MOE Key Laboratory of OptoElectronic Science and Technology for Medicine and Fujian Provincial Key Laboratory for Photonics Technology, Fujian Normal University, Fuzhou, Fujian, China.
School of Opto-electronic and Communication Engineering, Xiamen University of Technology, Xiamen, Fujian, China.
Anal Chim Acta. 2022 Aug 15;1221:340101. doi: 10.1016/j.aca.2022.340101. Epub 2022 Jun 21.
With the aid of good biocompatibility and stability with hydroxyapatite (HAp) in protein separation and adsorption fields, we developed a novel extraction-isolation albumin analysis method by relying on the specific adsorption capacity of HAp, combining with surface-enhanced Raman spectroscopy (SERS) for prostate cancer screening. Two different nanostructures of HAp particles, including the HAp flower and HAp sphere, were synthesized with a hydrothermal method, and the targeted binding and extraction abilities of serum albumin of these two HAp particles were compared. By changing the morphology of the nanostructure, the albumin-adsorption capacity of HAp varied significantly. Compared with spherical HAp particles, HAp flower particles have more albumin binding sites per unit area. Thus, the HAp flower displayed the superior capacity for adsorption-release of albumin, which was further employed for clinical prostate cancer screening. Based on the superior adsorption-extraction ability of albumin of HAp flower, serum albumin was adsorbed and extracted by HAp flower from serum samples of prostate cancer patients (n = 30) and healthy volunteers (n = 30), and mixed with silver colloids to perform SERS spectral analysis. The partial least square-support vector machines (PLS-SVM) model is used to analyze the obtained serum albumin SERS spectra and establish the diagnostic model, the diagnostic accuracy was up to 95.00% for differentiating the normal volunteer from prostate patient groups. The results demonstrate that the PLS-SVM model provides superior performance in the classification of a prostate cancer diagnosis. Due to the advantages of simplicity and rapidness, the HAp flower-adsorbed-released albumin combined with SERS was expected to become a promising tool for prostate cancer detection.
我们利用良好的生物相容性和与羟磷灰石（HAp）在蛋白质分离和吸附领域的稳定性，开发了一种新型的提取-分离白蛋白分析方法，该方法依赖于 HAp 的特异性吸附能力，结合表面增强拉曼光谱（SERS）进行前列腺癌筛查。我们采用水热法合成了两种不同形貌的 HAp 颗粒，包括 HAp 花和 HAp 球，并比较了这两种 HAp 颗粒对血清白蛋白的靶向结合和提取能力。通过改变纳米结构的形态，HAp 的白蛋白吸附能力发生了显著变化。与球形 HAp 颗粒相比，HAp 花颗粒单位面积的白蛋白结合位点更多。因此，HAp 花表现出优越的白蛋白吸附-释放能力，进一步用于临床前列腺癌筛查。基于 HAp 花对白蛋白的优越吸附-提取能力，我们用 HAp 花从前列腺癌患者（n=30）和健康志愿者（n=30）的血清样本中吸附和提取血清白蛋白，并与银胶体混合进行 SERS 光谱分析。我们使用偏最小二乘支持向量机（PLS-SVM）模型分析获得的血清白蛋白 SERS 光谱并建立诊断模型，该模型区分正常志愿者和前列腺患者组的诊断准确率高达 95.00%。结果表明，PLS-SVM 模型在前列腺癌诊断的分类中具有优越的性能。由于其简单快速的优点，结合 SERS 的 HAp 花吸附-释放白蛋白有望成为一种有前途的前列腺癌检测工具。
