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Record W7132643637

Influence of Pressure and Temperature on the Quality of Aronia Juice Concentrate by Reverse Osmosis

2014· dissertation· hr· W7132643637 on OpenAlexaboutno aff
Petar Blažević

Bibliographic record

VenueRepository of the Faculty of Food Technology Osijek · 2014
Typedissertation
Languagehr
FieldBiochemistry, Genetics and Molecular Biology
TopicMicrobial Inactivation Methods
Canadian institutionsnot available
Fundersnot available
KeywordsQuality (philosophy)Reverse osmosisMembrane technologyPreservative
DOInot available

Abstract

fetched live from OpenAlex

Cilj ovog rada je bio koncentrirati sok aronije postupkom reverzne osmoze uz upotrebu membrana Alfa Laval-RO98pHt i istražiti utjecaj procesnih parametara tlaka i temperature na kakvoću soka pri tlakovima od 50 i 55 bara, s primjenomi bez primjene hlađenja. Koncentriranje se provodilo na laboratorijskom uređaju za reverznu osmozu LabUnit M20 s pločama i okvirima,primjenom kompozitnih membrana tipa Alfa Laval-RO98pHt. Uzorci permeata i retentata uzimani su u određenim vremenskim intervalima, svakih 12 minuta. Pokusima se pokazalo da je sok aronije moguće koncentrirati procesom reverzne osmoze do maksimalnog udjela suhe tvari od 25,6 %. Koncentriranjem soka aronije RO ne dolazi do značajnih promjena kemijskog sastava soka. Tijekom koncentriranja soka aronije reverznom osmozom dolazi do zagrijavanja soka aronije, od početnih 10 °C na temperaturu oko 46 °C u procesu bez primjene hlađenja, odnosno na 25 °C u procesu s primjenom hlađenja.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
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 score0.009
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
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 head0.012
GPT teacher head0.291
Teacher spread0.279 · 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.

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

Citations0
Published2014
Admission routes1
Has abstractyes

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