摘要
目的基于便携式近红外光谱技术结合化学计量学方法建立了一种茯苓粉真实性无损检测新方法。方法以与茯苓粉外观相似的生粉、木薯粉和小麦粉为假冒以及掺假物质,利用便携式近红外光谱仪采集假冒以及不同比例掺假茯苓粉的光谱数据;利用光谱预处理方法消除光谱中的背景以及基线漂移干扰;结合主成分分析方法构建假冒以及掺假茯苓粉的鉴别模型。结果采用原始光谱建立的主成分分析模型即可实现假冒茯苓粉(生粉和木薯粉)以及不同比例掺假茯苓粉(生粉)的准确鉴别,但无法实现假冒以及所有比例掺假茯苓粉(小麦粉)、25%掺假比例茯苓粉(木薯粉)的准确鉴别;合适的预处理方法可以提高模型的鉴别准确率,经预处理后的主成分分析模型可以实现所有假冒以及掺假茯苓粉的准确鉴别。结论采用近红外光谱技术与化学计量学方法可实现茯苓粉真实性无损检测。
Objective To establish a nondestructive analysis method of Poria cocos powder authenticity based on portable near-infrared spectroscopy combined with chemometric methods.Methods Taking corn starch,tapioca,and wheat flour with similar appearances as fake and adulterants,the near-infrared spectral data of fake and adulterated Poria cocos powder with different proportions were collected.Pretreatment methods were used to eliminate the background and baseline drift interferences in the spectra,while principal component analysis method was used to establish the identification models of fake and adulterated Poria cocos powder.Results The accurate identification of fake Poria cocos powder(corn starch and tapioca)and adulterated Poria cocos powder(corn starch)in different proportions could be realized with principal component analysis and the original spectra.However,it was difficult to achieve the accurate identification of fake Poria cocos powder(wheat flour)and 25%adulterated Poria cocos powder(tapioca).Appropriate pretreatment methods could improve identification accuracy.With principal component analysis and pretreatment methods,the accurate identification of fake and adulterated Poria cocos powder could be realized.Conclusion The near-infrared spectroscopy technology combined with chemometric methods can realize the nondestructive analysis of Poria cocos powder authenticity.
作者
董怡青
赵芷岚
范伟
李跑
刘洋
DONG Yi-Qing;ZHAO Zhi-Lan;FAN Wei;LI Pao;LIU Yang(College of Food Science and Technology,Hunan Agricultural University,Changsha 410128,China;Hunan Agricultural Product Processing Institute,Hunan Academy of Agricultural Sciences,Changsha 410125,China)
出处
《食品安全质量检测学报》
CAS
北大核心
2022年第22期7210-7217,共8页
Journal of Food Safety and Quality
基金
国家自然科学基金项目(32001670)
中国博士后科学基金项目(2019M650187)
湖南省教育厅科学研究项目(21A0127)
2021年度湖南农业大学东方科技学院院级项目(Y12653202114)。
关键词
近红外光谱
茯苓粉
真实性
无损鉴别
化学计量学
near-infrared spectroscopy
Poria cocos
authenticity
nondestructive analysis
chemometric methods
