MuFFin LAB – Multisensing For Fingerprinting

Research conducted by the Multisensing For Fingerprinting (MuFFin) LAB at the Department of Medical Biotechnology (Faculty of Chemistry, WUT) focuses on the chemical profiling of (bio)samples for the development of fingerprint-based analytical methods.  We design multispectral, multireceptor, and multisensor systems (including electronic tongue/smart tongue) for medical diagnostics, biotechnology, pharmacy, food industry, and agriculture. We conduct pioneering research on nanomaterials-assisted fingerprinting using chemosensitive nanoparticles. We also explore various applications of machine learning/chemometric and artificial intelligence methods in chemical analysis.

  • Multi-channel potentiometers
  • Multi-channel potentiostats
  • Microtiter plate reader with electrochemical detection
  • Spectroelectrochemical Instrument SPELEC
  • Microtiter plate readers with UV-Vis and fluorescence/luminescence detection
  • Microtiter plate reader with dosing/titration system
  • FIAlab station for flow/injection/sequential analysis with electrochemical and optical detection
  • Computing workstations for chemometric, machine learning, AI, DL data analysis
  • Rasmus Bro, University of Copenhagen, Denmark
  • Jose Manuel Amigo Rubio, University of the Basque Country, Spain
  • Katarzyna Winnicka, Medical University of Bialystok, Poland
  • Dr hab. Joanna Lenik, Maria Curie-Skłodowska University in Lublin, Poland
  • Ilona Grabowska-Jadach, Warsaw Univeristy of Technology, Poland
  • Jolanta Mierzejewska, Warsaw Univeristy of Technology, Poland
  • Dr Joanna Żylińska-Urban, Warsaw Univeristy of Technology, Poland
  • Potentiometric and chromatographic fingerprinting – Małgorzata Wesoły, PhD. Eng
  • Voltammetric and spectroelectrochemical fingerprinting – Aleksandra Tobolska, PhD. Eng
  • Fluorescence fingerprinting (EEM, TRF, synchro) – Klaudia Głowacz, PhD. Eng
  • Spectrophotometric and spectrofluorimetric nano-assisted fingerprinting – Klaudia Głowacz, PhD. Eng.; Aleksandra Kossakowska, MSc
  • Analysis of multivariate chemical data with chemometric/machine learning/AI/DL tools
  • Exemplary applications: pharmaceutical analysis (quality control of pharmaceuticals and dietary supplements, detection of the bitter taste masking), clinical diagnostics (biomarkers detection including discrimination and identification of amino acids and short peptides), cell culture research(detection of cytotoxic effects for drug screening, monitoring of cell/tissue cultures), foodstuff industry(quality control including food products adulteration, bacteria detection and identification in foodstuffs), agriculture (volatolome analysis of agri-food products, water monitoring, soil remediation)