Jiangsu Key Laboratory of Medical Optics, Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, Jiangsu 215163, China.
Suzhou Guoke Medical Science & Technology Development Co. Ltd., Suzhou 215163, China.
Spectrochim Acta A Mol Biomol Spectrosc. 2022 Nov 15;281:121640. doi: 10.1016/j.saa.2022.121640. Epub 2022 Jul 18.
Blood species identification of human and animals has attracted much attention in the areas of customs inspection and forensic science. The combination of vibrational spectroscopy and machine learning has been proven to be feasible and effective for this purpose. However, the popularization of this technology needs instrument which is compact, robust and more suitable for field application. Besides the quantity of the blood sample should be as little as possible. In this study, we proposed a system using echelle Raman spectrometer combined with surface enhanced Raman spectroscopy (SERS), which protocol combines the advantages of broadband and high resolution of echelle Raman spectrometer with the advantages of high SERS spectral sensitivity. The SERS spectra of 26 species including human were collected with echelle Raman spectrometer, and the convolutional neural network was used for species identification, with an accuracy rate of over 94%. The feasibility, validity and reliability of the combination of echelle Raman spectrometer and SERS for blood species identification were realized.
血液物种鉴定在海关检查和法医学领域受到广泛关注。振动光谱学和机器学习的结合已被证明在这方面是可行和有效的。然而，这项技术的普及需要一种紧凑、坚固、更适合现场应用的仪器。此外，血液样本的数量应尽可能少。在本研究中，我们提出了一种使用阶梯光栅拉曼光谱仪结合表面增强拉曼光谱（SERS）的系统，该方案结合了阶梯光栅拉曼光谱仪的宽带和高分辨率优势以及 SERS 光谱高灵敏度的优势。使用阶梯光栅拉曼光谱仪收集了包括人类在内的 26 个物种的 SERS 光谱，并使用卷积神经网络进行物种识别，准确率超过 94%。实现了阶梯光栅拉曼光谱仪和 SERS 结合用于血液物种鉴定的可行性、有效性和可靠性。
