Electrochemical profiling using copper nanoparticle-plated electrode for identification of ostrich meat and evaluation of meat grades

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Title: Electrochemical profiling using copper nanoparticle-plated electrode for identification of ostrich meat and evaluation of meat grades
Authors: Hung, Chi-Jen1, Ho, Hsin-Pin2, Chang, Chao-Chin3, Lee, Maw-Rong2, Franje, Catherine A.1, Kuo, Shu-In1, Lee, Ren-Je2, Chou, Chi-Chung1 ccchou@nchu.edu.tw
Source: Food Chemistry. Jun2011, Vol. 126 Issue 3, p1417-1423. 7p.
Subjects: Electrochemistry, Copper, Nanoparticles, Electrodes, Ostriches, Meat, Peptides
Abstract: Abstract: Electrochemical (EC) profiling employing copper nanoparticle-plated screen-printed electrode (Cu n -SPE) exhibited specific selectivity and sensitivity to peptides that could efficiently differentiate ostrich meat from pork, beef and chicken, and to evaluate grades and freshness of ostrich meat. The four meats were differentiated in 5min by characteristic chromatographic profiles consisting only four major peaks. Peak identification by LC/MS/MS suggested that while lysine and glutamine were shown as common components, anserine were the avian-specific and carnosine was the ostrich-missing peptide in the EC profile. Statistical analysis (ROC curve) demonstrated that peak ratios could be used to evaluate ostrich meat grades with high sensitivity (up to 95%) and specificity (up to 100%). The effects of storage temperature and time were studied for potential use of Cu n -SPE to evaluate meat freshness. This HPLC-EC method appeared to be superior to UV detection in terms of profile simplicity and devoid of derivatisation process or complex sample extraction procedures, rendering it a suitable method for routine rapid differentiation of ostrich meat from common meat species with the ability to simultaneously differentiate ostrich meat grades. [ABSTRACT FROM AUTHOR]
Copyright of Food Chemistry is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: <searchLink fieldCode="AR" term="%22Hung%2C+Chi-Jen%22">Hung, Chi-Jen</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Ho%2C+Hsin-Pin%22">Ho, Hsin-Pin</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Chang%2C+Chao-Chin%22">Chang, Chao-Chin</searchLink><relatesTo>3</relatesTo><br /><searchLink fieldCode="AR" term="%22Lee%2C+Maw-Rong%22">Lee, Maw-Rong</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Franje%2C+Catherine+A%2E%22">Franje, Catherine A.</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Kuo%2C+Shu-In%22">Kuo, Shu-In</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Lee%2C+Ren-Je%22">Lee, Ren-Je</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Chou%2C+Chi-Chung%22">Chou, Chi-Chung</searchLink><relatesTo>1</relatesTo><i> ccchou@nchu.edu.tw</i>
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  Data: <searchLink fieldCode="JN" term="%22Food+Chemistry%22">Food Chemistry</searchLink>. Jun2011, Vol. 126 Issue 3, p1417-1423. 7p.
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  Data: <searchLink fieldCode="DE" term="%22Electrochemistry%22">Electrochemistry</searchLink><br /><searchLink fieldCode="DE" term="%22Copper%22">Copper</searchLink><br /><searchLink fieldCode="DE" term="%22Nanoparticles%22">Nanoparticles</searchLink><br /><searchLink fieldCode="DE" term="%22Electrodes%22">Electrodes</searchLink><br /><searchLink fieldCode="DE" term="%22Ostriches%22">Ostriches</searchLink><br /><searchLink fieldCode="DE" term="%22Meat%22">Meat</searchLink><br /><searchLink fieldCode="DE" term="%22Peptides%22">Peptides</searchLink>
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  Data: Abstract: Electrochemical (EC) profiling employing copper nanoparticle-plated screen-printed electrode (Cu n -SPE) exhibited specific selectivity and sensitivity to peptides that could efficiently differentiate ostrich meat from pork, beef and chicken, and to evaluate grades and freshness of ostrich meat. The four meats were differentiated in 5min by characteristic chromatographic profiles consisting only four major peaks. Peak identification by LC/MS/MS suggested that while lysine and glutamine were shown as common components, anserine were the avian-specific and carnosine was the ostrich-missing peptide in the EC profile. Statistical analysis (ROC curve) demonstrated that peak ratios could be used to evaluate ostrich meat grades with high sensitivity (up to 95%) and specificity (up to 100%). The effects of storage temperature and time were studied for potential use of Cu n -SPE to evaluate meat freshness. This HPLC-EC method appeared to be superior to UV detection in terms of profile simplicity and devoid of derivatisation process or complex sample extraction procedures, rendering it a suitable method for routine rapid differentiation of ostrich meat from common meat species with the ability to simultaneously differentiate ostrich meat grades. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Food Chemistry is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1016/j.foodchem.2010.11.123
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              Text: Jun2011
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