Discrimination of volatile organic compounds using a sensor array via a rapid method based on linear discriminant analysis
Discrimination of volatile organic compounds using a sensor array via a rapid method based on linear discriminant analysis
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DOI：
10.1016/j.snb.2023.133803
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发表时间：
2023-07
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我们研究了一种判别方法的挥发性有机化合物（VOCs）在呼出气污染的空气以及净化空气条件下，使用阵列的多个可燃气体传感器和线性判别分析（LDA）的空间。我们分析了传感器信号的电阻变化，采用我们开发的判别方法在LDA空间。特别地，在由于目标气体引入而发生电阻变化的间隔处的传感器电阻被用作测试数据。在二维（2-D）LDA空间中，来自测试数据的线性判别（LD）分数逐渐向训练数据的正确LD分数的方向移动。因此，使用测试数据在2-D LDA空间中的轨迹角来区分目标气体。我们的研究结果证明了所提出的方法来区分目标气体污染的空气条件下的可行性。
We investigated a discriminant method for volatile organic compounds (VOCs) in exhaled breath under contaminant air as well as purified air conditions using an array of multiple semiconductive gas sensors and the linear discriminant analysis (LDA) space. We analyzed the sensor signals of resistance changes employing our developed discriminant method in the LDA space. In particular, the sensor resistances at intervals at which a resistance change occurred owing to target gas introduction were used as test data. The linear discriminant (LD) scores from the test data in the two-dimensional (2-D) LDA space gradually shifted in the direction of the correct LD scores of the training data. Therefore, the target gases were discriminated using the angle of locus of the test data in the 2-D LDA space. Our results proved the viability of the proposed method to discriminate target gases under contaminant air conditions.