Evidence map›Paper›PMID 32213909›Full record

ReviewSensors (Basel, Switzerland)2020

Application of Microfluidic Chip Technology in Food Safety Sensing.

Hongwei Gao, Chunlei Yan, Wei Wu, Juan Li

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Sensors (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

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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

4 authors.

Hongwei GaoCollege of Mechanical and Electrical Engineering, Qingdao Agricultural University, Qingdao 266109, Shandong, China.
Chunlei YanCollege of Food Science and Engineering, Qingdao Agricultural University, Qingdao 266109, Shandong, China.
Wei WuCollege of Food Science and Engineering, Qingdao Agricultural University, Qingdao 266109, Shandong, China.ORCID 0000-0002-1772-3841
Juan LiCollege of Mechanical and Electrical Engineering, Qingdao Agricultural University, Qingdao 266109, Shandong, China.

Funding

Breeding Plan of Shandong Provincial Qingchuang Research Team 2019Foundation of Shandong Key Laboratory of Big-data Driven Safety Control Technology for Complex Systems SKDK202002Innovative R & D team based on high-end modern agricultural equipment NoneNational Natural Science Foundation of China 81703228, 41674037, 61374126
6 · The paper itself

Abstract

Food safety analysis is an important procedure to control food contamination and supervision. It is urgently needed to construct effective methods for on-site, fast, accurate and popular food safety sensing. Among them, microfluidic chip technology exhibits distinguish advantages in detection, including less sample consumption, fast detection, simple operation, multi-functional integration, small size, multiplex detection and portability. In this review, we introduce the classification, material, processing and application of the microfluidic chip in food safety sensing, in order to provide a good guide for food safety monitoring.

Indexed as

Biosensing TechniquesFood SafetyMicrofluidicsFood AdditivesPesticidesFood AdditivesPesticidesfood pollution detectionmicrofluidic chipmultiple detectionrapid sensing

Identifiers

PMID32213909
PMCPMC7146374

What OpenQuestion 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 OpenQuestion graph.