Wang, Y., Yu, C., Ji, H., Liu, Z., Wang, X., Ji, Y., Sun, X., Zhao, Y., Qiu, X., Zhang, T., Li, J., Liu, X., Lv, X., Cai, B., Zhao, Y., Huang, J.-A., & Li, Y. (2023). Label-free therapeutic drug monitoring in human serum by the 3-step surface enhanced Raman spectroscopy and multivariate analysis. Chemical Engineering Journal, 452, 139588. https://doi.org/10.1016/j.cej.2022.139588
Label-free therapeutic drug monitoring in human serum by the 3-step surface enhanced Raman spectroscopy and multivariate analysis
|Author:||Wang, Yunpeng1; Yu, Cuiwei1; Ji, Haoyu2;|
1College of Pharmacy, Research Center for Innovative Technology of Pharmaceutical Analysis, Harbin Medical University, Heilongjiang 150081, PR China
2Department of Pharmacology, The Key Laboratory of Cardiovascular Medicine Research, Ministry of Education. Harbin Medical University, Heilongjiang 150081, PR China
3College of Bioinformatics Science and Technology, Harbin Medical University, Heilongjiang 150081, PR China
4Gynaecology and Obstetrics, The Second Affiliated Hospital of Harbin Medical University, Harbin Medical University, Heilongjiang 150081, PR China
5Department of Pathology and Electron Microscopic Center. Harbin Medical University, Heilongjiang 150081, PR China
6Department of Pharmacology (the State-Province Key Laboratories of Biomedicine-Pharmaceutics of China, Key Laboratory of Cardiovascular Research, Ministry of Education), College of Pharmacy. Harbin Medical University, Heilongjiang 150081, PR China
7Department of Emergency Medicine, The Second Affiliated Hospital of Harbin Medical University. Harbin Medical University, Heilongjiang 150081, PR China
8Department of Pharmacy at The Second Affiliated Hospital, and Department of Pharmacology (The Key Laboratory of Cardiovascular Medicine Research, Ministry of Education). Harbin Medical University, Heilongjiang 150081, PR China
9Faculty of Medicine, Faculty of Biochemistry and Molecular Medicine, University of Oulu, Aapistie 5A, Oulu 90220, Finland
|Persistent link:|| http://urn.fi/urn:nbn:fi-fe20230908121848
|Publish Date:|| 2024-10-06
Surface enhanced Raman spectroscopy (SERS) is widely used in drug molecular detection. However, SERS detections of drug molecules in serum with high sensitivity and reproducibility remains extremely challenging due to signal interference of complex constituents of serum. The latter presents a high SERS background noise that buries the signals of the drug molecules. Here, we report a 3-step method to make SERS system of silver nanoparticle clusters to overcome the interference and achieve quantitative SERS analysis of drugs in serum by 1) proteins removal from serum; 2) enhanced drug adsorption on the nanoparticles; and 3) background suppression by internal standard in nanoparticle aggregation. By careful selection of the aggregation agents and internal standard, clear SERS peaks of the internal standard and six different drug analytes were observed for pesticide identification in human serum. Significantly, the SERS peak ratio of the internal stardard and drug analytes has achieved univariate quantitative monitoring of drug metabolism in mice serum, which is in agreement with analysis by the multivariate curve resolution-alternating least squares method. Our method shows great clinical application potential in therapeutic drug monitoring and personalized medicine.
Chemical engineering journal
|Type of Publication:||
A1 Journal article – refereed
|Field of Science:||
116 Chemical sciences
DigiHealth-project, a strategic profiling project at the University of Oulu that is supported by the Academy of Finland (project number: 326291) and the University of Oulu as well as the Tandem Industry Academia 2021 project (project number: 312) from the Finnish Research Impact Foundation.
© 2023. This manuscript version is made available under the CC-BY-NC-ND 4.0 license https://creativecommons.org/licenses/by-nc-nd/4.0/.