Microbial Bioprocessing of Plant-Based Food Matrices: From Conventional Analysis to In Situ Characterization of Cell Wall-Bound Phenolic Release

Abstract The release mechanisms of bound phenolics (BPs) from plant cell walls during bioprocessing, such as microbial fermentation, are highly dynamic and exhibit microscopic spatial selectivity. While conventional chemical analysis can provide macroscopic data on BPs release, it fails to reveal the microscopic spatial heterogeneity and causal relationships underlying the cell wall degradation process. This review examines both conventional extraction-based analytical methods and emerging in situ imaging technologies, such as Raman/FTIR spectroscopy, confocal laser scanning microscopy, immunofluorescence, and mass spectrometry imaging, highlighting their complementary roles and current technical bottlenecks in characterizing BPs release and cell wall degradation. Furthermore, a unified multiscale, multimodal framework is proposed, integrating high-resolution imaging, dynamic fluorescence probes, multidimensional spectroscopy, and machine-learning-assisted data fusion. This holistic characterization strategy elucidates the precise mechanisms governing phenolic release, providing a theoretical basis to guide the targeted enrichment of BPs and advance the efficient utilization of plant biomass and agricultural residues.

Authors

Institutions

Publication Details

Journal
Journal of Agricultural and Food Chemistry
Published
2026-11-11
DOI
https://doi.org/10.1021/acs.jafc.6c00824
Primary Topic
Phytochemicals and Antioxidant Activities
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
NOV
article

Microbial Bioprocessing of Plant-Based Food Matrices: From Conventional Analysis to In Situ Characterization of Cell Wall-Bound Phenolic Release

Junyi Yin, Weiwei He, Ningyu Lei, Yangyang Xun et al.
Journal of Agricultural and Food Chemistry
Phytochemicals and Antioxidant Activities
article

Microbial Bioprocessing of Plant-Based Food Matrices: From Conventional Analysis to In Situ Characterization of Cell Wall-Bound Phenolic Release

Junyi Yin, Weiwei He, Ningyu Lei, Yangyang Xun, Shaoping Nie, Shuai Liu, Mingyong Xie, Xiaoyi Hu, Yuhao Li, Jiapeng Li, Xin Wang, Xiaoxiao Song
article en

Abstract

Abstract The release mechanisms of bound phenolics (BPs) from plant cell walls during bioprocessing, such as microbial fermentation, are highly dynamic and exhibit microscopic spatial selectivity. While conventional chemical analysis can provide macroscopic data on BPs release, it fails to reveal the microscopic spatial heterogeneity and causal relationships underlying the cell wall degradation process. This review examines both conventional extraction-based analytical methods and emerging in situ imaging technologies, such as Raman/FTIR spectroscopy, confocal laser scanning microscopy, immunofluorescence, and mass spectrometry imaging, highlighting their complementary roles and current technical bottlenecks in characterizing BPs release and cell wall degradation. Furthermore, a unified multiscale, multimodal framework is proposed, integrating high-resolution imaging, dynamic fluorescence probes, multidimensional spectroscopy, and machine-learning-assisted data fusion. This holistic characterization strategy elucidates the precise mechanisms governing phenolic release, providing a theoretical basis to guide the targeted enrichment of BPs and advance the efficient utilization of plant biomass and agricultural residues.

Journal of Agricultural and Food Chemistry
Nanchang University (CN)
Phytochemicals and Antioxidant Activities
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon