嵌入口罩的一次性传感器阵列用于慢性肾脏疾病的识别。

IF 9.1 1区 化学 Q1 CHEMISTRY, ANALYTICAL
Rosamaria Capuano, Valerio Allegra, Alexandro Catini, Gabriele Magna, Manuela Di Lauro, Giulia Marrone, Antonio Agresti, Sara Pescetelli, Massimo Pieri, Roberto Paolesse, Sergio Bernardini, Annalisa Noce and Corrado Di Natale*, 
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引用次数: 0

摘要

慢性肾脏疾病(CKD)的全球负担日益增加,需要开发简单和廉价的诊断工具。利用呼吸成分和CKD之间的关系,我们介绍了一个由四个电阻式气体传感器组成的一次性阵列,印刷在低成本的一次性基板上,并嵌入FFP2面罩的内层。传感器基于卟啉(一种常用于呼吸分析的分子家族)和PEDOT/PSS导电聚合物的混合物。单个传感器对氨和其他ckd相关的挥发性化合物表现出显著的敏感性,而传感器阵列的组合选择性使得识别挥发性化合物无论其浓度如何。该设备的诊断能力在CKD患者队列和对照组中进行了测试。为了解决口罩内缺乏参考气体的问题,我们开发了一种基于不同速率呼吸周期的测量方案。连续小波变换对传感器信号的应用产生稳定和可重复的特征。传感器特征线性判别分析对CKD患者的鉴别率为93.3%真阳性,86.7%真阴性。其他证据表明,传感器阵列可以根据肾功能障碍的严重程度对CKD患者进行分层,这表明其在监测疾病进展方面的潜在应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Disposable Sensor Array Embedded in Facemasks for the Identification of Chronic Kidney Disease

The increasing global burden of chronic kidney disease (CKD) necessitates the development of simple and inexpensive diagnostic tools. Capitalizing on the relationship between breath composition and CKD, we introduce a disposable array of four resistive gas sensors printed on a low-cost, disposable substrate and embedded in the internal layers of FFP2 facemasks. Sensors are based on blends of porphyrins─a molecular family often used in breath analysis─and the PEDOT/PSS conducting polymer. The individual sensors demonstrate remarkable sensitivity to ammonia and other CKD-related volatile compounds, while the combinatorial selectivity of the sensor array enables the identification of volatile compounds regardless of their concentration. The diagnostic capabilities of the device were tested on a cohort of CKD patients and a control group. To address the absence of a reference gas inside the facemask, we developed a measurement protocol based on breathing cycles at different rates. The application of a continuous wavelet transform to the sensor signals produces stable and reproducible features. Linear Discriminant Analysis of sensor features achieved the identification of CKD patients with 93.3% true positives and 86.7% true negatives. Additional evidence suggests that the sensor array can stratify CKD patients according to the severity of renal dysfunction, indicating its potential use in monitoring disease progression.

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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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