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Record W6921749023 · doi:10.7939/r3-3ghx-5515

From the Pre-critical Nucleus to Atmospheric Aerosol Particles: Insights from Rotational Spectroscopic, Computational, and Aerosol Characterization Studies

2024· dissertation· en· W6921749023 on OpenAlexaboutno aff

Bibliographic record

VenueUniversity of Alberta Library · 2024
Typedissertation
Languageen
FieldEarth and Planetary Sciences
TopicAtmospheric chemistry and aerosols
Canadian institutionsnot available
Fundersnot available
KeywordsAerosolNucleationSulfuric acidParticle (ecology)Characterization (materials science)Intermolecular forceParticulatesIce nucleusDispersion (optics)

Abstract

fetched live from OpenAlex

Over the past several years in Alberta, the frequency and severity of wildfires has increased and resulted in the loss of lives, destruction of housing, and devastation of large forest areas. A byproduct of these fires are toxic emissions that contain primary aerosols and volatile organic compounds that can lead to the formation of secondary organic aerosols. Atmospheric aerosols are colloidal suspensions of liquid or solid particles in the atmosphere, which can have severe impacts on both human health and climate. The process of secondary organic aerosol formation involves the initial release of volatile organic compounds and their subsequent oxidation by atmospheric species, such as, for example, OH radical, to produce more oxygen-rich compounds of lower volatility. These semi-volatile compounds can the agglomerate, i.e., partition from the gas to the particle phase, and form aerosol particles. General aspects of this nucleation process, such as the participation of organic acids, water, sulfuric acid, and ammonia, the formation of a critical nucleus after which particle growth is spontaneous, and the involvement of hydrogenbonding and dispersion interactions, are known. Specific information about the formation of the initial clusters and complexes, such as the effect of conformational flexibility on the strength and the number of intermolecular interactions, is still not complete. To study the early stages of nucleation of semi-volatile organic compounds with water or themselves, I utilize jet-cooled Fourier transform microwave spectroscopy and quantum chemical calculations. This combination allows for a detailed analysis of the intra- and intermolecular noncovalent interactions that stabilize specific conformers. My studies have shown that the cis-conformation of the carboxylic acid in para-aminobenzoic acid, paranitrobenzoic acid, para-chlorobenzoic acid, para-hydroxybenzoic acid, and vanillic acid is the lowest energy conformer. Additionally, I found that functional groups in the para-position of benzoic acid can affect the structure of the acid group, depending on their ability to donate or withdraw electron density. ortho-functional groups may play an indirect role in cluster formation through intramolecular interactions that limit their ability to act as inter-molecular hydrogen bond donor and acceptor, as demonstrated for the case of vanillic acid monohydrate. As a proxy for large semi-volatile organic compounds, benzyl benzoate, an ester with terminal benzyl and phenol groups, was studied. In this molecule, CH···O hydrogen bonding plays a significant role in determining its structural preference in the monomer, while in the dimer, π-π stacking structural motifs are central. Polyvinylchloride, PVC, is an important building material and co-combusts with biomass, such as wood, in house fires. PVC combustion leads to emission of hydrogen chloride and atmospheric aerosol particles, a mixture that becomes more complex in biomass cocombustion scenarios. To gain a better understanding of the influence of PVC on emissions from wildfires, I conducted laboratory based PVC pyrolysis experiments. The resulting hydrogen chloride emissions, aerosol particle size distribution, and aerosol particle optical properties were studied using a range of aerosol characterization instruments and analytical tools. A 61% mass loss was observed after 40 minutes of PVC pyrolysis at 350°C, with an average of 25% of those emissions being gaseous hydrogen chloride. The emitted aerosol particles are predominantly composed of organic compounds that form concentration-dependent agglomerates. These particles have a maximum in the size distribution of approximately 150 nm, falling within the accumulation mode of biomass burning-derived aerosol particles. Additionally, I found that the aerosol particles emitted from PVC pyrolysis have a wavelength-dependent absorption with an absorption Ångstrom coefficient (AAC) between 5.8 and 6.1. That means that these particles that contain semi-volatile organic compounds preferentially absorb at lower wavelengths compared to soot particles.

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.059
Threshold uncertainty score0.117

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.009
GPT teacher head0.206
Teacher spread0.197 · 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 designSimulation or modeling
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
Published2024
Admission routes1
Has abstractyes

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Same venueUniversity of Alberta LibrarySame topicAtmospheric chemistry and aerosolsFrench-language works237,207