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Surface-enhanced Raman scattering spectroscopy for the detection of microcystin-LR in irrigation water samples
Received:March 26, 2020  
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KeyWord:surface-enhanced Raman scattering;spiny gold nanoparticles;microcystin-LR
Author NameAffiliationE-mail
HUANG Shan School of Environment and Safety Engineering, Jiangsu University, Zhenjiang 212013, China  
MENG Hui School of Environment and Safety Engineering, Jiangsu University, Zhenjiang 212013, China menghui@ujs.edu.cn 
ZENG Kun School of Environment and Safety Engineering, Jiangsu University, Zhenjiang 212013, China
Institute of Environment and Ecology, Jiangsu University, Zhenjiang 212013, Chinas 
 
HUANG Zhe School of Environment and Safety Engineering, Jiangsu University, Zhenjiang 212013, China  
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Abstract:
      In this study, a surface-enhanced Raman scattering(SERS)method based on spiny gold nanoparticles(SGNPs)was developed for detecting microcystin-LR(MC-LR) in irrigation water samples. SGNPs were prepared by the media growth method and then characterized by ultraviolet-visible(UV-vis)absorbance spectra and transmission electron microscopy(TEM). The SERS performances of SGNPs were comparatively evaluated using 4-mercaptobenzoic acid(4-MBA)as a signal reporter. According to the experimental results, the study chose Au TNs as the SERS detection base to establish a SERS method for detecting MC-LR in irrigation water samples. The characteristic peaks of MC-LR at 1 007 cm-1 and 1 309 cm-1 were chosen as the quantitative peaks. This method was performed with an excitation laser wavelength of 785 nm and the integration time for each spectrum was set to 20 s. The calibration curved showed a linear detection range from 1 μg·L-1 to 100 000 μg·L-1. The limit of detection(LOD)and recoveries of this method were 1.0 μg·L-1 and 80%~102%, respectively. The results of this method using naturally irrigation water samples showed that the concentrations of MC-LR were higher than 1 μg·L-1 in 40% of the samples, with the highest level reaching 1.81 μg·L-1. The correlation coefficient was 0.84 when compared to LC-MS/MS. Therefore, the SERS method based on SGNPs could meet the requirements of fast and on-site screening of MC-LR in irrigation water samples.