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植物采样不确定性的估算:基于苔藓样本化学分析的一个实例

Estimation of plant sampling uncertainty: an example based on chemical analysis of moss samples.

作者信息

Dołęgowska Sabina

机构信息

Geochemistry and the Environment Division, Institute of Chemistry, Jan Kochanowski University, 15G Świętokrzyska St., 25-406, Kielce, Poland.

出版信息

Environ Sci Pollut Res Int. 2016 Nov;23(22):22623-22632. doi: 10.1007/s11356-016-7477-4. Epub 2016 Aug 24.

DOI:10.1007/s11356-016-7477-4
PMID:27557965
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5101290/
Abstract

In order to estimate the level of uncertainty arising from sampling, 54 samples (primary and duplicate) of the moss species Pleurozium schreberi (Brid.) Mitt. were collected within three forested areas (Wierna Rzeka, Piaski, Posłowice Range) in the Holy Cross Mountains (south-central Poland). During the fieldwork, each primary sample composed of 8 to 10 increments (subsamples) was taken over an area of 10 m whereas duplicate samples were collected in the same way at a distance of 1-2 m. Subsequently, all samples were triple rinsed with deionized water, dried, milled, and digested (8 mL HNO (1:1) + 1 mL 30 % HO) in a closed microwave system Multiwave 3000. The prepared solutions were analyzed twice for Cu, Fe, Mn, and Zn using FAAS and GFAAS techniques. All datasets were checked for normality and for normally distributed elements (Cu from Piaski, Zn from Posłowice, Fe, Zn from Wierna Rzeka). The sampling uncertainty was computed with (i) classical ANOVA, (ii) classical RANOVA, (iii) modified RANOVA, and (iv) range statistics. For the remaining elements, the sampling uncertainty was calculated with traditional and/or modified RANOVA (if the amount of outliers did not exceed 10 %) or classical ANOVA after Box-Cox transformation (if the amount of outliers exceeded 10 %). The highest concentrations of all elements were found in moss samples from Piaski, whereas the sampling uncertainty calculated with different statistical methods ranged from 4.1 to 22 %.

摘要

为了估算采样产生的不确定度水平,在波兰中南部圣十字山脉的三个林区(维尔纳河、皮亚斯基、波斯洛维采山脉)采集了54个多枝藓(Pleurozium schreberi (Brid.) Mitt.)样本(原始样本和重复样本)。在野外工作期间,每个由8至10个增量(子样本)组成的原始样本在10米的区域内采集,而重复样本以相同方式在1至2米的距离处采集。随后,所有样本用去离子水冲洗三次,干燥、研磨,并在密闭微波系统Multiwave 3000中消化(8毫升硝酸(1:1)+1毫升30%过氧化氢)。使用火焰原子吸收光谱法(FAAS)和石墨炉原子吸收光谱法(GFAAS)对制备好的溶液中的铜、铁、锰和锌进行了两次分析。对所有数据集进行了正态性检验以及对呈正态分布的元素(皮亚斯基的铜、波斯洛维采的锌、维尔纳河的铁和锌)进行了检验。采样不确定度通过以下方法计算:(i)经典方差分析,(ii)经典随机方差分析,(iii)修正随机方差分析,以及(iv)极差统计。对于其余元素,采样不确定度通过传统和/或修正随机方差分析计算(如果异常值数量不超过10%),或者在Box-Cox变换后通过经典方差分析计算(如果异常值数量超过10%)。在皮亚斯基采集的苔藓样本中发现了所有元素的最高浓度,而用不同统计方法计算出的采样不确定度范围为4.1%至22%。

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本文引用的文献

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A critical review of protocols for moss biomonitoring of atmospheric deposition: sampling and sample preparation.大气沉积物的苔藓生物监测方案:采样和样品制备的批判性回顾。
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Estimation of uncertainty in the sampling and analysis of polychlorinated biphenyls and polycyclic aromatic hydrocarbons from contaminated soil in Brighton, UK.英国布莱顿市受污染土壤中多氯联苯和多环芳烃采样与分析的不确定性评估。
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Hylocomium splendens (Hedw.) B.S.G. and Pleurozium schreberi (Brid.) Mitt. as trace element bioindicators: statistical comparison of bioaccumulative properties.
亮叶绢藓(Hedw.)B.S.G.和粗枝碎米蕨藓(Brid.) Mitt. 作为微量元素生物标志物:生物累积特性的统计比较。
J Environ Sci (China). 2013 Feb 1;25(2):340-7. doi: 10.1016/s1001-0742(12)60040-0.
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Anomalous concentrations of rare earth elements in the moss-soil system from south-central Poland.波兰中南部苔藓-土壤系统中稀土元素的异常浓度。
Environ Pollut. 2013 Jul;178:33-40. doi: 10.1016/j.envpol.2013.02.024. Epub 2013 Mar 20.
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Comparative studies of metal air pollution by atomic spectrometry techniques and biomonitoring with moss and lichens.原子光谱技术与苔藓和地衣生物监测的金属大气污染比较研究。
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Environ Monit Assess. 2012 Nov;184(11):6765-74. doi: 10.1007/s10661-011-2456-1. Epub 2011 Dec 2.
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Stable sulphur isotope ratios in the moss species Hylocomium splendens (Hedw.) B.S.G. and Pleurozium schreberi (Brid.) Mitt. from the Kielce area (south-central Poland).来自凯尔采地区(波兰中南部)的藓类植物尖叶泥炭藓(Hylocomium splendens (Hedw.) B.S.G.)和塔藓(Pleurozium schreberi (Brid.) Mitt.)中的稳定硫同位素比率
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