Smartphone-based electrochemical sensor for assessing COVID-19 infected patients

被引:6
作者
Babu, R. Ganesh [1 ]
Balaji, A. [2 ]
Kumar, K. Kavin [3 ]
Maurya, Sudhanshu [4 ]
Kumar, M. N. Saravana [5 ]
机构
[1] SRM TRP Engn Coll, Dept Elect & Commun Engn, Tiruchirappalli, India
[2] Rajalakshmi Inst Technol, Dept Elect & Commun Engn, Chennai, Tamil Nadu, India
[3] Kongu Engn Coll, Dept Elect & Commun Engn, Erode, India
[4] Graph Era Hill Univ, Sch Comp, Bhimtal Campus, Bhimtal, Uttarakhand, India
[5] Erode Sengunthar Engn Coll, Dept Elect & Instrumentat Engn, Erode, India
关键词
Smartphone; Internet of Things; COVID-19; Electrochemical sensor; Medical application;
D O I
10.1108/IJPCC-10-2020-0169
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Purpose The purpose of the study is to highlight the potential of the sensor based smartphone in assessing the covid-19 cases. Coronavirus disease 2019 (COVID-19) is a noxious pandemic affecting the respiratory system of the human and leading to the severe acute respiratory syndrome, sometimes causing death. COVID-19 is a highly transmittable disease that spreads from an infected person to others. In this regard, a smart device is required to monitor the COVID-19 infected patients by which widespread pandemic can be reduced. Design/methodology/approach In this paper, an electrochemical sensor-enabled smartphone has been developed to assess the COVID-19 infected patients. The data-enabled smartphone uses the Internet of Things (IoT) to share the details with the other devices. The electrochemical sensor enables the smartphone to evaluate the ribonucleic acid (RNA) of COVID-19 without the nucleic acid and feeds the data into the data server by using a smartphone. Findings The obtained result identifies the infected person by using the portable electrochemical sensor-enabled smartphone, and the data is feed into the data server using the IoT. Whenever an infected person moves outside the restricted zone, the data server gives information to the concerned department. Originality/value The developed electrochemical sensor-enabled smartphone gives an accuracy of 81% in assessing the COVID-19 cases. Thus, through the developed approach, a COVID-19 infected person can be identified and the spread can be minimized.
引用
收藏
页码:563 / 572
页数:10
相关论文
共 17 条
[1]   Electrochemical sensors [J].
Bakker, E ;
Telting-Diaz, M .
ANALYTICAL CHEMISTRY, 2002, 74 (12) :2781-2800
[2]   Coronavirus in China [J].
Burki, Talha Khan .
LANCET RESPIRATORY MEDICINE, 2020, 8 (03) :238-238
[3]   Review of plasmonic fiber optic biochemical sensors: improving the limit of detection [J].
Caucheteur, Christophe ;
Guo, Tuan ;
Albert, Jacques .
ANALYTICAL AND BIOANALYTICAL CHEMISTRY, 2015, 407 (14) :3883-3897
[4]   A familial cluster of pneumonia associated with the 2019 novel coronavirus indicating person-to-person transmission: a study of a family cluster [J].
Chan, Jasper Fuk-Woo ;
Yuan, Shuofeng ;
Kok, Kin-Hang ;
To, Kelvin Kai-Wang ;
Chu, Hin ;
Yang, Jin ;
Xing, Fanfan ;
Liu, Jieling ;
Yip, Cyril Chik-Yan ;
Poon, Rosana Wing-Shan ;
Tsoi, Hoi-Wah ;
Lo, Simon Kam-Fai ;
Chan, Kwok-Hung ;
Poon, Vincent Kwok-Man ;
Chan, Wan-Mui ;
Ip, Jonathan Daniel ;
Cai, Jian-Piao ;
Cheng, Vincent Chi-Chung ;
Chen, Honglin ;
Hui, Christopher Kim-Ming ;
Yuen, Kwok-Yung .
LANCET, 2020, 395 (10223) :514-523
[5]   Recent Advances in Biosensing With Photonic Crystal Surfaces: A Review [J].
Cunningham, Brian T. ;
Zhang, Meng ;
Zhuo, Yue ;
Kwon, Lydia ;
Race, Caitlin .
IEEE SENSORS JOURNAL, 2016, 16 (10) :3349-3366
[6]   COVID-19 in Northern Italy: An integrative overview of factors possibly influencing the sharp increase of the outbreak [J].
Goumenou, Marina ;
Sarigiannis, Dimosthenis ;
Tsatsakis, Aristidis ;
Anesti, Ourania ;
Docea, Anca Oana ;
Petrakis, Dimitrios ;
Tsoukalas, Dimitris ;
Kostoff, Ronald ;
Rakitskii, Valeri ;
Spandidos, Demetrios A. ;
Aschner, Michael ;
Calina, Daniela .
MOLECULAR MEDICINE REPORTS, 2020, 22 (01) :20-32
[7]   Analysis of factors associated with disease outcomes in hospitalized patients with 2019 novel coronavirus disease [J].
Liu Wei ;
Tao Zhao-Wu ;
Wang Lei ;
Yuan Ming-Li ;
Liu Kui ;
Zhou Ling ;
Wei Shuang ;
Deng Yan ;
Liu Jing ;
Liu Hui-Guo ;
Yang Ming ;
Hu Yi .
CHINESE MEDICAL JOURNAL, 2020, 133 (09) :1032-1038
[8]   COVID-19: consider cytokine storm syndromes and immunosuppression [J].
Mehta, Puja ;
McAuley, Daniel F. ;
Brown, Michael ;
Sanchez, Emilie ;
Tattersall, Rachel S. ;
Manson, Jessica J. .
LANCET, 2020, 395 (10229) :1033-1034
[9]   Nano-optofluidic Detection of Single Viruses and Nanoparticles [J].
Mitra, Anirban ;
Deutsch, Bradley ;
Ignatovich, Filipp ;
Dykes, Carrie ;
Novotny, Lukas .
ACS NANO, 2010, 4 (03) :1305-1312
[10]   Rapid Detection of COVID-19 Causative Virus (SARS-CoV-2) in Human Nasopharyngeal Swab Specimens Using Field-Effect Transistor-Based Biosensor [J].
Seo, Giwan ;
Lee, Geonhee ;
Kim, Mi Jeong ;
Baek, Seung-Hwa ;
Choi, Minsuk ;
Ku, Keun Bon ;
Lee, Chang-Seop ;
Jun, Sangmi ;
Park, Daeui ;
Kim, Hong Gi ;
Kim, Seong-Jun ;
Lee, Jeong-O ;
Kim, Bum Tae ;
Park, Edmond Changkyun ;
Kim, Seung Il .
ACS NANO, 2020, 14 (04) :5135-5142