Towards the compatibility of stable isotope data: review of related concepts, recent progress with reference materials and current challenges.

IF 1.1 4区 环境科学与生态学 Q4 CHEMISTRY, INORGANIC & NUCLEAR Isotopes in Environmental and Health Studies Pub Date : 2024-06-01 Epub Date: 2024-06-12 DOI:10.1080/10256016.2024.2355194
Sergey Assonov
{"title":"Towards the compatibility of stable isotope data: review of related concepts, recent progress with reference materials and current challenges.","authors":"Sergey Assonov","doi":"10.1080/10256016.2024.2355194","DOIUrl":null,"url":null,"abstract":"<p><p>Comparing and combining stable isotope datasets from different laboratories and different years is essential for many research areas, such as isotope hydrology, greenhouse gas observations, food studies, isotope forensics, palaeo-reconstructions, etc. Data compatibility (i.e. the ability to combine data) is related to the data quality. The prerequisite for data comparability is data normalization to a common stable isotope scale (often referred to as calibration) based on reliable reference materials (RMs) with accurately assigned values and uncertainties. Still, that does not guarantee the data compatibility (mutual agreement). Albeit metrological concepts related to data compatibility and measurement uncertainty have been developed and applied to analytical chemistry in general, these concepts have not yet been fully applied to stable isotope research. This can affect daily calibrations, analytical data and, therefore, data compatibility. In addition, IRMS users often prepare different laboratory standards themselves. Thereafter, users should then understand the contemporary concepts used for assigning RM value and uncertainty, as well as the limitations and potential problems associated with RMs. The history of RMs, preparation reports and also some problems in the past provide lessons to be learned. These include the <i>δ</i><sup>13</sup>C drift of LSVEC (the second anchor on the <i>δ</i><sup>13</sup>C scale before 2017), revisions to the value assignment principles, the introduction of replacements for LSVEC, related disputes and the potential underestimation of uncertainties for secondary RMs. The review describes metrological concepts related to isotopic scales, RMs and calibration hierarchies and data compatibility. The main RMs and their uncertainties are reviewed through the lens of metrology concepts. Additional focus is given to the VPDB scale for <i>δ</i><sup>13</sup>C and issues of scale discontinuity, which can significantly reduce data compatibility in <i>δ</i><sup>13</sup>C. The given examples of value and uncertainty assignment for RMs should be viewed as an example of value and uncertainty calculation in daily practice.</p>","PeriodicalId":14597,"journal":{"name":"Isotopes in Environmental and Health Studies","volume":null,"pages":null},"PeriodicalIF":1.1000,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Isotopes in Environmental and Health Studies","FirstCategoryId":"93","ListUrlMain":"https://doi.org/10.1080/10256016.2024.2355194","RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/6/12 0:00:00","PubModel":"Epub","JCR":"Q4","JCRName":"CHEMISTRY, INORGANIC & NUCLEAR","Score":null,"Total":0}
引用次数: 0

Abstract

Comparing and combining stable isotope datasets from different laboratories and different years is essential for many research areas, such as isotope hydrology, greenhouse gas observations, food studies, isotope forensics, palaeo-reconstructions, etc. Data compatibility (i.e. the ability to combine data) is related to the data quality. The prerequisite for data comparability is data normalization to a common stable isotope scale (often referred to as calibration) based on reliable reference materials (RMs) with accurately assigned values and uncertainties. Still, that does not guarantee the data compatibility (mutual agreement). Albeit metrological concepts related to data compatibility and measurement uncertainty have been developed and applied to analytical chemistry in general, these concepts have not yet been fully applied to stable isotope research. This can affect daily calibrations, analytical data and, therefore, data compatibility. In addition, IRMS users often prepare different laboratory standards themselves. Thereafter, users should then understand the contemporary concepts used for assigning RM value and uncertainty, as well as the limitations and potential problems associated with RMs. The history of RMs, preparation reports and also some problems in the past provide lessons to be learned. These include the δ13C drift of LSVEC (the second anchor on the δ13C scale before 2017), revisions to the value assignment principles, the introduction of replacements for LSVEC, related disputes and the potential underestimation of uncertainties for secondary RMs. The review describes metrological concepts related to isotopic scales, RMs and calibration hierarchies and data compatibility. The main RMs and their uncertainties are reviewed through the lens of metrology concepts. Additional focus is given to the VPDB scale for δ13C and issues of scale discontinuity, which can significantly reduce data compatibility in δ13C. The given examples of value and uncertainty assignment for RMs should be viewed as an example of value and uncertainty calculation in daily practice.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
实现稳定同位素数据的兼容性:回顾相关概念、参考材料的最新进展和当前挑战。
比较和合并来自不同实验室和不同年份的稳定同位素数据集对许多研究领域都至关重要,如同位素水文学、温室气体观测、食品研究、同位素法医学、古重建等。数据兼容性(即合并数据的能力)与数据质量有关。数据可比性的先决条件是根据可靠的参考材料(RMs)和准确分配的数值和不确定性,将数据归一化为通用的稳定同位素标度(通常称为校准)。但这并不能保证数据的兼容性(相互一致)。尽管与数据兼容性和测量不确定性有关的计量学概念已被开发并应用于一般分析化学,但这些概念尚未完全应用于稳定同位素研究。这可能会影响日常校准和分析数据,从而影响数据兼容性。此外,IRMS 用户通常会自行制备不同的实验室标准。之后,用户应了解用于分配 RM 值和不确定性的现代概念,以及与 RM 相关的限制和潜在问题。清除量的历史、制备报告以及过去存在的一些问题都是值得吸取的教训。这些问题包括 LSVEC 的 δ13C 漂移(2017 年之前 δ13C 量表上的第二个锚)、定值原则的修订、LSVEC 替代品的引入、相关争议以及次级 RM 的不确定性可能被低估。综述介绍了与同位素尺度、RMs 和校准等级以及数据兼容性相关的计量学概念。通过计量学概念的视角,对主要清除量及其不确定性进行了审查。此外,还重点讨论了δ13C 的 VPDB 标度和标度不连续性问题,这可能会大大降低δ13C 的数据兼容性。所给出的 RM 值和不确定性分配示例应被视为日常实践中值和不确定性计算的示例。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
CiteScore
2.80
自引率
7.70%
发文量
21
审稿时长
3.0 months
期刊介绍: Isotopes in Environmental and Health Studies provides a unique platform for stable isotope studies in geological and life sciences, with emphasis on ecology. The international journal publishes original research papers, review articles, short communications, and book reviews relating to the following topics: -variations in natural isotope abundance (isotope ecology, isotope biochemistry, isotope hydrology, isotope geology) -stable isotope tracer techniques to follow the fate of certain substances in soil, water, plants, animals and in the human body -isotope effects and tracer theory linked with mathematical modelling -isotope measurement methods and equipment with respect to environmental and health research -diagnostic stable isotope application in medicine and in health studies -environmental sources of ionizing radiation and its effects on all living matter
期刊最新文献
Effects of anticoagulants time storage on stable isotope values of crocodilians' blood tissues. Stable-isotope variability in daily precipitation: insights from a low-cost collector in SE England. Contribution of the diatom Navicula sp. to the growth of Penaeus vannamei post-larvae in biofloc system: a quantitative stable isotope assessment. Non-invasive determination of critical dissolved oxygen thresholds for stress physiology in fish using triple-oxygen stable isotopes and aquatic respirometry. Assessment of the level and risk of radioactive hazards in coastal sediments in northern Vietnam.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1