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Rapid Commun Mass Spectrom ; 25(16): 2355-60, 2011 Aug 30.
Artículo en Inglés | MEDLINE | ID: mdl-21766378

RESUMEN

Measurements of δ(13)C in CO(2) have traditionally relied on samples stored in sealed vessels and subsequently analyzed using magnetic sector isotope ratio mass spectrometry (IRMS), an accurate but expensive and high-maintenance analytical method. Recent developments in optical spectroscopy have yielded instruments that can measure δ(13)CO(2) in continuous streams of air with precision and accuracy approaching those of IRMS, but at a fraction of the cost. However, continuous sampling is unsuited for certain applications, creating a need for conversion of these instruments for batch operation. Here, we present a flask (syringe) adaptor that allows the collection and storage of small aliquots (20-30 mL air) for injection into the cavity ring-down spectroscopy (CRDS) instrument. We demonstrate that the adaptor's precision is similar to that of traditional IRMS (standard deviation of 0.3‰ for 385 ppm CO(2) standard gas). In addition, the concentration precision (±0.3% of sample concentration) was higher for CRDS than for IRMS (±7% of sample concentration). Using the adaptor in conjunction with CRDS, we sampled soil chambers and found that soil-respired δ(13)C varied between two different locations in a piñon-juniper woodland. In a second experiment, we found no significant discrimination between the respiration of a small beetle (~5 mm) and its diet. Our work shows that the CRDS system is flexible enough to be used for the analysis of batch samples as well as for continuous sampling. This flexibility broadens the range of applications for which CRDS has the potential to replace magnetic sector IRMS.


Asunto(s)
Dióxido de Carbono/análisis , Isótopos de Carbono/análisis , Espectrometría de Masas/métodos , Suelo/química , Animales , Pruebas Respiratorias/métodos , Calibración , Dióxido de Carbono/química , Dióxido de Carbono/metabolismo , Escarabajos/metabolismo , Análisis de los Mínimos Cuadrados , Pinus , Reproducibilidad de los Resultados , Estadísticas no Paramétricas
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