Evidence map›Paper›PMID 39766962›Full record

ArticleFoods (Basel, Switzerland)2024

Evaluation of Drying Characteristics and Quality Attributes for Microwave Vacuum Drying of Pork Skin Crisps.

Yuangang Li, Jingming Zhang, Junsheng Wang, Junpeng Ren, Chuanai Cao, Qian Liu, Xinning Huang

Abstract read
In one paragraph

Article in Foods (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

7 authors.

Yuangang LiCollege of Food Science, Northeast Agricultural University, Harbin 150030, China.ORCID 0009-0008-4011-5490
Jingming ZhangCollege of Food Science, Northeast Agricultural University, Harbin 150030, China.
Junsheng WangCollege of Food Science, Northeast Agricultural University, Harbin 150030, China.
Junpeng RenCollege of Food Science, Northeast Agricultural University, Harbin 150030, China.
Chuanai CaoCollege of Food Science, Northeast Agricultural University, Harbin 150030, China.
Qian LiuCollege of Food Science, Northeast Agricultural University, Harbin 150030, China.ORCID 0000-0003-1692-3267
Xinning HuangCollege of Engineering, Northeast Agricultural University, Harbin 150030, China.

Funding

National Natural Science Foundation of China 32472383Youth Leading Talent Support Program of Northeast Agricultural University NEAU2023QNLJ-014
6 · The paper itself

Abstract

As an important by-product of pork, pork skin can be processed into meat-based leisure food products to improve its utilization. In this study, microwave vacuum drying (MVD) technology was used to investigate the effects of microwave powers (600, 700, and 800 W) and processing duration on the drying characteristics and quality attributes of pork skin crisps (PSC). Five classical drying models were used to non-linearly fit the experimental data, and the Midilli et al. model was suitable for characterizing the MVD process of PSC. Before reaching a constant rate of drying, increasing microwave power and time can improve the brittleness and expansion ratio of PSC. In the constant rate drying stage, most of the free water in PSC was removed, showing the best brittleness and a stable expansion ratio. High power and long processing time can lead to serious lipid oxidation and change the flavor of PSC. Overall, the desired quality of PSC is recommended as 700 W for 6 min. This study can provide a reference for MVD application of meat-based by-product leisure foods.

Indexed as

by product utilizationdrying characteristicsmicrowave vacuum dryingpork skin crispsquality attributes

Identifiers

PMID39766962
PMCPMC11675454

What OpenQuestion holds

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Registered trials

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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.