Log in

Validation Parameters for Quantitating Specific Proteins Using ELISA or LC-MS/MS: Survey Results

  • Published:
Food Analytical Methods Aims and scope Submit manuscript

Abstract

Genetically modified organisms (GMOs) express one or more exogenous genes inserted through genetic engineering resulting in the production of novel protein(s). Agencies responsible for deregulating GMOs require that levels of the newly expressed protein(s) be characterized. Ideally, the quantitation methods used will be validated according to Good Laboratory Practices (GLPs) that are accepted by these global regulatory agencies. Targeted protein quantitation may be performed using enzyme-linked immunosorbent assays (ELISAs) with commercial kits or specially produced and validated antibodies. Proteins may also be quantitated by liquid chromatography coupled to tandem mass spectrometry (LC-MS/MS). Although some scientific guidance exists for validation of ELISA, the need remains for a harmonized set of protocols for protein quantitation in testing of GMOs, particularly for LC-MS/MS. We surveyed various industry experts to determine current practices for assay linearity, accuracy, and precision; assay specificity; detection limits; and methods to assess analyte stability for both ELISA and LC-MS/MS. We compared the survey results with assay criteria suggested in the literature and governmental guidance documents.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Subscribe and save

Springer+ Basic
EUR 32.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or Ebook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price includes VAT (Spain)

Instant access to the full article PDF.

Similar content being viewed by others

References

  • AOAC (1998) Peer-verified methods program. Manual on policies and procedures. http://citeseerx.ist.psu.edu/viewdoc/download;jsessionid=C3D82F9AE00CA520AF2E3F46E67E8D6E?doi=10.1.1.196.7223&rep=rep1&type=pdf. Accessed 25 Mar 2015

  • Bantscheff M, Schirle M, Sweetman G, Rick J, Kuster B (2007) Quantitative mass spectrometry in proteomics: a critical review. Anal Bioanal Chem 389(4):1017–1031

    Article  CAS  Google Scholar 

  • Bonfini L, Angers-Loustau A, Petrillo M, Ciabatti I, Gatto F, Rosa S, Lievans A, Kreysa J (2016) The European Union reference methods database and decision supporting tool for the analysis of genetically modified organisms: GMOMETHODS and JRC GMO-matrix. In: Watson RR, Preedy VR (eds) Genetically modified organisms in food. Elsevier, London, pp. 275–288

    Chapter  Google Scholar 

  • CAC/GL 74 (2010) http://www.codexalimentarius.org/standards/list-of-standards. Accessed 25 Mar 2015

  • CropLife International (2011a) http://www.detection-methods.com/. Accessed 15 Dec 2015

  • CropLife International (2011b) Detection methods basics http://www.detection-methods.com/detection-methods-basics. Accessed 22 June 2015

  • Czyz M, Dembczynski R, Marecik R, Wojas-Turek J, Milczarek M, Pajtasz-Piasecka E, Wiertrzyk J, and Pniewski T (2014) Freeze-drying of plant tissue containing HBV surface antigen for the oral vaccine against hepatitis B. Biomed Res Int. doi:10.1155/2014/485689

  • Doran PM (2006) Foreign protein degradation and instability in plants and plant tissue cultures. Trends in Biotechnol 24(9):426–432

    Article  CAS  Google Scholar 

  • ENGL Working Group on “Method Verification” (2011) Verification of analytical methods for GMO testing when implementing interlaboratory validated methods. Publications of the European Union, Luxembourg

    Google Scholar 

  • EPA (1996) Residue chemistry test guidelines. OPPTS 860.1340 residue analytical method

  • European Commission (2010) Guidance document on pesticide residue analytical methods. SANCO/825/00 rev. 8.1 16/11/2010

  • European Medicines Agency (2011) Guideline on bioanalytical method validation. http://www.ema.europa.eu/docs/en_GB/document_library/Scientific_guideline/2011/08/WC500109686.pdf. Accessed 25 Mar 2015

  • FDA (2013) Guidance for industry: bioanalytical method validation. 2013 http://www.fda.gov/downloads/drugs/guidancecomplianceregulatoryinformation/guidances/ucm368107.pdf. Accessed 25 Mar 2015

  • Fernandez A, Mills ENC, Lovik M, Spoek A, Germini A, Mikalsen A, Wal JM (2013) Endogenous allergens and compositional analysis in the allergenicity assessment of genetically modified plants. Food Chem Toxicol 62:1–6

    Article  CAS  Google Scholar 

  • Findlay JWA, Dillard RF (2007) Appropriate calibration curve fitting in ligand binding assays. AAPS J 9(2):E260–E267

    Article  Google Scholar 

  • Gong CY, Wang T (2013) Proteomic evaluation of genetically modified crops: current status and challenges. Front Plant Science 4:1–8

    Article  Google Scholar 

  • Gosling JP (1990) A decade of development in immunoassay methodology. Clin Chem 36(8):1408–1427

  • Grothaus GD, Bandla M, Currier T, Giroux R, Jenkins GR, Lipp M, Shan G, Stave JW, Pantellam V (2006) Immunoassay as an analytical tool in agricultural biotechnology. Journal AOAC International 89(4):913–928

    CAS  Google Scholar 

  • Hale JE (2013) Advantageous Uses of Mass Spectrometry for the Quantification of Proteins. Int J Proteomics 2013:1-6

  • Herman RA, Shan G (2011) Data interpretation and sources of error. In: Shan G (ed) Immunoassays in agricultural biotechnology. Wiley, Hoboken, pp. 189–218

    Google Scholar 

  • Hill RC, Oman TJ, Shan G, Schafer B, Eble J, Chen C (2015) Development and validation of a multiplexed protein quantitation assay for the determination of the three recombinant proteins in soybean tissues by liquid chromatography with tandem mass spectrometry. J Ag Food Chem 63:7450–7461

    Article  CAS  Google Scholar 

  • Hu XT, Owens MA (2011) Multiplexed protein quantification in maize leaves by liquid chromatography coupled to tandem mass spectrometry: an alternative tool to immunoassays for target protein analysis in genetically engineered crops. J Ag Food Chem 59:3551–3558

    Article  CAS  Google Scholar 

  • International Standard ISO 21572 (2013) Food stuffs—molecular biomarker analysis—protein based methods. Second ed

  • Kamle S, Ojha A, Kumar A (2011) Development of an enzyme linked immunosorbant assay for the detection of Cry2Ab protein in transgenic plants. GM Crops 2(2):118–125

    Article  Google Scholar 

  • Lipp M, Anklam E, Stave JW (2000) Validation of an immunoassay for detection and quantitation of a genetically modified soybean in food and food fractions using reference materials: interlaboratory study. Journal AOAC International 83(4):919–927

    CAS  Google Scholar 

  • Lipton CR, Dautlick JX, Grothaus GD, Hunst PL, Magin KM, Mihaliak CA, Rubio FM, Stave JW (2000) Guidelines for the validation and use of immunoassays for determination of introduced proteins in biotechnology enhanced crops and derived food ingredients. Food Agr Immunol 12(2):153–164

    Article  CAS  Google Scholar 

  • Ocaña MF, Fraser PD, Patel RK, Halket JM, Bramley PM (2007) Mass spectrometric detection of CP4 EPSPS in genetically modified soya and maize. Rapid Commun Mass Spectrom 2(3):319–328

    Article  Google Scholar 

  • Peng J, Elias JE, Thoreen CC, Licklider LJ, Gygi SP (2003) Evaluation of multidimensional chromatography coupled with tandem mass spectrometry (LC/LC-MS/MS) for large-scale protein analysis: the yeast proteome. J Proteome Res 2(1):43–50

    Article  CAS  Google Scholar 

  • Privalle LS, Chen J, Clapper G, Hunst P, Spiegelhalter F, Zhong CX (2012) Development of an agricultural biotechnology crop product: testing from discovery to commercialization. J Agr Food Chem 60(41):10179–10187

    Article  CAS  Google Scholar 

  • SANCO Guidelines 2009 Method validation and quality control procedures for pesticide residues analysis in food and feed. Document NO. SANCO/10684/2009

  • Schauzu M (2013) The European Union’s regulatory framework on genetically modified organisms and derived foods and feeds. Adv Gen Eng 2:109. doi:10.4172/2169-0111.1000109

    Google Scholar 

  • Schmidt J, Alarcon C (2011) Immunoassay method development. In: Shan G (ed) Immunoassays in agricultural biotechnology. Wiley, Hoboken, pp. 115–138

    Google Scholar 

  • Shillito R, Currier T (2011) Immunoassays as a GM detection method in international trade. In: Shan G (ed) Immunoassays in agricultural biotechnology. Wiley, Hoboken, pp. 309–324

    Google Scholar 

  • US Department of Health and Human Services, Food and Drug Administration (2013) Guidance for industry bioanalytical method validation revision 1. http://www.fda.gov/downloads/Drugs/GuidanceComplianceRegulatoryInformation/Guidances/UCM368107.pdf. Accessed 25 Mar 2015

Download references

Acknowledgments

The authors thank the Analytical Excellence through Industry Collaboration (AEIC) organization for providing a venue for discussion and a helpful review of the manuscript.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Sharon B. Settlage.

Ethics declarations

Funding

No outside funding was received for this study.

Conflict of Interest

Sharon B. Settlage declares she has no conflicts of interest. Julie E. Eble declares she has no conflicts of interest. Jayant K. Bhanushali declares he has no conflicts of interest. Matthew L. Cheever declares he has no conflicts of interest. Ai-Guo Gao declares he has no conflicts of interest. David A. Goldstrohm declares he has no conflicts of interest. Ryan Hill declares he has no conflicts of interest. Tiger X. Hu declares he has no conflicts of interest. Charles R. Powley declares he has no conflicts of interest. Anita Unger declares she has no conflicts of interest. Guomin Shan declares he has no conflicts of interest.

Ethical Approval

This article does not contain any studies with human participants or animals performed by any of the authors.

Informed Consent

Not applicable.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Settlage, S.B., Eble, J.E., Bhanushali, J.K. et al. Validation Parameters for Quantitating Specific Proteins Using ELISA or LC-MS/MS: Survey Results. Food Anal. Methods 10, 1339–1348 (2017). https://doi.org/10.1007/s12161-016-0689-x

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12161-016-0689-x

Keywords

Navigation