<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE ArticleSet PUBLIC "-//NLM//DTD PubMed 2.7//EN" "https://dtd.nlm.nih.gov/ncbi/pubmed/in/PubMed.dtd">
<ArticleSet>
<Article>
<Journal>
<PublisherName>OICC Press</PublisherName>
<JournalTitle>Journal of Nanostructure in Chemistry</JournalTitle>
<Issn>2193-8865</Issn>
<Volume>5</Volume>
<Issue>3 (September 2015)</Issue>
<PubDate PubStatus="epublish">
<Year>2015</Year>
<Month>04</Month>
<Day>18</Day>
</PubDate>
</Journal>
<ArticleTitle>Evaluation of nicotine sensor based on copper nanoparticles and carbon nanotubes</ArticleTitle>
<VernacularTitle></VernacularTitle>
<FirstPage></FirstPage>
<LastPage></LastPage>
<ELocationID EIdType="doi">10.1007/s40097-015-0154-1</ELocationID>
<Language>EN</Language>
<AuthorList>
<Author>
<FirstName>Zohreh</FirstName>
<LastName>Goodarzi</LastName>
<Affiliation>Department of Chemical Engineering, Faculty of Engineering, Ferdowsi University of Mashhad, Mashhad, IR</Affiliation>
<Identifier Source="ORCID"></Identifier>
</Author>
<Author>
<FirstName>Morteza</FirstName>
<LastName>Maghrebi</LastName>
<Affiliation>Department of Chemical Engineering, Faculty of Engineering, Ferdowsi University of Mashhad, Mashhad, IR</Affiliation>
<Identifier Source="ORCID"></Identifier>
</Author>
<Author>
<FirstName>Alireza Fakhari</FirstName>
<LastName>Zavareh</LastName>
<Affiliation>Department of Chemistry, Faculty of Science, Shahid Beheshti University, Tehran, IR</Affiliation>
<Identifier Source="ORCID"></Identifier>
</Author>
<Author>
<FirstName>Zahra-Beagom</FirstName>
<LastName>Mokhtari-Hosseini</LastName>
<Affiliation>Chemical Engineering Group, Faculty of Petroleum and Petrochemical Engineering, Hakim Sabzevari University, Sabzevar, IR</Affiliation>
<Identifier Source="ORCID"></Identifier>
</Author>
<Author>
<FirstName>Bahman</FirstName>
<LastName>Ebrahimi-hoseinzadeh</LastName>
<Affiliation>Department of Life Sciences Engineering, Faculty of New Sciences and Technologies, University of Tehran, Tehran, IR</Affiliation>
<Identifier Source="ORCID"></Identifier>
</Author>
<Author>
<FirstName>Ashrafasadat Hatamian</FirstName>
<LastName>Zarmi</LastName>
<Affiliation>Department of Life Sciences Engineering, Faculty of New Sciences and Technologies, University of Tehran, Tehran, IR</Affiliation>
<Identifier Source="ORCID"></Identifier>
</Author>
<Author>
<FirstName>Mohammad</FirstName>
<LastName>Barshan-tashnizi</LastName>
<Affiliation>Department of Life Sciences Engineering, Faculty of New Sciences and Technologies, University of Tehran, Tehran, IR</Affiliation>
<Identifier Source="ORCID"></Identifier>
</Author>
</AuthorList>
<PublicationType>Journal Article</PublicationType>
<History>
<PubDate PubStatus="received">
<Year>2015</Year>
<Month>04</Month>
<Day>18</Day>
</PubDate>
</History>
<Abstract>Abstract
An electrochemical sensor was prepared to detect nicotine by depositing copper nanoparticles (Cu NPs) on the surface of a glassy carbon electrode (GCE) modified with multi-walled carbon nanotubes (MWNTs). The modified electrode was characterized by scanning electron microscopy and cyclic voltammetry. The 
novel-modified sensor exhibited effective electrocatalytic activities toward anodic oxidation of nicotine. Calibration plot showed two linear regions with different sensitivity, 1.121 (
r
2
 = 0.982) in the range from 1 × 10
−6
 to 9 × 10
−5
 M and 0.164 (
r
2
 = 0.982) from 1 × 10
−4
 M up to 1 × 10
−3
 M. The detection limit was 1 µM. For six parallel detections of 1 mM nicotine, the relative standard deviation was 5.68 %, suggesting that the film-modified electrode had good reproducibility. Experimental parameters affecting the sensor response such as pH, modifier concentration and electro-deposition scan rate were found to be optimum at 7.0, 2 mg mL
−1
 and 80 mV s
−1
, respectively.</Abstract>
<ObjectList>
<Object Type="keyword">
<Param Name="value">Copper nanoparticles</Param>
</Object>
<Object Type="keyword">
<Param Name="value">Cyclic voltammetry</Param>
</Object>
<Object Type="keyword">
<Param Name="value">Multi-walled carbon nanotube</Param>
</Object>
<Object Type="keyword">
<Param Name="value">Nano-biosensor</Param>
</Object>
<Object Type="keyword">
<Param Name="value">Nicotine</Param>
</Object>
</ObjectList>
</Article>
</ArticleSet>