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. 2021 Sep 20;14(18):5443. doi: 10.3390/ma14185443

Micronized Oat Husk: Particle Size Distribution, Phenolic Acid Profile and Antioxidant Properties

Dariusz Dziki 1,2,*, Wojciech Tarasiuk 2,3, Urszula Gawlik-Dziki 2,4
Editor: Ndue Kanari
PMCID: PMC8466620  PMID: 34576663

Abstract

Oat husk (OH; hull) is a by-product generated from oat processing and is rich in insoluble fibre and phenolic compounds. The aim of this work was to study the particle size distribution, antioxidant activity, and phenolic profile of micronized OH. For this purpose, the hull was first sterilized using superheated steam and was then ground using an impact classifier mill. The particle size distribution (PSD) of the ground husk was determined using the laser diffraction method and the parameters characterizing the PSD of the ground husk, and its antioxidant activity were calculated. In addition, UPLC-MS/MS analysis of phenolic acids was also performed. Micronization of the sterilized husk effectively decreased the size of the particles, and with the increasing speed of the rotor and classifier, the median size of the particles (d50) decreased from 63.8 to 16.7 µm. The following phenolic acids were identified in OH: ferulic, caffeic, p-hydroxybenzoic, vanillic, syringic, and synapic acid. Ferulic acid constituted about 95% of total phenolic acids. The antioxidant activity of the obtained extracts increased as the particle size of the micronized husk decreased. The highest half maximal inhibitory concentration (EC50 index) was found for chelating power, and the lowest was found in the case of radical scavenging activity against DPPH.

Keywords: oat hull, micronization, impact classifier mill, microbiological purity, particle size distribution, total phenolic content, antioxidant properties

1. Introduction

Oat is becoming more popular as a raw material in various sectors of the food industry because of the well-known health benefits of its products. Oat grain is rich in many bioactive compounds such as phenolic acids, flavonoids, avenanthramides, and fibre [1,2]. Oat husk (OH; hull) is a by-product obtained from oat processing for food purposes. It is assumed that 2.75–3.3 million tons of OH is generated as a by-product [3]. OH usually represents an average of 27% of oat grain [4]. Emmons and Peterson [5] found a similar level of total phenolics in OH as in oat groat and husked oat. However, studies conducted by Piątkowska et al. [6] on different parts (e.g., husk, bran, endosperm and whole grain) of 13 oat varieties showed that OH contained the highest level of polyphenols and exhibited the highest antioxidant activity. Additionally, OH is a rich source of insoluble dietary fibre with health-promoting properties. This type of fibre includes cellulose and lignins, which are the components of plant cell walls, and absorbs water but does not dissolve in it. Dietary fibre increases the volume and softness of the stool and supports normal intestinal peristalsis [7]. The main constituent of OH is lignocellulosic fibres, which are made up of cellulose, hemicelluloses, and lignin [8]. The composition of OH is as follows: ~33% crude fibre, ~33% pentosans, ~13% lignin, ~4% protein, and ~5% ash [9]. OH is mainly used in animal feed or in the production of industrial solvents. However, it can also be used as an ingredient in high-dietary fibre foods [10]. Studies analysing the possibility of using OH as a food additive are limited in the literature. Piwińska et al. [11] added a mixture of OH with a soluble fraction of oat and produced wheat pasta. Oliveira et al. [8] showed that OH is a valuable source of cellulose fibres that can be used in the production of hydrogels that can be used in different applications.

Grinding is an important process that is followed in the food industry. The particle size of the ground seeds determines the properties of the final products [12,13]. Ultra-fine grinding (micronization), in particular, has become very popular in recent years [14,15,16]. Micronization is a process by which the particle size of a material is reduced to a nanosize range [17,18], thereby improving dispersion, chemical and biological activities, and the rate of nutritional absorption from food [19]. In fibre-rich plant materials, micronization enhances the water absorption of the particles and the solubility of fibre [20]. It also improves mouthfeel and increases the release of flavours [18]. Importantly, micronization improves the extraction of antioxidant compounds and helps in the release of many bioactive compounds bound to the food matrix [19,21,22].

Due to its high fibre content, the proper grinding of OH using traditional size reduction methods is difficult. Moreover, after conventional grinding, the OH particles produce an unpleasant, prickly mouth feeling [23]. Therefore, the fine grinding of such a material is recommended. Currently, no studies on the process of OH micronization and its properties can be found in the literature. Therefore, this work aimed to study the influence of the working parameters of an impact classifier mill on the particle size distribution (PSD), phenolic profile, and antioxidant properties of pulverized OH.

2. Materials and Methods

OH was received from AG Feeding Sp. z o.o. (Gdynia, Poland). Folin–Ciocalteu reagent, DPPH (2,2–diphenyl-1-picrylhydrazyl), gallic acid monohydrate, methanol, and ABTS (2,2-diphenyl-1-picrylhydrazyl) were purchased from the Sigma–Aldrich company (Poznań, Poland). Methanol and acetonitrile HPLC grade were purchased from Merck (Darmstadt, Germany). Formic acid LC-MS grade was purchased from Merck (Darmstadt, Germany). Ultrapure water was obtained in-house with a purification system (Milli-Q-Simplicity-185, Millipore Corp., Burlington, MA, USA). Reference standard kaempferol was purchased from Fluka AG (Buchs, Switzerland). All chemicals were of analytical grade.

2.1. Basic Composition

The moisture content (Method 925.10), crude protein content (Method 992.33; Nx6.25), ash content (Method 942.05), and total fibre content (Method 985.29) of OH were determined using standard methods [AOAC, 2011] [24].

2.2. Husk Sterilization

Before being ground, OH was sterilized using superheated steam generated from a thermal sterilizer of the authors’ own design. The sterilizer consisted of an insulated heated chamber equipped with a paddle mixer and a superheated steam supply system. The screw conveyor delivered the material to be ground to the heated chamber, the walls of which were heated up to a temperature of 200 °C. The paddles in the sterilizer chamber moved the material while mixing it. This prevented the material that came in direct contact with the chamber wall for a long time from burning. The raw supplied material was heated by the walls of the sterilizer. After preheating the material, a superheated steam that was 200 °C was supplied to the chamber, which had a total length of 6 m. The exhaust hood used at the end of the chamber removed the excess steam and did not allow the steam to retract. The total sterilization time was 4 min. The material from the sterilizer went directly into the cooling conveyor, which also had a length of 6 m. The efficiency of the sterilization and cooling process was identical;therefore, the material that was cooled to a temperature of about 30 °C was sent directly to the mill.

2.3. Microbiological Purity of OH

The OH samples were analysed before and after sterilization for the total number of yeasts and moulds [25], the total number of microorganisms [26], coliform counts [27], and Salmonella [28] and Bacillus cereus counts [29].

2.4. Micronization of OH

The sterilized OH was micronized using an impact classifier mill equipped with a rotor disc with 12 hammers and a classifier [30]. The mill was integrated with a centrifugal fan (airflow 2 m3∙s−1). The OH was ground by setting the disc at four different speeds: 2600, 2970, 3340, and 3710 rpm. It was pulverized by the hammers and passed through a liner with a corrugated surface. The pulverized material was then transported through a baffle assembly into a classifier wheel, which restricts the coarse particles from escaping to outside the mill, and these particles were recirculated back into the milling chamber. For each speed of the rotor disc, six different classifier wheel speeds were applied: 480, 965, 1450, 1930, 2410, and 2890 rpm. A detailed description of the mill used in this study was given by Dziki et al. [30].

2.5. Particle Size Distribution

The PSD of the micronized OH was measured by laser light scattering from 0.01 to 3.0 mm using a laser particle size analyser (Malvern Mastersizer 3000, Malvern Instruments Ltd., Worcestershire, UK). A total of 5 g of micronized OH sample was added to the inlet chamber, and the PSD was measured automatically by laser diffraction using the dry dispersion method [31]. PSD was expressed as d10, d50 (median diameter), and d90, which represent the 10th, 50th, and 90th percentile of the total volume, assuming the particles have a spherical shape. Moreover, the volume-based size distribution (Span) was calculated [32] using the following equation:

Span=d90d10d50 (1)

2.6. Antioxidant Properties

To study the antioxidant activity, 50% methanolic (methanol: water, 1:1 v/v) extracts of micronized OH were prepared. An amount of 250 mg of plant material was triple extracted using 5 mL of 50% aqueous methanol in a laboratory shaker for 30 min and then centrifuged. The combined extracts were used for further analyses [33].

The antioxidant activity of the OH extracts was determined by three assays: chelating power (CHEL), DPPH, and the ABTS radical scavenging activity. CHEL was determined according to the method presented by Guo et al. [34] with slight modification [35]. Radical scavenging activity of the OH extract against stable DPPH and the ABTS radical scavenging activity were determined according to Brand-Williams et al. [36] and Re et al. [37], respectively. The blank samples contained 50% methanol instead of the extract.

The chelating potential was assessed according to the formula:

% inhibition = [1 − (AA/AC)] × 100 (2)

Free radical scavenging activity was assessed according to the following equation:

scavenging % = [(AC − AA)/AC)] × 100 (3)

where AC is the absorbance of the control, and AA is the absorbance of the sample.

The half maximal inhibitory concentration (EC50) values were calculated at fitted models, as the concentration of the tested compound produced 50% of the maximum inhibition based on a dose-dependent mode of action [38].

2.7. UPLC-MS/MS Phenolics Acids Analysis

Three OH samples (200 mg each) of OH with the highest degree of fineness were selected and hydrolyzed with 4N NaOH and 2% ascorbic acid solution for 4 h at room temperature. Then, the samples were cooled in ice and were acidified using ice-cold 6M HCl to achieve a pH value of about 2. The resulting mixtures were centrifuged at 8000 rpm (Sigma 2-16) for 20 min. Supernatants of ethyl acetate were extracted three times. The organic phase was collected, filtered, and evaporated to dryness at 35 °C in a rotary evaporator. The residue was dissolved in 30% methanol and was stored in a freezer.

The phenolic acids were determined by an ACQUITY UPLC system equipped with a PDA and a triple quadrupole mass detector (TQD, Waters, Milford, MA, USA). Samples were separated on a Waters Acquity UPLC HSS C18 column (100 × 2.1 mm, 1.8 µm) with a mobile phase of solvent A (acidified water, 0,1% formic acid) and solvent B (acidified acetonitrile, 0,1% formic acid). The solvent gradient was programmed as follows: 8% to 20% B in 8 min; 20% to 95% B in 2.9 min; and 95% to 8% B in 2 min at a flow rate of 0.5 mL/min. The column temperature was maintained at 30 °C. The injection volume was set to 2.5 μL. Compounds were interpreted based on data from mass spectra. ESI ionization was performed in negative ion mode. Data processing was performed using MassLynx V4.1 software, Waters (Milford, MA, USA).

2.8. Statistical Analysis

All measurements were performed in triplicate unless otherwise noted. Analysis of variance was performed (one-way or two-way), and significant differences between means were determined using Tukey’s test. In addition, correlation and multilinear regression analyses were performed. The significance level of α was established at 0.05. Statistica 13.3 software (StatSoft, Tulsa, OK, USA) was used for the calculations.

3. Results and Discussion

3.1. Basic Composition and Microorganisms Identification

The basic chemical composition of OH was as follows: ash content 3.42 ± 0.11%, protein content 1.27 ± 0.08%, total fibre content 90.7 ± 1.23%, and initial moisture content 10.2 ± 0.15%. The microorganisms identified in the OH before and after sterilization are summarized in Table 1. Microorganisms are an integral part of cereal grains. The external parts of grains such as OH are especially susceptible to contamination during the period of grain ripening, harvesting, and storage [39]. Although microorganisms do not grow under lower water activity, bacteria and fungi can thrive for a long time, and under favourable conditions, they become active and present a potential hazard [40]. Escherichia coli, B. cereus, and Salmonella were not detected both before and after sterilization in any of the OH samples. However, moulds and yeasts were detected. The average number of moulds and yeasts and the total number of bacteria before sterilization were 4.0·105 and 4.6·106 cfu·g−1, respectively. Sterilization significantly decreased the number of microorganisms to an acceptable level [41]. The numbers of yeasts and moulds were found to have been decreased below 101 cfu·g−1, whereas the average total aerobic plate count was 2.6·103 cfu·g−1. According to the literature data, the content of yeasts and moulds in healthy cereal grains and oilseeds does not exceed 104 cfu·g−1 [42]. In addition, in the study, it was observed that sterilization decreased the moisture of the hull by up to 3.4 ± 0.22%. A decrease in the moisture content of the plant materials is known to increase their friability and usually results in the grinding process being more effective [43,44].

Table 1.

Microorganisms (cfu·g−1) identified in the OH before and after sterilization.

Oat Husk Yeast and Moulds Aerobic Plate Count Escherichia coli Batocillus Cereus Salmonella
Before Sterilization 4.0·105 ± 2.0·105 4.6·106 ± 2.3·106 nd * nd nd
After Sterilization <101 2.6·103 ± 0.5·101 nd nd nd

* not detected.

3.2. Particle Size Distribution

Example curves of the PSD of OH are presented in Figure 1, and the parameters that describe the PSD of ground OH are summarized in Table 2. The values of d10 changed in a relatively narrow range from 3.2 to 7.8 µm, whereas those of d50 and d90 ranged from 16.7 to 63.8 µm and from 75.1 to 282 µm, respectively. In the case of Span, which refers to the PSD width, the values increased from 4.1 to 7.9. The degree of fineness of the fibre-rich oat flour has a significant influence on the properties of many final products, such as bread [45], pasta [46], and sausage [47]. Particle size affects the texture and mouthfeel [48] of products and increases their bioavailability [49].

Figure 1.

Figure 1

Example curves of the PSD of OH (sample H18, eight repetitions).

Table 2.

Parameters that describe the particle size distribution of micronized OH.

Sample Revolution of Disc
(rpm)
Revolution of Classifier Wheel (rpm) d10
(µm)
d50
(µm)
d90
(µm)
Span
H1 2600 480 6.2 ± 0.05 m,* 41.3 ± 1.02 h 249 ± 11.4 j,k 5.9 ± 0.16 i
H2 2600 965 6.1 ± 0.07 m 55.7 ± 3.76 j 282 ± 16.0 n 5.0 ± 0.23 g
H3 2600 1450 5.5 ± 0.05 l 50.6 ± 1.33 i 277 ± 5.1 m,n 5.4 ± 0.12 h
H4 2600 1930 5.3 ± 0.04 k 47.6 ± 1.45 i 269 ± 6.9l m,n 5.5 ± 0.04 h
H5 2600 2410 4.9 ± 0.04 i 40.0 ± 0.71 h 264 ± 4.6l m 6.5 ± 0.11 j
H6 2600 2890 4.2 ± 0.02 e 22.9 ± 0.24 d,e 185 ± 3.1 f 7.9 ± 0.11 l
H7 2970 480 7.1 ± 0.09 n 56.1 ± 3.18 j 268 ± 10.9 l,m 4.6 ± 0.10 e,f
H8 2970 965 5.1 ± 0.07 k 42.6 ± 1.50 h 233 ± 3.5 h,i 5.4 ± 0.11 h
H9 2970 1450 4.7 ± 0.07 h 40.1 ± 3.97 h 224 ± 17.1 h 5.5 ± 0.13 h
H10 2970 1930 3.8 ± 0.04 d 26.3 ± 0.78 f 179 ± 7.3 f 6.7 ± 0.10 j
H11 2970 2410 3.8 ± 0.07 d 20.8 ± 0.95 c,d 150 ± 7.2 d 7.1 ± 0.23 k
H12 2970 2890 3.4 ± 0.03 c 15.5 ± 0.22 a 105 ± 4.3 b 6.6 ± 0.21 j
H13 3340 480 7.7 ± 0.04 o 63.8 ± 1.67 k 261 ± 4.7 k 4.0 ± 0.06 a,b
H14 3340 965 4.1 ± 0.23 e 25.8 ± 3.98 e,f 174 ± 19.9 e,f,l 6.6 ± 0.28 j
H15 3340 1450 5.0 ± 0.07 j 41.2 ± 0.89 h 203 ± 4.7 g 4.8 ± 0.07 f,g
H16 3340 1930 4.3 ± 0.08 f 28.8 ± 0.81 f 180 ± 8.0 f 6.1 ± 0.15 i
H17 3340 2410 3.4 ± 0.05 b,c 20.2 ± 0.41b c,d 125 ± 2.6 c 6.0 ± 0.11 i
H18 3340 2890 3.2 ± 0.03 a 17.4 ± 0.16 a,b 99 ± 2.3 b 5.5 ± 0.11 h
H19 3710 480 7.8 ± 0.12 o 67.4 ± 1.26 l 265 ± 5.1 l,m 3.8 ± 0.11 a
H20 3710 965 7.1 ± 0.09 n 57.1 ± 1.04 j 243 ± 9.0 I,j 4.1 ± 0.11 b,c,d
H21 3710 1450 4.5 ± 0.05 g 34.5 ± 0.66 g 161 ± 3.9 d 4.5 ± 0.09 e
H22 3710 1930 4.2 ± 0.04 e 26.2 ± 0.32 f 113 ± 1.8 b,c 4.2 ± 0.07 b,c
H23 3710 2410 3.3 ± 0.03 c,b 18.2 ± 0.41 b,c 78 ± 1.8 a 4.1 ± 0.17 b
H24 3710 2890 3.3 ± 0.05 b,c 16.7 ± 0.29 a 75.1 ± 1.8 a 4.3 ± 0.12 c,d

* The values designated by the different small letters (a, b, c, d, …) are significantly different (α = 0.05).

In general, the higher the speed of both the disc and classifier, the lower the values of d10, d50, and d90. The results of the variance analysis of the parameters that characterize the particle size of the micronized OH are presented in Table 3. The speed of rotation of both the disc (vd) and classifier (vk) had a significant influence on the parameters characterizing the PSD of the OH. However, according to the values obtained by the F-test, the speed of the classifier had the highest influence on d10, d50, and d90, whereas the speed of the rotor disc had a crucial effect on the parameter Span.

Table 3.

The analysis of variance for the parameters characterizing the PSD of pulverized oat husk.

Parameter Source of Variance Sum of Squares Degrees of Freedom Mean Square F-Test p-Value
d10 vd * 5.34 3 1.78 283 0.0001
vk 27.06 5 5.41 859 0.0001
vd·vk 17.43 15 1.16 184 0.0001
Error 0.756 120 0.006 - -
d50 vd 943.5 3 314.5 692.4 0.0001
vk 4976.3 5 995.3 2191.3 0.0001
vd·vk 3592.5 15 239.5 527.3 0.0001
Error 54.5 120 0.5 - -
d90 vd * 23.225 3 7742 647.4 0.0001
vk 147.444 5 29.489 2466 0.0001
vd·vk 94.26 15 6284 525.5 0.0001
Error 1435 120 12 - -
Span vd * 21.1 3 7.04 813.6 0.0001
vk 11.3 5 2.26 260.5 0.0001
vd·vk 27.4 15 1.83 211.6 0.0001
Error 1.04 120 0.009 - -

* vd—speed of the disc, vk—speed of the classifier.

Moreover, in the case of all of the parameters, significant interactions were found between the speed of the disc and the classifier. The changes in these parameters were described using multiple linear regression:

Y=a1×vd+a2×vk+b ±e (4)

where Y is the dependent variable, a1 and a2 are the regression coefficients, b is the intercept, vd and vk are the speeds of the disc and classifier, respectively, and e is the model’s error.

The results of the regression are summarized in Table 4. All of the parameters describing the PSD showed significant relations, and the coefficient of determination ranged from 0.722 (d10) to 0.785 (d50). This shows that the proposed equations generally described the changes in d10, d50, and d90 well with respect to the function of the rotation speed of the disc and the classifier. In the case of Span, the lowest R2 values were found (0.577). However, for both the coefficient of determination and the equation parameters, p-values were statistically significant.

Table 4.

Results of equations describing the relationships between the working parameters of the mill and the parameters describing the PSD of micronized OH.

Dependent Variable Equation Parameter Standardized Coefficient of Regression Standard Error Coefficient of Regression Standard Error t (213) p-Value R 2 Model’s Error
d10 Intercept - - 8.155 0.402 20.262 0.00001 0.722 0.740
vd * −0.846 0.0361 −0.00144 0.00006 −23.420 0.00001
vk −0.077 0.0361 −0.00026 0.00012 −2.118 0.03534
d50 Intercept - - 79.94267 4.76189 16.788 0.00001 0.785 8.79
vd −0.822 0.038 −0.01579 0.00073 −21.718 0.00001
vk −0.139 0.038 −0.00532 0.00145 −3.677 0.00001
d90 Intercept - - 561.98 17.08 32.91 0.00001 0.784 31.5
vd −0.716 0.03178 −0.0587 0.00261 −22.52 0.00001
vk −0.522 0.03178 −0.0852 0.00519 −16.42 0.00001
Span Intercept - - 9.5329 0.38747 24.60 0.00001 0.577 0.715
vd −0.6143 0.0445 −0.0016 0.00012 −13.79 0.00001
vk 0.4471 0.0445 0.0006 0.00006 10.02 0.00001

* vd—speed of the disc, vk—speed of the classifier.

3.3. Antioxidant Activity (AA) of OH

OH is rich in phenolic acids such as ferulic acid, p-coumaric acid, and vanillic acid, which have an influence on its AA [50]. Vagra et al. [51] studied the phenolic composition and AA of oat hull and groats using 20 oat genotypes and found AA that was several times higher in husks compared to groats. Lower values of d10, d50, and d90 resulted in a lower EC50 index in the case of all AA assays and consequently higher antioxidant activity (Table 5). The values of EC50 for CHEL changed from 27.67 mg dm/mL (H24) to 37.05 mg dm/mL (H1). The values of EC50 for ABTS ranged from 35.3 mg dm/mL (H23) to 44.9 mg dm/mL (H6), and the values for DPPH ranged from 76.9 mg dm/mL (H11) to 85.1 mg dm/mL (H7).

Table 5.

Antioxidant activity of OH.

Sample EC50CHEL [mg dm/mL] EC50ABTS [mg dm/mL] EC50DPPH [mg/mL]
H1 37.05 ± 1.35 h,i 41.3 ± 1.2 a–g 80.5 ± 1.2 a,b,c
H2 37.79 ± 0.40 i 42.2 ± 2.1 c–g 82.5 ± 1.92 a,b,c
H3 36.23 ± 0.36 h,i 43.2 ± 2.1 e,f,g 80.9 ± 1.42 a,b,c
H4 36.40 ± 0.41 h,i 44.9 ± 1.8 g 82.2 ± 2.42 a,b,c
H5 35.27 ± 0.34 f–i 44.1 ± 1.4 f,g 82.1 ± 1.72 a,b,c
H6 28.20 ± 0.36 a,b 41.9 ± 1.6 b–g 77.8 ± 1.72 a,b,c
H7 36.30 ± 0.45 h,i 44.4 ± 2.0 g 85.1 ± 1.4 a,c
H8 34.47 ± 0.64 f,g,h 43.0 ± 2.0 e,f,g 81.3 ± 1.12 a,b,c
H9 34.83 ± 0.57 f,g,h 40.4 ± 1.3 a–g 82.1 ± 1.72 a,b,c
H10 29.75 ± 0.85 a–d 37.9 ± 2.3 a–e 77.5 ± 1.22 a,b,c
H11 29.73 ± 0.55 a,b,c 38.1 ± 1.6 a–f 76.9 ± 1.3 a
H12 28.06 ± 0.49 a,b 35.9 ± 1.6 a,b 78.7 ± 3.4 a,b
H13 35.64 ± 0.82 g,h,i 42.6 ± 2.6 d,e,f,g 81.8 ± 3.72 a,b,c
H14 30.51 ± 0.36 a–e 41.2 ± 2.7 a–g 79.4 ± 2.72 a,b,c
H15 33.27 ± 1.11 e,f,g 42.9 ± 2. 5 e,f,g 83.2 ± 0.52 a,b,c
H16 32.67 ± 0.82 d,e,f 39.9 ± 2.17 a–g 81.0 ± 3.82 a,b,c
H17 30.6 ± 1.09b c,d,e 36.4 ± 2.00 a,b,c 77.2 ± 1.8 a
H18 28.77 ± 0.79 a,b,c 36.5 ± 0.9 a,b,c,d 78.0 ± 1.2 a,b
H19 36.37 ± 0.91 h,i 41.4 ± 1.67 a–g 83.6 ± 1.02 a,b,c
H20 37.33 ± 1.15 h,i 42.4 ± 2.2 c–g 83.0 ± 2.12 a,b,c
H21 34.60 ± 0.72 f,g,h 37.5 ± 2.1 a–e 80.9 ± 1.72 a,b,c
H22 31.33 ± 1.10 c,d,e 37.2 ± 2.1 a–e 77.1 ± 1.6 a
H23 31.27 ± 0.76 c,d,e 35.3 ± 2.1 a 77.9 ± 2.2 a,b
H24 27.67 ± 2.59 a 35.6 ± 1.6 a 79.7 ± 3.2 a,b

The values designated by the different small letters (a, b, c, d, …) are significantly different (α = 0.05).

The coefficients of correlation between d10, d50 d90 and CHEL were statistically significant and were included in Table 6. A similar relation was found between the particle size of micronized wheat bran and antioxidant activity in the study by Rosa et al. [52], in which a 1.5-fold increase was observed in the antioxidant capacity of bran when d50 was decreased from 172 to 30 µm. Additionally, other authors have observed that antioxidant activity increased as a result of the micronization of different fibre-rich plant materials [53,54,55]. This fact can be explained by the expansion of the surface area of particles and the destruction of the dietary fibre matrix, which resulted in the release of some antioxidative compounds from the matrix. Thus, the ultra-fine grinding of fibre-rich plant materials could be beneficial in enhancing the antioxidant activity and the pro-health value of food. In addition, the reduction of particle size by micronization increases the bioavailability of many compounds, and pulverized material is easily absorbed by the human body [18]. The relatively lower values of the antioxidant activity of OH can result from the interactions of polyphenols with carbohydrates originating from the cell wall such as cellulose or dietary fibres [56]. However, the polyphenols from such complexes could be released in the colon when exposed to various enzymes and microorganisms [57,58,59,60].

Table 6.

Correlation coefficients and p-values describing the relation between the parameters of PSD and antioxidant activity of OH.

Parameter CHEL * ABTS DPPH
r p-Value r p-Value r p-Value
d10 0.822 p = 0.0001 0.752 p = 0.0001 0.854 p = 0.0001
d50 0.887 p = 0.0001 0.696 p = 0.0001 0.795 p = 0.0001
d90 0.845 p = 0.0001 0.908 p = 0.0001 0.798 p = 0.0001

* CHEL—chelating power, ABTS—radical scavenging activity, DPPH—antiradical activity.

3.4. Phenolic Acids Profile

The UPLC-MS/MS analysis detected seven phenolic acids in the OH samples. The three samples of OH (H12, H17 and H24) with the highest degree of fineness (the lowest values of d50) were not statically different according to phenolic acid profile. The dominant phenolic acid was ferulic acid (on average 454.56 µg/mg d.m.). This compound represented about 95% of all of the detected phenolic acids. The following phenolic acids were detected in the OH samples: caffeic, p-hydroxybenzoic, vanilic, syringic, and synapic acid (Table 7). This compound has a lot of applications. It is an ingredient in many drugs, functional foods, and nutraceuticals [61]. Ferulic acid (4-hydroxy-3-methoxycinnamic acid) shows anticancer, anti-inflammatory, antimicrobial, antithrombotic, and hepatoprotective activity [62]. Although ferulic acid is the main phenolic acid of OH, it is not effortlessly available from this material because it is covalently linked with lignin and other biopolymers [62]. However, the enzymatic production of ferulic acid from lignocellulosic materials is possible [63,64].

Table 7.

Total phenolic acids profile (free and bound, µg/mg d.m.) in OH.

Phenolic Acid Sample
H12 H17 H24
Protocatechuic acid 0.73 ± 0.02 a 0.76 ± 0.01 a 0.74 ± 0.05 a
p-Hydroxybenzoic 5.12 ± 0.07 a 5.13 ± 0.17 a 5.05 ± 0.16 a
Vanillic 4.26 ± 0.31 a 4.24 ± 0.27 a 4.33 ± 0.12 a
Caffeic 6.26 ± 0.01 a 6.28 ± 0.10 a 6.18 ± 0.21 a
Syringic 3.14 ± 0.17 a 3.07 ± 0.16 a 3.03 ± 0.18 a
p-Coumaric Nq ** Nq Nq
Ferulic 438.19 ± 14.32 a 427.93 ± 8.18 a 433.37 ± 6.79 a
Synapic 1.84 ± 0.07 a 1.92 ± 0.13 a 1.83 ± 0.11 a
Salycilic Nd Nd Nd
Total 459.55 ± 14.22 a 449.32 ± 8.28 a 454.52 ± 7.22 a

The values designated by the same small letters (a) are not significantly different (α = 0.05). ** Nq—above limit of detection and below limit of quantification, Nd—below limit of detection.

4. Conclusions

This study demonstrated that the sterilization of OH decreases the moisture content, thereby resulting in a very dry material with appropriate microbiological purity. The proposed method of micronization effectively reduced the particle size of the sterilized husk. In addition, PSD can be modified by changing the working parameters of the mill that is used. By increasing the speed of hammers and classifier, ground OH with a median particle size below 20 µm can be obtained. Moreover, the association between the working parameters of the mill and the parameters describing the PSD of OH can be described by using a multilinear equation with respect to the speeds of both the disc and the classifier. Most importantly, the obtained material is rich in phenolic compounds, and a positive correlation was found between the size of the particles and the antioxidant activity. The UPLC-MS/MS analysis showed that ferulic acid represented about 95% of all of the detected phenolic acids. Therefore, the powder obtained from the OH can be used as a functional food additive and as a source of ferulic acid for industrial purposes.

Author Contributions

Conceptualization, D.D., W.T. and U.G.-D.; methodology, D.D., W.T. and U.G.-D.; validation, D.D., formal analysis, D.D.; investigation, D.D., W.T. and U.G.-D.; data curation, D.D.; writing—original draft preparation, D.D.; writing—review and editing, D.D.; supervision, D.D. All authors have read and agreed to the published version of the manuscript.

Funding

The research was partially founded by the project “Obtaining a fiber preparation from the husk and fruit-seed coat of oat grain with the use of innovative hulling and crushing technologies” (Grant Number POIR.01.01.01.-00-0289/17) co-financed by the European Union from the European Regional Development Fund under the Intelligent Development Operational Programme for 2014–2020.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

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

Conflicts of Interest

The authors declare no conflict of interest.

Footnotes

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

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Data Availability Statement

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


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