Title of article
Rapid determination of sulfonamides in milk samples using fluorescence spectroscopy and class modeling with n-way partial least squares Original Research Article
Author/Authors
R. Diez، نويسنده , , L. Sarabia، نويسنده , , M.C. Ortiz، نويسنده ,
Issue Information
روزنامه با شماره پیاپی سال 2007
Pages
11
From page
350
To page
360
Abstract
In this paper, a methodology to evaluate the probability of false non-compliance and false compliance for screening methods, which give first or second-order multivariate signals is proposed. For this task 120 samples of 6 different kinds of milk have been measured by excitation–emission fluorescence. The samples have been spiked with different amounts of three sulfonamides (sulfadiazine, sulfamerazine and sulfamethazine). These substances have been classified in group B1 (veterinary medicines and contaminants) of annex I of Directive 96/23/EC. The European Union (Commission Regulation EC no. 281/96) has set the maximum residue level (MRL) of total sulfonamides at 100 μg kg−1 in muscle, liver, kidney and milk.
The work shows that excitation–emission fluorescence together with the partial least squares class modeling (PLS-CM) procedure may be a suitable and cheap screening method for the total amount of sulfonamides in milk. Three models, PLS-CM, have been built, for the emission and excitation spectra (first-order signals) and for the excitation–emission matrices (second-order signals). In all the cases it reaches probabilities of false compliance below 5% as required by Decision 2002/657/EC.
With the same flourescence signals, the total quantity of sulfonamide was calibrated using 2-PLS, 3-PLS and PARAFAC regressions. Using this quantitative approach, the capability of detection, CCβ, around the MRL has been estimated between 114.3 and 115.1 μg kg−1 for a probability of false non-compliance and false compliance equal to 5%.
Keywords
Sulfonamides , Milk , Excitation–emission fluorescence , Partial least squares class modeling , Decision 2002/657/EC , N-way partial least squares , Parallel Factor Analysis , Capability of detection , Screening method
Journal title
Analytica Chimica Acta
Serial Year
2007
Journal title
Analytica Chimica Acta
Record number
1036947
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