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Record W4398156521 · doi:10.1093/fqsafe/fyae029

Characterization of slightly acidic electrolyzed water (SAEW) on effective disinfection against microbial safety and retention of phenolic compound in SAEW treated fresh romaine lettuce

2024· article· en· W4398156521 on OpenAlex
John Shi, Sophia Jun Xue, Joshua Tang

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

VenueFood Quality and Safety · 2024
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicListeria monocytogenes in Food Safety
Canadian institutionsAgriculture and Agri-Food Canada
Fundersnot available
KeywordsChemistryChlorineHypochlorous acidReduction potentialBacteriaFood scienceAerobic bacteriaChlorideNuclear chemistryInorganic chemistryBiochemistryOrganic chemistry

Abstract

fetched live from OpenAlex

Abstract Objectives This study investigated the effects of processing parameters, specifically the flow rate and the combination of diluted HCl and salt (NaCl) at different concentrations, on the properties of slightly acidic electrolyzed water (SAEW) that was produced. Materials and Methods The properties of the SAEW that were analyzed included pH, oxidation–reduction potential (ORP), available chlorine concentration (ACC), and generated hypochlorous acid (HClO) concentration. Meanwhile, the total aerobic bacteria and total phenolic content retention were determined. Results NaCl alone resulted in the lowest pH (<4) and the highest ORP values (>1000 mV). Increasing the HCl concentration significantly raised the pH to greater than 5 and lowered the ORP values of SAEW, with the highest pH (5.7) observed with 1.5% HCl and 5% NaCl. The highest HClO concentration of 19.65±1.03 mg/L was obtained with 1.5% HCl:5% NaCl. Interestingly, the concentration of NaCl had no significant effect on the production of HClO. Furthermore, different concentrations of combined NaCl and HCl significantly influenced the inactivation efficiency on total aerobic bacteria count and changes in phenolic compound content. Increasing HCl concentrations from 0.5% to 2.0% led to an increase in the reduction of aerobic bacteria counts from 2.51 to 4.22 log colony-forming units (CFU)/g with 5% NaCl and from 2.49 to 3.52 log CFU/g with 10% NaCl. Flow rates significantly contributed to the change in HClO formation and altered the properties of the produced SAEW. The results indicated that SAEW treatment significantly reduced total aerobic bacteria counts. A lower flow rate (0.3 L/min) produced the highest log reduction. Additionally, SAEW treatment led to a reduction in phenolic content, even though a considerable amount was retained at lower HClO concentrations. Conclusions These findings offer valuable information on optimizing SAEW treatment protocols for enhancing microbial safety and extending the shelf life of fresh produce, while considering the impact on the content of phenolic compounds.

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)0.001
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 score0.069
Threshold uncertainty score0.771

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.027
GPT teacher head0.284
Teacher spread0.257 · 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