We demonstrate the selective detection of hydrogen sulfide at breath concentration levels under humid airflow, using a self-validating 64-channel sensor array based on semiconducting single-walled carbon nanotubes (sc-SWCNTs). The reproducible sensor fabrication process is based on a multiplexed and controlled dielectrophoretic deposition of sc-SWCNTs. The sensing area is functionalized with gold nanoparticles to address the detection at room temperature by exploiting the affinity between gold and sulfur atoms of the gas. Sensing devices functionalized with an optimized distribution of nanoparticles show a sensitivity of 0.122%/part per billion (ppb) and a calculated limit of detection (LOD) of 3 ppb. Beyond the self-validation, our sensors show increased stability and higher response levels compared to some commercially available electrochemical sensors. The cross-sensitivity to breath gases NH₃ and NO is addressed demonstrating the high selectivity to H₂S. Finally, mathematical models of sensors’ electrical characteristics and sensing responses are developed to enhance the differentiation capabilities of the platform to be used in breath analysis applications.

我们使用基于半导体单壁碳纳米管 (sc-SWCNT) 的自我验证 64 通道传感器阵列展示了在潮湿气流下的呼吸浓度水平下选择性检测硫化氢。可重现的传感器制造过程基于 sc-SWCNT 的多路复用和受控介电泳沉积。传感区域用金纳米粒子功能化，通过利用气体中金和硫原子之间的亲和力来解决室温下的检测问题。使用优化的纳米粒子分布功能化的传感设备显示出 0.122%/十亿分之一 (ppb) 的灵敏度和 3 ppb 的计算检测限 (LOD)。超越自我验证，与一些市售的电化学传感器相比，我们的传感器显示出更高的稳定性和更高的响应水平。对呼吸气体 NH 的交叉敏感性₃和 NO 被解决，展示了对 H ₂ S 的高选择性。最后，开发了传感器电特性和传感响应的数学模型，以增强用于呼吸分析应用的平台的区分能力。