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Record W4402864661 · doi:10.1080/07373937.2024.2407955

Refractance window drying of Spanish cherry ( <i>Mimusops elengi</i> Linn) pulp: Impacts on drying kinetics, color, and phytochemical properties

2024· article· en· W4402864661 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

VenueDrying Technology · 2024
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPolysaccharides and Plant Cell Walls
Canadian institutionsMcGill University
Fundersnot available
KeywordsPhytochemicalPulp (tooth)ChemistryHorticultureMedicineBiologyDentistryBiochemistry

Abstract

fetched live from OpenAlex

In present study, Spanish cherry pulp (SCP) was dried using refractance window (RW) dryer at varying temperatures (50 to 90 °C) to investigate the impacts on drying kinetics and physicochemical properties and compared with freeze-dried samples. An increasing RW drying temperature from 50 to 90 °C reduced drying time from 320 to 80 min. The water and oil absorption capacity showed no significant (p < 0.05) changes in RW-dried SCP samples. Noticeable changes in color values, ascorbic acid, β-carotenoid, total phenol content, total flavonoid content, and antioxidant activity were observed on increasing RW drying temperature. As per results, compared to control, RW drying at 50 °C retained most of the nutrients. From nutrient retention perspective, RW drying at 80 and 90 °C may not be suitable SCP samples. From multivariance analysis, RW drying of SCP samples can be performed at 60 °C instead of 70 °C for better nutrient contents.

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 score0.041
Threshold uncertainty score0.479

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.015
GPT teacher head0.207
Teacher spread0.191 · 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