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设计用于检测废水中有机化合物的石墨烯超表面有机材料传感器。

Designing a Graphene Metasurface Organic Material Sensor for Detection of Organic Compounds in Wastewater.

机构信息

Department of Electrical Engineering, College of Engineering, Jouf University, Sakaka 72388, Saudi Arabia.

Department of Physics, Marwadi University, Rajkot 360003, India.

出版信息

Biosensors (Basel). 2023 Jul 26;13(8):759. doi: 10.3390/bios13080759.

DOI:10.3390/bios13080759
PMID:37622845
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10452360/
Abstract

In many fields, such as environmental monitoring, food safety, and medical diagnostics, the identification of organic compounds is essential. It is crucial to create exceptionally sensitive and selective sensors for the detection of organic compounds in order to safeguard the environment and human health. Due to its outstanding electrical, mechanical, and chemical characteristics, the two-dimensional carbon substance graphene has recently attracted much attention for use in sensing applications. The purpose of this research is to create an organic material sensor made from graphene for the detection of organic substances like phenol, ethanol, methanol, chloroform, etc. Due to its high surface-to-volume ratio and potent interactions with organic molecules, graphene improves the sensor's performance while the metasurface structure enables the design of highly sensitive and selective sensing elements. The suggested sensor is highly sensitive and accurate at detecting a broad spectrum of organic molecules, making it appropriate for a number of applications. The creation of this sensor has the potential to have a substantial impact on the field of organic sensing and increase the safety of food, medicine, and the environment. The graphene metasurface organic material sensor (GMOMS) was categorized into three types denoted as GMOMS1, GMOMS2, and GMOMS3 based on the specific application of the graphene chemical potential (GCP). In GMOMS1, GCP was applied on both the CSRR and CS surfaces. In GMOMS2, GCP was applied to the CS surface and the surrounding outer region of the CSRR. In GMOMS3, GCP was applied to the CSRR and the surrounding outer region of the CSRR surface. The results show that all three designs exhibit high relative sensitivity, with the maximum values ranging from 227 GHz/RIU achieved by GMOMS1 to 4318 GHz/RIU achieved by GMOMS3. The FOM values achieved for all the designs range from 2.038 RIU achieved by GMOMS2 to 31.52 RIU achieved by GMOMS3, which is considered ideal in this paper.

摘要

在许多领域,如环境监测、食品安全和医疗诊断,识别有机化合物是至关重要的。为了保护环境和人类健康,必须开发出对有机化合物具有极高灵敏度和选择性的传感器。由于其出色的电学、机械和化学特性,二维碳物质石墨烯最近在传感应用中引起了广泛关注。本研究旨在开发一种基于石墨烯的有机材料传感器,用于检测苯酚、乙醇、甲醇、氯仿等有机物质。由于其高的比表面积和与有机分子的强相互作用,石墨烯提高了传感器的性能,而亚表面结构则使得设计高灵敏度和选择性的传感元件成为可能。所提出的传感器在检测广泛的有机分子时具有高度的灵敏度和准确性,适用于许多应用。这种传感器的发明有可能对有机传感领域产生重大影响,提高食品、药品和环境的安全性。石墨烯亚表面有机材料传感器(GMOMS)根据石墨烯化学势(GCP)的具体应用分为三种类型,分别表示为 GMOMS1、GMOMS2 和 GMOMS3。在 GMOMS1 中,GCP 应用于 CSRR 和 CS 表面。在 GMOMS2 中,GCP 应用于 CS 表面和 CSRR 的外围区域。在 GMOMS3 中,GCP 应用于 CSRR 和 CSRR 表面的外围区域。结果表明,所有三种设计都表现出较高的相对灵敏度,最大值范围从 GMOMS1 的 227 GHz/RIU 到 GMOMS3 的 4318 GHz/RIU。所有设计的 FOM 值范围从 GMOMS2 的 2.038 RIU 到 GMOMS3 的 31.52 RIU,这在本文中被认为是理想的。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/31b4/10452360/41dbff1b408a/biosensors-13-00759-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/31b4/10452360/83493299e572/biosensors-13-00759-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/31b4/10452360/1be467d4011a/biosensors-13-00759-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/31b4/10452360/063605e9eb92/biosensors-13-00759-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/31b4/10452360/88db7272d20b/biosensors-13-00759-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/31b4/10452360/d4082b36d93a/biosensors-13-00759-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/31b4/10452360/4f4c0e11c657/biosensors-13-00759-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/31b4/10452360/4f087f74849b/biosensors-13-00759-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/31b4/10452360/41dbff1b408a/biosensors-13-00759-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/31b4/10452360/83493299e572/biosensors-13-00759-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/31b4/10452360/1be467d4011a/biosensors-13-00759-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/31b4/10452360/063605e9eb92/biosensors-13-00759-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/31b4/10452360/88db7272d20b/biosensors-13-00759-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/31b4/10452360/d4082b36d93a/biosensors-13-00759-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/31b4/10452360/4f4c0e11c657/biosensors-13-00759-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/31b4/10452360/4f087f74849b/biosensors-13-00759-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/31b4/10452360/41dbff1b408a/biosensors-13-00759-g008.jpg

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