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Cited by 195

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Fluorescence Polarization Immunoassay for the Determination of Therapeutic Drug Levels in Human Plasma

Jolley, M.E.·1981·Journal of Analytical Toxicology

Abstract

Fluorescence polarization immunoassay (FPIA) is a technique which has been known for a number of years, but despite its many advantages, its has not seen clinical utility. The main reason for this is the lack of simple, rapid, high performance instrumentation suitable for use in a clinical laboratory. This problem has been addressed in this laboratory and an instrument has been developed which meets these needs. The solutions of the two other problems associated with the technique (i.e. non-specific binding of tracer to serum proteins and the intrinsic fluorescence of serum) have also been accomplished. Assays for a variety of therapeutic drugs including gentamicin, theophylline, phenytoin, and phenobarbital have been developed and shown to correlate well with a number of reference method. The assays have been totally automated with a concomitant increase in speed and ease of use and a significant improvement in performance over the manual system.

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Metadata

Authors
Jolley, M. E.
Venue
Journal of Analytical Toxicology
Published
1981-09-01
Volume
5
Issue
5
Pages
236-240
ISSN
  • 0146-4760 (ISSN-L)
  • 1945-2403
OpenAlex
W2152821330
Cited by
195
References
0
FWCI
5.77
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Fluorescence Polarization Immunoassay for the Determination of Therapeutic Drug Levels in Human Plasma. https://app.cochat.ai/papers/10.1093/jat/5.5.236
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Jolley, M. E. (1981). Fluorescence Polarization Immunoassay for the Determination of Therapeutic Drug Levels in Human Plasma. Journal of Analytical Toxicology. https://doi.org/10.1093/jat/5.5.236

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.