Article
Chemistry, Analytical
Abhijit Saha, Sadhan Bijoy Deb, Manoj Kumar Saxena
Summary: The separation of boron in nuclear fuels has been challenging due to the high acidity of the sample solutions. This study proposes a novel cloud point extraction (CPE) assisted colorimetric method for the quantification of traces of boron in uranium-based fuels. The addition of bromine water lowers the cloud point temperature and enables the quantitative recovery of boron. The method is suitable for direct quality assurance of routine uranium-based fuels.
Article
Biotechnology & Applied Microbiology
Pozzobon Victor, Cristobal Camarena-Bernard
Summary: A machine learning model was developed to quantify chlorophyll and carotenoids in algae simultaneously using spectrophotometric equations. The model was calibrated and validated, showing excellent accuracy and efficiency. The step-wise workflow presented in this study allows for easy adaptation by other researchers.
JOURNAL OF APPLIED PHYCOLOGY
(2023)
Article
Biochemical Research Methods
Ruoyu Tang, Xinyu He, Ruiqi Wang
Summary: The study presents a general computational method for constructing maps between different cell fates and parametric conditions by systematic perturbations. The method does not require accurate parameter measurements or bifurcations. The maps obtained can help in understanding how systematic perturbations drive cell fate decisions and transitions, providing valuable information for predicting and controlling cell states.
Article
Chemistry, Analytical
Mais Al-Nidawi, Ozgur Ozalp, Usama Alshana, Mustafa Soylak
Summary: Synergistic cloud point microextraction (SCPME) simplifies and accelerates traditional cloud point extraction (CPE) by using medium- to long-chain alcohols to reduce the cloud point temperature of the surfactant. SCPME-UV/Vis method was successfully applied for the extraction and determination of curcumin in food samples.
ANALYTICAL LETTERS
(2023)
Article
Spectroscopy
Petya Racheva, Nikolina P. Milcheva, Fatma Genc, Kiril B. Gavazov
Summary: A simple, cost-effective, and environmentally friendly cloud point extraction method was developed to concentrate traces of Cu(II) for spectrophotometric determination. The method is based on a complexation reaction with the hydrophobic azo reagent HTAR, with specific experimental conditions determined for optimal Cu(II) determination. The proposed procedure was successfully applied to water samples and saline solution analysis, showing practical value in real-world applications.
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
(2021)
Article
Chemistry, Physical
Nikolina P. Milcheva, Fatma Genc, Petya Racheva, Vassil B. Delchev, Vasil Andruch, Kiril B. Gavazov
Summary: A simple, low-cost, and environmentally friendly cloud point extraction method was developed for preconcentration of trace vanadium, followed by spectrophotometric determination. Optimal experimental conditions were determined for total vanadium determination, and the accuracy of the proposed method was verified through analysis of environmental matrix reference material. The greenness of the developed method was evaluated using the Green Analytical Procedure Index.
JOURNAL OF MOLECULAR LIQUIDS
(2021)
Article
Biochemistry & Molecular Biology
Kiril Blazhev Gavazov, Petya Racheva, Nikolina P. Milcheva, Vidka V. Divarova, Denitsa Dimitrova Kiradzhiyska, Fatma Genc, Antoaneta D. Saravanska
Summary: The hydrophobic azo dye HTAR was studied in the context of centrifuge-less cloud point extraction (CL-CPE) and spectrophotometric determination of cobalt traces. The developed method is simple, cheap, sensitive, convenient, and environmentally friendly.
Article
Automation & Control Systems
Valeh Arabzadeh, Mahmoud Reza Sohrabi
Summary: In this paper, chemometrics and spectrophotometry methods were used to simultaneously measure MET and PIO in Actoplus MET, without the need for separation steps. The results showed that the artificial neural network and partial least squares regression methods performed well in the measurement.
CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS
(2022)
Article
Computer Science, Artificial Intelligence
Yan Zhao, Wen Tang, Jun Feng, Tao Ruan Wan, Long Xi
Summary: Optimization algorithms based on learning play a critical role in solving problems with robustness and accuracy, with the key aspect being the least-squares method. The RDO method explores the impact and contributions of each component of the parameter vector by assigning different weights, leading to improved fitting results.
Article
Food Science & Technology
Annelisa Arruda de Brito, Fernanda Campos, Abadia dos Reis Nascimento, Gilmarcos de Carvalho Correa, Flavio Alves da Silva, Gustavo Henrique de Almeida Teixeira, Luis Carlos Cunha Junior
Summary: This study utilized partial least square models and near-infrared spectroscopy to analyze tomatoes from different regions, resulting in accurate prediction models for solid content in tomatoes.
Article
Automation & Control Systems
Masoud Shariati-Rad, Saeideh Heidari
Summary: This study utilized green-synthesized silver nanoparticles to determine the total hardness of water, with changes in UV-Vis absorption spectrum used to correlate with water hardness. A multivariate calibration method of partial least squares (PLS) was employed to construct a linear PLS model for predicting water hardness.
JOURNAL OF CHEMOMETRICS
(2021)
Article
Chemistry, Applied
Hong-Ju He, Yuling Wang, Xingqi Ou, Hanjun Ma, Hongjie Liu, Jianhua Yan
Summary: Hyperspectral data was analyzed to determine the chemical compositions of chicken flesh. Different PLS models were built using different spectral data and preprocessing methods, and the best models were identified for predicting moisture, protein, and ash contents. Optimal wavelengths were selected using different methods to simplify the models, and the optimized models showed improved performance. The study demonstrated the potential of hyperspectral data combined with PLS algorithm for predicting chicken flesh compositions.
JOURNAL OF FOOD COMPOSITION AND ANALYSIS
(2023)
Article
Automation & Control Systems
Zhonghao Xie, Xi'an Feng, Xiaojing Chen
Summary: This paper proposes a robust method for PLS based on the idea of least trimmed squares (LTS), which effectively deals with high-dimensional regressors. By formulating the LTS problem as a concave maximization problem, the complexity of solving LTS is simplified. The results from simulation and real data sets demonstrate the effectiveness and robustness of the proposed approach.
CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS
(2022)
Article
Spectroscopy
Gerard Dumancas, Indra Adrianto
Summary: This study developed a stacked regression ensemble approach using near infrared spectroscopic method for accurate determination of biomass compositional analyses. The performance of various machine learning techniques was compared, and the stacked regression outperformed other methods, providing a more accurate prediction of biomass compositions.
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
(2022)
Article
Engineering, Multidisciplinary
Yongbo Wang, Kun Yuan, Nanshan Zheng, Zhengfu Bian, Min Yang
Summary: The essence of point cloud registration is to estimate the seven similarity transformation parameters of the Bursa-Wolf model for relative position estimation. The prevalent Gauss-Markov model only considers random errors in one LiDAR station, leading to a significant inconsistency with reality. To address this, the EIV model is introduced with unit quaternions to describe 3D spatial rotation, and an iterative solution is discussed for accurate estimation. Detailed formulas for the seven transformation parameters are derived and verified through three experiments.
Article
Biochemical Research Methods
Ali Talesh Ramezani, Razieh Rabiei, Alireza Badiei, Ghodsi Mohammadi Ziarani, Jahan B. Ghasemi
Summary: A fluorescence probe based on 8-hydroxyquinoline chitosan silica precursor (HQCS) was designed for the selective detection of Al3+ and Cu2+. The probe exhibited a significant fluorescence signal upon the addition of Al3+ and selective quenching upon the addition of Cu2+. The probe showed a linear range and detection limit suitable for the determination of Cu2+ ions in real samples.
ANALYTICAL BIOCHEMISTRY
(2022)
Article
Chemistry, Physical
Reyhaneh Nekooie, Jahan B. B. Ghasemi, Alireza Badiei, Tayebeh Shamspur, Ali Mostafavi, Sahar Moradian
Summary: A g-C3N4/Cu/TiO2 nanocomposite photocatalyst was developed for the degradation of a highly toxic pesticide under visible light irradiation. The incorporation of Cu and TiO2 molecules onto g-C3N4 enhanced absorption in the visible region and improved the separation of photo-excited electron-holes. The nanocomposite showed excellent photocatalytic performance with a 60% degradation rate achieved after 80 minutes of irradiation.
JOURNAL OF MOLECULAR STRUCTURE
(2022)
Article
Materials Science, Multidisciplinary
Ghodsi Mohammadi Ziarani, Fatemeh Javadi, Fatemeh Mohajer, Maryam Anafcheh, Alireza Badiei, Jahan B. Ghasemi
Summary: The efficient synthesis of bispyrazole derivatives using Fe3O4@SiO2@Si-Pr-NH-(CH2)2NH2 as a nanomagnetic catalyst under solvent-free conditions was reported. A derivative of bispyrazole was found to act as a Fe3+ ion colorimetric chemosensor, showing a significant color change with high selectivity towards the addition of Fe3+ ion. The study also demonstrated the relationship between the structure of bispyrazoles and the formation of T-shaped conformations.
MATERIALS CHEMISTRY AND PHYSICS
(2022)
Article
Chemistry, Multidisciplinary
Mohammad Mehdi Habibi, Mitra Mousavi, Zahra Shadman, Jahan B. Ghasemi
Summary: In this study, a g-C3N4/MWO4 nanocomposite was prepared and demonstrated to have significant selectivity and sensitivity for H2O2 detection. The excellent electron transfer path and efficient capture of H2O2 are attributed to the synergistic effect between g-C3N4 and CuWO4 in the composite.
NEW JOURNAL OF CHEMISTRY
(2022)
Article
Chemistry, Analytical
Ensie Hosseini, Jahan B. Ghasemi, Maryam Shekarchi
Summary: The study developed an analytical method for the simultaneous detection and quantitative determination of three key adulterants in dietary food supplements. The proposed method benefits from optimization and calibration, yielding reliable results.
JOURNAL OF AOAC INTERNATIONAL
(2022)
Article
Automation & Control Systems
Shokoofeh Khani, Fatemeh Mohajer, Ghodsi Mohammadi Ziarani, Alireza Badiei, Jahan B. Ghasemi
Summary: A novel and biocompatible colorimetric method was developed for the detection and speciation of Fe3+ and Fe2+ ions. The method relies on the complex formation of these ions with organic compounds in pomegranate peel extract, and can accurately determine their concentrations in real matrix samples using a multivariate model based on absorption spectra. The detection limits for Fe3+ and Fe2+ were found to be 0.53 and 0.14 μg ml(-1), respectively.
JOURNAL OF CHEMOMETRICS
(2023)
Article
Materials Science, Multidisciplinary
Mitra Mousavi, Sahar Moradian, Pouran Pourhakkak, Gaoke Zhang, Mohammad Mehdi Habibi, Meisam Madadi, Jahan B. Ghasemi
Summary: In this research, novel g-C3N4-nanosheet/ZnMoO4 heterostructures were synthesized, which exhibited significant photocatalytic ability under visible-light irradiation, with 3.77 times and 4.89 times faster Cr(VI) reduction rate compared to g-C3N4-nanosheet and ZnMoO4, respectively, and produced a large amount of ammonium. This improved ability was attributed to increased visible-light absorption and low charge recombination rate.
JOURNAL OF MATERIALS SCIENCE
(2022)
Article
Chemistry, Multidisciplinary
Faezeh Farzin, Mohammad Kazem Rofouei, Mitra Mousavi, Jahan B. Ghasemi
Summary: This paper reports a green method for hydrogen peroxide production and organic pollutants removal using a two-dimensional nanocomposite. The results show that the prepared binary nanocomposite exhibits a high H2O2 production rate and degradation efficiency, and the Z-scheme-based charge-transfer dynamics effectively improve the photocatalytic performance.
JOURNAL OF PHYSICS AND CHEMISTRY OF SOLIDS
(2022)
Article
Chemistry, Physical
Mitra Mousavi, Mohammad Mehdi Habibi, Gaoke Zhang, Pouran Pourhakkak, Sahar B. Moradian, Jahan B. Ghasemi
Summary: In this study, an n-n heterojunction of ZnO/Sb2MoO6 was developed by a facile procedure and its photocatalytic ability for the N-2 fixation process was explored. The physicochemical analyses of ZnO and Sb2MoO6 in the pure samples and the junction material were conducted to understand their structural, chemical, optical, morphological, and textural features. The optimal performance was achieved with ZnO/Sb2MoO6 (20%) nanocomposite, which showed significantly higher ammonium generation compared to pure ZnO and Sb2MoO6. The research provides insights into achieving superior conversion efficiency in N-2 fixation reactions by utilizing the ZnO/Sb2MoO6 heterojunction.
SURFACES AND INTERFACES
(2022)
Article
Chemistry, Analytical
Nazir Fattahi, Meghdad Pirsaheb, Masoud Moradi, Ali Mohebbi, Pouya Karimi, Beshare Hashemi
Summary: A dispersive liquid-liquid microextraction method based on deep eutectic solvent (DES) was developed for the extraction of chlorophenols from water samples. The method showed good recovery and repeatability under optimized conditions.
MICROCHEMICAL JOURNAL
(2022)
Article
Chemistry, Analytical
Mohammad Hassanpour, Mojtaba Shamsipur, Nasrin Babajani, Fereshteh Shiri, Beshare Hashemi, Nazir Fattahi
Summary: A liquid-liquid microextraction method assisted by switchable deep eutectic solvents (DESs) was used to extract abamectin and endosulfan. Three different DESs were synthesized and their phase transition behavior was evaluated by changing the pH of the solution. The best DES, a mixture of l-menthol and (1S)-(+)-camphor-10-sulfonic acid (5:1), achieved the highest extraction yield and was used for the extraction of abamectin and endosulfan. By optimizing key variables, the method showed good analytical performance with linear concentration range and low detection limits for both analytes. The extraction efficiency of the best DES was examined for water and fruit juice samples under optimal conditions.
MICROCHEMICAL JOURNAL
(2023)
Review
Food Science & Technology
Fatemeh Barzegar, Samaneh Nabizadeh, Marzieh Kamankesh, Jahan B. Ghasemi, Abdorreza Mohammadi
Summary: The increase in chronic diseases worldwide is a cause for concern, largely due to synthetic additives in processed foods. These additives pose health risks and there is a demand for environmentally friendly, natural-based food additives that promote overall health. Nanoemulsion technology can enhance the solubility, stability, and bioavailability of these natural-based additives, making them potential next-generation food additives. This study provides an overview of the production and effects of natural-based food additives using nanotechnology approaches.
FOOD AND BIOPROCESS TECHNOLOGY
(2023)
Article
Chemistry, Multidisciplinary
Mitra Mousavi, Alireza Bonakdar, Anita Parsaei-Khomami, Jahan B. Ghasemi, Pouran Pourhakkak, Mohammad Mehdi Habibi, Mohammad Jafari, Amir H. Jalili, Xuanhua Li
Summary: The design of photocatalysts utilizing sunlight to generate ammonia and remove organic pollutants is important for sustainable chemical industry. A g-C3N4 nanosheet/AgBiS2 nanocomposite with visible-light response was successfully fabricated for the first time. The composite exhibited excellent photocatalytic activity for RhB degradation and N2 fixation, with significant improvements compared to g-C3N4 nanosheet and AgBiS2 alone. The improved activity was attributed to the suitable heterojunction formation, suppressing charge recombination and facilitating transfer.
JOURNAL OF PHYSICS AND CHEMISTRY OF SOLIDS
(2023)
Article
Chemistry, Physical
Mozhgan Gholamveysi, Marzieh Ghodrati, Mitra Mousavi, Anita Parsaei-Khomami, Jahan B. Ghasemi, Mohammad Mehdi Habibi, Maryam Shekofteh-Gohari, Parviz Norouzi, Xuanhua Li
Summary: Photoelectrocatalysis is widely used in advanced oxidation processes due to its reduced recombination of charge carriers. This study proposes the formation of a heterojunction between ZnO and MoSe2 to enhance visible light absorption and PEC ability for organic contaminant removal. The as-synthesized nanocomposite was characterized and immobilized onto FTO for electrochemical characterization. The results showed higher PEC activity and recyclability compared to bare ZnO samples, and the operational parameters were investigated to understand their impact on the degradation process.
SURFACES AND INTERFACES
(2023)
Article
Chemistry, Multidisciplinary
Nazir Fattahi, Beshare Hashemi, Fereshteh Shiri, Mojtaba Shamsipur, Nasrin Babajani
Summary: A pH-responsive hydrophobic deep eutectic solvent was utilized to develop a simple and efficient liquid-liquid microextraction method for the extraction of three parabens from personal care product samples. The separation of the solvent was achieved by changing the acidity of the sample solution. The optimal experimental conditions were determined using a central composite design, and the thermodynamic model of the solvent was investigated.
NEW JOURNAL OF CHEMISTRY
(2022)
