Moss biomonitoring of lithogenic impact on the distribution of various chemical elements in the air in the region of Mariovo, North Macedonia.

Trajče Stafilov, Robert Šajn, Danica Damčevska, Claudiu Tănăselia
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Abstract

A study was conducted to investigate the air deposition and explore the distribution of potentially toxic elements in the Mariovo region, North Macedonia, using moss samples as biomonitors of air pollution. The distribution of 44 chemical elements was detected in 20 moss samples collected in the area. The moss samples were analyzed after microwave digestion using inductively coupled plasma - atomic emission spectrometry (ICP-AES) and inductively coupled plasma-mass spectrometry (ICP-MS). It was found that atmospheric deposition for some potentially toxic elements in the moss samples in the study area was influenced only by lithogenic origin. R-mode factor analysis was used to identify and characterize elemental associations. Three factors were separated from the group of macroelements determined by ICP-AES: Factor 1 (Cr, Fe, Ni, V, Al, Zn, Pb, and Li), F2 (Li, Sr, and Ba), and F3 (P, and K); and two associations were separated from the group of trace elements determined by ICP-MS: Factor 1 (Ga, Sc, Ti, Co, Zr, Rb, As, Cs, Ge, Y, Sn, Mo, and rare earth elements - REEs) and Factor 2 (Br, B, Cd, I, and Sb).

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一项研究利用苔藓样本作为空气污染的生物监测器,调查了北马其顿马里奥沃地区的空气沉积情况,并探索了潜在有毒元素的分布情况。在该地区采集的 20 个苔藓样本中检测到了 44 种化学元素的分布。苔藓样本经过微波消解后,使用电感耦合等离子体-原子发射光谱分析法(ICP-AES)和电感耦合等离子体-质谱分析法(ICP-MS)进行了分析。研究发现,研究区域苔藓样本中某些潜在有毒元素的大气沉积仅受岩石成因的影响。采用 R 模式因子分析来确定和描述元素关联。从 ICP-AES 测定的宏量元素中分离出三个因子:因子 1(Cr、Fe、Ni、V、Al、Zn、Pb 和 Li)、因子 2(Li、Sr 和 Ba)和因子 3(P 和 K);从 ICP-MS 测定的微量元素组中分离出两个关联:因子 1(Ga、Sc、Ti、Co、Zr、Rb、As、Cs、Ge、Y、Sn、Mo 和稀土元素-REEs)和因子 2(Br、B、Cd、I 和 Sb)。
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来源期刊
CiteScore
4.10
自引率
4.80%
发文量
93
审稿时长
3.0 months
期刊介绍: 14 issues per year Abstracted/indexed in: BioSciences Information Service of Biological Abstracts (BIOSIS), CAB ABSTRACTS, CEABA, Chemical Abstracts & Chemical Safety NewsBase, Current Contents/Agriculture, Biology, and Environmental Sciences, Elsevier BIOBASE/Current Awareness in Biological Sciences, EMBASE/Excerpta Medica, Engineering Index/COMPENDEX PLUS, Environment Abstracts, Environmental Periodicals Bibliography & INIST-Pascal/CNRS, National Agriculture Library-AGRICOLA, NIOSHTIC & Pollution Abstracts, PubSCIENCE, Reference Update, Research Alert & Science Citation Index Expanded (SCIE), Water Resources Abstracts and Index Medicus/MEDLINE.
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Moss biomonitoring of lithogenic impact on the distribution of various chemical elements in the air in the region of Mariovo, North Macedonia. Highly efficient adsorption of natural organic matter from aqueous solutions by macroporous weakly basic anion exchange resin: performance, mechanism, and fixed - bed column. Modeling of the biomethane production from ultrasonic pretreated fruit and vegetable waste via anaerobic digestion. Precision forecasting of spray-dry desulfurization using Gaussian noise data augmentation and k-fold cross-validation optimized neural computing. Machine learning, a powerful tool for the prediction of BiVO4 nanoparticles efficiency in photocatalytic degradation of organic dyes.
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