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棉籽17种氨基酸含量的NIRS定标模型构建与测定方法研究

Determination of Amino Acid Contents in Cottonseeds Using Near Infrared Reflectance Spectroscopy

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摘要

选用氨基酸含量差异较大的多年份、 多品种、 多地点种植的445份棉花种子为材料, 分别对其进行近红外光谱扫描。 用一阶导数的数学处理(1, 4, 4, 1)、 标准正态变换和去趋势(SNV+D)最佳组合的预处理方法, 结合改良的偏最小二乘法(MPLS)构建棉籽17种氨基酸成分的近红外定标模型。 定标结果表明, 天冬氨酸、 苏氨酸、 谷氨酸、 甘氨酸、 丙氨酸、 缬氨酸、 异亮氨酸、 亮氨酸、 苯丙氨酸、 赖氨酸、 组氨酸和精氨酸等12种氨基酸含量的定标模型较好, 其RPDc为3.735~7.132, 外部检验r2为0.910~0.979, 近红外光谱分析完全可以替代化学测定; 而丝氨酸、 蛋氨酸、 酪氨酸和脯氨酸等四种氨基酸的定标模型次之, 其RPDc为2.205~2.814, 外部检验r2为0.800~0.830, 近红外分析技术虽不能完全替代化学测定的结果, 但仍可用于大量样品的筛选。 半胱氨酸定标方程的RPDc较小(RPDc=1.358), 因此, 棉籽中半胱氨酸含量不能用近红外分析方法进行检测。

Abstract

A total of 445 samples with great variability in amino acid contents were harvested for different seasons in different regions for developing calibration equations of amino acid content in cottonseeds. The spectral data of cotton kernel powder was processed using the first derivative mathematical treatment combined with SNV and de-trend, as well as modified partial least squares (MPLS) regression method. The chemometric models for 17 amino acids present in cottonseed were developed, and 12 of them were excellent for the determination of related amino acids, namely asparagic acid, threonine, glutamic acid, glycine, alanine, valine, isoleucine, leucine, phenylalanine, lysine, histidine, and arginine, with RPDc of 3.735~7.132 and determination coefficient (r2) of 0.910~0.979 in external validation. For those 12 amino acids, their values predicted by NIRS are comparable to those obtained by the chemical method with good accuracy. The RPDc of serine, methionine, tyrosine and proline were 2.205~2.814, and their determination coefficient (r2) were 0.800~0.830 in external validation. For those 4 amino acids, the values from NIRS are not so accurate as chemical analysis, but could be used in sample screening in cotton breeding program. While the equation for cystine was useless as its RPDc was only 1.358, which was not suitable for estimating its content in cottonseeds.

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中图分类号:O657.3

DOI:10.3964/j.issn.1000-0593(2011)10-2692-05

基金项目:国家(973计划)项目(2004CB117305), 转基因生物新品种培育重大专项项目(2008ZX08005-005)和公益性行业(农业)科研专项经费项目(nyhyzx07-052)资助

收稿日期:2010-10-24

修改稿日期:2011-02-01

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作者单位    点击查看

黄庄荣:浙江大学农业与生物技术学院农学系, 浙江 杭州310029
陈进红:浙江大学农业与生物技术学院农学系, 浙江 杭州310029
刘海英:浙江大学农业与生物技术学院农学系, 浙江 杭州310029
祝水金:浙江大学农业与生物技术学院农学系, 浙江 杭州310029

联系人作者:黄庄荣(zhuangrong@zju.edu.cn)

备注:黄庄荣, 1988年生, 浙江大学农业与生物技术学院硕士研究生

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引用该论文

HUANG Zhuang-rong,CHEN Jin-hong,LIU Hai-ying,ZHU Shui-jin. Determination of Amino Acid Contents in Cottonseeds Using Near Infrared Reflectance Spectroscopy[J]. Spectroscopy and Spectral Analysis, 2011, 31(10): 2692-2696

黄庄荣,陈进红,刘海英,祝水金. 棉籽17种氨基酸含量的NIRS定标模型构建与测定方法研究[J]. 光谱学与光谱分析, 2011, 31(10): 2692-2696

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