Evidence map›Paper›PMID 38706979›Full record

ReviewBiomicrofluidics2024

Microfluidic paper analytic device (μPAD) technology for food safety applications.

Soja Saghar Soman, Shafeek Abdul Samad, Priyamvada Venugopalan, Nityanand Kumawat, Sunil Kumar

Abstract readReview
In one paragraph

Review in Biomicrofluidics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
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.

Soja Saghar SomanDivision of Engineering, New York University Abu Dhabi, Abu Dhabi, P.O. Box 129188, UAE.ORCID https://orcid.org/0000-0002-7389-2674
Shafeek Abdul SamadDivision of Engineering, New York University Abu Dhabi, Abu Dhabi, P.O. Box 129188, UAE.ORCID https://orcid.org/0009-0002-1094-3857
Priyamvada VenugopalanDivision of Engineering, New York University Abu Dhabi, Abu Dhabi, P.O. Box 129188, UAE.ORCID https://orcid.org/0000-0002-0118-9613
Nityanand KumawatDivision of Engineering, New York University Abu Dhabi, Abu Dhabi, P.O. Box 129188, UAE.ORCID https://orcid.org/0000-0003-1634-437X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Foodborne pathogens, food adulterants, allergens, and toxic chemicals in food can cause major health hazards to humans and animals. Stringent quality control measures at all stages of food processing are required to ensure food safety. There is, therefore, a global need for affordable, reliable, and rapid tests that can be conducted at different process steps and processing sites, spanning the range from the sourcing of food to the end-product acquired by the consumer. Current laboratory-based food quality control tests are well established, but many are not suitable for rapid on-site investigations and are costly. Microfluidic paper analytical devices (μPADs) are a fast-growing field in medical diagnostics that can fill these gaps. In this review, we describe the latest developments in the applications of microfluidic paper analytic device (μPAD) technology in the food safety sector. State-of-the-art μPAD designs and fabrication methods, microfluidic assay principles, and various types of μPAD devices with food-specific applications are discussed. We have identified the prominent research and development trends and future directions for maximizing the value of microfluidic technology in the food sector and have highlighted key areas for improvement. We conclude that the μPAD technology is promising in food safety applications by using novel materials and improved methods to enhance the sensitivity and specificity of the assays, with low cost.

Identifiers

PMID38706979
PMCPMC11068414

What OpenQuestion holds

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LicenceCC BY
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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.