DataVXACS NanoPaper
journal article·2020-09-22Open access

Multiplexed Nanomaterial-Based Sensor Array for Detection of COVID-19 in Exhaled Breath

Benjie Shan, Yoav Y. Broza, Wenjuan Li, Yong Wang, Sihan Wu, Zhengzheng Liu, Jiong Wang, Shuyu Gui, Lin Wang, Zhihong Zhang, Wei Liu, Shoubing Zhou, Wei Jin, Qianyu Zhang, Dandan Hu, Lin Lin, Qiujun Zhang, Wenyu Li, Jinquan Wang, Hu Liu, Yueyin Pan, Hossam Haick

ACS Nano· Volume 14· Issue 9
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Source abstract

Abstract

This article reports on a noninvasive approach in detecting and following-up individuals who are at-risk or have an existing COVID-19 infection, with a potential ability to serve as an epidemic control tool. The proposed method uses a developed breath device composed of a nanomaterial-based hybrid sensor array with multiplexed detection capabilities that can detect disease-specific biomarkers from exhaled breath, thus enabling rapid and accurate diagnosis. An exploratory clinical study with this approach was examined in Wuhan, China, during March 2020. The study cohort included 49 confirmed COVID-19 patients, 58 healthy controls, and 33 non-COVID lung infection controls. When applicable, positive COVID-19 patients were sampled twice: during the active disease and after recovery. Discriminant analysis of the obtained signals from the nanomaterial-based sensors achieved very good test discriminations between the different groups. The training and test set data exhibited respectively 94% and 76% accuracy in differentiating patients from controls as well as 90% and 95% accuracy in differentiating between patients with COVID-19 and patients with other lung infections. While further validation studies are needed, the results may serve as a base for technology that would lead to a reduction in the number of unneeded confirmatory tests and lower the burden on hospitals, while allowing individuals a screening solution that can be performed in PoC facilities. The proposed method can be considered as a platform that could be applied for any other disease infection with proper modifications to the artificial intelligence and would therefore be available to serve as a diagnostic tool in case of a new disease outbreak.
Source: openalex_inverted_index · Quality: baseline

Research context

Nanomaterials

OpenAlex topics: SARS-CoV-2 detection and testing · Biosensors and Analytical Detection · COVID-19 diagnosis using AI

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Department of Tumor Biotherapy (5th Ward of the Department of Oncology), Anhui Provincial Cancer Hospital, West District of The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, 230031, Hefei, Anhui Province, People’s Republic of China

Department of Oncology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, 230001, Hefei, Anhui Province, People’s Republic of China

Department of Chemical Engineering and Russell Berrie Nanotechnology Institute, Technion−Israel Institute of Technology, 3200003, Haifa, Israel

Department of Respiratory Disease, The First Affiliated Hospital of Anhui Medical University, 230022, Hefei, Anhui Province, People’s Republic of China

Department of Hematology, The First Affiliated Hospital of Anhui Medical University, 230022, Hefei, Anhui Province, People’s Republic of China

Department of Respiratory Disease, Anhui Provincial Cancer Hospital, West District of The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, 230031, Hefei, Anhui Province, People’s Republic of China

Department of Respiratory Disease, Anhui Provincial Chest Hospital, 230000, Hefei, Anhui Province, People’s Republic of China

Department of Geriatrics, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, 230001, Hefei, Anhui Province, People’s Republic of China

Funding

Technion-Israel Institute of Technology

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