Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 215

The DOI matches its Crossref record.

Enzymically amplified time-resolved fluorescence immunoassay with terbium chelates

Christopoulos, Theodore K., Diamandis, Eleftherios P.·1992·Analytical Chemistry

Abstract

We report an ultrasensitive, enzymatically amplified, time-resolved fluorescence immunoassay with a terbium chelate as the detectable moiety. In this immunoassay, the primary label is the enzyme alkaline phosphatase (ALP). ALP cleaves phosphate out of a fluorogenic substrate, 5-fluorosalicyl phosphate, to produce 5-fluorosalicylic acid (FSA). 5-Fluorosalicylic acid can then form a highly fluorescent ternary complex of the form FSA-Tb(3+)-EDTA, which can be quantified by measuring the Tb3+ fluorescence in a time-resolved mode. In this assay, exceptional sensitivity is achieved because of the enzymatic amplification introduced by ALP and the quantification by laser-induced microsecond time-resolved fluorometry. Time-resolved fluorometry is applicable because of the long fluorescence lifetime of the Tb3+ complexes. It is shown that in a model AFP assay 10(6) or 1.5 x 10(5) molecules can be detected (final assay volume, 100 microL) by using monoclonal or polyclonal detection antibodies, respectively. The assay demonstrates excellent precision (approximately 4%), and it seems to be highly suited for automated, sensitive, and rapid immunoassays.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1021/ac00028a004

Cites

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cited by

See all 215

Metadata

Authors
Christopoulos, T. K., & Diamandis, E. P.
Venue
Analytical Chemistry
Published
1992-02-15
Volume
64
Issue
4
Pages
342-346
ISSN
  • 0003-2700 (ISSN-L)
  • 1520-6882
OpenAlex
W1979141341
Cited by
215
References
0
FWCI
9.88
Type
journal article
Language
en
Open access
closed

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Enzymically amplified time-resolved fluorescence immunoassay with terbium chelates. https://app.cochat.ai/papers/10.1021/ac00028a004
The paper
Christopoulos, T. K., & Diamandis, E. P. (1992). Enzymically amplified time-resolved fluorescence immunoassay with terbium chelates. Analytical Chemistry. https://doi.org/10.1021/ac00028a004

Data sources

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.