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

IF 13 2区 材料科学 Q1 CHEMISTRY, MULTIDISCIPLINARY Small Pub Date : 2024-12-26 DOI:10.1002/smll.202408231
Ting Chen, Caiyan Lai, He Zhao, Jie Yang, Kai Huang, Xu‐Jia Hong, Yuepeng Cai, Renfeng Dong
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引用次数: 0

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@Fe3O4) 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 (H2O2) 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.
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来源期刊
Small
Small 工程技术-材料科学:综合
CiteScore
17.70
自引率
3.80%
发文量
1830
审稿时长
2.1 months
期刊介绍: Small serves as an exceptional platform for both experimental and theoretical studies in fundamental and applied interdisciplinary research at the nano- and microscale. The journal offers a compelling mix of peer-reviewed Research Articles, Reviews, Perspectives, and Comments. With a remarkable 2022 Journal Impact Factor of 13.3 (Journal Citation Reports from Clarivate Analytics, 2023), Small remains among the top multidisciplinary journals, covering a wide range of topics at the interface of materials science, chemistry, physics, engineering, medicine, and biology. Small's readership includes biochemists, biologists, biomedical scientists, chemists, engineers, information technologists, materials scientists, physicists, and theoreticians alike.
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