Bohrer Forest I, Colesniuc Corneliu N, Park Jeongwon, Ruidiaz Manuel E, Schuller Ivan K, Kummel Andrew C, Trogler William C
Department of Chemistry and Biochemistry, University of California, San Diego, 9500 Gilman Drive, La Jolla, California 92093, USA.
J Am Chem Soc. 2009 Jan 21;131(2):478-85. doi: 10.1021/ja803531r.
The sensitivities of metallophthalocyanine (MPcs: M = Co, Ni, Cu, Zn, and H(2)) chemiresistors to vapor phase electron donors were examined using 50 nm MPc films deposited on interdigitated electrodes. Sensor responses were measured as changes in current at constant voltage. Analytes were chosen to span a broad range of Lewis base and hydrogen bond base strengths. The MPc sensor responses were correlated exponentially with binding enthalpy. These exponential fits were consistent with the van't Hoff equation and standard free energy relationships. Sensor recovery times were found to depend exponentially on binding enthalpy, in agreement with the Arrhenius equation. Relative sensitivities of all MPcs were compared via two-way ANOVA analysis. Array response patterns were differentiated via linear discriminant analysis, and analyte identification was achieved over a range of concentrations with 95.1% classification accuracy for the strong binding analytes. The ability to distinguish among different analytes, regardless of their concentration, through normalization of the responses to a reference sensor is particularly noteworthy.
使用沉积在叉指电极上的50纳米金属酞菁（MPcs：M = Co、Ni、Cu、Zn和H₂）薄膜，研究了金属酞菁化学电阻器对气相电子供体的灵敏度。传感器响应通过恒定电压下电流的变化来测量。选择的分析物涵盖了广泛的路易斯碱和氢键碱强度范围。MPc传感器响应与结合焓呈指数相关。这些指数拟合与范特霍夫方程和标准自由能关系一致。发现传感器恢复时间与结合焓呈指数关系，这与阿累尼乌斯方程一致。通过双向方差分析比较了所有MPc的相对灵敏度。通过线性判别分析区分阵列响应模式，对于强结合分析物，在一系列浓度范围内实现了95.1%的分类准确率的分析物识别。通过将响应归一化到参考传感器来区分不同分析物（无论其浓度如何）的能力尤其值得注意。
