期刊论文

Rapid identification of geographical origin of camellia oil based on near infrared spectroscopy technology

Gong, Zhongliang(gzlaa@163.com)

中文

农业工程学报

1002-6819

2016

32

16

293-299

10.11975/j.issn.1002-6819.2016.16.040

国家自然科学基金（31401281） 湖南省自然科学基金（14JJ3115） 湖南省高校科技创新团队支持计划（2014207）

本校为第一且通讯机构

为研究茶油原产地溯源问题,维护其市场秩序,促进公平竞争。该文利用近红外光谱技术采集湖南、江西、安徽和浙江4个不同产地茶油的光谱数据,并运用Savitzky-Golay平滑(savitzky-golay, SG)、多元散射校正(multiplicative scatter correction, MSC)、一阶导数(first derivation, FD)和矢量归一化(vector normalization, VN)等4种方法对其进行预处理。采用偏最小二乘法(partial least squares, PLS)提取最佳主成分,构建PLS回归模型;同时,采用主成分分析(principal component analysis, PCA)和PLS算法提取最佳主成分,作为BP人工神经网络(BP artificial neural network, BPANN)输入变量,构建PCA-BPAN...

The identification of geographical origin of camellia oil is very significant in food market to maintain the market order and promote fair competition. The objective of this research was to evaluate the feasibility of a high efficient and nondestructive detection of the geographical origin of camellia oil by using near infrared spectroscopy combined with chemometrics methods. In this paper, 4 kinds of camellia oil samples obtained from Hunan, Jiangxi, Anhui and Zhejiang Province were tested with 39 samples for each kind. The samples were randomly divided into 2 groups, i.e. calibration set (30...