A simple spectrophotometric method for estimating total glucosinolates in mustard de-oiled cake

Glucosinolates are anti-nutritional factors present abundantly in the seed meal fraction of oilseed Brassica species. They are found in varying levels among different genotypes. Those genotypes containing less than 30 µmol/g are considered low/zero glucosinolate type and are preferred for edible pur...

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Published inInternational journal of food properties Vol. 20; no. 12; pp. 3274 - 3281
Main Authors Mawlong, Ibandalin, Sujith Kumar, M.S., Gurung, Bishal, Singh, K.H., Singh, Dhiraj
Format Journal Article
LanguageEnglish
Published Abingdon Taylor & Francis 02.12.2017
Taylor & Francis Ltd
Subjects
Correlation coefficients
Genotypes
Glucosinolates
High-performance liquid chromatography
Mustard
Palladium method
Prediction formula
Pungent principles
Seed meal
Spectrophotometry
Total glucosinolate
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Abstract Glucosinolates are anti-nutritional factors present abundantly in the seed meal fraction of oilseed Brassica species. They are found in varying levels among different genotypes. Those genotypes containing less than 30 µmol/g are considered low/zero glucosinolate type and are preferred for edible purposes due to low pungency. Twenty two different genotypes were taken for the analysis of glucosinolates by spectrophotometry. A regression model was obtained using Ordinary Least Square technique which predicted a formula. Total glucosinolates (µmol/g) = 1.40 + 118.86 × A 425 , where A 425 is the absorbance at 425 nm. The total glucosinolate content obtained by the prediction formula when compared with HPLC data showed a correlation coefficient of 0.942. This high correlation between the two data sets validated the developed methodology. This method also simplifies the estimation of total glucosinolates by excluding the use of HPLC or other sophisticated instruments.
AbstractList Glucosinolates are anti-nutritional factors present abundantly in the seed meal fraction of oilseed Brassica species. They are found in varying levels among different genotypes. Those genotypes containing less than 30 µmol/g are considered low/zero glucosinolate type and are preferred for edible purposes due to low pungency. Twenty two different genotypes were taken for the analysis of glucosinolates by spectrophotometry. A regression model was obtained using Ordinary Least Square technique which predicted a formula. Total glucosinolates (µmol/g) = 1.40 + 118.86 × A425, where A425 is the absorbance at 425 nm. The total glucosinolate content obtained by the prediction formula when compared with HPLC data showed a correlation coefficient of 0.942. This high correlation between the two data sets validated the developed methodology. This method also simplifies the estimation of total glucosinolates by excluding the use of HPLC or other sophisticated instruments.
Glucosinolates are anti-nutritional factors present abundantly in the seed meal fraction of oilseed Brassica species. They are found in varying levels among different genotypes. Those genotypes containing less than 30 µmol/g are considered low/zero glucosinolate type and are preferred for edible purposes due to low pungency. Twenty two different genotypes were taken for the analysis of glucosinolates by spectrophotometry. A regression model was obtained using Ordinary Least Square technique which predicted a formula. Total glucosinolates (µmol/g) = 1.40 + 118.86 × A 425 , where A 425 is the absorbance at 425 nm. The total glucosinolate content obtained by the prediction formula when compared with HPLC data showed a correlation coefficient of 0.942. This high correlation between the two data sets validated the developed methodology. This method also simplifies the estimation of total glucosinolates by excluding the use of HPLC or other sophisticated instruments.
Author Gurung, Bishal
Mawlong, Ibandalin
Sujith Kumar, M.S.
Singh, Dhiraj
Singh, K.H.
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Snippet Glucosinolates are anti-nutritional factors present abundantly in the seed meal fraction of oilseed Brassica species. They are found in varying levels among...
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SubjectTerms Correlation coefficients
Genotypes
Glucosinolates
High-performance liquid chromatography
Mustard
Palladium method
Prediction formula
Pungent principles
Seed meal
Spectrophotometry
Total glucosinolate
Title A simple spectrophotometric method for estimating total glucosinolates in mustard de-oiled cake
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