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Enzyme-Linked Immunosorbent Assay, Elisa

Engvall, Eva, Perlmann, Peter·1972·The Journal of Immunology

Abstract

A sensitive and simple method for the quantitative determination of antibodies is reported. Tubes coated with antigen are incubated with antiserum followed by an enzyme-labeled preparation of anti-immunoglobulin. The enzyme remaining in the tubes after washing provides a measure of the amount of specific antibodies in the serum. Coating of polystyrene tubes with antigen is described, as well as the preparation of specifically purified antibodies against rabbit IgG, and their conjugation to alkaline phosphatase. When rabbit antisera against human serum albumin or against the dinitrophenyl group (DNP) were incubated in tubes coated with antigen, less than 1 ng/ml of specific antibody could be detected in both systems. Antibodies in unknown sera could be quantitated by comparison with a standard antiserum. The results obtained compared well with those obtained with other methods for antibody determination. In the DNP system, the specificity of the reaction was assessed by inhibition with hapten. The reaction of immune serum against DNP with DNP-protein, adsorbed to the tubes, was completely inhibited by hapten in solution.

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Metadata

Authors
Engvall, E., & Perlmann, P.
Venue
The Journal of Immunology
Published
1972-07-01
Volume
109
Issue
1
Pages
129-135
ISSN
  • 0022-1767 (ISSN-L)
  • 1550-6606
OpenAlex
W4313315460
Cited by
1,757
References
0
FWCI
2.73
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Enzyme-Linked Immunosorbent Assay, Elisa. https://app.cochat.ai/papers/10.4049/jimmunol.109.1.129
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Engvall, E., & Perlmann, P. (1972). Enzyme-Linked Immunosorbent Assay, Elisa. The Journal of Immunology. https://doi.org/10.4049/jimmunol.109.1.129

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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.