Article
Microbiology
Patricia Branco, Rute Coutinho, Manuel Malfeito-Ferreira, Catarina Prista, Helena Albergaria
Summary: Brettanomyces bruxellensis is a common microbial hazard in wine production, often controlled by the addition of sulfur dioxide. Recent research has found that Saccharomyces cerevisiae secretes a natural biocide that inhibits the growth and off-flavors production of B. bruxellensis, providing a potential alternative to reduce the need for sulfur dioxide in wines.
Article
Food Science & Technology
Ivan Benito-Vazquez, Ignacio Belda, Javier Ruiz, Javier Vicente, Eva Navascues, Domingo Marquina, Antonio Santos
Summary: A conventional PCR method targeting B. bruxellensis was developed in this study, using a polyvinylpyrrolidone pre-treatment to allow for low detection limit of 10(2) UFC/mL in wine samples. The procedure was simplified by avoiding time-consuming DNA extraction steps, making it easy for application in wineries.
LWT-FOOD SCIENCE AND TECHNOLOGY
(2021)
Article
Biotechnology & Applied Microbiology
Paul Le Montagner, Morgan Guilbaud, Cecile Miot-Sertier, Lysiane Brocard, Warren Albertin, Patricia Ballestra, Marguerite Dols-Lafargue, Vincent Renouf, Virginie Moine, Marie-Noelle Bellon-Fontaine, Isabelle Masneuf-Pomarede
Summary: Brettanomyces bruxellensis is a harmful spoilage yeast in the wine industry, affecting the sensory qualities of wine. This study found that the yeast has the ability to persist and survive in the environment through bioadhesion phenomena. By studying over 50 representative strains, the researchers discovered variations in morphology and physico-chemical surface properties.
Article
Food Science & Technology
Patra Sourri, Chrysoula C. Tassou, George-John E. Nychas, Efstathios Z. Panagou
Summary: Fruit juices are important in a healthy diet, but thermo-acidophilic endospore forming bacteria, such as Alicyclobacillus, can cause spoilage. This review discusses various chemical, physical, and non-thermal treatments to control Alicyclobacillus growth and ensure the quality and shelf life of fruit juices.
Article
Food Science & Technology
Hajnalka Csoma, Zoltan Kallai, Kinga Czentye, Matthias Sipiczki
Summary: We investigated why the yeast St. lactis-condensi can become the dominant species in Essences, a special sweet wine of Tokaj wine region in Hungary. Our research focused on the physiological properties of these yeasts and identified factors that influence their ability to proliferate and persist in high sugar wines. We found that St. lactis-condensi is a fructophilic yeast that can adapt quickly to high sugar concentrations in Essences.
INTERNATIONAL JOURNAL OF FOOD MICROBIOLOGY
(2023)
Article
Biotechnology & Applied Microbiology
Paola Cremonesi, Cristiana Garofalo, Claudia Picozzi, Bianca Castiglioni, Nicola Mangieri, Vesna Milanovic, Andrea Osimani, Lucia Aquilanti
Summary: High sensitive qPCR and ddPCR assays were developed for quantifying total eumycetes and specifically determining contamination levels of spoilage yeasts in bread. The assays demonstrated strong performance in early detection and monitoring of bread quality through gene selection, specificity testing, sensitivity definition, and validation in artificially contaminated samples.
Article
Food Science & Technology
Asrar Nabil Damdam, Levent Osman Ozay, Cagri Kaan Ozcan, Ashwaq Alzahrani, Raghad Helabi, Kahled Nabil Salama
Summary: This paper presents a versatile IoT-enabled electronic nose system to monitor food quality by evaluating the concentrations of VOCs. The system consists of an electronic nose, temperature/humidity sensors, and a microcontroller to send data to the server. The system was used to identify beef spoilage, and the concentrations of VOCs associated with raw beef spoilage were determined.
Article
Microbiology
Hajnalka Csoma, Lajos Acs-Szabo, Laszlo Attila Papp, Zoltan Kallai, Ida Miklos, Matthias Sipiczki
Summary: Traditionally aged Tokaj botrytized sweet wines are exposed to microbial contamination due to their high residual sugar content. Osmotolerant wine-spoilage yeasts, such as Starmerella spp. and Zygosaccharomyces spp., are commonly found in the Tokaj wine-growing region. Z. lentus yeasts were isolated from post-fermented botrytized wines for the first time, and they were found to be osmotolerant and able to grow well in acidic conditions at cellar temperature. These yeasts have low beta-glucosidase and sulphite reductase activities, while the fermentative vigour of Z. lentus strains is lower compared to the control Saccharomyces cerevisiae.
Article
Agronomy
Junning Ma, Yue Guan, Yibing Liu, Gang Wang, Bowen Tai, Fuguo Xing
Summary: Early detection of fungal pathogens in grapes is crucial for preventing economic losses and ensuring food safety. Escherichia coli bioreporters are promising tools for this purpose, but their ability to distinguish multiple fungal spoilers has not been assessed.
POSTHARVEST BIOLOGY AND TECHNOLOGY
(2023)
Article
Engineering, Manufacturing
Jiaqi Lyu, Souran Manoochehri
Summary: This paper presents an online laser-based process monitoring and control system to improve the geometric accuracy and in-plane surface quality for the AM process. A Convolutional Neural Network (CNN) model and PID-based online closed-loop control systems are successfully used to reduce height deviation errors and correct in-plane surface anomalies.
VIRTUAL AND PHYSICAL PROTOTYPING
(2021)
Article
Biotechnology & Applied Microbiology
Lisa M. Frisch, Magdalena A. Mann, David N. Marek, Ludwig Niessen
Summary: Penicillium expansum, the main cause of Blue Mold Decay, is economically significant and poses health concerns due to the production of patulin. A LAMP assay was developed for specific detection, showing high specificity and sensitivity for P. expansum on various fruits. This assay serves as a promising tool for rapid and cost-efficient detection of the fungus in quality control applications in the food and beverage industry.
Article
Multidisciplinary Sciences
Dongming Wang, Limin Cao, Min Zhou, Jixuan Ma, Bin Wang, Jing Yuan, Weihong Chen
Summary: This study aimed to investigate the impact of alcohol intake on lung function levels and the potential effects of different beverage types. The findings showed that moderate alcohol intake, particularly red wine, was associated with improved lung function.
ANNALS OF THE NEW YORK ACADEMY OF SCIENCES
(2022)
Article
Food Science & Technology
Dongxu Guo, Jinfeng Li, Guoxin Yue, Miao Li, Wenze Hu, Ying Shi, Fengming Ma
Summary: The feasibility of magnetization treatment using neodymium magnets for blueberry wine aging was studied. Two magnetization aging devices with different operating modes were used to treat new blueberry wine. The magnetization treatment resulted in faster changes in the basic characteristics of the wine and improved the phenolic substances, antioxidant capacity, and sensory properties of the wine. The M1 mode had a greater positive influence on these properties compared to the M2 mode.
Article
Engineering, Environmental
Songqing Nie, Weiqu Liang, Weiqin Mo, Bingbing Miao, Daiying Wu, Miao Peng, Ruben Gonzalez Crespo, Oscar Sanjuan Martinez
Summary: Climate change affects the growth and composition of grapes, ultimately impacting winemaking, microbiology, and chemistry. The economic value of industrial bio-fuel chains is increasing, promising to be a useful co-product in sustainable agriculture. Under organic modifications, plant parasites increase, requiring the use of suppressive composts to reduce agricultural waste.
STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT
(2021)
Article
Chemistry, Applied
Liang Jiang, Yu Qiu, Morphy C. Dumlao, William A. Donald, Christopher C. Steel, Leigh M. Schmidtke
Summary: This study analyzed the volatile profiles of four naturally infected grape cultivars and laboratory-infected grapes to identify potential markers for Botrytis cinerea infection. Selected volatile organic compounds (VOCs) were found to be highly correlated with two independent measures of B. cinerea infection levels. Ergosterol measurements provided accurate quantification of lab-inoculated samples, while B. cinerea antigen detection was more suitable for naturally infected grapes. Excellent predictive models of infection level were established using selected VOCs, with Q2Y values ranging from 0.784 to 0.959. A time course experiment confirmed the effectiveness of selected VOCs, such as 1,5-dimethyltetralin, 1,5-dimethylnaphthalene, phenylethyl alcohol, and 3-octanol, as markers for B. cinerea quantification, and 2-octen-1ol as an early marker of infection.
Article
Chemistry, Analytical
Juan C. Rodriguez Gamboa, Adenilton J. da Silva, Ismael C. S. Araujo, E. Eva Susana Albarracin, Cristhian M. A. Duran
Summary: Real-time gas classification is a crucial issue for various applications, and recent studies have shown that using SVM and DL models can effectively reduce response time while maintaining reliability. Experiments in this study demonstrated that the rapid detection approach has high potential, achieving reliable estimates with only a fraction of measurement data.
SENSORS AND ACTUATORS B-CHEMICAL
(2021)
Article
Economics
Kerolly Kedma Felix do Nascimento, Fabio Sandro dos Santos, Jader Silva Jale, Silvio Fernando Alves Xavier Junior, Tiago A. E. Ferreira
Summary: This article analyzes and predicts the value of future returns in cryptocurrencies such as Bitcoin, Ethereum, Litecoin, and Ripple, using Markov chain models and examining their memory properties. The findings can provide decision support for traders, investors, and policy-makers.
COMPUTATIONAL ECONOMICS
(2023)
Article
Computer Science, Hardware & Architecture
Luciano S. de Souza, Jonathan H. A. de Carvalho, Tiago A. E. Ferreira
Summary: This article proposes a computational procedure that applies a quantum algorithm to train classical artificial neural networks. By using quantum walk as a search algorithm in a complete graph, the procedure can find all synaptic weights of the neural network. With the advantages of knowing the required number of iterations in advance and avoiding getting stuck in local minimums, this method offers an alternative to the backpropagation algorithm.
IEEE TRANSACTIONS ON COMPUTERS
(2022)
Article
Multidisciplinary Sciences
Luciano Souza, Wilson Rosa de Oliveira, Cicero Carlos Ramos de Brito, Christophe Chesneau, Renan Fernandes, Tiago A. E. Ferreira
Summary: This paper introduces a new class of trigonometric distributions based on the secant function, which modifies the tails and overall skewness features of well-known distributions. The unique four-parameter continuous distribution of this class, defined with the Kumaraswamy-Weibull distribution as the baseline, is emphasized. The model parameters are estimated using the maximum likelihood method. A numerical simulation study shows that the proposed secant Kumaraswamy-Weibull model outperforms important competitors.
Article
Physics, Multidisciplinary
Frankbelson dos Santos Azevedo, Jose Diego M. de Lima, Antonio de Padua Santos, Tiago A. E. Ferreira, Fernando Moraes
Summary: By utilizing both ray and wave optics, it has been demonstrated that a straightforward device composed of a hyperbolic metamaterial film on a catenoid surface is capable of light trapping. The study of light trajectories reveals a tendency for the rays to wrap and become trapped around the device's neck. The wave equation exhibits an effective attractive potential, and the solutions confirm the bound states suggested by the trajectories.
Article
Mathematics, Interdisciplinary Applications
Kerolly Kedma Felix Do Nascimento, Fabio Sandro Dos Santos, Jader Silva Jale, Silvio Fernando Alves Xavier Junior, Tiago A. E. Ferreira
Summary: This paper investigates the impact of the COVID-19 pandemic on the cryptocurrency market, finding a change in the direction of information flow and the dominance of Ethereum during the pandemic.
FRACTALS-COMPLEX GEOMETRY PATTERNS AND SCALING IN NATURE AND SOCIETY
(2022)
Article
Mathematics, Interdisciplinary Applications
Kerolly Kedma Felix Do Nascimento, Fabio Sandro Dos Santos, Kellyma Kellyashin Felix Do Nascimento, Kenikywaynne Kerowaynne Felix Do Nascimento, Silvio Fernando Alves Xavier Junior, Jader silva Jale, Tiago A. E. Ferreira
Summary: This study evaluates the Brazilian agricultural commodities market and the dollar-real exchange price variation using the multifractal detrended fluctuations analysis methodology. The results show that during the COVID-19 pandemic, both agricultural commodities and the dollar-real exchange rate exhibited record-high fluctuations.
FRACTALS-COMPLEX GEOMETRY PATTERNS AND SCALING IN NATURE AND SOCIETY
(2022)
Article
Quantum Science & Technology
Carsten Blank, Adenilton J. da Silva, Lucas P. de Albuquerque, Francesco Petruccione, Daniel K. Park
Summary: Quantum computing offers exciting opportunities for kernel-based machine learning methods, allowing efficient construction of classifier models through quantum interference effects. To make these methods practical, it is important to minimize circuit size and handle imbalanced data sets.
QUANTUM SCIENCE AND TECHNOLOGY
(2022)
Article
Computer Science, Artificial Intelligence
Gerson R. Santos, Antonio de Padua Santos, Pavlos Protopapas, Tiago A. E. Ferreira
Summary: This article presents a computational procedure based on Artificial Neural Networks (ANN) to recognize gravitational wave signals from LIGO data, allowing estimation of the damping time of the astronomical system through analysis of the score time series.
EXPERT SYSTEMS WITH APPLICATIONS
(2022)
Article
Computer Science, Artificial Intelligence
Ademir Batista dos Santos Neto, Maria da Conceicao Moras Batista, Tiago A. E. Ferreira
Summary: This article presents a methodology developed to identify pent-up demand by analyzing commercial invoices, using Brazil as a case study. By collecting information from electronic invoices, it is possible to quantitatively evaluate the existence of pent-up demand for certain products in specific regions, and create decision support mechanisms.
EXPERT SYSTEMS WITH APPLICATIONS
(2022)
Article
Quantum Science & Technology
Israel F. Araujo, Daniel K. Park, Teresa B. Ludermir, Wilson R. Oliveira, Francesco Petruccione, Adenilton J. da Silva
Summary: The theory of quantum algorithms promises the benefits of using the laws of quantum mechanics to solve computational problems. However, a prerequisite for applying these algorithms is loading classical data onto a quantum state. Existing methods either require linear growth in quantum circuit depth or width, nullifying the advantage of representing exponentially many classical data in a quantum state. This paper presents a configurable bidirectional procedure that balances the trade-off between quantum circuit width and depth, allowing for sublinear growth when encoding N-dimensional classical data.
QUANTUM INFORMATION PROCESSING
(2023)
Article
Green & Sustainable Science & Technology
Fabio Sandro dos Santos, Kerolly Kedma Felix do Nascimento, Jader da Silva Jale, SilvioFernando Alves Xavier Junior, Tiago A. E. Ferreira
Summary: With increasing concerns about the greenhouse effect and carbon dioxide levels, it is necessary to curtail the use of fossil fuels. In this study, a Weibull-Weibull distribution mixture was applied to adjust wind speed data from 575 weather stations, and wind energy generation was predicted. The model performed well and provided suitable fits for different regions in Brazil.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2024)
Article
Optics
Adenilton J. da Silva, Daniel K. Park
Summary: The paper presents a systematic procedure for decomposing multiqubit controlled unitary gates into controlled -NOT and single-qubit gates to minimize quantum circuit depth. The algorithm does not require ancillary qubits and achieves a quadratic reduction in circuit depth compared to known methods.
Article
Quantum Science & Technology
Tiago M. L. de Veras, Leon D. da Silva, Adenilton J. da Silva
Summary: Initializing classical data in a quantum device is a crucial step in many quantum algorithms. This paper proposes a quantum state preparation algorithm called CVO-QRAM, whose computational cost depends on the number of nonzero probability amplitudes and the maximum number of bits with a value of 1 in one of the patterns to be stored. This algorithm can be an alternative for creating sparse states in future noisy intermediate-scale quantum devices.
QUANTUM INFORMATION PROCESSING
(2022)
Article
Mathematics, Applied
Luciano Souza, de O. Wilson Rosa Junior, Cicero Carlos R. de Brito, Christophe Chesneau, Renan L. Fernandes, Tiago A. E. Ferreira
Summary: This paper introduces a new general class of trigonometric distributions based on the tangent function, called the Tan-G class. The mathematical procedure and parameter estimation method were carried out for the Tan-G class, with a focus on the particular member Tan-BXII distribution. The application of the Tan-BXII model to a practical dataset illustrated the importance of the Tan-G class for practitioners.
CUBO-A MATHEMATICAL JOURNAL
(2021)