Determination of Benzylpenicillin Potassium Residues in Duck Meat Using Surface Enhanced Raman Spectroscopy with Au Nanoparticles

A new method using surface enhanced Raman spectroscopy (SERS) with Au nanoparticles was established for the rapid detection of benzylpenicillin potassium (PG) residues in duck meat. Au nanoparticles were used as SERS enhancement substrate, and the maximum absorption peak of Au nanoparticles using th...

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Main Authors: Yijie Peng, Muhua Liu, Jinhui Zhao, Haichao Yuan, Yao Li, Jinjiang Tao, Hongqing Guo
Format: Article
Language:English
Published: Wiley 2016-01-01
Series:Journal of Spectroscopy
Online Access:http://dx.doi.org/10.1155/2016/7086723
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author Yijie Peng
Muhua Liu
Jinhui Zhao
Haichao Yuan
Yao Li
Jinjiang Tao
Hongqing Guo
author_facet Yijie Peng
Muhua Liu
Jinhui Zhao
Haichao Yuan
Yao Li
Jinjiang Tao
Hongqing Guo
author_sort Yijie Peng
collection DOAJ
description A new method using surface enhanced Raman spectroscopy (SERS) with Au nanoparticles was established for the rapid detection of benzylpenicillin potassium (PG) residues in duck meat. Au nanoparticles were used as SERS enhancement substrate, and the maximum absorption peak of Au nanoparticles using the UV-Vis spectrophotometer was 548 nm. In the research, the SERS spectra of PG solutions and PG duck meat extract as well as their vibrational assignment were analyzed. The effects of Au nanoparticles addition, sample addition, NaCl solution addition, and adsorption time on the SERS intensities of PG duck meat extract were discussed. It is revealed that a good linearity can be obtained between the SERS intensities at 993 cm−1 and the PG residues concentrations (0.5~15.0 mg·L−1) detected in duck meat extract. The linear equation was Y=831.68X+1997.1, and the determination coefficient was 0.9553. The determination coefficient of PG in duck meat extract between the actual values and the predictive values was 0.9757, and the root mean square error (RMSEP) was 0.6496 mg/L. The recovery rate of PG in duck meat extract was 90~121%. The results showed that the method using SERS with Au nanoparticles could pave a new way for the rapid detection of PG residues in duck meat.
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id doaj-art-ea389de0b10e44f5a27d771842dd15ff
institution Kabale University
issn 2314-4920
2314-4939
language English
publishDate 2016-01-01
publisher Wiley
record_format Article
series Journal of Spectroscopy
spelling doaj-art-ea389de0b10e44f5a27d771842dd15ff2025-02-03T05:43:43ZengWileyJournal of Spectroscopy2314-49202314-49392016-01-01201610.1155/2016/70867237086723Determination of Benzylpenicillin Potassium Residues in Duck Meat Using Surface Enhanced Raman Spectroscopy with Au NanoparticlesYijie Peng0Muhua Liu1Jinhui Zhao2Haichao Yuan3Yao Li4Jinjiang Tao5Hongqing Guo6Optics-Electrics Application of Biomaterials Lab, College of Engineering, Jiangxi Agricultural University, Nanchang, Jiangxi 330045, ChinaOptics-Electrics Application of Biomaterials Lab, College of Engineering, Jiangxi Agricultural University, Nanchang, Jiangxi 330045, ChinaOptics-Electrics Application of Biomaterials Lab, College of Engineering, Jiangxi Agricultural University, Nanchang, Jiangxi 330045, ChinaOptics-Electrics Application of Biomaterials Lab, College of Engineering, Jiangxi Agricultural University, Nanchang, Jiangxi 330045, ChinaOptics-Electrics Application of Biomaterials Lab, College of Engineering, Jiangxi Agricultural University, Nanchang, Jiangxi 330045, ChinaOptics-Electrics Application of Biomaterials Lab, College of Engineering, Jiangxi Agricultural University, Nanchang, Jiangxi 330045, ChinaOptics-Electrics Application of Biomaterials Lab, College of Engineering, Jiangxi Agricultural University, Nanchang, Jiangxi 330045, ChinaA new method using surface enhanced Raman spectroscopy (SERS) with Au nanoparticles was established for the rapid detection of benzylpenicillin potassium (PG) residues in duck meat. Au nanoparticles were used as SERS enhancement substrate, and the maximum absorption peak of Au nanoparticles using the UV-Vis spectrophotometer was 548 nm. In the research, the SERS spectra of PG solutions and PG duck meat extract as well as their vibrational assignment were analyzed. The effects of Au nanoparticles addition, sample addition, NaCl solution addition, and adsorption time on the SERS intensities of PG duck meat extract were discussed. It is revealed that a good linearity can be obtained between the SERS intensities at 993 cm−1 and the PG residues concentrations (0.5~15.0 mg·L−1) detected in duck meat extract. The linear equation was Y=831.68X+1997.1, and the determination coefficient was 0.9553. The determination coefficient of PG in duck meat extract between the actual values and the predictive values was 0.9757, and the root mean square error (RMSEP) was 0.6496 mg/L. The recovery rate of PG in duck meat extract was 90~121%. The results showed that the method using SERS with Au nanoparticles could pave a new way for the rapid detection of PG residues in duck meat.http://dx.doi.org/10.1155/2016/7086723
spellingShingle Yijie Peng
Muhua Liu
Jinhui Zhao
Haichao Yuan
Yao Li
Jinjiang Tao
Hongqing Guo
Determination of Benzylpenicillin Potassium Residues in Duck Meat Using Surface Enhanced Raman Spectroscopy with Au Nanoparticles
Journal of Spectroscopy
title Determination of Benzylpenicillin Potassium Residues in Duck Meat Using Surface Enhanced Raman Spectroscopy with Au Nanoparticles
title_full Determination of Benzylpenicillin Potassium Residues in Duck Meat Using Surface Enhanced Raman Spectroscopy with Au Nanoparticles
title_fullStr Determination of Benzylpenicillin Potassium Residues in Duck Meat Using Surface Enhanced Raman Spectroscopy with Au Nanoparticles
title_full_unstemmed Determination of Benzylpenicillin Potassium Residues in Duck Meat Using Surface Enhanced Raman Spectroscopy with Au Nanoparticles
title_short Determination of Benzylpenicillin Potassium Residues in Duck Meat Using Surface Enhanced Raman Spectroscopy with Au Nanoparticles
title_sort determination of benzylpenicillin potassium residues in duck meat using surface enhanced raman spectroscopy with au nanoparticles
url http://dx.doi.org/10.1155/2016/7086723
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