Infrared Spectroscopic Electronic Noses: An Innovative Approach for Exhaled Breath Sensing

IF 9.1 1区 化学 Q1 CHEMISTRY, ANALYTICAL ACS Sensors Pub Date : 2025-01-08 DOI:10.1021/acssensors.4c02725
Johannes Glöckler, Jan Mitrovics, Sara Beeken, Marcis Leja, Tesfalem Welearegay, Lars Österlund, Hossam Haick, Gidi Shani, Corrado Di Natale, Raúl Murillo, Gabriela Flores-Rangel, Francisco Bricio-Arzubide, Raul Pinilla, Rómulo Vargas, Carlos Saboya, Boris Mizaikoff, Lorena Díaz de León-Martínez
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Abstract

Gastric cancer remains a leading cause of cancer-related mortality, requiring the urgent development of innovative diagnostic tools for early detection. This study presents an integrated infrared spectroscopic electronic nose system, a novel device that combines infrared (IR) spectroscopy and electronic nose (eNose) concepts for analyzing volatile organic compounds (VOCs) in exhaled breath. This system was calibrated using relevant gas mixtures and then tested during a feasibility study involving 26 gastric cancer patients and 32 healthy controls using chemometric analyses to distinguish between exhaled breath profiles. The obtained results demonstrated that the integration of IR spectroscopy and eNose technologies significantly enhanced the accuracy of VOCs fingerprinting via principal component analysis (PCA) and partial least-squares-discriminant analysis (PLS-DA). Distinct differences between the study groups were revealed with an accuracy of prediction of 0.96 in exhaled breath samples. This combined system offers a high sensitivity and specificity and could potetially facilitate rapid on-site testing rendering the technology an accessible option for early screening particularly in underserved populations.

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红外光谱电子鼻:呼气传感的创新方法
胃癌仍然是癌症相关死亡的主要原因,迫切需要开发创新的早期检测诊断工具。本研究提出一种集成红外光谱电子鼻系统,这是一种结合红外(IR)光谱和电子鼻(eNose)概念的新型设备,用于分析呼出气体中的挥发性有机化合物(VOCs)。该系统使用相关气体混合物进行校准,然后在一项可行性研究中进行测试,该研究涉及26名胃癌患者和32名健康对照者,使用化学计量学分析来区分呼出的气息特征。结果表明,红外光谱与eNose技术的结合显著提高了主成分分析(PCA)和偏最小二乘判别分析(PLS-DA)的VOCs指纹识别精度。研究组之间的明显差异被揭示出来,呼气样本的预测准确率为0.96。这种组合系统提供了高灵敏度和特异性,并可能促进快速现场检测,使该技术成为早期筛查的一种可获得的选择,特别是在服务不足的人群中。
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来源期刊
ACS Sensors
ACS Sensors Chemical Engineering-Bioengineering
CiteScore
14.50
自引率
3.40%
发文量
372
期刊介绍: ACS Sensors is a peer-reviewed research journal that focuses on the dissemination of new and original knowledge in the field of sensor science, particularly those that selectively sense chemical or biological species or processes. The journal covers a broad range of topics, including but not limited to biosensors, chemical sensors, gas sensors, intracellular sensors, single molecule sensors, cell chips, and microfluidic devices. It aims to publish articles that address conceptual advances in sensing technology applicable to various types of analytes or application papers that report on the use of existing sensing concepts in new ways or for new analytes.
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