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Record W4410593420 · doi:10.1111/jfpe.70137

Storage Stability of Selected Vegetable Purees in High Barrier Pouches Processed With Pressure‐Assisted Thermal Sterilization

2025· article· en· W4410593420 on OpenAlexfundno aff
Zeyad Albahr, Girish M. Ganjyal, Juming Tang, Shyam S. Sablani

Bibliographic record

VenueJournal of Food Process Engineering · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMicrobial Inactivation Methods
Canadian institutionsnot available
FundersHatchNational Institute of Food and AgricultureU.S. Department of Agriculture
KeywordsSterilization (economics)Food scienceThermal stabilityChemistryMaterials scienceBusiness

Abstract

fetched live from OpenAlex

ABSTRACT This study evaluated the stability of physicochemical properties, including the enzymatic activity of polyphenol oxidase (PPO) and the concentration of natural pigments, of three vegetable purees packaged in high barrier pouches after pressure‐assisted thermal sterilization (PATS) and 6 months storage. The red beetroot, red cabbage, and carrot purees sealed in a high‐barrier polymeric pouch were subjected to a PATS treatment at an operating pressure of 600 MPa and a starting vessel temperature of 90°C for a 5 min process. After PATS, the residual activities of PPO ranged from non‐detectable to 8.1%. A total color difference (ΔE) in different purees varied between 4.23 and 5.53. The PATS treatment caused significant degradation in the content of betalains in the beet puree, while both anthocyanins in the cabbage puree and beta‐carotene in the carrot puree exhibited a higher retention. During the 6 months of storage, cabbage puree showed a higher ΔE value and PPO residual activities than beetroot and carrot purees. Both anthocyanins and betalains experienced significant degradation, but beta‐carotene had a high storage stability.

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 score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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)0.0010.000

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 head0.008
GPT teacher head0.237
Teacher spread0.230 · 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

Citations2
Published2025
Admission routes1
Has abstractyes

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