Multiplexed Nanomaterial-Based Sensor Array for Detection of COVID-19 in Exhaled Breath
Multiplexed Nanomaterial-Based Sensor Array for Detection of COVID-19 in Exhaled Breath
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DOI：
10.1021/acsnano.0c05657
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发表时间：
2020-09-22
期刊：
影响因子：
17.1
通讯作者：
Haick, Hossam
中科院分区：
文献类型：
--
作者：
Shan, Benjie;Broza, Yoav Y.;Haick, Hossam
本文报告了一种非侵入性方法，用于检测和随访处于风险中或已感染COVID-19的个体，具有作为流行病控制工具的潜在能力。所提出的方法使用一种开发的呼吸装置，该装置由基于纳米材料的混合传感器阵列组成，具有多重检测能力，可以从呼出气体中检测疾病特异性生物标志物，从而实现快速准确的诊断。2020年3月，在中国武汉进行了一项采用该方法的探索性临床研究。研究队列包括49名确诊的COVID-19患者，58名健康对照和33名非COVID肺部感染对照。在适用的情况下，对COVID-19阳性患者进行两次采样：在疾病活动期间和康复后。从基于纳米材料的传感器获得的信号的判别分析在不同组之间实现了非常好的测试区分。训练集和测试集数据在区分患者与对照组方面的准确率分别为94%和76%，在区分COVID-19患者与其他肺部感染患者方面的准确率分别为90%和95%。虽然还需要进一步的验证研究，但这些结果可以作为技术的基础，减少不必要的确认性测试的数量，减轻医院的负担，同时允许个人在医疗机构进行筛查。所提出的方法可以被认为是一个平台，可以应用于任何其他疾病感染，并对人工智能进行适当的修改，因此可以在新的疾病爆发时用作诊断工具。
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.