Integrating Carbon Nanomaterials with Metals for Bio-sensing Applications
Age structure in most developed countries is changing fast as the average lifespan is increasing significantly, calling for solutions to provide improved treatments for age-related neurological diseases and disorders. In order to address these problems, a reliable way of recording information about...
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creator | Sainio, Sami Leppänen, Elli Mynttinen, Elsi Palomäki, Tommi Wester, Niklas Etula, Jarkko Isoaho, Noora Peltola, Emilia Koehne, Jessica Meyyappan, M. Koskinen, Jari Laurila, Tomi |
description | Age structure in most developed countries is changing fast as the average lifespan is increasing significantly, calling for solutions to provide improved treatments for age-related neurological diseases and disorders. In order to address these problems, a reliable way of recording information about neurotransmitters from in vitro and in vivo applications is needed to better understand neurological diseases and disorders as well as currently used treatments. Likewise, recent developments in medicine, especially with the opioid crisis, are demanding a swift move to personalized medicine to administer patient needs rather than population-wide averages. In order to enable the so-called personalized medicine, it is necessary to be able to do measurements in vivo and in real time. These actions require sensitive and selective detection of different analytes from very demanding environments. Current state-of-the-art materials are unable to provide sensitive and selective detection of neurotransmitters as well as the required time resolution needed for drug molecules at a reasonable cost. To meet these challenges, we have utilized different metals to grow carbon nanomaterials and applied them for sensing applications showing that there are clear differences in their electrochemical properties based on the selected catalyst metal. Additionally, we have combined atomistic simulations to support optimizing materials for experiments and to gain further understanding of the atomistic level reactions between different analytes and the sensor surface. With carbon nanostructures grown from Ni and Al + Co + Fe hybrid, we can detect dopamine, ascorbic acid, and uric acid simultaneously. On the other hand, nanostructures grown from platinum provide a feasible platform for detection of H
2
O
2
making them suitable candidates for enzymatic biosensors for detection of glutamate, for example. Tetrahedral amorphous carbon electrodes have an ability to detect morphine, paracetamol, tramadol, and
O
-desmethyltramadol. With carbon nanomaterial-based sensors, it is possible to reach metal-like properties in sensing applications using only a fraction of the metal as seed for the material growth. We have also seen that by using nanodiamonds as growth catalyst for carbon nanofibers, it is not possible to detect dopamine and ascorbic acid simultaneously, although the morphology of the resulting nanofibers is similar to the ones grown using Ni. This further indicates the importance of the |
doi_str_mv | 10.1007/s12035-019-01767-7 |
format | Article |
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2
O
2
making them suitable candidates for enzymatic biosensors for detection of glutamate, for example. Tetrahedral amorphous carbon electrodes have an ability to detect morphine, paracetamol, tramadol, and
O
-desmethyltramadol. With carbon nanomaterial-based sensors, it is possible to reach metal-like properties in sensing applications using only a fraction of the metal as seed for the material growth. We have also seen that by using nanodiamonds as growth catalyst for carbon nanofibers, it is not possible to detect dopamine and ascorbic acid simultaneously, although the morphology of the resulting nanofibers is similar to the ones grown using Ni. This further indicates the importance of the metal selection for specific applications. However, Ni as a continuous layer or as separate islands does not provide adequate performance. Thus, it appears that metal nanoparticles combined with fiber-like morphology are needed for optimized sensor performance for neurotransmitter detection. This opens up a new research approach of application-specific nanomaterials, where carefully selected metals are integrated with carbon nanomaterials to match the needs of the sensing application in question.</description><identifier>ISSN: 0893-7648</identifier><identifier>ISSN: 1559-1182</identifier><identifier>EISSN: 1559-1182</identifier><identifier>DOI: 10.1007/s12035-019-01767-7</identifier><identifier>PMID: 31520316</identifier><language>eng</language><publisher>New York: Springer US</publisher><subject>Age composition ; Ascorbic acid ; BASIC BIOLOGICAL SCIENCES ; Bio-sensing ; Biomedical and Life Sciences ; Biomedicine ; Biosensing Techniques - methods ; Biosensors ; Carbon ; Carbon - metabolism ; Carbon nanomaterials ; Catalysts ; Cell Biology ; Developed countries ; Dopamine ; Dopamine - metabolism ; Electrochemical Techniques ; Electrochemistry ; Heavy metals ; Humans ; Hydrogen peroxide ; Hydrogen Peroxide - metabolism ; Life span ; Medical treatment ; Metal Nanoparticles ; Metals ; Metals - metabolism ; Morphine ; Morphology ; Nanomaterials ; Nanoparticles ; Nanostructures - chemistry ; Nanotechnology ; Nanotubes, Carbon - chemistry ; Neurobiology ; Neurological diseases ; Neurology ; Neurosciences ; Neurotransmitter Agents - metabolism ; Neurotransmitters ; Opioids ; Paracetamol ; Platinum ; Precision medicine ; Tramadol ; Uric acid</subject><ispartof>Molecular neurobiology, 2020-01, Vol.57 (1), p.179-190</ispartof><rights>The Author(s) 2019</rights><rights>Molecular Neurobiology is a copyright of Springer, (2019). All Rights Reserved. This work is published under https://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-c501t-ad2c96b790cb76ad76cf2868968f8d09e903b110fcfa589f66ca81c40f0846de3</citedby><cites>FETCH-LOGICAL-c501t-ad2c96b790cb76ad76cf2868968f8d09e903b110fcfa589f66ca81c40f0846de3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s12035-019-01767-7$$EPDF$$P50$$Gspringer$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s12035-019-01767-7$$EHTML$$P50$$Gspringer$$Hfree_for_read</linktohtml><link.rule.ids>230,314,776,780,881,27901,27902,41464,42533,51294</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/31520316$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink><backlink>$$Uhttps://www.osti.gov/servlets/purl/1617157$$D View this record in Osti.gov$$Hfree_for_read</backlink></links><search><creatorcontrib>Sainio, Sami</creatorcontrib><creatorcontrib>Leppänen, Elli</creatorcontrib><creatorcontrib>Mynttinen, Elsi</creatorcontrib><creatorcontrib>Palomäki, Tommi</creatorcontrib><creatorcontrib>Wester, Niklas</creatorcontrib><creatorcontrib>Etula, Jarkko</creatorcontrib><creatorcontrib>Isoaho, Noora</creatorcontrib><creatorcontrib>Peltola, Emilia</creatorcontrib><creatorcontrib>Koehne, Jessica</creatorcontrib><creatorcontrib>Meyyappan, M.</creatorcontrib><creatorcontrib>Koskinen, Jari</creatorcontrib><creatorcontrib>Laurila, Tomi</creatorcontrib><creatorcontrib>SLAC National Accelerator Laboratory (SLAC), Menlo Park, CA (United States)</creatorcontrib><title>Integrating Carbon Nanomaterials with Metals for Bio-sensing Applications</title><title>Molecular neurobiology</title><addtitle>Mol Neurobiol</addtitle><addtitle>Mol Neurobiol</addtitle><description>Age structure in most developed countries is changing fast as the average lifespan is increasing significantly, calling for solutions to provide improved treatments for age-related neurological diseases and disorders. In order to address these problems, a reliable way of recording information about neurotransmitters from in vitro and in vivo applications is needed to better understand neurological diseases and disorders as well as currently used treatments. Likewise, recent developments in medicine, especially with the opioid crisis, are demanding a swift move to personalized medicine to administer patient needs rather than population-wide averages. In order to enable the so-called personalized medicine, it is necessary to be able to do measurements in vivo and in real time. These actions require sensitive and selective detection of different analytes from very demanding environments. Current state-of-the-art materials are unable to provide sensitive and selective detection of neurotransmitters as well as the required time resolution needed for drug molecules at a reasonable cost. To meet these challenges, we have utilized different metals to grow carbon nanomaterials and applied them for sensing applications showing that there are clear differences in their electrochemical properties based on the selected catalyst metal. Additionally, we have combined atomistic simulations to support optimizing materials for experiments and to gain further understanding of the atomistic level reactions between different analytes and the sensor surface. With carbon nanostructures grown from Ni and Al + Co + Fe hybrid, we can detect dopamine, ascorbic acid, and uric acid simultaneously. On the other hand, nanostructures grown from platinum provide a feasible platform for detection of H
2
O
2
making them suitable candidates for enzymatic biosensors for detection of glutamate, for example. Tetrahedral amorphous carbon electrodes have an ability to detect morphine, paracetamol, tramadol, and
O
-desmethyltramadol. With carbon nanomaterial-based sensors, it is possible to reach metal-like properties in sensing applications using only a fraction of the metal as seed for the material growth. We have also seen that by using nanodiamonds as growth catalyst for carbon nanofibers, it is not possible to detect dopamine and ascorbic acid simultaneously, although the morphology of the resulting nanofibers is similar to the ones grown using Ni. This further indicates the importance of the metal selection for specific applications. However, Ni as a continuous layer or as separate islands does not provide adequate performance. Thus, it appears that metal nanoparticles combined with fiber-like morphology are needed for optimized sensor performance for neurotransmitter detection. This opens up a new research approach of application-specific nanomaterials, where carefully selected metals are integrated with carbon nanomaterials to match the needs of the sensing application in question.</description><subject>Age composition</subject><subject>Ascorbic acid</subject><subject>BASIC BIOLOGICAL SCIENCES</subject><subject>Bio-sensing</subject><subject>Biomedical and Life Sciences</subject><subject>Biomedicine</subject><subject>Biosensing Techniques - methods</subject><subject>Biosensors</subject><subject>Carbon</subject><subject>Carbon - metabolism</subject><subject>Carbon nanomaterials</subject><subject>Catalysts</subject><subject>Cell Biology</subject><subject>Developed countries</subject><subject>Dopamine</subject><subject>Dopamine - metabolism</subject><subject>Electrochemical Techniques</subject><subject>Electrochemistry</subject><subject>Heavy metals</subject><subject>Humans</subject><subject>Hydrogen peroxide</subject><subject>Hydrogen Peroxide - metabolism</subject><subject>Life span</subject><subject>Medical treatment</subject><subject>Metal Nanoparticles</subject><subject>Metals</subject><subject>Metals - metabolism</subject><subject>Morphine</subject><subject>Morphology</subject><subject>Nanomaterials</subject><subject>Nanoparticles</subject><subject>Nanostructures - chemistry</subject><subject>Nanotechnology</subject><subject>Nanotubes, Carbon - chemistry</subject><subject>Neurobiology</subject><subject>Neurological diseases</subject><subject>Neurology</subject><subject>Neurosciences</subject><subject>Neurotransmitter Agents - metabolism</subject><subject>Neurotransmitters</subject><subject>Opioids</subject><subject>Paracetamol</subject><subject>Platinum</subject><subject>Precision medicine</subject><subject>Tramadol</subject><subject>Uric acid</subject><issn>0893-7648</issn><issn>1559-1182</issn><issn>1559-1182</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>C6C</sourceid><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><recordid>eNp9kUuPFCEUhYnROO3oH3BhKrpxU3ov1cVjYzLT8dHJqBtdE4qCbibV0AKt8d9LWeP4WLggkNzvnHu5h5DHCC8QgL_MSKHrW0BZD2e85XfICvtetoiC3iUrELJrOVuLM_Ig52sAShH4fXLWYV-lyFZkuw3F7pIuPuyajU5DDM0HHeJBF5u8nnLzzZd9896W-e1iai59bLMNeRZcHI-TN1UcQ35I7rnK2Ec39zn5_Ob1p8279urj2-3m4qo1PWBp9UiNZAOXYAbO9MiZcVQwIZlwYgRpJXQDIjjjdC-kY8xogWYNDsSajbY7J68W3-NpONjR2FCSntQx-YNO31XUXv1dCX6vdvGrYrWF5LIaPF0MYi5eZeOLNXsTQ7CmKGTIsecVen7TJcUvJ5uLOvhs7DTpYOMpK0olyHmftKLP_kGv4ymFuoNKCSmY7GRXKbpQJsWck3W3EyOoOU61xKlqnOpnnGqe4smff72V_MqvAt0C5FoKO5t-9_6P7Q8us6sP</recordid><startdate>20200101</startdate><enddate>20200101</enddate><creator>Sainio, Sami</creator><creator>Leppänen, Elli</creator><creator>Mynttinen, Elsi</creator><creator>Palomäki, Tommi</creator><creator>Wester, Niklas</creator><creator>Etula, Jarkko</creator><creator>Isoaho, Noora</creator><creator>Peltola, Emilia</creator><creator>Koehne, Jessica</creator><creator>Meyyappan, M.</creator><creator>Koskinen, Jari</creator><creator>Laurila, Tomi</creator><general>Springer US</general><general>Springer Nature B.V</general><general>Springer Nature</general><scope>C6C</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7QR</scope><scope>7TK</scope><scope>7X7</scope><scope>7XB</scope><scope>88A</scope><scope>88E</scope><scope>88G</scope><scope>88I</scope><scope>8AO</scope><scope>8FD</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M2M</scope><scope>M2P</scope><scope>M7P</scope><scope>P64</scope><scope>PHGZM</scope><scope>PHGZT</scope><scope>PJZUB</scope><scope>PKEHL</scope><scope>PPXIY</scope><scope>PQEST</scope><scope>PQGLB</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PSYQQ</scope><scope>Q9U</scope><scope>7X8</scope><scope>OIOZB</scope><scope>OTOTI</scope><scope>5PM</scope></search><sort><creationdate>20200101</creationdate><title>Integrating Carbon Nanomaterials with Metals for Bio-sensing Applications</title><author>Sainio, Sami ; Leppänen, Elli ; Mynttinen, Elsi ; Palomäki, Tommi ; Wester, Niklas ; Etula, Jarkko ; Isoaho, Noora ; Peltola, Emilia ; Koehne, Jessica ; Meyyappan, M. ; Koskinen, Jari ; Laurila, Tomi</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c501t-ad2c96b790cb76ad76cf2868968f8d09e903b110fcfa589f66ca81c40f0846de3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Age composition</topic><topic>Ascorbic acid</topic><topic>BASIC BIOLOGICAL SCIENCES</topic><topic>Bio-sensing</topic><topic>Biomedical and Life Sciences</topic><topic>Biomedicine</topic><topic>Biosensing Techniques - methods</topic><topic>Biosensors</topic><topic>Carbon</topic><topic>Carbon - metabolism</topic><topic>Carbon nanomaterials</topic><topic>Catalysts</topic><topic>Cell Biology</topic><topic>Developed countries</topic><topic>Dopamine</topic><topic>Dopamine - metabolism</topic><topic>Electrochemical Techniques</topic><topic>Electrochemistry</topic><topic>Heavy metals</topic><topic>Humans</topic><topic>Hydrogen peroxide</topic><topic>Hydrogen Peroxide - metabolism</topic><topic>Life span</topic><topic>Medical treatment</topic><topic>Metal Nanoparticles</topic><topic>Metals</topic><topic>Metals - metabolism</topic><topic>Morphine</topic><topic>Morphology</topic><topic>Nanomaterials</topic><topic>Nanoparticles</topic><topic>Nanostructures - chemistry</topic><topic>Nanotechnology</topic><topic>Nanotubes, Carbon - chemistry</topic><topic>Neurobiology</topic><topic>Neurological diseases</topic><topic>Neurology</topic><topic>Neurosciences</topic><topic>Neurotransmitter Agents - metabolism</topic><topic>Neurotransmitters</topic><topic>Opioids</topic><topic>Paracetamol</topic><topic>Platinum</topic><topic>Precision medicine</topic><topic>Tramadol</topic><topic>Uric acid</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Sainio, Sami</creatorcontrib><creatorcontrib>Leppänen, Elli</creatorcontrib><creatorcontrib>Mynttinen, Elsi</creatorcontrib><creatorcontrib>Palomäki, Tommi</creatorcontrib><creatorcontrib>Wester, Niklas</creatorcontrib><creatorcontrib>Etula, Jarkko</creatorcontrib><creatorcontrib>Isoaho, Noora</creatorcontrib><creatorcontrib>Peltola, Emilia</creatorcontrib><creatorcontrib>Koehne, Jessica</creatorcontrib><creatorcontrib>Meyyappan, M.</creatorcontrib><creatorcontrib>Koskinen, Jari</creatorcontrib><creatorcontrib>Laurila, Tomi</creatorcontrib><creatorcontrib>SLAC National Accelerator Laboratory (SLAC), Menlo Park, CA (United States)</creatorcontrib><collection>Springer Nature OA Free Journals</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Chemoreception Abstracts</collection><collection>Neurosciences Abstracts</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Biology Database (Alumni Edition)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Psychology Database (Alumni)</collection><collection>Science Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Psychology Database</collection><collection>Science Database</collection><collection>Biological Science Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>ProQuest Central (New)</collection><collection>ProQuest One Academic (New)</collection><collection>ProQuest Health & Medical Research Collection</collection><collection>ProQuest One Academic Middle East (New)</collection><collection>ProQuest One Health & Nursing</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Applied & Life Sciences</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>ProQuest One Psychology</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><collection>OSTI.GOV - Hybrid</collection><collection>OSTI.GOV</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Molecular neurobiology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Sainio, Sami</au><au>Leppänen, Elli</au><au>Mynttinen, Elsi</au><au>Palomäki, Tommi</au><au>Wester, Niklas</au><au>Etula, Jarkko</au><au>Isoaho, Noora</au><au>Peltola, Emilia</au><au>Koehne, Jessica</au><au>Meyyappan, M.</au><au>Koskinen, Jari</au><au>Laurila, Tomi</au><aucorp>SLAC National Accelerator Laboratory (SLAC), Menlo Park, CA (United States)</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Integrating Carbon Nanomaterials with Metals for Bio-sensing Applications</atitle><jtitle>Molecular neurobiology</jtitle><stitle>Mol Neurobiol</stitle><addtitle>Mol Neurobiol</addtitle><date>2020-01-01</date><risdate>2020</risdate><volume>57</volume><issue>1</issue><spage>179</spage><epage>190</epage><pages>179-190</pages><issn>0893-7648</issn><issn>1559-1182</issn><eissn>1559-1182</eissn><abstract>Age structure in most developed countries is changing fast as the average lifespan is increasing significantly, calling for solutions to provide improved treatments for age-related neurological diseases and disorders. In order to address these problems, a reliable way of recording information about neurotransmitters from in vitro and in vivo applications is needed to better understand neurological diseases and disorders as well as currently used treatments. Likewise, recent developments in medicine, especially with the opioid crisis, are demanding a swift move to personalized medicine to administer patient needs rather than population-wide averages. In order to enable the so-called personalized medicine, it is necessary to be able to do measurements in vivo and in real time. These actions require sensitive and selective detection of different analytes from very demanding environments. Current state-of-the-art materials are unable to provide sensitive and selective detection of neurotransmitters as well as the required time resolution needed for drug molecules at a reasonable cost. To meet these challenges, we have utilized different metals to grow carbon nanomaterials and applied them for sensing applications showing that there are clear differences in their electrochemical properties based on the selected catalyst metal. Additionally, we have combined atomistic simulations to support optimizing materials for experiments and to gain further understanding of the atomistic level reactions between different analytes and the sensor surface. With carbon nanostructures grown from Ni and Al + Co + Fe hybrid, we can detect dopamine, ascorbic acid, and uric acid simultaneously. On the other hand, nanostructures grown from platinum provide a feasible platform for detection of H
2
O
2
making them suitable candidates for enzymatic biosensors for detection of glutamate, for example. Tetrahedral amorphous carbon electrodes have an ability to detect morphine, paracetamol, tramadol, and
O
-desmethyltramadol. With carbon nanomaterial-based sensors, it is possible to reach metal-like properties in sensing applications using only a fraction of the metal as seed for the material growth. We have also seen that by using nanodiamonds as growth catalyst for carbon nanofibers, it is not possible to detect dopamine and ascorbic acid simultaneously, although the morphology of the resulting nanofibers is similar to the ones grown using Ni. This further indicates the importance of the metal selection for specific applications. However, Ni as a continuous layer or as separate islands does not provide adequate performance. Thus, it appears that metal nanoparticles combined with fiber-like morphology are needed for optimized sensor performance for neurotransmitter detection. This opens up a new research approach of application-specific nanomaterials, where carefully selected metals are integrated with carbon nanomaterials to match the needs of the sensing application in question.</abstract><cop>New York</cop><pub>Springer US</pub><pmid>31520316</pmid><doi>10.1007/s12035-019-01767-7</doi><tpages>12</tpages><oa>free_for_read</oa></addata></record> |
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recordid | cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_6968979 |
source | MEDLINE; Springer Nature - Complete Springer Journals |
subjects | Age composition Ascorbic acid BASIC BIOLOGICAL SCIENCES Bio-sensing Biomedical and Life Sciences Biomedicine Biosensing Techniques - methods Biosensors Carbon Carbon - metabolism Carbon nanomaterials Catalysts Cell Biology Developed countries Dopamine Dopamine - metabolism Electrochemical Techniques Electrochemistry Heavy metals Humans Hydrogen peroxide Hydrogen Peroxide - metabolism Life span Medical treatment Metal Nanoparticles Metals Metals - metabolism Morphine Morphology Nanomaterials Nanoparticles Nanostructures - chemistry Nanotechnology Nanotubes, Carbon - chemistry Neurobiology Neurological diseases Neurology Neurosciences Neurotransmitter Agents - metabolism Neurotransmitters Opioids Paracetamol Platinum Precision medicine Tramadol Uric acid |
title | Integrating Carbon Nanomaterials with Metals for Bio-sensing Applications |
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