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Title: Noninvasive and point-of-care surface-enhanced Raman scattering (SERS)-based breathalyzer for mass screening of coronavirus disease 2019 (COVID-19) under 5 min
Authors: Leong, Shi Xuan
Leong, Yong Xiang
Tan, Emily Xi
Sim, Howard Yi Fan
Koh, Charlynn Sher Lin
Lee, Yih Hong
Chong, Carice
Ng, Li Shiuan
Chen, Jaslyn Ru Ting
Pang, Desmond Wei Cheng
Nguyen, Lam Bang Thanh
Boong, Siew Kheng
Han, Xuemei
Kao, Ya-Chuan
Chua, Yi Heng
Phan-Quang, Gia Chuong
Phang, In Yee
Lee, Hiang Kwee
Abdad, Mohammad Yazid
Tan, Nguan Soon
Ling, Xing Yi
Keywords: Science::Medicine
Issue Date: 2022
Source: Leong, S. X., Leong, Y. X., Tan, E. X., Sim, H. Y. F., Koh, C. S. L., Lee, Y. H., Chong, C., Ng, L. S., Chen, J. R. T., Pang, D. W. C., Nguyen, L. B. T., Boong, S. K., Han, X., Kao, Y., Chua, Y. H., Phan-Quang, G. C., Phang, I. Y., Lee, H. K., Abdad, M. Y., ...Ling, X. Y. (2022). Noninvasive and point-of-care surface-enhanced Raman scattering (SERS)-based breathalyzer for mass screening of coronavirus disease 2019 (COVID-19) under 5 min. ACS Nano, 16(2), 2629-2639.
Project: MOH-COVID19RF-0007
Journal: ACS Nano
Abstract: Population-wide surveillance of COVID-19 requires tests to be quick and accurate to minimize community transmissions. The detection of breath volatile organic compounds presents a promising option for COVID-19 surveillance but is currently limited by bulky instrumentation and inflexible analysis protocol. Here, we design a hand-held surface-enhanced Raman scattering-based breathalyzer to identify COVID-19 infected individuals in under 5 min, achieving >95% sensitivity and specificity across 501 participants regardless of their displayed symptoms. Our SERS-based breathalyzer harnesses key variations in vibrational fingerprints arising from interactions between breath metabolites and multiple molecular receptors to establish a robust partial least-squares discriminant analysis model for high throughput classifications. Crucially, spectral regions influencing classification show strong corroboration with reported potential COVID-19 breath biomarkers, both through experiment and in silico. Our strategy strives to spur the development of next-generation, noninvasive human breath diagnostic toolkits tailored for mass screening purposes.
ISSN: 1936-0851
DOI: 10.1021/acsnano.1c09371
Schools: Lee Kong Chian School of Medicine (LKCMedicine) 
School of Physical and Mathematical Sciences 
School of Biological Sciences 
Organisations: Silver Factory Technology Pte Ltd, Singapore
Rights: This document is the Accepted Manuscript version of a Published Work that appeared in final form in ACS Nano, copyright © American Chemical Society after peer review and technical editing by the publisher. To access the final edited and published work see
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:LKCMedicine Journal Articles
SBS Journal Articles
SPMS Journal Articles

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