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3D Fe–MOFs mimick peroxidase to enable monitoring of ascorbic acid in rat brain following brain ischemia.

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Title: 3D Fe–MOFs mimick peroxidase to enable monitoring of ascorbic acid in rat brain following brain ischemia.
Authors: Chen, Jian-Mei1 (AUTHOR), Wang, Yu-Xin1 (AUTHOR), Zhou, Neng-Jing1 (AUTHOR), Ding, Yong-Qi1 (AUTHOR) dingyongqi@hbnu.edu.cn
Source: Microchemical Journal. Jun2025, Vol. 213, pN.PAG-N.PAG. 1p.
Subjects: Metal-organic frameworks, Cerebral ischemia, Vitamin C, Synthetic enzymes, Catalytic activity
Abstract: We synthesized a monometallic mimetic catalyst with peroxidase-like activity, referred to as a Fe–MOFs, which were subsequently developed for use as a bioanalytical platform for monitoring ascorbic acid (AA). [Display omitted] • Fe–MOFs showed great peroxidase-like activity and stability. • Decomposition of adsorbed H 2 O 2 at the FeII-O-Fe sites of Fe–MOF to generate OH. • A colorimetric sensor for the detection of AA was proposed. • Sensor for monitoring AA levels in rat brain following the cerebral calm/ischemia. The rational development of efficient nanozymes is important for construction of biosensors with high catalytic properties, and thus multifunctional structure and performance of metal organic frameworks (MOFs) with enzyme-like activity make them potential candidates. Herein, we prepared regular 3D concave octahedral Fe–MOFs nanozymes by a one-step solvothermal strategy, exhibiting excellent peroxidase-like catalytic activity. Mechanistic studies revealed that the peroxidase-like catalytic process in Fe–MOF involves H 2 O 2 adsorption (H 2 O 2ad) and rapid electron transfer at open FeII-O-Fe metal sites to generate hydroxyl radicals (OH), which catalyze the oxidation of TMB to the blue product TMBox. Moreover, a platform for the quantitative detection of ascorbic acid (AA) was developed based on the good catalytic activity and stability of Fe–MOFs nanozymes. The constructed colorimetric platform for Fe–MOFs has increased sensitivity for AA measurements, possessing a good linear range of 0.01–50 µM with detection limit of about 4.5 nM. Furthermore, the ability of Fe–MOFs nanozymes to be used for facile colorimetric visualization of cerebral AA in rat following brain ischemia procedure illustrates promising applications of this platform. [ABSTRACT FROM AUTHOR]
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Database: Engineering Source
Description
Abstract:We synthesized a monometallic mimetic catalyst with peroxidase-like activity, referred to as a Fe–MOFs, which were subsequently developed for use as a bioanalytical platform for monitoring ascorbic acid (AA). [Display omitted] • Fe–MOFs showed great peroxidase-like activity and stability. • Decomposition of adsorbed H 2 O 2 at the FeII-O-Fe sites of Fe–MOF to generate OH. • A colorimetric sensor for the detection of AA was proposed. • Sensor for monitoring AA levels in rat brain following the cerebral calm/ischemia. The rational development of efficient nanozymes is important for construction of biosensors with high catalytic properties, and thus multifunctional structure and performance of metal organic frameworks (MOFs) with enzyme-like activity make them potential candidates. Herein, we prepared regular 3D concave octahedral Fe–MOFs nanozymes by a one-step solvothermal strategy, exhibiting excellent peroxidase-like catalytic activity. Mechanistic studies revealed that the peroxidase-like catalytic process in Fe–MOF involves H 2 O 2 adsorption (H 2 O 2ad) and rapid electron transfer at open FeII-O-Fe metal sites to generate hydroxyl radicals (OH), which catalyze the oxidation of TMB to the blue product TMBox. Moreover, a platform for the quantitative detection of ascorbic acid (AA) was developed based on the good catalytic activity and stability of Fe–MOFs nanozymes. The constructed colorimetric platform for Fe–MOFs has increased sensitivity for AA measurements, possessing a good linear range of 0.01–50 µM with detection limit of about 4.5 nM. Furthermore, the ability of Fe–MOFs nanozymes to be used for facile colorimetric visualization of cerebral AA in rat following brain ischemia procedure illustrates promising applications of this platform. [ABSTRACT FROM AUTHOR]
ISSN:0026265X
DOI:10.1016/j.microc.2025.113746