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International Journal of Molecular Sciences logoLink to International Journal of Molecular Sciences
. 2016 May 11;17(5):699. doi: 10.3390/ijms17050699

Exploratory Characterization of Phenolic Compounds with Demonstrated Anti-Diabetic Activity in Guava Leaves at Different Oxidation States

Elixabet Díaz-de-Cerio 1,2, Vito Verardo 3,*, Ana María Gómez-Caravaca 1,2, Alberto Fernández-Gutiérrez 1,2, Antonio Segura-Carretero 1,2,*
Editor: Manickam Sugumaran
PMCID: PMC4881523  PMID: 27187352

Abstract

Psidium guajava L. is widely used like food and in folk medicine all around the world. Many studies have demonstrated that guava leaves have anti-hyperglycemic and anti-hyperlipidemic activities, among others, and that these activities belong mainly to phenolic compounds, although it is known that phenolic composition in guava tree varies throughout seasonal changes. Andalusia is one of the regions in Europe where guava is grown, thus, the aim of this work was to study the phenolic compounds present in Andalusian guava leaves at different oxidation states (low, medium, and high). The phenolic compounds in guava leaves were determined by HPLC-DAD-ESI-QTOF-MS. The results obtained by chromatographic analysis reported that guava leaves with low degree of oxidation had a higher content of flavonols, gallic, and ellagic derivatives compared to the other two guava leaf samples. Contrary, high oxidation state guava leaves reported the highest content of cyanidin-glucoside that was 2.6 and 15 times higher than guava leaves with medium and low oxidation state, respectively. The QTOF platform permitted the determination of several phenolic compounds with anti-diabetic properties and provided new information about guava leaf phenolic composition that could be useful for nutraceutical production.

Keywords: Psidium guajava L., HPLC-DAD-ESI-QTOF-MS, phenolic compounds, gallic and ellagic derivatives, flavonols, cyanidin-glucoside

1. Introduction

Psidium guajava (P. guajava) L., from the Myrtaceae family, is common throughout tropical and subtropical areas [1] and Andalusia is one of the regions in Europe where guava is grown. Moreover, it is widely used like food and in folk medicine all around the world. Many studies have demonstrated that guava leaves have anti-hyperglycemic and anti-hyperlipidemic activities [2,3,4], among others, and these biological activities have mainly been related to the phenolic compounds [5].

Nowadays, alternative therapeutic strategies based on the use of phenolic compounds in food products as “functional foods” and “nutraceuticals” are being developed. In fact, the capacity of plant-derived foods to reduce the risk of chronic diseases has been demonstrated [6].

It is known that P. guajava L. shows different phenological stages throughout its vegetative period in response to environmental conditions [7], because of that, it has been seen that the accumulation of specific compounds such as anthocyanins changes [8]. Furthermore, the response of the different classes of phenolic compounds, especially flavonoids, also vary substantially [9]. This fact plays an important role in finding the best conditions of the leaf in order to obtain the best recovery of the target compounds for the development of a promising alternative source for ameliorating diabetes complications [2,3,4].

In this sense, spectrophotometric analyses are still helpful for a preliminary identification and quantification [10]; however, LC-MS has opened up new approaches for the structural characterization of target compounds. Moreover, LC-TOF-MS can provide tentative identification of unknown peaks, due to accurate-mass measurement [11]. So, both UV-VIS diode array and mass spectrometry coupled to HPLC have been proved as most appropriate analytical techniques for phenolic compounds in many matrices [10,11]. Concerning guava leaves, most of the literature shows that quantification of the different classes of phenolic compounds is generally done via spectrophotometric analysis [12,13,14,15], although different analytical techniques, such as LC-DAD and LC-DAD-MS, are used to characterize the bioactive compounds present in guava leaves [3,4,16,17].

Despite these facts and to our knowledge, there is no literature taking into account the change that climatic conditions cause in phenolic composition and this information would be useful to choose the best raw material for nutraceutical scopes. Thus, the aim of this work was to study the phenolic compounds present in Andalusian guava leaves at different oxidation states (low, medium, and high) by HPLC-DAD-ESI-QTOF-MS.

2. Results and Discussion

2.1. Characterization of Phenolic Compounds

The HPLC-DAD-ESI-QTOF-MS analyses in negative mode permitted the identification and quantification of seventy-three phenolic compounds in guava leaves [18]. The individual compounds were quantified on the basis of their peak area and compared with calibration curves obtained with the corresponding standards and then expressed as μg/g of leaf dry weight (d.w.). Moreover, quantification of compounds for which no commercial standards were available, was achieved comparing with standard compounds bearing similar structures (Table 1).

Table 1.

Quantification (mean ± standard deviation (SD), n = 3) by HPLC-DAD-ESI-QTOF-MS in negative and positive mode of individual compound tentatively identified in P. guajava leaves for the different oxidative states.

No. Compound High Medium Low
Negative mode Concentration (μg compound/g leaf d.w.)
1 HHDP glucose Isomer 526 ± 2 c 651 ± 19 b 936 ± 10 a
2 HHDP glucose Isomer 505 ± 3 c 645 ± 3 b 823 ± 16 a
3 HHDP glucose Isomer 510 ± 11 c 645 ± 20 b 934 ± 2 a
4 Prodelphinidin B Isomer 447.1 ± 0.1 c 515.7 ± 0.4 b 715 ± 13 a
5 Gallic acid 153.52 ± 0.09 c 164 ± 3 b 175.9 ± 0.7 a
6 Pedunculagin/Casuariin Isomer 158.8 ± 0.6 b 163.84 ± 0.06 b 175 ± 3 a
7 Pedunculagin/Casuariin Isomer 464.0 ± 0.8 c 475.5 ± 0.5 b 557 ± 2 a
8 Prodelphinidin Dimer Isomer 497 ± 1 b 529 ± 6 b 603 ± 30 a
9 Gallocatechin 4913 ± 47 a 4435 ± 7 b 4098 ± 84 c
10 Vescalagin/castalagin Isomer 157.59 ± 0.01 a 136.6 ± 0.3 c 143 ± 2 b
11 Prodelphinidin Dimer Isomer 1365 ± 7 c 1560 ± 14 b 1739 ± 25 a
12 Uralenneoside 2464 ± 4 a 1911 ± 24 b 1872 ± 81 b
13 Geraniin Isomer 241 ± 1 b 264.9 ± 0.5 b 343 ± 25 a
14 Pedunculagin/Casuariin Isomer 466 ± 3 c 575 ± 16 b 683 ± 20 a
15 Geraniin Isomer 260 ± 3 b 290 ± 7 a,b 356 ± 48 a
16 Procyanidin B Isomer 4262 ± 12 c 4742 ± 15 b 5514 ± 69 a
17 Galloyl(epi)catechin-(epi)gallocatechin <LOQ 12.60 ± 0.07 b 38 ± 3 a
18 Procyanidin B Isomer 650 ± 3 c 708 ± 11 b 757 ± 23 a
19 Tellimagrandin I Isomer 347 ± 4 c 367.2 ± 0.7 b 397 ± 2 a
20 Pterocarinin A Isomer 569 ± 31 b 617 ± 9 b 679 ± 7 a
21 Pterocarinin A Isomer 316 ± 2 c 360 ± 4 b 376 ± 4 a
22 Stenophyllanin A 853 ± 13 c 1036 ± 50 b 1318 ± 24 a
23 Procyanidin trimer Isomer 781 ± 1 a 706 ± 1 c 738 ± 4 b
24 Catechin 8486 ± 10 b 8957 ± 11 a 6845 ± 24 c
25 Procyanidin tetramer <LOQ <LOQ <LOQ
26 Procyanidin trimer Isomer 89 ± 2 c 108 ± 3 b 128 ± 1 a
27 Guavin A 263 ± 9 c 357 ± 8 b 518 ± 15 a
28 Casuarinin/Casuarictin Isomer 1297 ± 5 c 1568 ± 10 b 2089 ± 11 a
29 Galloyl(epi)catechin-(epi)gallocatechin 61 ± 5 c 135 ± 1 b 211 ± 12 a
30 Procyanidin pentamer <LOQ <LOQ <LOQ
31 Galloyl-(epi)catechin trimer Isomer <LOQ <LOQ <LOQ
32 Gallocatechin 2074 ± 2 b 1526 ± 2 c 2613 ± 55 a
33 Tellimagrandin I Isomer 463 ± 2 c 516 ± 6 b 737 ± 24 a
34 Vescalagin 160 ± 6 b 159 ± 3 b 187 ± 1 a
35 Stenophyllanin A Isomer 355.36 ± 0.07 c 425 ± 13 b 548 ± 20 a
36 Galloyl-(epi)catechin trimer Isomer <LOQ <LOQ <LOQ
37 Myricetin hexoside Isomer 432.10 ± 0.05 c 555 ± 2 b 572 ± 7 a
38 Stachyuranin A 207.40 ± 0.04 a 207 ± 6 a 216 ± 1 a
39 Procyanidin gallate Isomer 533.2 ± 0.07 c 799 ± 3 b 1036 ± 32 a
40 Myricetin hexoside Isomer 213 ± 2 c 288 ± 2 b 307.8 ± 0.8 a
41 Vescalagin/castalagin Isomer 152 ± 3 b 155 ± 2 b 191 ± 3 a
42 Myricetin arabinoside/xylopyranoside Isomer 241 ± 5 c 286 ± 2 b 306 ± 5 a
43 Myricetin arabinoside/xylopyranoside Isomer 608 ± 1 c 839 ± 8 b 946 ± 11 a
44 Procyanidin gallate Isomer 11 ± 1 a 3.7 ± 0.2 b <LOQ
45 Myricetin arabinoside/xylopyranoside Isomer 688 ± 16 c 816.0 ± 0.5 b 874 ± 9 a
46 Myricetin hexoside Isomer 1186 ± 13 a 1010 ± 3 b 1012 ± 65 b
47 Myricetin hexoside Isomer 200 ± 3 b 208 ± 5 b 224 ± 6 a
48 Myricetin arabinoside/xylopyranoside Isomer 276.0 ± 0.9 a,b 266 ± 3 b 282 ± 8 a
49 Quercetin galloylhexoside Isomer 375.0 ± 0.6 b 380 ± 5 b 438 ± 18 a
50 Ellagic acid deoxyhexoside 700 ± 1 a 702 ± 12 a 733 ± 32 a
51 Quercetin galloylhexoside Isomer 180 ± 2 b 194 ± 7 a 205 ± 1 a
52 Myricetin arabinoside/xylopyranoside Isomer 544.3 ± 0.4 b 525 ± 2 b 588 ± 18 a
53 Morin 2619 ± 4 c 3206 ± 11 b 4474 ± 98 a
54 Myricetin arabinoside/xylopyranoside Isomer 611 ± 4 a 581 ± 6 b 559 ± 3 c
55 Ellagic acid 1229 ± 26 c 1345 ± 34 b 1759.6 ± 0.9 a
56 Hyperin 11305 ± 27 c 11906 ± 57 b 12528 ± 83 a
57 Quercetin glucuronide <LOQ <LOQ <LOQ
58 Isoquercitrin 2254 ± 10 b 2471 ± 16 b 3410 ± 38 a
59 Procyanidin gallate Isomer <LOQ 7.3 ± 0.3 b 73.3 ± 0.2 a
60 Reynoutrin 2641 ± 11 b 2762 ± 2 b 3210 ± 104 a
61 Guajaverin 8864 ± 8 b 9668 ± 64 b 11813 ± 64 a
62 Guavinoside A 783 ± 5 a,b 770 ± 4 b 793 ± 4 a
63 Avicularin 10353 ± 18 a,b 10173 ± 54 b 11441 ± 63 a
64 Quercitrin 213 ± 2 b 208 ± 2 b 223 ± 1 a
65 Myrciaphenone B 546 ± 6 c 621 ± 1 b 715 ± 20 a
66 Guavinoside C 2069 ± 1 b 1966 ± 21 c 2209 ± 21 a
67 Guavinoside B 872 ± 17 c 1035 ± 23 b 1273 ± 30 a
68 Guavinoside A Isomer 137 ± 1 a 135.1 ± 0.6 a 137 ± 3 a
69 Guavinoside B Isomer 120 ± 2 b 119,6 ± 0.2 b 129 ± 1 a
70 2,6-dihydroxy-3-methyl-4-O-(6″-O-galloyl-β-d-glucopyranosyl)-benzophenone 1179 ± 12 b 1242 ± 33 b 1365 ± 20 a
71 Guavin B 220.51 ± 0.03 b 230.1 ± 0.7 a,b 241 ± 7 a
72 Quercetin 258 ± 4 a 253 ± 3 a 255 ± 5 a
73 Naringenin 487 ± 3 c 638 ± 24 b 705 ± 6 a
Positive mode Concentration (μg compound/g leaf d.w.)
74 Cyanidin-3-O-glucoside 441.28 ± 0.04 a 169.3 ± 0.5 b 29.5 ± 0.2 c

LOQ: limits of quantification; means in the same line with different letter (a,b,c) are significantly different (p < 0.05).

Furthermore, the analysis in positive mode allowed the identification of an anthocyanin compound. The compound, with m/z 449.1090 presented its maximum of absorption at 280, 350, and 520 nm on the UV spectrum. The MS/MS analysis produced a fragment ion at 287 m/z corresponding to the loss of hexose unit (Figure 1). Due to the UV and MS spectrum and by co-elution with a commercial standard, this component has been identified as cyanidin-3-O-glucoside. To our knowledge, this compound has been identified for the first time in guava leaves. Limits of detection (LOD) and quantification (LOQ) calculated for the cyanidin-3-O-β-galactopyranoside standard were 0.007 and 0.024 mg/L.

Figure 1.

Figure 1

Fragmentation pattern of cyanidin-3-O-glucoside. MS/MS spectra has been obtained by auto MS/MS fragmentation.

In terms of concentration of the individual compounds (Table 1), in negative mode, leaves with lower oxidation state exhibited the highest amounts for almost all compounds quantified, followed by moderate oxidized leaves and, finally, highly oxidized leaves. Concentrations of several compounds tentatively identified [18], such as procyanidin tetramer and pentamer, galloyl-(epi)catechin trimer isomers 1 and 2, and quercetin glucuronide were found to be lower than the quantification limit for all samples. In contrast, and as it was expected due to the red coloration of the leaves at high oxidative state, in positive mode, opposite results were found (Table 1); the concentration of cyanidin-3-O-glucoside increased as the oxidation state of the leaves increased. At low oxidative state, the concentration of cyanidin-3-O-glucoside was 29.5 ± 0.2 μg/g leaf d.w. and it raised until 441.28 ± 0.04 μg/g leaf d.w. for the highest oxidation state.

Several works reported the quantification of some compounds such as ellagic acid, quercetin, gallic acid, catechin, and gallocatechin by HPLC-DAD in guava leaves [3,9,12,19]. Comparing the results, compounds in dried leaves are found in lower quantities than in the extract [3,12], although values in the same order of magnitude are noticed for quercetin [9] and greater amounts of catechin and gallocatechin are found comparing values with those obtained for dried leaves from Korea [19]. Furthermore, Zhu and coworkers [20] also isolated the major compounds in Chinese guava leaves: hyperoside, isoquercitrin, reynoutrin, guajaverin, avicularin, and also 2,4,6-trihydroxy-3,5-dimethylbenzophenone 4-O-(6″-O-galloyl)-β-d-glucopyranoside. Concentrations of reynoutrin, guajaverin, and avicularin isomers followed the same order as in the present leaves (reynoutrin < guajaverin < avicularin) and the opposite order was observed for the other isomers (isoquercitrin < hyperin). The compound 2,4,6-trihydroxy-3,5-dimethylbenzophenone 4-O-(6″-O-galloyl)-β-d-glucopyranoside was not detected in the present samples, in contrast, 2,6-dihydroxy-3-methyl-4-O-(6″-O-galloyl-β-d-glucopyranosyl)-benzophenone could be found. Differences noticed between these works could be because phenolic composition vary substantially among genotypes, seasons changes, ages, and damaged leaves, and location sites [7]. Regarding the different families present in leaves, extracts reported significant differences (p < 0.05), the lowest content of the different classes of phenolic compounds were found in leaves at the highest oxidation state, whereas the highest content was found in leaves at the lowest oxidation state (Figure 2). The major class of phenolic compounds in guava leaves samples was flavonols that ranged between 48.1 and 50.6 mg/g leaf d.w. The second class of polar compounds was represented by flavan-3-ols (24.2–24.7 mg/g leaf d.w.), followed by gallic and ellagic acid derivatives (14.8–15.8 mg/g leaf d.w.) and finally, by flavanones, that varied from 0.49 to 0.63 mg/g leaf d.w. Indeed, the contribution of reynoutrin, guajaverin, and avicularin isomers to total phenolic content (TPC) was predominant in this work, corresponding, on average, to 25% and 26% of the TPC, followed by hyperin and isoquercitrin, which supposed about 15%. Furthermore, myricetin derivatives contributed on 5% to TPC, morin and quercetin account between 3% and 5% of TPC from the different samples. Moreover, catechin was ranged between 7% and 10%, gallocatechin isomers varied between 7% and 8% of the total amount, and procyanidin B isomers represented a 6%.

Figure 2.

Figure 2

Quantification of different families of phenolic compounds present in guava leaves at different oxidative states. The different letter (a,b,c) in the same phenolic class means a significant difference (p ≤ 0.05).

The variance in concentration of the individual compounds (Table 1), and the differences between the families (Figure 2) is probably resulting from the different synthesis of secondary metabolites as response to the oxidative state of the leaves [9] and it could be explained by the formation of the compounds in the flavonoid pathway [21,22]. Most of the compounds present in guava leaves derivate from dihydroquercetin, precursor of both anthocyanins and flavonols. In fact, it has been noticed that leaves with low oxidation state presented greater amounts of flavonols, such as quercetin and myricetin derivatives, whereas the contents of the flavan-3ols catechin and gallocatechin, and the content of cyanidin-3-O-glucoside were lower. In contrast, the highest oxidative state showed lower amounts of quercetin and myricetin derivatives than low oxidation state, and higher concentration of catechin, gallocatechin, and cyanidin-3-O-glucoside than low oxidized leaves (Table 1). Chang et al. [16] also found for guava budding leaf tea that the presence of quercetin and its glycosides was larger than catechins and myricetin derivatives. Moreover, the increasing concentration of cyanidin-3-O-glucoside explained the dramatic red coloration of the leaves at higher oxidative states [21,22,23].

P. guajava leaves have traditionally been used in many countries to manage, control, and treat the diabetes [24], and its potential against diabetes mellitus type 2 has also been demonstrated in several works by the different parts of the plant, such as fruit, peel, pulp, seeds, and stem bark [25,26,27,28]. Singh et al. [29] reported that flavonoids are one of the major chemical constituents of plant species used in the management of diabetic complications. In fact, the anti-diabetic activity has mainly been attributed to a synergistic effect of the phenolic compounds present in the leaves [30]. This effect has been observed in half ripen guava fruit for in vitro and in vivo assays [25]. Authors reported that the effect is due to the total phenolic and flavonoid content in the fruit that was 40.13 ± 2.12 and 18.43 ± 1.22 mg/g of dry weight sample, respectively. Moreover, the recovery of total phenolic compounds in the peel was 58.7 ± 4.0 g gallic acid equivalent (GAE)/kg dry matter [31]. Ribeiro da Silva and coworkers [32] reported that the phenolic contents in the pulp was 1723.06 ± 111.58 mg GAE/100 g dry basis; in the seeds varied between 14.54 and 91.05 mg total phenols (TP)/100 g of defatted ground seeds in several solvents [33]; and the TPC of the stem bark, determined by Folin–Ciocalteu, was 1.15 ± 0.12 g GAE/100 g dry weight [34]. These values are lower than the ones summarized in the present work, so it could be supposed that guava leaves could be better anti-diabetic agents than the other parts of the plant.

Comparing the phenolic content of guava leaves to other plant leaves, different evidence has been found. The ethanol extract from Telfairia occidentalis leaves has also exhibited anti-hyperglycemic activity and has demonstrated strong inhibition of α-glucosidase and mild inhibition of α-amylase [35]. Authors related its activity to the phenolic and flavonoid content; however, its content was less than three order of magnitude than that reported in the present work. Additionally, other plants such as Teucrium polium, cinnamon and garlic, have generally presented lower phenolic contents than guava leaves [36,37,38] are also widely used in folk medicine for the treatment of diabetes [25]. In fact, different extracts from Teucrium polium (leaves, flowers, and stems) reported a TPC between 14.6 to 157.8 mg of GAE/g of extract [36], different parts of Cinnamomum cassia (barks, buds, and leaves) exhibited values for TPC from 6.3 to 9.5 g/100 g d.w. [37], and 3.4–10.8 mg GAE/g d.w. was the range of TPC found for different cultivars of garlic [38]. Additionally, several individual compounds isolated from different sources that have also been found in guava leaves have demonstrated anti-diabetic properties (Table 2). The principal activities related to these compounds are the inhibition of carbohydrate-hydrolysing enzymes due to the presence of myrciaphenone B [39], casuarictin and tellimagrandin I [40], flavonol glycosides (hyperin, isoquercitrin, reynoutrin, guajaverin, avicularin) [30,41], geraniin and catechin [42], quercetin [30], and cyanidin-3-O-β-glucoside [43]. Insulinomimetic activity has been attached to casuarinin, casuariin [40], procyanidin oligomers [44], and pedunculagin [45]. Moreover, geraniin, vescalagin, gallic acid, naringenin, morin, quercetin, catechin, epicatechin, and procyanidin B2 [42] exhibited anti-glycation activity, due to the inhibition of the formation of Amadori products and advanced glycation end-products (AGEs). At last, the improvement of postprandial hyperglycemia has been related to catechin and gallocatechin, among others [46].

Table 2.

Guava leaves’ bioactive compounds related with anti-diabetic properties.

Compound Assay Activity Ref.
Myrciaphenone B in vivo Inhibition of aldose reductase α-glucosidase [39]
Casuarictin, tellimagrandin I in vitro Inhibition of α-glucosidase [40]
Cyanidin-3-O-β-glucoside in vitro/in silico Inhibition of α-amylase [43]
Flavonol glycosides in vitro Inhibition of dipeptidyl-peptidase IV, and α-glucosidase and α-amylase [30,41]
Geraniin in vitro Hypoglycemic activity; inhibition of carbohydrate-hydrolysing enzymes (α-glucosidase and α-amylase); effective in preventing advanced glycation end-products (AGEs) formation [42]
Vescalagin in vivo Retard AGEs formation [42]
Gallic acid in vitro Inhibitory effect on the formation of α-dicarbonyl compounds and protein glycation: inhibitory effects on the production of Amadori products and AGEs [3,42]
Naringenin in vitro Anti-glycation activity [42]
Morin in vitro Protective activity against glycation [42]
Quercetin in vitro Inhibitory effect on protein glycation, on the formation of α-dicarbonyl compounds, and on the production of Amadori products and AGEs [3,30,42]
Catechin in vitro/in vivo/clinical trial Inhibitory effect on the formation of α-dicarbonyl compounds and protein glycation: inhibitory effects on the production of Amadori products and AGEs; improvement of postprandial hyperglycaemia [42,46]
Procyanidin B2 in vitro/in vivo Inhibitory effects on the formation of AGEs [42]
Casuarinin, casuariin in vitro Inhibition of insulin-like glucose uptake [40]
Procyanidin oligomers in vitro/in vivo Insulinomimetic properties [44]
Pedunculagin in vivo Improvement sensitivity of insulin [45]
Gallocatechin clinical trial Improvement of postprandial hyperglycaemia [46]

2.2. Antioxidant Capacity and Total Phenolic Content

The evaluation of the antioxidant capacity is usually done comparing different methods in order to take into account the large number of factors that can influence the antioxidant action [47]. The choice of the two methods used in this work were assessed based on their different mechanisms: Trolox Equivalent Antioxidant Capacity (TEAC) assay estimates the ability to scavenge 2,2′-azinobis (3-ethylbenzothiazoline-6-sulfonate) (ABTS•+) radicals and ferric reducing capacity is evaluated by the Ferric Reducing Antioxidant Power (FRAP) method. As is shown in Table 3, significant differences have been found among the different oxidation states (p < 0.05), the lowest oxidation states reported the highest values for TEAC and FRAP (3.1 ± 0.1 mM eq Trolox/mg leaf d.w. and 5.4 ± 0.1 mM FeSO4/mg leaf d.w., respectively) and decrease as the oxidation state increases. Comparing the results with those reported by Tachakittirungrod and coworkers [48] for guava leaves, similar values were accomplished for TEAC and higher values for FRAP. This can be due to the fact that phenolic compounds in Spanish leaves are more involved in the mechanism of reduction of oxidized intermediates in the chain reaction.

Table 3.

Comparison (mean ± SD, n = 3) among total phenolic content (TPC) by HPLC-DAD-ESI-QTOF-MS, Trolox Equivalent Antioxidant Capacity (TEAC) and Ferric Reducing Antioxidant Power (FRAP) of Psidium guajava L. leaves at different oxidative states.

Oxidation State TPC (mg/g leaf d.w.) TEAC (mM eq Trolox/mg leaf d.w.) FRAP (mM FeSO4/mg leaf d.w.)
High 87.91 ± 0.05 c 2.2 ± 0.2 c 3.69 ± 0.03 c
Medium 92.0 ± 0.4 b 2.44 ± 0.05 b 4.20 ± 0.06 b
Low 103 ± 2 a 3.1 ± 0.1 a 5.4 ± 0.1 a

Means in the same column with different letter (a,b,c) are significantly different (p < 0.05).

Moreover, high correlation was found between the antioxidant assays (r = 0.9978 and p < 0.001), in concordance with the data obtained for guava leaves [49], fruits [50], and in 30 plant extracts of industrial interest [51]. However, TEAC value seems to be higher than FRAP value for guava leaves [12,14,48].

Quantification of total phenolic compounds by HPLC-DAD-ESI-QTOF-MS revealed that the three extracts showed significant differences (p < 0.05) as is displayed in Table 3. The lowest oxidation state provided the highest content of total phenolic compounds (103 ± 2 mg/g leaf d.w.), followed by the medium and the highest oxidation state (92.0 ± 0.4 and 87.91 ± 0.04 mg/g leaf d.w., respectively). The values obtained were lower than those reported by several authors that employed Folin–Ciocalteu method to quantify total phenolic compounds [12,14]. Even though the variance noticed is not great, it could be because the determination by HPLC presented only 50–60 percentage of total phenolic content [12]. Additionally, high correlation among TPC by HPLC, FRAP, and TEAC assays were found in the present work. In fact, positive correlation with r = 0.9921 (p < 0.001) was noticed between TPC by HPLC and FRAP and r = 0.9867 (p < 0.001) for TPC by HPLC and TEAC. Good correlations were also found between TPC by Folin–Ciocalteu and antioxidant activity was also noticed for guava leaves in literature [12,14,48].

3. Materials and Methods

3.1. Plant Material and Sample Preparation

Fresh guava leaves were harvested in Motril, Spain (36°44′43″N 3°31′14″W). The leaves were collected in February 2014 at different oxidation states (low, medium, and high) based on the difference of leaf color according to Hao [8]. The samples were air-dried at room temperature, ground, and extracted with ethanol:water 80/20 (v/v) by ultrasonics as was previously reported by Díaz-de-Cerio et al. [18].

3.2. Antioxidant Capacity Analysis

Trolox Equivalent Antioxidant Capacity (TEAC) and Ferric Reducing Antioxidant Power (FRAP) analysis were used to measure the antioxidant capacity.

For TEAC, ABTS radical cation was generated by reacting ABTS stock solution with 2.45 mM potassium persulfate in the dark at room temperature for 12–24 h before use. A calibration curve was prepared with different concentrations of Trolox (0–20 μM). The absorbance of ABTS radical cation was adjusted to 0.70 (±0.02) at 734 nm, and its change was measured [52].

To evaluate the reducing power, FRAP reagent (containing 2,4,6-tripyridyl-S-triazine (TPTZ), FeCl3 and acetate buffer) was prepared. An aqueous solution of Fe (II) was used for calibration (12.5–200 μM). The reduction was measured at 593 nm [53].

Results are expressed as mM eq Trolox/mg leaf d.w. and mM FeSO4/mg leaf d.w., respectively.

3.3. HPLC-DAD-ESI-QTOF-MS Analysis

Chromatographic analyses were performed using an HPLC Agilent 1260 series (Agilent Technologies, Santa Clara, CA, USA) equipped with a binary pump, an online degasser, an autosampler, a thermostatically-controlled column compartment, and a UV-VIS diode array detector (DAD). The column was maintained at 25 °C. Phenolic compounds from P. guajava L. leaves were separated using a method previously reported by Gómez-Caravaca et al. [54], in positive mode, slightly modified. Briefly, a fused-core Poroshell 120, SB-C18 (3.0 mm × 100 mm, 2.7 μm) from Agilent Technologies (Agilent Technologies, Palo Alto, CA, USA) was used. The mobile phases were water plus 1% acetic acid (A) and acetonitrile (B). A multi-step linear gradient was applied as follows; 0 min, 5% B; 2 min, 7% B; 4 min, 9% B; 6 min, 12% B; 8 min, 15% B; 9 min, 16% B; 10 min, 17% B; 11 min, 17.5% B; 12 min, 18% B; 13 min, 100% B; 17 min, 100% B; 18 min, 5% B. The initial conditions were maintained for 5 min. The sample volume injected was 3 μL and the flow rate used was 0.8 mL·min−1.

MS analyses were carried out using a 6540 Agilent Ultra-High-Definition Accurate-Mass Q-TOF-MS coupled to the HPLC, equipped with an Agilent Dual Jet Stream electrospray ionization (Dual AJS ESI) interface, at the following conditions: drying gas flow (N2), 12.0 L/min; nebulizer pressure, 50 psi; gas drying temperature, 370 °C; capillary voltage, 3500 V; fragmentor voltage and scan range were 3500 V and m/z 50–1700. In positive mode, auto MS/MS experiments were carried out using the followings collision energy values: m/z 100, 40 eV; m/z 500, 45 eV; m/z 1000, 50 eV; and m/z 1500, 55 eV.

Additionally, phenolic compounds were also analyzed in negative mode using the chromatographic and the detection method described by Díaz-de-Cerio et al. [18].

Standard calibration curves for cyanidin-3-O-β-galactopyranoside, gallic acid, catechin, ellagic acid, naringenin, and rutin were prepared in the range of concentrations from the limit of quantification (LOQ) to 50 mg/L and five calibration points for each standard were run in triplicate (n = 3).

Integration and data elaboration were performed using MassHunter Workstation software (Agilent Technologies).

3.4. Statistical Analysis

The results reported in this study are the averages of three repetitions (n = 3). Fisher’s least significance difference (LSD) test and Pearson’s linear correlations, both at p < 0.05, were evaluated using Statistica 6.0 (2001, StatSoft, Tulsa, OK, USA).

4. Conclusions

HPLC coupled to QTOF-MS detector, which provides a molecular formula and the MS/MS data, permitted the analysis of the major phenolic compounds of guava leaves. The method performed in negative mode has proven to be successful in determining 73 compounds in the different guava leaves. Moreover, in positive mode, the analysis with QTOF analyzer and the co-elution with a standard solution allowed the identification of the cyanidin-glucoside. To our knowledge the cyanidin-glucoside, was identified for the first time in guava leaves. Quantification data, in negative mode, reported that leaves with low oxidation state presented the highest concentration of these compounds and decreased when the oxidation state raise. On the contrary, the state of oxidation affected significantly the cyanidin content. In fact, highest amount was detected in the leaves with high oxidation state.

Guava leaves seem to be a good source of phenolic compounds with described anti-diabetic properties since several compounds present in the leaves have been related for ameliorating the effects of diabetes mellitus disease, although this content varies due to the oxidative state of the leaf, so further studies should be carried out in order to evaluate the influence of the phenolic composition on the bioactivity of the extract.

Acknowledgments

This work was funded by the project co-financed by FEDER-Andalucía 2007–2013 (Cod. 461100) and Diputación de Granada. The authors Ana María Gómez-Caravaca and Vito Verardo thank the Spanish Ministry of Economy and Competitiveness (MINECO) for “Juan de la Cierva” post-doctoral contracts.

Author Contributions

Elixabet Díaz-de-Cerio carried out the experimental analyses, data interpretation and manuscript writing; Ana María Gómez-Caravaca and Vito Verardo design the experimental plan and were involved in the data interpretation and manuscript redaction; Alberto Fernández-Gutiérrez and Antonio Segura-Carretero were the responsibly of the project and founded the financial sources, moreover, they helped in the data interpretation.

Conflicts of Interest

The authors declare no conflict of interest.

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