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Microbe-Based Sensor for Long-Term Detection of Urine Glucose
The development of a reusable and low-cost urine glucose sensor can benefit the screening and control of diabetes mellitus. This study focused on the feasibility of employing microbial fuel cells (MFC) as a selective glucose sensor for continuous monitoring of glucose levels in human urine. Using MF...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9320042/ https://www.ncbi.nlm.nih.gov/pubmed/35891020 http://dx.doi.org/10.3390/s22145340 |
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author | Li, Dunzhu Shi, Yunhong Sun, Yifan Wang, Zeena Kehoe, Daniel K. Romeral, Luis Gao, Fei Yang, Luming McCurtin, David Gun’ko, Yurii K. Lyons, Michael E. G. Xiao, Liwen |
author_facet | Li, Dunzhu Shi, Yunhong Sun, Yifan Wang, Zeena Kehoe, Daniel K. Romeral, Luis Gao, Fei Yang, Luming McCurtin, David Gun’ko, Yurii K. Lyons, Michael E. G. Xiao, Liwen |
author_sort | Li, Dunzhu |
collection | PubMed |
description | The development of a reusable and low-cost urine glucose sensor can benefit the screening and control of diabetes mellitus. This study focused on the feasibility of employing microbial fuel cells (MFC) as a selective glucose sensor for continuous monitoring of glucose levels in human urine. Using MFC technology, a novel cylinder sensor (CS) was developed. It had a quick response time (100 s), a large detection range (0.3–5 mM), and excellent accuracy. More importantly, the CS could last for up to 5 months. The selectivity of the CS was validated by both synthetic and actual diabetes-negative urine samples. It was found that the CS’s selectivity could be significantly enhanced by adjusting the concentration of the culture’s organic matter. The CS results were comparable to those of a commercial glucose meter (recovery ranged from 93.6% to 127.9%) when the diabetes-positive urine samples were tested. Due to the multiple advantages of high stability, low cost, and high sensitivity over urine test strips, the CS provides a novel and reliable approach for continuous monitoring of urine glucose, which will benefit diabetes assessment and control. |
format | Online Article Text |
id | pubmed-9320042 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-93200422022-07-27 Microbe-Based Sensor for Long-Term Detection of Urine Glucose Li, Dunzhu Shi, Yunhong Sun, Yifan Wang, Zeena Kehoe, Daniel K. Romeral, Luis Gao, Fei Yang, Luming McCurtin, David Gun’ko, Yurii K. Lyons, Michael E. G. Xiao, Liwen Sensors (Basel) Article The development of a reusable and low-cost urine glucose sensor can benefit the screening and control of diabetes mellitus. This study focused on the feasibility of employing microbial fuel cells (MFC) as a selective glucose sensor for continuous monitoring of glucose levels in human urine. Using MFC technology, a novel cylinder sensor (CS) was developed. It had a quick response time (100 s), a large detection range (0.3–5 mM), and excellent accuracy. More importantly, the CS could last for up to 5 months. The selectivity of the CS was validated by both synthetic and actual diabetes-negative urine samples. It was found that the CS’s selectivity could be significantly enhanced by adjusting the concentration of the culture’s organic matter. The CS results were comparable to those of a commercial glucose meter (recovery ranged from 93.6% to 127.9%) when the diabetes-positive urine samples were tested. Due to the multiple advantages of high stability, low cost, and high sensitivity over urine test strips, the CS provides a novel and reliable approach for continuous monitoring of urine glucose, which will benefit diabetes assessment and control. MDPI 2022-07-17 /pmc/articles/PMC9320042/ /pubmed/35891020 http://dx.doi.org/10.3390/s22145340 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Li, Dunzhu Shi, Yunhong Sun, Yifan Wang, Zeena Kehoe, Daniel K. Romeral, Luis Gao, Fei Yang, Luming McCurtin, David Gun’ko, Yurii K. Lyons, Michael E. G. Xiao, Liwen Microbe-Based Sensor for Long-Term Detection of Urine Glucose |
title | Microbe-Based Sensor for Long-Term Detection of Urine Glucose |
title_full | Microbe-Based Sensor for Long-Term Detection of Urine Glucose |
title_fullStr | Microbe-Based Sensor for Long-Term Detection of Urine Glucose |
title_full_unstemmed | Microbe-Based Sensor for Long-Term Detection of Urine Glucose |
title_short | Microbe-Based Sensor for Long-Term Detection of Urine Glucose |
title_sort | microbe-based sensor for long-term detection of urine glucose |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9320042/ https://www.ncbi.nlm.nih.gov/pubmed/35891020 http://dx.doi.org/10.3390/s22145340 |
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