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. 2021 Jan 5;26(1):246. doi: 10.3390/molecules26010246

Optimization of Vacuum-Microwave-Assisted Extraction of Natural Polyphenols and Flavonoids from Raw Solid Waste of the Orange Juice Producing Industry at Industrial Scale

Konstantinos Petrotos 1,*, Ioannis Giavasis 2, Konstantinos Gerasopoulos 1, Chrysanthi Mitsagga 2, Chryssoula Papaioannou 1, Paschalis Gkoutsidis 1
Editor: Julio A A Seijas Vázquez
PMCID: PMC7796447  PMID: 33466479

Abstract

Orange pomace (OP) is a solid waste produced in bulk as a byproduct of the orange juice industry and accounts for approximately 50% of the quantity of the fruits processed into juice. In numerous literature references there is information about diverse uses of orange pomace for the production of high-added-value products including production of natural antioxidant and antimicrobial extracts rich in polyphenols and flavonoids which can substitute the hazardous chemical antioxidants/antimicrobials used in agro-food and cosmetics sectors. In this work and for the first time, according to our knowledge, the eco-friendly aqueous vacuum microwave assisted extraction of orange pomace was investigated and optimized at real industrial scale in order to produce aqueous antioxidant/antimicrobial extracts. A Response Surface Optimization methodology with a multipoint historical data experimental design was employed to obtain the optimal values of the process parameters in order to achieve the maximum rates of extraction of OP total polyphenols and/or total flavonoids for economically optimum production at industrial scale. The three factors used for the optimization were: (a) microwave power (b) water to raw pomace ratio and (c) extraction time. Moreover, the effectiveness and statistical soundness of the derived cubic polynomial predictive models were verified by ANOVA.

Keywords: orange pomace, vacuum-microwave-assisted extraction (VMAE), response surface optimization, historical data design, polyphenols, flavonoids, industrial scale optimization

1. Introduction

Orange fruit belongs to the species Citrus sinensis and to the family Rutacae and it originates from China. It is designated as sweet orange in order to be discriminated from the bitter orange which is known as Citrus aurantium [1] and it is cultivated in tropical and subtropical regions. In 2017, the global production of fresh orange fruits was 73 million MT and with Brazil to have share of 24% of this, and with China and India follow. According to Lohrasbi et al. [2], 33% of the global orange fruits production is industrially processed and 15 million MT of solid orange fruit waste, known as raw orange pomace, are produced, which roughly represents the 50% of the total orange fruits which are processed [3]. The orange pomace consists of peels, seeds, pulp, and segment residue [4].

In an investigation carried out by Sharma et al. [5], it was found out that orange peel could be a valuable raw material for production of a variety of high-added-value products as it contains substantial quantities of flavonoids, carotenoids, edible fibers, polyphenols, essential oils and ascorbic acid as well as sugars that could be a good substrate of various fermentations. Putnik et al. [6], reviewed these alternative valorization options for orange pomace which include production of antioxidants, edible fibres, pectin, essential oil, enzymes, bioethanol, electric acid, biogas and use of the pomace as soil improvement material or animal feed. Martinez-Hernandez et al. [7] studied in detail the techno-economic and environmental aspects of the energy valorization of orange peel waste for steam generation and concluded that this is feasible at industrial scale provided a minimum of 500 t/d orange peel processing capacity is used. According to their results, strategies such as stream energy recovery, excess ratio optimization, as well as water and value-added chemical recovery are recommended to develop synergetic relationships in the energy–water nexus of the conversion of orange peels into energy. These options can be used separately or in combination to each other targeting a desired total discharge of the solid waste of the orange juice producing industry. Regarding the average composition of orange pomace, Sulekha Gotmare & Jaya Gade [8] reported that sun-dried orange pomace consists of: moisture: 9.2 ± 0.01% w/w, crude fibers: 14.17 ± 0.36% w/w, protein: 12.43 ± 0.20% w/w, ash: 7.8 ± 0.01% w/w. carbohydrates: 52.90 ± 0.43% w/w. In addition, concerning the phenolic content of orange pomace, it contains polyphenols belonging mainly to the class of flavonoids and in particular flavones, flavonols, flavonons, isoflavons, anthocynidines and flavanols. The main flavonoids of orange fruit are hesperidin, narirutin, eriocitrin, naringin, neohesperidin, neoeriocitrin and among them hesperidin and narirutin are dominant [7,8,9]. Also, a series of short-chain bioactive phenolic acids including caffeic, chlorogenic, ferulic, sinapic and p-cumaric reported to be constituents of the phenolic profile of orange pomace [10]. The chemical structures of the main antioxidants of orange pomace are presented in Appendix A.

The extraction of high-added-value phenolics and flavonoids from orange pomace is one of the first steps of any scheme of biorefinery targeting a total discharge of this solid waste. Thus, a variety of methods, with some of them very innovative and cutting-edge, have been used for the effective extraction of them. Luengo et al. [11] successfully used pulsed electric field technology (PEF) in order to increase the yield of the extracted orange pomace phenolics. In this study, a 159% increase of the total polyphenols extraction yield and 2–3 fold increase of the main orange pomace flavonoids (hesperidin and naringin) was observed at 1–7 KV/cm and tPEF = 60 μs, 20 pulses, f = 1 Hz and a further improvement was observed as far as the voltage was increased. Ma et al. [12] & Khan et al. [13] commented on the advantages of using ultrasound-assisted extraction at 25 kHz/150 W/30 °C/15 min or even at more intensive conditions and it included to them better extraction yield in shorter time, the lower extraction temperature and the smaller eco-footprint [14]. Furthermore, Londono-Londono et al. [15] studied the aqueous ultrasound-assisted extraction of orange pomace. In addition, as it is cited by Dahmoune et al. [16] & Mhiri et al. [17] optimized microwave-assisted extraction of orange pomace at the short extraction time of 122–180 s, microwave power 200–500 W, and extraction temperature of 120–135 °C, and solid-to-liquid ratio of 1/25 to 1/30 led to polyphenols extraction yield of 12.20–15.74 mg GAE g−1 of dry orange pomace. Min et al. [18] & Kim et al. [19] presented the advantages of using pressurized fluid extraction for extracting phenolics from orange extracts including the ability of this method to extract the highest quantity of methoxylated flavones. The proposed extraction conditions were T = 200 °C, P = 1.4 MPa, t = 60 min. Casquete et al. [20,21] studied the extraction of orange pomace phenolics with high pressure and pointed out that the optimum operational conditions were 300 MPa 10 min or alternatively 500 MPa 3 min. They also reported that the application of high pressure led to the increased antimicrobial effectiveness of the obtained extracts against Gram-positive and Gram-negative bacteria like Acinetobacter and Listeria. Faber et al. [22] & Memduha [23] carried out experimental research on supercritical carbon dioxide extraction of orange pomace using various combinations of pressure and temperatures. The results of this studies suggest that low (25 to 35 MPa) than high (200 MPa) operating pressures are more favorable for the total antioxidant capacity of the obtained extracts while the yield of total polyphenols appears to be higher at higher pressures. The concentration of total polyphenols extracted by this technology reported to range from 18 to 27.8 mg GAE/g of dry orange pomace. In addition, the temperature that used was in the range 40–60 °C and the use of ethanol as cosolvent was found to be beneficial. A new trend for the extraction of polyphenols and flavonoids from solid pomace from the orange juice industry is the use of green deep eutectic solvents as a replacement of the hazardous and explosive organic solvents. Information about this novel trend of eco green extraction of orange pomace is given in a series of literature references [24,25,26].

According to Nayak et al. [27], microwave-assisted extraction (MAE) not only provided higher recovery of total polyphenols, but also quality phenolic compounds with rich antioxidant activity. In a comparison of MAE (Microwave-Assisted Extraction) with CSE (Conventional Solvent Extraction), UAE (Ultrasound-Assisted Extraction) and Accelerated Solvent Extraction (ASE), it was observed that the mechanism of each extraction, i.e., application of microwave or ultrasound or accelerated solvent, has its own effects on selected individual phenolic compounds. In addition, some of the major findings from this investigation support the idea of green MAE extraction, including for example: (i) substantial reduction in the processing time (122, 500, 900 and 7200 s for MAE, UAE, ASE and CSE, respectively); (ii) reduction in the extraction solvent consumption; (iii) higher extraction recovery of total polyphenol content (TPC) (at the lab-scale batch process, the yield of TPC was 356.75, 305.41, 184.72 and 301.27 kg ton−1 h−1 for MAE, UAE, ASE and CSE, respectively); (iv) in the case of MAE, microwaves are selectively absorbed by the residual water present in C. sinensis peels; and (v) better customer acceptance of the byproducts (peels) made through this MAE ‘‘cleaner, greener’’ extraction technology. In addition, Nguyen et al. [28] studied the effects of microwave extraction conditions on polyphenol content and antioxidant activity of pomelo extract (Citrus maxima). Their research had shown that continuous microwave-assisted extraction was more effective than intermittent extraction. Alcohol content, extraction time, microwave power, material-to-solvent ratio, that significantly influence the extraction process, were the parameters to be investigated. Ethanol concentration of 60%, microwave power of 300 W, microwave-assisted time of 2 min, and material-to-solvent ratio of 1:30 were significant parameters obtained in the research. Hayat et al. [29], compared CSE, UAE, and MAE of phenolic acids from mandarin peel. The results indicated that MAE gave the highest content of ferulic acid (0.239 g/100 g DW) compared with UAE (0.235 g/100 g), whereas the ferulic acid content obtained by CSE was found to be the lowest (0.205 g/100 g DW). Furthermore, to increase the kinetics and yields of extraction of polyphenols from orange peels, researchers have evaluated the potential of combining two processes such as ultrasound (US) and microwaves techniques [30].

The target of the present work is to investigate and optimize, for the first time at industrial scale, and with both recovery and economic criteria, the microwave extraction of raw orange pomace and obtain the optimum conditions in terms of microwave power, water to raw orange pomace ratio, extraction time, and with the aim to get maximum yield or productivity of polyphenols or/and flavonoids. This information can then be used in order to produce, at industrial scale and in a financially favorable way, high-added-value bioactive aqueous orange pomace extracts and thus to exploit a mass-produced solid agro-food waste by the orange juice production industry. The optimized aqueous orange pomace extracts can be used either as natural antioxidants or/and as natural antimicrobials (extracts with maximum polyphenols and/or flavonoids content) targeting food, nutraceutical, cosmetic and agro-protection applications and leading to the improvement of the carbon footprint of the orange juice production industry.

2. Results

2.1. Predictive Modeling and Optimization of the Extracted Amount of Orange Pomace (OP) Total Polyphenols

The results of the total polyphenol content of the orange extracts are presented in Table 1. In particular, 80 vacuum microwave extraction experiments were carried out and three samples of the extract were collected in each respective run. The total polyphenol contents of each one of the obtained three samples per run were determined and the average values of them are listed in Table 1. By using the Design Expert software Version 12.0.0 the data of Table 1 were analyzed by RSM (Surface Response Methodology) and the mathematical modeling yielded the following model equation for the prediction of the extracted OP total polyphenols (TPE) (Equation (1)):

1SqrtTOTAL POLYPHENOL in mg GAE per 2 Kg raw OP  =+0.0151172.15515×106×MICROWAVE POWER  0.000104×WATER TO POMACE RATIO0.000027×EXTRACTION TIME   +3.52786×108×MICROWAVE POWER ×WATER TO POMACE RATIO  +6.48576×109×MICROWAVE POWER ×EXTRACTION TIME  2.88249×107×WATER TO POMACE RATIO × EXTRACTION TIME  +3.69373×1010×MICROWAVE POWER21.28659×106×WATER TO POMACE RATIO2  +1.01714×107×EXTRACTION TIME2  1.36113×1011×MICROWAVE POWER×2WATER TO POMACE RATIO  1.00364×1012×MICROWAVE POWER×2EXTRACTION TIME  +1.54571×109×MICROWAVE POWER × WATER TO POMACE RATIO2 (1)

Table 1.

Amount of total polyphenols and total flavonoids in raw orange pomace (OP) extracts and calculated productivity indices.

A/A Microwave Power *** Water-to-Solid Ratio Extraction Time (min) * Amount of Total Polyphenols in the Extract Expressed as Gallic Acid Equivalents (mg GA) ** Amount of Total Flavonoids in the OP Extract Expressed as Quercetin Equivalent (mg QE) Rate of Extraction of OP Total Polyphenols (mg GAE Kg−1 min−1) Rate of Extraction of Orange Pomace Total Flavonoids (mg QE Kg−1 min−1)
1 4000.00 20.00 15.00 8480 ± 121 630.3 ± 58 141.333 ± 2.02 10.505 ± 0.97
2 4000.00 20.00 30.00 9280 ± 132 877.58 ± 101 103.111 ± 1.47 9.75089 ± 1.12
3 4000.00 20.00 45.00 9760 ± 98 1229.09 ± 124 81.3333 ± 0.82 10.2424 ± 1.03
4 4000.00 20.00 60.00 10,240 ± 82 1517.58 ± 134 68.2667 ± 0.55 10.1172 ± 0.89
5 4000.00 20.00 75.00 10,480 ± 93 1949.09 ± 121 58.2222 ± 0.52 10.8283 ± 0.67
6 4000.00 20.00 90.00 10,800 ± 112 710.3 ± 76 51.4286 ± 0.53 3.38238 ± 0.36
7 4000.00 20.00 120.00 11,040 ± 65 576.97 ± 91 40.8889 ± 0.24 2.13693 ± 0.34
8 2000.00 30.00 15.00 8160 ± 84 690.91 ± 61 136 ± 1.40 11.5152 ± 1.02
9 2000.00 30.00 30.00 8640 ± 105 899.39 ± 72 96 ± 1.17 9.99322 ± 0.80
10 2000.00 30.00 45.00 9520 ± 132 1231.52 ± 123 79.3333 ± 1.10 10.2627 ± 1.03
11 2000.00 30.00 60.00 9920 ± 64 1481.21 ± 115 66.1333 ± 0.43 9.87473 ± 0.77
12 2000.00 30.00 75.00 9600 ± 76 1922.42 ± 131 53.3333 ± 0.42 10.6801 ± 0.73
13 2000.00 30.00 90.00 10,720 ± 123 768.48 ± 76 51.0476 ± 0.59 3.65943 ± 0.36
14 2000.00 30.00 120.00 10,800 ± 102 620.61 ± 73 40 ± 0.38 2.29856 ± 0.27
15 6000.00 30.00 15.00 8320 ± 78 218.18 ± 43 138.667 ± 1.30 3.63633 ± 0.72
16 6000.00 30.00 30.00 10,080 ± 103 300.61 ± 34 112 ± 1.14 3.34011 ± 0.38
17 6000.00 30.00 45.00 10,400 ± 86 409.7 ± 51 86.6667 ± 0.72 3.41417 ± 0.43
18 6000.00 30.00 60.00 10,400 ± 58 705.45 ± 112 69.3333 ± 0.39 4.703 ± 0.75
19 6000.00 30.00 75.00 10,080 ± 89 375.76 ± 43 56 ± 0.49 2.08756 ± 0.24
20 6000.00 30.00 90.00 12,080 ± 104 460.61 ± 52 57.5238 ± 0.50 2.19338 ± 0.25
21 6000.00 30.00 120.00 12,800 ± 134 460.61 ± 47 47.4074 ± 0.50 1.70596 ± 0.17
22 4000.00 30.00 15.00 8640 ± 87 630.3 ± 71 144 ± 1.45 10.505 ± 1.18
23 4000.00 30.00 30.00 9040 ± 97 295.76 ± 22 100.444 ± 1.08 3.28622 ± 0.24
24 4000.00 30.00 45.00 9760 ± 101 317.58 ± 41 81.3333 ± 0.84 2.6465 ± 0.34
25 4000.00 30.00 60.00 9760 ± 69 378.18 ± 52 65.0667 ± 0.46 2.5212 ± 0.35
26 4000.00 30.00 75.00 10,400 ± 114 375.76 ± 43 57.7778 ± 0.63 2.08756 ± 0.24
27 4000.00 30.00 90.00 11,040 ± 87 392.73 ± 52 52.5714 ± 0.41 1.87014 ± 0.25
28 4000.00 30.00 120.00 10,800 ± 93 450.91 ± 23 40 ± 0.34 1.67004 ± 0.09
29 2000.00 10.00 15.00 7680 ± 111 173.33 ± 25 128 ± 1.85 2.88883 ± 0.42
30 2000.00 10.00 30.00 8040 ± 132 214.55 ± 31 89.3333 ± 1.47 2.38389 ± 0.34
31 2000.00 10.00 45.00 8320 ± 86 200 ± 23 69.3333 ± 0.72 1.66667 ± 0.19
32 2000.00 10.00 60.00 8440 ± 75 256.97 ± 33 56.2667 ± 0.50 1.71313 ± 0.22
33 2000.00 10.00 90.00 8960 ± 83 260.61 ± 21 42.6667 ± 0.40 1.241 ± 0.10
34 2000.00 10.00 120.00 8680 ± 64 246.06 ± 26 32.1481 ± 0.24 0.911333 ± 0.10
35 4000.00 10.00 15.00 9600 ± 73 272.73 ± 41 160 ± 1.22 4.5455 ± 0.68
36 4000.00 10.00 30.00 8880 ± 101 305.45 ± 15 98.6667 ± 1.12 3.39389 ± 0.17
37 4000.00 10.00 45.00 9000 ± 85 443.64 ± 25 75 ± 0.71 3.697 ± 0.21
38 4000.00 10.00 60.00 9960 ± 91 461.82 ± 27 66.4 ± 0.61 3.0788 ± 0.18
39 4000.00 10.00 75.00 10,320 ± 121 469.09 ± 36 57.3333 ± 0.67 2.60606 ± 0.20
40 4000.00 10.00 90.00 11,160 ± 112 469.09 ± 41 53.1429 ± 0.53 2.23376 ± 0.20
41 6000.00 20.00 15.00 8760 ± 103 261.82 ± 27 146 ± 1.72 4.36367 ± 0.45
42 6000.00 20.00 30.00 9960 ± 85 247.27 ± 32 110.667 ± 0.94 2.74744 ± 0.36
43 6000.00 20.00 45.00 10,800 ± 126 363.64 ± 21 90 ± 1.05 3.03033 ± 0.18
44 6000.00 20.00 75.00 12,360 ± 132 341.82 ± 26 68.6667 ± 0.73 1.899 ± 0.14
45 6000.00 20.00 90.00 13,320 ± 98 374.55 ± 32 63.4286 ± 0.47 1.78357 ± 0.15
46 6000.00 20.00 120.00 13,800 ± 95 334.55 ± 41 51.1111 ± 0.35 1.23907 ± 0.15
47 6000.00 10.00 15.00 6560 ± 76 133.33 ± 21 109.333 ± 1.27 2.22217 ± 0.35
48 6000.00 10.00 30.00 7640 ± 81 178.18 ± 11 84.8889 ± 0.90 1.97978 ± 0.12
49 6000.00 10.00 45.00 7480 ± 73 189.09 ± 16 62.3333 ± 0.61 1.57575 ± 0.13
50 6000.00 10.00 60.00 8080 ± 97 192.73 ± 21 53.8667 ± 0.65 1.28487 ± 0.14
51 6000.00 10.00 75.00 7640 ± 71 220.61 ± 31 42.4444 ± 0.39 1.22561 ± 0.17
52 6000.00 10.00 90.00 8240 ± 104 318.79 ± 11 39.2381 ± 0.50 1.51805 ± 0.05
53 6000.00 10.00 120.00 8600 ± 73 233.94 ± 13 31.8519 ± 0.27 0.866444 ± 0.05
54 4000.00 20.00 15.00 8560 ± 86 613.33 ± 16 142.667 ± 1.43 10.2222 ± 0.27
55 4000.00 20.00 30.00 9280 ± 91 836.36 ± 32 103.111 ± 1.01 9.29289 ± 0.36
56 4000.00 20.00 45.00 9120 ± 94 1236.36 ± 37 76 ± 0.78 10.303 ± 0.31
57 4000.00 20.00 60.00 10,240 ± 128 1541.82 ± 82 68.2667 ± 0.85 10.2788 ± 0.55
58 4000.00 20.00 75.00 10,080 ± 121 1927.27 ± 56 56 ± 0.67 10.7071 ± 0.31
59 4000.00 20.00 90.00 11,040 ± 89 671.52 ± 31 52.5714 ± 0.42 3.19771 ± 0.15
60 4000.00 20.00 120.00 10,560 ± 115 545.45 ± 21 39.1111 ± 0.43 2.02019 ± 0.08
61 2000.00 20.00 15.00 9200 ± 123 749.09 ± 72 153.333 ± 2.05 12.4848 ± 1.20
62 2000.00 20.00 30.00 9120 ± 111 1129.7 ± 103 101.333 ± 1.23 12.5522 ± 1.14
63 2000.00 20.00 45.00 9440 ± 87 1343.03 ± 97 78.6667 ± 0.73 11.1919 ± 0.81
64 2000.00 20.00 60.00 9360 ± 91 1575.76 ± 84 62.4 ± 0.61 10.5051 ± 0.56
65 2000.00 20.00 75.00 11,200 ± 115 1934.55 ± 115 62.2222 ± 0.64 10.7475 ± 0.64
66 2000.00 20.00 90.00 10,560 ± 111 683.64 ± 52 50.2857 ± 0.53 3.25543 ± 0.25
67 2000.00 20.00 120.00 10,880 ± 87 656.97 ± 23 40.2963 ± 0.32 2.43322 ± 0.09
68 4000.00 20.00 15.00 9280 ± 121 673.94 ± 28 154.667 ± 2.02 11.2323 ± 0.47
69 4000.00 20.00 30.00 9360 ± 114 1095.76 ± 104 104 ± 1.27 12.1751 ± 1.16
70 4000.00 20.00 45.00 9680 ± 74 1318.79 ± 121 80.6667 ± 0.62 10.9899 ± 1.01
71 4000.00 20.00 60.00 10,160 ± 102 1604.85 ± 140 67.7333 ± 0.68 10.699 ± 0.93
72 4000.00 20.00 75.00 10,720 ± 116 1854.55 ± 117 59.5556 ± 0.64 10.3031 ± 0.65
73 4000.00 20.00 90.00 10,240 ± 121 722.42 ± 41 48.7619 ± 0.58 3.4401 ± 0.20
74 4000.00 20.00 120.00 10,800 ± 117 686.06 ± 52 40 ± 0.43 2.54096 ± 0.19
75 4000.00 20.00 30.00 10,680 ± 89 334.55 ± 21 118.667 ± 0.99 3.71722 ± 0.23
76 4000.00 20.00 45.00 11,040 ± 113 378.18 ± 19 92 ± 0.94 3.1515 ± 0.16
77 4000.00 20.00 60.00 11,040 ± 121 560 ± 18 73.6 ± 0.81 3.73333 ± 0.12
78 4000.00 20.00 75.00 10,440 ± 109 658.18 ± 41 58 ± 0.61 3.65656 ± 0.23
79 4000.00 20.00 90.00 11,760 ± 118 530.91 ± 38 56 ± 0.56 2.52814 ± 0.18
80 4000.00 20.00 120.00 11,280 ± 76 450.91 ± 33 41.7778 ± 0.28 1.67004 ± 0.12

* The Figures of this column are calculated by multiplying the total polyphenols concentration of the extract by its volume = CP (mg/L) × Water-to-solid ratio × 2 Kg. ** The figures of this column are calculated by multiplying the total flavonoids concentration of the extract by its volume = CF (mg/L) × water-to-solid ratio × 2 Kg. *** Water/solid ratio is expressed in L Kg−1 and the mass of the solids were equal to 2 Kg for all experiments. **** The values in columns 4,5,6,7 are the average ± SD (standard deviation).

Furthermore, the ANOVA statistics of the RSM model, derived to correlate the extracted OP total polyphenols with the experimental factors, are presented in Table 2. Following ANOVA results it is concluded that the model is significant while its lack of fit is not significant. This implies that the developed model is good tool for prediction of the extracted amount of OP total polyphenols vs. the three experimental factors: (a) Microwave power (W) (b) Water to orange pomace ratio and (c) Extraction time (min) within the experimental design space. In addition, the calculated R2 value = 0.8417 is satisfactory and simultaneously there is a high degree of proximity between the calculated values of Adjusted R2 = 0.8133 and Predicted R2 = 0.7705 as the difference between them is, by far, less than the limit of 0.2 set by the method. Therefore, the derived RSM model can be used for effective prediction of the extracted amount of OP polyphenols within the design space as well as for optimization.

Table 2.

Analysis of Variance (ANOVA) of the derived model for prediction of the amount of the total polyphenols in OP extracts.

Sum of Squares df Mean Square F-Value p-Value
Model 0.0000 12 2.694 × 10−6 29.68 <0.0001 s ignificant
A—MICROWAVE POWER 1.232 × 10−6 1 1.232 × 10−6 13.57 0.0005
B—WATER-TO-POMACE RATIO 1.453 × 10−8 1 1.453 × 10−8 0.1601 0.6903
C—EXTRACTION TIME 3.906 × 10−6 1 3.906 × 10−6 43.04 <0.0001
AB 1.492 × 10−6 1 1.492 × 10−6 16.44 0.0001
AC 4.464 × 10−7 1 4.464 × 10−7 4.92 0.0300
BC 3.538 × 10−7 1 3.538 × 10−7 3.90 0.0525
2.789 × 10−7 1 2.789 × 10−7 3.07 0.0842
4.149 × 10−6 1 4.149 × 10−6 45.71 <0.0001
9.562 × 10−7 1 9.562 × 10−7 10.54 0.0018
A²B 2.560 × 10−6 1 2.560 × 10−6 28.21 <0.0001
A²C 3.512 × 10−7 1 3.512 × 10−7 3.87 0.0533
AB² 8.331 × 10−7 1 8.331 × 10−7 9.18 0.0035
Residual 6.081 × 10−6 67 9.076 × 10−8
Lack of Fit 4.673 × 10−6 47 9.942 × 10−8 1.41 0.2024 not significant
Pure Error 1.408 × 10−6 20 7.042 × 10−8
Cor Total 0.0000 79

The robustness of the derived model is further supported by the data presented in Figure 1 which illustrates the correlation among the predicted and actual values of the total amount of the extracted OP polyphenols and all the points are lying close to the central linear plot (45° line). Furthermore, in the Figure 2, Figure 3 and Figure 4 the effect of the paired interactions of the extraction factors A = microwave power, B = water/solid ratio, (W), C = extraction time (min) on the OP total polyphenols extraction yield is presented. Finally, by using the derived RSM cubic model and the facility of Expert Design 12.0.0 statistical software, the maximum value of the extracted OP total polyphenols was obtained at the following condition:

  • Microwave power: 5999.997 W,

  • Water to orange pomace ratio = 26.09

  • Extraction Time: 120.00 min

Figure 1.

Figure 1

Correlation of Predicted vs. Actual values of the amount of the extracted orange pomace (OP) total polyphenols (mg GAE).

Figure 2.

Figure 2

Response surface plot of the amount of extracted total OP polyphenols (TPE in mg GAE) A × B interaction (A: Microwave Power (W); B: water/OP ratio).

Figure 3.

Figure 3

Response surface plot of the amount of extracted total OP polyphenols (TPE in mg GAE) A × C interaction (A: Microwave Power (W); C: extraction time (min)).

Figure 4.

Figure 4

Response surface plot of the amount of extracted total OP polyphenols (TPE in mg GAE) B × C interaction (B: Water/solid ratio; C: Extraction time (min)).

Whereas, the corresponding maximum amount of extracted OP total polyphenols, at the above-mentioned conditions, was found to be 13,559.802 mg per 2 Kg of extracted raw orange pomace.

  • Type of polynomial Model: Reduced Cubic model

  • Response: AMOUNT OF EXTRACTED OP TOTAL POLYPHENOLS (mg/2 kg raw OP)

  • Transform: Inverse Sqrt

  • Constant: 0

  • Fit Statistics

Std. Dev. 0.0003 0.8417
Mean 0.0101 Adjusted R² 0.8133
C.V. % 2.97 Predicted R² 0.7705
Adeq Precision 27.7094

2.2. Predictive Modeling and Optimization of the Extracted Amount of OP Total Flavonoids

The results of the extracted amount of OP total flavonoids are summarized in Table 1. In particular, 80 vacuum-microwave-assisted extraction experiments were carried out and three samples of the extract were collected per each respective run. The total flavonoid content of each one of the three collected extracts per run were determined and the average values of them are listed in Table 1. By using the Design Expert software Version 12.0.0 the OP total flavonoids data were analyzed by RSM (Surface Response Methodology) and the mathematical modeling yielded to the Equation (2), which correlates the amount of the extracted OP total flavonoids (TFE), expressed as quercetin equivalents (QE), with the three respective experimental factors: (a) Microwave power (W) (b) Water-to-OP ratio and (c) Extraction time (min). Furthermore, by using the guidance of the Cox and Box graph, the inverse squared option was selected as the most appropriate transformation of the OP total flavonoids response for effective data fitting and consequently by regression the cubic polynomial predictive model equation was derived (Equation (2)):

1.0SqrtTOTAL FLAVONOIDS in mg QE per 2 Kg of raw OP      =+0.300807.64856 X105× MICROWAVE POWER      0.019707       ×WATER TO POMACE RATIO8.02145 X 104× EXTRACTION TIME     +4.25803 X 106× MICROWAVE POWER ×WATER TO POMACE RATIO     3.60410 X 108× MICROWAVE POWER × EXTRACTION TIME     +4.92113 X 105× WATER TO POMACE RATIO× EXTRACTION TIME      +8.53348 X 109×MICROWAVE POWER2     +3.27486 X 104×WATER TO POMACE RATIO2+3.03073 X 106× EXTRACTION TIME2     3.48160 X 1010× MICROWAVE POWER2×WATER TO POMACE RATIO     3.22215 X 108× MICROWAVE POWER × WATER TO POMACE RATIO2     1.09277 X 106× WATER TO POMACE RATIO2× EXTRACTION TIME (2)

Moreover, in Table 3, the model’s ANOVA statistics are presented. According to ANOVA, the model is significant while its lack of fit is not significant which implies that it is a good tool for prediction of the amount of total OP flavonoids in the extracts vs. the three experimental factors within the selected design space. The R2 value (0.8552) is high, which reveals a satisfactory correlation of the extracted amount of OP total flavonoids with the three experimental factors. In addition, the value of the Adjusted R2 (0.8293) is very close to the Predicted R2 (0.8105) value, which means that there is satisfactory prediction by the developed model equation. The effectiveness of derived model is additionally supported by the data presented in Figure 5. In this Figure, the predicted vs. actual values of the amount of the extracted OP total flavonoids are correlated and all the individual points come very close to the central linear plot with an angle of 45°. In addition, in the Figure 6, Figure 7 and Figure 8, the plots illustrate the effect of the paired interactions of the three factors (A = Microwave power (W), B = Water/solid ratio, C = Extraction time (min)) on the orange pomace total flavonoids extraction yield. Finally, by using the derived cubic polynomial RSM model and the facility of Expert Design 12.0.0 statistical package, the maximum value of the extracted amount OP total flavonoids was found to be reached at the following extraction condition:

  • Microwave power: 2000 Watt

  • Water to solid orange pomace ratio: 24.12

  • Extraction time: 53.45 min

Table 3.

Analysis of variance (ANOVA) of the derived model for prediction of the amount of the total flavonoids in OP extracts.

ANOVA for Response Surface
Analysis of Variance Table [Partial Sum of Squares-Type III]
Source Sum of Squares df Mean Square F Value p-Value
Model 0.016 12 1.30 32.98 <0.0001 Significant
A—MICROWAVE POWER 1.86 1 1.86 47.37 <0.0001
B—WATER TO POMAVE RATIO 4.00 × 10−3 1 4.00 × 10−3 0.10 0.7506
C—EXTRACTION TIME 1.19 × 10−3 1 1.19 × 10−3 0.030 0.8624
AB 3.63 × 10−1 1 3.63 × 10−1 9.24 0.0034
AC 2.43 × 10−1 1 2.43 × 10−1 6.19 0.0153
BC 1.29 × 10−1 1 1.29 × 10−1 3.27 0.0749
A2 6.82 × 10−1 1 6.82 × 10−1 17.35 <0.0001
B2 2.79 1 2.79 70.92 <0.0001
C2 8.46 × 10−1 1 8.46 21.52 <0.0001
A2B 1.68 1 1.68 42.65 <0.0001
AB2 3.62 × 10−1 1 3.62 × 10−1 9.21 0.0034
B2C 2.60 × 10−1 1 2.60 × 10−1 6.60 0.0124
Residual 2.63 67 3.93 × 10−2
Lack of Fit 1.38 47 2.94 × 10−2 0.47 0.9826 Not Significant
Pure Error 1.25 20 6.25 × 10−2
Cor Total 0.018 79

Figure 5.

Figure 5

Correlation of Predicted vs. Actual values of the amount of extracted orange pomace total flavonoids.

Figure 6.

Figure 6

Response surface plot of the amount of extracted total OP flavonoids (TFE in mg QE) for the A × B interaction (A: Microwave power (W); B: Water to OP ratio).

Figure 7.

Figure 7

Response surface plot of the amount of extracted total OP flavonoids (TFE in mg QE) for the A × C interaction (A: Microwave power (W); C: Extraction time (min)).

Figure 8.

Figure 8

Response surface plot of the amount of extracted total OP flavonoids (TFE in mg QE) for the B × C interaction (B: Water to orange pomace ratio; C: Extraction time (min)).

And, the maximum amount of extracted OP total flavonoids, at the above mentioned optimum conditions, was found to be 1909.27 mg QE/2 kg of extracted raw OP.

  • Type of polynomial model: reduced cubic model

  • Response: AMOUNT OF EXTRACTED OP TOTAL FLAVONOIDS (mg QE per 2 kg raw OP)

  • Transform: Inverse Sqrt

  • Constant: 0

  • Fit Statistics

Std. Dev. 6.27 R-Squared 0.8552
Mean 0.046 Adj R-Squared 0.8293
C.V. % 13.72 Pred R-Squared 0.8105
PRESS 3.45 Adeq Precision 23.712

2.3. Simultaneous Optimization of Total Polyphenols Content and Total Flavonoids Content of OP Extracts

In addition, the simultaneous maximization of the amount of extracted OP total polyphenol and total flavonoids was carried out. The methodology to obtain the optimum amount of the extracted OP total polyphenols and flavonoids simultaneously, was based on the function of Design Expert software that can calculate the values of the extraction parameters which lead to a common convergence of the extracted amounts of OP total polyphenols and total flavonoids to values as close as possible to their independent optima.

By this methodology, the following set of optimum extraction conditions that simultaneously maximize the extracted amounts of OP total polyphenols and OP total flavonoids was obtained:

  • Microwave Power: 2000.00 W

  • Water to solid orange pomace ratio: 24.95

  • Extraction Time: 63.96 min

At the above-mentioned optimum extraction conditions for simultaneous optimization of the amount of OP total polyphenols and total flavonoids in the orange pomace extracts obtained by VMAE, the corresponding optimum values found to be 9977.48 mg GAE for total polyphenol, which represents the 73.58% of the independent polyphenols optimum, and 1847.42 mg of QE for total flavonoids, which represents the 96.76% of the independent flavonoids optimum respectively.

The predicted optimum extraction conditions and the corresponding optimum values of responses (extracted amounts of OP polyphenols and flavonoids) independently or in combination of two are summarized in Table 4.

Table 4.

Optimum (maximum) values of antioxidant parameters of OP extracts vs. VMAE parameters.

Optimized Extraction Conditions Optimized Antioxidant Parameters
Optimization Target Microwave Power (W) Water/OP Ratio Extraction Time
(min)
Maximum of Extracted OP Total Polyphenols
(mg GAE per 2 Kg Raw OP)
Maximum of
Extracted OP Total Flavonoids
(mg QE per
2 Kg Raw OP)
Total polyphenols 5999.997 26.09 120.00 13,559.802
Total flavonoids 2000.00 24.12 53.45 1909.27
Total polyphenols + Total flavonoids 2000.00 24.95 63.96 9977.48 1847.42

2.4. The Economic Optimization of the OP VMA Extraction at Industrial Scale and the Determination of the Corresponding Optimum Values of Extraction Conditions to Obtain Maximum Rates of Extraction (Productivities) for OP Total Polyphenols and OP Total Flavonoids Respectively

2.4.1. Maximization of the Rate of the Extraction (Productivity) of Raw OP Total Polyphenols

By using the derived Equation (7) in paragraph 4.6, the extraction rate of orange pomace total polyphenols was calculated for each one of the 80 experimental points and recorded in Table 1 vs. the three experimental factors (a) Microwave power (W), (b) Water to orange pomace ratio and (c) Extraction time (min). Consequently, the recorded data were introduced in Design Expert software and analyzed by adopting the multipoint historical data design and Surface Response Methodology (RSM) in order to derive the predictive polynomial model to fit them. By using the Box-Cox plot for power transforms the natural log transformation of the dependent variable (Rate of total polyphenols extraction) was selected as the best for achieving the most effective data fitting. Moreover, by using the derived model, the optimum process parameters, which maximize the extraction rate of OP total polyphenols and therefore the productivity, were determined at industrial scale. Finally, the Analysis of Variance (Table 5.) applied to the data yielded a high correlation factor R2 = 0.9823 and also to a high degree of proximity among the adjusted R2 = 0.9788 and predicted R2 = 0.9737 (difference by far less than the proposed maximum acceptable limit of 0.2) which implies that the derived model can be successfully used for prediction within the selected design space as well as for effective industrial scale economic optimization.

Table 5.

Analysis of variance (ANOVA) for the reduced cubic RSM model of OP total polyphenols productivity.

Source Sum of Squares df Mean Square F-Value p-Value
Model 13.00 13 0.9997 281.68 <0.0001 S ignificant
A-MICROWAVE POWER 0.0551 1 0.0551 15.53 0.0002
B-WATER TO OP RATIO 0.0007 1 0.0007 0.2030 0.6538
C-EXTRACTION TIME 1.12 1 1.12 314.89 <0.0001
AB 0.0540 1 0.0540 15.22 0.0002
AC 0.0200 1 0.0200 5.64 0.0205
BC 0.0183 1 0.0183 5.15 0.0265
0.0070 1 0.0070 1.96 0.1662
0.1607 1 0.1607 45.28 <0.0001
0.6004 1 0.6004 169.18 <0.0001
A²B 0.0921 1 0.0921 25.95 <0.0001
A²C 0.0136 1 0.0136 3.84 0.0544
AB² 0.0336 1 0.0336 9.47 0.0030
0.0720 1 0.0720 20.29 <0.0001
Residual 0.2342 66 0.0035
Lack of Fit 0.1770 46 0.0038 1.34 0.2394 Not Significant
Pure Error 0.0573 20 0.0029
Cor Total 13.23 79
  • Response: TOTAL OP POLYPHENOLS PRODUCTIVITY (mg GAE kg−1 min−1)

  • Transform: Natural Log

  • Constant: 0

In addition, the derived RSM polynomial model equation was found to be of reduced cubic form and it is analytically given here (Equation (3))

Ln(POLYPHENOLS PRODUCTIVITY in mg GAEkg1raw OPmin1)=+4.68567+0.000399× MICROWAVE POWER+0.017730× WATER TO POMACE RATIO−0.033546× EXTRACTION TIME−(6.00198 ×106)× MICROWAVE POWER × WATER TO POMACE RATIO−(1.25585 ×106)× MICROWAVE POWER × EXTRACTION TIME+0.000066× WATER TO POMACE RATIO × EXTRACTION TIME−(6.95551 ×108)× MICROWAVE POWER2+0.000278× WATER TO POMACE RATIO2+0.000285× EXTRACTIONTIME2+(2.58285 ×109)× MICROWAVEPOWER2× WATER TO POMACE RATIO+(1.97819 ×1010)× MICROWAVEPOWER2× EXTRACTION TIME−(3.10450 ×107)× MICROWAVE POWER × WATER TO POMACERATIO2−(1.02940 ×106)× EXTRACTIONTIME3 (3)

Furthermore, the optimum extraction conditions and the corresponding maximum value of the raw OP total polyphenols extraction rate (productivity) were found to be the following:

  • Microwave power: 4484.777 W

  • Water to solid orange pomace ratio: 19.619

  • Extraction Time: 15.00 min

  • The optimum rate of OP total polyphenols extraction (maximum productivity) 154.074 mg GAE Kg−1 min−1.

2.4.2. Maximization of the Rate of the Extraction (Productivity) of Raw OP Total Flavonoids

By using the Equation (8), which was derived in paragraph 4.6., the rate of extraction of orange pomace total flavonoids was calculated for each one of the 80 experimental points and the calculated values are listed in Table 1 vs. the three experimental factors (a) Microwave power (W), (b) Water to orange pomace ratio and (c) Extraction time (min). Consequently, the data (as average values) were introduced in Design expert software and analyzed by adopting the multipoint historical data design and Response Surface Methodology (RSM) in order to derive the predictive cubic polynomial model to fit them. Moreover, in a subsequent step, by using the derived model, the optimum process parameters which maximize the rate of extraction of OP total flavonoids and therefore correspond to the most economical operation at industrial scale, were determined (point of maximum total OP flavonoids productivity). By consulting the Box-Cox plot for power transformations, the inverse square transformation of the dependent variable (rate of OP total flavonoids extraction) was found to be the appropriate for the most effective data fitting. In addition, Analysis of Variance (Table 6) which applied to the model presented a high correlation factor R2 = 0.8784 and also a high degree of proximity of the Adjusted R2 = 0.8627 and Predicted R2 = 0.8500, which implies that the derived model can be successfully used for prediction purposes within the selected design space as well as for effective optimization at industrial scale.

Table 6.

ANOVA for reduced cubic RSM model of OP total flavonoids productivity.

ANOVA for Response Surface Reduced Cubic Model
Analysis of Variance Table [Partial Sum of Squares-Type III]
Source Sum of Squares df Mean Square F Value p-Value
Model 2.86 9 0.32 56.17 <0.0001 S ignificant
A—MICROWAVE POWER 0.26 1 0.26 45.33 <0.0001
B—WATER TO POMACE RATIO 4.61 × 10−1 1 4.61 × 10−1 0.081 0.7762
C—EXTRACTION TIME 0.99 1 0.99 175.59 <0.0001
AB 0.047 1 0.047 8.22 0.0055
A2 0.080 1 0.080 14.07 0.0004
B2 0.41 1 0.41 72.45 <0.0001
C2 0.050 1 0.050 8.75 0.0042
A2B 0.24 1 0.24 41.80 <0.0001
AB2 0.052 1 0.052 9.13 0.0035
Residual 0.40 70 5.66
Lack of Fit 0.23 50 4.62 0.56 0.9505 Not Significant
Pure Error 0.17 20 8.27
Cor Total 3.26 79
  • Response: OP TOTAL FLAVONOIDS PRODUCTIVITY (mg QE kg−1 min−1)

  • Transform: Inverse Sqrt

Std. Dev. 0.075 R-Squared 0.8784
Mean 0.55 Adj R-Squared 0.8627
C.V. % 13.77 Pred R-Squared 0.8500
PRESS 0.49 Adeq Precision 31.686

In addition, the derived RSM polynomial model equation was of reduced cubic form and it is analytically given here by Equation (4):

1.0Sqrt of FLAVONOIDS PRODUCTIVITY in mg QE Kg1 min 1= +2.995309.20482 × 104 × MICROWAVE POWER0.19673 × WATER TO POMACE RATIO+ (3.78348 × 104) × EXTRACTION TIME+ (5.04735 × 105) × MICROWAVE POWER × WATER TO POMACE RATIO+ (9.94101 × 108) × MICROWAVE POWER2+ (3.07567 × 103) × WATER TO POMACE RATIO2+ (2.31225 × 105) × EXTRACTION TIME2 (4.12374 × 109) × MICROWAVE POWER2 × WATER  TO POMACE RATIO (3.85059 × 107) × MICROWAVE POWER × WATER TO POMACE RATIO2 (4)

Finally, the optimum extraction conditions and the corresponding maximum rate of extraction of raw OP total flavonoids were found to be the following:

  • Microwave power: 2000.00 W

  • Water to solid orange pomace ratio: 24.35

  • Extraction time: 15.00 min

Optimum (maximum) rate of OP total flavonoids extraction (maximum OP flavonoids productivity at industrial scale) equaled 26.08 mg QE Kg−1 min−1.

2.5. Validation of the Mathematical Models Developed to Predict the Extracted Amount of OP Total Polyphenols and OP Total Flavonoids as Well as the Productivities of the OP VMAE Concerning Total Polyphenols and Flavonoids

For the validation of the precision of the four developed predictive mathematical models, the absolute average % error between the measured and predicted values were calculated and they are presented in the following Figure 9.

Figure 9.

Figure 9

Absolute % mean error of prediction of the derived four Response Surface Methodology (RSM) models.

From the values of the % mean error of prediction for the four RSM models presented in the Figure 9, a high prediction accuracy is concluded for all models and especially in the case of the OP total polyphenols. In addition, a two-tailed paired t-test was performed between the actual and the predicted values of the antioxidant properties of the OP extracts as well as between the actual and the predicted rates of extraction of OP total polyphenols and total flavonoids and the results, which are presented in Table 7, suggest in all cases that there is no statistically significant difference between the actual and predicted values. This is yet another proof towards the robustness of the derived models.

Table 7.

Results of the statistical t-test analysis applied between predicted and actual values of the extracted total polyphenols and total flavonoids of orange pomace extracts as well as between the predicted and actual productivities of them.

a/a t Value p Value Statistical Significance (2-Tailed)
Significance Level = 0.05
1 Pair 1 PM-PP −0.17411 0.862004 p value = 0.862004 > 0.05
therefore no significant difference between predicted and measured amounts of OP total polyphenols
2 Pair 2 FM-FP −0.02704 0.978465 p value = 0.978465 > 0.05
therefore no significant difference between predicted and measured amounts of OP total flavonoids.
3 Pair 3 PRM-PRP 0.01359 0.989174 p value = 0.989174 > 0.05
therefore no significant difference between predicted and measured extraction rate values of OP total polyphenols
4 Pair 4 FRM-FRP −0.01204 0.990407 p value = 0.990407 > 0.05
therefore no significant difference between predicted and measured extraction rate values of OP total flavonoids
(1) PM—measured values of extracted total OP polyphenols
(2) PP—predicted values of extracted total OP polyphenols
(3) FM—measured values of extracted total OP flavonoids
(4) FP—predicted values of extracted total OP flavonoids
(5)PRM—measured values of the rate of extracted total OP polyphenols
(6)PRP—predicted values of the rate of extracted total OP polyphenols
(7)FRM—measured values of the rate of extracted total OP flavonoids
(8)FRM—predicted values of the rate of extracted total OP flavonoids

3. Discussion

3.1. The Effect of Process Parameters on the Extracted Amounts of OP Total Polyphenols and Flavonoids by Industrial Scale VMAE Extraction

In the case of the extraction of OP total polyphenols, the factor A (Microwave power) has a significant and very clear increasing effect on the total amount of the extracted OP polyphenols, while the increase of factor B (Water to orange pomace ratio) has initially a positive effect on the extracted amount of total OP polyphenols up to a maximum value is reached and after that the extracted amount total OP polyphenols declines. Finally, as far as the extraction factor C (Extraction time) is concerned, this has a clear increasing effect on the amount of extracted total OP polyphenols. Similar trend concerning the effect of extraction parameters on the MAE extraction yield, reported by Özbek et al. [31] and Mendes et al. [32] in the case of MAE of polyphenols extraction from pistachio hull and Lycium barbarum and the explanation that was given by them is the following: (a) the increase in microwave power results in an increase in the extracted amount of total polyphenols which may be explained by the easier penetration of the solvent into the plant structure as a result of increasing power that facilitates cell rupture and thus enhances the extraction; (b) higher phenolic yield can be obtained at the longer extraction time and higher solvent-to-sample ratio and the extraction yield increases with the increase in solvent-to-sample ratio, but, when the ratio exceeded a certain limit, the amount of extracted total polyphenols began to decrease. This decrease that is observed after a limit of water-to-solid ratio is reached can be attributed to the excessive increase of the total volume exposed to the microwaves which reduces the wave effect per Kg of total mass. Moreover, the significant terms of the derived predictive model for the extracted amount of OP total polyphenols are: A, C, AB, AC, B2, C2, A2B and AB2 which, according to the p-data listed in Table 2, present p-values less than 0.05 and thus mark the significant terms and interactions of the extraction parameters that affect the model response value (amount of extracted OP total polyphenols).

In addition, in the case of extraction of OP total flavonoids factor A (microwave power) has a clear and substantial decreasing effect on the total amount of the extracted OP flavonoids, which can be attributed to an inherent sensitivity of OP flavonoids to high-intension MW treatment. Moreover, regarding factor B, initially, by increasing it, a substantial positive effect on the extracted amount of OP total flavonoids is observed up to a maximum value and afterwards the extracted amount of OP total flavonoids starts to decline by further increase of B factor. Finally, with regards to the extraction parameter C (extraction time) initially has a clear increasing effect on the amount of extracted total OP flavonoids until this reaches a maximum value. Then any further increase of extraction time causes a rapid reduction of the extracted amount of total OP flavonoids probably due to the sensitivity of the OP flavonoids to long exposure to the MW power and high temperatures. This finding is fully in line with the views expressed by [17] who have commented about the sensitivity and easy degradation of the flavonoids of orange juice solid waste in case they are exposed at either high extraction temperature or intensive extraction conditions (e.g., high microwave or ultrasound power) and they also confirmed by Das [33] who conducted MAE extraction of natural flavonoids from onion peels and found out the same trend as described above. Finally, the significant terms of the predictive model of the extracted amount of OP total flavonoids are: A, AB, AC, A2, B2, C2, A2B, AB2 and B2C which, according to the ANOVA statistics summarized in Table 3, present p-values less than 0.05 and thus mark the significant terms and interactions of the extraction parameters that affect and determine the model response value.

3.2. The Effect of Process Parameters on the Productivities of the Industrial Scale VMAE Extraction of Raw OP Total Polyphenols and Flavonoids

In the case of the rate of the VMAE extraction (productivity) of OP total polyphenols, by increasing the factor A (Microwave power), the rate of extraction of OP total polyphenols increases until it reaches a maximum value and after that it is getting reduced. Similarly, by increasing the factor B (Water/OP value), initially a positive effect on the rate of the extracted total OP polyphenols is observed up to a pick value and subsequently the rate of extraction of OP total polyphenols decreases. Conversely, as far as the extraction factor C (Extraction time) is concerned, as this increases it causes a remarkable very steep decrease of the rate of extraction of total OP polyphenols. This suggests that the maximized extraction rate of OP total polyphenols which provide the most economic operation (maximum total polyphenols productivity at industrial scale) is obtained at a very low extraction time (just 15 min). Moreover, the significant terms of the OP total polyphenols rate of extraction predictive model are A, C, AB, AC, BC, B2, C2, A2B, A2C, AB2 and C3 which, according to the ANOVA statistics listed in Table 5, present p-values less than 0.05 and thus mark the significant model terms and interactions of the extraction parameters that affect and determine the model response value (total polyphenols productivity).

In addition, in the case of the rate of extraction (productivity) of OP total flavonoids the factor A (Microwave power) has a clear and substantial decreasing effect on the extraction rate of the OP flavonoids which can probably be attributed to an inherent sensitivity of OP flavonoids to high intension MW treatment. Moreover, concerning factor B (water to OP ratio), initially, by increasing B, a substantial positive effect is introduced to the rate of extraction of the OP total flavonoids and, then, as a certain maximum value is reached, afterwards the rate of extraction of OP total flavonoids starts to decline as factor B further increases. Finally, regarding parameter C (extraction time), by increasing this, a very steep decrease on the rate of extraction of total OP flavonoids is observed. This means that the maximum productivity of OP total flavonoids is obtained after a short interval (just 15 min) and low MW power. Finally, the significant terms of the extraction rate predictive model for OP total flavonoids are A, C, AB, A2, B2, C2, A2B and AB2, which, according to the data listed in Table 6, have p-values less than 0.05 and thus mark significant model terms and interactions of the extraction parameters that affect the model response value (total flavonoids productivity).

3.3. Comparison of the Optimized Values of Extracted OP Total Polyphenols and Flavonoids of the Present Research Work with the Results Corresponding to Previous Works

According to the results of the present study the maximum amount of the polyphenols extracted from raw OP by vacuum-microwave-assisted extraction (VMAE) is 13,559.802 mg per 2 Kg of raw orange pomace or, equivalently, 6780 mg GAE Kg−1 raw orange pomace. Furthermore, as the dry matter of raw OP was determined to be 18% w/w, the maximum extracted OP total polyphenols expressed on a dry basis is calculated to be 6780 × 100/18 = 37667 mg GAE Kg−1 of OP dry matter. Similarly the maximum amount of the extracted OP flavonoids expressed on a dry basis is 1909.27 mg QE/2 × 100/18 = 5304 mg QE Kg−1 of dry OP.

According to Putnik et al. [6], the maximum of the extracted total polyphenols from dry orange peel extracts falls in the range 9100–49,200 mg GAE Kg−1 of dry peel while the corresponding maximum of flavonoids falls in the range of 2000–30,000 mg QE Kg−1 of dry peel. Further, Dahmoune et al. [16] & Mhiri et al. [17] reported yields of total polyphenols extracted from orange dry peel in the range of 12,200–15,740 mg of GAE Kg−1 obtained by using as extraction solvent water/ethyl alcohol solutions. In addition, Londono-Londono et al. [15] cited that aqueous ultrasound-assisted extraction of dry orange pomace yielded a value of total polyphenols equal to 66,360 mg GAE Kg−1 of dry orange waste and, for total flavonoids, a value of 40,250 mg QE kg−1 but this was obtained by using lab-scale equipment and OP raw material in dry powder form.

Furthermore, Faber et al. [22] & Memduha et al. [23], by investigating the supercritical carbon dioxide extraction of orange pomace, found that the obtained yield of total polyphenols by this technology ranged from 18,000 to 27,800 mg GAE Kg−1 of dry OP depending on the experimental conditions. In addition, Anagnostopoulou et al. [34], reported extraction yield of total polyphenols from orange waste in the range 36.3–2540 mg GAE Kg−1 DM and Casquete et al. [20] 2840 mg GAE Kg−1 DM. Finally, Escobedo-Avellaneda et al. [35], by using as extraction material the external colored section of the orange fruit (usually called flavedo), achieved a total polyphenols yield of 5886–6799 mg GAE Kg−1 of DM. From the above mentioned literature references, it is concluded that, in general, the yield of the extracted total polyphenols from the orange juice industry solid waste lies in the wide range of 36.3–66,360 mg GAE Kg−1, whereas the yield of total flavonoids was reported to be in the range of 2000–40,250 mg QE Kg−1 of dry solid waste. It is also worth noting that, according to Barbosa et al. [36], these substantial differences among the reported values by various researchers concerning the total polyphenols and flavonoids concentrations as well as total antioxidant activity of the orange juice solid wastes extracts can be attributed to the variations of the raw material (different cultivars and solid tissue composition) and to the use of different solvents and extraction modes.

Comparing the literature values with the findings of the present work, it is concluded that our optimum value for OP total polyphenols yield obtained by VMAE extraction is slightly above the middle of the range reported in the literature (37,667 mg GAE Kg−1 of dry OP compared to the highest value of 66,360 mg GAE Kg−1 reported in the literature) whereas the optimum value of the yield of OP total flavonoids of 5304 mg QE Kg−1 of dry OP obtained by VMAE extraction in the present work is within the range 2000–42,250 mg QE Kg−1 of dry OP reported in the literature. This can be attributed first to the quality of the raw OP used in the present work, which is substantially different to the dry and finely comminuted orange peel used in almost all cases by other researchers and also to the mechanical removal of the orange essential oil before the mashing of the fruits to obtain the juice by our supplier of the OP. This operational mode removes the major part of the natural antioxidants that originally are contained in the orange peel in the form of essential oil and therefore reduces the concentration of the phenolics in the orange pomace. In addition, the orange cultivar and the extractor dynamics can be considered as parameters that could cause this difference. Finally, in the present research, for the first time, according to our knowledge, optimization of the aqueous VMAE for raw orange pomace at industrial scale was carried out. For this reason, the results obtained in the context of the present work cannot be directly comparable to those of previous research works because all of them were conducted at lab scale. However, our results are particularly interesting and readily usable by the industry as no scale up is required for them.

3.4. Comparison of the Model Derived in the Present Work with Models Suggested in the Literature

The vacuum-microwave-assisted extraction is a typical paradigm of a solid–liquid extraction and many researchers have developed models to be used for the prediction of the concentration or alternatively of the amount of the extracted bioactive compounds. As cited by Akhtar [37], whenever working with microwave-assisted extraction, the efficiency of the process can be enhanced by considering the solvent type, solvent to plant material ratio, extracting power of microwaves, resultant temperatures, time of extraction as well as nature of plant matrix and targeted molecule. We can have significant results only by considering the above mentioned factors in microwave-assisted extraction [38].

In the literature, there are two types of mathematical models dedicated to microwave extraction: theoretical models based on chemical engineering principles about solid–liquid diffusion [39,40,41,42] and empirical statistical models based mostly on Response Surface Methodology (RSM) [17,31,43,44,45] but also on Adaptive Neuro-Fuzzy Inference System (ANFIS) statistical methodology [46,47].

From the above-mentioned models, the theoretical ones are not very useful in the case we need to obtain the optimum conditions for industrial-scale optimization of the VMAE extraction of bioactive phytochemicals. This is because they involve only the dependence of the extracted amount of the targeted substance vs. time and not the combined effect of the three significant extraction parameters (Microwave power, water to solid ratio and extraction time). On the contrary, the empirical statistical models connect the extraction yield to all extraction parameters and they can give the overall optimum of the response. Furthermore, the empirical models incorporate the effect of the disintegration of a part of the total polyphenols and flavonoids due to shear or thermal stress during the process which is not taken into account in all of the above-mentioned theoretical models.

For the above reason, in our case, a novel empirical model was selected based on the RSM methodology but with significant differences compared to the typical Box and Behnken experimental design used by previous researchers. In particular, with the target to increase the accuracy of the optimization, a denser experimental plan designated as “historical data design” was adopted with a significantly larger number of experimental points compared to the well-known Box & Behnken design used by other researchers. On top of this, by using the Cox & Box plot provided by the statistical software (Design Expert), a proper transformation of the model response was selected in order to improve the model accuracy and, in addition, a cubic instead of quadratic polynomial model was used to fit the experimental data. The increase of the degree of the polynomial model from 2 to 3 is suggested by the Design Expert software in cases where there is a strong nonlinearity in the dependence of the response (amount of extracted phytochemical) on the extraction parameters. This high nonlinearity can be easily concluded if we observe the form of theoretical model equations given in the literature above.

However, the novel approach of predictive modeling and optimization given in this paper can be tested further with more applications in order to be validated. Then it can be used to increase the effectiveness of the derived empirical statistical models dedicated to microwave extraction, by using a larger number of experimental points which can eliminate the negative effect of a single erroneous measurement and by proper transformation of the response.

Finally, despite the fact the experimental effort is heavier by this approach because of the higher number of experiments and the industrial size, the much better precision and the avoidance of scale-up can pay back for the extra effort.

3.5. Summary of the Points of Novelty of the Present Research Work

Concerning the novelty of the present research, this is based on the following points: (a) predictive modeling and optimization of OP extraction by aqueous “green” vacuum-microwave-assisted extraction for the first time at industrial scale and involving both maximum recovery as well as economic criteria; (b) use of raw orange pomace against dried used in previous research works and therefore avoidance of the costly and quality-deteriorating pomace drying and milling pretreatments; (c) use of statistical criteria for the correct selection of the optimum degree of the RSM polynomials and the optimum transformation of the dependent variables; and (d) use a comprehensive and multipoint “historical data” experimental design involving 80 experimental points in total in order to improve the accuracy of the derived predictive models and the precision of the determination of the optimum values.

4. Materials and Methods

4.1. Orange Pomace

The orange pomace was kindly supplied by the Greek orange juice producer, ALBERTA S.A. which is established in Argos Peloponnese-Greece. The orange variety from which the obtained pomace was coming from was the well-known orange fruit variety “Navel”. The obtained pomace was passed through a commercial meat mincer (model CANDY COMET supplied by D. Tomporis Co, 92 Cyprus str, Larisa, Greece) with a 3 mm hole diameter screen in order to become comminuted and then it was kept in a properly sealed plastic vacuum bag (2 Kg per bag) at −25 °C until used for extraction. Drying was not applied to the orange pomace in order to avoid oxidative degradation of the bioactive compounds.

4.2. Description of the Microwave Extractor and of the Extraction Methodology

The extraction of the orange pomace samples was conducted by using the industrial-scale vacuum-microwave extractor model MAC-75 (Milestone Inc., Sorisole (BG)–Italy) which is established in the premises of PELLAS NATURE Co (Edessa, Greece) and is illustrated in Figure 10.

Figure 10.

Figure 10

The setup of the industrial scale microwave extractor MAC 75/Μilestone Technologies.

The extraction trials of the orange pomace samples were conducted following the procedure described below. The frozen orange samples were first thawed at ambient temperature and 2 Kg of each sample were then collected and used as the extraction sample. The 2 Kg orange pomace sample was first put in a plastic basket which was then adjusted to the extraction cavity of MAC-75 vacuum-microwave extractor. Consequently, the machine door was closed and filled with the appropriate quantity of distilled water. The quantity of the water used in each trial was according to the water/solid ratio suggested by the experimental plan (shown in Table 1). In addition, the desired values of microwave power and extraction time were set via the electronic panel of the extractor, according to the experimental plan, and the industrial scale extractor was set in automatic operation. Cooling was not used during the extraction period and the temperature set point was set to maximum 80 °C (adopting a rising temperature extraction mode of operation). During each extraction trial, the samples of the extracts were collected at regular time intervals (15 min, 30 min, 45 min, 60 min, 75 min, 90 min and 120 min), filtered through plain filter paper and the filtrates were collected in plastic bottles and coded accordingly in order to easily and safely distinguish different samples. The collected samples were kept frozen at −25 °C in the freezing facility of the Laboratory of Food and Biosystems Engineering (University of Thessaly) for a short period until the selected bioactivity parameters were analyzed.

4.3. Total Polyphenols Determination Method

For the determination of the total polyphenols as GAE (gallic acid equivalents) of the obtained orange extracts, a slightly modified version of the method of Singleton et al. [48] and Waterhouse [49] was used. According to this method, initially a gallic acid solution was prepared by dissolving 0.5 g gallic acid in 10 mL of pure ethanol and the solution was then transferred in a 100 mL volumetric flask and the rest of the volume was filled by distilled water (preparation of a gallic acid stock solution of 5000 ppm). In addition, in a 1 L glass beaker, 200 g of anhydrous sodium carbonate were dissolved in 800 mL distilled water and the solution was boiled until the salt was fully dissolved. The solution was then cooled and kept at 24 h in dark, which resulted in the formation of crystals of anhydrous sodium carbonate, which were removed by filtration the next day. The clear filtrate was finally dissolved in a total volume of 1 L by adding the remaining distilled water in a 1L volumetric flask. Consequently, a set of standards of gallic acid was prepared by diluting 0 mL, 1 mL, 2 mL, 3 mL, 5 mL, 10 mL, and 20 mL of the gallic acid stock solution in six volumetric flasks of 100 mL each and filled with distilled water up to 100mL volume in order to prepare standard solutions of 0, 50, 100, 150, 250, 500 and 1000 ppm gallic acid. From each standard solution a quantity of 20 μL was mixed with 1.58 μL distilled water and 100 μL Folin–Ciocalteu reagent in a glass tube, and, within 8 min, a quantity of 100 μL sodium carbonate solution was added and the tubes were incubated for 2 h at 20 °C, after which their absorbance was measured by a UV-Vis photometer (model EVOLUTION TM 201 supplied by Thermo-Scientific Co, Shanghai, China) against the blind solution (0 ppm gallic acid concentration). The standard curve depicting gallic acid concentration vs. absorbance was constructed using the Microsoft Excel software and its R2 value was 0.9982. Calculation of the total polyphenols of extracts of OP was carried out following the same procedure and using the following equation of the standard curve:

Total polyphenol concentration of extract in ppm of GAE = absorbance of sample at 765 nm/0.001 (5)

Each measurement concerning total polyphenols was carried out in triplicate and the result was the average of the three obtained values.

4.4. Total Flavonoids Determination Method

The total flavonoids content expressed as mg of quercetin equivalents (QE)/L of the obtained orange pomace extracts was determined by using the colorimetric method of AlCl3, as described by [50]. The method is based on the principle that AlCl3 reacts with the hydroxyls of the flavonoids and produces a colored complex which has maximum absorbance at 420 nm. The total flavonoids content was expressed as quercetin equivalents (QE) per L of extract. The determination method for the total flavonoids was carried out as follows: 1.0 mL of the orange pomace extract or standard solution (used for the construction of the calibration curve) was added in a glass test tube to which 3 mL methanol, 200 μL of aqueous solution of 10% w/v AlCl3, 200 μL 1Μ potassium acetate solution and 5.6 mL distilled water were added. The tube was then agitated by vortex and incubated for 30 min at ambient temperature for the completion of the chemical reaction. The absorbance of each sample was measured at 420 nm against a blind solution which contained all the reagents except for the orange pomace extract which was replaced by distilled water.

For the construction of the calibration curve, a quercetin stock solution of 1000 ppm was prepared as well as a series of standard solutions of 50, 100, 200, 500 and 1000 ppm by serial dilutions of the stock. The absorbance of standard solutions was measured and plotted against their concentration and the linear equation obtained by Excel was used for the determination of the concentration of the total flavonoids of the OP extracts. The R2 value of the obtained linear correlation was 0.9834.

Calculation of the total flavonoids of OP extracts was carried out following the same procedure and using the following equation of the standard curve:

Total flavonoids concentration mg QE/L of extract = absorbance of sample at 420 nm/0.0055 (6)

Each measurement concerning total flavonoids was carried out in triplicate and the result was the average of the three obtained values.

4.5. Chemicals Used for Antioxidant Tests

All the chemicals used for the above mentioned antioxidant tests were selected from the standard catalog of the Sigma Aldrich company and they were supplied by the Greek representative Life Sciences Chemilab, 33 Amarantou str, 56431 Thessaloniki, Greece.

4.6. Modeling and Optimization Methodology

The methodology used for modeling and optimization had the following aims:

  • Modeling and optimization of total orange pomace polyphenol extraction;

  • Modeling and optimization of total orange pomace flavonoids extraction;

  • Simultaneous optimization of total orange pomace polyphenols, total flavonoids;

  • Modeling and optimization (maximization) of the rate of extraction of orange pomace polyphenols to achieve the maximum productivity (economic optimum);

  • Modeling and optimization (maximization) of the rate of extraction of orange pomace flavonoids to achieve the maximum productivity (economic optimum).

A multipoint historical data experimental design employing 80 experimental points evenly spread in the design space was used along with response surface methodology (RSM) to derive the relevant polynomial mathematical models for the prediction of total polyphenols and total flavonoids of the orange pomace extracts and obtain the corresponding optimum values. Three factors were used as optimization factors: (a) the microwave power in the range of 2000 to 6000 W; (b) the ratio of extraction water to orange pomace in the range from 10 to 30; and (c) the extraction time in the range of 15 min to 120 min. There were five optimization responses: (a) total polyphenol content; (b) total flavonoids content; (c) total polyphenols and total flavonoids content simultaneously; (d) the rate of the extraction of the total orange pomace polyphenols; and (e) the rate of extraction of the total orange pomace flavonoids. The Design Expert 12.0.0 statistical software was used to preform predictive modeling and optimization and derive the mathematical models. The selection of the appropriate order for the polynomial models to fit the experimental data was based to the statistical evaluation tools of the Design Expert software and concerning the optimum response transformation in order to obtain satisfactory fitting this was selected in all cases according to the suggestion of the Cox & Box Diagram. The reliability of the obtained models was validated by statistical analysis (ANOVA) and in all cases the statistical significance of the derived models as well as the desirable nonsignificance of lack of fit were confirmed. The validity of the derived models was also tested by conduction of measurements at experimental points within the design space different than the ones used to develop the models and, consequently, by comparison of the obtained predicted and measured values and determination of the magnitude of the mean prediction error.

4.7. Determination Method of the Extraction Rates of OP Total Polyphenols and Flavonoids

The most interesting target of optimization for the industry, on economic grounds, is the maximization of the rate of extraction of polyphenols or flavonoids from raw orange pomace.

The rate of the extraction of either total orange pomace polyphenols or total orange pomace flavonoids is determined using the following equations:

EXTRACTION RATE OF OP TOTAL POLYPHENOLS RTPEmg GAE Kg1OP min1 =Amount of extracted OP total polyphenols in mg GAEOP mass in Kg x t+tdelay in min (7)

where in our case:

  • -

    The amount of the extracted total orange pomace polyphenols as well as the corresponding extraction time (t) are given in Table 1;

  • -

    The mass of the extracted raw OP was in all cases equal to 2 Kg;

  • -

    Furthermore, the delay time (tdelay) between successive extraction cycles was 15 min.

In a similar manner:

EXTRACTION RATE OF OP TOTAL FLAVONOIDS RTFE mg QE Kg1OP min1 =Amount of extracted OP total flavonoids in mg QEOP mass in Kg x t+ tdelay in min (8)

where:

  • -

    The amount of the extracted OP total flavonoids is given in Table 1 as well as the corresponding extraction times (t);

  • -

    The mass of extracted raw OP was in all cases equal to 2 Kg;

  • -

    As above, the delay time (tdelay) between successive extraction cycles was 15 min.

By using the above-described equations, the rates of extraction of OP total polyphenols and total flavonoids were calculated using the data listed in Table 1 with the purpose to be maximized by RSM methodology to obtain the specific conditions for economically optimum industrial scale operation.

5. Conclusions

In the present work, for the first time, the aqueous eco green vacuum-microwave-assisted extraction of phenolics from bioactive raw orange pomace was investigated and optimized at real industrial scale. The essential difference of the present study in comparison with previous studies is that fresh humid raw pomace was used as extraction material instead of the dried orange pomace or dry peel in powder form which were used in the previous studies. This can improve the economics of potential industrial production of orange extracts because it omits the costly drying and milling steps involved in the case that dry orange pomace or peel is used as raw material for the extraction. According to the results obtained in the present study, natural antioxidant extracts can be produced at industrial scale by eco green vacuum-microwave extraction from fresh orange pomace at conditions optimized by Response Surface Methodology based on a novel multipoint historical data experimental design and using cubic polynomial models with appropriately transformed responses to improve the accuracy of the prediction. The optimum extraction yield expressed on dry orange pomace basis were found to be 37,667 mg of GAE Kg−1 and 5304 mg QE Kg−1 on a dry basis for OP total polyphenols and total flavonoids respectively.

The corresponding optimum values of the extraction parameters to achieve the above-mentioned maximum polyphenol and flavonoids extraction yields were found to be: (a) Microwave power = 5999.997 W, Water/OP ratio = 26.09 and Extraction time = 120.00 min for total polyphenols, and (b) Microwave power = 2000.00 W, Water/OP ratio = 24.12 and Extraction time = 53.45 min for total flavonoids. It is also worth noting that a set of extraction parameters corresponding to Microwave power = 2000.00 W, Water/OP ratio = 24.95 and Extraction time = 63.96 min could be an effective compromise in order to simultaneously optimize the total polyphenols and the total flavonoids of the orange pomace extract. Yet another important observation is that, in order to achieve the optimum (maximum) yield of polyphenols, operation at high microwave power and long time intervals, is required, while the optimum flavonoids yield is obtained at low microwave power and moderate time probably due to the sensitivity of their chemical structure.

Moreover, as industrial reality demands high productivity in order to achieve cost effective production, in the course of the present work the productivities of the VMAE extraction of raw OP total polyphenols and raw OP total flavonoids were optimized and the optimum conditions for total OP polyphenols and total OP flavonoids respectively were found to be (a) Microwave power = 4484.777 W, Water/OP ratio = 19.619 and Extraction time = 15 min for total polyphenols, and (b) Microwave power = 2000 W, Water/OP ratio = 24.35 and Extraction time = 15 min for total flavonoids. The optimization of the productivities can be used as explained for financial reasons while the maximization of the amounts of the extracted OP total polyphenols and flavonoids can alternatively be useful in case the emphasis is on the minimum content of phenolics in the postextraction waste. Something like that would be very important in the case that this waste is to undergo further processing (biorefinery principle) by fermentation in order to avoid undesirable retard of the used starter cultures by the remaining phenolics postextraction.

Acknowledgments

This research has been co-financed by the European Regional Development Fund of the European Union and Greek national funds through the Operational Program Competitiveness, Entrepreneurship and Innovation, under the call RESEARCH–CREATE–INNOVATE (Project code: T1EDK-03942).

Abbreviations

OP Orange pomace
VMAE Vacuum-microwave-assisted extraction
GAE Gallic acid equivalents
QE Quercetin equivalents
RSM Response surface methodology
DM Dry matter
TPE Extracted total polyphenols of the extract in mg GAE
TFE Extracted total flavonoids of the extract in mg QE
CSE Conventional solvent extraction
UAE Ultrasound-assisted extraction
MAE Microwave-assisted extraction

Appendix A

Figure A1.

Figure A1

Molecular structures of the main orange pomace phenolics and flavonoids.

Author Contributions

(a) K.P., project administration, methodology, writing—original draft preparation. (b) I.G., supervision. (c) K.G., investigation. (d) C.M., investigation. (e) C.P., validation. (f) P.G., investigation. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by the European Regional Development Fund of the European Union and Greek national funds through the Operational Program Competitiveness, Entrepreneurship and Innovation, under the call RESEARCH–CREATE–INNOVATE (Project code:T1EDK-03942).

Data Availability Statement

The data presented in this study are available on request from the corresponding author.

Conflicts of Interest

The authors declare no conflict of interest.

Sample Availability

Samples of the extracts are available from the authors.

Footnotes

Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

References

  • 1.Wikipedia Orange (Fruit) 2020. [(accessed on 1 September 2020)]. Available online: https://en.wikipedia.org/wiki/Orange(fruit)
  • 2.Lohrasbi M., Pourbafrani M., Niklasson C., Taherzadeh M.J. Process design and economic analysis of a citrus waste biorefinery with biofuels and limonene as products. Bioresour. Technol. 2010;101:7382–7388. doi: 10.1016/j.biortech.2010.04.078. [DOI] [PubMed] [Google Scholar]
  • 3.Marin F.R., Soler-Rivas C., Benavente-Garcia O., Castillo J., Perez-Alvarez J.A. Byproducts from different citrus processes as a source of customized functional fibers. Food Chem. 2007;100:736–741. doi: 10.1016/j.foodchem.2005.04.040. [DOI] [Google Scholar]
  • 4.Mahato N., Sharma K., Koteswararao R., Sinha M., Baral E., Cho M.H. Citrus essential oils: Extraction, authentication and application in food preservation. Crit. Rev. Food Sci. Nutr. 2019;59:611–625. doi: 10.1080/10408398.2017.1384716. [DOI] [PubMed] [Google Scholar]
  • 5.Sharma K., Mahato N., Cho M.H., Lee Y.R. Converting citrus wastes into value-added products: Economic and environmently friendly approaches. Nutrition. 2017;34:29–46. doi: 10.1016/j.nut.2016.09.006. [DOI] [PubMed] [Google Scholar]
  • 6.Putnik P., Kovacevic D.B., Jambrak A.R., Barba F.J., Cravotto G., Binello A., Lorenzo J.M., Shpigelman A. Innovative “green” and novel strategies for the extraction of bioactive added value compounds from citrus wastes—A review. Molecules. 2017;22:680. doi: 10.3390/molecules22050680. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Martinez-Hernandez E., Molina M.M., Flores L.A.M., Ruiz M.E.P., EguiaLis J.A.Z., Molina A.R., Amezcua-Allieri M.A. Energy-water nexus strategies for the energetic valorization of orange peels based on techno-economic and environmental impact assessment. Food Bioprod. Process. 2019;117:380–387. [Google Scholar]
  • 8.Gotmare S., Gade J. Orange Peel: A Potential Source of Phytochemical Compounds. Int. J. ChemTech Res. 2018;11:240–243. [Google Scholar]
  • 9.Tripoli E., La Guardia M., Giammanco S., Di Majo D., Giammanco M. Citrus flavonoids: Molecular structure, biological activity and nutritional properties: A review. Food Chem. 2007;104:466–479. doi: 10.1016/j.foodchem.2006.11.054. [DOI] [Google Scholar]
  • 10.Wang Y.-C., Chuang Y.-C., Hsu H.-W. The flavonoid, carotenoid and pectin content in peels of citrus cultivated in Taiwan. Food Chem. 2008;106:277–284. doi: 10.1016/j.foodchem.2007.05.086. [DOI] [Google Scholar]
  • 11.Luengo E., Álvarez I., Raso J. Improving the pressing extraction of polyphenols of orange peel by pulsed electric fields. Innov. Food Sci. Emerg. Technol. 2013;17:79–84. doi: 10.1016/j.ifset.2012.10.005. [DOI] [Google Scholar]
  • 12.Ma Y.-Q., Chen J.-C., Liu D.-H., Ye X.-Q. Simultaneous extraction of phenolic compounds of citrus peel extracts: Effect of ultrasound. Ultrason. Sonochem. 2009;16:57–62. doi: 10.1016/j.ultsonch.2008.04.012. [DOI] [PubMed] [Google Scholar]
  • 13.Khan M.K., Abert-Vian M., Fabiano-Tixier A.-S., Dangles O., Chemat F. Ultrasound-assisted extraction of polyphenols (flavanone glycosides) from orange (Citrus sinensis L.) peel. Food Chem. 2010;119:851–858. doi: 10.1016/j.foodchem.2009.08.046. [DOI] [Google Scholar]
  • 14.Garcia-Castello E.M., Rodriguez-Lopez A.D., Mayor L., Ballesteros R., Conidi C., Cassano A. Optimization of conventional and ultrasound assisted extraction of flavonoids from grapefruit (Citrus paradisi L.) solid wastes. LWT Food Sci. Technol. 2015;64:1114–1122. doi: 10.1016/j.lwt.2015.07.024. [DOI] [Google Scholar]
  • 15.Londono-Londono J., Lima V.R., Lara O., Gil A., Pasa T.B.C., Arango G.J., Pineda J.R.R. Clean recovery of antioxidant flavonoids from citrus peel: Optimizing an aqueous ultrasound-assisted extraction method. Food Chem. 2010;119:81–87. doi: 10.1016/j.foodchem.2009.05.075. [DOI] [Google Scholar]
  • 16.Dahmoune F., Boulekbache L., Moussi K., Aoun O., Spigno G., Madani K. Valorization of Citrus limon residues for the recovery of antioxidants: Evaluation and optimization of microwave and ultrasound application to solvent extraction. Ind. Crops Prod. 2013;50:77–87. doi: 10.1016/j.indcrop.2013.07.013. [DOI] [Google Scholar]
  • 17.Mhiri N., Ioannou I., Paris C., Ghoul M., Boudhrioua M.N. Comparison of the efficiency of different extraction methods on antioxidants of maltease orange peel. Int. J. Food Nutr. Sci. 2016;3:1–13. [Google Scholar]
  • 18.Min K.Y., Lee K.A., Kim H.J., Kim K.-T., Chung M.-S., Chang P.-S., Park H., Paik H.-D. Antioxidative and anti-inflammatory activities of Citrus unshiu peel extracts using a combined process of subcritical water extraction and acid hydrolysis. Food Sci. Biotechnol. 2014;23:1441–1446. doi: 10.1007/s10068-014-0197-y. [DOI] [Google Scholar]
  • 19.Kim J.-W., Nagaoka T., Ishida Y., Hasegawa T., Kitagawa K., Lee S.-C. Subcritical water extraction of nutraceutical compounds from citrus pomaces. Sep. Sci. Technol. 2009;44:2598–2608. doi: 10.1080/01496390903014375. [DOI] [Google Scholar]
  • 20.Casquete R., Castro S., de Carmen Villalobos Rivera M., Teixeira P., Serradilla M.J., Queirós R.P., Saraiva J.M.A., Córdoba M.G. High pressure extraction of phenolic compounds from citrus peels. High Press. Res. 2014;34:447–451. doi: 10.1080/08957959.2014.986474. [DOI] [Google Scholar]
  • 21.Casquete R., Castro S.M., Martín A., Ruiz-Moyano S., Saraiva J.A., Córdoba M.G., Teixeira P. Evaluation of the effect of high pressure on total phenolic content, antioxidant and antimicrobial activity of citrus peels. Innov. Food Sci. Emerg. Technol. 2015;31:37–44. doi: 10.1016/j.ifset.2015.07.005. [DOI] [Google Scholar]
  • 22.Ariel F., Nakajima V., Macedo G.A., Martinez J. Extraction of phenolic compounds from dry and fermented orange pomace using supercritical CO2 and co-solvents. Food Bioprod. Process. 2016;101:1–10. [Google Scholar]
  • 23.Ergüt M., Döker O. Recovery of Bioactive Phenolic Compounds from Lemon (Citrus limon (L.) Burm. f.) and Orange (Citrus Sinensis L. Osbeck) Pomaces. Chem. Process Eng. Res. 2017;51:18–33. [Google Scholar]
  • 24.Ozturka B., Parkinson C., Miquel M.G. Extraction of polyphenolic antioxidants from orange peel waste using deep eutectic solvents. Sep. Sci. Technol. 2018;206:1–13. doi: 10.1016/j.seppur.2018.05.052. [DOI] [Google Scholar]
  • 25.Bajkacz S., Adamek J. Development of a Method Based on Natural Deep Eutectic Solvents for Extraction of Flavonoids from Food Samples. Food Anal. Meth. 2018;11:1330–1344. doi: 10.1007/s12161-017-1118-5. [DOI] [Google Scholar]
  • 26.Anticona M., Blesa J., Frigola A., Esteve M.J. High Biological Value Compounds Extraction from Citrus Waste with Non-Conventional Methods. Foods. 2020;9:811. doi: 10.3390/foods9060811. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Nayak B., Dahmoune F., Moussi K., Remini H., Dairi S., Aoun O., Khodir M. Comparison of microwave, ultrasound and accelerated-assisted solvent extraction for recovery of polyphenols from Citrus sinensis peels. Food Chem. 2015;187:507–516. doi: 10.1016/j.foodchem.2015.04.081. [DOI] [PubMed] [Google Scholar]
  • 28.Nguyen N.H.K., Duong H.N., Long H., Nhi T.T.Y., Phat D.T. Effects of microwave extraction conditions on polyphenol content and antioxidant activity of pomelo extract (Citrus maxima (Burm.)Merr.) IOP Conf. Ser. Mater. Sci. Eng. 2020;991:012035. doi: 10.1088/1757-899X/991/1/012035. [DOI] [Google Scholar]
  • 29.Hayat K., Hussainb S., Abbasa S., Farooqa U., Dinga B., Xiaa S., Jia C., Zhanga X., Xiaa W. Optimized microwave-assisted extraction of phenolic acids from citrus mandarin peels and evaluation of antioxidant activity in vitro. Sep. Purif. Technol. 2009;70:63–70. doi: 10.1016/j.seppur.2009.08.012. [DOI] [Google Scholar]
  • 30.Boukroufa M., Boutekedjiret C., Petigny L., Rakotomanomana N., Chemat F. Bio-refinery of orange peelswaste: A new concept based on integrated green and solvent free extraction processes using ultrasound and microwave techniques to obtain essential oil, polyphenols and pectin. Ultrason. Sonochem. 2015;24:72–79. doi: 10.1016/j.ultsonch.2014.11.015. [DOI] [PubMed] [Google Scholar]
  • 31.Özbek H.N., Yanık D.K., Fadıloğlu S., Göğüş F. Optimization of microwave-assisted extraction of bioactive compounds from pistachio (Pistacia vera L.) hull. Sep. Sci. Technol. 2020;55:289–299. [Google Scholar]
  • 32.Mendes M., Carvalho A.P., Magalhães J., Moreira M., Guido L., Gomes A.M., Delerue-Matos C. Response surface evaluation of microwave-assisted extraction conditions for Lycium barbarum bioactive compounds. Innov. Food Sci. Emerg. Technol. 2016;33:319–326. doi: 10.1016/j.ifset.2015.12.025. [DOI] [Google Scholar]
  • 33.Das S., Mandal S.C. Effect of process parameters of microwave assisted extraction (mae) on natural product yield from onion peel. Int. J. Pharm. Sci. Res. 2015;6:3260–3275. [Google Scholar]
  • 34.Anagnostopoulou M.A., Kefalas P., Papageorgiou V.P., Assimopoulou A.N., Boskou D. Radical scavenging activity of various extracts and fractions of sweet orange peel (Citrus sinensis) Food Chem. 2006;94:19–25. doi: 10.1016/j.foodchem.2004.09.047. [DOI] [Google Scholar]
  • 35.Escobedo-Avellaneda Z., Gutiérrez-Uribe J., Valdez-Fragoso A., Torres J.A., Welti-Chanes J. Phytochemicals and antioxidant activity of juice, flavedo, albedo and comminuted orange. J. Funct. Foods. 2014;6:470–481. [Google Scholar]
  • 36.Barbosa P.P.M., Ruviaro A.R., Macedo G.A. Comparison of different Brazilian citrus byproducts as source of natural antioxidants. Food Sci. Biotechnol. 2018;27:1301–1309. doi: 10.1007/s10068-018-0383-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Akhtar I., Javad S., Yousaf Z., Iqbal S., Jabeenm K. Microwave assisted extraction of phytochemicals an efficient and modern approach for botanicals and pharmaceuticals. Innov. Food Sci. Emerg. Technol. 2016;33:319–326. [PubMed] [Google Scholar]
  • 38.Veggi P.C., Martinez J., Maireles M., Meireles M.A.A. Fundamentals of Microwave Extraction. Springer; New York, NY, USA: 2012. Microwave-assisted extraction for bioactive compounds theory and practice. [Google Scholar]
  • 39.Hartati I., Kurniasaria L., Anasb Y. Mathematical Model of the Hydrotropic Microwave Assisted Extraction of Anti Malarial Agent from Andrographis Paniculata. Procedia Chem. 2015;14:186–192. [Google Scholar]
  • 40.Zghaibi N., Omar R., Kamal S.M.M., Biak D.R.A., Harun R. Kinetics Study of Microwave-Assisted Brine Extraction of Lipid from the Microalgae Nannochloropsis sp. Molecules. 2020;25:784. doi: 10.3390/molecules25040784. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41.Susanti D.Y., Sediawan W.B., Fahrurrozi M., Hidayat M. A Mechanistic Model of Mass Transfer in the Extraction of Bioactive Compounds from Intact Sorghum Pericarp. Processes. 2019;7:837. doi: 10.3390/pr7110837. [DOI] [Google Scholar]
  • 42.Koturevic B., Adnadjevic B., Jovanovic J. Isothermal green microwave-assisted extraction of caffeine from guarana: A kinetic study. Green Process Synth. 2017;6:555–563. [Google Scholar]
  • 43.Zhang Y., Li H., Dou H., He Z., Wu H., Sun Z., Wang H., Huang X., Ma Y. Optimization of Nobiletin Extraction Assisted by Microwave from Orange Byproduct Using Response Surface Methodology. Food Sci. Biotechnol. 2013;22:153–159. doi: 10.1007/s10068-013-0061-5. [DOI] [Google Scholar]
  • 44.Xu B., Tao R., Huang Z., Zhu D., Liu J. Process Optimization of Microwave-Assisted Extraction of Flavonoids from Salvia Plebeian Using Response Surface Methodology. J. Phys. Conf. Ser. 2020;1578:012222. doi: 10.1088/1742-6596/1578/1/012222. [DOI] [Google Scholar]
  • 45.Weremfo A., Adulley F., Adarkwah-Yiadom M. Simultaneous Optimization of Microwave-Assisted Extraction of Phenolic Compounds and Antioxidant Activity of Avocado (Persea americana Mill.) Seeds Using Response Surface Methodology. Hindawi J. Anal. Methods Chem. 2020:7541927. doi: 10.1155/2020/7541927. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 46.Ganesan V., Gurumani V., Kunjiappan S., Panneerselvam T., Somasundaram B., Kannan S., Chowdhury A., Saravanan G., Bhattacharjee C. Optimization and analysis of microwave-assisted extraction of bioactive compounds from Mimosa pudica L. using RSM & ANFIS modeling. J. Food Meas. Charact. 2018;12:228–242. [Google Scholar]
  • 47.Baskararaj S., Theivendren P., Palanisamy P., Kannan S., Pavadai P., Arunachalam S., Sankaranarayanan M., Mohan U.P., Ramasamy L., Kunjiappan S. Optimization of bioactive compounds extraction assisted by microwave parameters from Kappaphycus alvarezii using RSM and ANFIS modeling. J. Food Meas. Charact. 2019;13:2773–2789. doi: 10.1007/s11694-019-00198-1. [DOI] [Google Scholar]
  • 48.Singleton V.L., Orthofer R., Lamuela-Raventós R.M. Analysis of total phenols and other oxidation substrates and antioxidants by means of folin-ciocalteu reagent. Methods Enzymol. 1999;299:152–178. [Google Scholar]
  • 49.Waterhouse A.L. Determination of total phenolics. In: Wrolstad R.E., editor. Current Protocols in Food Analytical Chemistry. John Wiley & Sons; New York, NY, USA: 2001. pp. I1.1.1–I1.1.8. [Google Scholar]
  • 50.Chandra S., Khan S., Avula V., Lata H., Yang M.H., ElSohly M.A., Khan I.A. Assessment of Total Phenolic and Flavonoid Content, Antioxidant Properties, and Yield of Aeroponically and Conventionally Grown Leafy Vegetables and Fruit Crops: A Comparative Study. Evid. Based Complementary Altern. Med. 2014;2014:253875. doi: 10.1155/2014/253875. [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Data Availability Statement

The data presented in this study are available on request from the corresponding author.


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