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Record W2050016947 · doi:10.5539/jfr.v4n2p87

Continuation of Reversed-Phase HPLC Analysis Studies of Steviol Glycosides Isolated From Stevia rebaudiana Bertoni

2015· article· en· W2050016947 on OpenAlexvenueno aff
Srinivasarao Meneni, Venkata Sai Prakash Chaturvedula

Bibliographic record

VenueJournal of Food Research · 2015
Typearticle
Languageen
FieldNursing
TopicBiochemical Analysis and Sensing Techniques
Canadian institutionsnot available
Fundersnot available
KeywordsRebaudioside AStevia rebaudianaSteviosideSteviolGlycosideHigh-performance liquid chromatographyChromatographyChemistrySteviaFood scienceStereochemistryMedicine

Abstract

fetched live from OpenAlex

<p>Additional High Performance Liquid Chromatography (HPLC) studies were performed on the nine sweet steviol glycosides reported in Joint Expert Committee on Food Additives (JECFA) namely rebaudioside A, steviolbioside, stevioside, rubusoside, rebaudioside B, rebaudioside C, rebaudioside D, rebaudioside F, and dulcoside A isolated from the leaves of <em>Stevia rebaudiana</em>. Using Reversed-Phase (RP) HPLC method, individual retention times and area for nine naturally occurring <em>ent</em>-kaurane diterpene glycosides of <em>S. rebaudiana</em> have been determined at five different temperatures: 40, 45, 50, 55, and 60 ºC at three different pH 2.4, 2.6, and 2.8. HPLC results suggested that temperatures 50 and 55 ºC at pH 2.4 would be ideal condition for better separation of steviol glycosides.</p>

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)0.003
metaresearch head score (Gemma)0.003
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 score0.048
Threshold uncertainty score0.409

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.254
GPT teacher head0.475
Teacher spread0.221 · 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.

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

Citations2
Published2015
Admission routes1
Has abstractyes

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