推进糖尿病管理:无酶纳米颗粒葡萄糖传感器的未来--综述。

IF 3.7 Q2 ENDOCRINOLOGY & METABOLISM
Hana Boucheta, Emna Zouaoui, Hana Ferkous, Anis Madaci, Krishna Kumar Yadav, Yacine Benguerba
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引用次数: 0

摘要

背景:葡萄糖对生物过程至关重要,要求血糖水平保持在 3.88 至 6.1 mmol/L 之间,空腹时尤其如此。血糖水平升高是糖尿病的信号,全球有 5.37 亿人患有糖尿病,因此需要有效的血糖监测设备:方法:基于酶的传感器虽然具有选择性,但对环境因素很敏感。非酶传感器,尤其是纳米颗粒传感器,具有稳定性、高表面积和成本效益。现有文献支持其直接进行葡萄糖氧化,显示了其卓越的灵敏度:结果:这篇综述详细介绍了非酶传感器,强调了材料、检测极限以及基于纳米粒子的设计的前景,这些设计在葡萄糖检测中表现出更高的灵敏度和选择性:结论:综述显示,基于纳米粒子的传感器具有监测葡萄糖的潜力,克服了基于酶的局限性。结论提出了推进这些传感器的未来方向,强调了这一关键研究领域的持续创新。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Advancing Diabetes Management: The Future of Enzyme-Less Nanoparticle-Based Glucose Sensors-A Review.

Background: Glucose is vital for biological processes, requiring blood sugar levels to be maintained between 3.88 and 6.1 mmol/L, especially during fasting. Elevated levels signal diabetes, a global concern affecting 537 million people, necessitating effective glucose-monitoring devices.

Method: Enzyme-based sensors, though selective, are sensitive to environmental factors. Nonenzymatic sensors, especially those with nanoparticles, offer stability, high surface area, and cost-effectiveness. Existing literature supports their immediate glucose oxidation, showcasing exceptional sensitivity.

Results: This review details nonenzymatic sensors, highlighting materials, detection limits, and the promise of nanoparticle-based designs, which exhibit enhanced sensitivity and selectivity in glucose detection.

Conclusion: Nanoparticle-based sensors, as reviewed, show potential for glucose monitoring, overcoming enzyme-based limitations. The conclusion suggests future directions for advancing these sensors, emphasizing ongoing innovation in this critical research area.

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来源期刊
Journal of Diabetes Science and Technology
Journal of Diabetes Science and Technology Medicine-Internal Medicine
CiteScore
7.50
自引率
12.00%
发文量
148
期刊介绍: The Journal of Diabetes Science and Technology (JDST) is a bi-monthly, peer-reviewed scientific journal published by the Diabetes Technology Society. JDST covers scientific and clinical aspects of diabetes technology including glucose monitoring, insulin and metabolic peptide delivery, the artificial pancreas, digital health, precision medicine, social media, cybersecurity, software for modeling, physiologic monitoring, technology for managing obesity, and diagnostic tests of glycation. The journal also covers the development and use of mobile applications and wireless communication, as well as bioengineered tools such as MEMS, new biomaterials, and nanotechnology to develop new sensors. Articles in JDST cover both basic research and clinical applications of technologies being developed to help people with diabetes.
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