Rapid determination of sulfamethoxazole and trimethoprim illegally added to health products using excitation–emission matrix fluorescence coupled with the second-order calibration method
Abstract:In this work, a simple and fast analytical method based on self-weighted alternating trilinear decomposition (SWATLD) algorithm coupled with excitation-emission matrix (EEM) fluorescence was developed for the simultaneous determination of...
“…In Dramićanin et al 's research, 9 parallel factor analysis (PARAFAC) was used to decompose the fluorescence data, and a partial least squares discriminant analysis (PLS-DA) model was built for the classification of beer with an accuracy of over 78%. Chen et al 10 proposed a self-weighted alternating trilinear decomposition (SWATLD) algorithm coupled with excitation–emission matrix (EEM) fluorescence for the simultaneous determination of sulfamethoxazole and trimethoprim illegally added to health products, which obtained satisfactory results in the presence of peak overlap and unknown interferents. Thus, how to decompose the whole spectral data and select useful characteristic information becomes a premise of robust fluorescence data analysis.…”
A real-time monitoring model of microbial quantity based on the microbial intrinsic fluorescence information of cucumber storeroom gas was established. Firstly, 3D fluorescence data of the storeroom gas was collected...
“…In Dramićanin et al 's research, 9 parallel factor analysis (PARAFAC) was used to decompose the fluorescence data, and a partial least squares discriminant analysis (PLS-DA) model was built for the classification of beer with an accuracy of over 78%. Chen et al 10 proposed a self-weighted alternating trilinear decomposition (SWATLD) algorithm coupled with excitation–emission matrix (EEM) fluorescence for the simultaneous determination of sulfamethoxazole and trimethoprim illegally added to health products, which obtained satisfactory results in the presence of peak overlap and unknown interferents. Thus, how to decompose the whole spectral data and select useful characteristic information becomes a premise of robust fluorescence data analysis.…”
A real-time monitoring model of microbial quantity based on the microbial intrinsic fluorescence information of cucumber storeroom gas was established. Firstly, 3D fluorescence data of the storeroom gas was collected...
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