Evidence map›Paper›PMID 39240389›Full record

ArticleMikrochimica acta2024

Rapid detection of tertiary butylated hydroquinone in food samples using Mn-MOF@f-CNF composite-modified screen-printed electrode.

Praveenkannan Srinivasan, Umamaheswari Rajaji, Mathur Gopalakrishnan Sethuraman, Chelladurai Karuppiah, Kareem Yusuf, Ting-Yu Liu

Abstract read
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In one paragraph

Article in Mikrochimica acta, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

What it found

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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

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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

1 citing paper in PubMed.

  1. Review
4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Praveenkannan SrinivasanDepartment of Chemistry, The Gandhigram Rural Institute-Deemed to Be University, Gandhigram, 624 302, Dindigul, Tamil Nadu, India.
Umamaheswari RajajiDepartment of Materials Engineering, Ming Chi University of Technology, New Taipei City, 243303, Taiwan.
Mathur Gopalakrishnan SethuramanDepartment of Chemistry, The Gandhigram Rural Institute-Deemed to Be University, Gandhigram, 624 302, Dindigul, Tamil Nadu, India. mgsethu@gmail.com.
Chelladurai KaruppiahDepartment of Chemistry and Green-Nano Materials Research Center, Kyungpook National University, Daegu, 41566, Republic of Korea.
Kareem YusufDepartment of Chemistry, College of Science, King Saud University, 11451, Riyadh, Saudi Arabia.
Ting-Yu LiuDepartment of Materials Engineering, Ming Chi University of Technology, New Taipei City, 243303, Taiwan. tyliu@mail.mcut.edu.tw.

Funding

National Science and Technology Council of Taiwan NSTC 111-2221-E-131-020-MY3 & NSTC 112-2622-E-131-002
6 · The paper itself

Abstract

Hydroquinone-based organic molecules are often used as unavoidable preservatives in the food industry. Among these additives, tertiary butylated hydroquinone (TBHQ) is widely employed as a preservative in various processed foods. However, the potential health risks associated with the excessive presence of TBHQ in food products have raised significant concerns. To address this pressing issuea novel binder-free composite composed of a manganese metal-organic framework and functionalized carbon nanofibers (Mn-MOF/f-CNF) has been developed as an electrode modifier for the ultrasensitive detection of TBHQ in food samples. The Mn-MOF/f-CNF composite was achieved using the ultrasonication method, revealing a lamellar sheet-like structure of the Mn-MOF and the curly thread-like fibrous structure of f-CNF. The developed Mn-MOF/f-CNF/SPE sensor system resulted in well-defined redox signals for TBHQ detection in a neutral pH solution. Compared to the unmodified SPE system, the modified system showed approximately a 300 mV reduction in overpotential and a twofold increase in peak current signal for TBHQ detection. The Mn-MOF/f-CNF/SPE sensor system showed a linear concentration window of 0.01 to 800 μM with a sensitivity of 6.28 µA µM

Indexed as

Electrochemical TechniquesElectrodesHydroquinonesLimit of DetectionManganeseMetal-Organic FrameworksFood AnalysisFood ContaminationFood Preservatives2-tert-butylhydroquinoneFood PreservativesHydroquinonesManganeseMetal-Organic FrameworksAntioxidantDifferential pulse voltammetryElectrochemical detectionMn-MOF/f-CNF compositeUltrasonication method

Identifiers

PMID39240389

What OpenQuestion holds

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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.