Employment of Acoutso-optic Tunable Filters to Mimic Regression Vectors for Improved Speed and Precision of Multivariate Calibration

这项授予亚利桑那州立大学的初学者奖金支持卡尔·S·布克什教授的研究。这项研究提出了一种使用扫描声光可调谐滤光器进行定量的多变量光学方法。该方法光学地构造了多元回归向量，并将其与过滤器集成在一起。因此，量化只需要访问单通道检测器两次，从而消除了对昂贵的多通道检测器的需要，并将读取和热噪声对定量的影响降至最低。该方法的初步应用是通过荧光光谱定量天然水中的苯同系物，以及定量苯、甲苯、乙苯和二甲苯混合物中的二甲苯异构体。这项研究是仪器设计和数据分析方面的进步，为化学分析光学测量领域带来了新的动力。许多应用都是可能的，特别是在石化分析中。

This starter grant award to Arizona State University supports the research of Professor Karl S. Booksh. The research addresses a multivariate optical methodology for quantitation employing a scanning acousto-optic tunable filter. The method optically constructs and integrates a multivariate regression vector with the filter. Thus, quantitation requires accessing a single channel detector only twice, eliminating the need for an expensive multichannel detector and minimizing the effect of read and thermal noise on quantitation. Initial applications of the methodology are quantitation of benzene homologues in natural waters by fluorescence spectroscopy and quantitation of xylene isomers in benzene, toluene, ethylbenzene, and xylene mixtures. The research is an advance in instrument design and data analysis bringing new power to the field of optical measurements for chemical analysis. Many applications are possible, particularly in petrochemical analysis.