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Record W2782573089 · doi:10.1515/cttr-2017-0020

Determination of Mercury in Aerosol by Inductively Coupled Plasma Mass Spectrometry

2017· article· en· W2782573089 on OpenAlexaboutno aff
Iris Hofer, Maude Gremaud, Audrey Marchese, Soazig Le Bouhellec

Bibliographic record

VenueBeiträge zur Tabakforschung international · 2017
Typearticle
Languageen
FieldEnvironmental Science
TopicMercury impact and mitigation studies
Canadian institutionsnot available
Fundersnot available
KeywordsMercury (programming language)ChemistryAerosolParticulatesInductively coupled plasma mass spectrometryNitric acidMass spectrometryAnalytical Chemistry (journal)Environmental chemistrySample preparationChromatographyInorganic chemistry

Abstract

fetched live from OpenAlex

Summary Based on the knowledge gained from published studies, a new analytical method has been developed for the quantification of mercury (Hg) in the gas-vapor phase of mainstream cigarette smoke and in heated tobacco aerosol generated by a tobacco heating system (THS) using Inductively Coupled Plasma Mass Spectrometry (ICP-MS). From a preliminary test, the mercury concentration in the particulate matter of mainstream smoke from Kentucky reference cigarettes 3R4F generated under the International Organization for Standardization (ISO) smoking regimen was compared with the mercury concentration in the gasvapor phase to assure that mercury is only measurable in the gas-vapor phase, as reported in an earlier published study. The particulate matter was collected using an electrostatic precipitation trap and was analyzed by ICP-MS after a mineralization step. The gas-vapor phase was trapped in the same smoking run as for the particulate matter using two impingers containing a nitric acid-hydrochloric acid-gold solution. The impingers were connected in series behind the electrostatic precipitation trap and the combined impinger solution was analyzed by ICP-MS after sample dilution without further sample treatment. The addition of gold has shown to be efficient for maintaining mercury in an ionized form in the impinger solution and to minimize the mercury memory effect in the sample introduction system of the ICP-MS. Only mercury in the gas-vapor phase could be quantified whereas the signal for mercury in the particulate matter was found close to those of blank solutions and was not measurable, as already mentioned in an earlier study. Following this preliminary test, the electrostatic precipitation trap was replaced by a Cambridge filter pad for the separation of the gas-vapor phase from the particulate matter where only mercury in the gas-vapor phase was quantified. The method for the quantification of mercury in the gas-vapor phase of aerosols obtained under Health Canada (HC) and ISO smoking regimens was validated according to International Conference on Harmonisation of Technical Requirements for Registration of Pharmaceuticals for Human Use (ICH) and Association of Official Analytical Chemists (AOAC) guidelines. Accuracy profiles were evaluated as described in Association Française de Normalisation (AFNOR). The regression curve was shown to be linear within the evaluated concentration range from 25 pg/mL to 1000 pg/mL with a weighting factor 1/x. The coefficients of variation for repeatability (r) were 3.6% for 3R4F and 4.8% for THS under HC smoking regimen and 3.6% for 3R4F and 4.6% for THS under ISO smoking regimen. The coefficients of variation for intermediate precision (IP) were 7.7% for 3R4F and 7.7% for THS under HC smoking regimen and 4.7% for 3R4F and 4.6% for THS under ISO smoking regimen. The nominal mercury concentrations for 3R4F obtained during the validation under both HC and ISO smoking regimens were found to be in line with results reported in a previously published CORESTA study.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.310
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.019
GPT teacher head0.285
Teacher spread0.267 · 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.

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

Citations4
Published2017
Admission routes1
Has abstractyes

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