Haichao Yuan

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 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 , 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.

Surface-enhanced Raman spectroscopy coupled with gold nanoparticles for rapid detection of amoxicillin residues in duck meat

ABSTRACT Antibiotic residues in meat pose serious threats to human beings and animals, and are one of the main food safety concerns all around the world. A novel method based upon surface-enhanced Raman spectroscopy (SERS) coupled with gold nanoparticles was developed in this study for rapid detection of amoxicillin residues in duck meat, one widely used in duck farming. Three different particle sizes of gold nanoparticles were synthesized using 0.3, 0.7, and 1.1 mL 1% trisodium citrate, while 0.7 mL was found to be the optimal volume as Raman enhancement substrate for the detection of amoxicillin residues in duck meat. The amounts of gold nanoparticles (0.5 mL), duck meat extract containing amoxicillin (50 μL), and sodium chloride solution (100 μL), as well as adsorption time (5 min) were optimized by single factor experiments. A calibration curve with the determination coefficient of 0.9661 was established for quantitative analysis of unknown amoxicillin samples. The average recoveries of amoxicillin residues in duck meat extract were 96–139%. This study provided a rapid and simple approach to analyze amoxicillin residues in duck meat in excess of 0.2 mg L−1 using SERS coupled with gold nanoparticles, which has the potential for wide applications in the detection of the antibiotic residues in meat.

Rapid detection of doxycycline content in duck meat by using silver nanoparticles and alkylphenols polyoxyethylene enhanced fluorescence of europium complex

ABSTRACT Doxycycline can coordinate with europium (III) to form europium (III)-doxycycline complex, which can emit the fluorescence characteristic peak of europium (III) at 617 nm in alkaline solution, and the experiment proved that the fluorescence intensity could be further enhanced in the presence of silver nanoparticles and surfactant alkylphenols polyoxyethylene. So this method was applied to detect doxycycline content in duck meat in this research. First, 390 and 617 nm were selected as the optimum excitation wavelength and optimum emission wavelength by three-dimensional fluorescence spectrometry, respectively. Second, the experimental conditions were optimized through single factor experiment. Lastly, the samples of doxycycline concentration range of 0.05–12 mg/L were analyzed under the optimum experimental conditions. A good linear relationship between the doxycycline concentration and the fluorescence intensity was obtained, and the determination coefficient and the root mean squared error of prediction were 0.9982 and 0.4363 mg/L, respectively. This research showed that it was feasible to achieve the rapid detection of doxycycline content in duck meat by using silver nanoparticles and alkylphenols polyoxyethylene enhanced the fluorescence of europium complex.

Rapid Determination of Neomycin Content in Duck Egg White Using Derivative Synchronous Fluorescence-Wavelet-Subsection Genetic Algorithm-Least Squares Support Vector Regression

Derivate of neomycin and o-phthalaldehyde(OPA) has strong fluorescent characteristic under the condition of mercaptoethanol,and it can realize fluorimetric determination of neomycin content in duck egg white.In the process,synchronous fluorescence spectra from 280 nm to 390 nm were analyzed using three-dimensional synchronous fluorescence spectrometry,and the wavelength difference of 110 nm was selected to detect neomycin content in duck egg white.Then,the db10 wavelet with two levels decomposition was used to reduce the noise of first order derivative synchronous spectrum,and 14 characteristic wavelengths were obtained using subsection genetic algorithm(SGA).Lastly,least squares support vector regression(LSSVR) was applied to build the prediction model of determination of neomycin content in duck egg white,and the determination coefficient(R2) and the root mean squared error of prediction(RMSEP) were 0.9671 and 1.713 respectively.This work proved that SGA could extract effectively characteristic wavelengths of neomycin in duck egg white,and it was helpful to improve the prediction accuracy of LSSVR model.The method could achieve the rapid prediction of neomycin content in duck egg white.

Rapid Detection of Tetracycline Residues in Duck Meat Using Surface Enhanced Raman Spectroscopy

A rapid detection method based on surface enhanced Raman spectroscopy (SERS) was proposed in this paper in order to realize the detection of tetracycline residues in duck meat. Firstly, surface enhanced Raman spectra characteristics of tetracycline aqueous solution, duck meat extract, and duck meat extract containing tetracycline were analyzed. Secondly, the effect of the addition amount of duck meat extract containing tetracycline on SERS intensity and the effect of the adsorption time on SERS intensity were discussed, respectively. Thirdly, SERS intensity ratio at 1272 and 1558 cm−1 () was used to establish the SERS calibration curve. A good linearity relationship between the tetracycline concentration in duck meat extract and was obtained, and the linear regression equation and the correlation coefficient () were and 0.950, respectively. The average recovery of tetracycline in duck meat extract was 101~108% with relative standard deviation (RSD) of 2.4~4.6%. The experimental results showed that the method proposed in this paper was a good detection scheme for the rapid detection of tetracycline residues in duck meat.