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Antioxidant Activity of Hempseed-Infused Kombucha: An In Vivo Study Using <i>Caenorhabditis elegans</i>

2025· article· en· W4406949826 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueACS Food Science & Technology · 2025
Typearticle
Languageen
FieldMedicine
TopicTea Polyphenols and Effects
Canadian institutionsUniversity of Ottawa
FundersConsejo Nacional de Ciencia y TecnologíaUniversidad de las Américas PueblaUniversity of Ottawa
KeywordsCaenorhabditis elegansAntioxidantIn vivoChemistryFood sciencePharmacologyBiologyBiochemistryBiotechnologyGene

Abstract

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High Resolution Image Download MS PowerPoint Slide Oxidative stress contributes to aging and degenerative diseases. Hempseed-added kombucha (HK) contains higher levels of antioxidants, phenolics, and proteins than traditional kombucha (CK), suggesting a greater potential to combat oxidative stress. The aim of this study was to evaluate the effect of HK on the increase in resistance to oxidative stress using the in vivo Caenorhabditis elegans biological model. Antioxidant capacity (AC) was measured with DPPH+ and ABTS+ assays, while oxidative stress resistance was assessed via survival and ROS production in C. elegans . The DPPH+ assay showed AC of 0.119 mg Trolox equivalent (TE)/mL for CK and 0.163 mg TE/mL for HK. The ABTS+ assay showed AC of 0.101 mg TE/mL for CK and 0.136 mg TE/mL for HK, with significant differences ( p < 0.05). Juglone-induced oxidative damage was reduced by 10–15% with CK and 30–35% with HK. HK enhanced survival and reduced ROS levels in nematodes. These findings highlight HK’s potential as a superior functional beverage for dietary interventions against oxidative stress.

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 score0.018
Threshold uncertainty score0.676

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.005
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.018
GPT teacher head0.308
Teacher spread0.290 · 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