Present and Future of Emerging Catalysts in Gas Sensors for Breath Analysis

IF 8.2 1区 化学 Q1 CHEMISTRY, ANALYTICAL ACS Sensors Pub Date : 2024-11-25 DOI:10.1021/acssensors.4c02464
Jong Won Baek, Euichul Shin, Jinho Lee, Dong-Ha Kim, Seon-Jin Choi, Il-Doo Kim
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Abstract

To rationalize the noninvasive disease diagnosis by breath analysis, developing a high-performance gas sensor with exceptional sensitivity and selectivity is important to detect trace biomarkers in complex exhaled breath under harsh conditions. Among the various technological innovations, catalyst design and synthesis techniques are the foremost challenges, because gas sensing properties are predominantly determined by surface chemical reactions governed by catalytic activities. Conventional nanoparticle-based catalysts, with their simple structural features, have technical limitations in achieving the requirement for accurate breath analysis. Innovative strategies have been pursued to synthesize unconventional catalyst types with enhanced catalytic capabilities. This Perspective provides a comprehensive overview of recent advancements in catalyst technology for chemiresistive-type gas sensors used in breath analysis. It discusses various emerging catalysts, such as doping catalysts, single-atom catalysts (SACs), bimetallic alloy catalysts, high-entropy alloy (HEA) catalysts, exsolution catalysts, and catalytic filter membranes, along with their unique chemical activation mechanisms that enhance gas sensing properties for detecting target biomarkers in exhaled breath. The review also explores novel strategies for catalyst design, including computational prediction, advanced synthesis techniques, and the integration of sensor arrays with artificial intelligence (AI) to improve diagnostic reliability. By highlighting the crucial role of these emerging catalysts, this review provides valuable insights into the catalytic, synthetic, and analytical aspects that are essential for advancing breath analysis technology.

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用于呼吸分析的气体传感器中新兴催化剂的现状与未来
为了合理利用呼气分析进行无创疾病诊断,开发一种具有超高灵敏度和选择性的高性能气体传感器对于在恶劣条件下检测复杂呼气中的痕量生物标记物非常重要。在各种技术创新中,催化剂设计和合成技术是最主要的挑战,因为气体传感特性主要是由催化活性支配的表面化学反应决定的。传统的纳米颗粒催化剂结构简单,在技术上存在局限性,难以满足精确呼气分析的要求。为了合成具有更强催化能力的非常规催化剂类型,人们一直在寻求创新策略。本视角全面概述了用于呼气分析的化学电阻式气体传感器催化剂技术的最新进展。它讨论了各种新兴催化剂,如掺杂催化剂、单原子催化剂 (SAC)、双金属合金催化剂、高熵合金催化剂 (HEA)、外溶催化剂和催化过滤膜,以及它们独特的化学激活机制,这些机制可增强气体传感性能,从而检测呼出气体中的目标生物标记物。综述还探讨了催化剂设计的新策略,包括计算预测、先进的合成技术,以及将传感器阵列与人工智能(AI)相结合以提高诊断可靠性。通过强调这些新兴催化剂的关键作用,本综述提供了对催化、合成和分析方面的宝贵见解,这些方面对于推动呼气分析技术的发展至关重要。
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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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