台式和便携式光谱技术在食品质量监测中的应用

IF 4.6 2区 化学 Q1 SPECTROSCOPY
Muhammad Zareef , Muhammad Arslan , Waqas Ahmad , Md Mehedi Hassan , Muhammad Shoaib , Qin Ouyang , Huanhuan Li , Malik Muhammad Hashim , Sadaf Javaria , Quansheng Chen
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引用次数: 0

摘要

食品安全和质量问题已成为世界性的重大问题。光谱学方法具有快速、有效、无损等特点,是保证食品安全质量的重要手段。这些技术包括傅里叶变换红外(FTIR)、红外(IR)、拉曼光谱、近红外(NIR)和荧光光谱,可用于评估食品成分分析、食品掺假、腐败指标和各种程度的污染。随着光谱技术产生复杂的光谱数据,基于机器学习的化学计量学对数据分析变得至关重要。近年来,光谱数据分析采用了多种多元分析方法,多为去除不必要信息的预处理方法、定性和定量分析方法,可用于数据识别、分类和预测。本文综述了光谱技术和化学计量学方法的结合,重点介绍了它们的结合应用如何提高产品质量和确保食品安全。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Applications of benchtop and portable spectroscopy techniques for food quality monitoring

Applications of benchtop and portable spectroscopy techniques for food quality monitoring
Food safety and quality have become major worldwide issues. Because of their quickness, effectiveness, and non-destructive nature, spectroscopy methods are essential for guaranteeing the safety and quality of food items. These techniques include Fourier transform infrared (FTIR), Infrared (IR), Raman spectroscopy, near-infrared (NIR), and Fluorescence spectroscopies, which can be used to evaluate food composition analysis, food adulteration, spoilage indicators, and various levels of contamination. Machine learning-based chemometrics becomes essential for data analysis as spectroscopy techniques generate complex spectral data. Various multivariate analysis approaches have been recently used for spectral data analysis, and they are mostly classified as pre-processing methods for removing unnecessary information, qualitative, and quantitative analysis that can be used for data identification, classification, and prediction. This review examines the integration of spectroscopic techniques and chemometric methods, emphasizing how their combined application improves product quality and ensures food safety.
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来源期刊
CiteScore
8.40
自引率
11.40%
发文量
1364
审稿时长
40 days
期刊介绍: Spectrochimica Acta, Part A: Molecular and Biomolecular Spectroscopy (SAA) is an interdisciplinary journal which spans from basic to applied aspects of optical spectroscopy in chemistry, medicine, biology, and materials science. The journal publishes original scientific papers that feature high-quality spectroscopic data and analysis. From the broad range of optical spectroscopies, the emphasis is on electronic, vibrational or rotational spectra of molecules, rather than on spectroscopy based on magnetic moments. Criteria for publication in SAA are novelty, uniqueness, and outstanding quality. Routine applications of spectroscopic techniques and computational methods are not appropriate. Topics of particular interest of Spectrochimica Acta Part A include, but are not limited to: Spectroscopy and dynamics of bioanalytical, biomedical, environmental, and atmospheric sciences, Novel experimental techniques or instrumentation for molecular spectroscopy, Novel theoretical and computational methods, Novel applications in photochemistry and photobiology, Novel interpretational approaches as well as advances in data analysis based on electronic or vibrational spectroscopy.
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