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Fuzzy Logic-Based Mobile Phase Optimization and Differential Analysis of Liquid Chromatography-Tandem Mass Spectrometry Detection of Coenzyme Q10 and 25-Hydroxyvitamin D
Conference proceeding

Fuzzy Logic-Based Mobile Phase Optimization and Differential Analysis of Liquid Chromatography-Tandem Mass Spectrometry Detection of Coenzyme Q10 and 25-Hydroxyvitamin D

Hong-Kun Liu, Jian-Li Cui, Kok Wai Wong, Si-Rui Li, Xi Huang and Yu-Jie Li
Proceedings (International Conference on Machine Learning and Cybernetics.), pp.191-196
International Conference on Machine Learning and Cybernetics (ICMLC) 2025 (Bali, Indonesia, 12/07/2025–15/07/2025)
2025

Abstract

25(OH)D Accuracy CoQ10 fuzzy Fuzzy logic Fuzzy reasoning Immune system LC-MS/MS Liquids Machine learning Mass spectroscopy Methanol Optimization Phase measurement reasoning
Liquid chromatography-tandem mass spectrometry (LC-MS/MS) serves as a key tool for the test of lipophilic substances in laboratory medicine and is widely employed in the analysis of coenzyme Q10 (CoQ10) and 25-hydroxyvitamin D (25OHD). In this paper, fuzzy concept was applied to improve the LC-MS/MS methods used for CoQ10 and 25OHD detection. The focus was placed on selecting the optimal mobile phase for CoQ10 analysis and examining the differences between LC-MS/MS and chemiluminescence immunoassay (CLIA) methods for 25(OH)D measurement. Through screening various organic phase combinations and employing fuzzy inference, the optimal mobile phase ratio for CoQ10 test is determined to be methanol and isopropanol at a ratio of 8:2. Additionally, fuzzy logic was employed to analyze the variations in 25OHD concentrations across different sexes and age groups. The results showed that women aged 30-40 exhibited greater differences in 25(OH)D levels compared to other groups. This study shows that the use of fuzzy concepts can enhance the adaptability and accuracy of LC-MS/MS detection, offering a novel approach to the analysis of lipophilic substances.

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