Article
Food Science & Technology
Xi Tang, Lin Rao, Lei Xie, Min Yan, Zuoquan Chen, Siyi Liu, Liqing Chen, Shijun Xiao, Nengshui Ding, Zhiyan Zhang, Lusheng Huang
Summary: Accurately and rapidly determining meat quality traits is essential in the food industry and pig breeding. This study assessed the predictive potential of 14 meat quality traits based on large-scale VIS/NIR hyperspectral images, demonstrating the great potential of hyperspectral imaging in predicting and visualizing various meat qualities.
Article
Food Science & Technology
Xi Tang, Lei Xie, Siyi Liu, Zuoquan Chen, Lin Rao, Liqing Chen, Longyun Li, Shijun Xiao, Zhiyan Zhang, Lusheng Huang
Summary: This article introduces the application of visible and near-infrared spectroscopy (VIS/NIRS) in quantifying meat quality in the livestock and food industries. By collecting spectral data of pig longissimus muscle and using models to predict meat quality traits, it is found that the performance of different models varies for different traits. The authors also propose a new method to select feature wavelengths, and the results show that the prediction performance is proportional to the number of identified significant association wavelengths.
Article
Agriculture, Dairy & Animal Science
Rita Benitez, Yolanda Nunez, Miriam Ayuso, Beatriz Isabel, Miguel A. Fernandez-Barroso, Eduardo De Mercado, Emilio Gomez-Izquierdo, Juan M. Garcia-Casco, Clemente Lopez-Bote, Cristina ovilo
Summary: The study investigated the effects of developmental stage, breed, and diet energy source on the genome-wide expression, meat quality traits, and tissue composition of biceps femoris muscle in growing pure Iberian and Duroc pigs. Results showed significant transcriptome changes along time in Iberian animals related to growth and tissue development, while breed differences were observed in functions related to muscle development and cytoskeleton organization.
Article
Food Science & Technology
Miriam Hernandez-Jimenez, Maria Inmaculada Gonzalez-Martin, Ivan Martinez-Martin, Isabel Revilla, Ana Maria Vivar-Quintana
Summary: This study explores the application of NIR for predicting stable isotopes and fatty acid composition in Iberian pigs, showing significant correlations and differentiation potential between samples from different feeding regimes.
Article
Chemistry, Applied
Miguel Angel Fernandez-Barroso, Silvia Parrini, Maria Munoz, Patricia Palma-Granados, Gema Matos, Luisa Ramirez, Alessandro Crovetti, Juan Maria Garcia-Casco, Riccardo Bozzi
Summary: The study evaluated the accuracy of NIRS technique in determining meat quality traits in Iberian pig loin samples, showing the highest coefficients of determination for hardness, redness (a*), and yellowness (b*) in intact samples.
JOURNAL OF FOOD COMPOSITION AND ANALYSIS
(2021)
Article
Chemistry, Analytical
Dolores Perez-Marin, Tom Fearn, Cecilia Riccioli, Emiliano De Pedro, Ana Garrido
Summary: The paper explores the use of NIR spectra to classify samples according to premium and non-premium categories of Iberian pig products. Different discriminant methods were compared, with linear discriminant analysis achieving the best overall accuracy of 93%.
Article
Food Science & Technology
J. M. Caceres-Nevado, A. Garrido-Varo, E. De Pedro-Sanz, D. Tejerina-Barrado, D. C. Perez-Marin
Summary: This study compared the performance of two different Near Infrared Spectroscopy instruments for the detection of fresh and frozen-thawed acorns-fed Iberian pig loins, showing that the models developed had a high discriminant ability.
Article
Food Science & Technology
Silvia Bonardi, Bojan Blagojevic, Simone Belluco, Mati Roasto, Eduarda Gomes-Neves, Ivar Vagsholm
Summary: The European General Food Law emphasizes the importance of risk analysis in food legislation to protect human health. However, in the pig meat production chain, only a few countries have implemented monitoring and control measures for Salmonella and Trichinella.
TRENDS IN FOOD SCIENCE & TECHNOLOGY
(2021)
Article
Agriculture, Dairy & Animal Science
Shinichiro Ogawa, Hiroshi Takahashi, Masahiro Satoh
Summary: We estimated genetic parameters for pork production and litter performance traits of Landrace, Large White, and Duroc pigs in Japan. The heritability of pork production traits was estimated to be 0.4-0.5 and for litter performance traits, it was below 0.2. Genetic correlation between daily gain and backfat thickness was small, while that between pork production traits and litter performance traits ranged from negligible to moderate. The results highlight the importance of carefully considering the statistical model used for analysis.
JOURNAL OF ANIMAL BREEDING AND GENETICS
(2023)
Article
Food Science & Technology
Alberto Ortiz, Carlos Diaz-Caro, David Tejerina, Miguel Escribano, Eva Crespo, Paula Gaspar
Summary: The study identified three segments of consumers regarding their consumption habits of Iberian meat, with tenderloin and secreto being the most consumed cuts across all segments. The main reason for lower consumption of presa and pluma was a dislike for these cuts, especially among consumers who were unmotivated towards Iberian meat.
Article
Chemistry, Analytical
Fabio Urbina, Kushal Batra, Kevin J. Luebke, Jason D. White, Daniel Matsiev, Lori L. Olson, Jeremiah P. Malerich, Maggie A. Z. Hupcey, Peter B. Madrid, Sean Ekins
Summary: UV-adVISor is a computational tool designed to predict UV-Vis spectra from molecular structures alone. Utilizing different datasets, neural networks, and statistical measures, accurate predictions can be made for compound spectra.
ANALYTICAL CHEMISTRY
(2021)
Article
Materials Science, Multidisciplinary
Haiyang Song, Yinghe Zhao, Eleanor Turner, Yu Wu, Yuan Li, Menghao Wu, Guang Feng, Huiqiao Li, Tianyou Zhai
Summary: Researchers have established a new framework using the theory of mutual information to capture 2D van der Waals magnets with high probability for experimental demonstration from materials science literature. This framework has the potential to revolutionize the experimental discovery of 2D vdW magnets.
Article
Agriculture, Dairy & Animal Science
Miriam Hernandez-Jimenez, Isabel Revilla, Lourdes Arce, Maria Jose Cardador, Rocio Rios-Reina, Inmaculada Gonzalez-Martin, Ana Maria Vivar-Quintana
Summary: The study demonstrates that both Near Infrared Spectroscopy and Gas Chromatography-Mass Spectrometry techniques are effective in classifying and authenticating Iberian pork raw materials without the need for chemical treatment. The use of these two techniques provides significant advantages for the industry.
Article
Biology
Arthur S. Powanwe, Andre Longtin
Summary: To properly interact with the environment, the brain must rapidly identify, process external stimuli, and make the right decisions, involving multiple brain regions sharing information through rhythmic activities. The flexibility in information sharing requires dynamic functional connectivity, even in the presence of fixed structural connectivity. The relationship between phase synchronization and information sharing is unclear, and the flexibility of information sharing depends on the dynamic origin of oscillations.
Article
Physics, Multidisciplinary
Xiyu Shi, Varuna De-Silva, Yusuf Aslan, Erhan Ekmekcioglu, Ahmet Kondoz
Summary: This paper reveals the typical learning patterns of convolutional neural networks using information theoretical measures, showing that more convolutional layers improve learning but excessively adding layers does not. It also demonstrates that the kernel size of convolutional layers only affects learning speed, and the placement of dropout layers has varying effects depending on the dropout rate.
Article
Astronomy & Astrophysics
A. Guillen, A. Bueno, J. M. Carceller, J. C. Martinez-Velazquez, G. Rubio, C. J. Todero Peixoto, P. Sanchez-Lucas
ASTROPARTICLE PHYSICS
(2019)
Article
Physics, Multidisciplinary
Luis Javier Herrera, Carlos Jose Todero Peixoto, Oresti Banos, Juan Miguel Carceller, Francisco Carrillo, Alberto Guillen
Article
Computer Science, Artificial Intelligence
F. Carrillo-Perez, L. J. Herrera, J. M. Carceller, A. Guillen
Summary: This research presents a supervised learning algorithm to determine the type of particles causing extensive air showers in ultra-high energy cosmic rays. The integration of information from surface detectors improves classification results, while convolutional neural networks show potential in automatically extracting features for better classification.
NEURAL COMPUTING & APPLICATIONS
(2021)
Article
Biochemical Research Methods
Francisco Carrillo-Perez, Juan Carlos Morales, Daniel Castillo-Secilla, Yesica Molina-Castro, Alberto Guillen, Ignacio Rojas, Luis Javier Herrera
Summary: The study presents a late fusion classification model utilizing histology and RNA-Seq data to improve the diagnosis of adenocarcinoma and squamous cell carcinoma. Results indicate that the model reduces the diagnosis error rate, achieving a high F1-Score and AUC.
BMC BIOINFORMATICS
(2021)
Article
Physics, Particles & Fields
R. Conceicao, B. S. Gonzalez, A. Guillen, M. Pimenta, B. Tome
Summary: This study demonstrates the efficient use of a water Cherenkov detector combined with machine learning techniques for muon tagging and counting to distinguish between gamma and hadron-induced showers. The ML analysis output of muon probabilities can notably discriminate between different types of showers. An estimator of the number of muons was built by summing the probabilities of having a muon in the stations for vertical showers.
EUROPEAN PHYSICAL JOURNAL C
(2021)
Article
Computer Science, Artificial Intelligence
B. S. Gonzalez, R. Conceicao, M. Pimenta, B. Tome, A. Guillen
Summary: This paper presents several approaches to address the problem of identifying muons in a water Cherenkov detector with reduced water volume and 4 PMTs. By utilizing different perspectives of information representation and engineering new features, in combination with convolutional layers, these approaches achieve good performance on the test set without overfitting. The results also demonstrate that state-of-the-art machine learning analysis techniques in low water depth Cherenkov detectors can efficiently identify muons, leading to significant cost savings in high-altitude regions where less water is required.
NEURAL COMPUTING & APPLICATIONS
(2022)
Article
Automation & Control Systems
Javier Leon, Juan Jose Escobar, Marina Bravo, Bruno Zamorano, Alberto Guillen
Summary: This paper addresses the importance of machine learning in solving classification problems in the field of Particle Physics and proposes several dataset representations and nine supervised learning algorithms for evaluation. Random Forest and XGBoost achieve the best results with roughly 88% test-set accuracy, demonstrating the potential of machine learning in solving significant research questions in Particle Physics.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2023)
Article
Education & Educational Research
Juan J. Merelo, Pedro A. Castillo, Antonio M. Mora, Francisco Barranco, Noorhan Abbas, Alberto Guillen, Olia Tsivitanidou
Summary: This article examines the application of messaging platforms in higher education and the experiences and perceptions of teachers. A survey was conducted to gather teachers' preferences and opinions on messaging platforms and chatbots, as well as their views on how these tools can enhance student learning. The survey provides insights into teachers' needs and the various educational use cases where these tools could be valuable. The analysis also explores how teachers' opinions on tool usage vary based on gender, experience, and specialization. The key findings emphasize the factors that contribute to the adoption of messaging platforms and chatbots in higher education institutions to achieve desired learning outcomes.
EDUCATION AND INFORMATION TECHNOLOGIES
(2023)
Proceedings Paper
Computer Science, Interdisciplinary Applications
Juan J. Merelo, Pedro A. Castillo, Antonio M. Mora, Francisco Barranco, Noorhan Abbas, Alberto Guillen, Olia Tsivitanidou
Summary: The use of new technologies, such as messaging applications and chatbots, in higher education is growing rapidly in Western countries. This study surveys the opinions of instructors, mainly from Spain and Spanish-speaking countries, regarding the introduction of messaging platforms and chatbots in their classes. The study aims to understand teachers' needs and collect information about the various educational use cases where these tools are valuable. The analysis also examines how and when teachers' opinions towards the use of these tools can vary across gender, experience, and discipline of specialization.
LEARNING AND COLLABORATION TECHNOLOGIES: NOVEL TECHNOLOGICAL ENVIRONMENTS, LCT 2022, PT II
(2022)
Article
Physics, Particles & Fields
P. Assis, A. Bakalova, U. Barres de Almeida, P. Brogueira, R. Conceicao, A. De Angelis, L. Gibilisco, B. S. Gonzalez, A. Guillen, G. La Mura, L. M. D. Mendes, L. F. Mendes, M. Pimenta, R. C. Shellard, B. Tome, J. Vicha
Summary: This article presents the concept of a small, single-layer water Cherenkov detector with three photomultipliers placed in a 120-degree star configuration. The detector shows potential in tagging muons and achieving good gamma/hadron discrimination using machine learning techniques. The Mercedes Water Cherenkov Detector is considered suitable for high-altitude large gamma-ray observatories.
EUROPEAN PHYSICAL JOURNAL C
(2022)
Article
Green & Sustainable Science & Technology
Elena Higueras-Castillo, Alberto Guillen, Luis-Javier Herrera, Francisco Liebana-Cabanillas
Summary: An empirical study with 404 potential consumers in Spain reveals that range, incentives, and reliability are the most reliable predictors of purchase intention for electric vehicles. Experts suggest that these three variables are sufficient in understanding the purchase intention of potential buyers. The study also provides valuable insights for policy makers and private companies in the decision-making process for marketing electric vehicles.
INTERNATIONAL JOURNAL OF SUSTAINABLE TRANSPORTATION
(2021)
Article
Physics, Multidisciplinary
Alberto Guillen, Jose Martinez, Juan Miguel Carceller, Luis Javier Herrera
Proceedings Paper
Computer Science, Artificial Intelligence
Oresti Banos, Juan-Manuel Galvez, Miguel Damas, Alberto Guillen, Luis-Javier Herrera, Hector Pomares, Ignacio Rojas, Claudia Villalonga
ADVANCES IN COMPUTATIONAL INTELLIGENCE, IWANN 2019, PT I
(2019)
Proceedings Paper
Computer Science, Artificial Intelligence
Francisco Carrillo-Perez, Luis Javier Herrera, Juan Miguel Carceller, Alberto Guillen
ADVANCES IN COMPUTATIONAL INTELLIGENCE, IWANN 2019, PT I
(2019)
Proceedings Paper
Computer Science, Artificial Intelligence
Marti Manzano, Alberto Guillen, Ignacio Rojas, Luis Javier Herrera
INTELLIGENT COMPUTING THEORIES AND APPLICATION, ICIC 2017, PT II
(2017)
Article
Engineering, Chemical
R. Diaz-Alvarez, S. Carpentieri, G. Ferrari, G. Pataro, L. Segura-Ponce
Summary: This study evaluated the effect of high voltage electrical discharge (HVED) on the freeze-drying process of blueberries, and found that HVED pretreatment can enhance freeze-drying rates and improve the quality of the final product.
JOURNAL OF FOOD ENGINEERING
(2024)
Article
Engineering, Chemical
V. I. Tuzhilkin, S. M. Petrov, N. M. Podgornova, N. D. Lukin
Summary: The study aims to simulate the process of isobaric evaporative crystallization of sucrose and propose a three-stage crystallization technology for semi-continuous boiling of massecuites. Through computer simulation and experimental verification, optimal parameters were determined to enhance the efficiency of crystallization.
JOURNAL OF FOOD ENGINEERING
(2024)
Article
Engineering, Chemical
Seong Hwan Yu, Do-Yeong Kim, Youjin Baek, Hyeon Gyu Lee
Summary: This study investigated the effects of nanoencapsulation and gel incorporation on the antioxidant activity, stability, and release profile of curcumin. The results showed that CUR-loaded nanoparticles and CUR NPs-filled gelatin-genipin gels had significantly higher antioxidant activity, stability, and in vitro release profile compared to free CUR. The GL/GP-CUR NPs exhibited the highest antioxidant activity and increased stability, while the CUR NPs had a faster release rate. These findings suggest that GL/GP-CUR NPs have potential as an effective delivery system for CUR in the food industry.
JOURNAL OF FOOD ENGINEERING
(2024)
Article
Engineering, Chemical
Linlin He, Shihong Hu, Gang Zhang, Xiao Wang, Yanna Zhao, Qingpeng Wang, Min Liu, Zhengping Wang, Prakash Sangeeta, Zhuang Ding
Summary: This study developed solid microcapsules containing co-loaded vitamin B12 and D3 using a W1/O/W2 emulsions and spray-drying method. The addition of polysaccharides as co-encapsulants improved the morphological characteristics, encapsulation efficiency, storage stability, and gastrointestinal simulation of the microcapsules. The electrostatic bonding with chitosan and multilayer protection from the W1/O/W2 structure contributed to the high encapsulation efficiency of vitB12. Incorporating polysaccharides into W2 enhanced the particle integrity of the dried powders and improved the retention rate and encapsulation efficiency of vitamins. Sodium carboxymethylcellulose showed the best protection for vitB12 and lower degradation rates for vitD3, while sodium alginate exhibited controlled release and the highest cumulative release under simulated gastric and intestinal conditions, respectively.
JOURNAL OF FOOD ENGINEERING
(2024)
Article
Engineering, Chemical
Ehsan Nasrnia, Morteza Sadeghi, Ali Raeisi Isa-Abadi, Seyed Ahmad Mireei
Summary: A novel mathematical model considering the concept of glass transition was developed for rice intermittent drying process. The model utilized the real 3D body-fitted geometry of rice kernel and was validated through experiments. The glass transition behavior of the rice kernels and the distributions of temperature and moisture at each stage were analyzed.
JOURNAL OF FOOD ENGINEERING
(2024)
Article
Engineering, Chemical
Haoran Pang, Jiaqing Xie, Xiaoyu Meng, Ruqian Sun, Jun Chen, Chengli Guo, Tianfeng Zhou
Summary: A portable organophosphorus pesticide detection device equipped with microfluidic and luminol composite nanofibers was developed in this study. By optimizing the microfluidic chip design and the mass fraction of luminol particles, efficient detection of pesticide residues was achieved.
JOURNAL OF FOOD ENGINEERING
(2024)
Article
Engineering, Chemical
J. Munoz-Postigo, E. M. Valero, M. A. Martinez-Domingo, F. J. Lara, J. L. Nieves, J. Romero, J. Hernandez-Andres
Summary: This paper presents a workflow for classifying the maturity of bell peppers using hyperspectral imaging and machine learning. The approach utilizes spectral reflectance to determine the number of maturity stages and employs optimized bands for accurate classification, achieving satisfactory results.
JOURNAL OF FOOD ENGINEERING
(2024)
Article
Engineering, Chemical
Artem Skrypnik, Sascha Heitkam, Christoph Gerstenberg, Eric Morelle, Christopher McHardy, Cornelia Rauh
Summary: The rheological properties of food play a crucial role in the physical interaction between food and the mouth during chewing and swallowing. This study focuses on the compression of liquid foams to simulate the idealized swallowing process and investigates the flow conditions and their impact on foam properties. The results provide insights into the haptic perception in the mouth during swallowing.
JOURNAL OF FOOD ENGINEERING
(2024)
Article
Engineering, Chemical
Chaojie Mo, Luciano Navarini, Furio Suggi Liverani, Marco Ellero
Summary: This study investigates the effects of swelling on espresso extraction by incorporating a particle-level swelling model into a one-dimensional bed-level extraction model. The results show that swelling only slightly affects the yield and strength at a fixed flow rate, but considerably enhances the strength at a fixed pressure drop. The finer the coffee particles, the more pronounced the enhancement. It is suggested that better control of yield and strength can be achieved by fixing the flow rate in an espresso machine. It is also indicated that numerical extraction simulations, when properly incorporated with relevant physical effects, can be used to predict the extraction kinetics and guide the design and production of espresso machines.
JOURNAL OF FOOD ENGINEERING
(2024)
Article
Engineering, Chemical
Yang Zhong, Yi Lin, Mingxing Yang, Xiaodan Zeng, Dayu Liu, Wenlong Liu, Weijun Chen
Summary: Methyltetrahydrophthalic anhydride (MeTHPA) esterified corn starches (MeCS) with degrees of substitution (DS) ranging from 0.0066 to 0.072 were prepared and found to be effective in stabilizing Pickering emulsion. The modification of MeTHPA damaged the crystal structure of corn starch, roughened its surface structure, and increased its contact angle, which were positively correlated with the DS of MeCS. The particle size of MeCS increased and then decreased with increasing DS, with the smallest size observed for MeCS with a DS of 0.072. The Pickering emulsions stabilized by MeCS with a DS of 0.072 exhibited better stability compared to those stabilized by MeCS with lower DS, which can be attributed to their smaller particle size and higher viscosity. MeCS with a DS of 0.072, at a concentration of 3% (w/v), could maintain emulsion stability even after 50 days of storage. These findings suggest that MeCS with appropriate DS and concentration levels could be effective particle stabilizers for Pickering emulsions.
JOURNAL OF FOOD ENGINEERING
(2024)
Article
Engineering, Chemical
Shubhajit Sarkhel, Anupam Roy
Summary: This study developed a vacuum impregnation technique to enhance the micronutrient content and bioavailability in lentils and reduce phytic acid. The results showed that vacuum impregnation led to higher migration of micronutrients and significantly reduced phytic acid without impacting the quality characteristics. The developed process achieved a substantial reduction in phytic acid-to-mineral molar ratio.
JOURNAL OF FOOD ENGINEERING
(2024)
Article
Engineering, Chemical
L. J. H. Sweers, C. M. M. Lakemond, V. Fogliano, R. M. Boom, M. Mishyna, J. K. Keppler
Summary: This study investigated the use of microfiltration as a gentle processing technique for decontamination and fractionation of edible insects. The results showed that microfiltration effectively removed contaminants and produced distinct fractions with improved properties.
JOURNAL OF FOOD ENGINEERING
(2024)
Article
Engineering, Chemical
Wanfeng Sun, Yu Sun, Yu Wang, Haomeng He
Summary: In this study, a prediction model for the pelleting performance of multi-component mixed powders was proposed, and it was validated by conducting single pelleting experiments on mixtures of different edible powders.
JOURNAL OF FOOD ENGINEERING
(2024)
Article
Engineering, Chemical
Saowaluk Taechutrakul, Thananchai Piroonpan, Wanvimol Pasanphan
Summary: This original research developed active polylactic acid (PLA) film strips functionalized with gallic acid (GA) to extend the shelf-life of bananas. The PLA/mPLA-GA film strips exhibited a homogeneous matrix with improved mechanical properties and showed outstanding antioxidant and oxygen scavenging effects. The results suggest that PLA/mPLA-GA film strips show promise as an active bioplastic for extending the shelf-life of bananas and other fruits.
JOURNAL OF FOOD ENGINEERING
(2024)
Article
Engineering, Chemical
Julien Dupas, Florent Baldeweck, Vincent Meunier
Summary: The flow performance of food powders is crucial in product development, as it can affect the dosing and filling processes. This study investigates the influence of various parameters on the flowability of carbohydrate powders, such as particle size and moisture content.
JOURNAL OF FOOD ENGINEERING
(2024)
