Lackey Hope E, Espley Alyssa F, Potter Savannah M, Lamadie Fabrice, Miguirditchian Manuel, Nelson Gilbert L, Bryan Samuel A, Lines Amanda M
Pacific Northwest National Laboratory, Richland, Washington 99352, United States.
Department of Chemistry, Washington State University, Pullman, Washington 99164, United States.
ACS Omega. 2024 Aug 29;9(37):38548-38556. doi: 10.1021/acsomega.4c03857. eCollection 2024 Sep 17.
Microfluidic devices (MFDs) offer customizable, low-cost, and low-waste platforms for performing chemical analyses. Optical spectroscopy techniques provide nondestructive monitoring of small sample volumes within microfluidic channels. Optical spectroscopy can probe speciation, oxidation state, and concentration of analytes as well as detect counterions and provide information about matrix composition. Here, ultraviolet-visible (UV-vis) absorbance, near-infrared (NIR) absorbance, and Raman spectroscopy are utilized on a custom poly(methyl methacrylate) (PMMA) MFD for the detection of three lanthanide nitrates in solution. Absorbance spectroscopies are conducted across three pathlengths using three portions of a contiguous channel within the MFD. Univariate and chemometric multivariate modeling, specifically Beer's law regression and principal component regression (PCR), respectively, are utilized to quantify the three lanthanides and the nitrate counterion. Models are composed of spectra from one or multiple pathlengths. Models are also constructed from multiblock spectra composed of UV-vis, NIR, and Raman spectra at one or multiple pathlengths. Root-mean-square errors (RMSE), limit of detection (LOD), and residual predictive deviation (RPD) values are compared for univariate, multivariate, multi-pathlength, and multiblock models. Univariate modeling produces acceptable results for analytes with a simple signal, such as samarium cations, producing an LOD of 5.49 mM. Multivariate and multiblock models produce enhanced quantification for analytes that experience spectral overlap and interfering nonanalyte signals, such as holmium, which had an LOD reduction from 7.21 mM for the univariate model down to 3.96 mM for the multiblock model. Multi-pathlength models are developed that maintain model errors in line with single-pathlength models. Multi-pathlength models have RPDs from 9.18 to 46.4, while incorporating absorbance spectra collected at optical paths of up to 10-fold difference in length.
微流控装置(MFDs)为进行化学分析提供了可定制、低成本且低浪费的平台。光谱技术可对微流控通道内的小体积样品进行无损监测。光谱学能够探测分析物的形态、氧化态和浓度,还能检测抗衡离子并提供有关基质组成的信息。在此,利用紫外可见(UV-vis)吸收光谱、近红外(NIR)吸收光谱和拉曼光谱,在定制的聚甲基丙烯酸甲酯(PMMA)微流控装置上检测溶液中的三种硝酸镧系元素。吸收光谱法使用微流控装置内连续通道的三个部分,在三种光程长度上进行测量。分别采用单变量和化学计量多变量建模,即比尔定律回归和主成分回归(PCR),来定量三种镧系元素和硝酸抗衡离子。模型由来自一个或多个光程长度的光谱组成。模型也由在一个或多个光程长度上由UV-vis、NIR和拉曼光谱组成的多块光谱构建而成。比较了单变量、多变量、多光程长度和多块模型的均方根误差(RMSE)、检测限(LOD)和残余预测偏差(RPD)值。对于具有简单信号的分析物,如钐阳离子,单变量建模产生了可接受的结果,检测限为5.49 mM。对于经历光谱重叠和干扰非分析物信号的分析物,如钬,多变量和多块模型产生了增强的定量效果,钬的检测限从单变量模型的7.21 mM降至多块模型的3.96 mM。开发了多光程长度模型,其保持的模型误差与单光程长度模型一致。多光程长度模型的RPD值在9.18至46.4之间,同时纳入了在长度相差高达10倍的光程上收集的吸收光谱。