Daniela Mesquita

Invited Assistant Researcher


Career

  • 2016 - 2019: Invited Assistant Researcher, Universidade do Minho

Qualifications

  • 2011: PhD Program in Chemical and Biological Engineering, Universidade do Minho
  • 2006: Master in Biotechnology - Bioprocess Engineering, Universidade do Minho
  • 2004: Degree in Biological Engineering, Universidade do Minho

Honors and Awards

  • 2009: Best Poster Award - Engineering School Week

  • 2016 - 2019: The use of chemometric techniques combined with spectroscopy and image analysis as early warning tools in biological wastewater treatment processes
  • 2012 - 2016: The use of chemometric techniques combined with spectroscopy and image analysis as early warning tools in biological wastewater treatment processes
  • 2006 - 2011: Image analysis and chemometric techniques as monitoring tools to characterize aggregated and filamentous organisms in activated sludge processes

Projects


Research Students


Recent Publications

1
Estimation of effluent quality parameters from an activated sludge system using quantitative image analysis
  • Chemical Engineering Journal, 285, 349-357, 2016
2
Quantitative image analysis as a tool for Yarrowia lipolytica dimorphic growth evaluation in different culture media
  • Journal of Biotechnology, 217, 22-30, 2016
3
Near-infrared spectroscopy for the detection and quantification of bacterial contaminations in pharmaceutical products
  • International Journal of Pharmaceutics, 492(1-2), 199-206, 2015
4
Polyhydroxyalkanoate granules quantification in mixed microbial cultures using image analysis: Sudan Black B versus Nile Blue A staining
  • Analytica Chimica Acta, 865, 8-15, 2015
5
Aroma production by Yarrowia lipolytica in airlift and stirred tank bioreactors: differences in yeast metabolism and morphology
  • Biochemical Engineering Journal, 93, 55-62, 2015
6
Monitoring intracellular polyphosphate accumulation in enhanced biological phosphorus removal systems by quantitative image analysis
  • Water Science and Technology, 69(11), 2315-2323, 2014
7
Activated sludge characterization through microscopy: A review on quantitative image analysis and chemometric techniques
  • Analytica Chimica Acta, 802, 14-28, 2013
8
Prediction of intracellular storage polymers using quantitative image analysis in enhanced biological phosphorus removal systems
  • Analytica Chimica Acta, 770, 36-44, 2013
9
Image analysis for automatic characterization of polyhydroxyalcanoates granules
  • Lecture Notes in Computer Science, No. 7950, 790-797, 2013
10
Quantitative image analysis for the characterization of microbial aggregates in biological wastewater treatment: a review
  • Environmental Science and Pollution Research, 20(9), 5887-5912, 2013
11
Automatic identification of activated sludge disturbances and assessment of operational parameters
  • Chemosphere, 91(5), 705-710, 2013
12
Image analysis application for the study of activated sludge floc size during the treatment of synthetic and real fishery wastewater
  • Environmental Science and Pollution Research, 18(8), 1390-1397, 2011
13
Characterization of activated sludge abnormalities by image analysis and chemometric techniques
  • Analytica Chimica Acta, 705(1-2), 235-242, 2011
14
Identifying different types of bulking in an activated sludge system through quantitative image analysis
  • Chemosphere, 85(4), 643-652, 2011
15
Dilution and magnification effects on image analysis applications in activated sludge characterization
  • Microscopy and Microanalysis, 16(5), 561-568, 2010
16
A comparison between bright field and phase-contrast image analysis techniques in activated sludge morphological characterization
  • Microscopy and Microanalysis, 16(2), 166-174, 2010
17
Correlation between sludge settling ability and image analysis information using partial least squares
  • Analytica Chimica Acta, 642(1-2), 94-101, 2009
18
Study of saline wastewater influence on activated sludge flocs through automated image analysis
  • Journal of Chemical Technology and Biotechnology, 84(4), 554-560, 2009
19
Monitoring of activated sludge settling ability through image analysis: validation on full-scale wastewater treatment plants
  • Bioprocess and Biosystems Engineering, 32(3), 361-367, 2009
Full List