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Evaluation of Matrix Effects in Quantifying Microbial Secondary Metabolites in Indoor Dust Using Ultraperformance Liquid Chromatographe-Tandem Mass Spectrometer

  • Jaderson, Mukhtar (Health Effects Laboratory Division, National Institute for Occupational Safety and Health) ;
  • Park, Ju-Hyeong (Respiratory Health Division, National Institute for Occupational Safety and Health)
  • Received : 2018.09.07
  • Accepted : 2018.12.14
  • Published : 2019.06.30

Abstract

Background: Liquid chromatography-tandem mass spectrometry (LC-MSMS) for simultaneous analysis of multiple microbial secondary metabolites (MSMs) is potentially subject to interference by matrix components. Methods: We examined potential matrix effects (MEs) in analyses of 31 MSMs using ultraperformance LC-MSMS. Twenty-one dust aliquots from three buildings (seven aliquots/building) were spiked with seven concentrations of each of the MSMs ($6.2pg/{\mu}l-900pg/{\mu}l$) and then extracted. Another set of 21 aliquots were first extracted and then, the extract was spiked with the same concentrations. We added deepoxy-deoxynivalenol (DOM) to all aliquots as a universal internal standard. Ten microliters of the extract was injected into the ultraperformance LC-MSMS. ME was calculated by subtracting the percentage of the response of analyte in spiked extract to that in neat standard from 100. Spiked extract results were used to create a matrix-matched calibration (MMC) curve for estimating MSM concentration in dust spiked before extraction. Results: Analysis of variance was used to examine effects of compound (MSM), building and concentration on response. MEs (range: 63.4%-99.97%) significantly differed by MSM (p < 0.01) and building (p < 0.05). Mean percent recoveries adjusted with DOM and the MMC method were 246.3% (SD = 226.0) and 86.3% (SD = 70.7), respectively. Conclusion: We found that dust MEs resulted in substantial underestimation in quantifying MSMs and that DOM was not an optimal universal internal standard for the adjustment but that the MMC method resulted in more accurate and precise recovery compared with DOM. More research on adjustment methods for dust MEs in the simultaneous analyses of multiple MSMs using LC-MSMS is warranted.

Keywords

References

  1. Andersen B, Frisvad JC, Sondergaard I, Rasmussen IS, Larsen LS. Associations between fungal species and water-damaged building materials. Appl Environ Microbiol 2011;77:4180-8. https://doi.org/10.1128/AEM.02513-10
  2. Dillon HK, Miller JD, Sorenson WG, Douwes J, Jacobs RR. Review of methods applicable to the assessment of mold exposure to children. Environ Health Perspect 1999;107:473-80. https://doi.org/10.1289/ehp.99107s3473
  3. Park JH, Cox-Ganser JM. Mold exposure and respiratory health in damp indoor environments. Front Biosci (Elite Ed) 2011;3:757-71. https://doi.org/10.2741/e284
  4. Mendell MJ, Mirer AG, Cheung K, Tong M, Douwes J. Respiratory and allergic health effects of dampness, mold, and dampness-related agents: a review of the epidemiologic evidence. Environ Health Perspect 2011;119:748-56. https://doi.org/10.1289/ehp.1002410
  5. WHO. Guidelines for indoor air quality: dampness and mould. Geneva; 2009.
  6. Kirjavainen PV, Taubel M, Karvonen AM, Sulyok M, Tiittanen P, Krska R, Hyvarinen A, Pekkanen J. Microbial secondary metabolites in homes in association with moisture damage and asthma. Indoor Air 2016;26:448-56. https://doi.org/10.1111/ina.12213
  7. Cai GH, Hashim JH, Hashim Z, Ali F, Bloom E, Larsson L, Lampa E, Norback D. Fungal DNA, allergens, mycotoxins and associations with asthmatic symptoms among pupils in schools from Johor Bahru, Malaysia. Pediatr Allergy Immunol 2011;22:290-7. https://doi.org/10.1111/j.1399-3038.2010.01127.x
  8. Auger PL, Gourdeau P, Miller JD. Clinical experience with patients suffering from a chronic fatigue-like syndrome and repeated upper respiratory infections in relation to airborne molds. Am J Ind Med 1994;25:41-2. https://doi.org/10.1002/ajim.4700250110
  9. Lin L, Zhang J, Wang P, Wang Y, Chen J. Thin-layer chromatography of mycotoxins and comparison with other chromatographic methods. J Chromatogr A 1998;815:3-20. https://doi.org/10.1016/S0021-9673(98)00204-0
  10. Chu FS, Lee RC, Trucksess MW, Park DL. Evaluation of enzyme-linked immunosorbent assay of cleanup for thin-layer chromatography of aflatoxin B1 in corn, peanuts, and peanut butter. J Assoc Off Anal Chem 1988;71:953-6.
  11. Goncalez E, Nogueira JH, Fonseca H, Felicio JD, Pino FA, Correa B. Mycobiota and mycotoxins in Brazilian peanut kernels from sowing to harvest. Int J Food Microbiol 2008;123:184-90. https://doi.org/10.1016/j.ijfoodmicro.2008.01.012
  12. Hernandez MJ, Garcia-Moreno MV, Duran E, Guillen D, Barroso CG. Validation of two analytical methods for the determination of ochratoxin A by reversed-phased high-performance liquid chromatography coupled to fluorescence detection in musts and sweet wines from Andalusia. Anal Chim Acta 2006;566:117-21. https://doi.org/10.1016/j.aca.2006.02.002
  13. Leitner A, Zollner P, Paolillo A, Stroka J, Papadopoulou-Bouraoui A, Jaborek S, Anklam E, Lindner W. Comparison of methods for the determination of ochratoxin A in wine. Anal Chim Acta 2002;453:33-41. https://doi.org/10.1016/S0003-2670(01)01483-0
  14. Huang LC, Zheng N, Zheng BQ, Wen F, Cheng JB, Han RW, Xu XM, Li SL, Wang JQ. Simultaneous determination of aflatoxin M1, ochratoxin A, zearalenone and alpha-zearalenol in milk by UHPLC-MS/MS. Food Chem 2014;146:242-9. https://doi.org/10.1016/j.foodchem.2013.09.047
  15. Churchwell MI, Twaddle NC, Meeker LR, Doerge DR. Improving LC-MS sensitivity through increases in chromatographic performance: comparisons of UPLC-ES/MS/MS to HPLC-ES/MS/MS. J Chromatogr B Analyt Technol Biomed Life Sci 2005;825:134-43. https://doi.org/10.1016/j.jchromb.2005.05.037
  16. Fu J, Chu J, Sun X, Wang J, Yan C. Simple, rapid, and simultaneous assay of multiple carboxyl containing phytohormones in wounded tomatoes by UPLC-MS/MS using single SPE purification and isotope dilution. Anal Sci 2012;28:1081-7. https://doi.org/10.2116/analsci.28.1081
  17. Berg T, Lundanes E, Christophersen AS, Strand DH. Determination of opiates and cocaine in urine by high pH mobile phase reversed phase UPLC-MS/MS. J Chromatogr B Analyt Technol Biomed Life Sci 2009;877:421-32. https://doi.org/10.1016/j.jchromb.2008.12.052
  18. Gangi IMD, Chiandetti L, Gucciardi A, Moret V, Naturale M, Giordano G. Simultaneous quantitative determination of NG,NG-dimethyl-l-arginine or asymmetric dimethylarginine and related pathway's metabolites in biological fluids by ultrahigh-performance liquid chromatography/electrospray ionization-tandem mass spectrometry. Anal Chim Acta 2010;677:140-8. https://doi.org/10.1016/j.aca.2010.08.011
  19. Steene JCVD, Lambert WE. Comparison of matrix effects in HPLC-MS/MS and UPLC-MS/MS analysis of nine basic pharmaceuticals in surface waters. J Am Soc Mass Spectrom 2008;19:713-8. https://doi.org/10.1016/j.jasms.2008.01.013
  20. Taylor PJ. Matrix effects: the Achilles heel of quantitative high-performance liquid chromatography-electrospray-tandem mass spectrometry. Clin Biochem 2005;38:328-34. https://doi.org/10.1016/j.clinbiochem.2004.11.007
  21. Park JH, Cox-Ganser J, Rao C, Kreiss K. Fungal and endotoxin measurements in dust associated with respiratory symptoms in a water-damaged office building. Indoor Air 2006;16:192-203. https://doi.org/10.1111/j.1600-0668.2005.00415.x
  22. Cho SJ, Cox-Ganser JM, Kreiss K, Park JH. Evaluation of individual-based and group-based exposure estimation of microbial agents in health effects associated with a damp building. J Expo Sci Environ Epidemiol 2013;23:409-15. https://doi.org/10.1038/jes.2012.89
  23. Park JH, Cox-Ganser JM, White SK, Laney AS, Caulfield SM, Turner WA, Sumner AD, Kreiss K. Bacteria in a water-damaged building: associations of actinomycetes and non-tuberculous mycobacteria with respiratory health in occupants. Indoor Air 2017;27:24-33. https://doi.org/10.1111/ina.12278
  24. Matuszewski BK, Constanzer ML, Chavez-Eng CM. Strategies for the assessment of matrix effect in quantitative bioanalytical methods based on HPLC-MS/MS. Anal Chem 2003;75:3019-30. https://doi.org/10.1021/ac020361s
  25. Gu H, Liu G, Wang J, Aubry AF, Arnold ME. Selecting the correct weighting factors for linear and quadratic calibration curves with least-squares regression algorithm in bioanalytical LC-MS/MS assays and impacts of using incorrect weighting factors on curve stability, data quality, and assay performance. Anal Chem 2014;86:8959-66. https://doi.org/10.1021/ac5018265
  26. Rosner B. Fundamentals of biostatistics. 6th ed. Belmont, CA: Thomson-Brooks/Cole; 2006.
  27. Neter J, Kutner M, Nachtsheim C, Wasserman W. Applied linear statistical models. 4th ed. McGraw Hill; 1996.
  28. Herebian D, Zuhlke S, Lamshoft M, Spiteller M. Multi-mycotoxin analysis in complex biological matrices using LC-ESI/MS: experimental study using triple stage quadrupole and LTQ-Orbitrap. J Sep Sci 2009;32:939-48. https://doi.org/10.1002/jssc.200800589
  29. Norback D, Hashim JH, Cai G-H, Hashim Z, Ali F, Bloom E, Larsson L. Rhinitis, ocular, throat and dermal symptoms, headache and tiredness among students in schools from Johor Bahru, Malaysia: associations with fungal DNA and mycotoxins in classroom dust. PLoS One 2016;11:e0147996. https://doi.org/10.1371/journal.pone.0147996
  30. Vishwanath V, Sulyok M, Labuda R, Bicker W, Krska R. Simultaneous determination of 186 fungal and bacterial metabolites in indoor matrices by liquid chromatography/tandem mass spectrometry. Anal Bioanal Chem 2009;395:1355-72. https://doi.org/10.1007/s00216-009-2995-2
  31. Saito R, Park JH, LeBouf R, Green BJ, Park Y. Measurement of macrocyclic trichothecene in floor dust of water-damaged buildings using gas chromatography/tandem mass spectrometry-dust matrix effects. J Occup Environ Hyg 2016;13:442-50. https://doi.org/10.1080/15459624.2016.1143951
  32. Chambers E, Wagrowski-Diehl DM, Lu Z, Mazzeo JR. Systematic and comprehensive strategy for reducing matrix effects in LC/MS/MS analyses. J Chromatogr B Analyt Technol Biomed Life Sci 2007;852:22-34. https://doi.org/10.1016/j.jchromb.2006.12.030
  33. Shou WZ, Naidong W. Post-column infusion study of the 'dosing vehicle effect' in the liquid chromatography/tandem mass spectrometric analysis of discovery pharmacokinetic samples. Rapid Commun Mass Spectrom 2003;17:589-97. https://doi.org/10.1002/rcm.951
  34. Bader M. A systematic approach to standard addition methods in instrumental analysis. J Chem Educ 1980;57:703. https://doi.org/10.1021/ed057p703
  35. Frenich AG, Vidal JLM, Moreno JLF, Romero-Gonzalez R. Compensation for matrix effects in gas chromatography-tandem mass spectrometry using a single point standard addition. J Chromatogr A 2009;1216:4798-808. https://doi.org/10.1016/j.chroma.2009.04.018
  36. Kang J, Hick LA, Price WE. Using calibration approaches to compensate for remaining matrix effects in quantitative liquid chromatography/electrospray ionization multistage mass spectrometric analysis of phytoestrogens in aqueous environmental samples. Rapid Commun Mass Spectrom 2007;21:4065-72. https://doi.org/10.1002/rcm.3311
  37. Zrostlikova J, Hajslova J, Poustka J, Begany P. Alternative calibration approaches to compensate the effect of co-extracted matrix components in liquid chromatography-electrospray ionisation tandem mass spectrometry analysis of pesticide residues in plant materials. J Chromatogr A 2002;973:13-26. https://doi.org/10.1016/S0021-9673(02)01196-2
  38. Sordillo J, Vespa D, Haggerty L, Youngs F, Gold D, Milton D. Development of a new isotopically labeled internal standard for ergosterol measurement by GC/MS. J Environ Monit 2009;11:1513-7. https://doi.org/10.1039/b901824g
  39. Stokvis E, Rosing H, Beijnen JH. Stable isotopically labeled internal standards in quantitative bioanalysis using liquid chromatography/mass spectrometry: necessity or not? Rapid Commun Mass Spectrom 2005;19:401-7. https://doi.org/10.1002/rcm.1790
  40. Springler A, Hessenberger S, Reisinger N, Kern C, Nagl V, Schatzmayr G, Mayer E. Deoxynivalenol and its metabolite deepoxy-deoxynivalenol: multiparameter analysis for the evaluation of cytotoxicity and cellular effects. Mycotoxin Res 2017;33:25-37. https://doi.org/10.1007/s12550-016-0260-z
  41. Polizzi V, Delmulle B, Adams A, Moretti A, Susca A, Picco AM, et al. Fungi, mycotoxins and microbial volatile organic compounds in mouldy interiors from water-damaged buildings. J Environ Monit 2009;11:1849-58. https://doi.org/10.1039/b906856b
  42. Sanders M, De Boevre M, Dumoulin F, Detavernier C, Martens F, Van Poucke C, et al. Sampling of wheat dust and subsequent analysis of deoxynivalenol by LC-MS/MS. J Agric Food Chem 2013;61:6259-64. https://doi.org/10.1021/jf401323s
  43. Delmulle B, De Saeger S, Adams A, De Kimpe N, Van Peteghem C. Development of a liquid chromatography/tandem mass spectrometry method for the simultaneous determination of 16 mycotoxins on cellulose filters and in fungal cultures. Rapid Commun Mass Spectrom 2006;20:771-6. https://doi.org/10.1002/rcm.2373
  44. Sulyok M, Berthiller F, Krska R, Schuhmacher R. Development and validation of a liquid chromatography/tandem mass spectrometric method for the determination of 39 mycotoxins in wheat and maize. Rapid Commun Mass Spectrom 2006;20:2649-59. https://doi.org/10.1002/rcm.2640
  45. Lagerwerf FM, Dongen WDV, Steenvoorden RJJM, Honing M, Jonkman JHG. Exploring the boundaries of bioanalytical quantitative LC-MS-MS. Trends Anal Chem 2000;19:418-27. https://doi.org/10.1016/S0165-9936(00)00009-1

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