유수웅 (전남대학교)

한빛사논문

조회97

전남대학교

CV File 373 kb

Biosens. Bioelectron., Aug 03 2024, 264 S0956-5663(24)00639-0 | https://doi.org/10.1016/j.bios.2024.116633 Machine learning-assisted label-free colorectal cancer diagnosis using plasmonic needle-endoscopy system

Kangseok Jo^a,b,1, Vo Thi Nhat Linh ^a,1, Jun-Yeong Yang ^a, Boyou Heo ^a, Jun Young Kim ^a, Na Eun Mun ^c,d,e, Jin Hee Im ^d,e, Ki Su Kim ^b, Sung-Gyu Park ^a, Min-Young Lee ^a, Su Woong Yoo ^c,d,e, Ho Sang Jung ^a,f,g

^aAdvanced Bio and Healthcare Materials Research Division, Korea Institute of Materials Science (KIMS), Changwon, 51508, South Korea

^bSchool of Chemical Engineering, Pusan National University, Busan, 46241, South Korea

^cBiomedical Science Graduate Program, Chonnam National University, Hwasun, 58128, South Korea

^dDepartment of Nuclear Medicine, Chonnam National University Medical School and Hwasun Hospital, Hwasun, 58128, South Korea

^eInstitute for Molecular Imaging and Theranostics, Chonnam National University Medical School, Hwasun, 58128, South Korea

^fAdvanced Materials Engineering Division, University of Science and Technology (UST), Daejeon, 34113, South Korea

^gSchool of Convergence Science and Technology, Medical Science and Engineering, Pohang University of Science and Technology (POSTECH), Pohang, 37673, South Korea

¹These authors contributed equally.

Corresponding authors: Su Woong Yoo, Ho Sang Jung

Abstract

Early and accurate detection of colorectal cancer (CRC) is critical for improving patient outcomes. Existing diagnostic techniques are often invasive and carry risks of complications. Herein, we introduce a plasmonic gold nanopolyhedron (AuNH)-coated needle-based surface-enhanced Raman scattering (SERS) sensor, integrated with endoscopy, for direct mucus sampling and label-free detection of CRC. The thin and flexible stainless-steel needle is coated with polymerized dopamine, which serves as an adhesive layer and simultaneously initiates the nucleation of gold nanoparticle (AuNP) seeds on the needle surface. The AuNP seeds are further grown through a surface-directed reduction using Au ions-hydroxylamine hydrochloride solution, resulting in the formation of dense AuNHs. The formation mechanism of AuNHs and the layered structure of the plasmonic needle-based SERS (PNS) sensor are thoroughly analyzed. Furthermore, a strong field enhancement of the PNS sensor is observed, amplified around the edges of the polyhedral shapes and at nanogap sites between AuNHs. The feasibility of the PNS sensor combined with endoscopy system is further investigated using mouse models for direct colonic mucus sampling and verifying noninvasive label-free classification of CRC from normal controls. A logistic regression-based machine learning method is employed and successfully differentiates CRC and normal mice, achieving 100% sensitivity, 93.33% specificity, and 96.67% accuracy. Moreover, Raman profiling of metabolites and their correlations with Raman signals of mucus samples are analyzed using the Pearson correlation coefficient, offering insights for identifying potential cancer biomarkers. The developed PNS-assisted endoscopy technology is expected to advance the early screening and diagnosis approach of CRC in the future.

논문정보

형식Research article
게재일2024년 08월 (BRIC 등록일 2024-08-13)
연구진국내 연구진
분야 바이오·의료융합 > 바이오센싱 및 나노바이오물질

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