Technical note: Coupling infrared gas analysis and cavity ring down spectroscopy for autonomous, high-temporal-resolution measurements of DIC and δ13C–DIC
| Autor: | Isaac R. Santos, Kai G. Schulz, Matheus Carvalho de Carvalho, Damien T. Maher, Mitchell Call |
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| Rok vydání: | 2017 |
| Předmět: |
Accuracy and precision
010504 meteorology & atmospheric sciences Spectrometer Stable isotope ratio Chemistry Analyser Analytical chemistry 010501 environmental sciences 01 natural sciences 6. Clean water Cavity ring-down spectroscopy Total inorganic carbon Dissolved organic carbon Isotope-ratio mass spectrometry Ecology Evolution Behavior and Systematics 0105 earth and related environmental sciences Earth-Surface Processes |
| Zdroj: | Biogeosciences. 14:1305-1313 |
| ISSN: | 1726-4189 |
| DOI: | 10.5194/bg-14-1305-2017 |
| Popis: | A new approach to autonomously determine concentrations of dissolved inorganic carbon (DIC) and its carbon stable isotope ratio (δ13C–DIC) at high temporal resolution is presented. The simple method requires no customised design. Instead it uses two commercially available instruments currently used in aquatic carbon research. An inorganic carbon analyser utilising non-dispersive infrared detection (NDIR) is coupled to a Cavity Ring-down Spectrometer (CRDS) to determine DIC and δ13C–DIC based on the liberated CO2 from acidified aliquots of water. Using a small sample volume of 2 mL, the precision and accuracy of the new method was comparable to standard isotope ratio mass spectrometry (IRMS) methods. The system achieved a sampling resolution of 16 min, with a DIC precision of ±1.5 to 2 µmol kg−1 and δ13C–DIC precision of ±0.14 ‰ for concentrations spanning 1000 to 3600 µmol kg−1. Accuracy of 0.1 ± 0.06 ‰ for δ13C–DIC based on DIC concentrations ranging from 2000 to 2230 µmol kg−1 was achieved during a laboratory-based algal bloom experiment. The high precision data that can be autonomously obtained by the system should enable complex carbonate system questions to be explored in aquatic sciences using high-temporal-resolution observations. |
| Databáze: | OpenAIRE |
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