한빛사 논문
Su-Yeon Kim, Hye-Young Seo, Ji-Hyoung Ha*
Hygienic Safety and Analysis Center, World Institute of Kimchi, Gwangju 61755, Republic of Korea
*Corresponding author
Abstract
A novel approach for the discrimination of different glucosinolates (sinigrin, progoitrin, gluconapin, 4-methoxyglucobrassicin, glucoraphanin, glucobrassicin, glucoiberin, glucobrassicanapin, glucoraphenin, and glucoerucin) using a colorimetric sensor array (CSA) is reported herein. The developed CSA technique exhibited an acceptable linearity (r2 ≥ 0.97) over a concentration range of 0–150 μM for the 10 glucosinolates. The CSA coupled with principal component analysis and hierarchical cluster analysis correctly distinguished the majority of glucosinolate samples according to their type. In addition, the CSA coupled with linear discriminant analysis correctly classified the majority of 8 kinds of cruciferous vegetable samples with an overall accuracy of 94%. Furthermore, the partial least squares regression results showed that the CSA responses were correlated with the concentration in a correlation coefficient (Rp) range of 0.813–0.964. These results demonstrate that the described procedure based on the CSA technique could be useful for the rapid discrimination of different glucosinolates.
Keywords
Colorimetric sensor array; Cross-responsive dye; Hierarchical cluster analysis; Colorimetric sensing; Glucosinolate
논문정보
관련 링크
연구자 ID
관련분야 연구자보기
소속기관 논문보기
관련분야 논문보기
해당논문 저자보기