Method of producing a catalyst based on columnar clays for the oxidation of phenols in aqueous solution with hydrogen peroxide, Patent nº 3960 for Utility Mod. 2019
The utility model is related to the field of catalysis, namely, to the technology for producing catalysts based on columnar clays used for the oxidation of phenol with hydrogen peroxide in aqueous solutions. The effect is the reduction of the duration needed to achieve complete phenol degradation by catalytic oxidation in an aqueous solution in the presence of hydrogen peroxide in comparison with the prototype. The new method developed includes washing steps in order to obtain the columnar clays with high levels of purification and elimination of inorganic impurities contained in the raw natural clays.
New dairy product functionalized with mycosterols as hypocholesteremic agents
, Nº 109089. IPB. 2017Read More »
Gomphrena globosa L.: an alternative and promising source for obtaining natural colourants
, Nº 109174. IPB. 2017Read More »
Obtaining a natural ingredient based on rosmarinic acid from leaves of Melissa officinalis L.: extracts for application in the food industry, Nº 109883. 2017
Castanea sativa Mill flowers: aplication as natural preservatives of wine in alternative to sulphites
, Nº 109448. 2015
Process for the production of wine using flowers of Castanea sativa Mill. as natural preservatives in alternative to the addition of sulphites
, IPB&Ind. PCT/IB2017/052535. 2017
Obtaining a catechin-based natural additive from fruits of Arbutus unedo L.”.
, Nº 109361. IPB. 2016Read More »
Method for the preparation of acetobromo-α-D-glucuronic acid methyl ester
, Nº 107646. UM & IPB. 2015Read More »
Dictis® - Bioproduct for the treatment of chestnut blight
, 2015Read More »
Functionalisation of cellulosic substrates for superhydrophobic and oleophobic properties by using actinic radiation curing formulations
, 105534. 2012Read More »
Mobile App Asian-Hornets, N.º 3215/2019 – IGAC 2019. 2019
Asian-Hornets is a mobile App based on a machine-learning model acquired from 4000 images. The App can classify insects through images and is able to identify three types of insects, Honey bee, European wasp and Asian wasp, with an average accuracy of 96%. The App is of interest to beekeepers and the general population. The App can run on Android and iOS.
Software DEEPWINGS® developed by CIMO-IPB researchers, Nº 3214/2019 – IGAC 2019. 2019
Software DEEPWINGS® developed by CIMO-IPB researchers in cooperation with CEDRI-IPB was registered - Nº 3214/2019 – IGAC 2019. DEEPWINGS® is a computer program based on a machine-learning model acquired from 5000 images. The program can be used to segment honey bee wings and is able to identify, automatically, 19 wings landmarks with an accuracy of 97%, for further subspecies classification. This program is of interest of beekeeper researchers.
, Nº 2764/2018 - IGAC. 2018is a computer program whose purpose is to allow the manual annotation in digital images of honeycomb cells in order to build datasets for being used in machine learning models. The program presents some user assistance features to achieve accurate, precise and fast markings. It is possible to annotate the following cell classes: eggs, larvae, capped cells, nectar, pollen, honey, and void. This computer program resulted from the cooperation between CIMO and CeDRI, the Research Centre in Digitalization and Intelligent Robotics at IPB.
, N.º 2765/2018 - IGAC. 2018is a computer program based on a deep learning model, trained from 60,000 images by an artificial intelligence system, whose purpose is to automatically classify and count the cells present in digital pictures of hive combs. It is possible to recognize the following cell classes: eggs, larvae, capped cells, nectar, pollen, honey, and void.
This computer program resulted from the cooperation between CIMO and CeDRI, the Research Centre in Digitalization and Intelligent Robotics at IPB.
, 03/2018/262. 2017is a forest decision support system software to analyse wood mobilisation scenarios in the Trás-os-Montes region based on interactions of wood supply and demand, combining several methods and models including expert opinion, spatially explicit growth and yield models, and price modelsRead More »
Plataforma Florestas do Nordeste
, 03/2018/260. 2017is a web platform combining several forest decision support tools in the Nordeste region to transfer knowledge and technology to forest stakeholders in the region; in addition the platform allows creation, management and dissemination of relevant information to promote sustainable forestry in the regionRead More »
, 03/2017/1233. 2017is an Android Open-Source Project to generate basic mobile applications to transfer forest growth and yield models for even-aged standsRead More »
, OU-025/201. 2016is a software to simulate stand level growth, yield and management of forests stands in the Northeast of PortugalRead More »
FlorNexT 1.0 Pro
, OU-026/201. 2016is a spatially explicit operational research tool to optimize forest management of groups of stands in the Northeast of Portugal according to a series of constraints, and management objectives and criteria including growth and yield, carbon sequestration, fire hazard, and financial indicatorsRead More »
, OU-027/201. 2016is a g fuel consumption, cost and CO2 emissions simulator for forest logistics; it combines two
empirically validated models of truck transportation using Digital Elevation Model (DEM) data and an
open spatial data tool, specifically OpenStreetMap©
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, 2011is an open-source software for building chemical compound libraries, based on a specific chemical template. The compound libraries generated can then be evaluated, using several Virtual Screening tools like molecular docking or QSAR modelling tools.
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, 2010is a software for Virtual Screening using AutoDock4/Vina in a computer cluster using non-dedicated multi-platform computers. MOLA is integrated on a customized Live-CD GNU/LINUX operating system and is distributed as a MOLA.iso file.
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