Raw materials and chemicals
Soft wheat and buckwheat flour were supplied by Dayıoğlu flour factory (Gaziantep-Türkiye) and Smart Kimya company (Izmir-Türkiye), while other raw materials like powdered sugar, salt, fat, and sunflower oil were obtained from a local market. Merck (Darmstadt, Germany) supplied buffer solutions, catechin hydrate, chloroform, potassium chloride, sodium acetate, Dextrose monohydrate, sodium hydroxide, boric acid, hexane, and Kjeldahl tablets. The chemical mixture, including hydrochloric acid, sulfuric acid, methanol, Folin & Ciocalteau's phenol reagent, potassium peroxydisulfate, tris-HCl buffer solution, Trolox, ABTS, gallic acid, Na2CO3 and NaHCO3, was obtained from Sigma/Aldrich (St. Louis, MO).
Biscuits preparation
Five biscuit formulations were prepared by adding BWF at the levels of 0 (A, control), 30 (B), 50 (C), 70 (D), and 100% (E). For all biscuit formulations, 100 g flour, 40 g sugar, 31 g fat, 21 g water, 1 g salt, 1.1 g dextrose monohydrate, and 1 g NaHCO3 have been used. The dough has been prepared in a laboratory dough mixer (Artisan, Kitchenaid, USA). Firstly, powder sugar, fat and dextrose were mixed at 1 speed for 3 min, and then water with NaHCO3 and salt added to the first mixture, evenly mixed at speed 1 speed for 2 minutes. The flour mixture was added and mixed uniformly for 5 minutes to create the dough. The dough is rolled to the desired thickness (3 mm) and cut into circular shapes of 6 cm diameter using a traditional biscuit mold (Fig. 1). The biscuit dough was baked at 190°C for 12 minutes, then cooled to 20°C and stored in an airtight container until analysis.
Determination of proximate composition and nutritional evaluation
The AACCI method was used to determine moisture (44-15.02), crude ash (08-01.01), crude fat (30-25.01), and crude protein (46-10.01, Nx5.7) content of flour and biscuit samples [26]. The total carbohydrate content was analyzed by differences. All results were expressed on a % dry solid basis. The energy value was determined using the specific coefficients of Atwater [27] (1903).
Determination of color of flours and biscuits
The color of flour and biscuit samples was determined using a Hunter Lab ColorFlex (Model No. 45/0, Mini Scan XE Plus, and Reston, Virginia, USA). CIE L*, a* and b* values of samples were measured (illuminate D65/10 as reference).
Determination of functional properties of flour samples
The bulk density (BD) of samples was determined using Falade & Christopher's [28] method. The amount of 50 g of flour was quantified and placed in a 100 ml cylinder. Then, the powdered samples were tapped thirty times. The sample volume was read. and the BD was calculated by using Eq. (1).
$$\:Bulk\:density\left(\frac{g}{ml}\right)=\frac{Weight\:of\:sample\:\left(g\right)\:}{\begin{array}{c}Volume\:of\:sample\:after\:tapping\:\left(ml\right)\\\:\:\end{array}}\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\left(1\right)$$
Water absorption (WAI) and solubility indices (WSI were quantified using procedure by Kadan et al. [29]. One g of flour sample was added to 10 mL of water (distilled) and placed on using vortex to be mixed for about 1 min. The slurry was warmed in a water bath and gently mixed for 30 min at 30°C. Later, the slurry at 3000 rpm centrifuged (Model, Nuve NF 1200R, Türkiye) for about 10 min. The supernatant dried in an oven at temperature of 130°C for 1 h. The sediment was separated, weighed, and WSI and WAI were determined by using Eqs. (2 and 3).
$$\:WAI\:\left(\text{g}/\text{g}\right)=\frac{weight\:af\:wet\:sediment\:\left(\text{g}\right)}{Dry\:weight\:of\:sample\:\left(\text{g}\right)}\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\left(2\right)$$
$$\:WSI\left(\%\right)=\frac{weight\:afdried\:supernant\:\left(g\right)\:}{Dry\:weight\:of\:sample\:\left(g\right)}*100\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\left(3\right)$$
Oil absorption index (OAI) of flour samples were estimated using the procedure formulated previously [30]. One g sample was added to 10 ml of sunflower oil, mixed well and centrifuged at 4100 rpm (Centrifuge Model: Nuve NF 1200r, Türkiye) for about 20 min. The extra oil was later decanted, and the remaining (absorbed oil weight) were measured and OAI was calculated by the following Eq. (4).
$$\:OAI\left(\frac{g}{g}\right)=\frac{dry\:afoil\:absorbed\:\left(\text{g}\right)\:\:\:\:}{\:weight\:of\:sample}\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\left(4\right)$$
The water (WAC) and oil absorption capacity (OAC) were evaluated according to Chandra et al. [31]. 25 ml of distilled water and vegetable oil was used for WAC and OAC, respectively and mixed with 2.5 g of powdered sample in tubes. The contents were centrifuged for 15 min at 4100 rpm. Later, the mixtures were kept at ambient temperature for 30 min. Then, the residue after centrifuging the sample was quantified for calculating WAC and OAC utilizing the following formula (5):
$$\:WAC\:and\:OAC=\frac{Millilitres\:of\:water\:or\:oil\:absorbed\:\left(ml\right)}{Weight\:of\:dry\:sample\:\left(\text{g}\right)}\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\left(5\right)$$
The foaming capacity (FC) was assessed using the method conducted by Chandra et al. [31]. One g sample was added to graduated cylinder containing 50 ml water (distilled). The mixture was then shaken for 5 min to produce foam. FC was measured after 30 second after whipping using the below Eq. (6):
$$\:FC\left(\%\right)=\frac{volume\:after\:whiping-volumeafter\:whiping}{Origional\:volume\:of\:sample}*100\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\left(6\right)$$
For least gelation capacity (LGC) determination, a suspension was made through mixing flour sample with water (2–20% (g flour/g water)). Ten ml of suspension was poured into a tube and boiled in water bath at 90°C for 1 h. Then, the sample was stored in the refrigerator to cool down for 2 h at 10 ℃. The LGC was determined by measuring the least concentration at which declining the tube and samples would not fall [31].
For determination of emulsion stability (ES) and emulsifying activity (EA) of flour samples 10 ml of sunflower oil and distilled water mixed with 1 ml of flour samples. The emulsion was centrifuged for 5 min at 4100 rpm. After centrifugation, the whole mixture’s total height was calculated as % EA by the Eq. (7). The centrifuge tube contained emulsion was heated at 80 ºC for 30 min in a water bath. Then, it was cooled with tap water for about 50 min [31]. The % of ES was determined by the Eq. (8).
$$\:EA\left(\%\right)=\frac{\text{V}\text{o}\text{l}\text{u}\text{m}\text{e}\:\text{o}\text{f}\:\text{l}\text{a}\text{y}\text{e}\text{r}\:\text{o}\text{f}\:\text{e}\text{m}\text{u}\text{l}\text{s}\text{i}\text{f}\text{i}\text{c}\text{a}\text{t}\text{i}\text{o}\text{n}\:\left(\text{m}\text{L}\right)}{\text{V}\text{o}\text{l}\text{u}\text{m}\text{e}\:\text{o}\text{f}\:\text{w}\text{h}\text{o}\text{l}\text{e}\:\text{l}\text{a}\text{y}\text{e}\text{r}\:\left(\text{m}\text{L}\right)}*100\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\left(7\right)$$
$$\:ES\left(\%\right)=\frac{\text{R}\text{e}\text{m}\text{a}\text{i}\text{n}\text{i}\text{n}\text{g}\:\text{e}\text{m}\text{u}\text{l}\text{s}\text{i}\text{f}\text{i}\text{e}\text{d}\:\text{l}\text{a}\text{y}\text{e}\text{r}\:\text{v}\text{o}\text{l}\text{u}\text{m}\text{e}\left(\text{m}\text{L}\right)}{\text{V}\text{o}\text{l}\text{u}\text{m}\text{e}\:\text{o}\text{f}\:\text{o}\text{r}\text{i}\text{g}\text{i}\text{n}\text{a}\text{l}\:\text{e}\text{m}\text{u}\text{l}\text{s}\text{i}\text{o}\text{n}\:\left(\text{m}\text{L}\right)}*100\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\:\left(8\right)$$
Determination of physical properties of biscuits
The AACC International method of analysis [26] was utilized to measure the diameter and thickness of baked biscuits randomly picked using a digital caliper (Mutitoyo No. 505–633, Japan). By a digital scale, biscuit weight and weight loss were estimated using an average of 6 biscuits. The spread ratio was determined by dividing the biscuits' average diameter by their average thickness. The volume of biscuits was determined by analyzing the displacement of rapeseeds AACCI Method no 10-05.01 [26]. From the weight and volume, the bulk density (BD) of biscuit samples was calculated as g/ml.
The AACCI method of 75-007.01 [26] was applied to evaluate the texture properties of biscuit samples by using a texture analyzer (TA-XT2i, Stable Micro Systems, Haslemere, UK). The fracture strength was assessed using a 3-point Bending Rig (HDP/M3PB) probe and a 5 kg load cell. Pre-test, test, post-test speed of instrument was adjusted to 1.0, 3.0 and 10.0 mm/s, respectively. The force needed to split the biscuit (the hardness of the biscuit, g) and the fracturability (mm) were determined.
Total phenolic content analyzing of biscuits
The FolineCiocalteau procedure was used to assess the total phenolic content, using gallic acid as a standard[32, 33]. The gallic acid standard (1–10 mg/L) and samples (1 mg/mL) were diluted with 1.0 mL distilled water to different concentrations. FolineCiocalteu reagent (1 mL) was added, vortexed, mixed, and kept at room temperature for 4 minutes, followed by adding 1.0 mL of 10% aqueous Na2CO3. The absorbance was measured at 760 nm using a spectrophotometer (Libra, Biochrom, UK) after 120 min of incubation at 20°C against a blank. The total phenolic compounds concentration was determined using a standard graph, calculated as mg of GAE per gram.
Determination of antioxidant capacity of biscuits
The antioxidant capacity was assessed using the Trolox equivalent antioxidant capacity (TEAC) method, following the procedures of Çam et al. [33]. The ABTS assay was prepared by dissolving 30 mg ABTS in K₂O₈S₂, diluted with 100 mM phosphate buffer, and then dried for 16 hours, resulting in 0.700 ± 0.005 absorbance at 734 nm.
The samples were diluted (1:20, v:v) with buffer, following which 50 µl of the diluted samples were combined with 1950 µl of ABTS. The absorbance at 734 nm was then determined after a 6-minute incubation period. The findings were quantified as mg TEAC/g.
Microstructure analysis of samples
Scanning electron microscopy (SEM) analysis of flour and biscuit samples were made by a Scanning electron microscope (Hitachi SU3500). Samples were placed on SEM holders and coated with gold under vacuum conditions before analysis. Sample images were made at 3500x magnification level with an accelerating voltage of 10 kV.
Sensory analysis of biscuits
Five differently coded samples i.e. A, B, C, D, and E were given to the 10 semi-trained panelists drawn within the Harran University, Department of Food Engineering. The biscuits were identified according to their color, visual appeal, texture, taste, flavor, aroma, and general approval. The judges evaluated based on various criteria, assigning a top score of 9 for strong approval and a low score of 1 for strong disapproval [34].
Statistical analysis
Statistical Package SPSS software (version 22.0, SPSS Inc., Chicago, IL, USA) was used for statistical evaluation of the data. Duncan multiple comparison test with ANOVA was used for comparisons at P ≤ 0.05. All experiments in the study were carried out in three replicates.