基于SERS光谱技术的肝癌无损检测及转移潜能研究

Liver cancer is a high incidence of malignant tumor, over 50% new cases and deaths from liver cancer around the world occur in our country every year, it has become a serious threat to people's health. Based on surface enhanced Raman spectroscopy (SERS) technology, the investigations will be carried out mainly in the following two areas. Firstly, we will develop a low abundance plasma protein - SERS detection method, which can specially discriminate the AFP-negative patients from the healthy volunteers, as well as differentiating of liver cancer patients, liver disease patients, other different types of cancer patients and healthy people. As a result, the new method will reduce the rate of misdiagnosis and missed diagnosis, while improving the sensitivity and specificity of liver cancer screening. Secondly, self-developed electroporation SERS and ultrasound perforation SERS methods will be used to obtain robust and high-quality SERS spectra of living cells, then to evaluate the metastasis degree of liver cancer cell treated by different drugs. We will present some new SERS based methods for detection of the plasma proteins of liver patients and liver cancer cells with high sensitivity and specificity. Our research work will provide a solid foundation both in experimental and theoretical aspect for screening, diagnosis, metastasis, recurrence and treatment for liver cancer.

肝癌是高发恶性肿瘤，我国每年新发和死亡肝癌患者均超过全球50%，肝癌对我国民众健康造成严重威胁。本项目基于表面增强拉曼光谱（SERS）技术将从以下两方面开展研究。第一，开发一种低丰度血浆蛋白-SERS检测新方法，将肝癌患者、肝病患者、其他类型癌症患者及健康人相区分，特别对甲胎蛋白指标不升高肝癌患者与对照组进行区分，从而减少误诊和漏诊并提高肝癌筛查的灵敏度和特异性。第二，基于自主开发的细胞电穿孔-SERS和超声细胞穿孔-SERS方法获得高质量活细胞SERS光谱，对肝癌细胞在不同药物作用下转移潜能变化开展SERS光谱研究。该项目可建立一些特异性和灵敏度高的血浆蛋白和肝癌细胞SERS检测新技术，为肝癌筛查、诊断、转移、复发及治疗研究提供实验基础和理论依据。

本项目基于表面增强拉曼光谱（SERS）技术对肝癌开展研究，将醋酸纤维素(CA)膜纯化与银纳米粒子表面增强拉曼光谱(SERS)相结合的方法进行血清蛋白分离和生化分析，建立一种无创、无标记物的对肝癌检测分析方法。开发了一种羟基磷灰石（HAP）吸附剥离的血清白蛋白SERS检测方法，应用该方法对肝癌患者、健康人的血浆开展 SERS 研究, 同时将超声和电脉冲技术相结合快速导入金属纳米粒子进入细胞再进行SERS检测，对肝癌细胞株和其他癌症来源细胞开展SERS 研究。已发表研究论文40余篇，其中SCI 收录论文19篇。申请或获得授权发明专利6 项。获得授权2项。项目组成员还获得2020 年度福建省科学技术奖二等奖1项（已公示）。