{"title":"4-Thiobenzoic acid-functionalized nanocomposite probes for surface-enhanced raman spectroscopy-based detection of CA19-9 in colorectal adenocarcinoma","authors":"Yinan Hu, Tao Liu, Bo Guo, Miao Ni, Yanrong Li","doi":"10.1016/j.aej.2025.01.122","DOIUrl":null,"url":null,"abstract":"<div><div>This study presents a novel surface-enhanced Raman spectroscopy (SERS) method for detecting CA19–9 in colorectal adenocarcinoma using 4-thiobenzoic acid (4-TBA) functionalized gold nanoparticles (nanospheres). The optimized SERS probes exhibited a maximum enhancement at pH 7 and 50 μM 4-TBA concentration, with stable signal achieved after 2 hours of incubation. The assay demonstrated a wide dynamic range of 1–100 U/mL, with a lower limit of quantification of 1.0 U/mL. Excellent selectivity was observed against common serum interferents, with normalized SERS intensities within 10 % of CA19–9 alone. Recovery studies in spiked serum samples yielded results ranging from 94.5 % to 105.2 %, indicating minimal matrix effects. Clinical validation using 70 serum samples (50 colorectal adenocarcinoma patients, 20 healthy volunteers) showed strong agreement with a commercial ELISA kit (Pearson's r = 0.987, p < 0.0001). Bland-Altman analysis revealed a mean bias of −0.37 U/mL between SERS and ELISA methods. The SERS-based approach offers advantages including rapid analysis (<1 hour), small sample volume requirements (5–10 μL), and potential for multiplexing. This method shows promise for early detection, disease monitoring, and treatment response evaluation in colorectal adenocarcinoma, with potential applications in both clinical and research settings.</div></div>","PeriodicalId":7484,"journal":{"name":"alexandria engineering journal","volume":"119 ","pages":"Pages 259-266"},"PeriodicalIF":6.2000,"publicationDate":"2025-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"alexandria engineering journal","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1110016825001498","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
Abstract
This study presents a novel surface-enhanced Raman spectroscopy (SERS) method for detecting CA19–9 in colorectal adenocarcinoma using 4-thiobenzoic acid (4-TBA) functionalized gold nanoparticles (nanospheres). The optimized SERS probes exhibited a maximum enhancement at pH 7 and 50 μM 4-TBA concentration, with stable signal achieved after 2 hours of incubation. The assay demonstrated a wide dynamic range of 1–100 U/mL, with a lower limit of quantification of 1.0 U/mL. Excellent selectivity was observed against common serum interferents, with normalized SERS intensities within 10 % of CA19–9 alone. Recovery studies in spiked serum samples yielded results ranging from 94.5 % to 105.2 %, indicating minimal matrix effects. Clinical validation using 70 serum samples (50 colorectal adenocarcinoma patients, 20 healthy volunteers) showed strong agreement with a commercial ELISA kit (Pearson's r = 0.987, p < 0.0001). Bland-Altman analysis revealed a mean bias of −0.37 U/mL between SERS and ELISA methods. The SERS-based approach offers advantages including rapid analysis (<1 hour), small sample volume requirements (5–10 μL), and potential for multiplexing. This method shows promise for early detection, disease monitoring, and treatment response evaluation in colorectal adenocarcinoma, with potential applications in both clinical and research settings.
期刊介绍:
Alexandria Engineering Journal is an international journal devoted to publishing high quality papers in the field of engineering and applied science. Alexandria Engineering Journal is cited in the Engineering Information Services (EIS) and the Chemical Abstracts (CA). The papers published in Alexandria Engineering Journal are grouped into five sections, according to the following classification:
• Mechanical, Production, Marine and Textile Engineering
• Electrical Engineering, Computer Science and Nuclear Engineering
• Civil and Architecture Engineering
• Chemical Engineering and Applied Sciences
• Environmental Engineering