Label-Free Surface-Enhanced Raman Spectroscopy Biosensor for On-Site Breast Cancer Detection Using Human Tears
Surface-enhanced Raman scattering (SERS) is an ultrasensitive molecular screening technique with greatly enhanced Raman scattering signals from trace amounts of analytes near plasmonic nanostructures. However, research on the development of a sensor that balances signal enhancement, reproducibility,...
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| Veröffentlicht in: | ACS applied materials & interfaces 2020-02, Vol.12 (7), p.7897-7904 |
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| creator | Kim, Soogeun Kim, Tae Gi Lee, Soo Hyun Kim, Wansun Bang, Ayoung Moon, Sang Woong Song, Jeongyoon Shin, Jae-Ho Yu, Jae Su Choi, Samjin |
| description | Surface-enhanced Raman scattering (SERS) is an ultrasensitive molecular screening technique with greatly enhanced Raman scattering signals from trace amounts of analytes near plasmonic nanostructures. However, research on the development of a sensor that balances signal enhancement, reproducibility, and uniformity has not yet been proposed for practical applications. In this study, we demonstrate the potential of the practical application for detecting or predicting asymptomatic breast cancer from human tears using a portable Raman spectrometer with an identification algorithm based on multivariate statistics. This potentiality was realized through the fabrication of a plasmonic SERS substrate equipped with a well-aligned, gold-decorated, hexagonal-close-packed polystyrene (Au/HCP-PS) nanosphere monolayer that provided femtomole-scale detection, giga-scale enhancement, and |
| doi_str_mv | 10.1021/acsami.9b19421 |
| format | Article |
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However, research on the development of a sensor that balances signal enhancement, reproducibility, and uniformity has not yet been proposed for practical applications. In this study, we demonstrate the potential of the practical application for detecting or predicting asymptomatic breast cancer from human tears using a portable Raman spectrometer with an identification algorithm based on multivariate statistics. This potentiality was realized through the fabrication of a plasmonic SERS substrate equipped with a well-aligned, gold-decorated, hexagonal-close-packed polystyrene (Au/HCP-PS) nanosphere monolayer that provided femtomole-scale detection, giga-scale enhancement, and <5% relative standard deviation for reliability and reproducibility, regardless of the measuring site. Our results can provide a first step toward developing a noninvasive, real-time screening technology for detecting asymptomatic tumors and preventing tumor recurrence.</description><identifier>ISSN: 1944-8244</identifier><identifier>EISSN: 1944-8252</identifier><identifier>DOI: 10.1021/acsami.9b19421</identifier><identifier>PMID: 31971765</identifier><language>eng</language><publisher>United States: American Chemical Society</publisher><subject>Algorithms ; Biomarkers, Tumor - chemistry ; Biosensing Techniques - methods ; Breast Neoplasms - chemistry ; Breast Neoplasms - diagnosis ; Breast Neoplasms - diagnostic imaging ; Female ; Gold - chemistry ; Humans ; Limit of Detection ; Metal Nanoparticles - chemistry ; Microscopy, Atomic Force ; Microscopy, Electron, Scanning ; Nanospheres - chemistry ; Nanospheres - ultrastructure ; Naphthalenes - chemistry ; Polystyrenes - chemistry ; Reproducibility of Results ; Signal-To-Noise Ratio ; Spectrum Analysis, Raman - methods ; Sulfhydryl Compounds - chemistry ; Tears - diagnostic imaging ; Unilamellar Liposomes - chemical synthesis ; Unilamellar Liposomes - chemistry ; X-Ray Diffraction</subject><ispartof>ACS applied materials & interfaces, 2020-02, Vol.12 (7), p.7897-7904</ispartof><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-a396t-94e10aa2ce386b10c94673288bdf0c1a5cb952c06790647ce6851ab07adabffc3</citedby><cites>FETCH-LOGICAL-a396t-94e10aa2ce386b10c94673288bdf0c1a5cb952c06790647ce6851ab07adabffc3</cites><orcidid>0000-0001-5483-6661 ; 0000-0003-3498-0652 ; 0000-0003-0258-7936</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://pubs.acs.org/doi/pdf/10.1021/acsami.9b19421$$EPDF$$P50$$Gacs$$H</linktopdf><linktohtml>$$Uhttps://pubs.acs.org/doi/10.1021/acsami.9b19421$$EHTML$$P50$$Gacs$$H</linktohtml><link.rule.ids>314,776,780,2752,27053,27901,27902,56713,56763</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/31971765$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Kim, Soogeun</creatorcontrib><creatorcontrib>Kim, Tae Gi</creatorcontrib><creatorcontrib>Lee, Soo Hyun</creatorcontrib><creatorcontrib>Kim, Wansun</creatorcontrib><creatorcontrib>Bang, Ayoung</creatorcontrib><creatorcontrib>Moon, Sang Woong</creatorcontrib><creatorcontrib>Song, Jeongyoon</creatorcontrib><creatorcontrib>Shin, Jae-Ho</creatorcontrib><creatorcontrib>Yu, Jae Su</creatorcontrib><creatorcontrib>Choi, Samjin</creatorcontrib><title>Label-Free Surface-Enhanced Raman Spectroscopy Biosensor for On-Site Breast Cancer Detection Using Human Tears</title><title>ACS applied materials & interfaces</title><addtitle>ACS Appl. Mater. Interfaces</addtitle><description>Surface-enhanced Raman scattering (SERS) is an ultrasensitive molecular screening technique with greatly enhanced Raman scattering signals from trace amounts of analytes near plasmonic nanostructures. However, research on the development of a sensor that balances signal enhancement, reproducibility, and uniformity has not yet been proposed for practical applications. In this study, we demonstrate the potential of the practical application for detecting or predicting asymptomatic breast cancer from human tears using a portable Raman spectrometer with an identification algorithm based on multivariate statistics. This potentiality was realized through the fabrication of a plasmonic SERS substrate equipped with a well-aligned, gold-decorated, hexagonal-close-packed polystyrene (Au/HCP-PS) nanosphere monolayer that provided femtomole-scale detection, giga-scale enhancement, and <5% relative standard deviation for reliability and reproducibility, regardless of the measuring site. Our results can provide a first step toward developing a noninvasive, real-time screening technology for detecting asymptomatic tumors and preventing tumor recurrence.</description><subject>Algorithms</subject><subject>Biomarkers, Tumor - chemistry</subject><subject>Biosensing Techniques - methods</subject><subject>Breast Neoplasms - chemistry</subject><subject>Breast Neoplasms - diagnosis</subject><subject>Breast Neoplasms - diagnostic imaging</subject><subject>Female</subject><subject>Gold - chemistry</subject><subject>Humans</subject><subject>Limit of Detection</subject><subject>Metal Nanoparticles - chemistry</subject><subject>Microscopy, Atomic Force</subject><subject>Microscopy, Electron, Scanning</subject><subject>Nanospheres - chemistry</subject><subject>Nanospheres - ultrastructure</subject><subject>Naphthalenes - chemistry</subject><subject>Polystyrenes - chemistry</subject><subject>Reproducibility of Results</subject><subject>Signal-To-Noise Ratio</subject><subject>Spectrum Analysis, Raman - methods</subject><subject>Sulfhydryl Compounds - chemistry</subject><subject>Tears - diagnostic imaging</subject><subject>Unilamellar Liposomes - chemical synthesis</subject><subject>Unilamellar Liposomes - chemistry</subject><subject>X-Ray Diffraction</subject><issn>1944-8244</issn><issn>1944-8252</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp1kL1PwzAUxC0EoqWwMiLPSCl2Ppx4pKUFpEqVaDtHz84LpGqcyE6G_ve4SunG8HRvuN_pdIQ8cjblLOQvoB3U1VQqLuOQX5Gx1zjIwiS8vvxxPCJ3zu0ZE1HIklsyirhMeSqSMTErUHgIlhaRbnpbgsZgYX7AaCzoF9Rg6KZF3dnG6aY90lnVODSusbT0tzbBpuqQziyC6-j8hFn6hp0nqsbQnavMN_3oTzFbBOvuyU0JB4cPZ52Q3XKxnX8Eq_X75_x1FUAkRRfIGDkDCDVGmVCcaRmLNAqzTBUl0xwSrWQSaiZSyUScahRZwkGxFApQZamjCZkOudoXdxbLvLVVDfaYc5afhsuH4fLzcB54GoC2VzUWF_vfUt7wPBg8mO-b3hrf_7-0X2aSeVo</recordid><startdate>20200219</startdate><enddate>20200219</enddate><creator>Kim, Soogeun</creator><creator>Kim, Tae Gi</creator><creator>Lee, Soo Hyun</creator><creator>Kim, Wansun</creator><creator>Bang, Ayoung</creator><creator>Moon, Sang Woong</creator><creator>Song, Jeongyoon</creator><creator>Shin, Jae-Ho</creator><creator>Yu, Jae Su</creator><creator>Choi, Samjin</creator><general>American Chemical Society</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><orcidid>https://orcid.org/0000-0001-5483-6661</orcidid><orcidid>https://orcid.org/0000-0003-3498-0652</orcidid><orcidid>https://orcid.org/0000-0003-0258-7936</orcidid></search><sort><creationdate>20200219</creationdate><title>Label-Free Surface-Enhanced Raman Spectroscopy Biosensor for On-Site Breast Cancer Detection Using Human Tears</title><author>Kim, Soogeun ; Kim, Tae Gi ; Lee, Soo Hyun ; Kim, Wansun ; Bang, Ayoung ; Moon, Sang Woong ; Song, Jeongyoon ; Shin, Jae-Ho ; Yu, Jae Su ; Choi, Samjin</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a396t-94e10aa2ce386b10c94673288bdf0c1a5cb952c06790647ce6851ab07adabffc3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Algorithms</topic><topic>Biomarkers, Tumor - chemistry</topic><topic>Biosensing Techniques - methods</topic><topic>Breast Neoplasms - chemistry</topic><topic>Breast Neoplasms - diagnosis</topic><topic>Breast Neoplasms - diagnostic imaging</topic><topic>Female</topic><topic>Gold - chemistry</topic><topic>Humans</topic><topic>Limit of Detection</topic><topic>Metal Nanoparticles - chemistry</topic><topic>Microscopy, Atomic Force</topic><topic>Microscopy, Electron, Scanning</topic><topic>Nanospheres - chemistry</topic><topic>Nanospheres - ultrastructure</topic><topic>Naphthalenes - chemistry</topic><topic>Polystyrenes - chemistry</topic><topic>Reproducibility of Results</topic><topic>Signal-To-Noise Ratio</topic><topic>Spectrum Analysis, Raman - methods</topic><topic>Sulfhydryl Compounds - chemistry</topic><topic>Tears - diagnostic imaging</topic><topic>Unilamellar Liposomes - chemical synthesis</topic><topic>Unilamellar Liposomes - chemistry</topic><topic>X-Ray Diffraction</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Kim, Soogeun</creatorcontrib><creatorcontrib>Kim, Tae Gi</creatorcontrib><creatorcontrib>Lee, Soo Hyun</creatorcontrib><creatorcontrib>Kim, Wansun</creatorcontrib><creatorcontrib>Bang, Ayoung</creatorcontrib><creatorcontrib>Moon, Sang Woong</creatorcontrib><creatorcontrib>Song, Jeongyoon</creatorcontrib><creatorcontrib>Shin, Jae-Ho</creatorcontrib><creatorcontrib>Yu, Jae Su</creatorcontrib><creatorcontrib>Choi, Samjin</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><jtitle>ACS applied materials & interfaces</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Kim, Soogeun</au><au>Kim, Tae Gi</au><au>Lee, Soo Hyun</au><au>Kim, Wansun</au><au>Bang, Ayoung</au><au>Moon, Sang Woong</au><au>Song, Jeongyoon</au><au>Shin, Jae-Ho</au><au>Yu, Jae Su</au><au>Choi, Samjin</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Label-Free Surface-Enhanced Raman Spectroscopy Biosensor for On-Site Breast Cancer Detection Using Human Tears</atitle><jtitle>ACS applied materials & interfaces</jtitle><addtitle>ACS Appl. Mater. Interfaces</addtitle><date>2020-02-19</date><risdate>2020</risdate><volume>12</volume><issue>7</issue><spage>7897</spage><epage>7904</epage><pages>7897-7904</pages><issn>1944-8244</issn><eissn>1944-8252</eissn><abstract>Surface-enhanced Raman scattering (SERS) is an ultrasensitive molecular screening technique with greatly enhanced Raman scattering signals from trace amounts of analytes near plasmonic nanostructures. However, research on the development of a sensor that balances signal enhancement, reproducibility, and uniformity has not yet been proposed for practical applications. In this study, we demonstrate the potential of the practical application for detecting or predicting asymptomatic breast cancer from human tears using a portable Raman spectrometer with an identification algorithm based on multivariate statistics. This potentiality was realized through the fabrication of a plasmonic SERS substrate equipped with a well-aligned, gold-decorated, hexagonal-close-packed polystyrene (Au/HCP-PS) nanosphere monolayer that provided femtomole-scale detection, giga-scale enhancement, and <5% relative standard deviation for reliability and reproducibility, regardless of the measuring site. Our results can provide a first step toward developing a noninvasive, real-time screening technology for detecting asymptomatic tumors and preventing tumor recurrence.</abstract><cop>United States</cop><pub>American Chemical Society</pub><pmid>31971765</pmid><doi>10.1021/acsami.9b19421</doi><tpages>8</tpages><orcidid>https://orcid.org/0000-0001-5483-6661</orcidid><orcidid>https://orcid.org/0000-0003-3498-0652</orcidid><orcidid>https://orcid.org/0000-0003-0258-7936</orcidid></addata></record> |
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| subjects | Algorithms Biomarkers, Tumor - chemistry Biosensing Techniques - methods Breast Neoplasms - chemistry Breast Neoplasms - diagnosis Breast Neoplasms - diagnostic imaging Female Gold - chemistry Humans Limit of Detection Metal Nanoparticles - chemistry Microscopy, Atomic Force Microscopy, Electron, Scanning Nanospheres - chemistry Nanospheres - ultrastructure Naphthalenes - chemistry Polystyrenes - chemistry Reproducibility of Results Signal-To-Noise Ratio Spectrum Analysis, Raman - methods Sulfhydryl Compounds - chemistry Tears - diagnostic imaging Unilamellar Liposomes - chemical synthesis Unilamellar Liposomes - chemistry X-Ray Diffraction |
| title | Label-Free Surface-Enhanced Raman Spectroscopy Biosensor for On-Site Breast Cancer Detection Using Human Tears |
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