Website SoftwareOungsakul, P.; Perez-Guaita, D.; Shah, A. K.; Duffy, D.; Wood, B. R.; Bielefeldt-Ohmann, H.; Hill, M. M. Addressing Delicate and Variable Cancer Morphology in Spectral Histopathology Using Canine Visceral Hemangiosarcoma. Analytical Chemistry 2021, 93 (36), 12187–12194. https://doi.org/10.1021/acs.analchem.0c05190.
Navarro-Esteve, V.; Sánchez-Illana, Á.; Portolés, J.; Marques-Vidas, M.; Sanchez-Lopez, A. J.; Ventura, J.; Byrne, H. J.; Wood, B. R.; Pérez-Guaita, D. Enhancing Vibrational Spectroscopy-Based Diagnosis through Bottom-Up Modeling: The Case of Infrared Absorption Spectrum of Urine. Anal. Chem. 2026, acs.analchem.5c06845. https://doi.org/10.1021/acs.analchem.5c06845.
Chakkumpulakkal Puthan Veettil, T.; Kochan, K.; Williams, G. C.; Bourke, K.; Kostoulias, X.; Peleg, A. Y.; Lyras, D.; De Bank, P. A.; Perez-Guaita, D.; Wood, B. R. A Multimodal Spectroscopic Approach Combining Mid-Infrared and Near-Infrared for Discriminating Gram-Positive and Gram-Negative Bacteria. Analytical Chemistry 2024, 96 (46), 18392–18400. https://doi.org/10.1021/acs.analchem.4c03060.
Navarro-Esteve, V.; Sánchez-Illana, Á.; Pórtoles, J.; Marques-Vidas, M.; Ventura-Gayete, J.; Capell, N. E.; Viejo-Boyano, I.; Valero-Mena, F.; Sanchez-Lopez, A. J.; Wood, B. R.; Pérez-Guaita, D. Towards a Global Model for Diabetic Kidney Disease Screening Using ATR-FTIR. Microchemical Journal 2025, 215. https://doi.org/10.1016/j.microc.2025.114193.
Elloumi, A.; Mas-Normand, L.; Bride, J.; Reversat, G.; Bultel-Poncé, V.; Guy, A.; Oger, C.; Demion, M.; Le Guennec, J.-Y.; Durand, T.; Vigor, C.; Sánchez-Illana, Á.; Galano, J.-M. From MS/MS Library Implementation to Molecular Networks: Exploring Oxylipin Diversity with NEO-MSMS. Sci Data 2024, 11 (1), 193. https://doi.org/10.1038/s41597-024-03034-4.
Béjar-Grimalt, J.; Sánchez-Illana, Á.; Quintás, G.; Byrne, H. J.; Pérez-Guaita, D. Monte Carlo Peaks: Simulated Datasets to Benchmark Machine Learning Algorithms for Clinical Spectroscopy. Chemometrics and Intelligent Laboratory Systems 2025, 267. https://doi.org/10.1016/j.chemolab.2025.105548.
Béjar-Grimalt, J.; Esteve-Turrillas, F. A.; Armenta, S.; Garrigues, S.; Pérez Guaita, D. DrogoFinder: An Open-Source Graphical User Interface for the Identification of Illicit Drugs Using Infrared Spectroscopy. Microchemical Journal 2024, 199. https://doi.org/10.1016/j.microc.2023.109801.
Sánchez-Illana, Á.; Pérez-Guaita, D. Chemometric Treatment of Raman Spectra in Biomedicine and Food Science. Raman Spectroscopy in Human Health and Biomedicine 2023, 76–107. https://doi.org/10.1142/9789811264610_0003.
(1) Wilk, A.; Wilkosz, N.; Rugiel, M.; Saluga, M.; Kawon, K.; Stepanenko, T.; Bulat, K.; Wajda, A.; Szuwarzynski, M.; Zajaczkowska, A.; Morgunowicz, A.; Chodaczek, G.; Navarro-Esteve, V.; Perez-Guaita, D.; Chwiej, J.; Marzec, K. M. Next-Generation Diabetes Diagnostics: Spectrochemical Staging of Red Blood Cells Using Vibrational Spectroscopy. Journal of Advanced Research 2026. https://doi.org/10.1016/j.jare.2026.01.052.
(2) Navarro-Esteve, V.; Sánchez-Illana, Á.; Portolés, J.; Marques-Vidas, M.; Sanchez-Lopez, A. J.; Ventura, J.; Byrne, H. J.; Wood, B. R.; Pérez-Guaita, D. Enhancing Vibrational Spectroscopy-Based Diagnosis through Bottom-Up Modeling: The Case of Infrared Absorption Spectrum of Urine. Anal. Chem. 2026, acs.analchem.5c06845. https://doi.org/10.1021/acs.analchem.5c06845.
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(4) Moreno-Casillas, J. L.; Ripoll-Seguer, L.; Ten-Doménech, I.; Gómez-Ferrer, M.; Sepúlveda, P.; Albiach-Delgado, A.; Sanjuan-Herráez, J. D.; Gormaz, M.; Pérez-Guaita, D.; Lendl, B.; Cernada, M.; Quintás, G.; Kuligowski, J. Workflow for the Isolation and Characterisation of Human Milk Extracellular Vesicles (HMEVs) and Their Inflammatory Biomarker Profile. Journal of Extracellular Biology 2026, 5 (1). https://doi.org/10.1002/jex2.70110.
(5) Dučić, T.; Algarra, M.; Pérez Guaita, D.; Quintas, G.; Castillo, M. I.; González-Muñoz, E. 3D Glioblastoma Molecular Responses to Carbon Dot–Delivered Riluzole Probed by Synchrotron FTIR. Anal. Chem. 2026. https://doi.org/10.1021/acs.analchem.6c00176.
(6) Camunas-Alberca, S. M.; Bartolini, F.; Cermakova, H.; Sánchez-Illana, Á.; Perez-Guaita, D.; Cañadas-Miquel, P.; Gil-de-la-Fuente, A.; Galano, J.-M.; Durand, T.; Gradillas, A.; Barbas, C. Decoding the Oxylipin Chemical Space Using Ion Identity Molecular Networking. Anal. Chem. 2026. https://doi.org/10.1021/acs.analchem.5c06084.
(7) Schebb, N. H.; Kampschulte, N.; Hagn, G.; Plitzko, K.; Meckelmann, S. W.; Ghosh, S.; Joshi, R.; Kuligowski, J.; Vuckovic, D.; Botana, M. T.; Sánchez-Illana, Á.; Zandkarimi, F.; Das, A.; Yang, J.; Schmidt, L.; Checa, A.; Roche, H. M.; Armando, A. M.; Edin, M. L.; Lih, F. B.; Aristizabal-Henao, J. J.; Miyamoto, S.; Giuffrida, F.; Moussaieff, A.; Domingues, R.; Rothe, M.; Hinz, C.; Das, U. S.; Rund, K. M.; Taha, A. Y.; Hofstetter, R. K.; Werner, M.; Werz, O.; Kahnt, A. S.; Bertrand-Michel, J.; Le Faouder, P.; Gurke, R.; Thomas, D.; Torta, F.; Milic, I.; Dias, I. H. K.; Spickett, C. M.; Biagini, D.; Lomonaco, T.; Idborg, H.; Liu, J.-Y.; Fedorova, M.; Ford, D. A.; Barden, A.; Mori, T. A.; Kennedy, P. D.; Maxey, K.; Ivanisevic, J.; Gallart-Ayala, H.; Gladine, C.; Wenk, M.; Galano, J.-M.; Durand, T.; Stark, K. D.; Barbas, C.; Garscha, U.; Gelhaus, S. L.; Ceglarek, U.; Flamand, N.; Griffin, J. L.; Ahrends, R.; Arita, M.; Zeldin, D. C.; Schopfer, F. J.; Quehenberger, O.; Julian, R.; Nicolaou, A.; Blair, I. A.; Murphy, M. P.; Hammock, B. D.; Freeman, B.; Liebisch, G.; Serhan, C. N.; Köfeler, H. C.; Jakobsson, P.-J.; Steinhilber, D.; Gelb, M. H.; Holčapek, M.; Andrew, R.; Giera, M.; FitzGerald, G. A.; Murphy, R. C.; Newman, J. W.; Dennis, E. A.; Ekroos, K.; Milne, G. L.; Gijón, M. A.; Vesper, H. W.; Wheelock, C. E.; O’Donnell, V. B. Technical Recommendations for Analyzing Oxylipins by Liquid Chromatography-Mass Spectrometry. Science Signaling 2025, 18 (887), eadw1245. https://doi.org/10.1126/scisignal.adw1245.
(8) Navarro-Esteve, V.; Zöchner, A.; Roca, M.; Parra-Llorca, A.; Moreno-Giménez, A.; Campos-Berga, L.; Vaya, M. J.; Vento, M.; González, P. S.; Gormaz, M.; Ten-Doménech, I.; Kuligowski, J.; Quintás, G. Simultaneous Screening and Quantitation of Human Milk Oligosaccharides by Liquid Chromatography—Mass Spectrometry. Carbohydrate Polymer Technologies and Applications 2025, 9, 100644. https://doi.org/10.1016/j.carpta.2024.100644.
(9) Navarro-Esteve, V.; Sánchez-Illana, Á.; Pórtoles, J.; Marques-Vidas, M.; Ventura-Gayete, J.; Capell, N. E.; Viejo-Boyano, I.; Valero-Mena, F.; Sanchez-Lopez, A. J.; Wood, B. R.; Pérez-Guaita, D. Towards a Global Model for Diabetic Kidney Disease Screening Using ATR-FTIR. Microchemical Journal 2025, 215. https://doi.org/10.1016/j.microc.2025.114193.
(10) Navarro-Esteve, V.; Felderer, B.; Quintás, G.; Kuligowski, J.; Wood, B. R.; Pérez-Guaita, D. Quantification and Profiling of Urine Cells by Integrated Cytocentrifugation and Infrared Spectroscopy. Spectrochimica Acta - Part A: Molecular and Biomolecular Spectroscopy 2025, 330. https://doi.org/10.1016/j.saa.2025.125734.
(11) Lehoux, M. J.; Sánchez-Illana, Á.; Miralles, P.; Bultel-Poncé, V.; Durand, T.; Crauste, C.; Oger, C. Total Synthesis and Analysis of Phenolic Phytoprostanes, Oxidized Derivatives of Lipophenols. Chemistry - A European Journal 2025, 31 (62). https://doi.org/10.1002/chem.202502206.
(12) Kuligowski, J.; Albiach-Delgado, A.; Pérez-Guaita, D.; Quintás, G. Interpretation of Multivariate Metabolomic Models through Network-Guided Perturbation-Based Explanations. Metabolomics 2025, 21 (5). https://doi.org/10.1007/s11306-025-02347-8.
(13) Ji, Y.; Pan, Y.; Galano, J.-M.; Sánchez-Illana, A.; Miao, X.; Dong, F.; Oger, C.; Durand, T.; Dai, J. Annotating DHA Metabolites Interfering with the Quantification of Emerging Perfluoroalkyl Ether Carboxylic Acids. Environmental Science and Technology Letters 2025, 12 (3), 320–326. https://doi.org/10.1021/acs.estlett.4c01029.
(14) F. Fernández, S.; Pardo, O.; Sánchez-Illana, Á.; Gormaz, M.; Kuligowski, J.; Vento, M.; Garlito-Molina, B.; Coscollà, C. Oxidative Stress and Cumulative Exposure to Environmental Pollutants in Lactating Mothers Living in the Valencian Region (Spain). Environmental Pollution 2025, 375. https://doi.org/10.1016/j.envpol.2025.126308.
(15) Esteve-Turrillas, F. A.; Trigueros-Sancho, A.; Jover, R.; Pérez-Guaita, D.; Quintás, G. Automated Data Exploration of α-Pyrrolidinoisohexiophenone Metabolites in Upcyte Human Hepatocytes Reveals Potential Individual-Specific Metabolic Profiles. Microchemical Journal 2025, 214. https://doi.org/10.1016/j.microc.2025.113908.
(16) Béjar-Grimalt, J.; Sánchez-Illana, Á.; Quintás, G.; Byrne, H. J.; Pérez-Guaita, D. Monte Carlo Peaks: Simulated Datasets to Benchmark Machine Learning Algorithms for Clinical Spectroscopy. Chemometrics and Intelligent Laboratory Systems 2025, 267. https://doi.org/10.1016/j.chemolab.2025.105548.
(17) Béjar-Grimalt, J.; Pérez-Guaita, D.; Sánchez-Illana, A.; García-Contreras, R.; Kataria, R.; Bureau, S.; de la Guardia, M.; Cadet, F. Classification of Apricot Varieties by Infrared Spectroscopy and Machine Learning. ACS Agricultural Science and Technology 2025, 5 (7), 1373–1381. https://doi.org/10.1021/acsagscitech.5c00068.
(18) Adamczyk, A.; Nowakowska, A. M.; Jakubowska, J.; Perez-Guaita, D.; Pieczara, A.; Mazuryk, O.; Mlynarski, W.; Wisłocka-Orłowska, A.; Majzner, K.; Baranska, M. MitoBADY-Based Raman Sensing of Neutrophil-like Cells. Sensors and Actuators B: Chemical 2025, 422. https://doi.org/10.1016/j.snb.2024.136539.
(19) Ten-Doménech, I.; Rienda, I.; Pérez-Rojas, J.; Pareja, E.; Moreno-Torres, M.; Castell, J. V.; Lendl, B.; Schwaighofer, A.; Pérez-Guaita, D.; Kuligowski, J.; Quintás, G. Progress and Challenges of Mid-Infrared Spectroscopy for Liver Characterization Focusing on Steatosis, Fibrosis and Cancer. Applied Spectroscopy Reviews 2024, 59 (4), 578–599. https://doi.org/10.1080/05704928.2023.2215858.
(20) Kuligowski, J.; Pérez-Rubio, Á.; Moreno-Torres, M.; Soluyanova, P.; Pérez-Rojas, J.; Rienda, I.; Pérez-Guaita, D.; Pareja, E.; Trullenque-Juan, R.; Castell, J. V.; Verheijen, M.; Caiment, F.; Jover, R.; Quintás, G. Cluster-Partial Least Squares (c-PLS) Regression Analysis: Application to miRNA and Metabolomic Data. Analytica Chimica Acta 2024, 1286. https://doi.org/10.1016/j.aca.2023.342052.
(21) Elloumi, A.; Mas-Normand, L.; Bride, J.; Reversat, G.; Bultel-Poncé, V.; Guy, A.; Oger, C.; Demion, M.; Le Guennec, J.-Y.; Durand, T.; Vigor, C.; Sánchez-Illana, Á.; Galano, J.-M. From MS/MS Library Implementation to Molecular Networks: Exploring Oxylipin Diversity with NEO-MSMS. Scientific Data 2024, 11 (1). https://doi.org/10.1038/s41597-024-03034-4.
(22) Chakkumpulakkal Puthan Veettil, T.; Kochan, K.; Williams, G. C.; Bourke, K.; Kostoulias, X.; Peleg, A. Y.; Lyras, D.; De Bank, P. A.; Perez-Guaita, D.; Wood, B. R. A Multimodal Spectroscopic Approach Combining Mid-Infrared and Near-Infrared for Discriminating Gram-Positive and Gram-Negative Bacteria. Analytical Chemistry 2024, 96 (46), 18392–18400. https://doi.org/10.1021/acs.analchem.4c03060.
(23) Béjar-Grimalt, J.; Sánchez-Illana, I.; Guardia, M. D. L.; Garrigues, S.; Catalá-Vilaplana, I.; Bermejo-Ruiz, J. L.; Priego-Quesada, J. I.; Pérez-Guaita, D. Dryfilm-ATR-FTIR Analysis of Urinary Profiles as a Point-of-Care Tool to Evaluate Aerobic Exercise. Analytical Methods 2024, 16 (35), 5982–5989. https://doi.org/10.1039/d4ay00913d.
(24) Béjar-Grimalt, J.; Esteve-Turrillas, F. A.; Armenta, S.; Garrigues, S.; Pérez Guaita, D. DrogoFinder: An Open-Source Graphical User Interface for the Identification of Illicit Drugs Using Infrared Spectroscopy. Microchemical Journal 2024, 199. https://doi.org/10.1016/j.microc.2023.109801.
(25) Ten-Doménech, I.; Pérez-Guaita, D.; Quintás, G.; Kuligowski, J. Analysis of Longitudinal Data Using Constrained Repeated Random Sampling-Cross Validation (CORRS-CV) and Partial Least Squares. Chemometrics and Intelligent Laboratory Systems 2023, 235. https://doi.org/10.1016/j.chemolab.2023.104776.
(26) Ten-Doménech, I.; Moreno-Torres, M.; Sanjuan-Herráez, J. D.; Pérez-Guaita, D.; Quintás, G.; Kuligowski, J. Analysis of Longitudinal Metabolomic Data Using Multivariate Curve Resolution-Alternating Least Squares and Pathway Analysis. Chemometrics and Intelligent Laboratory Systems 2023, 232. https://doi.org/10.1016/j.chemolab.2022.104720.
(27) Ten-Doménech, I.; Cascant-Vilaplana, M. M.; Navarro-Esteve, V.; Felderer, B.; Moreno-Giménez, A.; Rienda, I.; Gormaz, M.; Moreno-Torres, M.; Pérez-Guaita, D.; Quintás, G.; Kuligowski, J. Metabolomic Diversity of Human Milk Cells over the Course of Lactation—A Preliminary Study. Nutrients 2023, 15 (5). https://doi.org/10.3390/nu15051100.
(28) Solaz-García, Á.; Sánchez-Illana, Á.; Lara-Cantón, I.; Montejano-Lozoya, R.; Gimeno-Navarro, A.; Pinilla-González, A.; Torrejón-Rodríguez, L.; Vento, M.; Sáenz-González, P. Analysis of Fractional Cerebral Oxygen Extraction in Preterm Infants during the Kangaroo Care. Neonatology 2023, 120 (4), 508–516. https://doi.org/10.1159/000530027.
(29) Sánchez-Illana, Á.; Pérez-Guaita, D. Chemometric Treatment of Raman Spectra in Biomedicine and Food Science. Raman Spectroscopy in Human Health and Biomedicine 2023, 76–107. https://doi.org/10.1142/9789811264610_0003.
(30) Rugemalira, E.; Roine, I.; Kuligowski, J.; Sánchez-Illana, Á.; Piñeiro-Ramos, J. D.; Andersson, S.; Cruzeiro, M. L.; Vento, M.; Pelkonen, T. High Concentration of Protein Oxidation Biomarker O-Tyr/Phe Predicts Better Outcome in Childhood Bacterial Meningitis. Antioxidants 2023, 12 (3). https://doi.org/10.3390/antiox12030621.
(31) Rienda, I.; Ten-Doménech, I.; Moro, E.; Moreno-Torres, M.; Pérez-Rojas, J.; Pareja, E.; Pérez-Rubio, I.; Trullenque, R.; Jover, R.; Lendl, B.; Pérez-Guaita, D.; Kuligowski, J.; Castell, J. V.; Quintás, G. Enhancing the Accuracy of Mid-Infrared Spectroscopy-Based Liver Steatosis Quantification Using Digital Image Analysis as a Reference. Analyst 2023, 148 (13), 3097–3106. https://doi.org/10.1039/d3an00324h.
(32) Rienda, I.; Moro, E.; Pérez-Rubio, I.; Trullenque-Juan, R.; Pérez-Guaita, D.; Lendl, B.; Kuligowski, J.; Castell, J. V.; Pérez-Rojas, J.; Pareja, E.; Quintás, G. Comparing the Direct Assessment of Steatosis in Liver Explants with Mid- and near-Infrared Vibrational Spectroscopy, Prior to Organ Transplantation. Analyst 2023, 148 (17), 3986–3991. https://doi.org/10.1039/d3an01184d.
(33) Richardson, Z.; Kincses, A.; Ekinci, E.; Perez-Guaita, D.; Jandeleit-Dahm, K.; Wood, B. R. ATR-FTIR Spectroscopy for Early Detection of Diabetic Kidney Disease. Analysis and Sensing 2023, 3 (4). https://doi.org/10.1002/anse.202200094.
(34) Raffay, T. M.; Di Fiore, J. M.; Chen, Z.; Sánchez-Illana, Á.; Vento, M.; Piñeiro-Ramos, J. D.; Kuligowski, J.; Martin, R. J.; Tatsuoka, C.; Minich, N. M.; MacFarlane, P. M.; Hibbs, A. M. Hypoxemia Events in Preterm Neonates Are Associated with Urine Oxidative Biomarkers. Pediatric Research 2023, 94 (4), 1444–1450. https://doi.org/10.1038/s41390-023-02646-7.
(35) Pinilla-Gonzalez, A.; Lara-Cantón, I.; Torrejón-Rodríguez, L.; Parra-Llorca, A.; Aguar, M.; Kuligowski, J.; Piñeiro-Ramos, J. D.; Sánchez-Illana, Á.; Navarro, A. G.; Vento, M.; Cernada, M. Early Molecular Markers of Ventilator-Associated Pneumonia in Bronchoalveolar Lavage in Preterm Infants. Pediatric Research 2023, 93 (6), 1559–1565. https://doi.org/10.1038/s41390-022-02271-w.
(36) Pérez-Guaita, D.; de la Guardia, M. Introductory Statement – PoC Special Issue – Microchemical Journal. Microchemical Journal 2023, 184. https://doi.org/10.1016/j.microc.2022.108153.
(37) MacFarlane, P. M.; Martin, R. J.; Di Fiore, J. M.; Raffay, T. M.; Tatsuoka, C.; Chen, Z.; Minich, N.; Quintas, G.; Sánchez-Illana, Á.; Kuligowski, J.; Piñeiro-Ramos, J. D.; Vento, M.; Hibbs, A. M. Plasma Serotonergic Biomarkers Are Associated with Hypoxemia Events in Preterm Neonates. Pediatric Research 2023, 94 (4), 1436–1443. https://doi.org/10.1038/s41390-023-02620-3.
(38) Kujdowicz, M.; Perez-Guaita, D.; Chlosta, P.; Okon, K.; Malek, K. Fourier Transform IR Imaging of Primary Tumors Predicts Lymph Node Metastasis of Bladder Carcinoma. Biochimica et Biophysica Acta - Molecular Basis of Disease 2023, 1869 (8). https://doi.org/10.1016/j.bbadis.2023.166840.
(39) Solaz-García, Á.; Lara-Cantón, I.; Pinilla-González, A.; Montejano-Lozoya, R.; Gimeno-Navarro, A.; Sánchez-Illana, Á.; Marco-Piñol, A.; Vento, M.; Sáenz-González, P. Impact of Kangaroo Care on Premature Infants’ Oxygenation: Systematic Review. Neonatology 2022, 119 (5), 537–546. https://doi.org/10.1159/000525014.
(40) Seweryn, S.; Skirlińska-Nosek, K.; Wilkosz, N.; Sofińska, K.; Perez-Guaita, D.; Oćwieja, M.; Barbasz, J.; Szymoński, M.; Lipiec, E. Plasmonic Hot Spots Reveal Local Conformational Transitions Induced by DNA Double-Strand Breaks. Scientific Reports 2022, 12 (1). https://doi.org/10.1038/s41598-022-15313-4.
(41) Perez-Guaita, D.; Quintas, G.; Farhane, Z.; Tauler, R.; Byrne, H. J. Corrigendum: “Data Mining Raman Microspectroscopic Responses of Cells to Drugs in Vitro Using Multivariate Curve Resolution-Alternating Least Squares” (Talanta (2020) 208, (S0039914019310197), (10.1016/j.Talanta.2019.120386)). Talanta 2022, 236. https://doi.org/10.1016/j.talanta.2021.122682.
(42) Pérez-Guaita, D.; Quintás, G.; Farhane, Z.; Tauler, R.; Byrne, H. J. Combining Pharmacokinetics and Vibrational Spectroscopy: MCR-ALS Hard-and-Soft Modelling of Drug Uptake In Vitro Using Tailored Kinetic Constraints. Cells 2022, 11 (9). https://doi.org/10.3390/cells11091555.
(43) Kujdowicz, M.; Perez-Guaita, D.; Chlosta, P.; Okon, K.; Malek, K. Evaluation of Grade and Invasiveness of Bladder Urothelial Carcinoma Using Infrared Imaging and Machine Learning. Analyst 2022, 148 (2), 278–285. https://doi.org/10.1039/d2an01583h.
(44) Dybas, J.; Wajda, A.; Alcicek, F. C.; Kaczmarska, M.; Bulat, K.; Szczesny-Malysiak, E.; Martyna, A.; Perez-Guaita, D.; Sacha, T.; Marzec, K. M. Label-Free Testing Strategy to Evaluate Packed Red Blood Cell Quality before Transfusion to Leukemia Patients. Scientific Reports 2022, 12 (1). https://doi.org/10.1038/s41598-022-26309-5.
(45) Dybas, J.; Alcicek, F. C.; Wajda, A.; Kaczmarska, M.; Zimna, A.; Bulat, K.; Blat, A.; Stepanenko, T.; Mohaissen, T.; Szczesny-Malysiak, E.; Perez-Guaita, D.; Wood, B. R.; Marzec, K. M. Trends in Biomedical Analysis of Red Blood Cells – Raman Spectroscopy against Other Spectroscopic, Microscopic and Classical Techniques. TrAC - Trends in Analytical Chemistry 2022, 146. https://doi.org/10.1016/j.trac.2021.116481.
(46) Wood, B. R.; Kochan, K.; Bedolla, D. E.; Salazar-Quiroz, N.; Grimley, S. L.; Perez-Guaita, D.; Baker, M. J.; Vongsvivut, J.; Tobin, M. J.; Bambery, K. R.; Christensen, D.; Pasricha, S.; Eden, A. K.; Mclean, A.; Roy, S.; Roberts, J. A.; Druce, J.; Williamson, D. A.; McAuley, J.; Catton, M.; Purcell, D. F. J.; Godfrey, D. I.; Heraud, P. Infrared Based Saliva Screening Test for COVID-19. Angewandte Chemie - International Edition 2021, 60 (31), 17102–17107. https://doi.org/10.1002/anie.202104453.
(47) Shah, V. P.; Raffay, T. M.; Martin, R. J.; Vento, M.; Sánchez-Illana, Á.; Piñeiro-Ramos, J. D.; Kuligowski, J.; DI Fiore, J. M. The Relationship between Oxidative Stress, Intermittent Hypoxemia, and Hospital Duration in Moderate Preterm Infants. Neonatology 2021, 117 (5), 577–583. https://doi.org/10.1159/000509038.
(48) Ramos-Garcia, V.; Ten-Doménech, I.; Moreno-Giménez, A.; Gormaz, M.; Parra-Llorca, A.; Shephard, A. P.; Sepúlveda, P.; Pérez-Guaita, D.; Vento, M.; Lendl, B.; Quintás, G.; Kuligowski, J. ATR-FTIR Spectroscopy for the Routine Quality Control of Exosome Isolations. Chemometrics and Intelligent Laboratory Systems 2021, 217. https://doi.org/10.1016/j.chemolab.2021.104401.
(49) Quintás, G.; Wood, B. R.; Byrne, H. J.; Perez-Guaita, D. Multiplexed Fourier Transform Infrared and Raman Imaging. Methods in Molecular Biology 2021, 2350, 299–312. https://doi.org/10.1007/978-1-0716-1593-5_19.
(50) Perez-Guaita, D.; Richardson, Z.; Rajendara, A.; Byrne, H. J.; Wood, B. From Bench to Worktop: Rapid Evaluation of Nutritional Parameters in Liquid Foodstuffs by IR Spectroscopy. Food Chemistry 2021, 365. https://doi.org/10.1016/j.foodchem.2021.130442.
(51) Pérez-Guaita, D.; Richardson, Z.; Quintás, G.; Kuligowski, J.; Bedolla, D. E.; Byrne, H. J.; Wood, B. ATR-Spin: An Open-Source 3D Printed Device for Direct Cytocentrifugation onto Attenuated Total Reflectance Crystals. Lab on a Chip 2021, 21 (24), 4743–4748. https://doi.org/10.1039/d1lc00813g.
(52) Oungsakul, P.; Perez-Guaita, D.; Shah, A. K.; Duffy, D.; Wood, B. R.; Bielefeldt-Ohmann, H.; Hill, M. M. Addressing Delicate and Variable Cancer Morphology in Spectral Histopathology Using Canine Visceral Hemangiosarcoma. Analytical Chemistry 2021, 93 (36), 12187–12194. https://doi.org/10.1021/acs.analchem.0c05190.
(53) Martin, M.; Perez-Guaita, D.; Wood, B. R. ATR-FTIR Spectroscopy as a Quality Control System for Monitoring the Storage of Blood Products. Analytical Methods 2021, 13 (47), 5756–5763. https://doi.org/10.1039/d1ay01242h.
(54) Kujdowicz, M.; Perez-Guaita, D.; Chłosta, P.; Okon, K.; Malek, K. Towards the Point of Care and Noninvasive Classification of Bladder Cancer from Urine Sediment Infrared Spectroscopy. Spectral Differentiation of Normal, Abnormal and Cancer Patients. Microchemical Journal 2021, 168. https://doi.org/10.1016/j.microc.2021.106460.
(55) Kochan, K.; Bedolla, D. E.; Perez-Guaita, D.; Adegoke, J. A.; Chakkumpulakkal Puthan Veettil, T.; Martin, M.; Roy, S.; Pebotuwa, S.; Heraud, P.; Wood, B. R. Infrared Spectroscopy of Blood. Applied Spectroscopy 2021, 75 (6), 611–646. https://doi.org/10.1177/0003702820985856.
(56) Humaloja, J.; Vento, M.; Kuligowski, J.; Andersson, S.; Piñeiro-Ramos, J. D.; Sánchez-Illana, Á.; Litonius, E.; Jakkula, P.; Hästbacka, J.; Bendel, S.; Tiainen, M.; Reinikainen, M.; Skrifvars, M. B. High Oxygen Does Not Increase Reperfusion Injury Assessed with Lipid Peroxidation Biomarkers after Cardiac Arrest: A Post Hoc Analysis of the COMACARE Trial. Journal of Clinical Medicine 2021, 10 (18). https://doi.org/10.3390/jcm10184226.
(57) Christensen, D.; Khoshmanesh, A.; Perez-Guaita, D.; Iturbe-Ormaetxe, I.; O’Neill, S.; Wood, B. R. Detection and Identification of Wolbachia Pipientis Strains in Mosquito Eggs Using Attenuated Total Reflection Fourier Transform Infrared (ATR FT-IR) Spectroscopy. Applied Spectroscopy 2021, 75 (8), 1003–1011. https://doi.org/10.1177/00037028211027140.
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