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A review on recent advances in cold plasma technology for the food industry: Current applications and future trends

Chizoba Ekezie, Flora-Glad, Sun, Da-Wen, Cheng, Jun-Hu·2017·Trends in Food Science & Technology

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Metadata

Authors
Chizoba Ekezie, F.-G., Sun, D.-W., & Cheng, J.-H.
Venue
Trends in Food Science & Technology
Publisher
Elsevier BV
Published
2017-11
Volume
69
Pages
46-58
ISSN
0924-2244 (ISSN-L)
OpenAlex
W2746228408
Cited by
519
References
4
FWCI
25.18
Type
journal article
Language
en
Open access
closed
Licence
www.elsevier.com/tdm/userlicense/1.0/ (tdm)
Funders
  • International S&T Cooperation Program of China (2015DFA71150)
  • Collaborative Innovation Major Special Projects of Guangzhou City (201508020097, 201604020007, 201604020057)
  • Guangdong Provincial Science and Technology Plan Projects (2015A020209016, 2016A040403040)
  • Key Projects of Administration of Ocean and Fisheries of Guangdong Province (A201401C04)
  • National Key Technologies R&D Program (2015BAD19B03)
  • China Postdoctoral Science Foundation (2017M612672)
  • Fundamental Research Funds for the Central Universities (2017MS067)
  • International and Hong Kong-Macau-Taiwan Collaborative Innovation Platform of Guangdong Province on Intelligent Food Quality Control and Process Technology & Equipment (2015KGJHZ001)
  • Guangdong Provincial R & D Centre for the Modern Agricultural Industry on Non-destructive Detection and Intensive Processing of Agricultural Products
  • Common Technical Innovation Team of Guangdong Province on Preservation and Logistics of Agricultural Products (2016LM2154)
  • Innovation Centre of Guangdong Province for Modern Agricultural Science and Technology on Intelligent Sensing and Precision Control of Agricultural Product Qualities
  • China Scholarship Council (CSC No: 2016GXZ300)

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

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How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: A review on recent advances in cold plasma technology for the food industry: Current applications and future trends. https://app.cochat.ai/papers/10.1016/j.tifs.2017.08.007
The paper
Chizoba Ekezie, F.-G., Sun, D.-W., & Cheng, J.-H. (2017). A review on recent advances in cold plasma technology for the food industry: Current applications and future trends. Trends in Food Science & Technology. https://doi.org/10.1016/j.tifs.2017.08.007

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.