Wireless, battery-free, multifunctional integrated bioelectronics for respiratory pathogens monitoring and severity evaluation

Hu Li; Huarui Gong; Tsz Hung Wong; Jingkun Zhou; Yuqiong Wang; Long Lin; Ying Dou; Huiling Jia; Xingcan Huang; Zhan Gao; Rui Shi; Ya Huang; Zhenlin Chen; Wooyoung Park; Ji Yu Li; Hongwei Chu; Shengxin Jia; Han Wu; Mengge Wu; Yiming Liu; Dengfeng Li; Jian Li; Guoqiang Xu; Tianrui Chang; Binbin Zhang; Yuyu Gao; Jingyou Su; Hao Bai; Jie Hu; Chun Ki Yiu; Chenjie Xu; Wenchuang Hu; Jiandong Huang; Lingqian Chang; Xinge Yu

doi:10.1038/s41467-023-43189-z

Wireless, battery-free, multifunctional integrated bioelectronics for respiratory pathogens monitoring and severity evaluation

Hu Li
, Huarui Gong
, Tsz Hung Wong
, Jingkun Zhou
, Yuqiong Wang
, Long Lin
, Ying Dou
, Huiling Jia
, Xingcan Huang
, Zhan Gao
, Rui Shi
, Ya Huang
, Zhenlin Chen
, Wooyoung Park
, Ji Yu Li
, Hongwei Chu
, Shengxin Jia
, Han Wu
, Mengge Wu
, Yiming Liu

Dengfeng Li, Jian Li, Guoqiang Xu, Tianrui Chang, Binbin Zhang, Yuyu Gao, Jingyou Su, Hao Bai, Jie Hu, Chun Ki Yiu, Chenjie Xu, Wenchuang Hu^*, Jiandong Huang^*, Lingqian Chang^*, Xinge Yu^*

^*Corresponding author for this work

School of Engineering Medicine

City University of Hong Kong
Beihang University
Shenzhen Institute of Advanced Technology
The University of Hong Kong
Hong Kong Centre for Cerebro-Cardiovascular Health Engineering
Peking University
Sichuan University
Department of Orthopaedics and Traumatology, University of Hong Kong-Shenzhen Hospital, University of Hong Kong
Sun Yat-Sen University
Anhui Medical University

Research output: Contribution to journal › Article › peer-review

56 Scopus citations

Abstract

The rapid diagnosis of respiratory virus infection through breath and blow remains challenging. Here we develop a wireless, battery-free, multifunctional pathogenic infection diagnosis system (PIDS) for diagnosing SARS-CoV-2 infection and symptom severity by blow and breath within 110 s and 350 s, respectively. The accuracies reach to 100% and 92% for evaluating the infection and symptom severity of 42 participants, respectively. PIDS realizes simultaneous gaseous sample collection, biomarker identification, abnormal physical signs recording and machine learning analysis. We transform PIDS into other miniaturized wearable or portable electronic platforms that may widen the diagnostic modes at home, outdoors and public places. Collectively, we demonstrate a general-purpose technology for rapidly diagnosing respiratory pathogenic infection by breath and blow, alleviating the technical bottleneck of saliva and nasopharyngeal secretions. PIDS may serve as a complementary diagnostic tool for other point-of-care techniques and guide the symptomatic treatment of viral infections.

Original language	English
Article number	7539
Journal	Nature Communications
Volume	14
Issue number	1
DOIs	https://doi.org/10.1038/s41467-023-43189-z
State	Published - Dec 2023

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Li, H., Gong, H., Wong, T. H., Zhou, J., Wang, Y., Lin, L., Dou, Y., Jia, H., Huang, X., Gao, Z., Shi, R., Huang, Y., Chen, Z., Park, W., Li, J. Y., Chu, H., Jia, S., Wu, H., Wu, M., ... Yu, X. (2023). Wireless, battery-free, multifunctional integrated bioelectronics for respiratory pathogens monitoring and severity evaluation. Nature Communications, 14(1), Article 7539. https://doi.org/10.1038/s41467-023-43189-z

@article{5aceaf447f794040a39f6e1e341946c6,

title = "Wireless, battery-free, multifunctional integrated bioelectronics for respiratory pathogens monitoring and severity evaluation",

abstract = "The rapid diagnosis of respiratory virus infection through breath and blow remains challenging. Here we develop a wireless, battery-free, multifunctional pathogenic infection diagnosis system (PIDS) for diagnosing SARS-CoV-2 infection and symptom severity by blow and breath within 110 s and 350 s, respectively. The accuracies reach to 100\% and 92\% for evaluating the infection and symptom severity of 42 participants, respectively. PIDS realizes simultaneous gaseous sample collection, biomarker identification, abnormal physical signs recording and machine learning analysis. We transform PIDS into other miniaturized wearable or portable electronic platforms that may widen the diagnostic modes at home, outdoors and public places. Collectively, we demonstrate a general-purpose technology for rapidly diagnosing respiratory pathogenic infection by breath and blow, alleviating the technical bottleneck of saliva and nasopharyngeal secretions. PIDS may serve as a complementary diagnostic tool for other point-of-care techniques and guide the symptomatic treatment of viral infections.",

author = "Hu Li and Huarui Gong and Wong, \{Tsz Hung\} and Jingkun Zhou and Yuqiong Wang and Long Lin and Ying Dou and Huiling Jia and Xingcan Huang and Zhan Gao and Rui Shi and Ya Huang and Zhenlin Chen and Wooyoung Park and Li, \{Ji Yu\} and Hongwei Chu and Shengxin Jia and Han Wu and Mengge Wu and Yiming Liu and Dengfeng Li and Jian Li and Guoqiang Xu and Tianrui Chang and Binbin Zhang and Yuyu Gao and Jingyou Su and Hao Bai and Jie Hu and Yiu, \{Chun Ki\} and Chenjie Xu and Wenchuang Hu and Jiandong Huang and Lingqian Chang and Xinge Yu",

note = "Publisher Copyright: {\textcopyright} 2023, The Author(s).",

year = "2023",

month = dec,

doi = "10.1038/s41467-023-43189-z",

language = "英语",

volume = "14",

journal = "Nature Communications",

issn = "2041-1723",

publisher = "Nature Research",

number = "1",

}

Li, H, Gong, H, Wong, TH, Zhou, J, Wang, Y, Lin, L, Dou, Y, Jia, H, Huang, X, Gao, Z, Shi, R, Huang, Y, Chen, Z, Park, W, Li, JY, Chu, H, Jia, S, Wu, H, Wu, M, Liu, Y, Li, D, Li, J, Xu, G, Chang, T, Zhang, B, Gao, Y, Su, J, Bai, H, Hu, J, Yiu, CK, Xu, C, Hu, W, Huang, J, Chang, L & Yu, X 2023, 'Wireless, battery-free, multifunctional integrated bioelectronics for respiratory pathogens monitoring and severity evaluation', Nature Communications, vol. 14, no. 1, 7539. https://doi.org/10.1038/s41467-023-43189-z

TY - JOUR

T1 - Wireless, battery-free, multifunctional integrated bioelectronics for respiratory pathogens monitoring and severity evaluation

AU - Li, Hu

AU - Gong, Huarui

AU - Wong, Tsz Hung

AU - Zhou, Jingkun

AU - Wang, Yuqiong

AU - Lin, Long

AU - Dou, Ying

AU - Jia, Huiling

AU - Huang, Xingcan

AU - Gao, Zhan

AU - Shi, Rui

AU - Huang, Ya

AU - Chen, Zhenlin

AU - Park, Wooyoung

AU - Li, Ji Yu

AU - Chu, Hongwei

AU - Jia, Shengxin

AU - Wu, Han

AU - Wu, Mengge

AU - Liu, Yiming

AU - Li, Dengfeng

AU - Li, Jian

AU - Xu, Guoqiang

AU - Chang, Tianrui

AU - Zhang, Binbin

AU - Gao, Yuyu

AU - Su, Jingyou

AU - Bai, Hao

AU - Hu, Jie

AU - Yiu, Chun Ki

AU - Xu, Chenjie

AU - Hu, Wenchuang

AU - Huang, Jiandong

AU - Chang, Lingqian

AU - Yu, Xinge

PY - 2023/12

Y1 - 2023/12

N2 - The rapid diagnosis of respiratory virus infection through breath and blow remains challenging. Here we develop a wireless, battery-free, multifunctional pathogenic infection diagnosis system (PIDS) for diagnosing SARS-CoV-2 infection and symptom severity by blow and breath within 110 s and 350 s, respectively. The accuracies reach to 100% and 92% for evaluating the infection and symptom severity of 42 participants, respectively. PIDS realizes simultaneous gaseous sample collection, biomarker identification, abnormal physical signs recording and machine learning analysis. We transform PIDS into other miniaturized wearable or portable electronic platforms that may widen the diagnostic modes at home, outdoors and public places. Collectively, we demonstrate a general-purpose technology for rapidly diagnosing respiratory pathogenic infection by breath and blow, alleviating the technical bottleneck of saliva and nasopharyngeal secretions. PIDS may serve as a complementary diagnostic tool for other point-of-care techniques and guide the symptomatic treatment of viral infections.

AB - The rapid diagnosis of respiratory virus infection through breath and blow remains challenging. Here we develop a wireless, battery-free, multifunctional pathogenic infection diagnosis system (PIDS) for diagnosing SARS-CoV-2 infection and symptom severity by blow and breath within 110 s and 350 s, respectively. The accuracies reach to 100% and 92% for evaluating the infection and symptom severity of 42 participants, respectively. PIDS realizes simultaneous gaseous sample collection, biomarker identification, abnormal physical signs recording and machine learning analysis. We transform PIDS into other miniaturized wearable or portable electronic platforms that may widen the diagnostic modes at home, outdoors and public places. Collectively, we demonstrate a general-purpose technology for rapidly diagnosing respiratory pathogenic infection by breath and blow, alleviating the technical bottleneck of saliva and nasopharyngeal secretions. PIDS may serve as a complementary diagnostic tool for other point-of-care techniques and guide the symptomatic treatment of viral infections.

UR - https://www.scopus.com/pages/publications/85177170055

U2 - 10.1038/s41467-023-43189-z

DO - 10.1038/s41467-023-43189-z

M3 - 文章

C2 - 37985765

AN - SCOPUS:85177170055

SN - 2041-1723

VL - 14

JO - Nature Communications

JF - Nature Communications

IS - 1

M1 - 7539

ER -

Wireless, battery-free, multifunctional integrated bioelectronics for respiratory pathogens monitoring and severity evaluation

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