Results 171 to 180 of about 14,435 (275)

Computational study of permeability in cardboard coating layers

AIChE Journal, EarlyView.
Abstract We develop a virtual material structure model based on a combination of tessellations and Gaussian random fields for a coating layer of paperboard used for packaging and designed to facilitate printing on the surface. To fit the model to tomographic image data acquired using combined focused ion beam and scanning electron microscopy (FIB‐SEM),
Sandra Barman, Torben Nilsson Pingel, Niklas Lorén, Tobias Gebäck, Eva Olsson, Aila Särkkä, Magnus Röding   +6 more
wiley   +1 more source

Effects of extrusion technology on flavor, texture and microstructure of soy-based high-moisture meat analogs and identification of characteristic aroma components. [PDF]

Food Chem X
Wang S, Dong T, Sun J, Chen H, Zhang H.
europepmc   +1 more source

Optimizing Protein Fiber Spinning to Develop Plant-Based Meat Analogs via Rheological and Physicochemical Analyses. [PDF]

Foods, 2023
Joshi K, Shabani E, Kabir SMF, Zhou H, McClements DJ, Park JH.   +5 more
europepmc   +1 more source

Exploring Quantum Support Vector Regression for Predicting Hydrogen Storage Capacity of Nanoporous Materials

Advanced Intelligent Discovery, EarlyView.
In this study we employed support vector regressor and quantum support vector regressor to predict the hydrogen storage capacity of metal–organic frameworks using structural and physicochemical descriptors. This study presents a comparative analysis of classical support vector regression (SVR) and quantum support vector regression (QSVR) in predicting ...
Chandra Chowdhury
wiley   +1 more source

A Solution for Exosome‐Based Analysis: Surface‐Enhanced Raman Spectroscopy and Artificial Intelligence

Advanced Intelligent Discovery, EarlyView.
Exosomes are emerging as powerful biomarkers for disease diagnosis and monitoring. This review highlights the integration of surface‐enhanced Raman spectroscopy with artificial intelligence to enhance molecular fingerprinting of exosomes. Machine learning and deep learning techniques improve spectral interpretation, enabling accurate classification of ...
Munevver Akdeniz, Zakarya Al‐Shaebi, Omer Aydin   +2 more
wiley   +1 more source

Effects of Cassava and Modified Starch on the Structural and Functional Characteristics of Peanut Protein-Based Meat Analogs. [PDF]

Foods
Su Y, Guan J, Liu S, Zhu Y, Hu L, Zhang Y, Lu F, Zhu M.   +7 more
europepmc   +1 more source

Level Optimization of Beet Powder and Caramel Color for Beef Color Simulation in Meat Analogs before and after Cooking. [PDF]

Food Sci Anim Resour, 2023
Lee S, Jo K, Jeong SK, Choi YS, Jung S.
europepmc   +1 more source

Application of Neural Networks for Advanced Ir Spectroscopy Characterization of Ceria Catalysts Surfaces

Advanced Intelligent Discovery, EarlyView.
A novel convolutional neural network architecture enables rapid, unsupervised analysis of IR spectroscopic data from DRIFTS and IRRAS. By combining synthetic data generation with parallel convolutional layers and advanced regularization, the model accurately resolves spectral features of adsorbed CO, offering real‐time insights into ceria surface ...
Mehrdad Jalali, Lachlan Caulfield, Eric Sauter, Alexei Nefedov, Chengwu Yang, Christof Wöll   +5 more
wiley   +1 more source

Improved properties of high-moisture extruded meat analogs using ultrasound-treated Nannochloropsis gaditana and chickpea protein concentrate. [PDF]

Ultrason Sonochem
Lu L, Zhu J, Sun Y, Yu H, Zhou W.
europepmc   +1 more source

Physico-chemical and Textural Properties of 3D Printed Plant-based and Hybrid Soft Meat Analogs. [PDF]

Plant Foods Hum Nutr, 2023
Wang T, Kaur L, Beniwal AS, Furuhata Y, Aoyama H, Singh J.   +5 more
europepmc   +1 more source