Potential biomonitoring of atmospheric carbon dioxide in Coffea arabica leaves using near-infrared spectroscopy and partial least squares discriminant analysis

The potencial of Coffea arabica leaves as bioindicators of atmospheric carbon dioxide (CO 2 ) was evaluated in a free-air carbon dioxide enrichment (FACE) experiment by using near-infrared reflectance (NIR) spectroscopy for direct analysis and partial least squares discriminant analysis (PLS-DA). A...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	Environmental science and pollution research international 2019-10, Vol.26 (29), p.30356-30364
Hauptverfasser:	Tormena, Cláudia Domiciano, Marcheafave, Gustavo Galo, Pauli, Elis Daiane, Bruns, Roy Edward, Scarminio, Ieda Spacino
Format:	Artikel
Sprache:	eng
Schlagworte:	Aquatic Pollution Atmosphere Atmospheric models Atmospheric Protection/Air Quality Control/Air Pollution Bioindicators Biological Monitoring - methods Biological Monitoring - statistics & numerical data Biomonitoring Carbon dioxide Carbon Dioxide - analysis Classification Coffea - chemistry Coffea - physiology Coffea arabica Coffee Discriminant Analysis Earth and Environmental Science Ecotoxicology Environment Environmental Chemistry Environmental Health Environmental science I.R. radiation Indicator species Infrared analysis Infrared spectra Infrared spectroscopy Least squares Least-Squares Analysis Leaves Levels Mathematical models Models, Biological Near infrared radiation Nondestructive testing Plant Leaves Prediction models Reflectance Regression analysis Regression coefficients Research Article Spectral bands Spectroscopic analysis Spectroscopy, Near-Infrared - statistics & numerical data Spectrum analysis Waste Water Technology Water Management Water Pollution Control
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!