Metal-organic frameworks in electrochemical food monitoring: A comprehensive review

Metal-organic frameworks (MOFs) have r–evolutionized electrochemical sensing of food additives through their tunable porosity, high surface area, and versatile functionalities. Compared to conventional techniques like HPLC, which require sophisticated laboratory setups and costly reagents, MOF-based sensors offer a portable, rapid, and cost-effective alternative for detecting nitrites, preservatives, and pesticides. However, initial MOF designs such as MIL-101-struggled with poor conductivity and structural instability, limiting their practical use. Recent enhancements integrating carbon nanomaterials, enzymes, hydrogels, and biomolecules have significantly improved the sensitivity, selectivity, and robustness of MOF-based platforms. Furthermore, Optimization Across Food Matrices is now being leveraged to refine MOF design, optimizing stability and selectivity across complex food matrices and accelerating the pathway to real-time food safety monitoring. Despite persistent challenges in reproducibility, long-term durability under harsh conditions, and scalability for commercial implementation, MOFs continue to evolve as promising tools for accessible and efficient food additive analysis.

Authors

Publication Details

Journal
Next Materials
Published
2025-10-01
DOI
https://doi.org/10.1016/j.nxmate.2025.101292
Citations
3
Primary Topic
Dye analysis and toxicity
Type
article
Field-Weighted Citation Impact
2.26
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Metal-organic frameworks in electrochemical food monitoring: A comprehensive review

Nivetha Venkatesan, Balaji Parasuraman, T. Pazhanivel
3 citations
Next Materials
Dye analysis and toxicity
2.26
article

Metal-organic frameworks in electrochemical food monitoring: A comprehensive review

Nivetha Venkatesan, Balaji Parasuraman, T. Pazhanivel
article en
3 citations

Abstract

Metal-organic frameworks (MOFs) have r–evolutionized electrochemical sensing of food additives through their tunable porosity, high surface area, and versatile functionalities. Compared to conventional techniques like HPLC, which require sophisticated laboratory setups and costly reagents, MOF-based sensors offer a portable, rapid, and cost-effective alternative for detecting nitrites, preservatives, and pesticides. However, initial MOF designs such as MIL-101-struggled with poor conductivity and structural instability, limiting their practical use. Recent enhancements integrating carbon nanomaterials, enzymes, hydrogels, and biomolecules have significantly improved the sensitivity, selectivity, and robustness of MOF-based platforms. Furthermore, Optimization Across Food Matrices is now being leveraged to refine MOF design, optimizing stability and selectivity across complex food matrices and accelerating the pathway to real-time food safety monitoring. Despite persistent challenges in reproducibility, long-term durability under harsh conditions, and scalability for commercial implementation, MOFs continue to evolve as promising tools for accessible and efficient food additive analysis.

Next MaterialsVol. 9
Openalex Percentile: Top 11%
Dye analysis and toxicity
2.26
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.