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Yang L, Jia J, Li S. Advances in the Application of Exosomes Identification Using Surface-Enhanced Raman Spectroscopy for the Early Detection of Cancers. Front Bioeng Biotechnol 2022; 9:808933. [PMID: 35087806 PMCID: PMC8786808 DOI: 10.3389/fbioe.2021.808933] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2021] [Accepted: 12/17/2021] [Indexed: 12/21/2022] Open
Abstract
Exosomes are small nanoscale vesicles with a double-layered lipid membrane structure secreted by cells, and almost all types of cells can secrete exosomes. Exosomes carry a variety of biologically active contents such as nucleic acids and proteins, and play an important role not only in intercellular information exchange and signal transduction, but also in various pathophysiological processes in the human body. Surface-enhanced Raman Spectroscopy (SERS) uses light to interact with nanostructured materials such as gold and silver to produce a strong surface plasmon resonance effect, which can significantly enhance the Raman signal of molecules adsorbed on the surface of nanostructures to obtain a rich fingerprint of the sample itself or Raman probe molecules with ultra-sensitivity. The unique advantages of SERS, such as non-invasive and high sensitivity, good selectivity, fast analysis speed, and low water interference, make it a promising technology for life science and clinical testing applications. In this paper, we briefly introduce exosomes and the current main detection methods. We also describe the basic principles of SERS and the progress of the application of unlabeled and labeled SERS in exosome detection. This paper also summarizes the value of SERS-based exosome assays for early tumor diagnosis.
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Affiliation(s)
- Lu Yang
- Department of Internal Medicine, Cancer Hospital of Dalian University of Technology (Liaoning Cancer Hospital and Institute), Shenyang, China
| | - Jingyuan Jia
- School of Optoelectronic Engineering and Instrumentation Science, Dalian University of Technology, Dalian, China
- *Correspondence: Jingyuan Jia, ; Shenglong Li,
| | - Shenglong Li
- Department of Bone and Soft Tissue Tumor Surgery, Cancer Hospital of Dalian University of Technology (Liaoning Cancer Hospital and Institute), Shenyang, China
- *Correspondence: Jingyuan Jia, ; Shenglong Li,
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