摘要
为实现中宁枸杞子产地的自动化快速鉴别，利用近红外光谱仪对不同产地42个枸杞子样品进行扫描，对枸杞子近红外光谱分别进行距离判别分析和聚类分析，建立枸杞子产地判别模型。结果表明：在6500-5200cm-1波数范围内，采用多元散射校正和标准正态变量变换预处理，对样品的识别率均达到100％，模型预测效果好；采用马氏距离结合离差平方和法，枸杞子可分为宁夏中宁枸杞和非宁夏中宁枸杞两大类群，样品判别率达到96．9％。利用近红外光谱对中宁枸杞子产地判别分析是可行的。
To develop an automatic and quick method to discriminate the geographical origin of Chinese wolfberry from Zhongning, 42 Chinese wolfberry samples from different regions in China were scanned with a near infrared spectrometer （NIR）. The NIR spectral data of wotfberry samples were analyzed with distance discriminant analysis （DDA） and cluster analysis to discriminate their geographical origins. The DDA analysis indicated that good prediction results were achieved with 100% recognition rate for the origin of wolfberry based on the multiplicative scatter correction and standard normal variate transformation of spectral data ranging from 6 500 to 5 200 cm-1. The wolfberry samples could be clustered into two groups using the Mahalanobis distances in combination with the Ward＇s method： one group consisting of those from Zhongning, Ningxia and the other from other regions. The recognition rate was 96.9%. In conclusion, it is feasible to apply NIR to discriminate the geographical origin of Chinese wolfberry from Zhongning.
出处
《食品科学》
EI
CAS
CSCD
北大核心
2014年第2期164-167,共4页
Food Science
基金
"十二五"国家科技支撑计划项目(2012BAD36B04)
关键词
枸杞子
近红外光谱
判别分析
聚类分析
Chinese wolfberry
near infrared spectrometer （NIS）
discrimination analysis
cluster analysis
