Figures & data
Figure 2. Overview of spectrophotometric method for estimating total glucosinolate content in rapeseed-mustard seed meal.
![Figure 2. Overview of spectrophotometric method for estimating total glucosinolate content in rapeseed-mustard seed meal.](/cms/asset/c4dae8e2-6227-44cb-8edf-61a6d154416c/ljfp_a_1286353_f0002_oc.jpg)
Table 1. Comparison of total glucosinolate content obtained by HPLC and spectrophotometric method after using the predicted formula.
Figure 3. Regression models using Ordinary Least Square techniques, total glucosinolates (µmol/g) was assumed to depend on only one predictor variable A425, where A425 is the absorbance at 425 nm. It was seen that total glucosinolates (µmol/g) was statistically significantly dependent on A425. Further, the predicted value and observed value of total glucosinolates (µmol/g) was almost overlapping graphically, which validated the relationship obtained using regression analysis.
![Figure 3. Regression models using Ordinary Least Square techniques, total glucosinolates (µmol/g) was assumed to depend on only one predictor variable A425, where A425 is the absorbance at 425 nm. It was seen that total glucosinolates (µmol/g) was statistically significantly dependent on A425. Further, the predicted value and observed value of total glucosinolates (µmol/g) was almost overlapping graphically, which validated the relationship obtained using regression analysis.](/cms/asset/6e3f9d68-2602-4d6e-939c-f2fae78a3427/ljfp_a_1286353_f0003_oc.jpg)
Figure 4. Regression models for prediction formula were obtained by using the HPLC data and their corresponding wet lab (spectrophotometric) data taken at absorbance 425.
![Figure 4. Regression models for prediction formula were obtained by using the HPLC data and their corresponding wet lab (spectrophotometric) data taken at absorbance 425.](/cms/asset/774247d6-1494-4e93-9701-f7fdf8ced32c/ljfp_a_1286353_f0004_oc.jpg)
Figure 5. (a) Graphical representation of estimated total glucosinolates using HPLC and spectrophotometric method after calculating with the predicted formula y = 1.40 + 118.86 × A425. (b) Regression analysis between total glucosinolate content obtained by HPLC and spectrophotometric methods showed a strong correlation of 0.942.
![Figure 5. (a) Graphical representation of estimated total glucosinolates using HPLC and spectrophotometric method after calculating with the predicted formula y = 1.40 + 118.86 × A425. (b) Regression analysis between total glucosinolate content obtained by HPLC and spectrophotometric methods showed a strong correlation of 0.942.](/cms/asset/8aa5c444-5a9f-4b83-80c3-0118146d64c9/ljfp_a_1286353_f0005a_oc.jpg)
Table 2. Predicted formula was further confirmed and compared with HPLC data.