Literature DB >> 31820746

Non-invasive detection of glucose via a solution-gated graphene transistor.

Mingyu Ma1, Yang Zhou1, Jinhua Li1, Zhiqi Ge2, Hanping He2, Tian Tao1, Zhiwei Cai1, Xianbao Wang1, Gang Chang1, Yunbin He1.   

Abstract

Owing to its high sensitivity, a solution-gated graphene transistor has rapidly emerged as a cutting edge technology in electrochemical sensing. In this work, composites of gold nanoparticles and reduced graphene oxide were synthesized on a glassy carbon electrode by using the electrodeposition method. A modified glassy carbon electrode was used as the gate electrode and assembled into the solution-gated graphene transistor device along with the graphene channel for a non-invasive glucose detection. The sensing mechanism was based on the change in current in the channel of the device caused by the addition of glucose, of which electro-oxidation on the surface of the gold nanoparticles and reduced graphene oxide led to a change in equivalent gate voltage, and consequently, affected the channel carrier concentration. The self-amplification effect of transistors was utilized in our sensors, which resulted in a detection limit that was 10 times lower than those of conventional electrochemical sensors. Compared to traditional enzymatic transistor sensors, the novel solution-gated graphene transistor nonenzymatic sensors based on gold nanoparticles and reduced graphene oxide demonstrated significant sensing advantages, such as a simple structure, wide linear range from 10 μM to 400 μM and 400 μM to 31 mM, and low detection limit down to 4 μM. The chemicals coexisting in human sweat e.g. sodium chloride, urea, and lactic acid imposed no distinct interference for the glucose detection. Therefore, we achieved a non-invasive detection of glucose in the artificial sweat samples with satisfactory sensing results. This work demonstrates an effective route for non-invasive glucose testing in practical clinical diagnosis by using nonenzymatic, solution-gated graphene transistor devices.

Entities:  

Year:  2019        PMID: 31820746     DOI: 10.1039/c9an01754b

Source DB:  PubMed          Journal:  Analyst        ISSN: 0003-2654            Impact factor:   4.616


  3 in total

1.  A novel metal-organic framework of Ba-hemin with enhanced cascade activity for sensitive glucose detection.

Authors:  Jintao Yi; Xianqin Han; Fengying Gao; Le Cai; Ying Chen; Xiulong Deng; Xun Li; Jun Xue; Hui Zhou
Journal:  RSC Adv       Date:  2022-07-15       Impact factor: 4.036

Review 2.  A Meta-Analysis of Wearable Contact Lenses for Medical Applications: Role of Electrospun Fiber for Drug Delivery.

Authors:  Hamed Hosseinian; Samira Hosseini; Sergio O Martinez-Chapa; Mazhar Sher
Journal:  Polymers (Basel)       Date:  2022-01-03       Impact factor: 4.329

Review 3.  Trending Technology of Glucose Monitoring during COVID-19 Pandemic: Challenges in Personalized Healthcare.

Authors:  Le Minh Tu Phan; Thuy Anh Thu Vo; Thi Xoan Hoang; Sathish Panneer Selvam; Hoang Lan Pham; Jae Young Kim; Sungbo Cho
Journal:  Adv Mater Technol       Date:  2021-05-06
  3 in total

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