Optimal model‐based design of experiments for parameter precision: Supercritical extraction case
Abstract This study investigates the process of chamomile oil extraction from flowers. A parameter‐distributed model consisting of a set of partial differential equations is used to describe the governing mass transfer phenomena in a cylindrical packed bed with solid chamomile particles under supercritical conditions using carbon dioxide as a solvent ...
Oliwer Sliczniuk, Pekka Oinas
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Artificial Neural Networks: An Innovative Approach Used for Elucidation of Ionization Processes in Supercritical Fluid Chromatography-Mass Spectrometry. [PDF]
Plachká K +5 more
europepmc +1 more source
CNF‐based photocatalysts bridge materials innovation and carbon neutrality by integrating charge regulation, photo‐thermal‐electric synergy effects, and active site engineering. This review outlines synthesis‐structure‐performance relationships to key solar‐driven applications in H2 evolution, CO2 reduction, and environmental remediation, while ...
Weitao Li +8 more
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Therapeutic Potential of <i>Plantago ovata</i> Bioactive Extracts Obtained by Supercritical Fluid Extraction as Influenced by Temperature on Anti-Obesity, Anticancer, and Antimicrobial Activities. [PDF]
Qanash H +4 more
europepmc +1 more source
Naringin and naringenin exhibit well‐recognized therapeutic potential; however, they face limitations related to solubility and bioavailability. Micronization increases surface area and enhances absorption. Notably, cocrystallization stands out as a primary strategy for particle optimization, as it refines physicochemical properties, improves ...
Emilia Rodrigues Almeida +4 more
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Steroid dynamics in myalgic encephalomyelitis / chronic fatigue syndrome: a case-control study using ultra performance supercritical fluid chromatography tandem mass spectrometry. [PDF]
Thomas N +4 more
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The structure, properties, preparation methods, and characterization techniques of BP. As a typical 2D layered material, black phosphorus (BP) demonstrates exceptional promise in various fields, particularly in energy storage for alkali metal‐ion batteries. However, its distinctive structure and properties, together with the compositional complexity of
Yunqing Wang +7 more
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Predicting the microalgae lipid profile obtained by supercritical fluid extraction using a machine learning model. [PDF]
Rangel Pinto JD +6 more
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ABSTRACT Thermochemical gasification is one of the most efficient methods for producing solid waste synthesis gas. Therefore, to predict and analyze the process of gasification of municipal solid waste (MSW) in a downdraft fixed‐bed gasification reactor with a thermal capacity of 2.1 kW, a comprehensive numerical modeling approach based on Gibbs free ...
Mohammad Reza Gharib +2 more
wiley +1 more source

