MOF‐Based Biomimetic Enzyme Microrobots for Efficient Detection of Total Antioxidant Capacity of Fruits and Vegetables

Green and efficient total antioxidant capacity (TAC) detection is significant for healthy diet and disease prevention. This work first proposed the concept of TAC colorimetric detection based on microrobots. A novel metal-organic framework (MOF)-based biomimetic enzyme microrobot (MIL-88A@Fe<sub>3</sub>O<sub>4</sub>) is developed that can efficiently and accurately detect the TAC of real fruits and vegetables. Unlike the previous colorimetric detection method to measure TAC which often requires the addition of toxic hydrogen peroxide (H<sub>2</sub>O<sub>2</sub>) or light, the microrobots strategy can realize efficient TAC detection without any additional chemicals or stimuli. This is attributed to the oxidase-like activity from MIL-88A, which is discovered and confirmed for the first time by experiments and theoretical calculations. In addition, the microrobots can significantly accelerate the color reaction, resulting in a significant improvement in the detection efficiency of TAC in the motion state owing to their self-stirring effect. More importantly, the results of the MOF-based biomimetic enzyme microrobots strategy for detecting TAC in real fruits and vegetables are comparable to those tested by commonly used quantitative detection kits, in addition to low cost, excellent stability, and anti-interference ability. This attractive MOF-based biomimetic enzyme microrobot holds great prospects for future applications in catalytic sensing and promoting a healthy diet.

Authors

Institutions

Publication Details

Journal
Small
Published
2024-12-26
DOI
https://doi.org/10.1002/smll.202408231
Citations
9
Primary Topic
Advanced Nanomaterials in Catalysis
Type
article
Field-Weighted Citation Impact
1.05

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

MOF‐Based Biomimetic Enzyme Microrobots for Efficient Detection of Total Antioxidant Capacity of Fruits and Vegetables

Xu‐Jia Hong, Jie Yang, Renfeng Dong, Caiyan Lai et al.
9 citations
Small
Advanced Nanomaterials in Catalysis
1.05
article

MOF‐Based Biomimetic Enzyme Microrobots for Efficient Detection of Total Antioxidant Capacity of Fruits and Vegetables

Xu‐Jia Hong, Jie Yang, Renfeng Dong, Caiyan Lai, Ting Chen, Kai Huang, He Zhao, Yuepeng Cai
article en
9 citations

Abstract

Green and efficient total antioxidant capacity (TAC) detection is significant for healthy diet and disease prevention. This work first proposed the concept of TAC colorimetric detection based on microrobots. A novel metal-organic framework (MOF)-based biomimetic enzyme microrobot (MIL-88A@Fe<sub>3</sub>O<sub>4</sub>) is developed that can efficiently and accurately detect the TAC of real fruits and vegetables. Unlike the previous colorimetric detection method to measure TAC which often requires the addition of toxic hydrogen peroxide (H<sub>2</sub>O<sub>2</sub>) or light, the microrobots strategy can realize efficient TAC detection without any additional chemicals or stimuli. This is attributed to the oxidase-like activity from MIL-88A, which is discovered and confirmed for the first time by experiments and theoretical calculations. In addition, the microrobots can significantly accelerate the color reaction, resulting in a significant improvement in the detection efficiency of TAC in the motion state owing to their self-stirring effect. More importantly, the results of the MOF-based biomimetic enzyme microrobots strategy for detecting TAC in real fruits and vegetables are comparable to those tested by commonly used quantitative detection kits, in addition to low cost, excellent stability, and anti-interference ability. This attractive MOF-based biomimetic enzyme microrobot holds great prospects for future applications in catalytic sensing and promoting a healthy diet.

SmallVol. 21(6)
South China Normal University (CN), Guangxi Academy of Sciences (CN), Guangzhou Medical University (CN)
Basic and Applied Basic Research Foundation of Guangdong Province
Openalex Percentile: Top 20%
Advanced Nanomaterials in Catalysis
1.05
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.