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Pregled bibliografske jedinice broj: 1199684

On the benefits of using multivariate analysis in mass spectrometric studies of combustion-generated aerosols


Duca, D.; Irimiea, C.; Faccinetto, A.; Noble, J. A.; Vojkovic, M.; Carpentier, Y.; Ortega, I. K.; Pirim, C.; Focsa, C.
On the benefits of using multivariate analysis in mass spectrometric studies of combustion-generated aerosols // Faraday Discussions, 218 (2019), 115-137 doi:10.1039/c8fd00238j (međunarodna recenzija, članak, znanstveni)


CROSBI ID: 1199684 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
On the benefits of using multivariate analysis in mass spectrometric studies of combustion-generated aerosols

Autori
Duca, D. ; Irimiea, C. ; Faccinetto, A. ; Noble, J. A. ; Vojkovic, M. ; Carpentier, Y. ; Ortega, I. K. ; Pirim, C. ; Focsa, C.

Izvornik
Faraday Discussions (1359-6640) 218 (2019); 115-137

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
combustion ; soot ; particles ; multivariate analysis ; trace analysis ; environment

Sažetak
The intricate chemistry of the carbonaceous particle surface layer (which drives their reactivity, environmental and health impacts) results in complex mass spectra. In this respect, detailed molecular-level analysis of combustion emissions may be challenging even with high- resolution mass spectrometry. Building on a recently proposed comprehensive methodology (encompassing all stages from sampling to data reduction), we propose herein a comparative analysis of soot particles produced by three different sources: a miniCAST standard generator, a laboratory diffusion flame and a single cylinder internal combustion engine. The surface composition is probed by either laser or secondary ion mass spectrometry. Two examples of multivariate analysis, Principal component analysis and hierarchical clustering analysis proved their efficiency in both identifying general trends and evidencing subtle differences that otherwise would remain unnoticed in the plethora of data generated during mass spectrometric analyses. Chemical information extracted from these multivariate statistical procedures contributes to a better understanding of fundamental combustion processes and also opens to practical applications such as the tracing of engine emissions.

Izvorni jezik
Engleski

Znanstvena područja
Fizika, Kemija, Interdisciplinarne prirodne znanosti



POVEZANOST RADA


Profili:

Avatar Url Marin Vojković (autor)

Poveznice na cjeloviti tekst rada:

Pristup cjelovitom tekstu rada doi pubs.rsc.org

Citiraj ovu publikaciju:

Duca, D.; Irimiea, C.; Faccinetto, A.; Noble, J. A.; Vojkovic, M.; Carpentier, Y.; Ortega, I. K.; Pirim, C.; Focsa, C.
On the benefits of using multivariate analysis in mass spectrometric studies of combustion-generated aerosols // Faraday Discussions, 218 (2019), 115-137 doi:10.1039/c8fd00238j (međunarodna recenzija, članak, znanstveni)
Duca, D., Irimiea, C., Faccinetto, A., Noble, J., Vojkovic, M., Carpentier, Y., Ortega, I., Pirim, C. & Focsa, C. (2019) On the benefits of using multivariate analysis in mass spectrometric studies of combustion-generated aerosols. Faraday Discussions, 218, 115-137 doi:10.1039/c8fd00238j.
@article{article, author = {Duca, D. and Irimiea, C. and Faccinetto, A. and Noble, J. A. and Vojkovic, M. and Carpentier, Y. and Ortega, I. K. and Pirim, C. and Focsa, C.}, year = {2019}, pages = {115-137}, DOI = {10.1039/c8fd00238j}, keywords = {combustion, soot, particles, multivariate analysis, trace analysis, environment}, journal = {Faraday Discussions}, doi = {10.1039/c8fd00238j}, volume = {218}, issn = {1359-6640}, title = {On the benefits of using multivariate analysis in mass spectrometric studies of combustion-generated aerosols}, keyword = {combustion, soot, particles, multivariate analysis, trace analysis, environment} }
@article{article, author = {Duca, D. and Irimiea, C. and Faccinetto, A. and Noble, J. A. and Vojkovic, M. and Carpentier, Y. and Ortega, I. K. and Pirim, C. and Focsa, C.}, year = {2019}, pages = {115-137}, DOI = {10.1039/c8fd00238j}, keywords = {combustion, soot, particles, multivariate analysis, trace analysis, environment}, journal = {Faraday Discussions}, doi = {10.1039/c8fd00238j}, volume = {218}, issn = {1359-6640}, title = {On the benefits of using multivariate analysis in mass spectrometric studies of combustion-generated aerosols}, keyword = {combustion, soot, particles, multivariate analysis, trace analysis, environment} }

Časopis indeksira:


  • Current Contents Connect (CCC)
  • Web of Science Core Collection (WoSCC)
    • Science Citation Index Expanded (SCI-EXP)
    • SCI-EXP, SSCI i/ili A&HCI
  • Scopus
  • MEDLINE


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