A compare review about equilibrium conditions of semi-clathrate hydrate: experimental measurements visions and thermodynamic modeling aspects

Amid, Maryam; Zaferani, Seyed Peiman Ghorbanzade; Amooey, Ali Akbar

doi:10.1007/s10847-021-01062-w

Cited by 3 publications

(4 citation statements)

References 147 publications

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“…Model parameters are designed via weighting the NN using “learning” on training data. It is expected that weights can be optimized to reduce the prediction error 58 …”

Section: Methodsmentioning

confidence: 99%

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Modeling and optimization of malondialdehyde (MDA) absorbance behavior through response surface methodology (RSM) and artificial intelligence network (AIN): An endeavor to estimate lipid peroxidation by determination of MDA

Akbari

Najafi

Bahmaie

et al. 2023

Journal of Chemometrics

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Oxidative stress (OS) associated with reactive oxygen species (ROS) attacks many biomolecules, leading to cell death, lipid peroxidation (LP), and physiological mechanism damage in the human body because of its reaction with nucleotides, membrane lipids, and proteins. Malondialdehyde (MDA) is one of the end products of polyunsaturated fatty acids peroxidation. The elevated level of MDA is widely known as a biomarker for the indirect measurement of OS during LP. Although several derivatizations' approaches and successful commercial kits are available, their analytical validity and reliability in clinical studies require further attention to obtain robust quantitation and high‐quality data. Also, re‐evaluation and development of new analytical methods with high sensitivity and selectivity in response to free MDA and total MDA, DNA and protein adducts are not well‐characterized. Here, response surface methodology (RSM) and artificial neural network (ANN) were proposed to model, predict, and optimize MDA detection. This paper introduced a novel, simple, and fast modeling method using a new reagent (para methoxy aniline or PMA) for the first time to convert MDA to an adduct which could be detectable by UV‐Vis spectroscopy. Based on the interactions between MDA and PMA at times and temperatures, RSM and artificial intelligence network (AIN) were then applied to forecast the absorbance rate of MDA‐PMA. The optimum mode for the highest absorbance rate of MDA‐PMA is at the temperature of 74.99°C with a PMA concentration of 499.87 μM and MDA concentration of 49.98 μM. The best structure with five hidden layers, including 5,5,5,9,4 neurons with the transfer function logsig for each layer, was selected for the MLP‐ANN model. The maximum error rate of the MLP‐ANN model was 2.08%.Our new approach is an improvement over existing assay kits, overcoming limitations such as time, temperature, and reliability with a bright future to target increased MDA level in human samples.

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“…Model parameters are designed via weighting the NN using “learning” on training data. It is expected that weights can be optimized to reduce the prediction error 58 …”

Section: Methodsmentioning

confidence: 99%

“…It is expected that weights can be optimized to reduce the prediction error. 58 A multilayer perceptron (MLP) is considered a feed-forward ANN classification (Figure 3). The MLP term has not been well-defined.…”

Section: Ann Modelingmentioning

confidence: 99%

Modeling and optimization of malondialdehyde (MDA) absorbance behavior through response surface methodology (RSM) and artificial intelligence network (AIN): An endeavor to estimate lipid peroxidation by determination of MDA

Akbari

Najafi

Bahmaie

et al. 2023

Journal of Chemometrics

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“…Combined separation techniques have been also examined, in which the membrane separation are used at the final stages of separation . The research carried out in this direction has been described in detail in reviews; − it is difficult to add anything to the information given in these works.…”

Section: Double Ionic Clathrate Hydrates Of Tiaa Tba and Tbp Salts Wi...mentioning

confidence: 99%

Ionic Clathrate Hydrates of Tetraalkylammonium/phosphonium Salts: Structures, Properties, Some Applications, and Perspectives

2022

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Ionic clathrate hydrates (ICHs) belong to one of the groups of a wide class of clathrate hydrates. In the crystal structures of ICHs, cation–anion pairs of guest molecules, typically tetraalkylammonium/phosphonium salts, are included into the host framework of hydrogen-bonded water molecules. Because of their suitable phase change temperature and latent heat, ICHs are considered as promising phase change materials for application in cold energy storage and transportation. The presence of vacant cavities in ICHs structures, which can incorporate small gas molecules such as, for example, H2, CH4, CO2, N2, H2S, determines the possibility of their use for the separation and storage of gases. The formation of these double ICHs occurs under much milder pressure and temperature conditions compared to the pure gas hydrates of the same gases. Studying of the structural characteristics and thermophysical properties of ICHs and double ICHs with gases is the necessary basis for their effective applications in different practical ends. This work reviews information related to the new details and features of the structures of ICHs and double ICHs with gases revealed over the last decade or a little more as well as some thermophysical data such as hydrate numbers, temperatures and enthalpies of dissociation. This review focuses only on ICHs of tetrabutyl-, tetraisoamylammonium (TBA, TiAA), and tetrabutylphosphonium (TBP) salts, which are the most common representatives of this class of compounds. One of the sections is devoted to ICHs of TBA and TiAA with polymeric anions such as cross-linked polyacrylates. The purpose of the present paper is to review the studies that have been relatively little addressed in previous works.

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“…It has been proved that anion has a great impact on semi-clathrate hydrate phase equilibrium and by increasing the TBAB concentration, the temperature increment also increases [55]. According to the references [55,56], TetraButylAmmonium Fluoride (TBAF) is the best thermodynamic promoter than other ammonium salts and it can make a stronger hydrogen bond with water molecules. However, it has a strong toxic nature because of the presence of fluoride ion in TBAF.…”

Section: Gasmentioning

confidence: 99%

Semi-clathrate hydrate phase stability conditions for methane + TetraButylAmmonium Bromide (TBAB)/TetraButylAmmonium Acetate (TBAA) + water system: Experimental measurements and thermodynamic modeling

Irannezhad

Javanmardi

Rasoolzadeh

et al. 2021

Oil Gas Sci. Technol. – Rev. IFP Energies nouvelles

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One of the promising applications of clathrate/gas hydrates is the transport and storage of natural gas. Semi-clathrate hydrates have received more attention due to milder pressure/temperature stability conditions compared to ordinary clathrate hydrates. The most commonly reported semi-clathrate hydrates are formed from a combination of gas + water + quaternary ammonium salts. In this work, a total of 53 equilibrium data for semi-clathrate hydrates of methane + TetraButylAmmonium Bromide (TBAB)/TetraButylAmmonium Acetate (TBAA) aqueous solutions were experimentally measured. For TBAB, three concentrations including 0.0350, 0.0490, and 0.1500 mass fractions were used. For TBAA, a solution with a 0.0990 mass fraction was used. Additionally, the modified Chen–Guo model was applied to calculate the hydrate phase equilibrium conditions of methane + TBAB/TBAA aqueous solutions. The model can accurately calculate the aforementioned semi-clathrate hydrate phase equilibrium conditions with the Average Absolute Deviations ((AAD)T and (AAD)P) of 0.1 K and 0.08 MPa, respectively. The temperature increments for 0.0350, 0.0490, and 0.1500 mass fractions of TBAB are 7.7, 9.4, and 13.5 K, respectively. This value for 0.0990 mass fraction of TBAA is 6.2 K. Therefore, it is concluded that TBAB is a stronger hydrate promoter compared to TBAA.

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A compare review about equilibrium conditions of semi-clathrate hydrate: experimental measurements visions and thermodynamic modeling aspects

Cited by 3 publications

References 147 publications

Modeling and optimization of malondialdehyde (MDA) absorbance behavior through response surface methodology (RSM) and artificial intelligence network (AIN): An endeavor to estimate lipid peroxidation by determination of MDA

Modeling and optimization of malondialdehyde (MDA) absorbance behavior through response surface methodology (RSM) and artificial intelligence network (AIN): An endeavor to estimate lipid peroxidation by determination of MDA

Ionic Clathrate Hydrates of Tetraalkylammonium/phosphonium Salts: Structures, Properties, Some Applications, and Perspectives

Semi-clathrate hydrate phase stability conditions for methane + TetraButylAmmonium Bromide (TBAB)/TetraButylAmmonium Acetate (TBAA) + water system: Experimental measurements and thermodynamic modeling

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