Quantification of pyrogenic carbon in the environment: an integration of analytical approaches

Cotrufo, M. Francesca, Boot, Claudia, Abiven, Samuel, Foster, Erika J., Haddix, Michelle, Reisser, Moritz, Wurster, Christopher M., Bird, Michael I., and Schmidt, Michael W.I. (2016) Quantification of pyrogenic carbon in the environment: an integration of analytical approaches. Organic Geochemistry, 100. pp. 42-50.

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Pyrogenic carbon (PyC), the product of incomplete combustion of biomass during fire, is now recognized as a significant component of the global carbon cycle. However, quantitative determination of PyC is challenging, in particular at a large scale. We conducted a comparison of three methods for PyC analysis: benzene polycarboxylic acid (BPCA) method, hydrogen pyrolysis (hypy) and mid infrared spectroscopy (MIR) to identify a suitable approach for the determination of PyC at large geographical scales and across different environmental matrices. We analyzed samples (n = 165) derived from a variety of matrices (i.e. forest floor, soils, sediments and char), most of which were collected in the natural environment after fire. BPCA and hypy PyC estimates correlated linearly (R-2 between 0.74 and 0.92), thus suggesting that they can be merged in larger scale PyC syntheses. However, the slope of the regression varied among different matrices, ranging between 0.1 and 0.44, likely due to differences in the degree of aromatic condensation. MIR coupled with partial least-squares regression (MIR-PLSR) was demonstrated to be a powerful tool for estimating PyC across a variety of environmental matrices, with high throughput and low analytical cost in comparison with the other two PyC analytical methods. Furthermore, we obtained accurate calibrations for MIR-PLSR from the hypy and the BPCA method, the latter in particular for soil samples. We thus conclude that PyC estimates at large geographical scales and across different environmental matrices can be obtained from MIR-PLSR, previous calibration with hypy or BPCA, for matrices for which the PyC yields are known.

Item ID: 45795
Item Type: Article (Research - C1)
ISSN: 1873-5290
Keywords: pyrogenic carbon, black carbon, Benzene Polycarboxylic Acids, Hydrogen pyrolysis, mid infrared spectroscopy, fire, sediments, soils
Projects and Grants: NSF-CNIC project #1427557, NSF-RAPID project #1261383
Research Data: http://hdl.handle.net/10217/170584
Date Deposited: 21 Sep 2016 07:40
FoR Codes: 37 EARTH SCIENCES > 3703 Geochemistry > 370304 Organic geochemistry @ 100%
SEO Codes: 97 EXPANDING KNOWLEDGE > 970104 Expanding Knowledge in the Earth Sciences @ 100%
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