LUCY C. Blennerhassett, PAUL C. Guyett, EMMA L. Tomlinson
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Semi-quantitative, unsupervised chemical maps of epoxy mounts are created within 120 min using ‘Feature Analysis’ on AZtec software by Oxford Instruments. These maps locate grains of higher atomic mass and categorize phases based on geochemistry. We create a tephra identification method using an ombrotrophic peat sample doped with bimodal Vedde Ash, where recovery of the known tephra proportion in wet peat is 96%. We also propose an automated alternative to optical shard counting, whereby tephra counts identified via Feature Analysis can be ratioed to total grain counts acquired through ImageJ software and extrapolated to the inorganic fraction in wet peat. We apply the method to a minerotrophic peat from Brackloon Wood, Mayo, Ireland, where the Laki <span>ad</span> 1783–84 cryptotephra is successfully identified.</p>","PeriodicalId":16929,"journal":{"name":"Journal of Quaternary Science","volume":"39 5","pages":"816-830"},"PeriodicalIF":1.9000,"publicationDate":"2024-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/jqs.3619","citationCount":"0","resultStr":"{\"title\":\"Tephra identification without pre-separation in ashed peat\",\"authors\":\"LUCY C. Blennerhassett, PAUL C. Guyett, EMMA L. 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We apply the method to a minerotrophic peat from Brackloon Wood, Mayo, Ireland, where the Laki <span>ad</span> 1783–84 cryptotephra is successfully identified.</p>\",\"PeriodicalId\":16929,\"journal\":{\"name\":\"Journal of Quaternary Science\",\"volume\":\"39 5\",\"pages\":\"816-830\"},\"PeriodicalIF\":1.9000,\"publicationDate\":\"2024-04-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://onlinelibrary.wiley.com/doi/epdf/10.1002/jqs.3619\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Quaternary Science\",\"FirstCategoryId\":\"89\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1002/jqs.3619\",\"RegionNum\":3,\"RegionCategory\":\"地球科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"GEOGRAPHY, PHYSICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Quaternary Science","FirstCategoryId":"89","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/jqs.3619","RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"GEOGRAPHY, PHYSICAL","Score":null,"Total":0}
引用次数: 0
摘要
泥炭和沉积物样本中的隐壳虫传统上都是在通过光学显微镜对灰烬残留物进行初步鉴定和碎片计数后,使用化学或密度浮选技术分离出来,以便进行地球化学鉴定。然而,这些方法可能会耗费大量时间,受从业人员经验和材料类型的影响,并有可能造成样本丢失。我们提出了一种替代方法来识别泥炭和沉积物样本中的隐翅虫,即直接将灰烬材料装入环氧树脂中,并通过扫描电子显微镜-能量色散 X 射线光谱(SEM-EDX)进行背散射电子(BSE)成像分析。利用牛津仪器公司 AZtec 软件的 "特征分析 "功能,在 120 分钟内绘制出环氧树脂镶样的半定量、无监督化学图谱。这些地图可定位原子质量较高的颗粒,并根据地球化学特征对相进行分类。我们利用掺杂了双峰维德灰的腐生泥炭样本创建了一种表土识别方法,该方法对湿泥炭中已知表土比例的复原率高达 96%。我们还提出了光学碎片计数的自动替代方法,即通过特征分析确定的表土计数可与通过 ImageJ 软件获取的总颗粒计数成比例,并推断出湿泥炭中的无机部分。我们将该方法应用于爱尔兰梅奥 Brackloon Wood 的矿化泥炭中,在该泥炭中成功识别出了 Laki ad 1783-84 年的隐壳。
Tephra identification without pre-separation in ashed peat
Cryptotephras in peat and sediment samples are traditionally separated for geochemical characterization using chemical or density floatation techniques following initial tephra identification and shard counting through analysis of ashed residue via light microscopy. However, these practices can be time consuming, subject to practitioner experience and material type, with a potential for sample loss. We present an alternative approach to identify cryptotephra in peat and sedimentary samples, where ashed material is mounted directly in epoxy resin and analysed through back-scattered electron (BSE) imaging via scanning electron microscopy–energy dispersive X-ray spectroscopy (SEM-EDX). Semi-quantitative, unsupervised chemical maps of epoxy mounts are created within 120 min using ‘Feature Analysis’ on AZtec software by Oxford Instruments. These maps locate grains of higher atomic mass and categorize phases based on geochemistry. We create a tephra identification method using an ombrotrophic peat sample doped with bimodal Vedde Ash, where recovery of the known tephra proportion in wet peat is 96%. We also propose an automated alternative to optical shard counting, whereby tephra counts identified via Feature Analysis can be ratioed to total grain counts acquired through ImageJ software and extrapolated to the inorganic fraction in wet peat. We apply the method to a minerotrophic peat from Brackloon Wood, Mayo, Ireland, where the Laki ad 1783–84 cryptotephra is successfully identified.
期刊介绍:
The Journal of Quaternary Science publishes original papers on any field of Quaternary research, and aims to promote a wider appreciation and deeper understanding of the earth''s history during the last 2.58 million years. Papers from a wide range of disciplines appear in JQS including, for example, Archaeology, Botany, Climatology, Geochemistry, Geochronology, Geology, Geomorphology, Geophysics, Glaciology, Limnology, Oceanography, Palaeoceanography, Palaeoclimatology, Palaeoecology, Palaeontology, Soil Science and Zoology. The journal particularly welcomes papers reporting the results of interdisciplinary or multidisciplinary research which are of wide international interest to Quaternary scientists. Short communications and correspondence relating to views and information contained in JQS may also be considered for publication.