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88 articles for “Extraction efficiency”
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Supercritical Fluid Extraction: Mechanisms, Applications, and Recent Developments
Abstract: Supercritical Fluid Extraction (SFE) is an advanced and versatile separation technique that harnesses the unique properties of supercritical fluids (SCFs) to extract a wide variety of compounds from both solid and liquid matrices. Supercritical fluids, which are substances at a temperature and pressure above their critical points, possess both liquid-like density and gas-like viscosity, making them highly effective solvents for extraction processes. This review delves into the underlying mechanisms of …
Published in International Journal of Chemical Separation Technology · Vol. 11, Issue 1, 2025 Read article
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Recovery of Succinic acid by Reactive Extraction using Tri-n-octylamine in 1-Decanol: Equilibrium Optimization using Response Surface Method and Kinetic studies
Abstract: Reactive extraction is a promising technique for the recovery of organic acids from aqueous streams. Succinic acid, is a white, odorless solid dicarboxylic acid, and is a precursor for some specialized polyesters. Present paper presents an optimization study of reactive extraction of succinic acid equilibrium studies from aqueous solutions using Tri-n-octylamine in 1-Decanol using response surface methodology including reaction kinetics in a stirred cell. Extraction efficiency (Y), a response function …
Published in International Journal of Chemical Separation Technology · Vol. 2, Issue 2, 2016 · pp. 1–14 Read article
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Efficiency and Reliability of DNA Extraction Methods for Ixodid Ticks (Acari: Ixodidae): A Comparative Tour
Abstract: ABSTRACTIt is well understood that DNA extraction is the primary as well as the crucial step while studying ticks at molecular level. The DNA extraction methods should be straightforward, and enough efficient as well as reliable in terms of DNA quality and quantity. In the present study, two non-commercial methods named phenol chloroform isoamyl alcohol (PCI) and cetyl-trimethyl ammonium bromide (CTAB) and one commercial DNeasy tissue kit were compared based …
Published in International Journal of Animal Biotechnology and Applications · Vol. 5, Issue 1-2, 2019 · pp. 1–9 Read article
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Agro Seed Oil Production through Mechanothermal Extraction: Exploring its Potential for Chemical, Pharmaceutical, and Food Industries
Abstract: The increasing demand for sustainable and environmentally friendly industrial raw materials has intensified research into the production of oils from agro seeds using efficient extraction technologies. This study reviews the mechanothermal extraction of agro-seed oils with emphasis on their potential applications in chemical, pharmaceutical, and food industries. Mango (Mangifera indica) seeds, which are commonly discarded as agricultural waste during fruit processing, contain significant quantities of lipids, proteins, carbohydrates, antioxidants, and …
Published in International Journal of Analytical and Applied Chemistry · Vol. 12, Issue 2, 2026 Read article
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Review of Reactive Extraction Process for Recovery of Pyruvic Acid
Abstract: Pyruvic acid having a molecular formula (C3H4O3) is an important alpha-keto-carboxylic acid. It is mainly manufactured by biotechnological routes or chemical synthesis. There are number of applications of pyruvic acid in the industrial sector such as chemical, food, cosmetic and agriculture sector. The main problem for the production of pyruvic acid from the fermentation broth is downstream processing. The number of techniques developed to recover this acid from their aqueous …
Published in International journal of Thermodynamics and Chemical Kinetics · Vol. 4, Issue 2, 2018 · pp. 1–7 Read article
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Recognition of Vehicle Number Plate Using Mathematical Morphology and Neural Networks
Abstract: This paper presents a method for recognition of the vehicle number plate from the image using neural networks and mathematical morphology. The main theme is to use different morphological operations in such a way so that the number plate of the vehicle can be extracted efficiently. The technique makes the extraction of the plate independent of color, location and size of number plate. The proposed approach can be divided into …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 3, Issue 2, 2017 · pp. 1–4 Read article
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Green Solvent Extraction: Sustainable Approaches for Chemical Separation
Abstract: Solvent extraction techniques have advanced significantly as a result of the increased focus on sustainability and environmental responsibility. Traditional organic solvents, while effective in chemical separation processes, often contribute to environmental pollution and pose health risks. In response, researchers have explored greener alternatives that minimize these adverse effects. Compared to traditional procedures, green solvent extraction offers safer and more environmentally friendly solutions by using bio-based solvents, ionic liquids, and deep …
Published in International Journal of Chemical Separation Technology · Vol. 11, Issue 1, 2025 Read article
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Establishment of a Sensitive LC-MS Method for Pharmacokinetic Evaluation of Decitabine and Cedazuridie in Rat Plasma
Abstract: A simple, rapid, and highly sensitive liquid chromatography–mass spectrometry (LC–MS) method was successfully developed and validated for the simultaneous determination of Decitabine and Cedazuridine in plasma matrices. The method demonstrated excellent linearity across the selected calibration range, with correlation coefficients (R²) consistently exceeding 0.999 for both analytes, indicating strong analytical performance. Method validation was carried out in accordance with ICH Q2(R2) and US FDA bioanalytical method validation guidelines, ensuring compliance …
Published in International Journal of Green Chemistry · Vol. 12, Issue 1, 2026 · pp. 34–42 Read article
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Establishment of a Sensitive LC-MS Method for Pharmacokinetic Evaluation of Decitabine and Cedazuridie in Rat Plasma
Abstract: Abstract A simple, rapid, and highly sensitive liquid chromatography–mass spectrometry (LC–MS) method was successfully developed and validated for the simultaneous determination of Decitabine and Cedazuridine in plasma matrices. The method demonstrated excellent linearity across the selected calibration range, with correlation coefficients (R²) consistently exceeding 0.999 for both analytes, indicating strong analytical performance. Method validation was carried out in accordance with ICH Q2(R2) and US FDA bioanalytical method validation guidelines, ensuring …
Published in International Journal of Green Chemistry · Vol. 12, Issue 1, 2026 · pp. 34–42 Read article
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Brown Onion Oil Characteristics of Medicinal Integrity byLooking at the Extraction Operating Conditions
Abstract: New forms of disease are increasingly affecting people living in today’s highly pressure environment, and these diseases are less responsive to conventional treatments. Aromatic plants and species are used for thousands of years for many purposes, such as medicine, perfumes and cosmetics, as well as in the food industry for culinary and medicinal uses. The brown onion shows the following physic and chemical properties as determined experimentally as Refractive index …
Published in International Journal of Chemical Separation Technology · Vol. 11, Issue 2, 2025 · pp. 41–51 Read article
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Photonic Crystals – A Review
Abstract: Photonic crystals are periodically arrayed electromagnetic media, commonly having possessing photonic band gaps: ranges of frequency in which light cannot propagate through the structure. This periodicity, where the length scale is proportional to the wavelength of light in the band gap, is the electromagnetic analogue of a crystalline atomic lattice, where the latter acts on the electron wave function to make the familiar band gaps, semiconductors, and so on, of …
Published in International Journal of Plant Biotechnology · Vol. 4, Issue 1, 2018 · pp. 12–15 Read article
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Speech Emotion Recognition using Multi- Kernel CNN for Features extraction and Random Forest Classifier
Abstract: Identifying human emotional states from speech signals is the main goal of Speech Emotion Recognition (SER), which has grown to be a significant area of study in affective computing. However, class imbalance and efficient feature extraction from speech data pose problems for many of the current methods. This study suggests a hybrid framework that combines a Random Forest (RF) classifier with a multi-kernel Convolutional Neural Network (CNN) to address these …
Published in International Journal of Digital Communication and Analog Signals · Vol. 12, Issue 2, 2026 Read article
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Hybrid Quantum-Classical Signal Processing for High-Dimensional Feature Extraction in Smart Instrumentation
Abstract: Hybrid quantum–classical signal processing has emerged as a promising paradigm for overcoming the computational limitations of conventional algorithms in analyzing high-dimensional data generated by modern smart instrumentation systems. This paper presents a novel hybrid quantum–classical signal processing framework designed for efficient feature extraction from complex, multidimensional sensor signals encountered in industrial monitoring, biomedical diagnostics, environmental sensing, and intelligent manufacturing. The proposed architecture integrates quantum variational circuits with classical deep learning …
Published in International Journal of Microwave Engineering and Technology · Vol. 12, Issue 2, 2026 Read article
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Hybrid Quantum-Classical Signal Processing for High-Dimensional Feature Extraction in Smart Instrumentation
Abstract: Hybrid quantum–classical signal processing has emerged as a promising paradigm for overcoming the computational limitations of conventional algorithms in analyzing high-dimensional data generated by modern smart instrumentation systems. This paper presents a novel hybrid quantum–classical signal processing framework designed for efficient feature extraction from complex, multidimensional sensor signals encountered in industrial monitoring, biomedical diagnostics, environmental sensing, and intelligent manufacturing. The proposed architecture integrates quantum variational circuits with classical deep learning …
Published in International Journal of Microwave Engineering and Technology · Vol. 12, Issue 2, 2026 Read article
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Advances in Genetic Enhancement, Processing Innovation and Sustainable Valorization of Jute (Corchorus spp.): A Critical Review
Abstract: The accelerating global shift toward environmentally responsible material systems has intensified scientific and industrial interest in lignocellulosic bast fibres. Jute (Corchorus spp.) remains one of the most economically and ecologically significant natural fibres due to its renewability, biodegradability, and substantial contribution to rural livelihoods. This review critically synthesizes contemporary progress in genetic improvement, fibre structural optimization, retting biotechnology, surface engineering, and composite integration. Emphasis is placed on genomics-assisted breeding, targeted …
Published in International Journal of Plant Biotechnology · Vol. 12, Issue 2, 2026 · pp. 10–18 Read article
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Examination of Oil Extraction using Hexane and Ethanol: A Case Study of Coconut
Abstract: The research was aimed to comparatively study the effects of solvent extractions on three differentspecies of coconut using developed model equations of extraction and experiment conducted. The mainobjective was comparison of experimental results in terms of yields on the performance of solvents(hexane and ethanol) on the various species of coconut. The research was useful for communities in theWest African countries that are significantly dependent on financial gain from agrarian enterprise. …
Published in International Journal of Green Chemistry · Vol. 7, Issue 1, 2021 · pp. 6–26 Read article
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A Comprehensive Review of Convolutional Neural Network Architectures and Evolution
Abstract: Convolutional Neural Networks (CNNs) have become a foundational deep learning framework in computer vision because they can automatically extract layered, increasingly complex features directly from raw image data. CNNs use convolutional, pooling, and activation layers to extract spatial patterns from basic edges to intricate object components, drawing inspiration from the human visual cortex. An overview of CNNs’ basic architecture is given in this study, along with an explanation of important …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 12, Issue 1, 2026 · pp. 32–40 Read article
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Eco-Friendly Corrosion Inhibition of Aluminum Alloys with Acacia nilotica in Acidic Media
Abstract: Gravimetric analysis was used to examine the corrosion inhibitory effects of Acacia nilotica extract in 0.5 N H2SO4 on aluminum alloy at different concentrations and at 303 K. At a corrosion inhibitor concentration 0.45% at 303 K, the inhibition efficiency is found to be remarkably high (52.25%). Results show that the extract's capacity to inhibit was caused by its adsorption onto the metal surface via the Langmuir adsorption process. For …
Published in International Journal of Metallurgy and Alloys · Vol. 10, Issue 1, 2024 · pp. 31–37 Read article
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Transforming Carbon: The Science and Potential of Gasification
Abstract: Methanol and chemicals like urea and ammonia, which are the building blocks of many fertilizers, can be produced via the gasification process. Additionally, gasification can assist in the production of transportation fuels from biomass, coal, oil, and sands. Drying, pyrolysis, combustion, cracking, and reduction are the five distinct thermal processes that make up gasification. Drying removes moisture from the feedstock, while pyrolysis breaks down complex hydrocarbons into simpler molecules. Combustion …
Published in International journal of Thermodynamics and Chemical Kinetics · Vol. 11, Issue 1, 2025 · pp. 24–35 Read article
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Imminent Bioperspectives of Aromatic Plant Leaf Extracts from Cinnamomum tamala and its Biopesticidal Potential against Tribolium castaneum (Herbst.)
Abstract: present research work concluded that when the C. tamala leaf extract of five various solvents revealed that acetone extract possessed potential biopesticidal efficiency because it contains the cinnamaldehyde and linalool like compounds present in the same extract. Totally eleven compounds are elucidated from the leaf (acetone extract) through a GCMS analysis. It was almost conformed that these two aldehyde and aromatic carboxylic acid groups were presented in the acetone extract …
Published in International Journal of Plant Biotechnology · Vol. 5, Issue 2, 2019 · pp. 31–43 Read article