<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Mahmoudi T</submitter><funding>Tabriz University of Medical Sciences</funding><funding>The Iran National Science Foundation</funding><pagination>392</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC8534016</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>11(10)</volume><pubmed_abstract>Real-time connectivity and employment of sustainable materials empowers point-of-care diagnostics with the capability to send clinically relevant data to health care providers even in low-resource settings. In this study, we developed an advantageous kit for the on-site detection of carcinoembryonic antigen (CEA) in human serum. CEA sensing was performed using cellulose-based lateral flow strips, and colorimetric signals were read, processed, and measured using a smartphone-based system. The corresponding immunoreaction was reported by polydopamine-modified gold nanoparticles in order to boost the signal intensity and improve the surface blocking and signal-to-noise relationship, thereby enhancing detection sensitivity when compared with bare gold nanoparticles (up to 20-fold in terms of visual limit of detection). Such lateral flow strips showed a linear range from 0.05 to 50 ng/mL, with a visual limit of detection of 0.05 ng/mL and an assay time of 15 min. Twenty-six clinical samples were also tested using the proposed kit and compared with the gold standard of immunoassays (enzyme linked immunosorbent assay), demonstrating an excellent correlation (R = 0.99). This approach can potentially be utilized for the monitoring of cancer treatment, particularly at locations far from centralized laboratory facilities.</pubmed_abstract><journal>Biosensors</journal><pubmed_title>On-Site Detection of Carcinoembryonic Antigen in Human Serum.</pubmed_title><pmcid>PMC8534016</pmcid><funding_grant_id>97001910</funding_grant_id><funding_grant_id>60836 and 63253</funding_grant_id><pubmed_authors>Golmohammadi H</pubmed_authors><pubmed_authors>Mahmoudi T</pubmed_authors><pubmed_authors>Baradaran B</pubmed_authors><pubmed_authors>Pourhassan-Moghaddam M</pubmed_authors><pubmed_authors>Morales-Narvaez E</pubmed_authors><pubmed_authors>Shirdel B</pubmed_authors></additional><is_claimable>false</is_claimable><name>On-Site Detection of Carcinoembryonic Antigen in Human Serum.</name><description>Real-time connectivity and employment of sustainable materials empowers point-of-care diagnostics with the capability to send clinically relevant data to health care providers even in low-resource settings. In this study, we developed an advantageous kit for the on-site detection of carcinoembryonic antigen (CEA) in human serum. CEA sensing was performed using cellulose-based lateral flow strips, and colorimetric signals were read, processed, and measured using a smartphone-based system. The corresponding immunoreaction was reported by polydopamine-modified gold nanoparticles in order to boost the signal intensity and improve the surface blocking and signal-to-noise relationship, thereby enhancing detection sensitivity when compared with bare gold nanoparticles (up to 20-fold in terms of visual limit of detection). Such lateral flow strips showed a linear range from 0.05 to 50 ng/mL, with a visual limit of detection of 0.05 ng/mL and an assay time of 15 min. Twenty-six clinical samples were also tested using the proposed kit and compared with the gold standard of immunoassays (enzyme linked immunosorbent assay), demonstrating an excellent correlation (R = 0.99). This approach can potentially be utilized for the monitoring of cancer treatment, particularly at locations far from centralized laboratory facilities.</description><dates><release>2021-01-01T00:00:00Z</release><publication>2021 Oct</publication><modification>2025-04-04T13:16:57.603Z</modification><creation>2025-04-04T13:16:57.603Z</creation></dates><accession>S-EPMC8534016</accession><cross_references><pubmed>34677348</pubmed><doi>10.3390/bios11100392</doi></cross_references></HashMap>