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Record W2742609448 · doi:10.2527/asasann.2017.648

648 Validation of micro-encapsulation method to protect probiotics and feed enzyme from rumen degradation

2017· article· en· W2742609448 on OpenAlexaff
Yizhao Shen, Peixin Jiao, Hongrong Wang, L. Chen, Nicola Walker, Weijuan Yang

Bibliographic record

VenueJournal of Animal Science · 2017
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicRuminant Nutrition and Digestive Physiology
Canadian institutionsUniversity of AlbertaAgriculture and Agri-Food Canada
Fundersnot available
KeywordsRumenHomogenizerYeastFood scienceChemistryDigestion (alchemy)ChromatographyEmulsionBiochemistryFermentation

Abstract

fetched live from OpenAlex

We hypothesize that supplementation of live yeast or feed enzyme (FE) may improve intestinal digestion and gut health, but with ruminants, the challenge is to deliver additive with high activity post-ruminally due to the highly proteolytic environment of the rumen. The objective of this study was to develop a micro-encapsulation method by measuring ruminal stability of encapsulated yeast and FE, and its release in the intestine. Live yeast and liquid FE were encapsulated using barley protein hordein and glutelin as capsule material. The barley protein powders were hydrated at pH 11.0 to form a 15% (w/v) solution. The pH was then adjusted to 7.0 followed by an immediate mixing with yeast or FE to form a coarse emulsion using a homogenizer. Microcapsules were then formed by passing the premixed emulsion through a microfluidizer system. The mixtures were spray-dried using a laboratory scale spray dryer. The ratio of capsule to additive was 1:1. The stability of encapsulated products in the rumen was measured as DM disappearance (DMD) in batch culture. Briefly, the encapsulated products (100 mg) were weighed into Ankom bags and placed in 100-mL serum bottles. Rumen inoculant (15 mL) from beef heifer and buffer solution (45 mL) was added to each bottle and incubated at 39°C for 0, 3, 6, 12 or 24 h. The residues in bags were digested in 1% pancreatin solution for 1 h to remove the encapsulation protection. Number of yeast colonies (cfu/g) was enumerated by spread plate method. Enzyme activity (EC 3.2.1.1) was assayed and expressed as μmol glucose equivalents/min/g FE. The DMD of encapsulated yeast were 3.1, 7.8, 9.1, 12.0 or 16.0%, and the cfu were 9.5, 2.2, 1.3, 1.1 and 0.6 (× 109), respectively, for residues after 0, 3, 6, 12, and 24 h of incubation. The DMD of encapsulated FE were 5.1, 31.4, 33.8, 40.6 or 43.6%, and the enzyme activity in residue were 41.9, 33.8, 19.7, 12.7 and 10.2 µmol/min/g, respectively, at 0, 3, 6, 12 and 24 h of incubation. The results showed that the encapsulated yeast products were stable in the rumen. Subsequently, the encapsulated yeast was released by digesting in pancreatin solution and cfu counts demonstrated over 90% survival rates. It suggests that this encapsulation technique is applicable as a novel method for delivering active yeast to the intestine. However, this technique may be not efficacy to protect liquid enzyme from rumen degradation.

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)0.001
metaresearch head score (Gemma)0.001
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 score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
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 head0.042
GPT teacher head0.301
Teacher spread0.259 · 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

Citations4
Published2017
Admission routes1
Has abstractyes

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