Evidence map›Paper›PMID 39144191›Full record

ArticleFood science and biotechnology2024

Conductive hydro drying of ripened papaya: optimization and product characterization.

Srishti Tuteja, Imdadul Hoque Mondal, Kshirod Kumar Dash

Abstract read
In one paragraph

Article in Food science and biotechnology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed.

  1. 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

3 authors.

Srishti TutejaDepartment of Food Technology and Nutrition, Lovely Professional University, Phagwara, 144001 India.
Imdadul Hoque MondalDepartment of Food Technology and Nutrition, Lovely Professional University, Phagwara, 144001 India.
Kshirod Kumar DashDepartment of Food Technology, Ghani Khan Choudhury Institute of Engineering and Technology, Malda, 732141 India.ORCID 0000-0002-3875-1286

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study addresses the product-process characterization of refractance window drying of ripened papaya, considering the abundant availability and underutilization of the perishable product. A statistical design approach with varied drying temperature, time and sample thickness has been adopted to characterize moisture content, total phenolic content, total flavonoid content, vitamin C, and 2,2-diphenyl-1-picrylhydrazyl (DPPH) radical scavenging activity. The model fitting, analysis of variance, and numerical optimization showed that the quadratic model was the most suitable model for the response variables. The optimum process parameters were attained at a drying temperature of 90 °C, time 86.92 min, and sample thickness of 2.93 mm. The optimal responses were moisture content 2.81%, total phenolic content 305.58 mg GAE/g, total flavonoid content 51.92 mg QUE/g, DPPH radical scavenging activity 91.56% and vitamin C 219.88 mg/100 g. With such high essential nutrients, refractance window dried ripened papaya can be utilized for commercially viable value-added food products.

Indexed as

Nutritional valuesOptimizationPapayaPhenolic compoundsRefractive window drying

Identifiers

PMID39144191
PMCPMC11319686

What OpenQuestion holds

Textmetadata
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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.