{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,11,4]],"date-time":"2026-11-04T19:47:18Z","timestamp":1793821638433,"version":"4.6.1"},"reference-count":63,"publisher":"Springer Science and Business Media LLC","issue":"19","license":[{"start":{"date-parts":[[2026,7,24]],"date-time":"2026-07-24T00:00:00Z","timestamp":1784851200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2026,7,24]],"date-time":"2026-07-24T00:00:00Z","timestamp":1784851200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"funder":[{"name":"Universidade Federal Do Paran\u00e1","id":[{"id":"https:\/\/ror.org\/05syd6y78","id-type":"ROR","asserted-by":"crossref"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Anal Bioanal Chem"],"published-print":{"date-parts":[[2026,10]]},"DOI":"10.1007\/s00216-026-06671-3","type":"journal-article","created":{"date-parts":[[2026,7,24]],"date-time":"2026-07-24T17:54:00Z","timestamp":1784915640000},"page":"6485-6498","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Rapid identification of feline sporotrichosis by ATR-FTIR spectroscopy coupled with machine learning"],"prefix":"10.1007","volume":"418","author":[{"given":"Eric Luiz","family":"Domingos","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ahmad Kassem","family":"El Zein","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Monica","family":"Surek","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Haroldo","family":"Greca Junior","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Izabella Castilhos Ribeiro dos","family":"Santos-Weiss","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Luana Mota","family":"Ferreira","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7049-4363","authenticated-orcid":false,"given":"Roberto","family":"Pontarolo","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2026,7,24]]},"reference":[{"issue":"1","key":"6671_CR1","doi-asserted-by":"publisher","first-page":"15","DOI":"10.1093\/mmy\/myu061","volume":"53","author":"ID Gremi\u00e3o","year":"2015","unstructured":"Gremi\u00e3o ID, Menezes RC, Schubach TM, Figueiredo AB, Cavalcanti MC, Pereira SA. Feline sporotrichosis: epidemiological and clinical aspects. Med Mycol. 2015;53(1):15\u201321. https:\/\/doi.org\/10.1093\/mmy\/myu061.","journal-title":"Med Mycol"},{"issue":"1","key":"6671_CR2","doi-asserted-by":"publisher","first-page":"107","DOI":"10.1007\/s42770-020-00365-3","volume":"52","author":"IDF Gremi\u00e3o","year":"2021","unstructured":"Gremi\u00e3o IDF, Martins da Silva da Rocha E, Montenegro H, Carneiro AJB, Xavier MO, de Farias MR, et al. Guideline for the management of feline sporotrichosis caused by Sporothrix brasiliensis and literature revision. Braz J Microbiol. 2021;52(1):107\u201324. https:\/\/doi.org\/10.1007\/s42770-020-00365-3.","journal-title":"Braz J Microbiol"},{"issue":"3-4","key":"6671_CR3","doi-asserted-by":"publisher","first-page":"445","DOI":"10.1016\/j.vetmic.2010.07.007","volume":"147","author":"GF Fernandes","year":"2011","unstructured":"Fernandes GF, Lopes-Bezerra LM, Bernardes-Engemann AR, Schubach TM, Dias MA, Pereira SA, et al. Serodiagnosis of sporotrichosis infection in cats by enzyme-linked immunosorbent assay using a specific antigen, sscbf, and crude exoantigens. Vet Microbiol. 2011;147(3\u20134):445\u20139. https:\/\/doi.org\/10.1016\/j.vetmic.2010.07.007.","journal-title":"Vet Microbiol"},{"key":"6671_CR4","doi-asserted-by":"publisher","unstructured":"Gonsales FF, Fernandes N, Mansho W, Montenegro H, Guerra JM, de Ara\u00fajo LJT, et al. Feline sporothrix spp. Detection using cell blocks from brushings and fine-needle aspirates: Performance and comparisons with culture and histopathology. Vet Clin Pathol. 2019;48(1):143\u20137. https:\/\/doi.org\/10.1111\/vcp.12708.","DOI":"10.1111\/vcp.12708"},{"key":"6671_CR5","doi-asserted-by":"publisher","unstructured":"Rodrigues AM, Gon\u00e7alves SS, de Carvalho JA, Borba-Santos LP, Rozental S. Camargo ZP. Current progress on epidemiology, diagnosis, and treatment of sporotrichosis and their future trends. J Fungi (Basel). 2022;8(8). https:\/\/doi.org\/10.3390\/jof8080776.","DOI":"10.3390\/jof8080776"},{"issue":"4","key":"6671_CR6","doi-asserted-by":"publisher","first-page":"407","DOI":"10.1007\/s11046-022-00642-9","volume":"187","author":"AM Rodrigues","year":"2022","unstructured":"Rodrigues AM, Hagen F, de Camargo ZP. A spotlight on Sporothrix and sporotrichosis. Mycopathologia. 2022;187(4):407\u201311. https:\/\/doi.org\/10.1007\/s11046-022-00642-9.","journal-title":"Mycopathologia"},{"key":"6671_CR7","doi-asserted-by":"publisher","first-page":"72","DOI":"10.1016\/j.jcpa.2018.03.002","volume":"160","author":"JN Silva","year":"2018","unstructured":"Silva JN, Miranda LHM, Menezes RC, Gremi\u00e3o IDF, Oliveira RVC, Vieira SMM, et al. Comparison of the sensitivity of three methods for the early diagnosis of sporotrichosis in cats. J Comp Pathol. 2018;160:72\u20138. https:\/\/doi.org\/10.1016\/j.jcpa.2018.03.002.","journal-title":"J Comp Pathol"},{"issue":"12","key":"6671_CR8","doi-asserted-by":"publisher","first-page":"638","DOI":"10.1111\/avj.13375","volume":"102","author":"L Miranda","year":"2024","unstructured":"Miranda L, Gillett S, Ames Y, Krockenberger M, Malik R. Zoonotic feline sporotrichosis: a small case cluster in Perth, Western Australia, and a review of previous feline cases from Australia. Aust Vet J. 2024;102(12):638\u201345. https:\/\/doi.org\/10.1111\/avj.13375.","journal-title":"Aust Vet J"},{"issue":"6","key":"6671_CR9","doi-asserted-by":"publisher","first-page":"609","DOI":"10.1111\/zph.13169","volume":"71","author":"MT Santos","year":"2024","unstructured":"Santos MT, Nascimento LFJ, Barbosa AAT, Martins MP, Tunon GIL, Santos POM, et al. The rising incidence of feline and cat-transmitted sporotrichosis in Latin America. Zoonoses Public Health. 2024;71(6):609\u201319. https:\/\/doi.org\/10.1111\/zph.13169.","journal-title":"Zoonoses Public Health"},{"key":"6671_CR10","doi-asserted-by":"publisher","DOI":"10.3390\/jof9090921","author":"MO Xavier","year":"2023","unstructured":"Xavier MO, Poester VR, Tr\u00e1paga MR, Stevens DA. Sporothrix brasiliensis: epidemiology, therapy, and recent developments. J Fungi. 2023. https:\/\/doi.org\/10.3390\/jof9090921.","journal-title":"J Fungi"},{"key":"6671_CR11","doi-asserted-by":"publisher","unstructured":"Chakrabarti A, Bonifaz A, Gutierrez-Galhardo MC, Mochizuki T.Li S. Global epidemiology of sporotrichosis. Med Mycol. 2015;53(1):3\u201314. https:\/\/doi.org\/10.1093\/mmy\/myu062","DOI":"10.1093\/mmy\/myu062"},{"key":"6671_CR12","doi-asserted-by":"publisher","DOI":"10.3390\/jof7030170","author":"A Etchecopaz","year":"2021","unstructured":"Etchecopaz A, Toscanini MA, Gisbert A, Mas J, Scarpa M, Iovannitti CA, et al. Sporothrix brasiliensis: a review of an emerging South American fungal pathogen, its related disease, presentation and spread in Argentina. J Fungi. 2021. https:\/\/doi.org\/10.3390\/jof7030170.","journal-title":"J Fungi"},{"issue":"5","key":"6671_CR13","doi-asserted-by":"publisher","first-page":"606","DOI":"10.1590\/abd1806-4841.2017279","volume":"92","author":"R Orofino-Costa","year":"2017","unstructured":"Orofino-Costa R, Macedo PM, Rodrigues AM, Bernardes-Engemann AR. Sporotrichosis: an update on epidemiology, etiopathogenesis, laboratory and clinical therapeutics. An Bras Dermatol. 2017;92(5):606\u201320. https:\/\/doi.org\/10.1590\/abd1806-4841.2017279.","journal-title":"An Bras Dermatol"},{"key":"6671_CR14","doi-asserted-by":"publisher","DOI":"10.1016\/j.prevetmed.2020.105125","volume":"183","author":"MT Paiva","year":"2020","unstructured":"Paiva MT, de Oliveira CSF, Nicolino RR, Bastos CV, Lecca LO, de Azevedo MI, et al. Spatial association between sporotrichosis in cats and in human during a Brazilian epidemics. Prev Vet Med. 2020;183:105125. https:\/\/doi.org\/10.1016\/j.prevetmed.2020.105125.","journal-title":"Prev Vet Med"},{"issue":"2","key":"6671_CR15","doi-asserted-by":"publisher","first-page":"221","DOI":"10.1177\/03009858231189448","volume":"61","author":"AF Santos","year":"2024","unstructured":"Santos AF, Azevedo MI, Amaral CI, Grom NA, Marinho F, de Oliveira CSF, et al. Feline sporotrichosis: characterization of cutaneous and extracutaneous lesions using different diagnostic methods. Vet Pathol. 2024;61(2):221\u201331. https:\/\/doi.org\/10.1177\/03009858231189448.","journal-title":"Vet Pathol"},{"key":"6671_CR16","doi-asserted-by":"publisher","DOI":"10.3390\/jof9020226","author":"P Thomson","year":"2023","unstructured":"Thomson P, Gonz\u00e1lez C, Blank O, Ram\u00edrez V, R\u00edo CD, Santib\u00e1\u00f1ez S, et al. Sporotrichosis outbreak due to Sporothrix brasiliensis in domestic cats in Magallanes, Chile: a one-health-approach study. J Fungi. 2023. https:\/\/doi.org\/10.3390\/jof9020226.","journal-title":"J Fungi"},{"issue":"10","key":"6671_CR17","doi-asserted-by":"publisher","first-page":"988","DOI":"10.1016\/j.jdcr.2020.07.047","volume":"6","author":"CAT Valeriano","year":"2020","unstructured":"Valeriano CAT, Ferraz CE, Oliveira MME, In\u00e1cio CP, de Oliveira EP, Lacerda AM, et al. Cat-transmitted disseminated cutaneous sporotrichosis caused by Sporothrix brasiliensis in a new endemic area: case series in the northeast of Brazil. JAAD Case Rep. 2020;6(10):988\u201392. https:\/\/doi.org\/10.1016\/j.jdcr.2020.07.047.","journal-title":"JAAD Case Rep"},{"issue":"2","key":"6671_CR18","doi-asserted-by":"publisher","DOI":"10.1590\/0102-311xen133024","volume":"41","author":"VCD Ferreira","year":"2025","unstructured":"Ferreira VCD, Figueiredo ABF, Magalh\u00e3es M, Pereira SA, Tassinari W. Temporal and spatial distribution of sporotrichosis in the Rio de Janeiro metropolitan area, Brazil: a comparison between human and animal cases (2013-2020). Cad Saude Publica. 2025;41(2):e00133024. https:\/\/doi.org\/10.1590\/0102-311xen133024.","journal-title":"Cad Saude Publica"},{"key":"6671_CR19","doi-asserted-by":"publisher","DOI":"10.11606\/issn.1678-4456.bjvras.2021.188291","author":"LN Scuarcialupi","year":"2021","unstructured":"Scuarcialupi LN, Pereira FC, Baquero OS. Feline sporotrichosis. Braz J Vet Res Anim Sci. 2021. https:\/\/doi.org\/10.11606\/issn.1678-4456.bjvras.2021.188291.","journal-title":"Braz J Vet Res Anim Sci"},{"key":"6671_CR20","doi-asserted-by":"publisher","DOI":"10.1093\/mmy\/myad052","author":"AN Etchecopaz","year":"2023","unstructured":"Etchecopaz AN, Laboccetta CR, Martinez G, Pastorino F, D\u00edaz L, Bratanich AC, et al. Seroprevalence of sporotrichosis infection in cats living in the buenos aires epizootic area. Med Mycol. 2023. https:\/\/doi.org\/10.1093\/mmy\/myad052.","journal-title":"Med Mycol"},{"key":"6671_CR21","doi-asserted-by":"publisher","DOI":"10.1016\/j.vprsr.2024.101091","volume":"54","author":"SB Pereira","year":"2024","unstructured":"Pereira SB, Dos Reis GA, Morais MHF, Bohm BC, Waller SB, de Faria RO, et al. Profile and temporal dynamics of the feline sporotrichosis epidemic in southern brazil: A forecasting analysis. Vet Parasitol Reg Stud Reports. 2024;54:101091. https:\/\/doi.org\/10.1016\/j.vprsr.2024.101091.","journal-title":"Vet Parasitol Reg Stud Reports"},{"issue":"2","key":"6671_CR22","doi-asserted-by":"publisher","first-page":"127","DOI":"10.1111\/zph.13190","volume":"72","author":"REE Pinheiro","year":"2025","unstructured":"Pinheiro REE, Santana CCA, Martins LMS, Veloso DS, Luz J, Lima OB, et al. The emergence of cat-transmitted sporotrichosis driven by Sporothrix brasiliensis in Piau\u00ed, Brazil. Zoonoses Public Health. 2025;72(2):127\u201335. https:\/\/doi.org\/10.1111\/zph.13190.","journal-title":"Zoonoses Public Health"},{"key":"6671_CR23","doi-asserted-by":"publisher","DOI":"10.1016\/j.actatropica.2025.107549","volume":"263","author":"EL Domingos","year":"2025","unstructured":"Domingos EL, Souza DA, Alves FMS, Gorski D, Tonin FS, Ferreira LM, et al. Accuracy of diagnostic tests for feline sporotrichosis: a systematic review and meta-analysis. Acta Trop. 2025;263:107549. https:\/\/doi.org\/10.1016\/j.actatropica.2025.107549.","journal-title":"Acta Trop"},{"key":"6671_CR24","doi-asserted-by":"publisher","DOI":"10.1016\/j.scitotenv.2020.144167","volume":"760","author":"JE Celis","year":"2021","unstructured":"Celis JE, Espejo W, Paredes-Osses E, Contreras SA, Chiang G, Bahamonde P. Plastic residues produced with confirmatory testing for COVID-19: classification, quantification, fate, and impacts on human health. Sci Total Environ. 2021;760:144167. https:\/\/doi.org\/10.1016\/j.scitotenv.2020.144167.","journal-title":"Sci Total Environ"},{"issue":"6","key":"6671_CR25","doi-asserted-by":"publisher","DOI":"10.3390\/mi14061145","volume":"14","author":"A Fadlelmoula","year":"2023","unstructured":"Fadlelmoula A, Catarino SO, Minas G, Carvalho V. A review of machine learning methods recently applied to FTIR spectroscopy data for the analysis of human blood cells. Micromachines (Basel). 2023;14(6):1145. https:\/\/doi.org\/10.3390\/mi14061145.","journal-title":"Micromachines (Basel)"},{"key":"6671_CR26","doi-asserted-by":"publisher","first-page":"78","DOI":"10.1016\/j.trac.2013.04.010","volume":"50","author":"A Ga\u0142uszka","year":"2013","unstructured":"Ga\u0142uszka A, Migaszewski Z, Namie\u015bnik J. The 12 principles of green analytical chemistry and the significance mnemonic of green analytical practices. TrAC Trends Anal Chem. 2013;50:78\u201384. https:\/\/doi.org\/10.1016\/j.trac.2013.04.010.","journal-title":"TrAC Trends Anal Chem"},{"issue":"11","key":"6671_CR27","doi-asserted-by":"publisher","DOI":"10.1016\/j.jpha.2024.101013","volume":"14","author":"L Yin","year":"2024","unstructured":"Yin L, Yu L, Guo Y, Wang C, Ge Y, Zheng X, et al. Green analytical chemistry metrics for evaluating the greenness of analytical procedures. J Pharm Anal. 2024;14(11):101013. https:\/\/doi.org\/10.1016\/j.jpha.2024.101013.","journal-title":"J Pharm Anal"},{"key":"6671_CR28","doi-asserted-by":"publisher","DOI":"10.3389\/bjbs.2024.12366","volume":"81","author":"SJ Pitt","year":"2024","unstructured":"Pitt SJ, Gunn A. The one health concept. Br J Biomed Sci. 2024;81:12366. https:\/\/doi.org\/10.3389\/bjbs.2024.12366.","journal-title":"Br J Biomed Sci"},{"issue":"1","key":"6671_CR29","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-024-65443-0","volume":"14","author":"S Behdad","year":"2024","unstructured":"Behdad S, Massudi R, Pakdel A. Non-destructive diagnosis of inflammatory bowel disease by near-infrared spectroscopy and aquaphotomics. Sci Rep. 2024;14(1):15895. https:\/\/doi.org\/10.1038\/s41598-024-65443-0.","journal-title":"Sci Rep"},{"issue":"16","key":"6671_CR30","doi-asserted-by":"publisher","first-page":"17340","DOI":"10.1002\/cam4.6346","volume":"12","author":"E Duckworth","year":"2023","unstructured":"Duckworth E, Mortimer M, Al-Sarireh B, Kanamarlapudi V, Roy D. Frontline clinical diagnosis-FTIR on pancreatic cancer. Cancer Med. 2023;12(16):17340\u20135. https:\/\/doi.org\/10.1002\/cam4.6346.","journal-title":"Cancer Med"},{"key":"6671_CR31","doi-asserted-by":"publisher","DOI":"10.1016\/j.chemolab.2024.105248","volume":"254","author":"AC Novack","year":"2024","unstructured":"Novack AC, Cobre AdF, Stremel DP, Ferreira LM, Campos ML, Pontarolo R. Development and validation of a new method by MIR-FTIR and chemometrics for the early diagnosis of leprosy and evaluation of the treatment effect. Chemometr Intell Lab Syst. 2024;254:105248. https:\/\/doi.org\/10.1016\/j.chemolab.2024.105248.","journal-title":"Chemometr Intell Lab Syst"},{"issue":"2","key":"6671_CR32","doi-asserted-by":"publisher","DOI":"10.1002\/ansa.70056","volume":"6","author":"KZA Domingues","year":"2025","unstructured":"Domingues KZA, Lazo REL, do Amaral LS, Cobre AF, Ferreira LM, Pontarolo R. Chemometric methods applied to infrared and raman spectroscopy for arboviruses diagnosis: a systematic review with meta-analysis. Anal Sci Adv. 2025;6(2):e70056. https:\/\/doi.org\/10.1002\/ansa.70056.","journal-title":"Anal Sci Adv"},{"key":"6671_CR33","doi-asserted-by":"publisher","DOI":"10.1155\/2020\/4343590","author":"ICC Ferreira","year":"2020","unstructured":"Ferreira ICC, Aguiar EMG, Silva ATF, Santos LLD, Cardoso-Sousa L, Ara\u00fajo TG, et al. Attenuated total reflection-fourier transform infrared (ATR-FTIR) spectroscopy analysis of saliva for breast cancer diagnosis. J Oncol. 2020. https:\/\/doi.org\/10.1155\/2020\/4343590.","journal-title":"J Oncol"},{"key":"6671_CR34","doi-asserted-by":"publisher","first-page":"30","DOI":"10.1016\/j.semcancer.2023.01.006","volume":"89","author":"S Huang","year":"2023","unstructured":"Huang S, Yang J, Shen N, Xu Q, Zhao Q. Artificial intelligence in lung cancer diagnosis and prognosis: current application and future perspective. Semin Cancer Biol. 2023;89:30\u20137. https:\/\/doi.org\/10.1016\/j.semcancer.2023.01.006.","journal-title":"Semin Cancer Biol"},{"issue":"11","key":"6671_CR35","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pntd.0011695","volume":"17","author":"TN Kariyawasam","year":"2023","unstructured":"Kariyawasam TN, Ciocchetta S, Visendi P, Soares Magalh\u00e3es RJ, Smith ME, Giacomin PR, et al. Near-infrared spectroscopy and machine learning algorithms for rapid and non-invasive detection of trichuris. PLoS Negl Trop Dis. 2023;17(11):e0011695. https:\/\/doi.org\/10.1371\/journal.pntd.0011695.","journal-title":"PLoS Negl Trop Dis"},{"issue":"30","key":"6671_CR36","doi-asserted-by":"publisher","first-page":"10391","DOI":"10.1021\/acs.analchem.1c00596","volume":"93","author":"A Banerjee","year":"2021","unstructured":"Banerjee A, Gokhale A, Bankar R, Palanivel V, Salkar A, Robinson H, et al. Rapid classification of covid-19 severity by atr-ftir spectroscopy of plasma samples. Anal Chem. 2021;93(30):10391\u20136. https:\/\/doi.org\/10.1021\/acs.analchem.1c00596.","journal-title":"Anal Chem"},{"key":"6671_CR37","doi-asserted-by":"publisher","DOI":"10.3390\/microorganisms9040708","author":"J Costa","year":"2021","unstructured":"Costa J, Ferreira EC, Santos C. Covid-19, chikungunya, dengue and zika diseases: an analytical platform based on MALDI-TOF MS, IR spectroscopy and RT-qPCR for accurate diagnosis and accelerate epidemics control. Microorganisms. 2021. https:\/\/doi.org\/10.3390\/microorganisms9040708.","journal-title":"Microorganisms"},{"issue":"7","key":"6671_CR38","doi-asserted-by":"publisher","DOI":"10.1002\/jbio.202200166","volume":"16","author":"BY Karas","year":"2023","unstructured":"Karas BY, Sitnikova VE, Nosenko TN, Dedkov VG, Arsentieva NA, Gavrilenko NV, et al. Atr-ftir spectrum analysis of plasma samples for rapid identification of recovered covid-19 individuals. J Biophotonics. 2023;16(7):e202200166. https:\/\/doi.org\/10.1002\/jbio.202200166.","journal-title":"J Biophotonics"},{"key":"6671_CR39","doi-asserted-by":"publisher","unstructured":"National Research Council Committee on Indicators for Waterborne P. Indicators for waterborne pathogens. Washington (DC): National Academies Press (US). Copyright 2004 by the National Academy of Sciences. All rights reserved. 2004. https:\/\/doi.org\/10.17226\/11010.","DOI":"10.17226\/11010"},{"key":"6671_CR40","volume-title":"Modern spectroscopy","author":"JM Hollas","year":"2004","unstructured":"Hollas JM. Modern spectroscopy. Chichester, UK: John Wiley & Sons; 2004."},{"key":"6671_CR41","unstructured":"Tasumi M. Introduction to experimental infrared spectroscopy: fundamentals and practical methods. In: Sakai A, Torii H, editors. Chichester: Wiley; 2015."},{"key":"6671_CR42","doi-asserted-by":"publisher","DOI":"10.1002\/0470011149","volume-title":"Infrared spectroscopy: Fundamentals and applications","author":"BH Stuart","year":"2004","unstructured":"Stuart BH. Infrared spectroscopy: Fundamentals and applications. Chichester: John Wiley & Sons; 2004."},{"key":"6671_CR43","volume-title":"Introduction to infrared and raman spectroscopy","author":"NB Colthup","year":"1990","unstructured":"Colthup NB, Daly LH, Wiberley SE. Introduction to infrared and raman spectroscopy. 3 ed. Boston: Academic Press; 1990.","edition":"3 ed"},{"key":"6671_CR44","doi-asserted-by":"publisher","DOI":"10.1093\/mmy\/myaf060","author":"A Dumont-Viollaz","year":"2025","unstructured":"Dumont-Viollaz A, Santos DAR, Thomson P. Zoonotic sporotrichosis: systematic review and clinical aspects of feline and canine cases. Med Mycol. 2025. https:\/\/doi.org\/10.1093\/mmy\/myaf060.","journal-title":"Med Mycol"},{"issue":"8","key":"6671_CR45","doi-asserted-by":"publisher","first-page":"1771","DOI":"10.1038\/nprot.2014.110","volume":"9","author":"MJ Baker","year":"2014","unstructured":"Baker MJ, Trevisan J, Bassan P, Bhargava R, Butler HJ, Dorling KM, et al. Using fourier transform IR spectroscopy to analyze biological materials. Nat Protoc. 2014;9(8):1771\u201391. https:\/\/doi.org\/10.1038\/nprot.2014.110.","journal-title":"Nat Protoc"},{"key":"6671_CR46","doi-asserted-by":"crossref","unstructured":"Cartes A, Thomson P, Gonz\u00e1lez C, dos Santos ARR, D\u00edaz R, Puyol J, et al. Case report: Severe ulcerative dermatitis leading to sepsis in a cat with sporotrichosis by sporothrix brasiliensis. Front Vet Sci. 2025;12 - 2025.","DOI":"10.3389\/fvets.2025.1573924"},{"issue":"6","key":"6671_CR47","doi-asserted-by":"publisher","first-page":"422","DOI":"10.3390\/jof10060422","volume":"10","author":"LH de Miranda","year":"2024","unstructured":"de Miranda LH, Santiago MD, Frankenfeld J, Reis EG, Menezes RC, Pereira SA, et al. Neutrophil oxidative burst profile is related to a satisfactory response to itraconazole and clinical cure in feline sporotrichosis. Journal of Fungi. 2024;10(6):422. https:\/\/doi.org\/10.3390\/jof10060422.","journal-title":"Journal of Fungi"},{"issue":"19","key":"6671_CR48","doi-asserted-by":"publisher","first-page":"12117","DOI":"10.1021\/acs.analchem.9b02280","volume":"91","author":"D Finlayson","year":"2019","unstructured":"Finlayson D, Rinaldi C, Baker MJ. Is infrared spectroscopy ready for the clinic? Anal Chem. 2019;91(19):12117\u201328. https:\/\/doi.org\/10.1021\/acs.analchem.9b02280.","journal-title":"Anal Chem"},{"issue":"1","key":"6671_CR49","doi-asserted-by":"publisher","DOI":"10.1111\/myc.70151","volume":"69","author":"AGJ Medeiros","year":"2026","unstructured":"Medeiros AGJ, Nascimento ALF, Rossato L, Santos DA, Peres NTA, Neto RGL, et al. Infrared spectroscopy as a promising tool for diagnosing and typing human pathogenic fungi. Mycoses. 2026;69(1):e70151. https:\/\/doi.org\/10.1111\/myc.70151.","journal-title":"Mycoses"},{"issue":"2","key":"6671_CR50","doi-asserted-by":"publisher","DOI":"10.1002\/tbio.202000025","volume":"3","author":"AG Theakstone","year":"2021","unstructured":"Theakstone AG, Rinaldi C, Butler HJ, Cameron JM, Confield LR, Rutherford SH, et al. Fourier-transform infrared spectroscopy of biofluids: a practical approach. Transl Biophotonics. 2021;3(2):e202000025. https:\/\/doi.org\/10.1002\/tbio.202000025.","journal-title":"Transl Biophotonics"},{"key":"6671_CR51","doi-asserted-by":"publisher","DOI":"10.3390\/molecules28052320","author":"KS Maiti","year":"2023","unstructured":"Maiti KS. Non-invasive disease specific biomarker detection using infrared spectroscopy: a review. Molecules. 2023. https:\/\/doi.org\/10.3390\/molecules28052320.","journal-title":"Molecules"},{"issue":"24","key":"6671_CR52","doi-asserted-by":"publisher","DOI":"10.3390\/s22249764","volume":"22","author":"W Zhang","year":"2022","unstructured":"Zhang W, Kasun LC, Wang QJ, Zheng Y, Lin Z. A review of machine learning for near-infrared spectroscopy. Sensors (Basel). 2022;22(24):9764. https:\/\/doi.org\/10.3390\/s22249764.","journal-title":"Sensors (Basel)"},{"issue":"1","key":"6671_CR53","doi-asserted-by":"publisher","first-page":"70","DOI":"10.1039\/c3cs60183h","volume":"43","author":"S Stewart","year":"2014","unstructured":"Stewart S, Ivy MA, Anslyn EV. The use of principal component analysis and discriminant analysis in differential sensing routines. Chem Soc Rev. 2014;43(1):70\u201384. https:\/\/doi.org\/10.1039\/c3cs60183h.","journal-title":"Chem Soc Rev"},{"issue":"6","key":"6671_CR54","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0177678","volume":"12","author":"S Boughorbel","year":"2017","unstructured":"Boughorbel S, Jarray F, El-Anbari M. Optimal classifier for imbalanced data using matthews correlation coefficient metric. PLoS One. 2017;12(6):e0177678. https:\/\/doi.org\/10.1371\/journal.pone.0177678.","journal-title":"PLoS One"},{"issue":"1","key":"6671_CR55","doi-asserted-by":"publisher","DOI":"10.1186\/s12864-019-6413-7","volume":"21","author":"D Chicco","year":"2020","unstructured":"Chicco D, Jurman G. The advantages of the matthews correlation coefficient (MCC) over F1 score and accuracy in binary classification evaluation. BMC Genomics. 2020;21(1):6. https:\/\/doi.org\/10.1186\/s12864-019-6413-7.","journal-title":"BMC Genomics"},{"issue":"1","key":"6671_CR56","doi-asserted-by":"publisher","first-page":"128","DOI":"10.1097\/EDE.0b013e3181c30fb2","volume":"21","author":"EW Steyerberg","year":"2010","unstructured":"Steyerberg EW, Vickers AJ, Cook NR, Gerds T, Gonen M, Obuchowski N, et al. Assessing the performance of prediction models: a framework for traditional and novel measures. Epidemiology. 2010;21(1):128\u201338. https:\/\/doi.org\/10.1097\/EDE.0b013e3181c30fb2.","journal-title":"Epidemiology"},{"issue":"2","key":"6671_CR57","doi-asserted-by":"publisher","first-page":"134","DOI":"10.1080\/05704920701829043","volume":"43","author":"Z Movasaghi","year":"2008","unstructured":"Movasaghi Z, Rehman S, Rehman DI. Fourier transform infrared (FTIR) spectroscopy of biological tissues. Appl Spectrosc Rev. 2008;43(2):134\u201379. https:\/\/doi.org\/10.1080\/05704920701829043.","journal-title":"Appl Spectrosc Rev"},{"key":"6671_CR58","doi-asserted-by":"publisher","unstructured":"Naumann D. Infrared spectroscopy in microbiology. Encyclopedia Anal Chem. 2006. https:\/\/doi.org\/10.1002\/9780470027318.a0117.","DOI":"10.1002\/9780470027318.a0117"},{"issue":"1","key":"6671_CR59","doi-asserted-by":"publisher","DOI":"10.1186\/s41512-023-00146-0","volume":"7","author":"A Geroldinger","year":"2023","unstructured":"Geroldinger A, Lusa L, Nold M, Heinze G. Leave-one-out cross-validation, penalization, and differential bias of some prediction model performance measures-a simulation study. Diagn Progn Res. 2023;7(1):9. https:\/\/doi.org\/10.1186\/s41512-023-00146-0.","journal-title":"Diagn Progn Res"},{"key":"6671_CR60","doi-asserted-by":"publisher","DOI":"10.3389\/fnano.2022.972421","volume":"4","author":"S Prusty","year":"2022","unstructured":"Prusty S, Patnaik S, Dash S. SKCV: stratified k-fold cross-validation on ML classifiers for predicting cervical cancer. Front Nanotechnol. 2022;4:972421. https:\/\/doi.org\/10.3389\/fnano.2022.972421.","journal-title":"Front Nanotechnol"},{"key":"6671_CR61","doi-asserted-by":"publisher","unstructured":"Fathonah S, Setyaningsih E, Susanti E.Taukhit. Cross-patient evaluation of cnn-based facial expression recognition for intubated icu patients using leave-one-patient-out validation. Eng Technol Appl Sci Res. 2026;16:33187\u201395. https:\/\/doi.org\/10.48084\/etasr.16931.","DOI":"10.48084\/etasr.16931"},{"issue":"4","key":"6671_CR62","doi-asserted-by":"publisher","first-page":"621","DOI":"10.1093\/jamia\/ocz228","volume":"27","author":"Y Huang","year":"2020","unstructured":"Huang Y, Li W, Macheret F, Gabriel RA, Ohno-Machado L. A tutorial on calibration measurements and calibration models for clinical prediction models. J Am Med Inform Assoc. 2020;27(4):621\u201333. https:\/\/doi.org\/10.1093\/jamia\/ocz228.","journal-title":"J Am Med Inform Assoc"},{"key":"6671_CR63","doi-asserted-by":"publisher","first-page":"167","DOI":"10.1016\/j.jclinepi.2015.12.005","volume":"74","author":"B Van Calster","year":"2016","unstructured":"Van Calster B, Nieboer D, Vergouwe Y, De Cock B, Pencina MJ, Steyerberg EW. A calibration hierarchy for risk models was defined: from utopia to empirical data. J Clin Epidemiol. 2016;74:167\u201376. https:\/\/doi.org\/10.1016\/j.jclinepi.2015.12.005.","journal-title":"J Clin Epidemiol"}],"container-title":["Analytical and Bioanalytical Chemistry"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00216-026-06671-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00216-026-06671-3","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00216-026-06671-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,9,17]],"date-time":"2026-09-17T06:09:51Z","timestamp":1789625391000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00216-026-06671-3"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,7,24]]},"references-count":63,"journal-issue":{"issue":"19","published-print":{"date-parts":[[2026,10]]}},"alternative-id":["6671"],"URL":"https:\/\/doi.org\/10.1007\/s00216-026-06671-3","relation":{},"ISSN":["1618-2642","1618-2650"],"issn-type":[{"value":"1618-2642","type":"print"},{"value":"1618-2650","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,7,24]]},"assertion":[{"value":"3 April 2026","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"6 July 2026","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"9 July 2026","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"24 July 2026","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"The project was approved by the Animal Ethics Committee for Research of the Agrarian Sciences Sector of the Federal University of Paran\u00e1 (UFPR), under protocol no. 069\/2023.","order":1,"name":"Ethics","label":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare no competing interests.","order":2,"name":"Ethics","label":"Conflict of interest","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"During the preparation of this work, the authors used Grammarly and Gemini to improve the readability and language of the manuscript. After using this tool\/service, the authors reviewed and edited the content as necessary and take full responsibility for the content of the published article.","order":3,"name":"Ethics","label":"Declaration of generative AI in scientific writing","group":{"name":"EthicsHeading","label":"Declarations"}}]}}