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Sjaak Slanina

Researcher at Peking University

Publications -  8
Citations -  914

Sjaak Slanina is an academic researcher from Peking University. The author has contributed to research in topics: Beijing & Levoglucosan. The author has an hindex of 6, co-authored 8 publications receiving 821 citations.

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Source apportionment of PM2.5 in Beijing by positive matrix factorization

TL;DR: In this article, positive matrix factorization (PMF) was used to apportion sources of PM2.5, and eight sources were identified: biomass burning (11%), secondary sulfates (17%), secondary nitrates (14%), coal combustion (19%), industry (6%), motor vehicles (6), road dust (9%), and yellow dust.
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Chemical compositions of fine particulate organic matter emitted from Chinese cooking.

TL;DR: The pattern of n-alkanes and the presence of beta-sitosterol and levoglucosan indicate that vegetables are consumed during Chinese cooking operations, and the emissions of different compounds are impacted significantly by the cooking ingredients.
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Instrument development and application in studies and monitoring of ambient ammonia

TL;DR: In this article, the authors presented a policy evaluation study on the effects of reducing ammonia emissions on the air quality and showed that the measures to reduce ammonia emissions were not as successful as projected beforehand by statistical studies.
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Size distribution and source analysis of ionic compositions of aerosols in polluted periods at Xinken in Pearl River Delta (PRD) of China

TL;DR: In this article, size-resolved chemical composition of aerosol was investigated during the PRIDE intensive field campaign in October 2004 at Xinken, at Pearl River Delta (PRD), China.
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The molecular distribution of fine particulate organic matter emitted from Western-style fast food cooking

TL;DR: In this article, the chemical composition of POM emitted from Western-style fast food cooking was investigated, and a total of six PM2.5 samples was collected from a commercial restaurant and determined by gas chromatography-mass spectrometry (GC-MS).