Trends in Food Science & Technology, 2020, 106, 30-47
Monday, 28 September 2020
Friday, 25 September 2020
Antibiotics 2020, 9(10), 642
In the last few decades, attention on new natural antimicrobial compounds has arisen due to a change in consumer preferences and the increase in the number of resistant microorganisms. Macroalgae play a special role in the pursuit of new active molecules as they have been traditionally consumed and are known for their chemical and nutritional composition and their biological properties, including antimicrobial activity. Among the bioactive molecules of algae, proteins and peptides, polysaccharides, polyphenols, polyunsaturated fatty acids and pigments can be highlighted. However, for the complete obtaining and incorporation of these molecules, it is essential to achieve easy, profitable and sustainable recovery of these compounds. For this purpose, novel liquid–liquid and solid–liquid extraction techniques have been studied, such as supercritical, ultrasound, microwave, enzymatic, high pressure, accelerated solvent and intensity pulsed electric fields extraction techniques. Moreover, different applications have been proposed for these compounds, such as preservatives in the food or cosmetic industries, as antibiotics in the pharmaceutical industry, as antibiofilm, antifouling, coating in active packaging, prebiotics or in nanoparticles. This review presents the main antimicrobial potential of macroalgae, their specific bioactive compounds and novel green extraction technologies to efficiently extract them, with emphasis on the antibacterial and antifungal data and their applications.
Saturday, 19 September 2020
Use of Spectroscopic Techniques to Monitor Changes in Food Quality during Application of Natural Preservatives: A Review
Antioxidants 2020, 9(9), 882
Consumer demand for food of high quality has driven research for alternative methods of food preservation on the one hand, and the development of new and rapid quality assessment techniques on the other hand. Recently, there has been a growing need and interest in healthier food products, which has led to an increased interest in natural preservatives, such as essential oils, plant extracts, and edible films and coatings. Several studies have shown the potential of using biopreservation, natural antimicrobials, and antioxidant agents in place of other processing and preservation techniques (e.g., thermal and non-thermal treatments, freezing, or synthetic chemicals). Changes in food quality induced by the application of natural preservatives have been commonly evaluated using a range of traditional methods, including microbiology, sensory, and physicochemical measurements. Several spectroscopic techniques have been proposed as promising alternatives to the traditional time-consuming and destructive methods. This review will provide an overview of recent studies and highlight the potential of spectroscopic techniques to evaluate quality changes in food products following the application of natural preservatives.
Friday, 18 September 2020
Valorization of by-products from olive oil industry and added-value applications for innovative functional foods
Food Research International, 2020, 137, 109683
Thursday, 17 September 2020
Non-invasive biomonitoring of organic pollutants using feather samples in feral pigeons (Columba livia domestica)
Environmental Pollution, 2020, 267, 115672
Thursday, 3 September 2020
Biological Evaluation, DFT Calculations and Molecular Docking Studies on the Antidepressant and Cytotoxicity Activities of Cycas pectinata Buch.-Ham. Compounds
Pharmaceuticals 2020, 13(9), 232
Cycas pectinata Buch.-Ham. is commonly used in folk medicine against various disorders. The present study investigated the antidepressant and cytotoxicity activity of methanol extract of C. pectinata (MECP) along with quantitative phytochemical analysis by GC-MS method. Here, the GC-MS study of MECP presented 41 compounds, among which most were fatty acids, esters, terpenoids and oximes. The antidepressant activity was assessed by the forced swimming test (FST) and tail suspension test (TST) models. In contrast, MECP (200 and 400 mg/kg) exhibited a significant and dose-dependent manner reduction in immobility comparable with fluoxetine (10 mg/kg) and phenelzine (20 mg/kg). MECP showed a weak toxicity level in the brine shrimp lethality bioassay (ED50: 358.65 µg/mL) comparable to the standard drug vincristine sulfate (ED50: 2.39 µg/mL). Three compounds from the GC-MS study were subjected to density functional theory (DFT) calculations, where only cyclopentadecanone oxime showed positive and negative active binding sites. Cyclopentadecanone oxime also showed a good binding interaction in suppressing depression disorders by blocking monoamine oxidase and serotonin receptors with better pharmacokinetic and toxicological properties. Overall, the MECP exhibited a significant antidepressant activity with moderate toxicity, which required further advance studies to identify the mechanism.
Wednesday, 2 September 2020
For the past few years, the increasing world population has given place to an increase in the demand for food products.
A large number of variables (agronomic, climatic, political, economic, etc.) can influence on agricultural production. All these features give rise to a large database that can be used to develop tools aimed at improving the management practices, production, harvesting, processing, conservation, selling and subsequent waste treatment that could solve the future challenges related to the climate variation, proliferation of diseases, crops improve and supply.
These tools, from the simplest (regression) to the most complex (neural networks, vector support machines, among others) allow to expand the existing knowledge to the entire agricultural process (from cradle to cradle).
The aim of this Special Issue about the “Artificial Intelligence (AI) in Agriculture” is to collect the most recent research using any kind of AI model related (but not limited) to: machine learning, remote sensing, machine vision, modelling, prediction, optimization, decision support, food authenticity, big data, blockchain, etc.
You are welcome to send research articles, reviews, communications and concept papers. Manuscripts should be submitted online at www.mdpi.com
- Artificial Intelligence
- Machine learning
- Deep learning
- Image Analysis/Processing
- Computer Vision
- Internet of Things (IoT)
- Big Data/Cloud Computing
- Remote Sensing
- Decision support
Tuesday, 1 September 2020
El coordinador del grupo AA1, Jesús Simal Gándara, entrará a formar parte de la Real Academia de Farmacia de Galicia, RAFG, como miembro numerario. Centrará su discurso en la sostenibilidad del sistema de producción y consumo de alimentos -La ceremonia, pendiente del Covid-19.