Evidence map›Paper›PMID 29391632›Full record

ArticleJournal of food science and technology2018

Modeling sorption phenomena and moisture migration rates in paprika (

S S Shirkole, P P Sutar

Abstract read
In one paragraph

Article in Journal of food science and technology, 2018. 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
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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

2 authors.

S S ShirkoleDepartment of Food Process Engineering, National Institute of Technology, Rourkela, Rourkela, 769008 India.ORCID 0000-0001-8324-2846
P P SutarDepartment of Food Process Engineering, National Institute of Technology, Rourkela, Rourkela, 769008 India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the present study, the GAB and moisture migration rate models were used to predict the shelf life of paprika under domestic (40 °C and 90% RH) and industrial (5, 10, 15 and 20 °C with 70% RH) storage conditions. The correlations between physicochemical characteristics and moisture content of paprika were developed to estimate the stability of the paprika. The estimated shelf life of low moisture paprika (4.40% dry basis) was found to be 101 and 31 days in HDPE and LDPE packages, respectively when stored in domestic condition. In industrial storage condition, the shelf life prediction was 5.47 years in HDPE and 1.68 years in LDPE packages. The first order kinetic models of extractable color (ASTA) and degree of caking described the quality degradation of paprika during storage. The relative humidity and temperature of the storage environment were significant parameters affecting the stability of paprika. The shelf life of paprika can be extended by storage at or below monolayer moisture content and low temperature.

Indexed as

Degradation kineticsPaprikaQuality alterationsShelf lifeWater activity

Identifiers

PMID29391632
PMCPMC5785393

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.