红外, 2023, 44 (9): 0038, 网络出版: 2024-01-16  

近红外光谱技术在油茶籽粕检测中的应用

Application of Near-Infrared Spectroscopy in The Detection of Oil-Tea Camellia Seed Meal
作者单位
1 江西省检验检测认证总院工业产品检验检测院,江西 南昌330052
2 南昌海关技术中心,江西 南昌330008
3 江西农业大学食品科学与工程学院,江西 南昌330045
摘要
以近红外光谱技术在油茶籽粕检测中的应用为研究对象,在简单介绍近红外光谱技术的原理、特点及分析过程的基础上,详细阐述了该技术在油茶籽粕检测中的建模过程,为后续工作者更好地建立油茶籽粕近红外光谱分析模型提供理论依据和指导。同时,通过分析近红外光谱技术在油茶籽粕检测指标、标准制定以及模型转移技术中的发展,总结出该技术在油茶籽粕检测中的三个研究方向:开拓新项目的模型建立、制定普遍适用的标准、解决台间差并完成模型转移。油茶籽粕广泛应用于动物饲料、特医食品、保健食品等行业,因此大力开拓和推广近红外光谱技术在油茶籽粕检测中的应用是必然趋势。
Abstract
The near infrared spectroscopy technology in the application of oil-tea camellia seed meal is taken as the research object. The modeling process of NIR spectroscopy in the detection of camellia seed meal is elaborated on the basis of a brief introduction of the principle, characteristics and analysis process of NIR spectroscopy, which provides theoretical basis and guidance for the subsequent workers to better establish the NIR analysis model of camellia seed meal. At the same time, by analyzing the development of this technology in the detection index, standard formulation and model transfer technology, three research directions of this technology (the establishment of new projects in the detection of camellia seed meal, the formulation of universally applicable standards, as well as the resolution of inter-table differences and the completion of model transfer) in the detection of camellia seed meal are summarized. Oil-tea seed meal is widely used in animal feed, special medical food, health food and other industries, so it is an inevitable trend to develop and popularize the application of near infrared spectroscopy technology in oil-tea seed meal detection.

邵小宇, 江龙发, 章明, 章超, 万承波, 刘晔, 耿响. 近红外光谱技术在油茶籽粕检测中的应用[J]. 红外, 2023, 44(9): 0038. SHAO Xiao-yu, JIANG Long-fa, ZHANG Ming, ZHANG Chao, WAN Cheng-bo, LIU Ye, GENG Xiang. Application of Near-Infrared Spectroscopy in The Detection of Oil-Tea Camellia Seed Meal[J]. INFRARED, 2023, 44(9): 0038.

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