Trends, progress and future directions of nanomaterial based sensors: a bibliometric overview

IF 1.6 4区工程技术 Q3 INSTRUMENTS & INSTRUMENTATION

Sensor Review Pub Date : 2024-04-12 DOI:10.1108/sr-09-2023-0466

Nibu Babu Thomas, Lekshmi P. Kumar, Jiya James, Nibu A. George

{"title":"Trends, progress and future directions of nanomaterial based sensors: a bibliometric overview","authors":"Nibu Babu Thomas, Lekshmi P. Kumar, Jiya James, Nibu A. George","doi":"10.1108/sr-09-2023-0466","DOIUrl":null,"url":null,"abstract":"<h3>Purpose</h3>\n<p>Nanosensors have a wide range of applications because of their high sensitivity, selectivity and specificity. In the past decade, extensive and pervasive research related to nanosensors has led to significant progress in diverse fields, such as biomedicine, environmental monitoring and industrial process control. This led to better and more efficient detection and monitoring of physical and chemical properties at better resolution, opening new horizons in the development of novel technologies and applications for improved human health, environment protection, enhanced industrial processes, etc.</p>\n<h3>Design/methodology/approach</h3>\n<p>In this paper, the authors discuss the application of citation network analysis in the field of nanosensor research and development. Cluster analysis was carried out using papers published in the field of nanomaterial-based sensor research, and an in-depth analysis was carried out to identify significant clusters. The purpose of this study is to provide researchers to identify a pathway to the emerging areas in the field of nanosensor research. The authors have illustrated the knowledge base, knowledge domain and knowledge progression of nanosensor research using the citation analysis based on 3,636 Science Citation Index papers published during the period 2011 to 2021.</p>\n<h3>Findings</h3>\n<p>Among these papers, the bibliographic study identified 809 significant research publications, 11 clusters, 556 research sector keywords, 1,296 main authors, 139 referenced authors, 63 nations, 206 organizations and 42 journals. The authors have identified single quantum dot (QD)-based nanosensor for biological applications, carbon dot-based nanosensors, self-powered triboelectric nanogenerator-based nanosensor and genetically encoded nanosensor as the significant research hotspots that came to the fore in recent years. The future trend in nanosensor research might focus on the development of efficient and cost-effective designs for the detection of numerous environmental pollutants and biological molecules using mesostructured materials and QDs. It is also possible to optimize the detection methods using theoretical models, and generalized gradient approximation has great scope in sensor development.</p>\n<h3>Research limitations/implications</h3>\n<p>The future trend in nanosensor research might focus on the development of efficient and cost-effective designs for the detection of numerous environmental pollutants and biological molecules using mesostructured materials and QDs. It is also possible to optimize the detection methods using theoretical models, and generalized gradient approximation has great scope in sensor development.</p>\n<h3>Originality/value</h3>\n<p>This is a novel bibliometric analysis in the area of “nanomaterial based sensor,” which is carried out in CiteSpace software.</p>","PeriodicalId":49540,"journal":{"name":"Sensor Review","volume":"45 1","pages":""},"PeriodicalIF":1.6000,"publicationDate":"2024-04-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Sensor Review","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1108/sr-09-2023-0466","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"INSTRUMENTS & INSTRUMENTATION","Score":null,"Total":0}

引用次数: 0

Abstract

Purpose

Nanosensors have a wide range of applications because of their high sensitivity, selectivity and specificity. In the past decade, extensive and pervasive research related to nanosensors has led to significant progress in diverse fields, such as biomedicine, environmental monitoring and industrial process control. This led to better and more efficient detection and monitoring of physical and chemical properties at better resolution, opening new horizons in the development of novel technologies and applications for improved human health, environment protection, enhanced industrial processes, etc.

Design/methodology/approach

In this paper, the authors discuss the application of citation network analysis in the field of nanosensor research and development. Cluster analysis was carried out using papers published in the field of nanomaterial-based sensor research, and an in-depth analysis was carried out to identify significant clusters. The purpose of this study is to provide researchers to identify a pathway to the emerging areas in the field of nanosensor research. The authors have illustrated the knowledge base, knowledge domain and knowledge progression of nanosensor research using the citation analysis based on 3,636 Science Citation Index papers published during the period 2011 to 2021.

Findings

Among these papers, the bibliographic study identified 809 significant research publications, 11 clusters, 556 research sector keywords, 1,296 main authors, 139 referenced authors, 63 nations, 206 organizations and 42 journals. The authors have identified single quantum dot (QD)-based nanosensor for biological applications, carbon dot-based nanosensors, self-powered triboelectric nanogenerator-based nanosensor and genetically encoded nanosensor as the significant research hotspots that came to the fore in recent years. The future trend in nanosensor research might focus on the development of efficient and cost-effective designs for the detection of numerous environmental pollutants and biological molecules using mesostructured materials and QDs. It is also possible to optimize the detection methods using theoretical models, and generalized gradient approximation has great scope in sensor development.

Research limitations/implications

The future trend in nanosensor research might focus on the development of efficient and cost-effective designs for the detection of numerous environmental pollutants and biological molecules using mesostructured materials and QDs. It is also possible to optimize the detection methods using theoretical models, and generalized gradient approximation has great scope in sensor development.

Originality/value

This is a novel bibliometric analysis in the area of “nanomaterial based sensor,” which is carried out in CiteSpace software.

查看原文本刊更多论文

基于纳米材料的传感器的趋势、进展和未来方向：文献综述

目的纳米传感器因其高灵敏度、高选择性和高特异性而具有广泛的应用。在过去的十年中，与纳米传感器有关的广泛而深入的研究在生物医学、环境监测和工业过程控制等多个领域取得了重大进展。这使得人们能够以更高的分辨率更好、更高效地检测和监测物理和化学特性，为开发新技术和应用以改善人类健康、保护环境、增强工业流程等开辟了新天地。利用基于纳米材料的传感器研究领域发表的论文进行了聚类分析，并通过深入分析确定了重要的聚类。本研究的目的是为研究人员提供一条通往纳米传感器研究领域新兴领域的途径。在这些论文中，书目研究发现了 809 篇重要研究出版物、11 个集群、556 个研究领域关键词、1,296 位主要作者、139 位被引用作者、63 个国家、206 个组织和 42 种期刊。作者认为，基于单量子点（QD）的生物应用纳米传感器、基于碳点的纳米传感器、基于自供电三电纳米发电机的纳米传感器和基因编码纳米传感器是近年来崭露头角的重要研究热点。纳米传感器研究的未来趋势可能是利用介质结构材料和 QDs 开发高效、经济的设计，用于检测多种环境污染物和生物分子。利用理论模型优化检测方法也是可行的，广义梯度近似在传感器开发中具有很大的应用空间。研究局限/影响纳米传感器研究的未来趋势可能集中在利用介质结构材料和 QDs 开发高效、经济的设计，以检测多种环境污染物和生物分子。利用理论模型优化检测方法也是可行的，广义梯度近似在传感器开发中具有很大的应用空间。原创性/价值这是 "基于纳米材料的传感器 "领域的一项新颖的文献计量分析，该分析是在 CiteSpace 软件中进行的。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Sensor Review 工程技术-仪器仪表

CiteScore

3.40

自引率

6.20%

发文量

审稿时长

3.7 months

期刊介绍： Sensor Review publishes peer reviewed state-of-the-art articles and specially commissioned technology reviews. Each issue of this multidisciplinary journal includes high quality original content covering all aspects of sensors and their applications, and reflecting the most interesting and strategically important research and development activities from around the world. Because of this, readers can stay at the very forefront of high technology sensor developments. Emphasis is placed on detailed independent regular and review articles identifying the full range of sensors currently available for specific applications, as well as highlighting those areas of technology showing great potential for the future. The journal encourages authors to consider the practical and social implications of their articles. All articles undergo a rigorous double-blind peer review process which involves an initial assessment of suitability of an article for the journal followed by sending it to, at least two reviewers in the field if deemed suitable. Sensor Review’s coverage includes, but is not restricted to: Mechanical sensors – position, displacement, proximity, velocity, acceleration, vibration, force, torque, pressure, and flow sensors Electric and magnetic sensors – resistance, inductive, capacitive, piezoelectric, eddy-current, electromagnetic, photoelectric, and thermoelectric sensors Temperature sensors, infrared sensors, humidity sensors Optical, electro-optical and fibre-optic sensors and systems, photonic sensors Biosensors, wearable and implantable sensors and systems, immunosensors Gas and chemical sensors and systems, polymer sensors Acoustic and ultrasonic sensors Haptic sensors and devices Smart and intelligent sensors and systems Nanosensors, NEMS, MEMS, and BioMEMS Quantum sensors Sensor systems: sensor data fusion, signals, processing and interfacing, signal conditioning.