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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Format: | Article |
Language: | English |
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Wiley
2016-01-01
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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. |
format | Article |
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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