吸附-脱附噪声可用于提高选择性
Adsorption-desorption noise can be used for improving selectivity
摘要：
小型化学传感器会受到吸附-脱附波动的影响，通常被认为是污染有用信号的噪音。基于这种噪声的时间特性，它表明，它可以是有用的，如果适当的处理。也就是说，表征被吸附分析物总量的信号应该经受具有一定阈值的一种幅度鉴别（或水平交叉鉴别）。当该量等于或大于阈值时，判别结果为标准直流信号，否则为零。分析物以低浓度应用：平均吸附量低于阈值。由于波动，有时会达到阈值。鉴别后的信号在一个时间窗口上取平均值，并用作整个装置的输出。该装置的选择性进行比较，其主要吸附网站，明确描述的阈值交叉统计的基础上。它的结论是，整个传感器可能有更好的选择性比它的个人吸附网站。
英文摘要：
Small chemical sensors are subjected to adsorption-desorption fluctuations which usually considered as noise contaminating useful signal. Based on temporal properties of this noise, it is shown that it can be made useful if proper processed. Namely, the signal, which characterizes the total amount of adsorbed analyte, should be subjected to a kind of amplitude discrimination (or level crossing discrimination) with certain threshold. When the amount is equal or above the threshold, the result of discrimination is standard dc signal, otherwise it is zero. Analytes are applied at low concentration: the mean adsorbed amount is below the threshold. The threshold is achieved from time to time thanking to the fluctuations. The signal after discrimination is averaged over a time window and used as the output of the whole device. Selectivity of this device is compared with that of its primary adsorbing sites, based on explicit description of the threshold-crossing statistics. It is concluded that the whole sensor may have much better selectivity than do its individual adsorbing sites.
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