Results 161 to 170 of about 22,691 (291)

Development of a Mechanically Regenerating Desublimator for Freeze‐Drying Systems in the Food Industry

Chemie Ingenieur Technik, EarlyView.
Thermal defrosting limits desublimator efficiency in freeze‐drying. This review and case study compares thermal versus mechanical regeneration, links frost properties and external heat transfer to energy demand, and summarizes pilot‐scale scraping results enabling single‐unit, continuous lyophilization.
Moritz Krummenacher, Mirko Kleingries, Edgar Zimmer, Roman Blättler   +3 more
wiley   +1 more source

Deciphering the binding strength of oil matrix through molecularly resolved release energy analysis using thermal slicing ramped pyrolysis GC-MS. [PDF]

Anal Bioanal Chem
Lu K, Xue J, Liu Z.
europepmc   +1 more source

Mechanical Vapor Recompression in Distillation: A Framework to Analyze Technical Feasibility, Economic Competitiveness, and Ecological Benefits

Chemie Ingenieur Technik, EarlyView.
Communication: An approach for a holistic evaluation of distillation processes with mechanical vapor recompression combining an initial energy potential analysis, shortcut methods for the compressor and reboiler design, and the determination of economic and ecological performance parameters is presented.
Katharina Jasch, Franziska Lais, Hannes Schneider, Mandy Paschetag, Stephan Scholl   +4 more
wiley   +1 more source

Measurement and modeling of rizatriptan in supercritical CO₂ for pharmaceutical processing. [PDF]

Sci Rep
Bawazeer S.
europepmc   +1 more source

AutoVap: An Interactive Machine Learning Tool for Predicting the Standard Enthalpy of Vaporization

Chemie Ingenieur Technik, EarlyView.
AutoVap (https://autovap.jfcaetano.com) is a web app that predicts ΔvapHm° from SMILES using an RDKit‐based ML model, giving accurate, interpretable results with uncertainty across diverse molecules. ABSTRACT This communication introduces AutoVap (https://autovap.jfcaetano.com), an interactive web application for predicting the standard molar enthalpy ...
José Ferraz‐Caetano
wiley   +1 more source

Machine Learning-Guided Prediction of Formulation Performance in Inhalable Ciprofloxacin-Bile Acid Dispersions with Antimicrobial and Toxicity Evaluation. [PDF]

Mol Pharm
Bahjat TZ, Mohammed M Ways T, Aziz SA, Ibrahim AI, Danto D, Ghattas V, Raouf GM, Barrett G, Sabir DK, Mohamedsalih PM, Al-Obaidi H.   +10 more
europepmc   +1 more source

Optimal model‐based design of experiments for parameter precision: Supercritical extraction case

The Canadian Journal of Chemical Engineering, EarlyView.
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
wiley   +1 more source

Multi criterion decision making analysis of hematologic cancer drugs via topological indices and physicochemical properties. [PDF]

Sci Rep
Huang L, Hanif S, Siddiqui MK, Hanif MF, Hanif MF, Fiidow MA.   +5 more
europepmc   +1 more source

A‐optimal model‐based design of experiments for processes with uncertain inputs

The Canadian Journal of Chemical Engineering, EarlyView.
Abstract Model‐based design of experiments (MBDoE) techniques are tools for selecting experimental conditions that enable accurate parameter estimation for mechanistic models. Most MBDoE approaches assume that the selected experimental conditions will be implemented perfectly, without uncertainties in the independent variables.
Bright Ofori, Iman Moshiritabrizi, Anh‐Duong Vo, Kimberley B. McAuley   +3 more
wiley   +1 more source

Continuous tuning of ejector parameters via zeotropic component migration for optimising high-temperature heat pump. [PDF]

Commun Eng
Li Z, Liang Y, Zhu Y, Yao S, Yu Z.
europepmc   +1 more source