Cargando…

Extraction of Phenolic Compounds with Antioxidant Activity from Strawberries: Modelling with Artificial Neural Networks (ANNs)

This research study focuses on the evaluation of the total phenolic compounds (TPC) and antioxidant activity (AOA) of strawberries according to different experimental extraction conditions by applying the Artificial Neural Networks (ANNs) technique. The experimental data were applied to train ANNs u...

Descripción completa

Detalles Bibliográficos
Autores principales:	Golpour, Iman, Ferrão, Ana Cristina, Gonçalves, Fernando, Correia, Paula M. R., Blanco-Marigorta, Ana M., Guiné, Raquel P. F.
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2021
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8472351/ https://www.ncbi.nlm.nih.gov/pubmed/34574338 http://dx.doi.org/10.3390/foods10092228

Ejemplares similares

Perceptions Towards Healthy Diet of the Portuguese According to Area of Work or Studies
por: Ferrão, Ana Cristina, et al.
Publicado: (2019)

Co-pigmentation of strawberry anthocyanins with phenolic compounds from rooibos
por: Erşan, Sevcan, et al.
Publicado: (2022)

Profiles of Volatile and Phenolic Compounds as Markers of Ripening Stage in Candonga Strawberries
por: Cozzolino, Rosaria, et al.
Publicado: (2021)

Rich in Phenolics—Strong Antioxidant Fruit? Comparative Study of 25 Strawberry Cultivars
por: Milosavljević, Dragica M., et al.
Publicado: (2022)

Adding value to strawberry agro-industrial by-products through ultraviolet A-induced biofortification of antioxidant and anti-inflammatory phenolic compounds
por: Villamil-Galindo, Esteban, et al.
Publicado: (2022)

RegnANN: Reverse Engineering Gene Networks Using Artificial Neural Networks
por: Grimaldi, Marco, et al.
Publicado: (2011)

Flux prediction using artificial neural network (ANN) for the upper part of glycolysis
por: Ajjolli Nagaraja, Anamya, et al.
Publicado: (2019)

Modelling of Behavior for Inhibition Corrosion of Bronze Using Artificial Neural Network (ANN)
por: Millán-Ocampo, D. Elusaí, et al.
Publicado: (2018)

Artificial Neural Network (ANN) Modeling for Predicting Performance of SBS Modified Asphalt
por: Zhong, Ke, et al.
Publicado: (2022)

A Review on Membrane Fouling Prediction Using Artificial Neural Networks (ANNs)
por: Abuwatfa, Waad H., et al.
Publicado: (2023)

Optimization of the Extraction Conditions of Antioxidant Phenolic Compounds from Strawberry Fruits (Fragaria x ananassa Duch.) Using Response Surface Methodology
por: Koraqi, Hyrije, et al.
Publicado: (2023)

Phenolic Compounds as Potential Antioxidant
por: Pourreza, Nahid
Publicado: (2013)

Artificial Neural Networks with TensorFlow 2: ANN Architecture Machine Learning Projects
por: Sarang, Poornachandra
Publicado: (2020)

Forecasting of COVID 19 Cases in Karnataka State using Artificial Neural Network (ANN)
por: Shetty, Rashmi P., et al.
Publicado: (2021)

Assessment of Böhme Abrasion Value of Natural Stones through Artificial Neural Networks (ANN)
por: Strzałkowski, Paweł, et al.
Publicado: (2022)

Antioxidant Activity of Lignin Phenolic Compounds Extracted from Kraft and Sulphite Black Liquors
por: Faustino, Hélio, et al.
Publicado: (2010)

Classification of Dried Strawberry by the Analysis of the Acoustic Sound with Artificial Neural Networks
por: Przybył, Krzysztof, et al.
Publicado: (2020)

Assessment of Bioactive Phenolic Compounds and Antioxidant Activity of Blackberry Wines
por: Amidžić Klarić, Daniela, et al.
Publicado: (2020)

Classifying Sources Influencing Indoor Air Quality (IAQ) Using Artificial Neural Network (ANN)
por: Mad Saad, Shaharil, et al.
Publicado: (2015)

Tropospheric Ozone Formation Estimation in Urban City, Bangi, Using Artificial Neural Network (ANN)
por: Abdul Aziz, Fatin Aqilah Binti, et al.
Publicado: (2019)

Controlling Electronic Devices with Brain Rhythms/Electrical Activity Using Artificial Neural Network (ANN)
por: Muhammad, Yar, et al.
Publicado: (2019)

Modeling of Cu(II) Adsorption from an Aqueous Solution Using an Artificial Neural Network (ANN)
por: Khan, Taimur, et al.
Publicado: (2020)

PDAC-ANN: an artificial neural network to predict pancreatic ductal adenocarcinoma based on gene expression
por: Almeida, Palloma Porto, et al.
Publicado: (2020)

Predicting the 14-Day Hospital Readmission of Patients with Pneumonia Using Artificial Neural Networks (ANN)
por: Tey, Shu-Farn, et al.
Publicado: (2021)

Hydrological drought forecasting and monitoring system development using artificial neural network (ANN) in Ethiopia
por: Tareke, Kassa Abera, et al.
Publicado: (2023)

Investigation of the dehydration of ulexite ore with different parameters and modeling with artificial neural network (ANN) method
por: KOCADAĞİSTAN, Mustafa Engin
Publicado: (2022)

Antioxidant Phenolic Compounds of Dracaena Cambodiana
por: Luo, Ying, et al.
Publicado: (2010)

Exploring the Antioxidant Potential of Phenolic Compounds from Winery By-Products by Hydroethanolic Extraction
por: Costa, Rui Dias, et al.
Publicado: (2023)

Comparative Study on the Phenolic Fingerprint and Antioxidant Activity of Strawberry Tree (Arbutus unedo L.) Leaves and Fruits
por: Brčić Karačonji, Irena, et al.
Publicado: (2021)

Use of image analysis to estimate anthocyanin and UV-excited fluorescent phenolic compound levels in strawberry fruit
por: Yoshioka, Yosuke, et al.
Publicado: (2013)

Phenolic Compounds in Honey and Their Relationship with Antioxidant Activity, Botanical Origin, and Color
por: Becerril-Sánchez, Ana L., et al.
Publicado: (2021)

Artificial Neural Networks (ANN) for the Simultaneous Spectrophotometric Determination of Fluoxetine and Sertraline in Pharmaceutical Formulations and Biological Fluid
por: Akbari Hasanjani, Hamid Reza, et al.
Publicado: (2017)

Artificial Neural Network (ANN) Approach to Predict an Optimized pH-Dependent Mesalamine Matrix Tablet
por: Khan, Asad Majeed, et al.
Publicado: (2020)

Electrochemical inhibition bacterial sensor array for detection of water pollutants: artificial neural network (ANN) approach
por: Abu-Ali, Hisham, et al.
Publicado: (2019)

Heat Rate Prediction of Combined Cycle Power Plant Using an Artificial Neural Network (ANN) Method
por: Arferiandi, Yondha Dwika, et al.
Publicado: (2021)

Personality and travel intentions during and after the COVID-19 pandemic: An artificial neural network (ANN) approach
por: Talwar, Shalini, et al.
Publicado: (2022)

New Biological and Chemical Insights into Optimization of Chamomile Extracts by Using Artificial Neural Network (ANN) Model
por: Cvetanović Kljakić, Aleksandra, et al.
Publicado: (2023)

An app for predicting nurse intention to quit the job using artificial neural networks (ANNs) in Microsoft Excel
por: Chen, Hsiu-Chin, et al.
Publicado: (2022)

Phenolic Compounds and Antioxidant Activities of Liriope muscari
por: Li, Wen Jie, et al.
Publicado: (2012)

Antioxidant Activity of Synthetic Polymers of Phenolic Compounds
por: Nagarajan, Subhalakshmi, et al.
Publicado: (2020)

Cannot write session to /tmp/vufind_sessions/sess_iufnp9nshqvipbbs2qhqtnt3h1