Optimization of a GC/MS procedure that uses parallel factor analysis for the determination of bisphenols and their diglycidyl ethers after migration from polycarbonate tableware.

Bisphenol A (BPA), bisphenol F (BPF) and their corresponding diglycidyl ethers (BADGE and BFDGE) are simultaneously determined using a programmed-temperature vaporizer-gas chromatography/mass spectrometry (PTV-GC/MS) system. BPA is used in the production of polycarbonate (PC), whereas BADGE and BFDGE are for manufacturing epoxy resins. Several food alerts caused by the migration of this kind of substances from contact food materials have led to the harmonization of the European legislation in Commission Regulation (EU) No. 10/2011, in force from 14 January 2011. In consequence, the use of BPA has been prohibited in the manufacture of plastic infant feeding bottles from 1 May 2011 and from 1 June 2011 regarding the placing on the market and importation into the European Union. Recently, the French Parliament has decreed that the presence of BPA in any food containers will be banned. Similarly, the use and/or presence of BFDGE are not allowed. In this work, a GC/MS method has been developed for the simultaneous determination of BPF, BPA, BFDGE and BADGE. For each one of the I samples that are analyzed, the abundance of J characteristic m/z ratios is recorded at K times around the retention time of each peak, so a data tensor of dimension I×J×K is obtained for every analyte. The decomposition of this tensor by means of parallel factor analysis (PARAFAC) enables to: (a) identify unequivocally each analyte according to the maximum permitted tolerances for relative ion intensities, and (b) quantify each analyte, even in the presence of coeluents. This identification, based on the mass spectrum and the retention time, guarantees the specificity of the analysis. This specificity could fail if the total ion chromatogram (TIC) is considered when there is poor resolution between some peaks or whether interferents coelute. With the aim of studying the effect of shortening the time of the analysis on the quality of the determinations while maintaining the specificity of the identifications, two of the heating ramps in the oven temperature program are changed according to a two-level factorial design. Each analyte is identified by means of a PARAFAC decomposition of a data tensor obtained from several concentration levels, in such a way that five figures of merit are calculated for each experiment of the design. The analysis of these figures of merit for the 16 objects (4 compounds×4 heating ramps) using principal component analysis (PCA) shows that the shortest temperature program should be considered, since this is the one the best figures of merit for BPA and BFDGE (both banned) are achieved with. At these conditions and with probabilities of false positive and false negative fixed at 0.05, values of detection capability (CCβ) between 2.65 and 4.71 μg L(-1) when acetonitrile is the injection solvent, and between 1.97 and 5.53 μg L(-1) when acetone, are obtained. This GC/MS method has been applied to the simultaneous determination of BPF, BPA, BFDGE and BADGE in food simulant D1 (ethanol-H2O, 1:1 v/v), which had been previously in contact with PC tableware for 24h at 70 °C and then pretreated by a solid-phase extraction (SPE) step. The migration of BPA from the new PC containers analyzed is confirmed, and values between 104.67 and 181.46 μg L(-1) (0.73 and 1.27 μg L(-1) after correction) of BPA have been estimated. None of the results obtained exceeds the specific migration limit of 600 μg L(-1) established by law for BPA in plastic food materials different from PC infant feeding bottles. Severe problems of coelution of interferents have been overcome using PARAFAC decompositions in the analysis of these food simulant samples.

[1]  R. Bro,et al.  A new efficient method for determining the number of components in PARAFAC models , 2003 .

[2]  Bing Shao,et al.  Analysis of alkylphenol and bisphenol A in meat by accelerated solvent extraction and liquid chromatography with tandem mass spectrometry , 2007 .

[3]  M. Hernández-Córdoba,et al.  Comparison of two derivatization-based methods for solid-phase microextraction–gas chromatography–mass spectrometric determination of bisphenol A, bisphenol S and biphenol migrated from food cans , 2010, Analytical and bioanalytical chemistry.

[4]  J. Inczedy,et al.  Compendium of Analytical Nomenclature , 1998 .

[5]  R. Bro Exploratory study of sugar production using fluorescence spectroscopy and multi-way analysis , 1999 .

[6]  C. Andrew. Clayton,et al.  Detection limits with specified assurance probabilities , 1987 .

[7]  N. Rastkari,et al.  Sensitive determination of bisphenol A and bisphenol F in canned food using a solid-phase microextraction fibre coated with single-walled carbon nanotubes before GC/MS , 2010, Food additives & contaminants. Part A, Chemistry, analysis, control, exposure & risk assessment.

[8]  Yolanda Picó,et al.  Liquid chromatography-mass spectrometry in food safety. , 2010, Journal of chromatography. A.

[9]  T. Begley,et al.  Determination of Bisphenol-A in Reusable Polycarbonate Food-Contact Plastics and Migration to Food-Simulating Liquids , 1997 .

[10]  Dolores Pérez-Bendito,et al.  Analytical methods for the determination of bisphenol A in food. , 2009, Journal of chromatography. A.

[11]  Simoneau Catherine,et al.  Guidelines for performance criteria and validation procedures of analytical methods used in controls of food contact materials , 2009 .

[12]  A. Ballesteros-Gómez,et al.  Determination of bisphenols A and F and their diglycidyl ethers in wastewater and river water by coacervative extraction and liquid chromatography-fluorimetry. , 2007, Analytica chimica acta.

[13]  J. López‐Cervantes,et al.  Determination of bisphenol A in, and its migration from, PVC stretch film used for food packaging , 2003, Food additives and contaminants.

[14]  H. Mol,et al.  METHOD VALIDATION AND QUALITY CONTROL PROCEDURES FOR PESTICIDE RESIDUES ANALYSIS IN FOOD AND FEED , 2008 .

[15]  Lloyd A. Currie,et al.  Detection and quantification limits: origins and historical overview , 1997 .

[16]  L. Castle,et al.  Investigations into the potential degradation of polycarbonate baby bottles during sterilization with consequent release of bisphenol A. , 1997, Food additives and contaminants.

[17]  J. Vílchez,et al.  Determination of bisphenol A (BPA) in water by gas chromatography-mass spectrometry , 1997 .

[18]  M. P. Callao,et al.  Analytical applications of second-order calibration methods. , 2008, Analytica chimica acta.

[19]  P. P. Losada,et al.  Determination of bisphenol F diglycidyl ether and related compounds by high-performance liquid chromatography/mass spectrometry. , 2005 .

[20]  I Taverniers,et al.  ELISA detection of hazelnut proteins: effect of protein glycation in the presence or absence of wheat proteins , 2011, Food additives & contaminants. Part A, Chemistry, analysis, control, exposure & risk assessment.

[21]  M. C. Ortiz,et al.  Quantitative determination in chromatographic analysis based on n-way calibration strategies. , 2007, Journal of chromatography. A.

[22]  M. Bartels,et al.  Quantitative Determination of Bisphenol-A in River Water by Cool On-Column Injection-Gas Chromatography-Mass Spectrometry , 1998 .

[23]  John B. Shoven,et al.  I , Edinburgh Medical and Surgical Journal.

[24]  P. Sandra,et al.  Study on the migration of bisphenol-A from baby bottles by stir bar sorptive extraction-thermal desorption-capillary GC-MS. , 2009, Journal of separation science.

[25]  Rasmus Bro,et al.  Mathematical chromatography solves the cocktail party effect in mixtures using 2D spectra and PARAFAC , 2010 .

[26]  K. Ehlert,et al.  Migration of bisphenol A into water from polycarbonate baby bottles during microwave heating , 2008, Food additives & contaminants. Part A, Chemistry, analysis, control, exposure & risk assessment.

[27]  M. C. Ortiz,et al.  Tutorial on evaluation of type I and type II errors in chemical analyses: from the analytical detection to authentication of products and process control. , 2010, Analytica chimica acta.

[28]  M. C. Ortiz,et al.  Usefulness of a PARAFAC decomposition in the fiber selection procedure to determine chlorophenols by means SPME-GC-MS , 2012, Analytical and Bioanalytical Chemistry.

[29]  R. Bro Review on Multiway Analysis in Chemistry—2000–2005 , 2006 .

[30]  Edwin D. Mares,et al.  On S , 1994, Stud Logica.

[31]  J. Vieites,et al.  Migration of BADGE (bisphenol A diglycidyl-ether) and BFDGE (bisphenol F diglycidyl-ether) in canned seafood. , 2008, Food and chemical toxicology : an international journal published for the British Industrial Biological Research Association.

[32]  J. Lozano,et al.  Overall migration and specific migration of bisphenol A diglycidyl ether monomer and m-xylylenediamine hardener from an optimized epoxy-amine formulation into water-based food simulants. , 1993 .

[33]  Rasmus Bro,et al.  The N-way Toolbox for MATLAB , 2000 .

[34]  W. Smith Foundations of Materials Science and Engineering , 1993 .

[35]  M. C. Ortiz,et al.  Advantages of a programmed temperature vaporizer inlet and parallel factor analysis in the determination of triazines in the presence of non-intentionally added substances by gas chromatography , 2012, Analytical and Bioanalytical Chemistry.

[36]  M. C. Ortiz,et al.  Optimization of the derivatization reaction and the solid-phase microextraction conditions using a D-optimal design and three-way calibration in the determination of non-steroidal anti-inflammatory drugs in bovine milk by gas chromatography-mass spectrometry. , 2011, Journal of chromatography. A.

[37]  A. Yasuhara,et al.  Quantities of bisphenol a leached from plastic waste samples. , 1999, Chemosphere.

[38]  M. C. Ortiz,et al.  Multiresponse optimization and parallel factor analysis, useful tools in the determination of estrogens by gas chromatography-mass spectrometry. , 2007, Journal of chromatography. A.

[39]  E. Hoh,et al.  Large volume injection techniques in capillary gas chromatography. , 2008, Journal of chromatography. A.

[40]  Gianni Sagratini,et al.  Simultaneous determination of bisphenol A, octylphenol, and nonylphenol by pressurised liquid extraction and liquid chromatography–tandem mass spectrometry in powdered milk and infant formulas , 2011 .

[41]  Peter J. Rousseeuw,et al.  Robust Regression and Outlier Detection , 2005, Wiley Series in Probability and Statistics.

[42]  R. Cattell “Parallel proportional profiles” and other principles for determining the choice of factors by rotation , 1944 .

[43]  M. C. Ortiz,et al.  Capability of detection and three-way data , 2006 .

[44]  J. D. Stuart,et al.  Analyses of phenolic endocrine disrupting chemicals in marine samples by both gas and liquid chromatography-mass spectrometry. , 2005, Journal of chromatography. A.

[45]  S. Lacorte,et al.  Migration of plasticizersphthalates, bisphenol A and alkylphenols from plastic containers and evaluation of risk , 2011, Food additives & contaminants. Part A, Chemistry, analysis, control, exposure & risk assessment.

[46]  M. C. Ortiz,et al.  DETARCHI: A program for detection limits with specified assurance probabilities and characteristic curves of detection , 1994 .

[47]  G. G. Stokes "J." , 1890, The New Yale Book of Quotations.