Evidence map›Paper›PMID 36429319›Full record

ReviewFoods (Basel, Switzerland)2022

Recent Trends of Microfluidics in Food Science and Technology: Fabrications and Applications.

Ruojun Mu, Nitong Bu, Jie Pang, Lin Wang, Yue Zhang

Abstract readReview
In one paragraph

Review in Foods (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Review
  6. Article
  7. 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.

Ruojun MuCollege of Food Science, Fujian Agriculture and Forestry University, Fuzhou 350002, China.
Nitong BuCollege of Food Science, Fujian Agriculture and Forestry University, Fuzhou 350002, China.
Jie PangCollege of Food Science, Fujian Agriculture and Forestry University, Fuzhou 350002, China.
Lin WangDepartment of Engineering Mechanics, Tsinghua University, Beijing 100084, China.
Yue ZhangSchool of Food Science and Biotechnology, Zhejiang Gongshang University, Hangzhou 310018, China.

Funding

China Postdoctoral Science Foundation 2022M712180Key project of Natural Science Foundation of Fujian Province 2022J02021Natural Science Foundation from Fujian Provincial Department of Science and Technology 2020J01556Scientific Research Foundation for Distinguished Young Scientists from Fujian Agriculture and Forestry University xjq202006
6 · The paper itself

Abstract

The development of novel materials with microstructures is now a trend in food science and technology. These microscale materials may be applied across all steps in food manufacturing, from raw materials to the final food products, as well as in the packaging, transport, and storage processes. Microfluidics is an advanced technology for controlling fluids in a microscale channel (1~100 μm), which integrates engineering, physics, chemistry, nanotechnology, etc. This technology allows unit operations to occur in devices that are closer in size to the expected structural elements. Therefore, microfluidics is considered a promising technology to develop micro/nanostructures for delivery purposes to improve the quality and safety of foods. This review concentrates on the recent developments of microfluidic systems and their novel applications in food science and technology, including microfibers/films via microfluidic spinning technology for food packaging, droplet microfluidics for food micro-/nanoemulsifications and encapsulations, etc.

Indexed as

emulsionsfunctional foodmicroencapsulationmicrofluidicsspinning technology

Identifiers

PMID36429319
PMCPMC9689895

What OpenQuestion holds

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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.