Combining serum albumin via adsorption‐exfoliation on hydroxyapatite particles (HAp) with surface‐enhanced Raman scattering (SERS), we developed a novel quantitative analysis of albumin method from blood serum for cancers screening applications. The quantitatively analysis obtained by our HAp method had a good linear relationship from 1 to 10 g/dL, and the lower limit of detection was less than the albumin prognostic factor for disease (3.5 g/dL). Serum albumin was adsorbed and exfoliated by HAp from serum samples of liver cancer patients, breast cancer patients and healthy volunteers and mixed with silver colloids to perform SERS spectral analysis. Based on the PLS‐SVM algorithm, the diagnostic accuracies of liver cancer patients and breast cancer patients were 100% and 96.68%, respectively. Moreover, this algorithm successfully predicted the unidentified subjects with a diagnostic accuracy of 93.75%. This exploratory work demonstrated that HAp‐adsorbed‐exfoliated serum proteins combined with SERS spectroscopy has great potential for cancer screening.

中文翻译：

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通过吸附剥落羟基磷灰石纳米粒子对血清白蛋白的表面增强拉曼散射分析，用于无创性癌症筛查。

通过在羟基磷灰石颗粒（HAp）上吸附剥落和表面增强拉曼散射（SERS）结合血清白蛋白，我们开发了一种从血清中提取白蛋白的新型定量分析方法，用于癌症筛查应用。通过我们的HAp方法获得的定量分析在1至10 g / dL之间具有良好的线性关系，并且检测下限小于疾病白蛋白预后因子（3.5 g / dL）。HAp从肝癌患者，乳腺癌患者和健康志愿者的血清样本中吸附血清血清白蛋白并使其脱落，然后与银胶体混合以进行SERS光谱分析。基于PLS-SVM算法，肝癌和乳腺癌患者的诊断准确率分别为100％和96.68％。此外，该算法成功地预测了身份不明的受试者，诊断准确率为93.75％。这项探索性工作表明，HAp吸附剥落的血清蛋白结合SERS光谱学具有筛查癌症的巨大潜力。