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Haghighi M, Moradi S, Nowroozi A, Tahmasbi M, Naseri MJ, Karami K, Shahlaei M. Determining the stoichiometry and binding constant of Lamotrigine with human serum albumin using voltammetry analysis and molecular modeling. J Biomol Struct Dyn 2023; 41:10117-10124. [PMID: 36476279 DOI: 10.1080/07391102.2022.2153170] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2022] [Accepted: 11/24/2022] [Indexed: 12/12/2022]
Abstract
In this study, the interaction of an anticonvulsant drug that used in the treatment of epilepsy, Lamotrigine (LTG) with the most important transport protein of the blood, human serum albumin (HSA) has been studied by using the electrochemical methods and molecular modeling techniques. For this purpose, a simple carbon paste electrode (CPE) was applied for electrocatalytic oxidation and investigation of LTG interaction with HSA. The stoichiometry of the complex between LTG and HSA and the binding constant (Kb) of the reaction were calculated from the calibration curves. The results show that binding of LTG to HSA formed two complexes with different stoichiometries with Kb1 (2.46 × 103) and Kb2 (1.75 × 107), respectively. In agreement with the experimental data, molecular modeling approach also confirmed that LTG can bind to the subdomain IIA and IB of HSA.Communicated by Ramaswamy H. Sarma.
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Affiliation(s)
- Maryam Haghighi
- Nano Drug Delivery Research Center, Health Technology Institute, Kermanshah University of Medical Sciences, Kermanshah, Iran
| | - Sajad Moradi
- Nano Drug Delivery Research Center, Health Technology Institute, Kermanshah University of Medical Sciences, Kermanshah, Iran
| | - Amin Nowroozi
- Pharmaceutical Sciences Research Center, Health Institute, Kermanshah University of Medical Sciences, Kermanshah, Iran
| | - Meisam Tahmasbi
- Electrical Engineering Department, South Tehran Branch, Islamic Azad University, Tehran
| | - Mohamad Javad Naseri
- Nano Drug Delivery Research Center, Health Technology Institute, Kermanshah University of Medical Sciences, Kermanshah, Iran
| | - Kasra Karami
- Nano Drug Delivery Research Center, Health Technology Institute, Kermanshah University of Medical Sciences, Kermanshah, Iran
| | - Mohsen Shahlaei
- Nano Drug Delivery Research Center, Health Technology Institute, Kermanshah University of Medical Sciences, Kermanshah, Iran
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Zhang C, Qiu M, Wang J, Liu Y. Recent Advances in Nanoparticle-Based Optical Sensors for Detection of Pesticide Residues in Soil. BIOSENSORS 2023; 13:bios13040415. [PMID: 37185490 PMCID: PMC10136432 DOI: 10.3390/bios13040415] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/31/2023] [Revised: 03/11/2023] [Accepted: 03/17/2023] [Indexed: 05/17/2023]
Abstract
The excessive and unreasonable use of pesticides has adversely affected the environment and human health. The soil, one of the most critical natural resources supporting human survival and development, accumulates large amounts of pesticide residues. Compared to traditional spectrophotometry analytical methods, nanoparticle-based sensors stand out for their simplicity of operation as well as their high sensitivity and low detection limits. In this review, we focus primarily on the functions that various nanoparticles have and how they can be used to detect various pesticide residues in soil. A detailed discussion was conducted on the properties of nanoparticles, including their color changeability, Raman enhancement, fluorescence enhancement and quenching, and catalysis. We have also systematically reviewed the methodology for detecting insecticides, herbicides, and fungicides in soil by using nanoparticles.
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Affiliation(s)
- Chunhong Zhang
- Xi'an Key Laboratory of Advanced Control and Intelligent Process, School of Automation, Xi'an University of Posts & Telecommunications, Xi'an 710121, China
| | - Mingle Qiu
- Xi'an Key Laboratory of Advanced Control and Intelligent Process, School of Automation, Xi'an University of Posts & Telecommunications, Xi'an 710121, China
| | - Jinglin Wang
- Key Laboratory of Applied Surface and Colloid Chemistry, Ministry of Education, School of Chemistry and Chemical Engineering, Shaanxi Normal University, Xi'an 710062, China
| | - Yongchun Liu
- Key Laboratory of Applied Surface and Colloid Chemistry, Ministry of Education, School of Chemistry and Chemical Engineering, Shaanxi Normal University, Xi'an 710062, China
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Salimian M, Reza Sohrabi M, Mortazavinik S. Application of net analyte signal and principal component regression for rapid simultaneous determination of Levodopa and carbidopa in commercial pharmaceutical formulation and breast (human) milk sample using spectrophotometric method. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2022; 283:121741. [PMID: 35994995 DOI: 10.1016/j.saa.2022.121741] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/08/2022] [Revised: 08/02/2022] [Accepted: 08/08/2022] [Indexed: 06/15/2023]
Abstract
In this study, a UV-vis spectrophotometric method coupled with net analyte signal (NAS) and principal component regression (PCR) as multivariate calibration methods were used for the simultaneous determination of levodopa (LEV) and carbidopa (CBD) in prepared mixtures, pharmaceutical formulation, and breast milk sample. The mean recovery of the NAS model was 98.10% and 99.60% for LEV and CBD, respectively. Also, the relative standard deviation (RSD%) values were found to be lower than 5.5% and 4% for LEV and CBD, respectively. On the other hand, the mean recovery of LEV and CBD related to the PCR method was obtained at 96.86% and 92.43%, respectively. K-Fold cross-validation was used to estimate the number of components, which was 7 and 3 with a mean square error prediction (MSEP) of 1.50 and 7.14 for LEV and CBD, respectively. The results revealed that the NAS model was better than the PCR model. Additionally, the proposed NAS-based calibration method was successfully developed for the simultaneous analyses of LEV and CBD in a commercial tablet and breast milk.
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Affiliation(s)
- Masoumeh Salimian
- Department of Chemistry, Islamic Azad University, North Tehran Branch, Tehran, Iran
| | - Mahmoud Reza Sohrabi
- Department of Chemistry, Islamic Azad University, North Tehran Branch, Tehran, Iran.
| | - Saeed Mortazavinik
- Department of Chemistry, Islamic Azad University, North Tehran Branch, Tehran, Iran
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A chemiluminescent probe for highly sensitive detection of trifluralin based on cobalt ion-complexed boron nitride quantum dots as efficient nanocatalysts. Microchem J 2022. [DOI: 10.1016/j.microc.2022.107759] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
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Haghighi M, Rezaei M, Sariaslani P, Moradi S, Shahlaei M. Sensitive electrochemical sensor for lamotrigine based on modified carbon paste electrode. MONATSHEFTE FUR CHEMIE 2021. [DOI: 10.1007/s00706-021-02811-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
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Gege Ü, Karakaya S, Dilgin Y. Sensitive Electrochemical Determination of Trifluralin at a Disposable Pencil Graphite Electrode. ELECTROANAL 2021. [DOI: 10.1002/elan.202060618] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/28/2023]
Affiliation(s)
- Ümit Gege
- Department of Chemistry Faculty of Arts and Sciences Çanakkale Onsekiz Mart University 17100 Çanakkale Turkey
| | - Serkan Karakaya
- Department of Chemistry Faculty of Arts and Sciences Çanakkale Onsekiz Mart University 17100 Çanakkale Turkey
| | - Yusuf Dilgin
- Department of Chemistry Faculty of Arts and Sciences Çanakkale Onsekiz Mart University 17100 Çanakkale Turkey
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Photocatalytic Degradation of Trifluralin in Aqueous Solutions by UV/S2O82− and UV/ZnO Processes: A Comparison of Removal Efficiency and Cost Estimation. INTERNATIONAL JOURNAL OF CHEMICAL ENGINEERING 2021. [DOI: 10.1155/2021/9964291] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
Trifluralin is one of the most widely used herbicides, being accounted as the cause of cancer in human. In the present research, the UV/S2O82− and ZnO/UV processes’ efficiency in the removal of trifluralin was investigated. A lab scale equipped with a UV lamp was applied. The parameters were studied, including initial trifluralin concentration (0.4–1.2 mg/L), contact time (20–60 min), S2O82− concentration (20–60 μM), and ZnO concentration (50–150 mg/L). The remained trifluralin concentration was measured by HPLC. This study proved the trifluralin removal of 92.90 ± 1.6% and 87.91 ± 19.22% for UV/S2O82− and UV/ZnO processes in the best operation conditions (contact time of 60 min, the persulfate concentration of 40 μM, and the ZnO concentration of 100 mg/L). The optimal trifluraline concentrations were 1.2 mg/L and 0.6 mg/L for UV/S2O82− and UV/ZnO processes, respectively. In both processes, the removal efficiency of trifluralin increased significantly with increasing contact time. The findings exhibited that both processes UV/S2O82− and UV/ZnO followed the zero-order kinetic. The electrical energy consumed of UV/S2O82 and UV/ZnO was about 43.95 and 20.41 Kwh/kg, respectively. The results show that UV/S2O82− and ZnO/UV processes were appropriate as the effective treatment method for trifluralin removal. Therefore, it is proposed to study the performance of these processes as an environmentally friendly practice in full scale with real wastewater.
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Li C, Begum A, Xue J. Analytical methods to analyze pesticides and herbicides. WATER ENVIRONMENT RESEARCH : A RESEARCH PUBLICATION OF THE WATER ENVIRONMENT FEDERATION 2020; 92:1770-1785. [PMID: 32762111 DOI: 10.1002/wer.1431] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/30/2020] [Revised: 07/10/2020] [Accepted: 07/30/2020] [Indexed: 06/11/2023]
Abstract
This paper reviews studies published in 2019, in the area of analytical techniques for determination of pesticides and herbicides. It should be noted that some of the reports summarized in this review are not directly related to but could potentially be used for water environment studies. Based on different methods, the literatures are organized into six sections, namely extraction methods, electrochemical techniques, spectrophotometric techniques, chemiluminescence and fluorescence methods, chromatographic and mass spectrometric techniques, and biochemical assays. PRACTITIONER POINTS: Totally 141 research articles have been summarized. The review is divided into six parts. Chromatographic and mass spectrometric techniques are the most widely used methods.
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Affiliation(s)
- Chao Li
- College of Food and Pharmaceutical Sciences, Ningbo University, Ningbo, China
| | - Afruza Begum
- Environmental Systems Engineering, Faculty of Engineering and Applied Science, University of Regina, Regina, Canada
| | - Jinkai Xue
- Environmental Systems Engineering, Faculty of Engineering and Applied Science, University of Regina, Regina, Canada
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Yousefi N, Irandoust M, Haghighi M. New and sensitive magnetic carbon paste electrode for voltammetry determination of morphine and methadone. JOURNAL OF THE IRANIAN CHEMICAL SOCIETY 2020. [DOI: 10.1007/s13738-020-01962-7] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
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Lai Z, Guo X, Cheng Z, Ruan G, Du F. Green Synthesis of Fluorescent Carbon Dots from Cherry Tomatoes for Highly Effective Detection of Trifluralin Herbicide in Soil Samples. ChemistrySelect 2020. [DOI: 10.1002/slct.201904517] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Affiliation(s)
- Zhan Lai
- Guangxi Key Laboratory of Electrochemical and Magnetochemical Functional Materials College of Chemistry and Bioengineering Guilin University of Technology Guilin 541004 China
| | - Xinyuan Guo
- Guangxi Key Laboratory of Electrochemical and Magnetochemical Functional Materials College of Chemistry and Bioengineering Guilin University of Technology Guilin 541004 China
| | - Zhenfang Cheng
- Guangxi Key Laboratory of Electrochemical and Magnetochemical Functional Materials College of Chemistry and Bioengineering Guilin University of Technology Guilin 541004 China
| | - Guihua Ruan
- Guangxi Key Laboratory of Electrochemical and Magnetochemical Functional Materials College of Chemistry and Bioengineering Guilin University of Technology Guilin 541004 China
| | - Fuyou Du
- Guangxi Key Laboratory of Electrochemical and Magnetochemical Functional Materials College of Chemistry and Bioengineering Guilin University of Technology Guilin 541004 China
- College of Biological and Environmental Engineering Changsha University Changsha 410022 PR China
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