Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Matteo Reggente"'
Autor:
Bart Elen, Jan Peters, Martine Van Poppel, Nico Bleux, Jan Theunis, Matteo Reggente, Arnout Standaert
Publikováno v:
Sensors, Vol 13, Iss 1, Pp 221-240 (2012)
Fixed air quality stations have limitations when used to assess people's real life exposure to air pollutants. Their spatial coverage is too limited to capture the spatial variability in, e.g., an urban or industrial environment. Complementary mobile
Externí odkaz:
https://doaj.org/article/9da6e83378c04769a513bfe7790a0422
Autor:
Matteo Reggente, Alexandra J. Boris, Satoshi Takahama, Martin Esparza-Sanchez, Eric S. Edgerton, Bruno Debus, Carley D. Fredrickson, Stephanie L. Shaw, Ann M. Dillner, Andrew T. Weakley, Charlotte Burki
Publikováno v:
Atmospheric Measurement Techniques, Vol 12, Pp 5391-5415 (2019)
Comprehensive techniques to describe the organic composition of atmospheric aerosol are needed to elucidate pollution sources, gain insights into atmospheric chemistry, and evaluate changes in air quality. Fourier transform infrared absorption (FT-IR
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f7352c557aa604505b327f91799f909a
https://www.atmos-meas-tech.net/12/5391/2019/amt-12-5391-2019.pdf
https://www.atmos-meas-tech.net/12/5391/2019/amt-12-5391-2019.pdf
Publikováno v:
Atmospheric Measurement Techniques, Vol 12, Pp 2313-2329 (2019)
AIRSpec is a platform consisting of several chemometric packages developed for analysis of Fourier transform infrared (FTIR) spectra of atmospheric aerosols. The packages are accessible through a browser-based interface, which also generates the nece
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4d7ffd08a8a50a906a218547acfcf63c
https://doi.org/10.5194/amt-12-2313-2019
https://doi.org/10.5194/amt-12-2313-2019
Autor:
Matteo Reggente, Christoph Hüglin, Amir Yazdani, Satoshi Takahama, Athanasios Nenes, Claudia Zellweger-Fasi, Andrea M. Arangio
Atmospheric particulate matter (PM) is composed of up to 90% of organic matter [1]. Chemical characterization of PM organic fraction can be achieved by transmission mode Fourier transform infrared spectroscopy (TM-FTIR). FTIR is fast and inexpensive
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bbf39644145f8a7d9984cf901b7bca2e
https://doi.org/10.5194/egusphere-egu21-7625
https://doi.org/10.5194/egusphere-egu21-7625
Autor:
Ann M. Dillner, Stephanie L. Shaw, Satoshi Takahama, Matteo Reggente, Charlotte Burki, Jenny L. Hand
Publikováno v:
Atmospheric Measurement Techniques, Vol 13, Pp 1517-1538 (2020)
The Fourier transform infrared (FTIR) spectra of fine particulate matter (PM2.5) contain many important absorption bands relevant for characterizing organic matter (OM) and obtaining organic matter to organic carbon (OM/OC) ratios. However, extractin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::abc27d1f150cd5f02135abd9f7e7533e
https://www.atmos-meas-tech.net/13/1517/2020/
https://www.atmos-meas-tech.net/13/1517/2020/
Autor:
Alexandra J. Boris, Satoshi Takahama, Andrew T. Weakley, Bruno M. Debus, Carley D. Fredrickson, Martin Esparza-Sanchez, Charlotte Burki, Matteo Reggente, Stephanie L. Shaw, Eric S. Edgerton, Ann M. Dillner
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::88afeac9569149a72810caf2052dfb52
https://doi.org/10.5194/amt-2019-144-supplement
https://doi.org/10.5194/amt-2019-144-supplement
Publikováno v:
Atmospheric Measurement Techniques, Vol 9, Iss 2, Pp 441-454 (2016)
Organic carbon (OC) and elemental carbon (EC) are major components of atmospheric particulate matter (PM), which has been associated with increased morbidity and mortality, climate change, and reduced visibility. Typically OC and EC concentrations ar
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::10eca58082e2b7e15c11b992df7b5a3e
http://www.atmos-meas-tech.net/9/441/2016/amt-9-441-2016.pdf
http://www.atmos-meas-tech.net/9/441/2016/amt-9-441-2016.pdf
Peak-fitting (PF) and partial least squares (PLS) regression have been independently developed for estimation of functional groups (FGs) from Fourier Transform Infrared (FTIR) spectra of ambient aerosol collected on Teflon filters. PF is a model that
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9c5c3122d609b46b4f612f6b1dc7912d
https://doi.org/10.5194/amt-2018-331
https://doi.org/10.5194/amt-2018-331