2023
DOI: 10.1007/s11694-023-02268-x
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Process optimization of nutritious whey incorporated wheat-barley buns and assessment of their physical, nutritional, and antioxidant profiles

Ankita Dobhal,
Pratima Awasthi,
Navin Chandra Shahi
et al.
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Cited by 4 publications
(4 citation statements)
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“…The obtained results of the study are depicted in Table , whereas Table depicts the results of ANOVA for experimental values, viz., mean square error (MSE), average absolute deviation (AAD), mean percentage error (MPE), root-mean-square error (RSME), R 2 , adj R 2 , predicted R 2 , adequate precision, coefficient of variation (C.V.%), and lack of fit. An R 2 value of greater than 85% explained a strong relationship between the experimental and predicted values . The R 2 values in this study were noted as 97%, 97.95%, 95%, 93.90%, and 99.51% for the extraction yield, DPPH, ABTS, TPC, and TFC, respectively.…”
Section: Resultssupporting
confidence: 55%
See 1 more Smart Citation
“…The obtained results of the study are depicted in Table , whereas Table depicts the results of ANOVA for experimental values, viz., mean square error (MSE), average absolute deviation (AAD), mean percentage error (MPE), root-mean-square error (RSME), R 2 , adj R 2 , predicted R 2 , adequate precision, coefficient of variation (C.V.%), and lack of fit. An R 2 value of greater than 85% explained a strong relationship between the experimental and predicted values . The R 2 values in this study were noted as 97%, 97.95%, 95%, 93.90%, and 99.51% for the extraction yield, DPPH, ABTS, TPC, and TFC, respectively.…”
Section: Resultssupporting
confidence: 55%
“…An R 2 value of greater than 85% explained a strong relationship between the experimental and predicted values. 27 The R 2 values in this study were noted as 97%, 97.95%, 95%, 93.90%, and 99.51% for the extraction yield, DPPH, ABTS, TPC, and TFC, respectively. The values of R 2 and adj-R 2 closer to 100% indicated that the empirical model fit the experimental data with a nonsignificant (p < 0.05) lack of fit.…”
Section: Model Fitting and Adequacy Of Experimental Datasupporting
confidence: 49%
“…The reliability of experimental data relies on C.V. values; lower the C.V, higher the reliability and vice versa. 25 , 26 The C.V. (%) values in this study were observed to be 1.94%, 8.69%, 23.52%, 3.81%, 6.86%, 1.69%, 0.5694%, and 2.64% for moisture, ash, fat, fiber, protein, carbohydrate, energy, and water activity, respectively. The p values for all the quality characteristic parameters of the special quartic model were lower than 0.05, and higher p value of lack of fit shows the nonsignificance of lack of fit.…”
Section: Resultssupporting
confidence: 52%
“…The C.V. (%) for moisture content (% wb), ash content (%), fat content (%), fiber content (%), protein content (%), carbohydrate content (%), energy (kcal), and water activity of the nutri-cereal mix was 1.94%, 8.69%, 23.52%, 6.86%, 3.81%, 1.69%, and 0.5694%, respectively, which shows minimum variation in data suited to the model due to higher mean values of 5.431, 2.70, 1.0341, 9.523, 26.669, 54.63, and 334.53, respectively. The reliability of experimental data relies on C.V. values; lower the C.V, higher the reliability and vice versa. , The C.V. (%) values in this study were observed to be 1.94%, 8.69%, 23.52%, 3.81%, 6.86%, 1.69%, 0.5694%, and 2.64% for moisture, ash, fat, fiber, protein, carbohydrate, energy, and water activity, respectively. The p values for all the quality characteristic parameters of the special quartic model were lower than 0.05, and higher p value of lack of fit shows the nonsignificance of lack of fit …”
Section: Resultsmentioning
confidence: 99%