Evidence map›Paper›PMID 26904594›Full record

ReviewInternational journal of food science2013

Predicting the Quality of Pasteurized Vegetables Using Kinetic Models: A Review.

Muhammad Aamir, Mahmoudreza Ovissipour, Shyam S Sablani, Barbara Rasco

Abstract readReview
In one paragraph

Review in International journal of food science, 2013. 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.

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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

4 authors.

Muhammad AamirSchool of Food Science, Washington State University, Pullman, WA 99164-6376, USA.
Mahmoudreza OvissipourSchool of Food Science, Washington State University, Pullman, WA 99164-6376, USA.
Shyam S SablaniDepartment of Biological System Engineering, Washington State University, Pullman, WA 99164-6120, USA.
Barbara RascoSchool of Food Science, Washington State University, Pullman, WA 99164-6376, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A resurgence in interest examining thermal pasteurization technologies has been driven by demands for "cleaner" labeling and the need of organic and natural foods markets for suitable preventive measures to impede microbial growth and extend shelf life of minimally processed foods and ready-to-eat foods with a concomitant reduction in the use of chemical preservatives. This review describes the effects of thermal pasteurization on vegetable quality attributes including altering flavor and texture to improve consumer acceptability, stabilizing color, improving digestibility, palatability and retaining bioavailability of important nutrients, and bioactive compounds. Here, we provide kinetic parameters for inactivation of viral and bacterial pathogens and their surrogates and marker enzymes used to monitor process effectiveness in a variety of plant food items. Data on thermal processing protocols leading to higher retention and bioactivity are also presented. Thermal inactivation of foodborne viruses and pathogenic bacteria, specifically at lower pasteurization temperatures or via new technologies such as dielectric heating, can lead to greater retention of "fresh-like" properties.

Identifiers

PMID26904594
PMCPMC4745515

What OpenQuestion holds

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LicenceCC BY
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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.