摘要
通过高效液相色谱—光谱联用采集数据,应用向量—子空间夹角计算判据,建立水产品中孔雀石绿的快速分析方法。先采用全波长紫外—可见光纤光谱仪建立孔雀石绿的标准光谱数据库,以及市售水产品样品的紫外—可见光谱数据,再通过高效液相色谱—光谱联用方法,建立扣除水产品中待测组分孔雀石绿的本底光谱数据库;运用向量—子空间夹角判据计算草鱼、罗非鱼、黄蜂鱼、海蟹、海虾、玉米螺样品中孔雀石绿的含量。结果表明,在0.2-4.0μg/mL的线性范围内,孔雀石绿标准工作曲线的线性相关系数r=0.999 7（λ=618 nm）,加标回收率为99.24%-109.38%,相对标准偏差小于5.0%。此方法可用于水产品中孔雀石绿残留量的快速检测。
Based on the data collected with a high performance liquid chromatograph （HPLC）-spectrometer, vector-subspaceangle criterion was calculated. A new method was developed to rapidly analyze malachite green residues in aquatic products.Multi-wavelength UV-visible optical fiber spectrometer was applied firstly to set up a malachite green standard spectraldatabase and a spectral database for marketed aquatic product samples. Then using HPLC-spectrometer, a backgroundspectral database of malachite green in aquatic products was created. The vector-subspace angle criterion was appliedto calculate the contents of malachite green residues in aquatic products including grass carp, tilapia, yellow catfish, seacrab, shrimp and corn snail. The results showed that within a concentration range of 0.2–4.0 μg/mL, the linear correlationcoefficient for the standard curve was 0.999 7 （at 618 nm）, and the recoveries of malachite green in spiked samples were99.24%–109.38%, with a relative standard deviation of less than 5.0%. Thus, this method can be used to rapidly andaccurately detect malachite green residues in aquatic products.
出处
《食品科学》
EI
CAS
CSCD
北大核心
2016年第12期222-225,共4页
Food Science
基金
广西科技计划项目(桂科攻1355010-15)
柳州市科技计划项目(2015J030201)
关键词
向量-子空间夹角
多波长紫外—可见光谱
高效液相色谱
孔雀石绿
vector-subspace angle criterion
multi-wavelength UV-visible spectroscopy
high performance liquidchromatography （HPLC）
malachite green
