Literature DB >> 31727518

Rapid and nondestructive determination of sesamin and sesamolin in Chinese sesames by near-infrared spectroscopy coupling with chemometric method.

Zhenzhen Xia1, Tian Yi1, Yan Liu2.   

Abstract

Sesame was one of the most important crops in Africa and east Asia. The sesamin and sesamolin in sesames have shown various pharmacological, biological and physiologic activities. In this study, a rapid and nondestructive method for determination of sesamin and sesamolin in Chinese sesames by near-infrared spectroscopy coupled with chemometric method was proposed. The near infrared spectra of sesame samples from three different Chinese areas were collected and the partial least squares (PLS) was used to construct the quantitative models. The spectral preprocessing and variable selection methods were adopted to improve the predictability and stability of the model. Reasonable quantitative results can be obtained when the samples used for model construction and prediction were harvested in same years. For sesamin and sesamolin, the correlation coefficient (R) and root mean square error prediction (RMSEP) were 0.9754, 0.9636 and 151.2951, 39.7720, respectively. The optimized models seem less effective when they were used to predict the samples harvested in other years or countries. However, acceptable results can still be obtained.
Copyright © 2019. Published by Elsevier B.V.

Entities:  

Keywords:  Near-infrared spectroscopy; Partial least squares; Sesame; Sesamin; Sesamolin

Year:  2019        PMID: 31727518     DOI: 10.1016/j.saa.2019.117777

Source DB:  PubMed          Journal:  Spectrochim Acta A Mol Biomol Spectrosc        ISSN: 1386-1425            Impact factor:   4.098


  1 in total

1.  Inner Properties Estimation of Gala Apple Using Spectral Data and Two Statistical and Artificial Intelligence Based Methods.

Authors:  Vali Rasooli Sharabiani; Sajad Sabzi; Razieh Pourdarbani; Mariusz Szymanek; Sławomir Michałek
Journal:  Foods       Date:  2021-12-02
  1 in total

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