MétaCan
Menu
Back to cohort
Record W2998904654 · doi:10.1111/jfpe.13367

Ultrasound‐steam combination process for microbial decontamination and heat transfer enhancement

2020· article· en· W2998904654 on OpenAlexaff
Regina Basumatary, Hamed Vatankhah, Mritunjay Dwivedi, Dalia John, Hosahalli S. Ramaswamy

Bibliographic record

VenueJournal of Food Process Engineering · 2020
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMicrobial Inactivation Methods
Canadian institutionsMcGill University
Fundersnot available
KeywordsHuman decontaminationHeat transferProcess engineeringSteam explosionProcess (computing)Food industryWaste managementContaminationMaterials sciencePulp and paper industryEnvironmental scienceChemistryFood scienceComputer scienceThermodynamics

Abstract

fetched live from OpenAlex

Abstract Steam is by far the most effective heating medium used in commercial thermal processing applications. However, for rapid short time direct heating of food products it poses some serious difficulties because of the presence of air along the surface and internal tissues of the food products interferes with the heat transfer mechanism and slows down the effective heating of the surface. Addition of an ultrasound environment to steam can assist in removing this surface barrier and promote better heat transfer. The objective of this research was to evaluate the suitability of ultrasound—steam combination heating for (a) microbial decontamination and (b) enhancing heat transfer. It was demonstrated that short‐time (15 s) combined ultrasound—steam heating could result in more than five logarithmic cycle destruction ofEscherichia colipopulation on carrot surfaces. Secondly, for longer time heating, the combination heat treatment was more efficient than steam alone for enhancing heat transfer rates contributing to achieve a lower heating rate index, higher temperatures and higher process lethality values. Practical Applications Surface contamination of fruits, vegetables, and meats present a serious problem with respect to public health safety and their marketability. Many techniques have been employed for microbial decontamination of food contact surfaces only with limited success. New methods are always evolving to improve the process efficiency without impairing the product quality. Physical methods are gaining more popularity than chemicals due to consumer concerns for chemical additives. While steam and sound have been independently used successfully for various food processing applications, their combination has not been widely tried either to improve the efficacy of surface decontamination or improved heat transfer. The main focus of this study is to review and demonstrate the success ultrasound‐steam combination process.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.015
GPT teacher head0.273
Teacher spread0.258 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations12
Published2020
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Food Process EngineeringSame topicMicrobial Inactivation MethodsFrench-language works237,207