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Shan X, Zhang L, Ye H, Shao J, Shi Y, Tan S, Su K, Zhang L, Cao C. Magnetic solid phase extraction of lead ion from water samples with humic acid modified magnetic nanoparticles prior to its fame atomic absorption spectrometric detection. Microchem J 2022. [DOI: 10.1016/j.microc.2022.107417] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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Emmons RV, Shyam Sunder GS, Liden T, Schug KA, Asfaha TY, Lawrence JG, Kirchhoff JR, Gionfriddo E. Unraveling the Complex Composition of Produced Water by Specialized Extraction Methodologies. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2022; 56:2334-2344. [PMID: 35080868 DOI: 10.1021/acs.est.1c05826] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
Produced water (PW), a waste byproduct of oil and gas extraction, is a complex mixture containing numerous organic solubles and elemental species; these constituents range from polycyclic aromatic hydrocarbons to naturally occurring radioactive materials. Identification of these compounds is critical in developing reuse and disposal protocols to minimize environmental contamination and health risks. In this study, versatile extraction methodologies were investigated for the untargeted analysis of PW. Thin-film solid-phase microextraction with hydrophilic-lipophilic balance particles was utilized for the extraction of organic solubles from eight PW samples from the Permian Basin and Eagle Ford formation in Texas. Gas chromatography-mass spectrometry analysis found a total of 266 different organic constituents including 1,4-dioxane, atrazine, pyridine, and PAHs. The elemental composition of PW was evaluated using dispersive solid-phase extraction followed by inductively coupled plasma-mass spectrometry, utilizing a new coordinating sorbent, poly(pyrrole-1-carboxylic acid). This confirmed the presence of 29 elements including rare earth elements, as well as hazardous metals such as Cr, Cd, Pb, and U. Utilizing chemometric analysis, both approaches facilitated the discrimination of each PW sample based on their geochemical origin with a prediction accuracy above 90% using partial least-squares-discriminant analysis, paving the way for PW origin tracing in the environment.
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Affiliation(s)
- Ronald V Emmons
- Department of Chemistry and Biochemistry, The University of Toledo, Toledo, Ohio 43606, United States
- Dr. Nina McClelland Laboratory for Water Chemistry and Environmental Analysis, Department of Chemistry and Biochemistry, The University of Toledo, Toledo, Ohio 43606, United States
| | - Govind Sharma Shyam Sunder
- Department of Chemistry and Biochemistry, The University of Toledo, Toledo, Ohio 43606, United States
- Dr. Nina McClelland Laboratory for Water Chemistry and Environmental Analysis, Department of Chemistry and Biochemistry, The University of Toledo, Toledo, Ohio 43606, United States
- School of Green Chemistry and Engineering, The University of Toledo, Toledo, Ohio 43606, United States
| | - Tiffany Liden
- Department of Chemistry and Biochemistry, The University of Texas at Arlington, Arlington, Texas 76019, United States
| | - Kevin A Schug
- Department of Chemistry and Biochemistry, The University of Texas at Arlington, Arlington, Texas 76019, United States
- Collaborative Laboratories for Environmental Analysis and Remediation, The University of Texas at Arlington, Arlington, Texas 76019, United States
| | - Timnit Yosef Asfaha
- Center for Materials and Sensor Characterization, College of Engineering, The University of Toledo, Toledo, Ohio 43606, United States
| | - Joseph G Lawrence
- Center for Materials and Sensor Characterization, College of Engineering, The University of Toledo, Toledo, Ohio 43606, United States
| | - Jon R Kirchhoff
- Department of Chemistry and Biochemistry, The University of Toledo, Toledo, Ohio 43606, United States
- Dr. Nina McClelland Laboratory for Water Chemistry and Environmental Analysis, Department of Chemistry and Biochemistry, The University of Toledo, Toledo, Ohio 43606, United States
- School of Green Chemistry and Engineering, The University of Toledo, Toledo, Ohio 43606, United States
| | - Emanuela Gionfriddo
- Department of Chemistry and Biochemistry, The University of Toledo, Toledo, Ohio 43606, United States
- Dr. Nina McClelland Laboratory for Water Chemistry and Environmental Analysis, Department of Chemistry and Biochemistry, The University of Toledo, Toledo, Ohio 43606, United States
- School of Green Chemistry and Engineering, The University of Toledo, Toledo, Ohio 43606, United States
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Ozdes D, Duran C. Preparation of melon peel biochar/CoFe 2O 4 as a new adsorbent for the separation and preconcentration of Cu(II), Cd(II), and Pb(II) ions by solid-phase extraction in water and vegetable samples. ENVIRONMENTAL MONITORING AND ASSESSMENT 2021; 193:642. [PMID: 34508274 DOI: 10.1007/s10661-021-09389-0] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/02/2021] [Accepted: 08/10/2021] [Indexed: 06/13/2023]
Abstract
The present research describes the successful preparation of melon peel biochar modified with CoFe2O4 (MPBC/CoFe2O4) followed by its usage as a new sorbent to separate, preconcentrate, and determine the toxic heavy metal ions by magnetic solid-phase extraction. The metal ion desorption was performed by 0.1 M HCl solution with a volume of 5.0 mL. Flame atomic absorption spectrometry (FAAS) was utilized for detection of the analyte levels. SEM-EDX, TEM, XRD, and FTIR techniques were carried out to illuminate the structure of MPBC/CoFe2O4. The fundamental variables affecting the adsorption and elution efficiencies of the analyte ions including solution pH, MPBC/CoFe2O4 amount, type and concentration of eluent, adsorption and desorption equilibrium time, and sample volume were optimized. The detection limits were calculated as 0.41, 1.82, and 3.16 µg L-1 for Cu2+, Cd2+, and Pb2+ ions, respectively, with the relative standard deviation of lower than 4.2%. There were no substantial interference effects on the analyte ion recovery due to the presence of foreign ions at high levels. Five minutes of contact time was adequate to attain the adsorption equilibrium. The adsorption capacity of MPBC/CoFe2O4 was obtained as 106.4, 65.4, and 188.7 mg g-1 for Cu2+, Cd2+, and Pb2+ ions, respectively, by utilizing Langmuir isotherm model. The pseudo-second order model is favorable to identify the adsorption kinetics. The method was validated by spike/recovery test, and then, it was successfully implemented to determine the aforementioned analyte levels in sea and stream water, pepper, black cabbage, eggplant, and tomato samples.
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Affiliation(s)
- Duygu Ozdes
- Gumushane Vocational School, Chemistry and Chemical Processing Technologies Department, Gumushane University, 29100, Gumushane, Turkey
| | - Celal Duran
- Faculty of Sciences, Department of Chemistry, Karadeniz Technical University, 61080, Trabzon, Turkey.
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Pan F, Tong C, Wang Z, Han H, Liu P, Pan D, Zhu R. Nanocomposite based on graphene and intercalated covalent organic frameworks with hydrosulphonyl groups for electrochemical determination of heavy metal ions. Mikrochim Acta 2021; 188:295. [PMID: 34379203 DOI: 10.1007/s00604-021-04956-1] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2021] [Accepted: 07/24/2021] [Indexed: 11/29/2022]
Abstract
An electrochemical sensor constructed by intercalated composites was developed for determination of heavy metal ions. The intercalated composites were composed of hydrosulphonyl functional covalent organic frameworks (COF-SH) and graphene (G). The presence of numerous adsorption sites, such as 18 sulfur atoms and 30 nitrogen atoms per big circle of COFs on COF-SH, was beneficial for the accumulation of heavy metals, while the graphene enhanced the electrical conductivity. The obtained sensor under the optimal conditions successfully detected the presence of heavy metal ions in coastal water samples at concentrations ranging from 1 to 1000 μg L-1. The detection limits of Cd (II), Pb (II), Cu (II), and Hg (II) were 0.3, 0.2, 0.2, and 1.1 μg L-1, respectively. Furthermore, the sensor still exhibited good stability after multiple uses less than 5%. When it is used in the analysis of actual samples, the recovery of standard addition is higher than 95%. In sum, the combination of hydrosulphonyl functional COFs with graphene looks very promising for the assembly of sensors with high sensitivity toward the determination of heavy metal ions for coastal environmental monitoring.
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Affiliation(s)
- Fei Pan
- CAS Key Laboratory of Coastal Environmental Processes and Ecological Remediation, Shandong Key Laboratory of Coastal Environmental Processes, Research Center for Coastal Environment Engineering Technology of Shandong Province, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Chunhui Rd 17, Laishan District, Yantai, Shandong Province, 264003, People's Republic of China.,University of Chinese Academy of Sciences, Beijing, 100049, People's Republic of China.,College of Chemistry and Chemical Engineering, Advanced Catalytic Engineering Research Center of the Ministry of Education, Hunan University, Lushan Rd (S), Yuelu District, Changsha, Hunan Province, 410082, People's Republic of China
| | - Chunyi Tong
- College of Biology, Hunan University, Changsha, 410082, People's Republic of China
| | - Zhaoyang Wang
- College of Chemistry and Chemical Engineering, Advanced Catalytic Engineering Research Center of the Ministry of Education, Hunan University, Lushan Rd (S), Yuelu District, Changsha, Hunan Province, 410082, People's Republic of China
| | - Haitao Han
- CAS Key Laboratory of Coastal Environmental Processes and Ecological Remediation, Shandong Key Laboratory of Coastal Environmental Processes, Research Center for Coastal Environment Engineering Technology of Shandong Province, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Chunhui Rd 17, Laishan District, Yantai, Shandong Province, 264003, People's Republic of China
| | - Pei Liu
- State Environmental Protection Key Laboratory of Monitoring for Heavy Metal Pollutants, Hunan Ecological Environment Monitoring Center, Changsha, 410082, People's Republic of China
| | - Dawei Pan
- CAS Key Laboratory of Coastal Environmental Processes and Ecological Remediation, Shandong Key Laboratory of Coastal Environmental Processes, Research Center for Coastal Environment Engineering Technology of Shandong Province, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Chunhui Rd 17, Laishan District, Yantai, Shandong Province, 264003, People's Republic of China.
| | - Rilong Zhu
- College of Chemistry and Chemical Engineering, Advanced Catalytic Engineering Research Center of the Ministry of Education, Hunan University, Lushan Rd (S), Yuelu District, Changsha, Hunan Province, 410082, People's Republic of China.
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Qin J, Su Z, Mao Y, Liu C, Qi B, Fang G, Wang S. Carboxyl-functionalized hollow polymer microspheres for detection of trace metal elements in complex food matrixes by ICP-MS assisted with solid-phase extraction. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2021; 208:111729. [PMID: 33396060 DOI: 10.1016/j.ecoenv.2020.111729] [Citation(s) in RCA: 26] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/31/2020] [Revised: 11/21/2020] [Accepted: 11/25/2020] [Indexed: 06/12/2023]
Abstract
In this work, carboxyl-functionalized hollow polymer microspheres (CHPMs) was successfully fabricated using poly (styrene-itaconic anhydride) particles as the core template and itaconic anhydride and trans-anethole cross-linked with divinylbenzene as the shell. The desirable microspheres and hollow structure of CHPMs were demonstrated by scanning and transmission electron microscopies, respectively. The characterized CHPMs as an adsorbent was packed into a solid phase extraction column to simultaneously detect the V(V), Cr(III), Cu(II), Cd(II), and Pb(II) in digested food samples by inductively coupled plasma-mass spectrometry (ICP-MS). A series of experimental parameters of solid-phase extraction (SPE) were investigated through vast experiments to improve sensitivity of the proposed method in metal ions detection. The detection limits of the method reached 0.8-3.2 ng L-1 for the target elements, and the relative standard deviations (RSDs) ranging from 1.2% to 3.5% were obtained from eleven parallel experiments using a 1.0 μg L-1 sample solution. The stability allowed the material to withstand more than 15 cycling while the recoveries remained above 88%. In food samples, the detection limits were at 0.20-0.80 μg kg-1, and satisfactory recoveries of 85-104% were obtained in spike tests of laver, fish as well as chicken.
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Affiliation(s)
- Jiaxing Qin
- State Key Laboratory of Food Nutrition and Safety, Tianjin University of Science and Technology, Tianjin 300457, China
| | - Zheng Su
- State Key Laboratory of Food Nutrition and Safety, Tianjin University of Science and Technology, Tianjin 300457, China
| | - Yuehui Mao
- State Key Laboratory of Food Nutrition and Safety, Tianjin University of Science and Technology, Tianjin 300457, China
| | - Cuicui Liu
- College of Food Science and Bioengineering, Tianjin Agricultural University, Tianjin 300384, China
| | - Bin Qi
- College of Food Science and Bioengineering, Tianjin Agricultural University, Tianjin 300384, China
| | - Guozhen Fang
- State Key Laboratory of Food Nutrition and Safety, Tianjin University of Science and Technology, Tianjin 300457, China.
| | - Shuo Wang
- State Key Laboratory of Food Nutrition and Safety, Tianjin University of Science and Technology, Tianjin 300457, China; Research Center of Food Science and Human Health, School of Medicine, Nankai University, Tianjin 300071, China.
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