Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Chemospherearrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
Chemosphere
Article
License: CC BY NC ND
Data sources: UnpayWall
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Chemosphere
Article . 2018 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
versions View all 6 versions
addClaim

This Research product is the result of merged Research products in OpenAIRE.

You have already added 0 works in your ORCID record related to the merged Research product.

Ranking and similarity of conventional, microwave and ultrasound element sequential extraction methods

Authors: Dubravka, Relić; Károly, Héberger; Sanja, Sakan; Biljana, Škrbić; Aleksandar, Popović; Dragana, Đorđević;

Ranking and similarity of conventional, microwave and ultrasound element sequential extraction methods

Abstract

This study aims to compare three extraction techniques of four sequential element extraction steps from soil and sediment samples that were taken from the location of the Pancevo petrochemical industry (Serbia). Elements were extracted using three different techniques: conventional, microwave and ultrasound extraction. A novel procedure sum of the ranking differences (SRD) - was able to rank the techniques and elements, to see whether this method is a suitable tool to reveal the similarities and dissimilarities in element extraction techniques, provided that a proper ranking reference is available. The concentrations of the following elements Al, Ba, Ca, Cd, Co, Cr, Cu, Fe, K, Mg, Mn, Na, Ni, Pb, Si, Sn, Sr, V and Zn were determined through ICP OES. The different efficiencies and recovery values of element concentrations using each of the three extraction techniques were examined by the CRM BCR-701. By using SRD, we obtained a better separation between the different extraction techniques and steps when we rank their differences among the samples while lower separation was obtained according to analysed elements. Appling this method for ordering the elements could be useful for three purposes: (i) to find possible associations among the elements; (ii) to find possible elements that have outlier concentrations or (iii) detect differences in geochemical origin or behaviour of elements. Cross-validation of the SRD values in combination with cluster and principal component analysis revealed the same groups of extraction steps and techniques. (C) 2018 Elsevier Ltd. All rights reserved.

Peer-reviewed manuscript: [http://cherry.chem.bg.ac.rs/handle/123456789/3250]

Supplementary materisl: [http://cherry.chem.bg.ac.rs/handle/123456789/3251]

Country
Serbia
Subjects by Vocabulary

Microsoft Academic Graph classification: Rank (linear algebra) Analytical chemistry Similarity (network science) Mathematics Extraction (chemistry) Ranking Inductively coupled plasma atomic emission spectroscopy Outlier Principal component analysis Microwave

Keywords

Geologic Sediments, Environmental Engineering, Steps and techniques comparison, Health, Toxicology and Mutagenesis, Oil and Gas Industry, Chemical Fractionation, Soil, Pattern recognition, Soil Pollutants, Sequential extraction, Environmental Chemistry, Microwaves, Ordering, Principal Component Analysis, Public Health, Environmental and Occupational Health, General Medicine, General Chemistry, Pollution, Trace Elements, Ultrasonic Waves, Metals, Serbia, Environmental Monitoring

13 references, page 1 of 2

Alfaro, M.R., Montero, A., Ugarte, O.M., do Nascimento, C.W.A., de Aguiar Accioly, A.M., Biondi, C.M., da Silva, Y.J.A.B., 2015. Background concentrations and reference values for heavy metals in soils of Cuba. Environ. Monit. Assess. 187, 4198. https://doi.org/10.1007/s10661-014-4198-3

Bielicka-Daszkiewicz, K., Voelkel, A., Pietrzynska, M., Heberger, K., 2010. Role of Hansen solubility parameters in solid phase extraction. J. Chromatogr. A 1217, 5564-5570. https://doi.org/10.1016/j.chroma.2010.06.066 [OpenAIRE]

Bolboaca, S.D., Jantschi, L., 2010. Diagnostic of a QSPR model: aqueous solubility of drug-like compounds. Stud. Univ. Babes-Bolyai Chem. 69-76.

Canepari, S., Cardarelli, E., Ghighi, S., Scimonelli, L., 2005. Ultrasound and microwave-assisted extraction of metals from sediment: A comparison with the BCR procedure. Talanta 66, 1122-1130. https://doi.org/10.1016/j.talanta.2005.01.014 T

De Andrade Passos, E., Alves, J.D.P.H., Garcia, C.A.B., Costa, NA.C.S., 2011. Metal fractionation in sediments of the Sergipe River, Northeast, BrazAil.J. Braz. Chem. Soc. 22, 828-835. https://doi.org/10.1590/S0103-505320110005000M04

Djaković-Sekulić, T., Mandić, A., Trišović, N., Uščumlić, G., 2012. Structure-Retention D Relationship Study of HPLC Data of Antiepileptic Hydantoin Analogues 3-9. E

Garkani-Nejad, Z., Ahmadvand, M., T2011. Comparative QSRR modeling of nitrobenzene derivatives based on original molecular descriptors and multivariate image analysis P descriptors. Chromatographia 73, 733-742. https://doi.org/10.1007/s10337-011-1969-7 E

Gowen, A.A., Downey, G., Esquerre, C., O'Donnell, C.P., 2011. Preventing over-fitting in PLS C calibration models of near-infrared (NIR) spectroscopy data using regression coefficients. J. Chemom. 25, 375C-381. https://doi.org/10.1002/cem.1349 A

Héberger, K., 2010. Sum of ranking differences compares methods or models fairly. TrAC - Trends Anal. Chem. 29, 101-109. https://doi.org/10.1016/j.trac.2009.09.009 [OpenAIRE]

Héberger, K., Kollar-Hunek, K., 2011. Sum of ranking differences for method discrimination [OpenAIRE]

  • BIP!
    Impact byBIP!
    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    6
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
    OpenAIRE UsageCounts
    Usage byUsageCounts
    visibility views 361
    download downloads 488
  • citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    6
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
    Powered byBIP!BIP!
  • 361
    views
    488
    downloads
    Powered byOpenAIRE UsageCounts
Powered by OpenAIRE graph
Found an issue? Give us feedback
visibility
download
citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
OpenAIRE UsageCountsDownloads provided by UsageCounts
6
Top 10%
Average
Average
361
488
hybrid