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

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


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{
  "DOI": "10.1039/C8FD00238J", 
  "author": [
    {
      "family": "D. Duca"
    }, 
    {
      "family": "C. Irimiea"
    }, 
    {
      "family": "A. Faccinetto"
    }, 
    {
      "family": "J. A. Noble"
    }, 
    {
      "family": "M. Vojkovic"
    }, 
    {
      "family": "Y. Carpentier"
    }, 
    {
      "family": "I. K. Ortega"
    }, 
    {
      "family": "C. Pirim"
    }, 
    {
      "family": "C. Focsa"
    }
  ], 
  "issued": {
    "date-parts": [
      [
        2019, 
        3, 
        6
      ]
    ]
  }, 
  "abstract": "<p>The intricate chemistry of the carbonaceous particle surface layer (which drives their&nbsp;reactivity, environmental and health impacts) results in complex mass spectra. In this&nbsp;respect, detailed molecular-level analysis of combustion emissions may be challenging&nbsp;even with high-resolution mass spectrometry. Building on a recently proposed&nbsp;comprehensive methodology (encompassing all stages from sampling to data&nbsp;reduction), we propose herein a comparative analysis of soot particles produced by&nbsp;three different sources: a miniCAST standard generator, a laboratory diffusion flame and&nbsp;a single cylinder internal combustion engine. The surface composition is probed by&nbsp;either laser or secondary ion mass spectrometry. Two examples of multivariate analysis,&nbsp;Principal component analysis and hierarchical clustering analysis proved their efficiency&nbsp;in both identifying general trends and evidencing subtle differences that otherwise&nbsp;would remain unnoticed in the plethora of data generated during mass spectrometric&nbsp;analyses. Chemical information extracted from these multivariate statistical procedures&nbsp;contributes to a better understanding of fundamental combustion processes and also&nbsp;opens to practical applications such as the tracing of engine emissions.</p>", 
  "title": "On the benefits of using multivariate analysis in mass spectrometric studies of combustion-generated aerosols", 
  "type": "article", 
  "id": "3453426"
}
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