Evidence map›Paper›PMID 35957220›Full record

ReviewSensors (Basel, Switzerland)2022

Giant Magnetoresistance Biosensors for Food Safety Applications.

Shuang Liang, Phanatchakorn Sutham, Kai Wu, Kumar Mallikarjunan, Jian-Ping Wang

Abstract readReview
In one paragraph

Review in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Daily Fungal Cell-Free DNA Testing to Assess Clinical Status duringJournal of fungi (Basel, Switzerland) · 2024
    Article
  4. Article
  5. Review
  6. 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

5 authors.

Shuang LiangDepartment of Chemical Engineering and Materials Science, University of Minnesota, Minneapolis, MN 55455, USA.
Phanatchakorn SuthamDepartment of Food Science and Nutrition, University of Minnesota, St. Paul, MN 55108, USA.ORCID 0000-0001-7540-8391
Kai WuDepartment of Electrical and Computer Engineering, University of Minnesota, Minneapolis, MN 55455, USA.ORCID 0000-0002-9444-6112
Kumar MallikarjunanDepartment of Food Science and Nutrition, University of Minnesota, St. Paul, MN 55108, USA.ORCID 0000-0001-6402-8860
Jian-Ping WangDepartment of Chemical Engineering and Materials Science, University of Minnesota, Minneapolis, MN 55455, USA.ORCID 0000-0003-2815-6624

Funding

Midwest Dairy Food Research Center NANational Institute of Food and Agriculture 2020-67021-31956
6 · The paper itself

Abstract

Nowadays, the increasing number of foodborne disease outbreaks around the globe has aroused the wide attention of the food industry and regulators. During food production, processing, storage, and transportation, microorganisms may grow and secrete toxins as well as other harmful substances. These kinds of food contamination from microbiological and chemical sources can seriously endanger human health. The traditional detection methods such as cell culture and colony counting cannot meet the requirements of rapid detection due to some intrinsic shortcomings, such as being time-consuming, laborious, and requiring expensive instrumentation or a central laboratory. In the past decade, efforts have been made to develop rapid, sensitive, and easy-to-use detection platforms for on-site food safety regulation. Herein, we review one type of promising biosensing platform that may revolutionize the current food surveillance approaches, the giant magnetoresistance (GMR) biosensors. Benefiting from the advances of nanotechnology, hundreds to thousands of GMR biosensors can be integrated into a fingernail-sized area, allowing the higher throughput screening of food samples at a lower cost. In addition, combined with on-chip microfluidic channels and filtration function, this type of GMR biosensing system can be fully automatic, and less operator training is required. Furthermore, the compact-sized GMR biosensor platforms could be further extended to related food contamination and the field screening of other pathogen targets.

Indexed as

Biosensing TechniquesFoodborne DiseasesFood ContaminationFood SafetyHumansNanotechnologybiosensorfoodborne pathogenfood safetygiant magnetoresistancetoxin

Identifiers

PMID35957220
PMCPMC9371012

What Socratic holds

Textmetadata
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 Socratic graph.