FOCAS Research Institute, Technological University Dublin, City Campus, Camden Row, Dublin 8, D08 CKP1 Dublin, Ireland.
School of Physics and Clinical and Optometric Sciences, Technological University Dublin, City Campus, Grangegorman, Dublin 7, D07 EWV4 Dublin, Ireland.
Molecules. 2022 Jul 24;27(15):4724. doi: 10.3390/molecules27154724.
Carotenoids are naturally abundant, fat-soluble pigmented compounds with dietary, antioxidant and vision protection advantages. The dietary carotenoids, Beta Carotene, Lutein, and Zeaxanthin, complexed with in bovine serum albumin (BSA) in aqueous solution, were explored using Raman spectroscopy to differentiate and quantify their spectral signatures. UV visible absorption spectroscopy was employed to confirm the linearity of responses over the concentration range employed (0.05-1 mg/mL) and, of the 4 Raman source wavelengths (785 nm, 660 nm, 532 nm, 473 nm), 532 nm was chosen to provide the optimal response. After preprocessing to remove water and BSA contributions, and correct for self-absorption, a partial least squares model with R of 0.9995, resulted in an accuracy of the Root Mean Squared Error of Prediction for Beta Carotene of 0.0032 mg/mL and Limit of Detection 0.0106 mg/mL. Principal Components Analysis clearly differentiated solutions of the three carotenoids, based primarily on small shifts of the main peak at ~1520 cm. Least squares fitting analysis of the spectra of admixtures of the carotenoid:protein complexes showed reasonable correlation between norminal% and fitted%, yielding 100% contribution when fitted with individual carotenoid complexes and variable contributions with multiple ratios of admixtures. The results indicate the technique can potentially be used to quantify the carotenoid content of human serum and to identify their differential contributions for application in clinical analysis.
类胡萝卜素是天然存在的、脂溶性的色素化合物,具有饮食、抗氧化和保护视力的优点。本文采用拉曼光谱技术研究了与牛血清白蛋白(BSA)结合在水溶液中的膳食类胡萝卜素,β-胡萝卜素、叶黄素和玉米黄质,以区分和量化它们的光谱特征。紫外可见吸收光谱用于确认在所用浓度范围内(0.05-1mg/mL)的线性响应,并且在 4 个拉曼光源波长(785nm、660nm、532nm、473nm)中,选择 532nm 以提供最佳响应。在预处理以去除水和 BSA 的贡献并校正自吸收之后,偏最小二乘模型的 R 为 0.9995,导致β-胡萝卜素的预测均方根误差的准确度为 0.0032mg/mL,检测限为 0.0106mg/mL。主成分分析基于在~1520cm 左右的主要峰的微小移动,清楚地区分了三种类胡萝卜素的溶液。对类胡萝卜素:蛋白质复合物的混合物光谱进行最小二乘拟合分析表明,规范%和拟合%之间存在合理的相关性,当用单个类胡萝卜素复合物拟合时,会产生 100%的贡献,而用混合物的多个比例混合时,贡献会有所变化。结果表明,该技术可用于定量人血清中的类胡萝卜素含量,并识别它们的差异贡献,应用于临床分析。