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Record W2793625752

Phytochemical analysis of boreal forest flora of Northwestern Ontario, Canada

2017· dissertation· en· W2793625752 on OpenAlexaboutno aff
Jazmin Charmaine Mayryka Julia Romaniuk

Bibliographic record

VenueKnowledge Commons (Lakehead University) · 2017
Typedissertation
Languageen
FieldAgricultural and Biological Sciences
TopicBotany, Ecology, and Taxonomy Studies
Canadian institutionsnot available
Fundersnot available
KeywordsPhytochemicalFlora (microbiology)TaigaGeographyBorealForestryEcologyBiologyBotany
DOInot available

Abstract

fetched live from OpenAlex

The following research document has been written in the format of a thesis by publication. As such, there is an introductory and concluding chapter to provide addition information and context to the scope of the study, though the major research is contained in the three chapters (chapters 2-4). Each chapter focusses on the phytochemical analysis of one of three flora species selected from the Boreal forest habitat of Northwestern Ontario, Canada. Each of the chapters are prepared as manuscripts and contain an introduction, method, results, discussion, and conclusion, also including references that pertain to each individual chapter. The original research is in the process of being submitted for publication in peer reviewed journals. The three species that were chosen for this study were the Sweet flag (Acorus calamus var. americanus (Raf.) H. Wulff), Sweet gale (Myrica gale L.) and Wild ginger (Asarum canadense L.). These are aromatic plants and each of these plants contain and release volatile aromatic compounds that are detectable by human olfactory senses. Many of the aromatic and compounds found in these plants have known bioactive properties. Testing using Gas Chromatography coupled Mass Spectrometry (GCMS) was conducted to identify and report on the phytochemical constituents present in the selected flora species. Phytochemical constituents can aid in the chemotaxonomic placement of flora species within its taxonomic placement, such as the determination of species sub-variety (ie. the Acorus variation, americanus). As well, phytochemical analysis can also identify compounds of bioactive interest, which includes medicinal properties, such as with the aromatic compound limonene and its sought-after anxiolytic-like properties (Lima et al., 2013). The introduction establishes the background geographical and botanical characteristics of the plants analysed. The analysis of Acorus calamus var. americanus (Raf.) H. Wulff by GCMS, in this research, characterises much of the phytochemicals and confirms the absence of ?-asarone, a bioactive compound found in the European species, Acorus calamus L. Sweet gale, Myrica gale L., has previously been reported to have different chemical composition relative to its geographical location, making chemotaxonomic identification of species challenging. However, it does provide support for the chemotaxonomic classification of Sweet gale into various geographically defined varieties, enabling determination of the geographic origins of plants identified. The phytochemical analysis has never been performed for Sweet gale found in Northwestern, Ontario for this chemotaxonomic geographical characterisation. The analysis of the Asarum canadense L., Wild ginger, has confirmed the absence of compounds (like ?-asarone) that have been found in other related species and identified compounds pertinent for its medicinal use in Northwestern Ontario, Canada. The phytochemical analysis has also provided a geographically relevant chemotaxonomic characterisation for the region. The results of these analyses provide the opportunity for chemotaxonomic geographic identification of three of the Northwestern Ontario plant species that have research interest elsewhere in the world.

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)0.000
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.234
Threshold uncertainty score0.612

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.027
GPT teacher head0.219
Teacher spread0.192 · 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 designObservational
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
Published2017
Admission routes1
Has abstractyes

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