Faster and more precise isotopic water analysis of discrete samples by predicting the repetitions' asymptote instead of averaging last values.
Calibration
Cavity ring-down spectroscopy (CRDS)
Hydrology
Picarro
Tracer
Water stable isotopes
aol, average of the last injections
exp, method fitting an exponential function
inv, method fitting
Journal
MethodsX
ISSN: 2215-0161
Titre abrégé: MethodsX
Pays: Netherlands
ID NLM: 101639829
Informations de publication
Date de publication:
2022
2022
Historique:
received:
26
11
2021
accepted:
27
02
2022
entrez:
25
3
2022
pubmed:
26
3
2022
medline:
26
3
2022
Statut:
epublish
Résumé
Water stable isotope analysis using Cavity Ring-Down Spectroscopy (CRDS) has a strong between-sample memory effect. The classic approach to correct this memory effect is to inject the sample at least 6 times and ignore the first two to three injections. The average of the remaining injections is then used as measured value. This is in many cases insufficient to completely compensate the memory effect. We propose a simple approach to correct this memory effect by predicting the asymptote of consecutive repeated injections instead of averaging over them. The asymptote is predicted by fitting a
Identifiants
pubmed: 35330850
doi: 10.1016/j.mex.2022.101656
pii: S2215-0161(22)00040-1
pmc: PMC8938324
doi:
Types de publication
Journal Article
Langues
eng
Pagination
101656Informations de copyright
© 2022 The Author(s).
Déclaration de conflit d'intérêts
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
Références
Isotopes Environ Health Stud. 2019 Jun;55(3):290-307
pubmed: 31037964
Rapid Commun Mass Spectrom. 2011 Oct 15;25(19):2711-20
pubmed: 21913248
Rapid Commun Mass Spectrom. 2021 Jul 31;35(14):e9108
pubmed: 33864632
Nat Methods. 2020 Mar;17(3):261-272
pubmed: 32015543
Environ Sci Technol. 2014 Jan 21;48(2):1123-31
pubmed: 24328223
Rapid Commun Mass Spectrom. 2013 May 15;27(9):1055-66
pubmed: 23592209