Quantitation of curcuminoids in curcuma rhizome by near-infrared spectroscopic analysis.

Quantitation of curcuminoids in curcuma rhizome by near-infrared spectroscopic analysis.
复制标题

DOI:
10.1021/jf801338e
复制
发表时间:
2008-09
影响因子:
6.1
通讯作者:
Ken Tanaka;Y. Kuba;Tetsuro Sasaki;Fumiko Hiwatashi;K. Komatsu
Ken Tanaka;Y. Kuba;Tetsuro Sasaki;Fumiko Hiwatashi;K. Komatsu
中科院分区:
农林科学1区
文献类型:
--
作者:
Ken Tanaka;Y. Kuba;Tetsuro Sasaki;Fumiko Hiwatashi;K. Komatsu

文献摘要

被引文献

相似文献

本研究利用近红外光谱和多元统计方法,建立了姜黄中姜黄素类化合物(包括姜黄素、脱甲氧基姜黄素和双脱甲氧基姜黄素)的无损快速定量分析方法。在姜黄样品的近红外光谱的二阶导数中,在1700和2300-2320 nm附近检测到姜黄素类化合物的两个特征吸收。采用偏最小二乘回归(PLS-R)方法对34个姜黄样品的近红外光谱进行分析,建立了姜黄粉样品中姜黄素、去甲氧基姜黄素、双去甲氧基姜黄素和总姜黄素含量的PLS定量模型。标准正态变量(SNV)和二阶导数的组合使用明显上级其他预处理方法。对于定量受试者姜黄素、脱甲氧基姜黄素、双脱甲氧基姜黄素和总姜黄素含量,在6、6、6和6个PLS因子处检测交叉验证(RMSECV)值的最低均方根误差。结果表明,PLS-R分析预测的组成与HPLC定量结果高度相关。
This study investigated a nondestructive and rapid quantitation method for the curcuminoids, including curcumin, demethoxycurcumin, and bisdemethoxycurcumin, present in turmeric using near-infrared (NIR) spectroscopy and multivariate statistics. In the second derivatives of the NIR spectra of turmeric samples, two characteristic absorptions of curcuminoids were detected around 1700 and 2300-2320 nm. Partial least-squares regression (PLS-R) analysis was applied to the NIR spectra obtained from 34 turmeric samples, and PLS models for the quantitation of curcumin, demethoxycurcumin, bisdemethoxycurcumin, and total curcuminoid contents in the pulverized turmeric samples were constructed. Combination usage of the Standard Normal Variate (SNV) and second derivatives was obviously superior to other preprocessing methods. The lowest root mean squared error of cross-validation (RMSECV) values were detected at 6, 6, 6, and 6 PLS factors, for the quantitative subjects curcumin, demethoxycurcumin, bisdemethoxycurcumin, and total curcuminoid contents. It was clarified that the prediction of the composition by PLS-R analysis showed high correlation with the results of HPLC quantitations.