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Updated: Aug 8, 2026
Microarray Polymer Profiling (MAPP) for High-Throughput Glycan Analysis
Published on: September 29, 2023
Comprehensive phytochemical profiling and ensemble machine learning discrimination of frozen mango puree processed by
Lei Xu1, Nan Zhang2, Roucun Lu1
1State Key Laboratory for Quality and Safety of Agro-Products, Institute of Quality Standard and Testing Technology for Agro-Products, Chinese Academy of Agricultural Sciences, Beijing 100081, China; Key Laboratory of Agro-Product Quality and Safety, Ministry of Agriculture and Rural Affairs, Beijing 100081, China.
Abstract:
High-pressure processing (HPP) and high-temperature short-time (HTST) pasteurization are widely used to stabilize mango puree, but their effects on phytochemical composition remain unclear. Here, untargeted UHPLC-QTOF metabolomics using RPLC/HILIC, targeted UPLC-QQQ quantification, pseudotargeted MRM profiling, and ensemble learning were integrated to compare non-sterilized, HPP-, and HTST-treated mango purees. In total, 311 phytochemicals were annotated, including 51 compounds putatively reported in mango for the first time. Processing-related changes were mainly associated with phenolics and amino acid derivatives. Targeted quantification showed higher ferulic acid in HPP than HTST puree (0.61 vs 0.13 mg/100 g FW), while methyl gallate decreased markedly after HTST treatment. A pseudotargeted MRM panel selected nine discriminant markers, enabling robust classification of processing methods and preliminary authentication of commercial mango-based products. This study provides a practical metabolomic-chemometric framework for industrial quality control and processing traceability.
