Use of Fourier transform infrared spectroscopy and chemometric analysis to predict the bacilloscopic index in the saliva of leprosy patients
Leprosy is an infectious disease caused by the Mycobacterium leprae complex. Although the diagnosis of this disease is clinical, additional tests are often needed. One of the most common tests is intradermal smear bacilloscopy, which detects the patient's bacillary load. However, bacilloscopy i...
Saved in:
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-04-01
|
| Series: | Photodiagnosis and Photodynamic Therapy |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1572100025000377 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1849721071366832128 |
|---|---|
| author | Paulo Cezar de Moraes Maria Lúcia Scroferneker Alessandra Koehler Letícia Maria Eidt Cristiane Almeida Soares Cattani Valeriano Antonio Corbellini |
| author_facet | Paulo Cezar de Moraes Maria Lúcia Scroferneker Alessandra Koehler Letícia Maria Eidt Cristiane Almeida Soares Cattani Valeriano Antonio Corbellini |
| author_sort | Paulo Cezar de Moraes |
| collection | DOAJ |
| description | Leprosy is an infectious disease caused by the Mycobacterium leprae complex. Although the diagnosis of this disease is clinical, additional tests are often needed. One of the most common tests is intradermal smear bacilloscopy, which detects the patient's bacillary load. However, bacilloscopy is an invasive test and its results are subjective. The aim of this study was to propose a methodology based on Fourier transform infrared (FTIR) spectroscopy to predict the bacilloscopic index in the saliva of leprosy patients. A total of 88 saliva samples were included, and the bacilloscopic index of the patients was previously defined by intradermal smear bacilloscopy. The saliva samples were analyzed by attenuated total reflection (ATR)-FTIR; a supervised analysis with partial least squares regression (PLS), after orthogonal signal correction (OSC), was used to predict the bacilloscopic index. The PLS model with three latent variables and one OSC component obtained a coefficient of determination greater than 0.9999 in both the calibration and prediction sets. The model was able to predict the bacilloscopic indexes with a minimum error, demonstrating its robustness. Thus, modeling with ATR/FTIR and multivariate calibration using one OSC component showed high accuracy and reproducibility, overcoming the limitations of intradermal smear bacilloscopy and proving to be a promising method in the clinical management of patients with leprosy. |
| format | Article |
| id | doaj-art-aa366388ee29448ca615a2fe80fa7c20 |
| institution | DOAJ |
| issn | 1572-1000 |
| language | English |
| publishDate | 2025-04-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Photodiagnosis and Photodynamic Therapy |
| spelling | doaj-art-aa366388ee29448ca615a2fe80fa7c202025-08-20T03:11:47ZengElsevierPhotodiagnosis and Photodynamic Therapy1572-10002025-04-015210450710.1016/j.pdpdt.2025.104507Use of Fourier transform infrared spectroscopy and chemometric analysis to predict the bacilloscopic index in the saliva of leprosy patientsPaulo Cezar de Moraes0Maria Lúcia Scroferneker1Alessandra Koehler2Letícia Maria Eidt3Cristiane Almeida Soares Cattani4Valeriano Antonio Corbellini5Department of Sanitary Dermatology, Sanitary Dermatology Outpatient Clinic, State Health Secretariat of Rio Grande do Sul, Avenida João Pessoa, 1327 CEP 90040-001 Porto Alegre RS, Brazil; Postgraduate Program of Medicine: Medical Sciences, Universidade Federal do Rio Grande do Sul, UFRGS. Rua Ramiro Barcelos, 2400 CEP: 90035-003, Porto Alegre RS, BrazilPostgraduate Program of Medicine: Medical Sciences, Universidade Federal do Rio Grande do Sul, UFRGS. Rua Ramiro Barcelos, 2400 CEP: 90035-003, Porto Alegre RS, Brazil; Department of Microbiology, Immunology and Parasitology, ICBS, Universidade Federal do Rio Grande do Sul - UFRGS. Rua Sarmento Leite, 500, CEP: 90050-170, Porto Alegre RS, BrazilPostgraduate Program of Medicine: Medical Sciences, Universidade Federal do Rio Grande do Sul, UFRGS. Rua Ramiro Barcelos, 2400 CEP: 90035-003, Porto Alegre RS, BrazilDepartment of Sanitary Dermatology, Sanitary Dermatology Outpatient Clinic, State Health Secretariat of Rio Grande do Sul, Avenida João Pessoa, 1327 CEP 90040-001 Porto Alegre RS, BrazilDepartment of Sanitary Dermatology, Sanitary Dermatology Outpatient Clinic, State Health Secretariat of Rio Grande do Sul, Avenida João Pessoa, 1327 CEP 90040-001 Porto Alegre RS, BrazilDepartment of Sciences, Humanities and Education, Postgraduate Program of Health Promotion, Postgraduate Program of Environmental Technology, Universidade de Santa Cruz do Sul – UNISC, Avenida Independência, 2293, CEP: 96815-900, Santa Cruz do Sul RS, Brazil; Corresponding author at: Universidade de Santa Cruz do Sul, Department of Sciences, Humanities and Education, Avenida Independência, 2293, CEP 96815-900, Santa Cruz do Sul RS, Brazil.Leprosy is an infectious disease caused by the Mycobacterium leprae complex. Although the diagnosis of this disease is clinical, additional tests are often needed. One of the most common tests is intradermal smear bacilloscopy, which detects the patient's bacillary load. However, bacilloscopy is an invasive test and its results are subjective. The aim of this study was to propose a methodology based on Fourier transform infrared (FTIR) spectroscopy to predict the bacilloscopic index in the saliva of leprosy patients. A total of 88 saliva samples were included, and the bacilloscopic index of the patients was previously defined by intradermal smear bacilloscopy. The saliva samples were analyzed by attenuated total reflection (ATR)-FTIR; a supervised analysis with partial least squares regression (PLS), after orthogonal signal correction (OSC), was used to predict the bacilloscopic index. The PLS model with three latent variables and one OSC component obtained a coefficient of determination greater than 0.9999 in both the calibration and prediction sets. The model was able to predict the bacilloscopic indexes with a minimum error, demonstrating its robustness. Thus, modeling with ATR/FTIR and multivariate calibration using one OSC component showed high accuracy and reproducibility, overcoming the limitations of intradermal smear bacilloscopy and proving to be a promising method in the clinical management of patients with leprosy.http://www.sciencedirect.com/science/article/pii/S1572100025000377LeprosyBacilloscopyBacilloscopic indexInfrared spectroscopy |
| spellingShingle | Paulo Cezar de Moraes Maria Lúcia Scroferneker Alessandra Koehler Letícia Maria Eidt Cristiane Almeida Soares Cattani Valeriano Antonio Corbellini Use of Fourier transform infrared spectroscopy and chemometric analysis to predict the bacilloscopic index in the saliva of leprosy patients Photodiagnosis and Photodynamic Therapy Leprosy Bacilloscopy Bacilloscopic index Infrared spectroscopy |
| title | Use of Fourier transform infrared spectroscopy and chemometric analysis to predict the bacilloscopic index in the saliva of leprosy patients |
| title_full | Use of Fourier transform infrared spectroscopy and chemometric analysis to predict the bacilloscopic index in the saliva of leprosy patients |
| title_fullStr | Use of Fourier transform infrared spectroscopy and chemometric analysis to predict the bacilloscopic index in the saliva of leprosy patients |
| title_full_unstemmed | Use of Fourier transform infrared spectroscopy and chemometric analysis to predict the bacilloscopic index in the saliva of leprosy patients |
| title_short | Use of Fourier transform infrared spectroscopy and chemometric analysis to predict the bacilloscopic index in the saliva of leprosy patients |
| title_sort | use of fourier transform infrared spectroscopy and chemometric analysis to predict the bacilloscopic index in the saliva of leprosy patients |
| topic | Leprosy Bacilloscopy Bacilloscopic index Infrared spectroscopy |
| url | http://www.sciencedirect.com/science/article/pii/S1572100025000377 |
| work_keys_str_mv | AT paulocezardemoraes useoffouriertransforminfraredspectroscopyandchemometricanalysistopredictthebacilloscopicindexinthesalivaofleprosypatients AT marialuciascroferneker useoffouriertransforminfraredspectroscopyandchemometricanalysistopredictthebacilloscopicindexinthesalivaofleprosypatients AT alessandrakoehler useoffouriertransforminfraredspectroscopyandchemometricanalysistopredictthebacilloscopicindexinthesalivaofleprosypatients AT leticiamariaeidt useoffouriertransforminfraredspectroscopyandchemometricanalysistopredictthebacilloscopicindexinthesalivaofleprosypatients AT cristianealmeidasoarescattani useoffouriertransforminfraredspectroscopyandchemometricanalysistopredictthebacilloscopicindexinthesalivaofleprosypatients AT valerianoantoniocorbellini useoffouriertransforminfraredspectroscopyandchemometricanalysistopredictthebacilloscopicindexinthesalivaofleprosypatients |