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A research on detection and identification of harmful gas utilizing cataluminescence-based sensor array

机译:利用基于催化剂的传感器阵列检测和鉴定的研究

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A novel cataluminescence (CTL)-based sensor array consisting of 9 types of catalytic nanomaterials was developed for the determination and identification of harmful gas. The sensing nanomaterials, including nano-sized metal oxides, carbonates and decorated nanoparticles, have been selected carefully. A 3×3 array was integrated by depositing these nanosized catalysts onto the ceramic chip. Dynamic and static analysis methods were utilized to characterize the performance of the sensor array to 4 kinds of harmful gas. Each compound gives its unique CTL pattern after interact with the sensor array, which can be employed to recognize ether, acetone, chloroform, and toluene. PCA was conducted to classify the harmful gas and the plots showed that the groups were well classified. In addition, the patterns obtained at different working temperature and the analytical characteristics of array were investigated. The CTL-based sensor array shows promising perspective for the recognition and discrimination of harmful gas.
机译:基于9种类型的催化纳米材料组成的新型催化剂(CTL)的传感器阵列用于测定和鉴定有害气体。仔细选择感测纳米材料,包括纳米尺寸金属氧化物,碳酸盐和装饰纳米颗粒。通过将这些纳米催化剂沉积到陶瓷芯片上,整合了3×3阵列。使用动态和静态分析方法来表征传感器阵列的性能至4种有害气体。在与传感器阵列相互作用之后,每个化合物都可以在与传感器阵列相互作用后,其可用于识别醚,丙酮,氯仿和甲苯。进行了PCA以分类有害气体,并且该地块表明该群体分类得很好。另外,研究了在不同的工作温度和阵列的分析特征处获得的图案。基于CTL的传感器阵列显示了有希望的识别和辨别有害气体的观点。

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