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First identification of 1-hydroxyoctan-3-one in apple purees: Use as a fruit quality segmentation marker and correlation with octane-1,3-diol concentration

2025· article· en· W4414397062 on OpenAlexfundno aff
Hippolyte Mouriot, Lucas Suc, Karine Gourrat, Géraldine Lucchi, Teddy Godet, Valérie Nolleau, Fabienne Remize, Aurélie Roland

Bibliographic record

VenueFood Chemistry · 2025
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicFermentation and Sensory Analysis
Canadian institutionsnot available
FundersAssociation Nationale de la Recherche et de la TechnologieCanadian Seed Growers' Association
KeywordsOrganolepticFood spoilageSensory analysisMushroomAromaBotrytis cinerea

Abstract

fetched live from OpenAlex

An organoleptic defect described as musty and/or fresh mushroom can occur in cooked apple products. GC-Olfactometry was used to characterize puree spoilage associated with sensory descriptors mushroom, cellar-like, musty, dusty or metallic. This approach, coupled with pure standards analysis allowed us to identify for the first time 1-hydroxyoctan-3-one in spoiled matrices. Using a targeted approach, 1-hydroxyoctan-3-one and octane-1,3-diol, were quantified by Stable Isotope Dilution Assay LC-MS/MS. Quantification results attested that these compounds exhibited a higher concentration in spoiled purees than in control ones and could thus be relevant markers of fruit spoilage. In a second time, the origin of 1-hydroxyoctan-3-one and octane-1,3-diol was investigated by contaminating several apple purees with specific fungal species. A Penicillium digitatum strain appeared to be the highest 1-hydroxyoctan-3-one producer, while a Botrytis cinerea strain led to a decrease of octane-1,3-diol concentration in spoiled products. It opens up avenues for the quality segmentation of fruits.

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 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 score0.358
Threshold uncertainty score0.182

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 head0.018
GPT teacher head0.241
Teacher spread0.223 · 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 teacher head, 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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