LoC-SERS detection platform based on targeted signal anchoring mechanism, high-sensitivity detection of protein biomarkers in precancerous lesions of gastric cancer

IF 6.1 1区 化学 Q1 CHEMISTRY, ANALYTICAL Talanta Pub Date : 2025-11-01 Epub Date: 2025-04-18 DOI:10.1016/j.talanta.2025.128190
Yanwen Zhuang , Feng Lu , Xiaoyong Wang , Jie Yao , Yong Wan , Shichen Qin , Xiaowei Cao , Jinxin Sheng
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Abstract

In this study, a novel lab-on-a-chip surface-enhanced Raman scattering (LoC-SERS) analysis platform was developed based on chip laboratory for monitoring precancerous lesions of GC. The platform integrated graphene-like Au nano-hexagonal arrays (Au NHAs) as a high-efficiency plasma substrate with the highly integrated microarray chip as an ideal system for sensitive recognition and rapid quantification of matrix metalloproteinase-9 (MMP-9) and interleukin-6 (IL-6) based on the targeted signal anchoring mechanism. Au NHAs were surface modified to form a double stranded structure with aptamer chains and single stranded DNA1 (ssDNA1), Au nanobipyramid with Ag shell (Au NBP@Ag) surface modified single stranded DNA2 (ssDNA2) and Raman signaling molecules. When the target is present, the aptamer specifically captures the target protein and detaches from the Au NHAs surface, exposing ssDNA1 and ssDNA2 to pair and bind. This resulted in the Au NBP@Ag probe carrying the signaling molecule anchoring to the surface of Au NHAs, thereby enhancing the SERS signal. The platform demonstrated excellent detection efficiency and could complete detection tasks within 20 min. The platform can detect MMP-9 and IL-6 at levels down to the pg/mL order of magnitude, demonstrating excellent detection sensitivity. In addition, the platform has the capability of simultaneous dual-target detection, demonstrating good clinical applicability and accuracy when testing real serum samples. Overall, this platform provides an efficient solution for early diagnosis and progression monitoring of precancerous lesions of GC, further providing a scientific basis for clinical decision-making and intervention.

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基于靶向信号锚定机制的LoC-SERS检测平台,高灵敏度检测胃癌癌前病变中的蛋白生物标志物
本研究开发了一种基于芯片实验室的新型片上实验室表面增强拉曼散射(LoC-SERS)分析平台,用于监测 GC 癌前病变。该平台集成了石墨烯类金纳米六方阵列(Au NHAs)作为高效等离子体基底,以及高度集成的微阵列芯片,是基于靶向信号锚定机制灵敏识别和快速定量基质金属蛋白酶-9(MMP-9)和白细胞介素-6(IL-6)的理想系统。Au NHA经表面修饰后与aptamer链和单股DNA1(ssDNA1)形成双链结构,Au纳米双锥体与Ag外壳(Au NBP@Ag)表面修饰的单股DNA2(ssDNA2)和拉曼信号分子形成双链结构。当目标出现时,适配体会特异性地捕获目标蛋白质,并从金 NBP@Ag 表面脱离,从而使 ssDNA1 和 ssDNA2 配对并结合。这使得携带信号分子的 Au NBP@Ag 探针锚定在 Au NHAs 表面,从而增强了 SERS 信号。该平台表现出卓越的检测效率,可在 20 分钟内完成检测任务。该平台可以检测到低至皮克/毫升数量级的 MMP-9 和 IL-6,表现出极佳的检测灵敏度。此外,该平台还能同时进行双目标检测,在检测真实血清样本时具有良好的临床适用性和准确性。总之,该平台为 GC 癌前病变的早期诊断和进展监测提供了有效的解决方案,进一步为临床决策和干预提供了科学依据。
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来源期刊
Talanta
Talanta 化学-分析化学
CiteScore
12.30
自引率
4.90%
发文量
861
审稿时长
29 days
期刊介绍: Talanta provides a forum for the publication of original research papers, short communications, and critical reviews in all branches of pure and applied analytical chemistry. Papers are evaluated based on established guidelines, including the fundamental nature of the study, scientific novelty, substantial improvement or advantage over existing technology or methods, and demonstrated analytical applicability. Original research papers on fundamental studies, and on novel sensor and instrumentation developments, are encouraged. Novel or improved applications in areas such as clinical and biological chemistry, environmental analysis, geochemistry, materials science and engineering, and analytical platforms for omics development are welcome. Analytical performance of methods should be determined, including interference and matrix effects, and methods should be validated by comparison with a standard method, or analysis of a certified reference material. Simple spiking recoveries may not be sufficient. The developed method should especially comprise information on selectivity, sensitivity, detection limits, accuracy, and reliability. However, applying official validation or robustness studies to a routine method or technique does not necessarily constitute novelty. Proper statistical treatment of the data should be provided. Relevant literature should be cited, including related publications by the authors, and authors should discuss how their proposed methodology compares with previously reported methods.
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