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Record W2054949108 · doi:10.2323/jgam.54.237

The growth and recovery of an exopolysaccharide-producing Lactobacillus rhamnosus culture on growth media containing apple juice or molasses

2008· article· en· W2054949108 on OpenAlexaff
Claude P. Champagne, Nancy Gardner

Bibliographic record

VenueThe Journal of General and Applied Microbiology · 2008
Typearticle
Languageen
FieldNursing
TopicMicrobial Metabolites in Food Biotechnology
Canadian institutionsAgriculture and Agri-Food Canada
Fundersnot available
KeywordsLactobacillus rhamnosusFood scienceLactobacillusLactobacillaceaeBacterial growthMicrobiologyChemistryBacteriaBiologyFermentation

Abstract

fetched live from OpenAlex

CommunicationProbiotics can be defined as "Live microorganisms which, when administered in adequate amounts, confer a health benefit on the host" (Araya et al., 2002).Of the various lactobacilli being used as probiotics, Lactobacillus acidophilus has been the most widely studied (Champagne et al., 2005).Less is known, however, on the production and use of Lactobacillus rhamnosus in foods, even though some strains, particularly GG and R0011, have been shown to be valuable probiotics (Ouwehand et al., 2003).Strain L. rhamnosus RW-9595M is a very high exopolysaccharide (EPS) producer (Macedo et al., 2002) which is of interest to the food industry because of beneficial effects on texture and yields (Broadbent et al., 2001;De Vuyst et al., 2001) as well as for potential EPS-linked health benefits (Ruas-Madiedo et al., 2002).Additionally, the RW-9595M strain used in this study shows potential for the enhancement of the immune system (Chabot et al., 2001).Culture manufacturers must propagate the strains in appropriate media, recover the cells and freeze or dry them.Commercial media such as Lactobacilli MRS are expensive to use at the industrial scale (Garcia et al., 2006).Furthermore some consumers ask for products that do not contain meat or dairy ingredients as well as have Kosher certification.In response to these demands, producers of probiotic cultures are constantly challenged to develop novel growth media, particularly fruit or vegetable-based.In this study, we examined apple juice and molasses for this purpose and if it is possible to recover this EPS-producing culture by centrifugation.Culture and media: Lactobacillus rhamnosus RW-9595M was obtained from the Agriculture and Agri-Food Canadaʼs Food R & D Centre.Cultures were prepared as described by Champagne et al. (2007).For the screening of growth media, three commercial substrates were used: molasses (65% total solids; Gramma, St-John, NB, Canada), apple juice concentrate (40% total solids; McCain, Florenceville, NB, Canada), and Lactobacilli MRS medium (Difco; Becton Dickinson, Sparks, MD, USA).Bakerʼs yeast extracts (YE) were FNI-100 (Lallemand, Montréal, QC, Canada) and Difco (Becton-Dickinson), while FNI-200 (Lallemand) was a brewerʼs YE.Three peptones from Organotechnie (La Courneuve, France) were also assayed: N1 tryptone, E1 wheat and A3 soy peptone. 1)

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)0.001
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 score0.003
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.016
GPT teacher head0.231
Teacher spread0.215 · 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

Citations10
Published2008
Admission routes1
Has abstractno

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