高效液相色谱法测定对虾中3种磺胺类药物残留量

提出了高效液相色谱法测定对虾中3种磺胺类药物磺胺嘧啶(SD)、磺胺吡啶(SPD)和磺胺噻唑(ST)的残留量。样品经乙腈提取,正己烷脱脂净化,高效液相色谱分离,紫外检测器检测,外标法定量。以Hypersil ODS色谱柱(250 mm×4.0 mm,5μm)为分离柱,以甲醇和水以体积比25比75的混合液为流动相。3种磺胺类药物的质量浓度与其峰面积呈线性关系。磺胺嘧啶、磺胺吡啶和磺胺噻唑的回收率分别为93.2%,89.9%,88.7%;相对标准偏差(n=6)依次为3.1%,0.1%,1.1%。     

HPLC法测定鳗鱼、猪肉和对虾中的痢特灵残留

在传统法的基础上，常量分析与微量分析技术有效地相结合，研究了测定动物性食品中痢特灵残留的快速ＨＰＬＣ法，用二氯甲烷提取样品中的痢特灵，浓缩提取液至干，８０％乙腈水溶液溶解残渣，在５ｍＬ离心管中用正已烷萃取、分离杂质，清液供ＨＰＬＣ分析用，方法回收率大于８０％，相对标准编差（ｎ＝６）小于８％。     

Rapid prediction of moisture content of dehydrated prawns using online hyperspectral imaging system

Because the shape of prawn is not round, spectroscopy instruments cannot measure the spectra of the whole prawn without containing background information. In this study, an online hyperspectral imaging system in the spectral region of 380–1100 nm was developed to determine the moisture content of prawns at different dehydrated levels. Hyperspectral images of prawns were acquired at different dehydration periods. The spectra of prawns then were extracted from hyperspectral images based on ‘Manual Prawn Mask’ and ‘Automatic Prawn Mask’, respectively. Spectral data were analyzed using partial least squares regression (PLSR) and least-squares support vector machines (LS-SVM) to establish the calibration models, respectively. Successive projections algorithm (SPA) was first applied for the optimal wavelength selection in the hyperspectral image analysis. Out of 482 wavelengths, only twelve wavelengths (428, 445, 544, 569, 629, 672, 697, 760, 827, 917, 958, and 999 nm) were selected by SPA as the optimum wavelengths for moisture prediction. Based on these optimum wavelengths, a multiple linear regression (MLR) calibration model was established and used to obtain the moisture distribution of each prawn. The overall results of this study revealed the potentiality of hyperspectral imaging as an objective and non-destructive method to obtain the content and distribution of moisture of prawns whose shapes are not round.