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Sarmento J. Mazivila was born on the 25th of September 1985 and grew up in Mozambique and after finishing high school in Maxixe his hometown, he moved to Maputo the Mozambican capital for his undergraduate studies. He graduated in Chemistry Teaching from the Pedagogical University of Maputo, Maputo-Mozambique in 2010. He subsequently moved to Uberlândia city, Minas Gerais, Brazil to pursue his Master's Degree in Chemistry with emphasis on Chemometrics in Analytical Chemistry (CAC) at Institute of Chemistry, Federal University of Uberlândia (UFU), where completed his MSc Degree in 2015. He subsequently moved to Porto city, Portugal where he received a PhD in Sustainable Chemistry (the new name of Industrial Chemistry as presented by SusChem, www.suschem.org, the European Technology Platform for Sustainable Chemistry) with emphasis on CAC from the Department of Chemistry and Biochemistry, Faculty of Sciences, University of Porto in 2020. The Doctoral Program in Sustainable Chemistry is a joint degree of the University of Aveiro, Nova University of Lisbon, and University of Porto. During his PhD, he stayed for three months at Department of Analytical Chemistry, Faculty of Biochemical and Pharmaceutical Sciences, National University of Rosario, Argentina, doing his PhD mobility under the supervision of Full Professor Alejandro Cesar Olivieri. In early 2021, PhD Mazivila become a Portuguese Citizen (European Citizen) through naturalization after he had been living for 5 years in Portugal. PhD Mazivila has authored and co-authored 21 original research articles and tutorial/review papers in highly ranked international peer-reviewed Journals, with an accumulated H-index of 10. He has been serving as a reviewer of over 30 international journals including Analyst, Talanta, Fuel, Microchemical Journal, Analytical Methods as listed in Peer review summary available online at: https://publons.com/researcher/ABC-1863-2020. His scientific background is in Chemometrics in Analytical Chemistry, more specifically on the application of first-, second- and third-order multivariate strategies coupled to various analytical techniques for the analysis of complex samples. He also has experience in: a) experimental design and multiple response optimization using Design-Expert software; b) classification models, particularly data driven soft independent modeling of class analogy (DD-SIMCA) as one-class classifier and discrimination models with emphasis on partial least-squares - discriminant analysis (PLS-DA) under hard-traditional and modified versions. After completing his doctoral studies, he joined the Associated Laboratory for Green Chemistry (LAQV) of the Network of Chemistry and Technology (REQUIMTE) - the Portuguese Research Centre for Sustainable Chemistry as a Postdoctoral scientist. He has been working on two advanced projects, namely: i) real-time monitoring with focus on process analytical chemistry (PAC) and process analytical technology (PAT), as can be seen in his authored relevant review paper entitled: "A review on multivariate curve resolution applied to spectroscopic and chromatographic data acquired during the real-time monitoring of evolving multi-component processes: From process analytical chemistry (PAC) to process analytical technology (PAT)" doi: https://doi.org/10.1016/j.trac.2022.116698, which has been published in TrAC - Trends in Analytical Chemistry (the most highly regarded and highest-ranked journal directed to Analytical Chemistry); ii) multi-way data processing of excitation-emission fluorescence matrices acquired from semiconductor quantum dots (QDs) sensing platforms, as can be seen in his authored relevant tutorial article with a following reference: A tutorial on multi-way data processing of excitation-emission fluorescence matrices acquired from semiconductor quantum dots sensing platforms, Analytica Chimica Acta 1211 (2022) 339216, doi: https://doi.org/10.1016/j.aca.2021.339216.
Identificação

Identificação pessoal

Nome completo
Sarmento Júnior Mazivila

Nomes de citação

  • Mazivila, Sarmento
  • Mazivila, Sarmento J.

Identificadores de autor

Ciência ID
141C-39E8-6B01
ORCID iD
0000-0001-5644-723X

Endereços de correio eletrónico

  • sarmento.mazivila@fc.up.pt (Profissional)
  • mazivilasarmentojunior@yahoo.com.br (Pessoal)

Websites

  • https://orcid.org/0000-0001-5644-723X (Académico)
  • https://publons.com/researcher/3976712/sarmento-j-mazivila/ (Académico)
  • https://www.researchgate.net/profile/Sarmento-Mazivila (Académico)

Domínios de atuação

  • Ciências Exatas - Química - Química Analítica
Formação
Grau Classificação
2016/02/10 - 2020/06/22
Concluído
Química Sustentável (Doutoramento)
Especialização em Quimiometria em Química Analítica
Universidade do Porto Faculdade de Ciências, Portugal
"Chemometrics coupled to vibrational spectroscopy and HPLC-DAD for the analysis of medicinal drugs and real-time monitoring of pharmaceutical cocrystallization/salification process" (TESE/DISSERTAÇÃO)
2013/04/22 - 2015/01/16
Concluído
Química (Master)
Especialização em Quimiometria em Química Analítica
Universidade Federal de Uberlândia Instituto de Química, Brasil
"Controle de Qualidade de Biodieseis de Soja e Pinhão Manso usando Espectroscopia no Infravermelho Médio e Análise Discriminante por Quadrados Mínimos Parciais" (TESE/DISSERTAÇÃO)
2006/02/22 - 2010/12/07
Concluído
Bacharelato e Licenciatura em Ensino de Química (Bachelor (1.º ciclo de estudos))
Especialização em Química Educacional
Universidade Pedagógica de Maputo, Moçambique
"Avaliação da Turbidez das Aguas do Rio Malauze usando Espectrofotometria de Absorção Molecular UV-Visível" (TESE/DISSERTAÇÃO)
Produções

Publicações

Artigo em revista
  1. "Outside Front Cover". Analytica Chimica Acta 1211 (2022): 339947-339947. http://dx.doi.org/10.1016/s0003-2670(22)00518-9.
    10.1016/s0003-2670(22)00518-9
  2. Sarmento J. Mazivila; João L.M. Santos. "A review on multivariate curve resolution applied to spectroscopic and chromatographic data acquired during the real-time monitoring of evolving multi-component processes: From process analytical chemistry (PAC) to process analytical technology (PAT)". TrAC Trends in Analytical Chemistry (2022): https://doi.org/10.1016/j.trac.2022.116698.
    10.1016/j.trac.2022.116698
  3. Sarmento J. Mazivila; José X. Soares; João L.M. Santos. "A tutorial on multi-way data processing of excitation-emission fluorescence matrices acquired from semiconductor quantum dots sensing platforms". Analytica Chimica Acta (2021): 339216-339216. https://doi.org/10.1016/j.aca.2021.339216.
    10.1016/j.aca.2021.339216
  4. "Three-way calibration using PARAFAC and MCR-ALS with previous synchronization of second-order chromatographic data through a new functional alignment of pure vectors for the quantification in the presence of retention time shifts in peak position and shape". Analytica Chimica Acta (2020): https://doi.org/10.1016/j.aca.2020.12.033.
    10.1016/j.aca.2020.12.033
  5. "Detection of illegal additives in Brazilian S-10/common diesel B7/5 and quantification of Jatropha biodiesel blended with diesel according to EU 2015/1513 by MIR spectroscopy with DD-SIMCA and MCR-ALS under correlation constraint". Fuel (2020): https://doi.org/10.1016/j.fuel.2020.119159.
    10.1016/j.fuel.2020.119159
  6. "Portable and benchtop Raman spectrometers coupled to cluster analysis to identify quinine sulfate polymorphs in solid dosage forms and antimalarial drug quantification in solution by AuNPs-SERS with MCR-ALS". Analytical Methods (2020):
    10.1039/D0AY00693A
  7. "Dual-emission CdTe/AgInS2 photoluminescence probe coupled to neural network data processing for the simultaneous determination of folic acid and iron (II)". Analytica Chimica Acta (2020):
    10.1016/j.aca.2020.04.007
  8. "Detection of melamine and sucrose as adulterants in milk powder using near-infrared spectroscopy with DD-SIMCA as one-class classifier and MCR-ALS as a means to provide pure profiles of milk and of both adulterants with forensic evidence: A short communication". Talanta (2020): https://doi.org/10.1016/j.talanta.2020.120937.
    10.1016/j.talanta.2020.120937
  9. "At-line monitoring of salification process of the antiretroviral lamivudine-saccharinate salt using FT-MIR spectroscopy with multivariate curve resolution". Vibrational Spectroscopy (2019):
    10.1016/j.vibspec.2019.102992
  10. "Simultaneous Determination of Medicinal Drugs with Overlapping Profiles Contained in Low Chromatographic Resolution Data using HPLC-DAD and Multivariate Curve Resolution". Current Analytical Chemistry (2019):
    10.2174/1573411015666191104155725
  11. "A review on advanced oxidation processes: From classical to new perspectives coupled to two- and multi-way calibration strategies to monitor degradation of contaminants in environmental samples". Trends in Environmental Analytical Chemistry (2019):
    10.1016/j.teac.2019.e00072
  12. "At-line green synthesis monitoring of new pharmaceutical co-crystals lamivudine:theophylline polymorph I and II, quantification of polymorph I among its APIs using FT-IR spectroscopy and MCR-ALS". Journal of Pharmaceutical and Biomedical Analysis (2019): https://doi.org/10.1016/j.jpba.2019.03.014.
    10.1016/j.jpba.2019.03.014
  13. "Chemometrics coupled to vibrational spectroscopy and spectroscopic imaging for the analysis of solid-phase pharmaceutical products: A brief review on non-destructive analytical methods". TrAC Trends in Analytical Chemistry (2018):
    10.1016/j.trac.2018.08.013
  14. "Rapid Discrimination Between Authentic and Adulterated Andiroba Oil Using FTIR-HATR Spectroscopy and Random Forest". Food Analytical Methods (2018):
    10.1007/s12161-017-1142-5
  15. "MVC3_GUI: A MATLAB graphical user interface for third-order multivariate calibration. An upgrade including new multi-way models". Chemometrics and Intelligent Laboratory Systems (2017): https://doi.org/10.1016/j.chemolab.2017.12.012.
    10.1016/j.chemolab.2017.12.012
  16. "Trends of non-destructive analytical methods for identification of biodiesel feedstock in diesel-biodiesel blend according to European Commission Directive 2012/0288/EC and detecting diesel-biodiesel blend adulteration: A brief review". Talanta (2017): https://doi.org/10.1016/j.talanta.2017.12.057.
    10.1016/j.talanta.2017.12.057
  17. "Determination of residual automotive lubricant oil and residual solvent used in a dry wash as adulterants in Brazilian S-10 diesel (B7) using mid-infrared spectroscopy data and chemometric methods". Analytical Methods (2016): http://dx.doi.org/10.1039/C6AY01330A.
    10.1039/C6AY01330A
  18. "Non-destructive fraud detection in rosehip oil by MIR spectroscopy and chemometrics". Food Chemistry (2016): http://dx.doi.org/10.1016/j.foodchem.2016.04.051.
    10.1016/j.foodchem.2016.04.051
  19. "Quantification of adulterations in extra virgin flaxseed oil using MIR and PLS". Food Chemistry (2015): http://dx.doi.org/10.1016/j.foodchem.2015.02.081.
    10.1016/j.foodchem.2015.02.081
  20. "Fast Classification of Different Oils and Routes Used in Biodiesel Production Using Mid Infrared Spectroscopy and PLS2-DA". Journal of the Brazilian Chemical Society (2015): http://dx.doi.org/10.5935/0103-5053.20150020.
    10.5935/0103-5053.20150020
  21. "Fast Detection of Adulterants/Contaminants in Biodiesel/Diesel Blend (B5) Employing Mid-Infrared Spectroscopy and PLS-DA". Energy & Fuels (2014): http://dx.doi.org/10.1021/ef502122w.
    10.1021/ef502122w
  22. "Discrimination of the type of biodiesel/diesel blend (B5) using mid-infrared spectroscopy and PLS-DA". Fuel (2014): http://dx.doi.org/10.1016/j.fuel.2014.11.014.
    10.1016/j.fuel.2014.11.014
Tese / Dissertação
  1. "Chemometrics coupled to vibrational spectroscopy and HPLC-DAD for the analysis of medicinal drugs and real-time monitoring of pharmaceutical cocrystallization/salification process". 2020. https://hdl.handle.net/10216/127804.