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| 近红外光谱结合不同偏最小二乘法无损检测食醋中总酸含量 | |
| 引用本文： | 黄晓玮,王开亮,石吉勇,邹小波,夏蓉. 近红外光谱结合不同偏最小二乘法无损检测食醋中总酸含量[J]. 中国调味品, 2011, 36(1) |
| 作者姓名： | 黄晓玮 王开亮 石吉勇 邹小波 夏蓉 |
| 作者单位： | 1. 江苏大学,食品与生物工程学院,江苏,镇江,212013 2. 江苏大学,食品与生物工程学院,江苏,镇江,212013;江苏恒顺醋业集团研究所,江苏,镇江,212013 3. 江苏恒顺醋业集团研究所,江苏,镇江,212013 |
| 基金项目： | 全国优秀博士基金，国家博士后基金，江苏大学拔尖人才启动基金 |
| 摘 要： | 探讨了快速、无损检测食醋中总酸含量的建模方法,利用近红外光谱法分别结合间隔偏最小二乘法(iPLS)、反向区间偏最小二乘法(BiPLS)、联合间隔偏最小二乘算法(SiPLS)进行建模,对各算法在不同划分区间数及区间选择时对建立模型的影响进行比较.结果表明:BiPLS、SiPLS(2,3,4区间联合)建模效果较好于iPLS所建立的模型,其中BiPLS在选择43个子区间,5个子区间联合(3,4,6,7,16)最佳,其RMSECV和RMSEP分别为0.2876和0.2726,校正集和预测集相关系数分别为0.9343和0.938;SiPLS在选择3个区间联合,49个区间数(3、5、7区间联合)最佳,其RMSECV和RMSEP分别为0.2607和0.2802,校正集和预测集相关系数分别为0.9463和0.9371;iPLS在选择22个子区间,第三个子区间,主因子数为4时最佳,其RMSECV和RMSEP分别为0.2998和0.2977,校正集和预测集相关系数分别为0.928和0.9213.不同偏最小二乘算法所选取区域大多集中于5500～6000 cm-1范围内,证明该波数范围应该是总酸的相应特征区间. |
| 关 键 词： | 醋 近红外 偏最小二乘算法 |
Nondestructive detection of total acid content in vinegar based on NIR combined with partial least squares |
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| HUANG Xiao-wei,WANG Kai-liang,SHI Ji-yong,ZHOU Xiao-bo,XIA Rong. Nondestructive detection of total acid content in vinegar based on NIR combined with partial least squares[J]. China Condiment, 2011, 36(1) | |
| Authors: | HUANG Xiao-wei WANG Kai-liang SHI Ji-yong ZHOU Xiao-bo XIA Rong |
| Affiliation: | HUANG Xiao-wei1,WANG Kai-liang1,SHI Ji-yong1,ZHOU Xiao-bo1,2,XIA Rong2(1.School of Food & Biological Engineering,Jiangsu University,Zhenjiang 212013,China,2.Jiangsu Hengshun Group Co.,Ltd.,China) |
| Abstract: | Rapid non-destructive testing of total acid content in vinegar Modeling.Using near infrared spectroscopy were combined with interval Partial Least Squares(iPLS),Backward interval Partial Last Squares(BiPLS),Synergy interval Partial Least Squares algorithm(SiPLS)to modeling,division of each algorithm in different intervals and the interval chosen to model the impact when compared.The results show that the BiPLS,SiPLS(2,3,4 joint interval) model is better on the model iPLSi,43 of them in the choice of sub-int... |
| Keywords: | vinegar near infrared Partial Least Squares |
| 本文献已被 CNKI 万方数据 等数据库收录！ | |