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Steroid determination in milk by enzyme immunoassay (EIA).
Journal of Steroid Biochemistry
|July 1, 1983
Summary
A new enzyme immunoassay (EIA) accurately measures progesterone in cow milk and human samples. This method simplifies progesterone analysis, even in raw milk, aiding reproductive health monitoring.
Area of Science:
- Biochemistry
- Endocrinology
- Veterinary Medicine
Background:
- Progesterone is a key hormone in reproductive cycles.
- Accurate progesterone measurement is crucial for monitoring reproductive health in livestock and humans.
- Existing assays can be complex and require sample extraction.
Purpose of the Study:
- To develop a simple and sensitive enzyme immunoassay (EIA) for progesterone using a homologous system.
- To adapt the EIA for direct measurement of progesterone in bovine milk, bypassing extraction.
- To validate the EIA's applicability to various biological samples, including human blood and saliva.
Main Methods:
- Development of a homologous enzyme immunoassay for progesterone.
- Optimization of incubation procedures to enhance assay sensitivity.
- Application of the EIA to analyze progesterone in bovine milk fat, bovine serum, human blood, and saliva extracts.
- Direct analysis of progesterone in bovine milk and human serum.
Main Results:
- The developed EIA accurately quantifies progesterone within the range of 30-3000 fmol/test tube (9.4-944 pg).
- Modified incubation procedures enabled direct progesterone measurement in cow milk without prior extraction.
- Milk fat did not interfere with the accuracy of progesterone measurements, preserving physiological relevance.
- The EIA demonstrated effectiveness in analyzing progesterone changes under various physiological, pathological, and therapeutic conditions.
Conclusions:
- A sensitive and straightforward homologous enzyme immunoassay for progesterone has been successfully developed.
- The EIA is suitable for direct progesterone analysis in bovine milk, simplifying sample processing.
- The assay provides reliable progesterone measurements in diverse biological matrices, supporting reproductive health assessments.