Evidence map›Paper›PMID 36275095›Full record

ReviewRSC advances2022

Nanozyme-based sensors for detection of food biomarkers: a review.

Fareeha Arshad, Noor Faizah Mohd-Naim, Rona Chandrawati, Daniel Cozzolino, Minhaz Uddin Ahmed

Abstract readReview
In one paragraph

Review in RSC advances, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Review
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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

5 authors.

Fareeha ArshadBiosensors and Nanobiotechnology Laboratory, Faculty of Science, Universiti Brunei Darussalam Integrated Science Building Jalan Tungku Link Gadong BE 1410 Brunei Darussalam minhaz.ahmed@ubd.edu.bn minhaz.ahmed@outlook.com.ORCID https://orcid.org/0000-0002-6962-1927
Noor Faizah Mohd-NaimBiosensors and Nanobiotechnology Laboratory, Faculty of Science, Universiti Brunei Darussalam Integrated Science Building Jalan Tungku Link Gadong BE 1410 Brunei Darussalam minhaz.ahmed@ubd.edu.bn minhaz.ahmed@outlook.com.ORCID https://orcid.org/0000-0002-9496-6249
Rona ChandrawatiSchool of Chemical Engineering, University of New South Wales (UNSW Sydney) Sydney NSW 2052 Australia.ORCID https://orcid.org/0000-0002-9780-8844
Daniel CozzolinoCentre for Nutrition and Food Sciences, The University of Queensland Australia.ORCID https://orcid.org/0000-0001-6247-8817
Minhaz Uddin AhmedBiosensors and Nanobiotechnology Laboratory, Faculty of Science, Universiti Brunei Darussalam Integrated Science Building Jalan Tungku Link Gadong BE 1410 Brunei Darussalam minhaz.ahmed@ubd.edu.bn minhaz.ahmed@outlook.com.ORCID https://orcid.org/0000-0002-8267-8506

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nanozymes have piqued the curiosity of scientists in recent years because of their ability to demonstrate enzyme-like activity combined with advantages such as high stability, inexpensive availability, robust activity, and tunable properties. These attributes have allowed the successful application of nanozymes in sensing to detect various chemical and biological target analytes, overcoming the shortcomings of conventional detection techniques. In this review, we discuss recent developments of nanozyme-based sensors to detect biomarkers associated with food quality and safety. First, we present a brief introduction to this topic, followed by discussing the different types of sensors used in food biomarker detection. We then highlight recent studies on nanozyme-based sensors to detect food markers such as toxins, pathogens, antibiotics, growth hormones, metal ions, additives, small molecules, and drug residues. In the subsequent section, we discuss the challenges and possible solutions towards the development of nanozyme-based sensors for application in the food industry. Finally, we conclude the review by discussing future perspectives of this field towards successful detection and monitoring of food analytes.

Identifiers

PMID36275095
PMCPMC9475342

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.