Skip to main content
Log in

TIRF-based biosensor for sensitive detection of progesterone in milk based on ultra-sensitive progesterone detection in water

  • Original Paper
  • Published:
Analytical and Bioanalytical Chemistry Aims and scope Submit manuscript

Abstract

We report on recent advances of our immunoassay for the hormone progesterone in cow’s milk. Detection is based on total internal reflectance fluorescence (TIRF), the binding-inhibition assay with an immobilized progesterone derivative, and a commercially available monoclonal antibody to progesterone as biological recognition element. The fully automated River Analyzer (RIANA) biosensor for unattended, cost-effective, and continuous monitoring of environmental pollution therefore was adapted for sensitive determination of progesterone in milk. First, the sensitivity and robustness of the existing progesterone assay for water analysis were improved, resulting in a detection limit (LOD) of only 0.2 pg mL−1 and a quantification limit (LOQ) of only 2.0 pg mL−1. These extraordinary results are the lowest detection and quantification limits for progesterone determination using biosensors yet reported in the literature. Second, the accurate indicator of ovulation was calibrated and detected in three different types of milk (UHT milk, fresh milk, and raw milk). For commercial milk and randomly procured raw milk nominal levels of progesterone are typically in the range 5–15 ng mL−1. Limits of detection (LOD) achieved for added progesterone (i.e. spiked samples) were between 45.5 and 56.1 pg mL−1 depending on milk type. Having in mind the 1:10 dilution factor, these results are still a success. For the first time a commercially available antibody was incorporated into an immunoassay for progesterone detection in bovine milk, giving a detection limit below 1 ng mL−1 for a fully automated biosensor. Thus the outstanding progress made with this biosensor in environmental monitoring and water analysis has now been successfully adapted to milk analysis for use in the field of reproduction management.

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

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5

Similar content being viewed by others

References

  1. Esslemont RJ, Bryant MJ (1976) Vet Rec 99:472–475

    Google Scholar 

  2. Esslemont RJ, Eddy RG, Ellis PR (1977) Vet Rec 100:426–427

    Google Scholar 

  3. Esslemont RJ, Eddy RG (1977) Br Vet J 133:346–355

    Google Scholar 

  4. Mottram T, Velasco-Garcia M, Berry P, Richards P, Ghesquiere J, Masson L (2002) Comp Clin Pathol 11:50–58

    Google Scholar 

  5. Mottram TT, Frost AR (1997) Report on the state of the art of current and emerging methods of oestrus detection on UK dairy farms. Contract Report CR/775/97/1681

  6. Pope GS, Swinburne JK (1980) J Dairy Res 47:427–449

    Google Scholar 

  7. Delwiche MJ, Tang X, Bondurant R (1998) On-line measurement of progesterone during milking for estrus detection. In: AgEng 98, International Conference on Agricultural Engineering, Oslo, 24–27 August Part 1, CIGR, pp 59–60

  8. Claycomb RW, Delwiche MJ (1998) Biosens Bioelectron 13:1173–1180

    Google Scholar 

  9. Pemberton RM, Hart JP, Mottram TT (2001) Biosens Bioelectron 16:715–723

    Google Scholar 

  10. Delwiche M, Tang X, BonDurant R, Munro C (2001) Trans ASAE 44:1997–2002

    Google Scholar 

  11. Gillis EH, Gosling JP, Sreenan JM, Kane M (2002) J Immunol Methods 267:131–138

    Google Scholar 

  12. Kreuzer MP, McCarthy R, Pravda M, Guilbault GG, (2004) Anal Lett 37:943–956

    Google Scholar 

  13. Sananikone K, Delwiche MJ, BonDurant RH, Munro CJ (2004) Trans ASAE 47:1357–1365

    Google Scholar 

  14. Rodriguez-Mozaz S, Reder S, de Alda ML, Gauglitz G, Barcelo D (2004) Biosensors Bioelectron 19:633–640

    Google Scholar 

  15. Tschmelak J, Proll G, Gauglitz G (2004) Biosens Bioelectron 20:743–752

    Google Scholar 

  16. Willard D, Proll G, Reder S, Gauglitz G (2003) Environ Sci Pollut Res Int 10:188–191

    Google Scholar 

  17. Tschmelak J, Proll G, Riedt J, Kaiser J, Kraemmer P, Barzaga L, Wilkinson JS, Hua P, Hole JP, Nudd R, Jackson M, Abuknesha R, Barcelo D, Rodriguez-Mozaz S, de Alda MJL, Sacher F, Stien J, Slobodnik J, Oswald P, Kozmenko H, Korenkova E, Tothova L, Krascsenits Z, Gauglitz G (2005) Biosens Bioelectron 20:1499–1508

    Google Scholar 

  18. Tschmelak J, Proll G, Riedt J, Kaiser J, Kraemmer P, Barzaga L, Wilkinson JS, Hua P, Hole JP, Nudd R, Jackson M, Abuknesha R, Barcelo D, Rodriguez-Mozaz S, de Alda MJL, Sacher F, Stien J, Slobodnik J, Oswald P, Kozmenko H, Korenkova E, Tothova L, Krascsenits Z, Gauglitz G (2005) Biosens Bioelectron 20:1509–1519

    Google Scholar 

  19. Tschmelak J, Proll G, Gauglitz G (2005) Talanta 65:313–323

    Google Scholar 

  20. Tschmelak J, Proll G, Gauglitz G (2004) Anal Bioanal Chem 379:1004–1012

    Google Scholar 

  21. Tschmelak J, Proll G, Gauglitz G (2004) Anal Chim Acta 519:143–146

    Google Scholar 

  22. Barzen C, Brecht A, Gauglitz G (2002) Biosens Bioelectron 17:289–295

    Google Scholar 

  23. Glaser RW (1993) Anal Biochem 213:152–161

    Google Scholar 

  24. Kroger K, Jung A, Reder S, Gauglitz G (2002) Anal Chim Acta 469:37–48

    Google Scholar 

  25. Jung A, Stemmler I, Brecht A, Gauglitz G (2001) Fresenius J Anal Chem 371:128–136

    Google Scholar 

  26. Dudley RA, Edwards P, Ekins RP, Finney DJ, McKenzie IG, Raab GM, Rodbard D, Rodgers RP (1985) Clin Chem 31:1264–1271

    Google Scholar 

  27. Inczedy J, Lengyel T, Ure AM (1998) Compendium of analytical nomenclature—the orange book, 3rd edn. Blackwell Science, Oxford

    Google Scholar 

  28. O’Connell MA, Belanger BA, Haaland PD (1993) Chemometr Intell Lab Sys 20:97–114

    Google Scholar 

  29. Kavlock RJ, Daston GP, DeRosa C, Fenner-Crisp P, Gray LE, Kaattari S, Lucier G, Luster M, Mac MJ, Maczka C, Miller R, Moore J, Rolland R, Scott G, Sheehan DM, Sinks T, Tilson HA (1996) Environ Health Perspect 104:715–740

    Google Scholar 

  30. Shore LS, Gurevitz M, Shemesh M (1993) Bull Environ Contam Toxicol 51:361–366

    Google Scholar 

Download references

Acknowledgements

This work was funded by the “Automated Water Analyzer Computer Supported System” (AWACSS) (EVK1-CT-2000-00045) research project supported by the European Commission under the Fifth Framework Program and contributing to the implementation of the Key Action “Sustainable Management and Quality of Water” within the Energy, Environment and Sustainable Development Program. The development of the biosensor used was funded by the European Commission under the Environment and Climate Program (Fourth Framework Program) River Analyzer (RIANA) (ENV4-CT95-0066) project. The derivative progesterone-11-hemisuccinate for the surface chemistry was kindly supplied by Ram Abuknesha, King’s College London, London, UK. Jens Tschmelak is a scholarship holder of the research training group “Quantitative Analysis and Characterization of Pharmaceutically and Biochemically relevant Substances” funded by the Deutsche Forschungsgemeinschaft (DFG) at the Eberhard-Karls-University of Tuebingen, Germany.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Jens Tschmelak.

Additional information

Dedicated to the memory of Wilhelm Fresenius.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Tschmelak, J., Käppel, N. & Gauglitz, G. TIRF-based biosensor for sensitive detection of progesterone in milk based on ultra-sensitive progesterone detection in water. Anal Bioanal Chem 382, 1895–1903 (2005). https://doi.org/10.1007/s00216-005-3261-x

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00216-005-3261-x

Keywords

Navigation