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Chen J, Yao N, Tang Y, Xie L, Zhuo X, Jiang Z. Functional UiO-66 for highly selective adsorption of N-nitrosodipropylamine: adsorption performance and mechanisms. Dalton Trans 2024; 53:5900-5910. [PMID: 38450710 DOI: 10.1039/d3dt03058j] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/08/2024]
Abstract
N-Nitrosodipropylamine (NDPA) is a class of nitrogenous disinfection by-products (N-DBPs) with high toxicity. Although NDPA present in water bodies is at relatively low concentrations, the potential risk is high due to its high toxicity and bioaccumulation. Metal-organic frameworks (MOFs), a new type of porous material with remarkable functionality, have shown great performance in a wide variety of applications in adsorption. This is the first study investigating the adsorption of MOFs on NDPA. Herein, UiO-66 with -NH2 and imidazolium functional groups were synthesized by modifying UiO-66 after amination. Adsorption kinetics and isotherm models were used to compare the adsorption properties of the two materials for low-concentration NDPA in water. The results showed that the behavior of all the adsorbents was consistent with the Langmuir model and the pseudo-second-order model and that the adsorption was homogeneous chemisorption. The structures of the nanoparticles were characterized by FTIR, zeta potential, XRD, SEM and BET measurements. Based on the characteristics, four adsorption mechanisms, namely electron conjugation, coordination reaction, anion-π interaction, and van der Waals forces, were simultaneously involved in the adsorption. The influencing factor experiment revealed that the adsorption of UiO-66-NH2 and (I-)Meim-UiO-66 involved hydrogen bonding and electrostatic interactions, respectively.
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Affiliation(s)
- Jinfeng Chen
- College of Ecological Environment and Urban Construction, Fujian University of Technology, Fuzhou, Fujian 350118, China.
- Fujian Engineering Research Center of Water Pollution Control and System Intelligence Technology, Fuzhou, Fujian 350118, China
| | - Ning Yao
- College of Ecological Environment and Urban Construction, Fujian University of Technology, Fuzhou, Fujian 350118, China.
- Fujian Engineering Research Center of Water Pollution Control and System Intelligence Technology, Fuzhou, Fujian 350118, China
| | - Yi Tang
- College of Ecological Environment and Urban Construction, Fujian University of Technology, Fuzhou, Fujian 350118, China.
- Fujian Engineering Research Center of Water Pollution Control and System Intelligence Technology, Fuzhou, Fujian 350118, China
| | - Letian Xie
- College of Ecological Environment and Urban Construction, Fujian University of Technology, Fuzhou, Fujian 350118, China.
- Fujian Engineering Research Center of Water Pollution Control and System Intelligence Technology, Fuzhou, Fujian 350118, China
| | - Xiong Zhuo
- Fuzhou City Construction Design & Research Institute Co., Ltd., Fuzhou, Fujian 350001, China
| | - Zhuwu Jiang
- College of Ecological Environment and Urban Construction, Fujian University of Technology, Fuzhou, Fujian 350118, China.
- Fujian Engineering Research Center of Water Pollution Control and System Intelligence Technology, Fuzhou, Fujian 350118, China
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Płotka-Wasylka J, Jatkowska N, Paszkiewicz M, Caban M, Fares MY, Dogan A, Garrigues S, Manousi N, Kalogiouri N, Nowak PM, Samanidou VF, de la Guardia M. Miniaturized Solid Phase Extraction techniques for different kind of pollutants analysis: State of the art and future perspectives – PART 1. Trends Analyt Chem 2023. [DOI: 10.1016/j.trac.2023.117034] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/30/2023]
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Tyhali A, Forbes PB. N − nitrosamines in surface and drinking waters: An African status report. Trends Analyt Chem 2022. [DOI: 10.1016/j.trac.2022.116873] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
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He M, Wang Y, Zhang Q, Zang L, Chen B, Hu B. Stir bar sorptive extraction and its application. J Chromatogr A 2020; 1637:461810. [PMID: 33360434 DOI: 10.1016/j.chroma.2020.461810] [Citation(s) in RCA: 40] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2020] [Revised: 12/08/2020] [Accepted: 12/09/2020] [Indexed: 12/16/2022]
Abstract
Recent progress of stir bar sorptive extraction (SBSE) in the past six years is reviewed. The preparation methods including electrodeposition, self-assembly, solvent exchange, physical magnetic adsorption and electrostatic spinning, for the coated stir bar are summarized and compared, specifically for a specific material for coatings fabrication, e.g., carbon-based materials and metal organic frameworks. The emerging materials (e.g., graphene, graphene oxide, carbon nanotubes, monolith, metal-organic frameworks and porous organic polymers) applied for coated stir bar fabrication are one of the focus of this review, along with their respective advantages in extraction process and application in trace analysis. The development and application of extraction apparatus of SBSE are also involved. Based on these information, the development status and prospects of SBSE as an efficient sample pretreatment technique in real sample analysis are discussed.
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Affiliation(s)
- Man He
- Key Laboratory of Analytical Chemistry for Biology and Medicine (Ministry of Education), Department of Chemistry, Wuhan University, Wuhan 430072, China
| | - Yuxin Wang
- Key Laboratory of Analytical Chemistry for Biology and Medicine (Ministry of Education), Department of Chemistry, Wuhan University, Wuhan 430072, China
| | - Qiulin Zhang
- Key Laboratory of Analytical Chemistry for Biology and Medicine (Ministry of Education), Department of Chemistry, Wuhan University, Wuhan 430072, China
| | - Lijuan Zang
- Key Laboratory of Analytical Chemistry for Biology and Medicine (Ministry of Education), Department of Chemistry, Wuhan University, Wuhan 430072, China
| | - Beibei Chen
- Key Laboratory of Analytical Chemistry for Biology and Medicine (Ministry of Education), Department of Chemistry, Wuhan University, Wuhan 430072, China
| | - Bin Hu
- Key Laboratory of Analytical Chemistry for Biology and Medicine (Ministry of Education), Department of Chemistry, Wuhan University, Wuhan 430072, China.
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Skaggs CS, Logue BA. Ultratrace analysis of atrazine in soil using Ice Concentration Linked with Extractive Stirrer and High Performance Liquid Chromatography-Tandem Mass Spectrometry. J Chromatogr A 2020; 1635:461753. [PMID: 33285417 DOI: 10.1016/j.chroma.2020.461753] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2020] [Revised: 11/18/2020] [Accepted: 11/23/2020] [Indexed: 11/19/2022]
Abstract
Atrazine is a widely-used pesticide with a relatively long half-life in the environment. This leads to persistent soil contamination with the potential of migration to ground and surface waters. Analysis of atrazine in soil is difficult due to the inherent complexity of soil as a sample matrix. Moreover, the moderate hydrophobicity of atrazine makes it difficult to extract into typical sorbent phases during sample preparation. Therefore, a method for the ultratrace determination of atrazine in soil using Ice Concentration Linked with Extractive Stirrer (ICECLES) and high performance liquid chromatography-tandem mass spectrometry (HPLC-MS/MS) was developed to address these issues. For the method, soil samples (10 g) were initially extracted with methanol:water (8:2, v:v), followed by solvent exchange to 100% water. The samples then underwent ICECLES with back-extraction into 100% methanol prior to HPLC-MS/MS analysis. The ICECLES-HPLC-MS/MS method produced a wide linear range of 10 to 1000 ng/kg, featured excellent limits of quantification and detection of 10 and 5 ng/kg, respectively, and good accuracy (100 ± 12%) and precision (≤9.6% relative standard deviation). This method was tested on field soil samples and provided ultratrace detection of atrazine. With this method, previously unachievable low parts per trillion (ppt) detection of atrazine in soil is now possible.
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Affiliation(s)
- Christopher S Skaggs
- Department of Chemistry and Biochemistry, South Dakota State University, Brookings, South Dakota, USA; SGS North America, Inc., GLP Residue Chemistry, Brookings, South Dakota, USA
| | - Brian A Logue
- Department of Chemistry and Biochemistry, South Dakota State University, Brookings, South Dakota, USA.
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