ITAP, INRAE Montpellier Institut Agro, University Montpellier, 34196 Montpellier, France.
ChemHouse Research Group, 34196 Montpellier, France.
Molecules. 2022 Oct 11;27(20):6795. doi: 10.3390/molecules27206795.
Even though NIR spectroscopy is based on the Beer-Lambert law, which clearly relates the concentration of the absorbing elements with the absorbance, the measured spectra are subject to spurious signals, such as additive and multiplicative effects. The use of NIR spectra, therefore, requires a preprocessing step. This article reviews the main preprocessing methods in the light of aquaphotomics. Simple methods for visualizing the spectra are proposed in order to guide the user in the choice of the best preprocessing. The most common chemometrics preprocessing are presented and illustrated by three real datasets. Some preprocessing aims to produce a spectrum as close as possible to the absorbance that would have been measured under ideal conditions and is very useful for the establishment of an aquagram. Others, dedicated to the improvement of the resolution of the spectra, are very useful for the identification of the peaks. Finally, special attention is given to the problem of reducing multiplicative effects and to the potential pitfalls of some very popular methods in chemometrics. Alternatives proposed in recent papers are presented.
尽管近红外光谱法基于 Beer-Lambert 定律,该定律明确地将吸收元素的浓度与吸光度联系起来,但所测量的光谱会受到虚假信号的影响,例如加性和乘性效应。因此,近红外光谱的使用需要进行预处理步骤。本文根据水色分析综述了主要的预处理方法。为了指导用户选择最佳的预处理方法,提出了一些简单的可视化光谱的方法。介绍了最常见的化学计量学预处理方法,并通过三个真实数据集进行了说明。一些预处理旨在生成尽可能接近理想条件下测量的吸光度的光谱,这对于建立水色图谱非常有用。其他预处理方法则专门用于提高光谱的分辨率,对于识别峰非常有用。最后,特别关注了减少乘性效应的问题,并指出了化学计量学中一些非常流行的方法的潜在陷阱。本文还介绍了最近论文中提出的替代方法。