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A Review on the Applications of Portable Near-Infrared Spectrometers in the Agro-Food Industry

机译:便携式近红外光谱仪在农业食品行业中的应用综述

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摘要

Industry has created the need for a cost-effective and nondestructive quality-control analysis system. This requirement has increased interest in near-infrared (NIR) spectroscopy, leading to the development and marketing of handheld devices that enable new applications that can be implemented in situ. Portable NIR spectrometers are powerful instruments offering several advantages for nondestructive, online, or in situ analysis: small size, low cost, robustness, simplicity of analysis, sample user interface, portability, and ergonomic design. Several studies of on-site NIR applications are presented: characterization of internal and external parameters of fruits and vegetables; conservation state and fat content of meat and fish; distinguishing among and quality evaluation of beverages and dairy products; protein content of cereals; evaluation of grape ripeness in vineyards; and soil analysis. Chemometrics is an essential part of NIR spectroscopy manipulation because wavelength-dependent scattering effects, instrumental noise, ambient effects, and other sources of variability may complicate the spectra. As a consequence, it is difficult to assign specific absorption bands to specific functional groups. To achieve useful and meaningful results, multivariate statistical techniques (essentially involving regression techniques coupled with spectral preprocessing) are therefore required to extract the information hidden in the spectra. This work reviews the evolution of the use of portable near-infrared spectrometers in the agro-food industry.
机译:工业上已经产生了对成本有效且无损的质量控制分析系统的需求。这项要求引起了人们对近红外(NIR)光谱学的兴趣,从而推动了手持设备的开发和市场推广,这些手持设备使可以在现场实现的新应用成为可能。便携式NIR光谱仪是功能强大的仪器,可为无损,在线或原位分析提供多种优势:体积小,成本低,坚固耐用,分析简便,样品用户界面,便携性和人体工程学设计。提出了一些对现场近红外应用的研究:水果和蔬菜内部和外部参数的表征;肉和鱼的保存状态和脂肪含量;区分饮料和乳制品并进行质量评估;谷物的蛋白质含量;评估葡萄园中葡萄的成熟度;和土壤分析。化学计量学是近红外光谱操作的重要组成部分,因为与波长有关的散射效应,仪器噪声,环境效应和其他可变性来源可能会使光谱复杂化。结果,难以将特定的吸收带分配给特定的官能团。为了获得有用和有意义的结果,因此需要多元统计技术(本质上涉及与光谱预处理相结合的回归技术)来提取隐藏在光谱中的信息。这项工作回顾了在农业食品行业中使用便携式近红外光谱仪的发展。

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