Evidence map›Paper›PMID 18786501›Full record

ArticleAnalytical biochemistry2008

Low-cost optical lifetime assisted ratiometric glutamine sensor based on glutamine binding protein.

Hung Lam, Yordan Kostov, Govind Rao, Leah Tolosa

Abstract read
In one paragraph

Article in Analytical biochemistry, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Hung LamCenter for Advanced Sensor Technology, University of Maryland Baltimore County, 1000 Hilltop Circle, Baltimore, MD 21250, USA.
Yordan Kostov
Govind Rao
Leah Tolosa

Funding

Engineered Proteins for Continuous Metabolic MonitoringR01DK072465 · NIDDK · UNIVERSITY OF MARYLAND BALTIMORE COUNTY · PI TOLOSA, LEAH · 2005 to 2009
$1.3M
Glucose Sensing Based on an ABC Transporter SystemK25DK062990 · NIDDK · UNIVERSITY OF MARYLAND BALT CO CAMPUS · PI TOLOSA, LEAH · 2003 to 2005
$389k
NIDDK NIH HHS DK062990NIDDK NIH HHS DK072465NIDDK NIH HHS K25 DK062990NIDDK NIH HHS R01 DK072465
6 · The paper itself

Abstract

Here we report a reagentless fluorescence sensing technique for glutamine in the submicromolar range based on the glutamine binding protein (QBP). The S179C mutant is labeled with the short-lived acrylodan (lifetime<5ns) and the long-lived tris(dibenzoylmethane) mono(5-amino-1,10-phenanthroline)europium(III) (lifetime > 300 micros) at the -SH and the N-terminal positions, respectively. In the presence of glutamine the fluorescence of acrylodan is quenched, while the fluorescence of europium complex remains constant. In this report we describe an innovative technique, the so called lifetime assisted ratiometric sensing to discriminate the two fluorescence signals using minimal optics and power requirements. This method exploits the large difference between the fluorescence lifetimes of the two fluorophores to isolate the individual fluorescence from each other by alternating the modulation frequency of the excitation light between 300 Hz and 10 kHz. The result is a ratiometric optical method that does not require expensive and highly attenuating band pass filters for each of the dyes, but only one long pass filter for both. Thus, the signal to noise ratio is enhanced, and at the same time, the optical setup is simplified. The end product is a simple sensing device suitable for low-cost applications such as point-of-care diagnostics or in-the-field analysis.

Indexed as

2-NaphthylamineBiosensing TechniquesCarrier ProteinsGlutamineModels, TheoreticalProtein BindingProtein Structure, SecondarySpectrometry, Fluorescence2-NaphthylamineacrylodanCarrier ProteinsGlutamine

Identifiers

PMID18786501
PMCPMC2783298

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.