Université Paris-Saclay, CEA, LIST, F-91120 Palaiseau, France.
Département Médicaments et Technologies pour la Santé (DMTS), Université Paris-Saclay, CEA, INRAE, MetaboHUB, 91191 Gif-sur-Yvette, France.
J Breath Res. 2023 Feb 16;17(2). doi: 10.1088/1752-7163/acb9b2.
Early, rapid and non-invasive diagnosis of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection is needed for the prevention and control of coronavirus disease 2019 (COVID-19). COVID-19 mainly affects the respiratory tract and lungs. Therefore, analysis of exhaled breath could be an alternative scalable method for reliable SARS-CoV-2 screening. In the current study, an experimental protocol using an electronic-nose ('e-nose') for attempting to identify a specific respiratory imprint in COVID-19 patients was optimized. Thus the analytical performances of the Cyranose, a commercial e-nose device, were characterized under various controlled conditions. In addition, the effect of various experimental conditions on its sensor array response was assessed, including relative humidity, sampling time and flow rate, aiming to select the optimal parameters. A statistical data analysis was applied to e-nose sensor response using common statistical analysis algorithms in an attempt to demonstrate the possibility to detect the presence of low concentrations of spiked acetone and nonanal in the breath samples of a healthy volunteer. Cyranosereveals a possible detection of low concentrations of these two compounds, in particular of 25 ppm nonanal, a possible marker of SARS-CoV-2 in the breath.
早期、快速、非侵入性诊断严重急性呼吸综合征冠状病毒 2（SARS-CoV-2）感染对于预防和控制 2019 年冠状病毒病（COVID-19）至关重要。COVID-19 主要影响呼吸道和肺部。因此，呼气分析可能是一种可靠的 SARS-CoV-2 筛查的替代可扩展方法。在本研究中，优化了一种使用电子鼻（“电子鼻”）尝试识别 COVID-19 患者特定呼吸印记的实验方案。因此，对商业电子鼻设备 Cyranose 的分析性能在各种受控条件下进行了表征。此外，评估了各种实验条件对其传感器阵列响应的影响，包括相对湿度、采样时间和流速，旨在选择最佳参数。使用常见的统计分析算法对电子鼻传感器响应进行了统计数据分析，试图证明在健康志愿者的呼气样本中检测低浓度掺假丙酮和壬醛的可能性。Cyranos 显示出可能检测到这两种化合物的低浓度，特别是 25 ppm 壬醛，这可能是 COVID-19 患者呼气中的 SARS-CoV-2 标志物。
