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机构地区:[1]中国农业大学动物科技学院,北京100193 [2]农业部牧草与草坪草种子质量监督检验测试中心,北京100193
出 处:《分析化学》2009年第9期1275-1280,共6页Chinese Journal of Analytical Chemistry
基 金:"十五"国家攻关子课题(No.2004BA528B-2-4)资助
摘 要:利用高效液相色谱(HPLC)法测定高粱籽粒中阿魏酸、原儿茶醛和花青素的含量,比色法测定总酚、总黄酮、缩合单宁的含量;运用偏最小二乘法建立NIR光谱与HPLC法和比色法分析值之间的多元校正模型,预测高粱籽粒中主要酚类物质的含量。结果表明,各成分近红外预测值与实测值之间的校正模型相关系数(R)、内部交叉验证均方差(RMSECV)、最佳主因子数分别为:总酚0.9737,0.288,4;总黄酮0.9660,0.00671,8;缩合单宁0.9558,0.0289,6;阿魏酸0.9818,0.0391,6;原儿茶醛0.9979,0.0118,5;花青素0.9977,0.0523,4;预测相对偏差(RSEP)分别为:总酚6.99%、总黄酮4.54%、缩合单宁7.13%、阿魏酸2.68%、原儿茶醛5.46%、花青素5.81%。结果表明,模型对样品NIR的预测值与其相应的化学值有较好的相关性,此模型可用来预测高粱籽粒中的各酚类物质的含量,在高粱优质育种和品质分析中具有广泛的应用价值。To develop a novel method for the fast determination of main phenolic compounds in sorghum grain with near infrared spectroscopy(NIRS),HPLC was used as the reference method to determine the contents of ferulic acid,protocatechuic aldehyde and anthocyanins,and colorimetry was used to determine the contents of total phenol,total flavone and proanthocyanidins in sorghum grains.NIR diffuse reflectance spectra of the samples were collected.Multivariate calibration models based on PLS algorithm were developed to correlate the spectra and the corresponding values were determined by the reference methods.The result showed that the correlation coefficients of the calibration models were 0.9737,0.9660,0.9558,0.9818,0.9979,0.9977,the RMSECV were 0.288,0.00671,0.0289,0.0391,0.0118,0.0523,the numbers of best main factor were 4,8,6,6,5,4 and the RSEP were 6.99%,4.54%,7.13%,2.68%,5.46%,5.81% for total phenol,total flavone,proanthocyanidins,ferulic acid,protocatechuic aldehyde and anthocyanins respectively.The proposed method is fast and nondestructive and provides a novel efficient and environmental friendly approach for the fast determination of the phenolic components in sorghum grains.
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