Department of Chemistry and Biochemistry, University of Arizona, 1306 East University Boulevard, Tucson, Arizona 85721, USA.
Anal Chem. 2012 Oct 2;84(19):8422-6. doi: 10.1021/ac302169y. Epub 2012 Sep 14.
Minimizing noise in chemical measurements is critical to achieve low limits of detection and accurate measurements. We describe a real-time oversampling filter that offers a method to reduce stochastic noise in a time-dependent chemical measurement. The power of this technique is demonstrated in its application to the separation of dopamine and serotonin by micellar electrokinetic chromatography with amperometric detection. Signal-to-noise ratios were increased by almost an order of magnitude, allowing for limits of detection of 100 and 120 amol, respectively. Real-time oversampling filters can be implemented using simple software algorithms and require no change to existing experimental apparatus. The application is not limited to analytical separations, and this technique can be used to improve the signal-to-noise ratio in any experiment where the necessary sampling rate is less than the maximum sampling rate of the analog-to-digital converter. Theory, implementation, and the performance of this filter are described. We propose that this technique should be the default mode of operation for an analog-to-digital converter.
最小化化学测量中的噪声对于实现低检测限和准确测量至关重要。我们描述了一种实时过采样滤波器，它提供了一种减少时间相关化学测量中随机噪声的方法。该技术的应用证明了其在胶束电动色谱-安培检测中分离多巴胺和血清素方面的有效性。信噪比提高了近一个数量级，分别允许检测限达到 100 和 120 amol。实时过采样滤波器可以使用简单的软件算法实现，并且不需要对现有实验设备进行任何更改。该应用不仅限于分析分离，这种技术可以用于提高任何实验中的信噪比，只要所需的采样率小于模数转换器的最大采样率即可。本文描述了该滤波器的理论、实现和性能。我们提出，这种技术应该成为模数转换器的默认工作模式。
