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Record W1973100589 · doi:10.1002/clen.200800104

New Attempt to Reduce the Harm of Smoking: Reducing the Nitrosamines Level in Tobacco Smoke by Microwave Irradiation

2008· article· en· W1973100589 on OpenAlexaff
Ling Gao, Ying Wang, Jia Xu, Yang Xu, Yi Cao, Zhi Yu Yun, Chao Hong, Jian Zhu

Bibliographic record

VenueCLEAN - Soil Air Water · 2008
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicPolyamine Metabolism and Applications
Canadian institutionsMinistry of Education and Child Care
Fundersnot available
KeywordsMicrowaveIrradiationTobacco smokeMicrowave irradiationCigarette smokeSmokeSidestream smokeChemistryMaterials scienceToxicologyOrganic chemistryBiology

Abstract

fetched live from OpenAlex

Abstract In order to protect the environment and public health, microwave irradiation was investigated as a means of reducing the nitrosamines level of tobacco smoke under mild conditions where the microwave energy was 1 kW and the irradiation time was shorter than 2 min. The microwave‐induced elimination of nitrosamines such as N ‐nitrosopyrrolidine (NPYR) and N ‐nitrosodiphenylamine (NDPA) was investigated and the impact of the presence of water and salt in the medium on the reduction was assessed in detail. The existence of water in the medium was crucial for the microwave‐induced reduction of NDPA, because the rapid movement of water molecules under the influence of microwaves strongly affects the adjacent nitrosamines leading to their decomposition. This was the first time that microwaves have been used to directly irradiate cigarettes sealed in their packaging, and the nitrosamines content of tobacco and smoke of these irradiated cigarettes were analyzed with care. Irradiation for 90 s with microwave energy of 1kW was seen to reduce 25 to 30% of the nitrosamines in tobacco and 50 to 60% of the levels present in the mainstream smoke of the cigarette. Moreover, lower mutagenic activity and higher CHO cell livability were found for the irradiated cigarettes in comparison with the control according to the results of in vitro tests.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.063
Threshold uncertainty score0.298

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 communication0.0000.000
Open science0.0000.000
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 head0.030
GPT teacher head0.260
Teacher spread0.230 · 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

Citations6
Published2008
Admission routes1
Has abstractyes

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