Department of Health Management, Atlantic Veterinary College, University of Prince Edward Island, Charlottetown, Prince Edward Island, C1A 4P3, Canada; Department of Animal Medicine, Division of Infectious Diseases, Faculty of Veterinary Medicine, Zagazig University, Zagazig City 44511, Sharkia Province, Egypt.
Department of Health Management, Atlantic Veterinary College, University of Prince Edward Island, Charlottetown, Prince Edward Island, C1A 4P3, Canada.
J Pharm Biomed Anal. 2018 Feb 20;150:413-419. doi: 10.1016/j.jpba.2017.12.031. Epub 2017 Dec 21.
Attenuated total reflectance infrared (ATR-IR) spectroscopy is a simple, rapid and cost-effective method for the analysis of serum. However, the complex nature of serum remains a limiting factor to the reliability of this method. We investigated the benefits of coupling the centrifugal ultrafiltration with ATR-IR spectroscopy for quantification of human serum IgA concentration. Human serum samples (n = 196) were analyzed for IgA using an immunoturbidimetric assay. ATR-IR spectra were acquired for whole serum samples and for the retentate (residue) reconstituted with saline following 300 kDa centrifugal ultrafiltration. IR-based analytical methods were developed for each of the two spectroscopic datasets, and the accuracy of each of the two methods compared. Analytical methods were based upon partial least squares regression (PLSR) calibration models - one with 5-PLS factors (for whole serum) and the second with 9-PLS factors (for the reconstituted retentate). Comparison of the two sets of IR-based analytical results to reference IgA values revealed improvements in the Pearson correlation coefficient (from 0.66 to 0.76), and the root mean squared error of prediction in IR-based IgA concentrations (from 102 to 79 mg/dL) for the ultrafiltration retentate-based method as compared to the method built upon whole serum spectra. Depleting human serum low molecular weight proteins using a 300 kDa centrifugal filter thus enhances the accuracy IgA quantification by ATR-IR spectroscopy. Further evaluation and optimization of this general approach may ultimately lead to routine analysis of a range of high molecular-weight analytical targets that are otherwise unsuitable for IR-based analysis.
衰减全反射红外(ATR-IR)光谱法是一种用于分析血清的简单、快速且具有成本效益的方法。然而,血清的复杂性质仍然是该方法可靠性的限制因素。我们研究了将离心超滤与 ATR-IR 光谱法结合用于定量人血清 IgA 浓度的优势。使用免疫比浊法分析了 196 个人血清样本的 IgA。对全血清样本和经 300 kDa 离心超滤后用生理盐水重构成的保留物(残留物)进行 ATR-IR 光谱采集。为两个光谱数据集的每一个都开发了基于 IR 的分析方法,并比较了这两种方法的准确性。分析方法基于偏最小二乘回归(PLSR)校准模型 - 一个具有 5-PLS 因子(用于全血清),另一个具有 9-PLS 因子(用于重构成的保留物)。将两种基于 IR 的分析结果与参考 IgA 值进行比较,发现超滤保留物基方法的 Pearson 相关系数(从 0.66 提高到 0.76)和基于 IR 的 IgA 浓度预测均方根误差(从 102 降低到 79mg/dL)都得到了改善与基于全血清光谱的方法相比。使用 300 kDa 离心过滤器去除人血清中的低分子量蛋白质,从而提高了 ATR-IR 光谱法对 IgA 定量的准确性。进一步评估和优化这种通用方法可能最终导致对一系列不适合基于 IR 分析的高分子量分析目标的常规分析。