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HIGH-PRESSURE DESTRUCTION KINETICS OF SPOILAGE AND PATHOGENIC MICROORGANISMS IN MANGO JUICE

2011· article· en· W2135781745 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Food Processing and Preservation · 2011
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMicrobial Inactivation Methods
Canadian institutionsMcGill University
Fundersnot available
KeywordsLeuconostoc mesenteroidesListeria monocytogenesFood spoilageFood scienceMicroorganismMicrobiologyBacteriaChemistryFood preservationEscherichia coliBacterial growthBiologyLactic acidBiochemistry

Abstract

fetched live from OpenAlex

ABSTRACT High-pressure (HP) destruction kinetics of three common spoilage microorganisms, Zygosaccharomyces bailii, Pichia membranaefaciens and Leuconostoc mesenteroides, and two pathogenic microorganisms, Escherichia coli O157:H7 and Listeria monocytogenes Scott A, were evaluated in processed mango juice at pressures ranging between 250 and 550 MPa and a hold time 0–60 min at 20–25C with genera-specific initial counts in the 106 to 108 cfu/mL range. Microbial destruction was evaluated based on (1) an initial kill which is due to a pressure pulse (pulse effect) and (2) a subsequent semi-logarithmic destruction during the pressure hold time. The decimal reduction times were genera-specific and decreased with an increase in pressure. Pressure sensitivity of microbial destruction rate was evaluated by a zP value. L. mesenteroides was found to be most resistant spoilage bacteria; yet its complete destruction was achieved by a 5-min treatment at 400 MPa. Pathogenic E. coli was the most resistant of all the bacterial strains tested. A six-log reduction in E. coli O157:H7 was observed at 400 MPa when treated for 10 min, while at 500 and 550 MPa, there were no survivors after the 1-min treatment. HP processes were established using a 6, 8 and 10D treatment based on E. coli O157:H7, and counts were monitored after treatment and during subsequent storage at 20, 12 and 4C for 28 days. Results showed that these processes were satisfactory because no growth of E. coli O157:H7 was observed during the entire storage time. PRACTICAL APPLICATIONS High-pressure (HP) processing is becoming a full commercial reality, and fruit-based HP processed products are appearing in the marketplace at a rapidly increasing pace. Successful use of HP processing relies on established processes based on scientifically evaluated destruction kinetics of spoilage and pathogenic microorganisms, and adequately verified process safety through microbial challenge studies. This study is based on such an approach for HP processing of mango juice demonstrating the technology to be feasible if the process is properly established. The study provides the scientific kinetic base line data for establishing HP process of mango juice, which is a well-recognized globally important exotic fruit crop.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.065
Threshold uncertainty score0.249

Codex and Gemma teacher scores by category

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)0.0000.000

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 head0.026
GPT teacher head0.255
Teacher spread0.229 · 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