Collection of materials
Raw milk procured from the cows maintained at Livestock Farm Complex of West Bengal University of Animal and Fishery Sciences, Mohanpur Campus, West Bengal, was used for the preparation of yoghurt. Yoghurt culture YoFlex Express 1.0 was (CHR Hansen Laboratory, India) was used for the preparation of yoghurt. Skim milk powder used was of “Sagar” brand, marketed by GCMMF, Anand, India. ZnO nanoparticle used for Yoghurt fortification was devised under the DBT’s (Department of Biotechnology, Government of India) Programme for NE (BT/PR25311/NER/95/1127/2017) adopting environment benign colloidal chemistry route
(Chatterjee et al., 2019).
Preparation of zinc fortified yoghurt
Yoghurt was prepared as per the methods described by
Santillán-Urquiza et al. (2017b) with minor modification. Cow milk was first standardized to 3.5% fat, heated to 90°C for 20 minutes and then cooled down to 40°C. Lyophilized yoghurt culture was then added to the milk and stirred for 10 minutes and poured into multiple 100ml plastic containers. Both ZnO nanoparticle and micro-sized ZnO were added at a concentration of 50ppm, 75 ppm and 100 ppm respectively and stirred for 20 minutes until complete dissolution. No salts were added in the control sample. All the samples were incubated at 45°C for 5 hours. The prepared yoghurt samples were kept at 7±1°C for further use.
Physicochemical analysis
The main objective of the study was to determine the effect of the addition of various forms of zinc salts on its physicochemical properties. Yoghurt sample was analysed for fat, protein and lactose content. Analytical methodologies such as Titratable acidity, Free Fatty acid, Peroxide Value, Tyrosine value and microbiological tests were carried out to determine the effect of zinc fortification into yoghurt on its physicochemical properties. Fat in raw milk and fat, lactose and titratable acidity of yoghurt were determined by the method as described in Indian Standard
(IS: SP: 18 Part XI 1981). The Protein content of yoghurt was determined using conventional micro-Kjeldahl digestion and distillation procedure as per the method described in
AOAC (2000). Free fatty acid (FFA) of yoghurt was quantified using the method described in
IS: 3508 (1966). Peroxide value was determined following the method given in
IS: 3508 (1966) and expressed as milliequivalent of oxygen per kilogram of fat. Tyrosine value was determined by spectrophotometric method at 680nm wavelength following the method described by
Hull (1947). The developed colour was measured at 680 nm in a colorimeter. A standard curve was prepared by determining the optical density at 680 nm for TCA mixtures containing 0 to 125 µg tyrosine/ml. Standard curve of tyrosine was prepared using tyrosine between 50 and 600 µL concentrations.
Microbiological analysis
Lactic acid bacteria (LAB) count of yoghurt samples was determined by using the method described by
Kailasapathy et al., (2008) with minor modification. The calculated results were expressed as a colony-forming unit (CFU) per gm or ml by multiplying the average number of colonies with the reciprocal of the dilution factor.
Sensory evaluation
Yoghurt samples were subjected to sensory evaluation by a panel of five trained judges using 100 points composite scorecard suggested by
Ranganadham and Gupta (1987) with modifications in score value. Score value for flavour, body and texture and colour were fixed at 50, 35 and 15 respectively.
Rheological analysis
Rheological properties of yoghurt was measured by using a rotational viscometer (DV-III Ultra, Brookfield, Middleboro, MA, USA) following the method described by
Santillán-Urquiza et al. (2017b). The strain rate was applied from 10-85 s
-1 to the samples to get the apparent viscosity values. Shear stresses (t) were determined at the corresponding shear rates (g) obtained by using 5, 10, 20, 30, 50, 60, 70, 80, 90 and 100 rpm at 20°C. The experimental data were fitted in a Herschel- Bulkley model. Yield stress (t0), flow behaviour index (n) and consistency coefficient (k) of these mathematical models were used to characterize the flow behaviour of yoghurt samples.
Textural analysis
Hardness and cohesiveness of the yoghurt samples were determined using a texture analyzer TAXT2i (Stable Microsystems, Surrey, UK) following the method described by
Santillán-Urquiza et al. (2017b). All measurements were carried out at 20°C on 0, 3
rd, 5
th and 7
th day. A minimum of three samples per replicate was run.
Statistical analysis
In the present study, a completely randomized design (CRD) has been adopted. To evaluate the efficacy of different sources of Zn, seven treatments namely, T1-Micro-sized ZnO with 50 ppm, T2- Micro-sized ZnO with 75 ppm, T3-Micro-sized ZnO with 100 ppm, T4- Nano ZnO with 50 ppm, T5- Nano ZnO with 75 ppm, T6- Nano ZnO with 100 ppm and T7- No ZnO were considered each having with 12 replications (4´3). The influence of the above seven treatments on yoghurt quality was evaluated at four different days (0, 3
rd, 5
th, 7
th day).
In next phase of our study to compare the optimized dose (75 ppm) of different Zn sources (micro-sized ZnO and ZnO nanoparticles) in respect to untreated control (without adding Zn) the same model has been used. One-way analysis of variance (ANOVA) was performed using SPSS software (SPSS 20.0, SPSS Inc., Chicago), Duncan’s multiple range tests (DMRT) was also employed to find out significantly different treatment means at 5% level of significance.