National Institute of Advanced Industrial Science and Technology (AIST), 2266-98 Anagahora, Shimoshidami, Moriyama, Nagoya, 463-8560, Japan.
Sci Rep. 2022 Aug 25;12(1):13874. doi: 10.1038/s41598-022-18117-8.
Mental stress management has become significantly important because excessive and sustained mental stress can damage human health. In recent years, various biomarkers associated with mental stress have been identified. One such biomarker is allyl mercaptan. A nanosheet-type tin oxide exhibited high gas selectivity for allyl mercaptan; thus, in this study, a sensor array comprising nanosheet-type tin oxide gas sensors was fabricated to detecting allyl mercaptan. Supervised learning algorithms were use to build gas classification models based on the principal component analysis of the sensor signal responses from the sensor array. The comprehensive data provided by the classification models can be used to forecast allyl mercaptan with high accuracy.
精神压力管理变得非常重要,因为过度和持续的精神压力会损害人类健康。近年来,已经确定了各种与精神压力相关的生物标志物。其中一种生物标志物是烯丙基硫醇。纳米片型氧化锡对烯丙基硫醇表现出高气体选择性;因此,在这项研究中,制备了一个由纳米片型氧化锡气体传感器组成的传感器阵列来检测烯丙基硫醇。使用监督学习算法基于传感器阵列的传感器信号响应的主成分分析来构建气体分类模型。分类模型提供的综合数据可用于高精度预测烯丙基硫醇。