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Assessment of bias in carbon isotope composition of organic leaf matter due to pre-analysis milling methods.
- Source :
-
Rapid communications in mass spectrometry : RCM [Rapid Commun Mass Spectrom] 2021 Jun 04, pp. e9134. Date of Electronic Publication: 2021 Jun 04. - Publication Year :
- 2021
- Publisher :
- Ahead of Print
-
Abstract
- Rationale: Stable isotope analysis of leaf material has many applications including assessment of plant water-use efficiency and palaeoclimatology. To facilitate interpretations of small shifts in the carbon isotope composition (δ <superscript>13</superscript> C) of leaves, accurate and repeatable results are required. Pre-sample homogenisation is essential to ensure a representative sample is analysed, but can also introduce error.<br />Methods: We investigate how different grinding methods (freezer-milling and ball-milling) affect the carbon content and δ <superscript>13</superscript> C of tree leaves from a wetland in Queensland, Australia, commenting on how increased temperature, sample contamination, sample loss or poor homogenisation may impact results.<br />Results: No alteration of leaf δ <superscript>13</superscript> C is observed due to different milling methods, although there may be a significant increase in %C of samples processed using ball-milling.<br />Conclusions: We suggest %C variability is possibly due to contamination from abraded plastic vials or insufficient homogenisation during ball-milling, with no significant impact on δ <superscript>13</superscript> C. Overall, we suggest that intermittent ball-milling may be the best solution to reduce costs, preparation time and use of liquid nitrogen, aiming to achieve complete homogenisation using the shortest possible duration of milling.<br /> (© 2021 The Authors. Rapid Communications in Mass Spectrometry published by John Wiley & Sons Ltd.)
Details
- Language :
- English
- ISSN :
- 1097-0231
- Database :
- MEDLINE
- Journal :
- Rapid communications in mass spectrometry : RCM
- Publication Type :
- Academic Journal
- Accession number :
- 34087023
- Full Text :
- https://doi.org/10.1002/rcm.9134