Strobbia Pietro, Cupil-Garcia Vanessa, Crawford Bridget M, Fales Andrew M, Pfefer T Joshua, Liu Yang, Maiwald Martin, Sumpf Bernd, Vo-Dinh Tuan
Fitzpatrick Institute for Photonics, Duke University, Durham, NC, USA.
Department of Biomedical Engineering, Duke University, Durham, NC, USA.
Theranostics. 2021 Feb 19;11(9):4090-4102. doi: 10.7150/thno.53101. eCollection 2021.
For the majority of cancer patients, surgery is the primary method of treatment. In these cases, accurately removing the entire tumor without harming surrounding tissue is critical; however, due to the lack of intraoperative imaging techniques, surgeons rely on visual and physical inspection to identify tumors. Surface-enhanced Raman scattering (SERS) is emerging as a non-invasive optical alternative for intraoperative tumor identification, with high accuracy and stability. However, Raman detection requires dark rooms to work, which is not consistent with surgical settings. Herein, we used SERS nanoprobes combined with shifted-excitation Raman difference spectroscopy (SERDS) detection, to accurately detect tumors in xenograft murine model. We demonstrate for the first time the use of SERDS for tumor detection in a murine model under ambient light conditions. We compare traditional Raman detection with SERDS, showing that our method can improve sensitivity and accuracy for this task. Our results show that this method can be used to improve the accuracy and robustness of Raman/SERS biomedical application, aiding the process of clinical translation of these technologies.
对于大多数癌症患者来说，手术是主要的治疗方法。在这些情况下，在不损害周围组织的前提下准确切除整个肿瘤至关重要；然而，由于缺乏术中成像技术，外科医生依靠视觉和物理检查来识别肿瘤。表面增强拉曼散射（SERS）作为一种用于术中肿瘤识别的非侵入性光学替代方法正在兴起，具有高准确性和稳定性。然而，拉曼检测需要在暗室中进行，这与手术环境不一致。在此，我们使用SERS纳米探针结合位移激发拉曼差光谱（SERDS）检测，在异种移植小鼠模型中准确检测肿瘤。我们首次证明了在环境光条件下，SERDS可用于小鼠模型中的肿瘤检测。我们将传统拉曼检测与SERDS进行了比较，结果表明我们的方法可以提高这项任务的灵敏度和准确性。我们的结果表明，该方法可用于提高拉曼/SERS生物医学应用的准确性和稳健性，有助于这些技术的临床转化进程。
