MALDI-ToF and FTIR have proven its power to type microbes beyond simple species ID. The data resulting from use of the current MALDI-TOF or FT-IR spectra, after it’s use to obtain a pathogen ID, can additionally (without any new sample run ) be used for epidemiology studies.

Just import the MALDI-ToF and/or FTIR data file into Clover Biosoft software with our import data tool and you can immediately extract additional pathogen information such as clone/subspecies detection or identification of specific antibiotic resistance markers in Klebsiella spp.

We have collaborated with different reference institutions around the world to produce the following list of “classifiers”: easy to use classification tools to help you further characterize a specific pathogen complementing its previous ID result from MALDI-ToF and/or FTIR.

And we are constantly updating this list with new classification responses to epidemiological outbreaks/emergencies such as the hypervirulent Klebsiella pneumoniae ST23 (consult us for more information about this development)

Please note: all of this classification solutions are immediately available on any paid subscription to our Clover Biosoft MALDI Masster, FTIR Prodigy or Spectra Maestro licenses.

1.- Detection of azole resistance in Aspergillus fumigatus complex isolates using MALDI-TOF mass spectrometry. E. Zvezdanova, M.J. Arroyo, G. Méndez, A. Candela, L. Mancera, J. García, J. Lozano, R. Jiménez, I. Lozano, C. Castro, C. López, P. Muñoz, J. Guinea, P. Escribano. Clinical Microbiology and Infection, Feb. 2022 (+ info).

2.- Direct detection of carbapenemase-producing Klebsiella pneumoniaeby MALDI-TOF analysis of full spectra applying machine learning. Eva Gato, Manuel J. Arroyo, Gema Méndez, Ana Candela, Bruno K Rodiño-Janeiro, Javier Fernández, Belen Rodriguez, Luis Mancera, Jorge Arca-Suárez, Alejandro Beceiro, Germán Bou, and Marina Oviaño. Journal of Clinical Microbiology, May 2023. (+info)

3.- Development and validation of a quick, automated and reproducible ATR-FTIR spectroscopy machine learning model for Klebsiella pneumoniae typing. Ângela Novais, Ana Beatriz Gonçalves, Teresa Ribeiro, Ana Freitas, Gema Méndez, Luis Mancera, Antonia Read, Valquiria Alves, Lorena López-Cerero, Jesús Rodríguez-Baño, Alvaro Pascual, and Luísa Peixe. Journal of Clinical Microbiology, Accepted. Dec 2023. (+info)

4.- Rapid Discrimination of Pseudomonas aeruginosaST175 Isolates Involved in a Nosocomial Outbreak Using MALDI-TOF Mass Spectrometry and FTIR Spectroscopy Coupled with Machine Learning. Ana Candela, Manuel Arroyo, María Sánchez-Cueto, Mercedes Marín, Emilia Cercenado, Gema Méndez, Patricia Muñoz, Luis Mancera, David Rodriguez-Temporal and Belén Rodríguez-Sánchez. Transboundary and Emerging Diseases, Sep. 2023. (+info)

5.- Discrimination between hypervirulent and non-hypervirulent ribotypes of Clostridioides difficileby MALDI-TOF mass spectrometry and machine learning. Ahmed Mohamed Mostafa Abdrabou, Issa Sy, Markus Bischoff, Manuel J. Arroyo, Sören L. Becker, Alexander Mellmann, Lutz von Müller, Barbara Gärtner, Fabian K. Berger. European Journal of Clinical, Sep 2023. (+info)

6.- Automatic discrimination of species within the Enterobacter cloacae complex using MALDI-TOF Mass Spectrometry and supervised algorithms. Candela, A. Guerrero-Lopez, M. Mateos, A. Gomez Asenjo, M.J. Arroyo, M. Hernández-García, R. del Campo, E. Cercenado, A. Cuenod, G. Méndez, L. Mancera, J. de Dios Caballero, L. Martínez-García, D. Gijón, M.I. Morosini, P. Ruiz-Garbajosa, A. Egli, R. Cantón, P. Muñoz, D. Rodriguez-Temporal, B. Rodriguez-Sanchez. Journal of Clinical Microbiolog, Feb. 2023. (+info)

7.- Identification of Mycobacterium abscessussubspecies by MALDI-TOF Mass Spectrometry and Machine Learning.  Rodríguez-Temporal, L. Herrera, F. Alcaide, D. Domingo, G. Héry-Arnaud, J. van Ingen, A. Van den Bossche, A. Ingebretsen, C. Beauruelle, E. Terschlüsen, S. Boarbi, N. Vila-Olmo, M.J. Arroyo, G. Méndez, P. Muñoz, L. Mancera, M.J. Ruiz-Serrano, B. Rodríguez-Sánchez. Journal of Clinical Microbiology, Jan. 2023. (+info)

8.- Implementation of MALDI-TOF Mass Spectrometry and Peak Analysis: Application to the Discrimination of Cryptococcusneoformans Species Complex and Their Interspecies Hybrids. E. Zvezdanova, M.J. Arroyo, G. Méndez, J.V. Guinea Ortega, L. Mancera, P. Muñoz, B. Rodríguez-Sánchez, P. Escribano. Journal of Fungi, Dec. 2020. (+info)

9.- Ultrasensitive and rapid identification of ESRI developer- and piperacillin/tazobactam-resistant Escherichia coliby the MALDIpiptaz tests.  Rodríguez-Villodres, L. Gálvez-Benítez, M.J. Arroyo, G. Méndez, L. Mancera, A. Vila-Domínguez, J.A. Lepe-Jiménez, Y. Smani. Emerging Microbes & Infections, Aug. 2022. (+info)

10.- Rapid and reproducible MALDI-TOF-based method for the detection of Vancomycin-resistant Enterococcus faeciumusing classifying algorithms.  Candela, M.J. Arroyo, A. Sánchez-Molleda, G. Méndez, L. Quiroga, A. Ruiz, E. Cercenado, M. Marín, P. Muñoz, L. Mancera, D. Rodríguez-Temporal, B. Rodríguez-Sánchez. MDPI. Diagnostic Microbiology and Infectious Disease, Jan. 2022. (+info)

11.- Evaluation of Matrix-Assisted Laser Desorption Ionization-Time of Flight Mass Spectrometry for Molecular Typing of Acinetobacter baumanniiin Comparison with Orthogonal Methods. Eloise J. Busby, Ronan M. Doyle, Clara Leboreiro Babe, Kathryn A. Harris, Damien Mack, Gema Méndez-Cervantes, Denise M. O’Sullivan, Vicky Pang, Zahra Sadouki, Priya Solanki, Jim F. Huggett, Timothy D. McHugh, Emmanuel Q. Wey. Journal of Clinical Microbiology, May 2023. (+info)