Pedro Sampaio

Associated Professor

Portugal

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About

Pedro Sampaio is an Associated Professor at the Faculty of Engineering, ULHT in Portugal. His research interests encompass biotechnology in the circular economy, machine learning applications in agriculture, and the evaluation of bioactive compounds. Recent publications include advancements in near-infrared spectroscopy for rice evaluation and methodologies for rapid screening of fumonisins in maize.

Articles (12)

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2025

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2025

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2025

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2024

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2024

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2023

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2023

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2023

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2022

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2021

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2021

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2020

Collaborators (4)

Cecília Calado

Professor

Universidade de Lisboa Instituto Superior Técnico

PORTUGAL

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Vanda Lourenço

Assistant Professor

Faculdade de Ciências da Universidade de Lisboa

PORTUGAL

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Pedro Fernandes

Associação para o Desenvolvimento do Instituto Superior Técnico

PORTUGAL

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Pedro Carmona Marques

PORTUGAL

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Pedro Sampaio

Research Interests

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Articles (12)

Advances in Biotechnology in the Circular Economy: A Path to the Sustainable Use of Resources

Spectral markers and machine learning: Revolutionizing Rice evaluation with near infrared spectroscopy

Rapid screening of fumonisins in maize using near-infrared spectroscopy (NIRS) and machine learning algorithms

A new methodology for a rapid and high-throughput comparison of molecular profiles and biological activity of phytoextracts

Enhancing Bioactive Compound Classification through the Synergy of Fourier-Transform Infrared Spectroscopy and Advanced Machine Learning Methods

Development of Prediction Models for the Pasting Parameters of Rice Based on Near-Infrared and Machine Learning Tools

Machine Learning: A Suitable Method for Biocatalysis

Relationship between Physicochemical and Cooking Quality Parameters with Estimated Glycaemic Index of Rice Varieties

Antimicrobial evaluation of the Cynara cardunculus extract in Helicobacter pylori cells using mid-infrared spectroscopy and chemometric methods

Use of Artificial Neural Network Model for Rice Quality Prediction Based on Grain Physical Parameters

Comparison of partial least squares‐discriminant analysis and soft independent modeling of class analogy methods for classification of Saccharomyces cerevisiae cells based on mid‐infrared spectroscopy

Potential of FTIR-Spectroscopy for Drugs Screening against Helicobacter pylori

Collaborators (4)

Cecília Calado

Vanda Lourenço

Pedro Fernandes

Pedro Carmona Marques

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