journal article·2024-12-31

In Vivo Surface-Enhanced Transmission Raman Spectroscopy and Impact of Frozen Biological Tissues on Lesion Depth Prediction

Yutong Zhou, Yumin Zhang, Haoqiang Xie, Zongyu Wu, Bowen Shi, Linley Li Lin, Jian Ye

ACS Nano· Volume 18· Issue 52
Publisher page

Abstract

Plasmonic surface-enhanced transmission Raman spectroscopy (SETRS) has emerged as a promising optical technique for detecting and predicting the depths of deep-seated lesions in biological tissues. However, in vivo studies using SETRS are scarce and typically show shallow penetration depths. Moreover, the optical parameters used in the prediction process are often derived from frozen samples and there is limited understanding of how freezing affects the optical properties of biological tissues and the accuracy of depth prediction in living models. In this work, we conduct in vivo SETRS measurements on thick abdominal tissue region of the live rats to investigate the impact of freezing on the measured optical properties for the purpose of depth prediction. First, we fabricated ultrahigh bright surface-enhanced Raman spectroscopy (SERS) nanotags and utilized a custom transmission Raman system. We then measured the change of optical attenuation at two different wavelengths (Δ μ ) for four types of rat tissues (including skin, fat, muscle, and liver) following freezing. The freezing process dramatically affects Δ μ values, even after only 1 day of freezing. In contrast, Δ μ values obtained from fresh samples enable precise localization of SERS lesion phantoms in the live rat with only 5% deviation. The total thickness of the live rat is 2.6 cm, which, to the best of our knowledge, is the highest value of in vivo SETRS studies so far. This work helps to fill the gap in the SERS field of tissue localization and optical coefficient studies in highly heterogeneous tissues, and demonstrates the potential of the SETRS technique to achieve precise clinical localization of deep lesions.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Spectroscopy Techniques in Biomedical and Chemical Research · Gold and Silver Nanoparticles Synthesis and Applications · Optical Imaging and Spectroscopy Techniques

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

State Key Laboratory of Oncogenes and Related Genes, School of Biomedical Engineering

Shanghai Jiao Tong University

Department of Radiology

Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine

Shanghai Key Laboratory of Gynecologic Oncology, Renji Hospital, School of Medicine

Institute of Medical Robotics

Funding

Shanghai Jiao Tong University · Shanghai Key Laboratory of Gynecologic Oncology · Shanghai Municipal Education Commission · Science and Technology Department of Sichuan Province · Science and Technology Commission of Shanghai Municipality · National Natural Science Foundation of China · Shanghai Education Development Foundation

References (48)

Show source-provided references
1. 10.1038/ncomms1077610.1038/ncomms10776 ↗
2. 10.1016/j.ccr.2020.21368610.1016/j.ccr.2020.213686 ↗
3. 10.1021/acs.chemrev.1c0050610.1021/acs.chemrev.1c00506 ↗
4. 10.1038/s41566-023-01299-610.1038/s41566-023-01299-6 ↗
5. 10.7150/ntno.6322210.7150/ntno.63222 ↗
6. 10.1007/s00109-021-02115-w10.1007/s00109-021-02115-w ↗
7. 10.1016/j.clineuro.2021.10708510.1016/j.clineuro.2021.107085 ↗
8. 10.1021/acsnano.3c0428410.1021/acsnano.3c04284 ↗
9. 10.1002/aisy.20220034510.1002/aisy.202200345 ↗
10. 10.7150/thno.3632110.7150/thno.36321 ↗
11. 10.1007/s44258-023-00010-210.1007/s44258-023-00010-2 ↗
12. 10.1039/C6CS00908E10.1039/C6CS00908E ↗
13. 10.1021/acsnano.0c0004310.1021/acsnano.0c00043 ↗
14. 10.1146/annurev.anchem.1.031207.11281410.1146/annurev.anchem.1.031207.112814 ↗
15. 10.1039/C7CS00238F10.1039/C7CS00238F ↗
16. Lin L. · 2021 · 3233 · 17710.1007/978-981-15-7627-0_9 ↗
18. 10.1038/s43586-021-00019-010.1038/s43586-021-00019-0 ↗
19. 10.1021/acs.analchem.0c0184210.1021/acs.analchem.0c01842 ↗
20. 10.1039/D0CS00855A10.1039/D0CS00855A ↗
21. 10.1158/0008-5472.CAN-07-655710.1158/0008-5472.CAN-07-6557 ↗
22. 10.7150/ntno.7151010.7150/ntno.71510 ↗
23. 10.1002/VIW.2023002210.1002/VIW.20230022 ↗
24. 10.1002/advs.20230172110.1002/advs.202301721 ↗
25. 10.1117/1.Jbo.24.9.09090110.1117/1.Jbo.24.9.090901 ↗
26. 10.1117/1.Jbo.23.9.09141810.1117/1.Jbo.23.9.091418 ↗
27. 10.1002/smtd.20220133410.1002/smtd.202201334 ↗
28. 10.1021/acsami.3c0779210.1021/acsami.3c07792 ↗
29. 10.1364/AO.56.00833510.1364/AO.56.008335 ↗
30. 10.3390/s2305269010.3390/s23052690 ↗
31. 10.1016/j.tifs.2018.02.01910.1016/j.tifs.2018.02.019 ↗
32. 10.1111/1541-4337.1284110.1111/1541-4337.12841 ↗
33. 10.1016/j.tifs.2022.04.00410.1016/j.tifs.2022.04.004 ↗
34. 10.1016/j.pdpdt.2020.10207110.1016/j.pdpdt.2020.102071 ↗
35. 10.1016/j.foodres.2020.10914210.1016/j.foodres.2020.109142 ↗
36. 10.1080/10408398.2022.202553410.1080/10408398.2022.2025534 ↗
37. 10.1117/1.JBO.18.11.11701010.1117/1.JBO.18.11.117010 ↗
38. 10.1117/1.JBO.20.2.02500610.1117/1.JBO.20.2.025006 ↗
39. 10.1039/D0TB00659A10.1039/D0TB00659A ↗
40. 10.7150/thno.3996810.7150/thno.39968 ↗
41. 10.1021/acsanm.0c0131710.1021/acsanm.0c01317 ↗
42. 10.1038/s41467-019-11829-y10.1038/s41467-019-11829-y ↗
43. 10.1016/j.pacs.2014.04.00210.1016/j.pacs.2014.04.002 ↗
44. 10.1088/0031-9155/53/11/00310.1088/0031-9155/53/11/003 ↗
45. 10.1016/j.devcel.2010.01.01110.1016/j.devcel.2010.01.011 ↗
46. 10.1016/j.biomaterials.2021.12107010.1016/j.biomaterials.2021.121070 ↗
47. 10.1038/nbt137710.1038/nbt1377 ↗
48. 10.1021/acs.nanolett.6b0452310.1021/acs.nanolett.6b04523 ↗