Comparison of secondary ion mass spectrometry and micromilling/continuous flow isotope ratio mass spectrometry techniques used to acquire intra-otolith δ18O values of wild Atlantic salmon (Salmo salar)
The chemical signals in the sequential layers of fish otoliths have the potential to provide fisheries biologists with temporal and spatial details of migration which are difficult to obtain without expensive tracking methods. Signal resolution depends, however, on the extraction technique used. We...
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Published in | Rapid communications in mass spectrometry Vol. 24; no. 17; pp. 2491 - 2498 |
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Main Authors | , , , |
Format | Journal Article |
Language | English Japanese |
Published |
Chichester, UK
John Wiley & Sons, Ltd
15.09.2010
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Online Access | Get full text |
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Summary: | The chemical signals in the sequential layers of fish otoliths have the potential to provide fisheries biologists with temporal and spatial details of migration which are difficult to obtain without expensive tracking methods. Signal resolution depends, however, on the extraction technique used. We compared the use of mechanical micromilling and continuous flow isotope ratio mass spectrometry (CF‐IRMS) methods with secondary ion mass spectrometry (SIMS) to obtain δ18O profiles from otoliths of wild Atlantic salmon (Salmo salar) and used these to corroborate the time of freshwater emigration of the juvenile with macroscopic patterns within the otolith. Both techniques showed the transition occurring at the same visible feature on the otolith, allowing future analyses to easily identify the juvenile (freshwater) versus adult (marine) life‐stages. However, SIMS showed a rapid and abrupt transition whereas micromilling provided a less distinct signal. The number of samples that could be obtained per unit area sampled using SIMS was 2 to 3 times greater than that when using micromilling/CF‐IRMS although the δ18O values and analytical precisions (∼0.2‰) of the two methods were comparable. In addition, SIMS δ18O results were used to compare otolith aragonite values with predicted values calculated using various isotope fractionation equations. Copyright © 2010 John Wiley & Sons, Ltd. |
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Bibliography: | istex:21A93FD249BF9490DA374D05008CF3B551070822 ArticleID:RCM4646 ark:/67375/WNG-W9KZMQ2R-7 |
ISSN: | 0951-4198 1097-0231 |
DOI: | 10.1002/rcm.4646 |