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Record W4404198522 · doi:10.1108/nfs-06-2024-0195

Impact of fruit powders incorporation on probiotic viability and sensory properties of yogurt

2024· article· en· W4404198522 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

VenueNutrition & Food Science · 2024
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicProbiotics and Fermented Foods
Canadian institutionsLondon Health Sciences CentreWestern University
Fundersnot available
KeywordsFood scienceProbioticSensory systemChemistryBiologyBacteria

Abstract

fetched live from OpenAlex

Purpose The primary objective of this study was to investigate the viability of Lacticaseibacillus rhamnosus GR-1 (LGR-1) when combined with four prebiotic-rich fruit powders – apple, papaya, mango, and red beetroot – in probiotic yogurt. Additionally, the study aims to assess customer acceptability of the yogurt fortified with these fruit powders through a sensory evaluation using a nine-point hedonic scale. Design/methodology/approach The yogurt samples, inoculated with the LGR-1 probiotic strain, underwent fermentation at 38 °C for 0, 2, 4 and 6 h. Following fermentation, the samples were stored in a refrigerator at 4 °C for 1, 15 and 30 days. Throughout the study, microbial counts and pH level measurements were performed to assess the viability of LGR-1. A sensory evaluation consisted of 89 participants. A nine-point hedonic scale, ranging from 1 (dislike extremely) to 9 (like extremely), along with a questionnaire were used to assess criteria such as appearance, flavor, texture and overall acceptability of the samples. Findings All treatments at all time points maintained a minimum viable microbial count of 10 7 CFU/mL (colony-forming units per mL), which indicated that the addition of fruit powders supported the growth and survival of LGR-1 in yogurt. Treatment 5, fortified with papaya powder, was the only group that exhibited a significant change of microbial count after 30 days of fermentation ( p = 0.018). Although there were no statistically significant differences in pH values at the 0- and 2-h time points within each treatment, the pH remained relatively stable after day 15, with an average mean pH of 4.29. Treatment 2 fortified with mango powder obtained the highest overall acceptability score because of its smooth and firm texture as well as mild mango-sweet flavor. Originality/value This study explored the viability of probiotics and the sensory properties of yogurt fortified with various fruit powders, while also examining the potential prebiotic effects of fruit powders in enhancing overall sensory appeal. The findings suggested that papain may play a role in increasing probiotic viability in yogurt. Given the inconvenience and inaccessibility of fresh fruits and the generally inadequate prebiotic intake, this research addressed the gap in prebiotic consumption by offering novel ideas for health-enhancing dairy products.

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 score0.134
Threshold uncertainty score0.175

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 integrity0.0000.000
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 head0.041
GPT teacher head0.252
Teacher spread0.211 · 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