Loading…

Adiponectin-targeted SERS immunoassay biosensing platform for early detection of gestational diabetes mellitus

The anisotropic gold nanotriangles (AuNTs) were synthesized by a fast seedless growth process. The high-yield monodispersed AuNT colloids were obtained through a purification process based on depletion-induced interactions. AuNTs were modulated with a localized surface plasmon resonance (LSPR) peak...

Full description

Saved in:
Bibliographic Details
Published in:Biosensors & bioelectronics 2022-10, Vol.213, p.114488-114488, Article 114488
Main Authors: Kim, Wansun, Bang, Ayoung, Kim, Soogeun, Lee, Gi-Ja, Kim, Yeon-Hee, Choi, Samjin
Format: Article
Language:English
Subjects:
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by cdi_FETCH-LOGICAL-c333t-2ae6cb90dd4ef7556dc0cabbba889cb9484b656cbb1b6ba1618889da9ceab3f33
cites cdi_FETCH-LOGICAL-c333t-2ae6cb90dd4ef7556dc0cabbba889cb9484b656cbb1b6ba1618889da9ceab3f33
container_end_page 114488
container_issue
container_start_page 114488
container_title Biosensors & bioelectronics
container_volume 213
creator Kim, Wansun
Bang, Ayoung
Kim, Soogeun
Lee, Gi-Ja
Kim, Yeon-Hee
Choi, Samjin
description The anisotropic gold nanotriangles (AuNTs) were synthesized by a fast seedless growth process. The high-yield monodispersed AuNT colloids were obtained through a purification process based on depletion-induced interactions. AuNTs were modulated with a localized surface plasmon resonance (LSPR) peak of 638 nm wavelength coherent with the Raman excitation light. However, from finite element computation results, the AuNT clusters showed better performance for the 785 nm laser source due to a red shift in their LSPR properties, hence it was selected for the surface-enhanced Raman scattering (SERS) immunoassay. A self-assembly strategy using a thiol group and ON-OFF strategy in the heat map was performed to ensure the stability of SERS immunoassay platform. The sandwich SERS immunoassay biosensor platform for adiponectin detection demonstrated a wide assay range (10–15–10–6 g/mL), good reliability (R2 = 0.994, clinically relevant range), femto-scale limit of detection (3.0 × 10–16 g/mL), and excellent selectivity without interference from other biomarkers. This showed the possibility of effectively detecting adiponectin levels in the biofluids of pregnant women. Therefore, our technology is the first to quantitatively detect adiponectin based on SERS technology for early detection of gestational diabetes mellitus and has the potential to be used as a clinical biosensor capable of diagnosing various obstetric diseases during early pregnancy. •The SERS immunoassay biosensor was first proposed for early detection of GDM.•High-yield AuNTs were synthesized by one-pot seedless and depletion-induced interaction methods.•Thiol-based self-assembly and ON-OFF strategies were performed to ensure the stability of SERS biosensor.•The SERS immunoassay biosensor showed femto-scale LOD, good reliability, and excellent selectivity.
doi_str_mv 10.1016/j.bios.2022.114488
format article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_2681048414</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S0956566322005280</els_id><sourcerecordid>2681048414</sourcerecordid><originalsourceid>FETCH-LOGICAL-c333t-2ae6cb90dd4ef7556dc0cabbba889cb9484b656cbb1b6ba1618889da9ceab3f33</originalsourceid><addsrcrecordid>eNp9UMlqwzAQFaWFpssP9KRjL04ly1Zs6KWEdIFCoctZjKRxULClVLIL-fvKpOdeZhjewptHyA1nS864vNsttQtpWbKyXHJeVU1zQha8WYmiKkV9ShasrWVRSynOyUVKO8bYirdsQfyDdfvg0YzOFyPELY5o6cfm_YO6YZh8gJTgQGd39Mn5Ld33MHYhDjQPihD7A7VZlA2Cp6GjW0wjzAf01DrQGUt0wL5345SuyFkHfcLrv31Jvh43n-vn4vXt6WX98FoYIcRYlIDS6JZZW2G3qmtpDTOgtYamaTNQNZWWdaZorqUGLnmTAQutQdCiE-KS3B599zF8TzmRGlwyOQR4DFNSpWw4yy68ytTySDUxpBSxU_voBogHxZmay1U7Nb-v5nLVsdwsuj-KMD_x4zCqZBx6g9bFXIWywf0n_wUfioa5</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2681048414</pqid></control><display><type>article</type><title>Adiponectin-targeted SERS immunoassay biosensing platform for early detection of gestational diabetes mellitus</title><source>ScienceDirect Journals</source><creator>Kim, Wansun ; Bang, Ayoung ; Kim, Soogeun ; Lee, Gi-Ja ; Kim, Yeon-Hee ; Choi, Samjin</creator><creatorcontrib>Kim, Wansun ; Bang, Ayoung ; Kim, Soogeun ; Lee, Gi-Ja ; Kim, Yeon-Hee ; Choi, Samjin</creatorcontrib><description>The anisotropic gold nanotriangles (AuNTs) were synthesized by a fast seedless growth process. The high-yield monodispersed AuNT colloids were obtained through a purification process based on depletion-induced interactions. AuNTs were modulated with a localized surface plasmon resonance (LSPR) peak of 638 nm wavelength coherent with the Raman excitation light. However, from finite element computation results, the AuNT clusters showed better performance for the 785 nm laser source due to a red shift in their LSPR properties, hence it was selected for the surface-enhanced Raman scattering (SERS) immunoassay. A self-assembly strategy using a thiol group and ON-OFF strategy in the heat map was performed to ensure the stability of SERS immunoassay platform. The sandwich SERS immunoassay biosensor platform for adiponectin detection demonstrated a wide assay range (10–15–10–6 g/mL), good reliability (R2 = 0.994, clinically relevant range), femto-scale limit of detection (3.0 × 10–16 g/mL), and excellent selectivity without interference from other biomarkers. This showed the possibility of effectively detecting adiponectin levels in the biofluids of pregnant women. Therefore, our technology is the first to quantitatively detect adiponectin based on SERS technology for early detection of gestational diabetes mellitus and has the potential to be used as a clinical biosensor capable of diagnosing various obstetric diseases during early pregnancy. •The SERS immunoassay biosensor was first proposed for early detection of GDM.•High-yield AuNTs were synthesized by one-pot seedless and depletion-induced interaction methods.•Thiol-based self-assembly and ON-OFF strategies were performed to ensure the stability of SERS biosensor.•The SERS immunoassay biosensor showed femto-scale LOD, good reliability, and excellent selectivity.</description><identifier>ISSN: 0956-5663</identifier><identifier>EISSN: 1873-4235</identifier><identifier>DOI: 10.1016/j.bios.2022.114488</identifier><language>eng</language><publisher>Elsevier B.V</publisher><subject>Adiponectin ; Finite element computation ; Gestational diabetes mellitus ; Gold nanotriangle ; Self-assembly immobilization ; SERS immunoassay</subject><ispartof>Biosensors &amp; bioelectronics, 2022-10, Vol.213, p.114488-114488, Article 114488</ispartof><rights>2022 Elsevier B.V.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c333t-2ae6cb90dd4ef7556dc0cabbba889cb9484b656cbb1b6ba1618889da9ceab3f33</citedby><cites>FETCH-LOGICAL-c333t-2ae6cb90dd4ef7556dc0cabbba889cb9484b656cbb1b6ba1618889da9ceab3f33</cites><orcidid>0000-0003-3498-0652</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids></links><search><creatorcontrib>Kim, Wansun</creatorcontrib><creatorcontrib>Bang, Ayoung</creatorcontrib><creatorcontrib>Kim, Soogeun</creatorcontrib><creatorcontrib>Lee, Gi-Ja</creatorcontrib><creatorcontrib>Kim, Yeon-Hee</creatorcontrib><creatorcontrib>Choi, Samjin</creatorcontrib><title>Adiponectin-targeted SERS immunoassay biosensing platform for early detection of gestational diabetes mellitus</title><title>Biosensors &amp; bioelectronics</title><description>The anisotropic gold nanotriangles (AuNTs) were synthesized by a fast seedless growth process. The high-yield monodispersed AuNT colloids were obtained through a purification process based on depletion-induced interactions. AuNTs were modulated with a localized surface plasmon resonance (LSPR) peak of 638 nm wavelength coherent with the Raman excitation light. However, from finite element computation results, the AuNT clusters showed better performance for the 785 nm laser source due to a red shift in their LSPR properties, hence it was selected for the surface-enhanced Raman scattering (SERS) immunoassay. A self-assembly strategy using a thiol group and ON-OFF strategy in the heat map was performed to ensure the stability of SERS immunoassay platform. The sandwich SERS immunoassay biosensor platform for adiponectin detection demonstrated a wide assay range (10–15–10–6 g/mL), good reliability (R2 = 0.994, clinically relevant range), femto-scale limit of detection (3.0 × 10–16 g/mL), and excellent selectivity without interference from other biomarkers. This showed the possibility of effectively detecting adiponectin levels in the biofluids of pregnant women. Therefore, our technology is the first to quantitatively detect adiponectin based on SERS technology for early detection of gestational diabetes mellitus and has the potential to be used as a clinical biosensor capable of diagnosing various obstetric diseases during early pregnancy. •The SERS immunoassay biosensor was first proposed for early detection of GDM.•High-yield AuNTs were synthesized by one-pot seedless and depletion-induced interaction methods.•Thiol-based self-assembly and ON-OFF strategies were performed to ensure the stability of SERS biosensor.•The SERS immunoassay biosensor showed femto-scale LOD, good reliability, and excellent selectivity.</description><subject>Adiponectin</subject><subject>Finite element computation</subject><subject>Gestational diabetes mellitus</subject><subject>Gold nanotriangle</subject><subject>Self-assembly immobilization</subject><subject>SERS immunoassay</subject><issn>0956-5663</issn><issn>1873-4235</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><recordid>eNp9UMlqwzAQFaWFpssP9KRjL04ly1Zs6KWEdIFCoctZjKRxULClVLIL-fvKpOdeZhjewptHyA1nS864vNsttQtpWbKyXHJeVU1zQha8WYmiKkV9ShasrWVRSynOyUVKO8bYirdsQfyDdfvg0YzOFyPELY5o6cfm_YO6YZh8gJTgQGd39Mn5Ld33MHYhDjQPihD7A7VZlA2Cp6GjW0wjzAf01DrQGUt0wL5345SuyFkHfcLrv31Jvh43n-vn4vXt6WX98FoYIcRYlIDS6JZZW2G3qmtpDTOgtYamaTNQNZWWdaZorqUGLnmTAQutQdCiE-KS3B599zF8TzmRGlwyOQR4DFNSpWw4yy68ytTySDUxpBSxU_voBogHxZmay1U7Nb-v5nLVsdwsuj-KMD_x4zCqZBx6g9bFXIWywf0n_wUfioa5</recordid><startdate>20221001</startdate><enddate>20221001</enddate><creator>Kim, Wansun</creator><creator>Bang, Ayoung</creator><creator>Kim, Soogeun</creator><creator>Lee, Gi-Ja</creator><creator>Kim, Yeon-Hee</creator><creator>Choi, Samjin</creator><general>Elsevier B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0003-3498-0652</orcidid></search><sort><creationdate>20221001</creationdate><title>Adiponectin-targeted SERS immunoassay biosensing platform for early detection of gestational diabetes mellitus</title><author>Kim, Wansun ; Bang, Ayoung ; Kim, Soogeun ; Lee, Gi-Ja ; Kim, Yeon-Hee ; Choi, Samjin</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c333t-2ae6cb90dd4ef7556dc0cabbba889cb9484b656cbb1b6ba1618889da9ceab3f33</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Adiponectin</topic><topic>Finite element computation</topic><topic>Gestational diabetes mellitus</topic><topic>Gold nanotriangle</topic><topic>Self-assembly immobilization</topic><topic>SERS immunoassay</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Kim, Wansun</creatorcontrib><creatorcontrib>Bang, Ayoung</creatorcontrib><creatorcontrib>Kim, Soogeun</creatorcontrib><creatorcontrib>Lee, Gi-Ja</creatorcontrib><creatorcontrib>Kim, Yeon-Hee</creatorcontrib><creatorcontrib>Choi, Samjin</creatorcontrib><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Biosensors &amp; bioelectronics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Kim, Wansun</au><au>Bang, Ayoung</au><au>Kim, Soogeun</au><au>Lee, Gi-Ja</au><au>Kim, Yeon-Hee</au><au>Choi, Samjin</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Adiponectin-targeted SERS immunoassay biosensing platform for early detection of gestational diabetes mellitus</atitle><jtitle>Biosensors &amp; bioelectronics</jtitle><date>2022-10-01</date><risdate>2022</risdate><volume>213</volume><spage>114488</spage><epage>114488</epage><pages>114488-114488</pages><artnum>114488</artnum><issn>0956-5663</issn><eissn>1873-4235</eissn><abstract>The anisotropic gold nanotriangles (AuNTs) were synthesized by a fast seedless growth process. The high-yield monodispersed AuNT colloids were obtained through a purification process based on depletion-induced interactions. AuNTs were modulated with a localized surface plasmon resonance (LSPR) peak of 638 nm wavelength coherent with the Raman excitation light. However, from finite element computation results, the AuNT clusters showed better performance for the 785 nm laser source due to a red shift in their LSPR properties, hence it was selected for the surface-enhanced Raman scattering (SERS) immunoassay. A self-assembly strategy using a thiol group and ON-OFF strategy in the heat map was performed to ensure the stability of SERS immunoassay platform. The sandwich SERS immunoassay biosensor platform for adiponectin detection demonstrated a wide assay range (10–15–10–6 g/mL), good reliability (R2 = 0.994, clinically relevant range), femto-scale limit of detection (3.0 × 10–16 g/mL), and excellent selectivity without interference from other biomarkers. This showed the possibility of effectively detecting adiponectin levels in the biofluids of pregnant women. Therefore, our technology is the first to quantitatively detect adiponectin based on SERS technology for early detection of gestational diabetes mellitus and has the potential to be used as a clinical biosensor capable of diagnosing various obstetric diseases during early pregnancy. •The SERS immunoassay biosensor was first proposed for early detection of GDM.•High-yield AuNTs were synthesized by one-pot seedless and depletion-induced interaction methods.•Thiol-based self-assembly and ON-OFF strategies were performed to ensure the stability of SERS biosensor.•The SERS immunoassay biosensor showed femto-scale LOD, good reliability, and excellent selectivity.</abstract><pub>Elsevier B.V</pub><doi>10.1016/j.bios.2022.114488</doi><tpages>1</tpages><orcidid>https://orcid.org/0000-0003-3498-0652</orcidid></addata></record>
fulltext fulltext
identifier ISSN: 0956-5663
ispartof Biosensors & bioelectronics, 2022-10, Vol.213, p.114488-114488, Article 114488
issn 0956-5663
1873-4235
language eng
recordid cdi_proquest_miscellaneous_2681048414
source ScienceDirect Journals
subjects Adiponectin
Finite element computation
Gestational diabetes mellitus
Gold nanotriangle
Self-assembly immobilization
SERS immunoassay
title Adiponectin-targeted SERS immunoassay biosensing platform for early detection of gestational diabetes mellitus
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-02T10%3A11%3A19IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Adiponectin-targeted%20SERS%20immunoassay%20biosensing%20platform%20for%20early%20detection%20of%20gestational%20diabetes%20mellitus&rft.jtitle=Biosensors%20&%20bioelectronics&rft.au=Kim,%20Wansun&rft.date=2022-10-01&rft.volume=213&rft.spage=114488&rft.epage=114488&rft.pages=114488-114488&rft.artnum=114488&rft.issn=0956-5663&rft.eissn=1873-4235&rft_id=info:doi/10.1016/j.bios.2022.114488&rft_dat=%3Cproquest_cross%3E2681048414%3C/proquest_cross%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c333t-2ae6cb90dd4ef7556dc0cabbba889cb9484b656cbb1b6ba1618889da9ceab3f33%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=2681048414&rft_id=info:pmid/&rfr_iscdi=true