The binding of curcumin with biomolecules in biological fluids can affect the activity, distribution, rate of excretion, and toxicity of pharmaceutical agents in the body. It is said that interaction of curcumin with bio molecules such as protein can increase its bioavailability. A simpler alternative to current methods for study of curcumin interaction with biomolecules in biological fluids and the quantification of the interacted curcumin is therefore useful. Herein we demonstrated a method based on ATR-FTIR spectroscopy combined with multivariate analysis for concentration dependent curcumin interaction with serum biomolecules as a model. ATR-FTIR spectra of curcumin-spiked serum samples were acquired and data were processed with two different multivariate methods namely, Principal Component Analysis (PCA) and Partial Least-Squares Regression (PLS-R). PCA of the protein region (1701-1304 cm⁻¹) shows a separation into groups based on the concentration of curcumin with no overlaps indicating the curcumin interaction is highest with serum proteins other than lipids and carbohydrates. PLS-R was employed to construct a calibration plot in carbohydrate, protein and lipid regions. The limit of detection of the interaction for all three regions was 10 ppm.

姜黄素与生物体液中生物分子的结合会影响药剂在体内的活性、分布、排泄率和毒性。据说姜黄素与蛋白质等生物分子的相互作用可以提高其生物利用度。因此，目前研究姜黄素与生物体液中生物分子的相互作用以及对相互作用的姜黄素进行定量的一种更简单的替代方法是有用的。在此，我们展示了一种基于 ATR-FTIR 光谱结合多变量分析的方法，用于浓度依赖性姜黄素与血清生物分子的相互作用作为模型。采集了掺入姜黄素的血清样品的 ATR-FTIR 光谱，并使用两种不同的多变量方法处理数据，即，主成分分析 (PCA) 和偏最小二乘回归 (PLS-R)。蛋白质区域的 PCA (1701-1304 cm^-1 ) 显示了基于姜黄素浓度的分组，没有重叠表明姜黄素与除脂质和碳水化合物之外的血清蛋白的相互作用最高。PLS-R 用于构建碳水化合物、蛋白质和脂质区域的校准图。所有三个区域的相互作用检测限为 10 ppm。