小型化近红外光谱和化学计量学:解决食品认证挑战的智能组合

Arian Amirvaresi, H. Parastar
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引用次数: 2

摘要

多年来,技术已经允许更准确,更有效,更及时的食品完整性评估,以确保食品材料的质量和真实性。便携式和手持式近红外(NIR)作为一种快速、可靠、无损和用户友好的仪器,为现场食品分析提供了更多的可行性。然而,小型化的近红外器件面临着一些重大挑战,因为存在不同的噪声资源,这可能导致误解。在这种情况下,具有分辨率、识别、分类和校准能力的化学计量学方法在实现对数据的精确和深入理解方面发挥着关键作用。在本综述中,我们将讨论小型化近红外仪器,一些化学计量学的概念,并介绍在食品认证问题中最流行的算法。这篇综述的主要特点是尽可能地避免数学细节,使材料能够被广泛的受众所理解,但在食品真实性的范围内,通过一些简单的说述性例子强调化学计量方法的关键特征。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Miniaturized NIR spectroscopy and chemometrics: A smart combination to solve food authentication challenges
Over the years, technology has allowed more accurate, more effective, and prompt food integrity assessments to assure the quality and authenticity of food material. Thanks to the development of portable and hand-held near infrared (NIR) as a rapid, reliable, non-destructive, and user-friendly instrument, on-site food analysis is provided with more feasibility. However, miniaturized NIR devices have some significant challenges due to the presence of varying noise resources which can lead to misinterpretation. In this context, chemometric methods with the capability of resolution, identification, classification, and calibration play a pivotal role in achieving precise and in-depth comprehension of the data. In the present mini-review, we will discuss miniaturized NIR instrumentation, some chemometric concepts, and introduce the most popular algorithm in food authentication problem. The main feature of this review is avoiding mathematical details as much as possible to make the material accessible to a broad audience but highlighting the key features of chemometric methods with some simple illustrative examples in the scope of food authenticity.
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