Surface-enhanced Raman scattering (SERS) has enabled the detection of pathogens and
disease markers at extremely low levels. This review examines the potential impact of SERS …

Chemometric and statistical tools for data reduction and analysis abound, but the end
objective of most analytical undertakings is to make informed decisions based on the data …

摘要光谱预处理和波长选取方法在近红外光谱分析技术中相当重要. 本文综述了常用的NIR
预处理和波长选取方法及这一领域的最新进展, 详细介绍正交信号校正(OSC), 净分析信号(NAS) …

There is currently no well-defined procedure for providing the limit of detection (LOD) in
multivariate calibration. Defining an estimator for the LOD in this scenario has shown to be …

The limited coverage of data analysis and statistics offered in most undergraduate and
graduate analytical chemistry courses is usually focused on practical aspects of univariate …

This paper gives an introduction to multivariate calibration from a chemometrics perspective
and reviews the various proposals to generalize the well-established univariate …

The study of the antioxidant capacity of foodstuffs requires the use of diverse determination
methods to gain a wider picture of their multiple effects. The aim of this work was to evaluate …

The detection limit (LD) and the quantification limit (LQ) are important parameters in the
validation process. Estimation of these parameters is especially important when trace and …

A chemometric method has been developed for the determination of acidity and peroxide
index in edible oils of different types and origins by using near infrared spectroscopy (NIR) …

Practical implementation of multivariate calibration models has been limited in several areas
due to the requirement of appropriate development and validation to prove their …