A molecularly imprinted sensor based on NiO/MnO-loaded carbon nanoframework for monitoring glucose metabolism of cells in real-time

Cellular uptake of glucose is the first step for glucose metabolism that is closely related to the physiological activities of cells, it is effective to monitor the glucose consumption of cell culture medium in real time. Herein, a sensitive and selective electrochemical glucose sensor was developed by coating a molecularly imprinted polymer (MIP) layer on a carbon nanoframework co-loaded with NiO and MnO (Ni&Mn/CNFs). The Ni&Mn/CNFs were prepared via electrospinning and subsequent carbonization, and the MIP layer was electropolymerized using glucose as the template, creating specific recognition cavities. The bimetallic oxide synergistically enhances electrocatalytic activity, while the MIP layer endows excellent anti-interference capability. The sensor shows a linear response from 10 μM to 300 μM, with a sensitivity of 4.28 μA·log e (μM −1 )·cm −2 and a detection limit of 0.87 μM. Real-time monitoring of glucose consumption in cell culture media revealed that the highly malignant cancer cells (e.g., U87 and H1975) exhibit higher glucose metabolism than less aggressive cells (e.g., MCF-7 and HEK-293T), correlating metabolic levels with invasive/proliferative potential. Moreover, it is found that glucose consumption is higher during the S phase of the cell cycle, reflecting increased energy demand for DNA replication. This work provides a simple and reliable strategy for monitoring glucose metabolism in real-time and screening drugs targeting glucose metabolism.

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Publication Details

Journal
Biosensors and Bioelectronics
Published
2026-09-12
DOI
https://doi.org/10.1016/j.bios.2026.119225
Primary Topic
Electrochemical sensors and biosensors
Type
article
Field-Weighted Citation Impact
0.00

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article

A molecularly imprinted sensor based on NiO/MnO-loaded carbon nanoframework for monitoring glucose metabolism of cells in real-time

Hao Zhang, Zhuang Zhang, Siying Li, Zhanghao You et al.
Biosensors and Bioelectronics
Electrochemical sensors and biosensors
article

A molecularly imprinted sensor based on NiO/MnO-loaded carbon nanoframework for monitoring glucose metabolism of cells in real-time

Hao Zhang, Zhuang Zhang, Siying Li, Zhanghao You, Yuping Shan, Hui Wang, Guocheng Yang, Yunwei Long
article en

Abstract

Cellular uptake of glucose is the first step for glucose metabolism that is closely related to the physiological activities of cells, it is effective to monitor the glucose consumption of cell culture medium in real time. Herein, a sensitive and selective electrochemical glucose sensor was developed by coating a molecularly imprinted polymer (MIP) layer on a carbon nanoframework co-loaded with NiO and MnO (Ni&Mn/CNFs). The Ni&Mn/CNFs were prepared via electrospinning and subsequent carbonization, and the MIP layer was electropolymerized using glucose as the template, creating specific recognition cavities. The bimetallic oxide synergistically enhances electrocatalytic activity, while the MIP layer endows excellent anti-interference capability. The sensor shows a linear response from 10 μM to 300 μM, with a sensitivity of 4.28 μA·log e (μM −1 )·cm −2 and a detection limit of 0.87 μM. Real-time monitoring of glucose consumption in cell culture media revealed that the highly malignant cancer cells (e.g., U87 and H1975) exhibit higher glucose metabolism than less aggressive cells (e.g., MCF-7 and HEK-293T), correlating metabolic levels with invasive/proliferative potential. Moreover, it is found that glucose consumption is higher during the S phase of the cell cycle, reflecting increased energy demand for DNA replication. This work provides a simple and reliable strategy for monitoring glucose metabolism in real-time and screening drugs targeting glucose metabolism.

Biosensors and BioelectronicsVol. 315
Changchun University of Technology (CN)
National Natural Science Foundation of China
Affordable and clean energy
Openalex Percentile: Top 20%
Electrochemical sensors and biosensors
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A molecularly imprinted sensor based on NiO/MnO-loaded carbon nanoframework for monitoring glucose metabolism of cells in real-time — Hao Zhang, Zhuang Zhang, et al. · Biosensors and Bioelectronics (2026) | TGRS Research Map | TGRS