Pubblicazioni

Autori:

Dell’Anna R.; Lazzeri P.; Frisanco M. ; Monti F. ;Malvezzi Campeggi F. ; Gottardini E. ;Bersani M.

Titolo:

Pollen discrimination and classification by Fourier Transform Infrared (FT-IR) microspectroscopy and machine learning

Anno:

2009

Tipologia prodotto:

Articolo in Rivista

Tipologia ANVUR:

Articolo su rivista

Lingua:

Inglese

Formato:

A Stampa

Referee:

Sì

Nome rivista:

Analytical and Bioanalytical Chemistry

ISSN Rivista:

1618-2642

N° Volume:

394

Numero o Fascicolo:

5

Editore:

Springer Verlag

Intervallo pagine:

1443-1452

Parole chiave:

FT-IR microspectroscopy - Allergic pollen - Supervised and unsupervised learning methods - Aerobiological monitoring networks

Breve descrizione dei contenuti:

The discrimination and classification of allergy-relevant pollen was studied for the first time by mid-infrared Fourier transform infrared (FT-IR) microspectroscopy together with unsupervised and supervised multivariate statistical methods. Pollen samples of 11 different taxa were collected, whose outdoor air concentration during the flowering time is typically measured by aerobiological monitoring networks. Unsupervised hierarchical cluster analysis provided valuable information about the reproducibility of FT-IR spectra of the same taxon acquired either from one pollen grain in a 25 x 25 microm2 area or from a group of grains inside a 100 x 100 microm2 area. As regards the supervised learning method, best results were achieved using a K nearest neighbors classifier and the leave-one-out cross-validation procedure on the dataset composed of single pollen grain spectra (overall accuracy 84%). FT-IR microspectroscopy is therefore a reliable method for discrimination and classification of allergenic pollen. The limits of its practical application to the monitoring performed in the aerobiological stations were also discussed.

Id prodotto:

53013

Handle IRIS:

11562/338127

depositato il:

21 marzo 2012

ultima modifica:

18 maggio 2021

Citazione bibliografica:

Dell’Anna R.; Lazzeri P.; Frisanco M. ; Monti F. ;Malvezzi Campeggi F. ; Gottardini E. ;Bersani M., Pollen discrimination and classification by Fourier Transform Infrared (FT-IR) microspectroscopy and machine learning «Analytical and Bioanalytical Chemistry» , vol. 394 , n. 5 , 2009 , pp. 1443-1452

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