Evidence map›Paper›PMID 33129235›Full record

ArticleIranian biomedical journal2021

Developing a Fluorescent Hybrid Nanobiosensor Based on Quantum Dots and Azoreductase Enzyme forMethyl Red Monitoring.

Fahimeh Hajipour, Sedigheh Asad, Mohammad Ali Amoozegar, Ali Asghar Javidparvar, Jialun Tang, Haizheng Zhong, Khosro Khajeh

Open access · diamondAbstract read
In one paragraph

Article in Iranian biomedical journal, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.7field-weighted citation impact, top 16% of its field
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

2 citing papers in PubMed, 32 citations in OpenAlex.

  1. Article
  2. Review
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

7 authors at 3 institutions in 2 countries.

Fahimeh HajipourDepartment of Biochemistry, Faculty of Biological Science, Tarbiat Modares University, Tehran, Iran.
Sedigheh AsadDepartment of Biotechnology, College of Science, University of Tehran, Tehran, Iran.
Mohammad Ali AmoozegarExtremophiles Laboratory, Department of Microbiology, Faculty of Biology, College of Sciences, University of Tehran, Tehran, Iran.
Ali Asghar JavidparvarSchool of Metallurgy and Materials Engineering, College of Engineering, University of Tehran, Tehran, Iran.
Jialun TangBeijing Key Laboratory of Nanophotonics and Ultrafine Optoelectronic Systems, School of Materials Science and Engineering, Beijing Institute of Technology, Beijing, China.
Haizheng ZhongBeijing Key Laboratory of Nanophotonics and Ultrafine Optoelectronic Systems, School of Materials Science and Engineering, Beijing Institute of Technology, Beijing, China.
Khosro KhajehDepartment of Biochemistry, Faculty of Biological Science, Tarbiat Modares University, Tehran, Iran.
University of Tehran · IRBeijing Institute of Technology · CNTarbiat Modares University · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Azo dyes are the most widely used synthetic colorants in the textile, food, pharmaceutical, cosmetic, and other industries, accounting for nearly 70% of all dyestuffs consumed. Recently, much research attention has been paid to efficient monitoring of these hazardous chemicals and their related metabolites because of their potentially harmful effect on environmental issues. In contrast to the complex and expensive instrumental procedures, the detection system based on the quantum dots (QDs) with the superior optochemical properties provides a new era in the pollution sensing and prevention. Methods: We have developed a QD-enzyme hybrid system to probe methyl red (MR) in aqueous solutions using a fluorescence quenching procedure. Results: The azoreductase enzyme catalyzed the reduction of azo group in MR, which can efficiently decrease the Förster resonance energy transfer between the QDs and MR molecules. The correlation between the QDs photoluminescence recovery and MR enzymatic decolorization at the neutral phosphate buffer permitted the creation of a fluorescence quenching-based sensor. The synthesized biosensor can be used for the accurate detection of MR in a linear calibration over MR concentrations of 5-84 μM, with the limit of detection of 0.5 μM in response time of three minutes. Conclusion: Our findings revealed that this fluorometric sensor has the potential to be successfully applied for monitoring a wide linear range of MR concentration with the relative standard deviation of 4% rather than the other method.

Indexed as

Azo CompoundsBiosensing TechniquesFluorescenceNitroreductasesQuantum DotsWater Pollutants, ChemicalAzo Compoundsazoreductasemethyl redNitroreductasesWater Pollutants, ChemicalAzoreductaseMethyl redQuantum dots

Identifiers

PMID33129235
PMCPMC7748117
OpenAlexW3096891289

What OpenQuestion holds

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Registered trials

None linked

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.