Analytical Methods in Environmental Chemistry Journal <p>The Analytical Methods in Environmental Chemistry journal&nbsp;is a peer-reviewed journal devoted to all aspects and phases of analytical chemistry and chemical analysis. The Analytical Methods in Environmental Chemistry&nbsp;publishes articles of modern analytical chemistry, cover innovations in the analytical techniques by nanotechnology, new analytical methods in Environmental and occupational health. This includes fundamental aspects, instrumentation, new developments, innovative and novel methods and applications including environmental and clinical field. Traditional classical analytical methods such as spectrophotometry as well as established instrumentation methods such as atomic absorption spectrometry, gas chromatography, and <em>High-performance liquid chromatography</em> methods will be considered.</p> <p>&nbsp;</p> en-US <p>&nbsp;JOURNAL PUBLISHING AGREEMENT</p> <p>&nbsp;<strong>PLEASE PROVIDE US THE FOLLOWING INFORMATION,</strong></p> <p><strong>&nbsp;</strong>Article entitled:</p> <p>Corresponding author:</p> <p>To be published in the journal:</p> <p>&nbsp;<strong><u>Your Status </u></strong></p> <p><strong>&nbsp;</strong><strong>I am the sole author of the manuscript </strong></p> <ul> <li class="show">I am an Iranian government employee.</li> <li class="show">I am a European government employee</li> <li class="show">I am a Asian government</li> <li class="show">None of the above</li> </ul> <p>&nbsp;<strong>I am one author signing on behalf of all co-authors of the manuscript </strong></p> <ul> <li class="show">I am an Iranian government employee.</li> <li class="show">I am a European government employee</li> <li class="show">I am a Asian government</li> <li class="show">None of the above</li> </ul> <p>&nbsp;Please tick the above blanks (as appropriate), review the Journal Publishing Agreement, and then sign and date the document in black ink.</p> <p><strong>Published Journal Article: </strong>the author may share a link to the formal publication through the relevant DOI. Additionally theses and dissertations which contain embedded Published Journal Articles as part of the formal submission may be hosted publicly by the awarding institution with a link to the formal publication through the relevant DOI. Any other sharing of Published Journal Articles is by agreement with the publisher only.</p> <p>&nbsp;Signed: ______________________________________ Name printed: ___________________________________________</p> <p>&nbsp;Title and Company (if employer representative): _______________________Date: __________________________________</p> <p><a href="\protected\files\journals\FORMS\Copyright-Form.pdf" target="_blank" rel="noopener"><strong>DOWNLOAD COPYRIGHT FORM</strong></a></p> (Hamid Shirkhanloo) Thu, 25 Jun 2020 00:00:00 +0000 OJS 60 Determination and prediction of peptide mobilities by micellar electro-kinetic chromatography using adaptive neuro-fuzzy inference system as a feature selection method <p>Mobility of 128 peptides composed of up to 14 amino acids is determined for sodium dodecyl sulfate (SDS) micellar systems using micellar electrokinetic chromatography (MEKC). The mobilities of these peptides are predicted using back propagation of error artificial neural networks (BP-ANNs). Adaptive neuro-fuzzy inference system (ANFIS) which can deal with linear and nonlinear phenomena is used to select the inputs of BP-ANN. A 3:4:1 BP-ANN model with four variables of Kappa&nbsp; substituent constant, Kappa(H), number of peptide bonds, (ln(N), molar refractivity of C-terminal, MR<sub>C</sub>, and steric effects at N-terminal, E<sub>S,N</sub>, which incorporate substituent, steric and molar refractivity effects as its inputs was developed. Comparison of Multiple Linear Regression (MLR) and ANN results shows the nonlinear characteristic of the phenomena. The nonlinear model was successful in predicting the mobilities of 120 peptides except for the ones (8 peptides) with negatively charged amino acids.</p> Mustafa sadi, (Corresponding Author)*, Morteza G. Khaledi, Mehdi Jalali-Heravi ##submission.copyrightStatement## Tue, 30 Jun 2020 00:00:00 +0000 Separation and determination of mercury from nail and hair in petrochemical workers based on silver carbon nanotubes by microwave-assisted headspace sorbent trap <p>&nbsp;</p> <p>In this work, a robust method was developed for the determination of mercury in nail and hair in petrochemical workers. By experimental procedure, 100 mg of hair and nail of workers was prepared as a powder which dried in the oven for 20 min at 95<sup>o</sup>C.&nbsp; 20 mg of hair or nail samples added to reagents (HNO<sub>3</sub>/H<sub>2</sub>O<sub>2</sub>; 5:1) in polyethylene tube (PET) of microwave digestion and the mercury in resulting solution was removed with silver nanoparticles pasted on multi-walled carbon nanotubes (Ag-MWCNTs) which were placed in head space of separator. The mercury vapor was removed by <em>Ag-MWCNTs</em> as the <em>headspace sorbent trap </em>(HSST) under hood conditions. Finally, the mercury was online determined by cold vapor atomic absorption spectrometry after the heat process at 250<sup>o</sup>C in the presence of Ar gas. The capacity adsorptions of <em>Ag-MWCNTs</em> and <em>MWCNTs</em> for mercury removal were obtained 205.4 mg g<sup>-1</sup> and 63.7 mg g<sup>-1</sup>, respectively.</p> Daniel Soleymani, Sahar Zargari, Ali Faghihi-Zarandi, (Corresponding Author)* ##submission.copyrightStatement## Sat, 27 Jun 2020 00:00:00 +0000 Facile synthesis of a modified HF-free MIL-101(Cr) nanoadsorbent for extraction nickel in water and wastewater samples <p>A novel sorbent based on MIL-101(Cr) nanoadsorbent as MOF structure was used for nickel extraction from water and wastewater samples. In this study, 30 mg of MIL-101(Cr) nanoadsorbent dispersed in 50 mL of water or wastewater samples, after sonication and adjusting pH =8.5, the nickel ions was extracted by carboxyl groups of terephthalic acid (MOF-(C6H4 (COO)-2…. Ni2+) by dispersive suspension micro solid phase extraction (DS-μ-SPE).The MOF was separated from liquid phase with filter membrane (0.2 μm), eluted with 0.5 mL of nitric acid as back-extraction solution and finally, the nickel concentration in eluent determined by atom trap-flame atomic absorption spectrometry (AT-FAAS) after dilution with DW up to 1 mL.The LOD, the linear range and preconcentration factor were achieved 1.5 µg L−1, 5-160 µg L−1 and 49.7, respectively.The absorption capacity of MOF for nickel was obtained 136.8 mg g-1.The results of procedure were validated by spiking of samples and ET-AAS analyzer.</p> Saeed Fakhraie, (Corresponding Author)*, Ali Ebrahimi ##submission.copyrightStatement## Sun, 28 Jun 2020 00:00:00 +0000 One-step synthesis of zinc-encapsulated MCM-41 as H2S adsorbent and optimization of adsorption parameters <p>The nano-sized structure of well-ordered Zn@MCM-41 adsorbent was synthesized through a direct hydrothermal method using CTAB as a structure-directing agent in an ammonia aqueous solution with different amounts of zinc acetylacetonate which were inserted into the structure-directing agent's loop during the synthesis. The XRD, HRTEM, and N<sub>2</sub> adsorption-desorption isotherms were used to characterize the prepared ZnO functionalized mesoporous silica samples. As a result, the presence of ZnO in highly-ordered MCM-41's pore was proved as well as maintenance of the ordered mesostructure of MCM-41. The materials were possessed with a high specific surface area (1114-509 m<sup>2</sup>.g<sup>-1</sup>) and a large pore diameter (4.03-3.27 nm). Based on the obtained results from the adsorption of H<sub>2</sub>S gas in a lab-made setup, the Znx@MCM-41 showed the superior ability to increase of ZnO amount up to 7 hours as a breakthrough point.&nbsp;</p> Nastaran Hazrati, Ali Akbar Miran Beigi, (Corresponding Author)*, Majid Abdouss, Amir Vahid ##submission.copyrightStatement## Mon, 29 Jun 2020 00:00:00 +0000 Aluminum separation from drinking water and serum samples based on djenkolic acid immobilized on the multi walled carbon nanotubes by ultrasound-assisted dispersive micro solid phase extraction <p>A new method for aluminum extraction from drinking water and human serum samples was used by djenkolic acid (DJKA)&nbsp;immobilized on multi-walled carbon nanotubes (MWCNTs-DJKA).&nbsp;&nbsp;&nbsp;In the optimized study, LOD, LOQ, &nbsp;the linear range, the working range, and the enrichment factor were obtained 0.1 µg L<sup>−1</sup>, 0.3 µg L<sup>−1</sup>, 0.3-12.8 µg L<sup>−1</sup>, 0.3-30.7 µg L<sup>−1</sup> and 9.92, respectively (RSD&lt; 5%). The adsorption capacity of the MWCNTs-DJKA and MWCNTs sorbent was achieved 122.6 mg g<sup>-1</sup> and 33.7 mg g<sup>-1</sup> in the batch system for 20 min, respectively. The mean aluminum in drinking water and serum samples were obtained 48.56 ± 2.92 and 11.64 ± 0.73 which was lower than the reference value in drinking water and human biological samples. The method was validated by spiking samples and standard reference materials (SRM) in water and human biological samples.&nbsp;</p> farnaz hosseini, Sara Davari ##submission.copyrightStatement## Mon, 29 Jun 2020 00:00:00 +0000 A review: Methods for removal and adsorption of volatile organic compounds from environmental matrixes <p>The volatile organic compounds (VOCs) have toxic effect on human health and environmental matrixes. So, determination and removal VOCs from the environmental samples such as water, wastewater and air are very important as toxicology effect on humans. Many chemistry techniques such as; analytical methods for sorbents (extraction, adsorption), sole gel method, pervaporation, regenerative catalytic oxidation (RCO), recuperative catalytic oxidation (CO), adsorptive concentration-catalytic oxidation, photocatalytic oxidation (PCO), ozonation-catalytic oxidation and non-thermal plasma-catalytic oxidation, were used for removal and decreasing of VOCs from different matrix. This review study introduces the adsorbents and applied chemistry methods which were recently used in different works for removal of VOCs in air or water samples by scientists.</p> Shahnaz Teimoori, Amir Hessam Hassani, (Corresponding Author)*, Mostafa Panahi, Nabiollah Mansouri ##submission.copyrightStatement## Tue, 30 Jun 2020 00:00:00 +0000