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Record W6898847601 · doi:10.57912/23868681

Analysis of the major constituents in St. John's Wort and Ephedra

2023· dissertation· en· W6898847601 on OpenAlexaboutno aff

Bibliographic record

VenueAmerican University Research Archive · 2023
Typedissertation
Languageen
FieldMedicine
TopicPharmacology and Obesity Treatment
Canadian institutionsnot available
Fundersnot available
KeywordsEphedrinePseudoephedrineAdulterantHyperforinHypericinAnalyteHerbal supplementDietary supplement

Abstract

fetched live from OpenAlex

The Dietary Supplement Health and Education Act of 1994 established a formal definition of a "dietary supplement" using several criteria. Dietary supplements are products made of one or more nutrients, such as vitamins, minerals and proteins. They are intended to supplement the diet. Today many consumers use supplements without evaluating the product or considering the potential side effects. The supplement industry has increased sales into the billion of dollars in the last ten years. Liquid chromatography with ultra violet/visible, fluorescence, and mass spectrometry detection were used to measure the potentially active constituents in St. John's Wort. Additionally, measurements were carried out with spectrophotometry at 590 nm. St. John's Wort is used by consumers who have mild to moderate depression. Many clinical studies have been performed in the United States and abroad and the results are not conclusive. Four analytes are considered to possess pharmacological activity: the naphthodianthrones pseudohypericin and hypericin and the phloroglucinols hyperforin and adhyperforin. This project concentrated on measuring the naphthodianthrones because label claims are based on the level of total dianthrones and not phloroglucinols. Additionally, six alkaloids in Ephedra containing Ma Huang SRM samples were measured using liquid chromatography with two modes of detection: ultraviolet and mass spectrometry. Ephedra has six analytes which possess pharmacological activity: norephedrine and norpseudoephedrine, pseudoephedrine and ephedrine and methylephedrine and methylpseudoephedrine. Norpseudoephedrine is regulated by Drug Enforcement Agency, which is a precursor to elicit drugs. Many of the products containing Ephedra analytes are diet products and substances used to boost energy levels. The levels of the analytes vary significantly from product to product and can have severe or even deadly consequences if taken. Much research is needed for the analysis of dietary supplements. Initial studies should be performed on the plant material at various times of the year to assess the levels of potentially active analytes. Also, extraction studies are important to obtain the best method for maximum recovery of the analytes of interest. It is possible that the extraction technique could vary from plant source to finished product and an alternative technique may be needed.

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 score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.024
GPT teacher head0.359
Teacher spread0.335 · 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

Citations0
Published2023
Admission routes1
Has abstractyes

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