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Production of Synbiotic Raspberry Jam with Inulin Content and Lactic Acid Bacteria

2024· article· en· W4414832696 on OpenAlexaff
Mahnaz Hashemi, Nazanin Zand, Sahar Nikouie Adl

Bibliographic record

VenueBiotechIntellect · 2024
Typearticle
Languageen
FieldNursing
TopicMicrobial Metabolites in Food Biotechnology
Canadian institutionsCanadian Wood Council
Fundersnot available
KeywordsInulinLactobacillus acidophilusProbioticLactic acidLactobacillus caseiBacteriaBrixSugarLactobacillus

Abstract

fetched live from OpenAlex

Inulin consists of unabsorbed fructans that increase absorption of calcium in addition to probiotic nature. pH, acidity, reducing sugars, brix and viability (survival) of probiotic bacteria in Synbiotic Raspberry jam produced by inulin content (0.5%, 1%, and 1.5%) and two bacteria of Lactobacillus (L.) casei and L. acidophilus (1.5×108 cfu/ml) have been examined during storage of treatments for four weeks. During four weeks of storage, pH level was reduced in synbiotic raspberry jam; rate of acidity was increased; and quantities of reducing sugars and brix were decreased. Due to consuming sugar and existing nutrients in fruit, number of probiotic bacteria was reduced during period of storage of treatments. The level of viability of probiotics varied within range (106 – 107 cfu/ml) for all treatments during four storage weeks. N3M1 treatment (1.5% of inulin and 108 cfu/ml L. casei) comprised of the highest viability rate in probiotics and it was introduced as premier treatment. Taste sensitivity assessment during first and fourth weeks of storage, N1M1 treatment (0.5% inulin with incubation of 108 cfu/ml of L. casei) possessed the highest score and N3M2 treatment (1.5% of inulin with incubation of 108 cfu/ml of L. acidophilus) obtained the lowest score among all of treatments.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.022
GPT teacher head0.241
Teacher spread0.218 · 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 source (direct Gemma or distilled Codex), 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

Citations1
Published2024
Admission routes1
Has abstractyes

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