Interpreting Analytical Chemistry Data: Recent Advances in Curve Resolution with the Aid of Chemometrics

Abstract

This overview summarizes the application and impact of chemometrics on the extraction and interpretation of analytical data with the use of curve resolution methods from about 2005 onward. The development and usage of well-known and novel chemometric methods have been described and approximately 85 papers have been referenced. Many suggested improvements to some well-known methods, for example, multivariate curve resolution, have been noted as well as the growing software for such methods. Also, these high dimensional resolution methods have found significant application and, arguably, have opened up a new perspective in calibration, that is, extraction of otherwise unobtainable analytical information from strongly overlapping profiles in the presence of interferences. Recent literature suggests that the use of chemometric methods in analytical chemistry for data extraction and interpretation provides indispensable tools for multivariate data processing and extraction of hidden information, which otherwise would be difficult to obtain.

Keywords:

• Chemometrics
• Data pretreatment
• Multivariate calibration
• Multivariate curve resolution

Acknowledgments

This work has been supported by the National Natural Science Foundation of China (No. NSFC21065007) and the State Key Laboratory of Food Science and Technology of Nanchang University (No. SKLF-MB201002 and SKLF-TS200919).