filmeu

Docente
Pedro Nuno De Sousa Sampaio

Pedro Nuno De Sousa Sampaio
ped***@ulusofona.pt
AF12-6ABA-43D8
0000-0003-2917-4904

Resume

Pedro Nuno Sousa Sampaio. Concluiu o(a) Doutoramento em Biotecnologia em 2009 pelo(a) Universidade de Lisboa Instituto Superior Técnico, Mestrado em Engenharia Bioquímica - Biotecnologia em 2002 pelo(a) Universidade de Lisboa Instituto Superior Técnico e Licenciatura em Bioquímica em 1997 pelo(a) Universidade de Lisboa Faculdade de Ciências. Nas suas atividades profissionais interagiu com 13 colaborador(es) em coautorias de trabalhos científicos. No seu currículo Ciência Vitae os termos mais frequentes na contextualização da produção científica, tecnológica e artístico-cultural são: Infrared spectroscopy; Helicobacter pylori; Gastric adenocarcinoma cells; Biomarkers; Espectroscopia de infravermelho; Células de adenocarcinoma gástrico; Biomarcadores; Bioprocess; FT-MIR spectroscopy; Metabolic pro¿ling; PCA; Cultivation; High-throughput analysis; Mid-infrared spectroscopy; Partial least square regression; Principal components analysis; Recombinant cyprosin; Antibiotic resistance; Infra-red spectroscopy; Photodynamic therapy; Mid infrared spectroscopy; Near infrared spectroscopy; Saccharomyces cerevisiae; Biopharmaceuticals; Bioprocess monitoring; Near-infrared spectroscopy; Partial least squares models; PLS: Process analytical technologies; PAT; .

Graus

  • Licenciatura
    Bioquímica
  • Mestrado
    Engenharia Bioquímica - Biotecnologia
  • Doutoramento
    Biotecnologia

Publicações

Preprint

Journal article

  • 2023-12-30, Relationship between Physicochemical and Cooking Quality Parameters with Estimated Glycaemic Index of Rice Varieties, Foods
  • 2023-08-09, Development of Prediction Models for the Pasting Parameters of Rice Based on Near-Infrared and Machine Learning Tools, Applied Sciences
  • 2023-06-01, Machine Learning: A Suitable Method for Biocatalysis, Catalysts
  • 2022-09-01, Antimicrobial evaluation of the Cynara cardunculus extract in Helicobacter pylori cells using mid-infrared spectroscopy and chemometric methods, Journal of Applied Microbiology
  • 2021-12-05, Use of Artificial Neural Network Model for Rice Quality Prediction Based on Grain Physical Parameters, Foods
  • 2021-03-02, 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, Journal of Chemometrics
  • 2020-12-12, Potential of FTIR-Spectroscopy for Drugs Screening against Helicobacter pylori, Antibiotics
  • 2019-12-21, Identification of rice flour types with near-infrared spectroscopy associated with PLS-DA and SVM methods, European Food Research and Technology
  • 2019, Characterization of gastric cells infection by diverse Helicobacter pylori strains through Fourier-transform infrared spectroscopy, Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy
  • 2018-03, Optimization of rice amylose determination by NIR-spectroscopy using PLS chemometrics algorithms. , Food chemistry
  • 2017-12, Dataset of Near-infrared spectroscopy measurement for amylose determination using PLS algorithms, Data in Brief
  • 2017-10-04, Optimization of Clotting Donkey Milk Using an Aspartic Protease fromCynara Cardunculus Flowers, J Adv Dairy Res
  • 2017-10, Dataset of Near-infrared spectroscopy measurement for amylose determination using PLS algorithms., Data in brief
  • 2014-10, In situ near infrared spectroscopy monitoring of cyprosin production by recombinant Saccharomyces cerevisiae strains, Journal of Biotechnology
  • 2014-05, A novel fed-batch based strategy for enhancing cell-density and recombinant cyprosin B production in bioreactor., Bioprocess and Biosystem Engineering
  • 2011-06-23, Use of chemometrics in the selection of a Saccharomyces cerevisiae expression system for recombinant cyprosin B production., Biotechnol Lett
  • 2010-10, Optimization of the culture medium composition using response surface methodology for new recombinant cyprosin B production in bioreactor for cheese production., Eur Food Res Technol
  • 2010-02-17, Overexpression and characterization of cyprosin B in transformed suspension cells of Cynara cardunculus., Plant Cell Tiss Organ Cult
  • 2008-04, Production and characterization of recombinant cyprosin B in Saccharomyces cerevisiae (W303-1A) strain.
  • 2003-12, Use of recombinant cyprosin in the manufacture of ewe's milk cheese.

Conference paper

  • Modelling, monitoring and control of plasmid bioproduction in Escherichia coli cultures
  • Development of a high-throughput monitoring technique of bacteria photodynamic inactivation
  • Comparative analysis of near and mid-infrared spectroscopy to monitor recombinant cyprosin production
  • Classification of recombinant Saccharomyces cerevisiae cells using PLS-DA modelling based on MIR spectroscopy
  • 2023-06-22, New approach for rapid detection of bioactive compounds using MIR spectroscopy and machine learning algorithms
  • 2015-02, Molecular fingerprint of human gastric cell line infected by Helicobacter pylori

Conference poster

  • 2023-03, Preliminary approach based on machine learning algorithms for commercial classification of rice types, Dare2Change
  • 2007-08, Genotype characterisation of populations of Cynara cardunculus L. var. altilis DC. used as a milk clotting plant for Portuguese PDO cheese, 6th Biennial Conference of Systematics Association, 28-31 August 2007, Edinburgh (UK)
  • 2004, Production in bioreactor of a plant aspartic protease from Cynara cardunculus (cyprosin B) expressed in a recombinant Saccharomyces cerevisiae W303-1A strain, Congresso Nacional de Bioquimica

Patent

  • Pharmaceutical composition containing the enzyme cyprosin B an aspartic peptidase from Cynara cardunculus and its inclusion in anti-tumorals formulations, WO 2009/040778 A, ECBIO

Research technique

  • Enzymatic additive licenced as GRAS by Food and Drugs Administration (FDA): Cynzime® Milk Clotting Enzyme Preparation Derived from Cynara cardunculus Flowers

Other output

  • 2019, Characterization of gastric cells infection by diverse Helicobacter pylori strains through Fourier-transform infrared spectroscopy, The infection of Helicobacter pylori, covering 50% of the world-population, leads to diverse gastric diseases as ulcers and cancer along the life-time of the human host. To promote the discovery of biomarkers of bacterial infection, in the present work, Fourier-transform infrared spectra were acquired from adenocarcinoma gastric cells, incubated with H. pylori strains presenting different genotype
  • 2017, Metabolic pro¿ling of recombinant Escherichia coli cultivations based on high-throughput FT-MIR spectroscopic analysis, Escherichia coli is one of the most used host microorganism for the production of recombinant products, such as heterologous proteins and plasmids. However, genetic, physiological and environmental factors in¿uence the plasmid replication and cloned gene expression in a highly complex way. To control and optimize the recombinant expression system performance, it is very important to understand thi
  • 2017, High-throughput FTIR-based bioprocess analysis of recombinant cyprosin production, To increase the knowledge of the recombinant cyprosin production process in Saccharomyces cerevisiae cultures, it is relevant to implement efficient bioprocess monitoring techniques. The present work focuses on the implementation of a mid-infrared (MIR) spectroscopy-based tool for monitoring the recombinant culture in a rapid, economic, and high-throughput (using a microplate system) mode. Multiva
  • 2015, In Situ Near-Infrared (NIR) Versus High-Throughput Mid- Infrared (MIR) Spectroscopy to Monitor Biopharmaceutical Production, The development of biopharmaceutical manufacturing processes presents critical constraints, with the major constraint being that living cells synthesize these molecules, presenting inherent behavior variability due to their high sensitivity to small fluctuations in the cultivation environment. To speed up the development process and to control this critical manufacturing step, it is relevant to de

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