Spread spectrum SERS allows label-free detection of attomolar neurotransmitters
The quantitative label-free detection of neurotransmitters provides critical clues in understanding neurological functions or disorders. However, the identification of neurotransmitters remains challenging for surface-enhanced Raman spectroscopy (SERS) due to the presence of noise. Here, we report s...
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| Veröffentlicht in: | Nature communications 2021-01, Vol.12 (1), p.159-10, Article 159 |
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| creator | Lee, Wonkyoung Kang, Byoung-Hoon Yang, Hyunwoo Park, Moonseong Kwak, Ji Hyun Chung, Taerin Jeong, Yong Kim, Bong Kyu Jeong, Ki-Hun |
| description | The quantitative label-free detection of neurotransmitters provides critical clues in understanding neurological functions or disorders. However, the identification of neurotransmitters remains challenging for surface-enhanced Raman spectroscopy (SERS) due to the presence of noise. Here, we report spread spectrum SERS (ss-SERS) detection for the rapid quantification of neurotransmitters at the attomolar level by encoding excited light and decoding SERS signals with peak autocorrelation and near-zero cross-correlation. Compared to conventional SERS measurements, the experimental result of ss-SERS shows an exceptional improvement in the signal-to-noise ratio of more than three orders of magnitude, thus achieving a high temporal resolution of over one hundred times. The ss-SERS measurement further allows the attomolar SERS detection of dopamine, serotonin, acetylcholine, γ-aminobutyric acid, and glutamate without Raman reporters. This approach opens up opportunities not only for investigating the early diagnostics of neurological disorders or highly sensitive biomedical SERS applications but also for developing low-cost spectroscopic biosensing applications.
Identification of neurotransmitters remains challenging for surface enhanced Raman spectroscopy (SERS) due to presence of noise. Here, the authors present spread spectrum SERS, which by encoding excited light and decoding SERS signals enables detection of unlabelled neurotransmitters at attomolar concentrations. |
| doi_str_mv | 10.1038/s41467-020-20413-8 |
| format | Article |
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Identification of neurotransmitters remains challenging for surface enhanced Raman spectroscopy (SERS) due to presence of noise. Here, the authors present spread spectrum SERS, which by encoding excited light and decoding SERS signals enables detection of unlabelled neurotransmitters at attomolar concentrations.</description><identifier>ISSN: 2041-1723</identifier><identifier>EISSN: 2041-1723</identifier><identifier>DOI: 10.1038/s41467-020-20413-8</identifier><identifier>PMID: 33420035</identifier><language>eng</language><publisher>London: Nature Publishing Group UK</publisher><subject>140/133 ; 639/624/1107/527/1821 ; 639/624/1111/55 ; Acetylcholine ; Biosensing Techniques - methods ; Biosensors ; Correlation analysis ; Dopamine ; Feasibility Studies ; Gold - chemistry ; Humanities and Social Sciences ; Metal Nanoparticles - chemistry ; multidisciplinary ; Neurological diseases ; Neurotransmitter Agents - analysis ; Neurotransmitters ; Noise ; Raman spectroscopy ; Science ; Science (multidisciplinary) ; Serotonin ; Signal to noise ratio ; Spectroscopy ; Spectrum analysis ; Spectrum Analysis, Raman - methods ; Spread spectrum ; Temporal resolution ; γ-Aminobutyric acid</subject><ispartof>Nature communications, 2021-01, Vol.12 (1), p.159-10, Article 159</ispartof><rights>The Author(s) 2021</rights><rights>The Author(s) 2021. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c540t-b3e31e794ee636ba8f1a762ec6a30b703316ed3cd7fb723359f7d016b0847aa83</citedby><cites>FETCH-LOGICAL-c540t-b3e31e794ee636ba8f1a762ec6a30b703316ed3cd7fb723359f7d016b0847aa83</cites><orcidid>0000-0003-4799-7816 ; 0000-0002-5907-3787</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7794485/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7794485/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,860,881,2096,27901,27902,41096,42165,51551,53766,53768</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/33420035$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Lee, Wonkyoung</creatorcontrib><creatorcontrib>Kang, Byoung-Hoon</creatorcontrib><creatorcontrib>Yang, Hyunwoo</creatorcontrib><creatorcontrib>Park, Moonseong</creatorcontrib><creatorcontrib>Kwak, Ji Hyun</creatorcontrib><creatorcontrib>Chung, Taerin</creatorcontrib><creatorcontrib>Jeong, Yong</creatorcontrib><creatorcontrib>Kim, Bong Kyu</creatorcontrib><creatorcontrib>Jeong, Ki-Hun</creatorcontrib><title>Spread spectrum SERS allows label-free detection of attomolar neurotransmitters</title><title>Nature communications</title><addtitle>Nat Commun</addtitle><addtitle>Nat Commun</addtitle><description>The quantitative label-free detection of neurotransmitters provides critical clues in understanding neurological functions or disorders. However, the identification of neurotransmitters remains challenging for surface-enhanced Raman spectroscopy (SERS) due to the presence of noise. Here, we report spread spectrum SERS (ss-SERS) detection for the rapid quantification of neurotransmitters at the attomolar level by encoding excited light and decoding SERS signals with peak autocorrelation and near-zero cross-correlation. Compared to conventional SERS measurements, the experimental result of ss-SERS shows an exceptional improvement in the signal-to-noise ratio of more than three orders of magnitude, thus achieving a high temporal resolution of over one hundred times. The ss-SERS measurement further allows the attomolar SERS detection of dopamine, serotonin, acetylcholine, γ-aminobutyric acid, and glutamate without Raman reporters. This approach opens up opportunities not only for investigating the early diagnostics of neurological disorders or highly sensitive biomedical SERS applications but also for developing low-cost spectroscopic biosensing applications.
Identification of neurotransmitters remains challenging for surface enhanced Raman spectroscopy (SERS) due to presence of noise. Here, the authors present spread spectrum SERS, which by encoding excited light and decoding SERS signals enables detection of unlabelled neurotransmitters at attomolar concentrations.</description><subject>140/133</subject><subject>639/624/1107/527/1821</subject><subject>639/624/1111/55</subject><subject>Acetylcholine</subject><subject>Biosensing Techniques - methods</subject><subject>Biosensors</subject><subject>Correlation analysis</subject><subject>Dopamine</subject><subject>Feasibility Studies</subject><subject>Gold - chemistry</subject><subject>Humanities and Social Sciences</subject><subject>Metal Nanoparticles - chemistry</subject><subject>multidisciplinary</subject><subject>Neurological diseases</subject><subject>Neurotransmitter Agents - analysis</subject><subject>Neurotransmitters</subject><subject>Noise</subject><subject>Raman spectroscopy</subject><subject>Science</subject><subject>Science (multidisciplinary)</subject><subject>Serotonin</subject><subject>Signal to noise ratio</subject><subject>Spectroscopy</subject><subject>Spectrum analysis</subject><subject>Spectrum Analysis, Raman - 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However, the identification of neurotransmitters remains challenging for surface-enhanced Raman spectroscopy (SERS) due to the presence of noise. Here, we report spread spectrum SERS (ss-SERS) detection for the rapid quantification of neurotransmitters at the attomolar level by encoding excited light and decoding SERS signals with peak autocorrelation and near-zero cross-correlation. Compared to conventional SERS measurements, the experimental result of ss-SERS shows an exceptional improvement in the signal-to-noise ratio of more than three orders of magnitude, thus achieving a high temporal resolution of over one hundred times. The ss-SERS measurement further allows the attomolar SERS detection of dopamine, serotonin, acetylcholine, γ-aminobutyric acid, and glutamate without Raman reporters. This approach opens up opportunities not only for investigating the early diagnostics of neurological disorders or highly sensitive biomedical SERS applications but also for developing low-cost spectroscopic biosensing applications.
Identification of neurotransmitters remains challenging for surface enhanced Raman spectroscopy (SERS) due to presence of noise. Here, the authors present spread spectrum SERS, which by encoding excited light and decoding SERS signals enables detection of unlabelled neurotransmitters at attomolar concentrations.</abstract><cop>London</cop><pub>Nature Publishing Group UK</pub><pmid>33420035</pmid><doi>10.1038/s41467-020-20413-8</doi><tpages>10</tpages><orcidid>https://orcid.org/0000-0003-4799-7816</orcidid><orcidid>https://orcid.org/0000-0002-5907-3787</orcidid><oa>free_for_read</oa></addata></record> |
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| subjects | 140/133 639/624/1107/527/1821 639/624/1111/55 Acetylcholine Biosensing Techniques - methods Biosensors Correlation analysis Dopamine Feasibility Studies Gold - chemistry Humanities and Social Sciences Metal Nanoparticles - chemistry multidisciplinary Neurological diseases Neurotransmitter Agents - analysis Neurotransmitters Noise Raman spectroscopy Science Science (multidisciplinary) Serotonin Signal to noise ratio Spectroscopy Spectrum analysis Spectrum Analysis, Raman - methods Spread spectrum Temporal resolution γ-Aminobutyric acid |
| title | Spread spectrum SERS allows label-free detection of attomolar neurotransmitters |
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