Comparison between voltammetric detection methods for abalone-flavoring liquid

• Published in: Open life sciences Vol. 16; no. 1; pp. 354 - 361
• Main Authors: Lv, Yan, Zhang, Xu, Zhang, Peng, Wang, Huihui, Ma, Qinyi, Tao, Xueheng
• Format: Journal Article
• Language: English
• Published: Poland De Gruyter 15.04.2021
• Subjects: abalone-flavoring liquid; liquids; principal component analysis; probabilistic neural network; support vector machine; support vector machines; variance; voltammetric detection methods; voltammetry; voltammetric detection methods; probabilistic neural network; support vector machine; abalone-flavoring liquid; principal component analysis

This article attempts to determine the most accurate classification method for different abalone-flavoring liquids. Three common voltammetric detection methods, namely, linear sweep voltammetry (LSV), cyclic voltammetry (CV), and square-wave voltammetry (SWV), were considered. To compare their class...