RT Journal Article
T1 Learning Principal Component Analysis by Using Data from Air Quality Networks
A1 Pérez Arribas, Luis Vicente
A1 León González, María Eugenia De
A1 Rosales Conrado, Noelia
AB With the final objective of using computational and chemometrics tools in the chemistry studies, this paper shows the methodology and interpretation of the Principal Component Analysis (PCA) using pollution data from different cities. This paper describes how students can obtain data on air quality and process such data for additional information related to the pollution sources, climate effects, and social aspects over pollution levels by using a powerful chemometrics tool such as principal component analysis (PCA). The paper could also be useful for students interested in environmental chemistry and pollution interpretation; this statistical method is a simple way to display visually as much as possible of the total variation of the data in a few dimensions, and it is an excellent tool for looking into the normal pollution patterns.
PB ACS
SN 0021-9584
YR 2017
FD 2017-01
LK https://hdl.handle.net/20.500.14352/17658
UL https://hdl.handle.net/20.500.14352/17658
LA eng
NO (1) Miller, J. N.; Miller, J. C. Statistic and Chemometrics for analyticalChemistry, 6th ed.; Prentice Hall: London, UK, 2011.(2) Kellner, R.; Mermet, J. M.; Otto, M.; Varcálcel, M.; Widmer, H.M. Analytical Chemistry: A Modern Approach to Analytical Science, 2nded.; Wiley-VCH: Weinheim, Germany, 2004.(3) Otto, M. Chemometrics: Statistics and Computer Application inAnalytical Chemistry, 2nd ed.; Wiley-VCH: Weinheim, Germany, 2007.(4) De Lorenzi Pezzolo, A. To see the World in a grain of sand:Recognizing the origin of sand specimens by diffuse reflectanceinfrared Fourier transform spectroscopy and multivariate exploratorydata analysis. J. Chem. Educ. 2011, 88, 1304−1308.(5) Reinholds, I.; Bartkevics, V.; Silvis, I. C.J.; van Ruth, S. M.;Esslinger, S. Analytical techniques combined with chemometrics forauthentication and determination of contaminants in condiments: Areview. J. Food Compos. Anal. 2015, 44, 56−72.(6) Mostert, M. M. R.; Ayoko, G. A.; Kokot, S. Application ofchemometrics to analysis of soil pollutants. TrAC, Trends Anal. Chem.2010, 29 (5), 430−445.(7) Madsen, R.; Lundstedt, T.; Trygg, J. Chemometrics inmetabolomics-A review in human disease diagnosis. Anal. Chim. Acta2010, 659 (1−2), 23−33.(8) Saurina, J. Characterization of wines using compositional profilesand chemometrics. TrAC, Trends Anal. Chem. 2010, 29 (3), 234−245.(9) Guillén-Casla, V.; Rosales-Conrado, N.; León-González, M. E.;Pérez-Arribas, L. V.; Polo-Díez, L. M. Principal component analysis(PCA) and multiple linear regression (MLR) statistical tools toevaluate the effect of E-beam irradiation on ready-to-eat food. J. FoodCompos. Anal. 2011, 24 (3), 456−464.(10) Rusak, D. A.; Brown, L. M.; Martin, S. D. Classification ofVegetable Oils by Principal Component Analysis. J. Chem. Educ. 2003,80, 541−543.(11) Besalú, E. From Periodic Properties to a Periodic TableArrengement. J. Chem. Educ. 2013, 90, 1009−1013.(12) Liland, K. H. Multivariate Methods in MetabolomicsfromPre-Processing to Dimension Reduction and Statistical Analysis. TrAC,Trends Anal. Chem. 2011, 30 (6), 827−841.(13) The European Parliament and the Council. Directive 2008/50/EC of 21 May 2008 on Ambient Air Quality and Cleaner Air for Europe;Official Journal of the European Union, 11.6.2008, L 152.(14) Concejalíade Medioambiente. Sistema de Vigilancia de laCalidad del aire. http://www.mambiente.munimadrid.es/sica/scripts/index.php (accessed Dec 2016).(15) Atmospheric Quality AreaAir Quality Network. http://gestiona.madrid.org/azul_internet/html/web/2.htm?ESTADO_MENU=2 (accessedDec 2016).(16) Air London. http://www.londonair.org.uk/london/asp/datadownload.asp (accessed Dec 2016).(17) Airparif. http://www.airparif.asso.fr/en/ (accessed Dec 2016).(18) Statgraphics Centurion. http://www.statgraphics.com/ (accessedDec 2016).(19) Instituto Nacional de Estadiś tica. http://www.ine.es/jaxiT3/Tabla.htm?t=2881&L=1 (accessed Dec 2016).(20) Shibata, H.; Branquinho, C.; McDowell, W. H.; Mitchell, M. J.;Monteith, D. T.; Tang, J.; Arvola, L.; Cruz, C.; Cusack, D. F.; Halada,L.; Kopácek, J.; Máguas, C.; Sajidu, S.; Schubert, H.; Tokuchi, N.;Záhora, J. Consequence of altered nitrogen cycles in the coupledhuman and ecological system under changing climate: The need forlong-term and site-based research. Ambio 2015, 44, 178−193.
DS Docta Complutense
RD 2 oct 2024