Evidence map›Paper›PMID 36845479›Full record

ArticleFood chemistry: X2023

Based on quality, energy consumption selecting optimal drying methods of mango slices and kinetics modelling.

Qiongni Lin, Xinyan Zong, Huixia Lin, Xiaojun Huang, Junqiao Wang, Shaoping Nie

Abstract read
In one paragraph

Article in Food chemistry: X, 2023. 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. Convective Drying of Brown Seaweed (Foods (Basel, Switzerland) · 2025
    Article
  4. Article
  5. Article
  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

6 authors.

Qiongni LinState Key Laboratory of Food Science and Technology, Nanchang University,235 Nanjing East Road, Nanchang, Jiangxi Province 330047, China.
Xinyan ZongState Key Laboratory of Food Science and Technology, Nanchang University,235 Nanjing East Road, Nanchang, Jiangxi Province 330047, China.
Huixia LinCollege of Environment and Public Health, Xiamen Huaxia University, Xiamen 361024, China.
Xiaojun HuangState Key Laboratory of Food Science and Technology, Nanchang University,235 Nanjing East Road, Nanchang, Jiangxi Province 330047, China.
Junqiao WangState Key Laboratory of Food Science and Technology, Nanchang University,235 Nanjing East Road, Nanchang, Jiangxi Province 330047, China.
Shaoping NieState Key Laboratory of Food Science and Technology, Nanchang University,235 Nanjing East Road, Nanchang, Jiangxi Province 330047, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mangoes have a short shelf life because of their high-water content. This study aimed to compare the effect of three drying methods (HAD, FIRD and VFD) on mango slices to improve product quality and reduce costs. Mangoes were dried at various temperatures (50, 60, 70 °C) with different slice thicknesses (3, 5, 7, 10 mm). Results indicated that FIRD was the most cost-effective with the dried mango containing the highest sugar-acid ratio, and when the mango slices thickness was 7 mm and drying at 70 °C, the ascorbic acid content, rehydration ratio, sugar-acid ratio, and energy consumption per unit volume reached 56.84 ± 2.38 mg/100 g, 2.41 ± 0.05, 83.87 ± 2.14, and 0.53 kWh/L. Among three mathematical models, the Page model described the most satisfactory drying behaviour of mango slices in FIRD. This study provides useful information in mango processing industry and FIRD is supposed to be a promising drying method.

Indexed as

Drying kineticsFar-infrared dryingSlice thicknessesTemperatures

Identifiers

PMID36845479
PMCPMC9945624

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.