An improved system and analytical method for determining oxygen isotopes in <sup>18</sup>O-enriched water samples

The spatiotemporal differences in the hydrogen and oxygen isotopic composition of water offer a powerful technical approach for research on the water cycle, paleoclimate reconstruction, and water source identification. Hydrogen and oxygen isotopes in certain specialized samples, such as <sup>18</sup>O-enriched water, have been utilized in food science, environmental ecology, and medical research. To address the low efficiency of traditional offline H<sub>2</sub>O-CO<sub>2</sub> equilibrium methods and the pronounced memory effect associated with continuous-flow techniques for <sup>18</sup>O-enriched water samples, we propose a novel analytical system and methodology for oxygen isotope determination in water. The system was independently designed and established in-house. A water equilibrium unit and an extraction preparation unit were organically combined in this system. A water bath shaker was designed for the equilibrium system to accelerate the complete equilibrium exchange and reduce reaction time. A 3.0 mL water sample was injected into a glass bottle and equilibrated with carbon dioxide gas in a water bath at 25 °C for 4 h. While maintaining a high analytical accuracy (within 0.10% and 0.50% for reference materials USGS45 and IAEA-608, respectively), this method significantly improves the efficiency, reducing the processing time by over 10 h. It offers a preferred solution for oxygen isotope analysis in water samples, particularly those enriched in <sup>18</sup>O.

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Publication Details

Journal
Analytical Methods
Published
2025-01-01
DOI
https://doi.org/10.1039/d5ay00505a
Primary Topic
Isotope Analysis in Ecology
Type
article
Field-Weighted Citation Impact
0.00

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article

An improved system and analytical method for determining oxygen isotopes in 18O-enriched water samples

Lianjun Feng, Hongwei Li
Analytical Methods
Isotope Analysis in Ecology
article

An improved system and analytical method for determining oxygen isotopes in 18O-enriched water samples

Lianjun Feng, Hongwei Li
article en

Abstract

The spatiotemporal differences in the hydrogen and oxygen isotopic composition of water offer a powerful technical approach for research on the water cycle, paleoclimate reconstruction, and water source identification. Hydrogen and oxygen isotopes in certain specialized samples, such as <sup>18</sup>O-enriched water, have been utilized in food science, environmental ecology, and medical research. To address the low efficiency of traditional offline H<sub>2</sub>O-CO<sub>2</sub> equilibrium methods and the pronounced memory effect associated with continuous-flow techniques for <sup>18</sup>O-enriched water samples, we propose a novel analytical system and methodology for oxygen isotope determination in water. The system was independently designed and established in-house. A water equilibrium unit and an extraction preparation unit were organically combined in this system. A water bath shaker was designed for the equilibrium system to accelerate the complete equilibrium exchange and reduce reaction time. A 3.0 mL water sample was injected into a glass bottle and equilibrated with carbon dioxide gas in a water bath at 25 °C for 4 h. While maintaining a high analytical accuracy (within 0.10% and 0.50% for reference materials USGS45 and IAEA-608, respectively), this method significantly improves the efficiency, reducing the processing time by over 10 h. It offers a preferred solution for oxygen isotope analysis in water samples, particularly those enriched in <sup>18</sup>O.

Analytical MethodsVol. 17(32)
Chinese Academy of Sciences (CN), Institute of Geology and Geophysics (CN)
Institute of Geology and Geophysics, Chinese Academy of Sciences
Clean water and sanitation
Openalex Percentile: Top 82%
Isotope Analysis in Ecology
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An improved system and analytical method for determining oxygen isotopes in <sup>18</sup>O-enriched water samples — Lianjun Feng, Hongwei Li · Analytical Methods (2025) | TGRS Research Map | TGRS