基于近红外光谱技术的茯苓掺假无损检测研究  

Nondestructive Detection of Poria cocos Adulteration Based on Near Infrared Spectroscopy

作　　者：郑郁[1] 董怡青 赵芷岚 范伟[2] 李脉泉 刘霞[2] 杜国荣[4] 李跑[2,5] ZHENG Yu;DONG Yi-qing;ZHAO Zhi-lan;FAN Wei;LI Mai-quan;LIU Xia;DU Guo-rong;LI Pao(School of Medicine,Hunan Normal University,Changsha 410013,China;College of Food Science and Technology,Hunan Provincial Key Laboratory of Food Science and Biotechnology,Hunan Agricultural University,Changsha 410128,China;Orient Science&Technology College of Hunan Agricultural University,Changsha 410128,China;Beijing Work Station,Technology Center,Shanghai Tobacco Group Co.Ltd,Beijing 101121,China;Hunan Agricultural Product Processing Institute,Hunan Provincial Key Laboratory for Fruits and Vegetables Storage Processing and Quality Safety,Hunan Academy of Agricultural Sciences,Changsha 410125,China)

机构地区：[1]湖南师范大学医学院,湖南长沙410013 [2]湖南农业大学食品科学与技术学院,食品科学与生物技术湖南省重点实验室,湖南长沙410128 [3]湖南农业大学东方科技学院,湖南长沙410128 [4]上海烟草集团有限责任公司技术中心北京工作站,北京101121 [5]湖南省农业科学院湖南省农产品加工研究所,果蔬贮藏加工与质量安全湖南省重点实验室,湖南长沙410125

出　　处：《中国果菜》2021年第10期52-55,75,共5页China Fruit & Vegetable

基　　金：国家自然科学基金(31601551、32001680);湖南省自然科学基金(2019JJ50240);中国博士后科学基金面上项目(2019M650187);2021年度湖南农业大学东方科技学院院级“大学生创新训练计划项目”(Y12653202114);湖南省教育厅科学研究项目(19C0933)。

摘　　要：茯苓是一种常见的药食同源植物,具有较高的药用价值。然而目前市场上出现了茯苓掺假现象,严重损害了消费者的生命安全。本项目利用近红外光谱技术结合化学计量学法开发了一种茯苓掺假无损检测方法。通过采集不同比例掺假茯苓粉的近红外光谱数据,采用不同预处理方法消除光谱中的干扰,结合主成分分析法建立了掺假茯苓粉的鉴别模型。结果表明:原始光谱中存在较大的基线漂移和背景干扰,采用原始光谱结合主成分分析法无法实现茯苓粉的准确鉴别分析。而光谱预处理方法可以消除光谱中的干扰,采用标准正态变量变换、多元散射校正、连续小波变换以及求导预处理结合主成分分析方法均可实现对不同比例掺假茯苓粉的100%鉴别分析。以上结果表明,近红外光谱技术结合化学计量学方法可以实现茯苓掺假的无损检测。Poria cocos is a kind of medicinal and edible food, which has high medicinal value. However, the adulteration of Poria cocos appears in the market vecently, which seriously endangers the life and health of consumers. In this study, near infrared spectroscopy combined with chemometrics was used for the nondestructive detection of Poria cocos adulteration. The near infrared spectra of different proportions of adulterated Poria cocos powder samples were collected, and different pretreatment methods were used to eliminate the interferences in the spectra. Combined with the principal component analysis algorithm, the identification models of adulterated Poria cocos were established. The results showed that there were interferences of baseline drift and background in the original spectra, and it was impossible to identify adulterated Poria cocos with the principal component analysis method of the original spectra. Spectral pretreatment methods could eliminate the interferences in the spectra, and100% identification of adulterated Poria cocos in different proportions could be achieved by using standard normal variable transformation, multiple scattering correction, continuous wavelet transform and derivative methods combined with principal component analysis. The above results showed that the near infrared spectroscopy combined with chemometrics methods could realize the nondestructive detection of Poria cocos adulteration.

关 键 词：茯苓 近红外光谱 化学计量学 无损检测 光谱预处理 

分 类 号：O561.3[理学—原子与分子物理]