Viability of ABO Blood Typing with ATR-FTIR Spectroscopy
Fourier Transform Infrared Spectroscopy (FTIR) provides valuable biochemical information for biomedical analysis. It aids in identifying cancerous tissues, diagnosing diseases like acute pancreatitis or Alzheimer’s, and has applications in genomics, proteomics, and metabolomics. A combination of FTI...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2023-08-01
|
| Series: | Applied Sciences |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2076-3417/13/17/9650 |
| _version_ | 1797582889749053440 |
|---|---|
| author | Alfonso Fernández-González Álvaro J. Obaya Christian Chimeno-Trinchet Tania Fontanil Rosana Badía-Laíño |
| author_facet | Alfonso Fernández-González Álvaro J. Obaya Christian Chimeno-Trinchet Tania Fontanil Rosana Badía-Laíño |
| author_sort | Alfonso Fernández-González |
| collection | DOAJ |
| description | Fourier Transform Infrared Spectroscopy (FTIR) provides valuable biochemical information for biomedical analysis. It aids in identifying cancerous tissues, diagnosing diseases like acute pancreatitis or Alzheimer’s, and has applications in genomics, proteomics, and metabolomics. A combination of FTIR and chemometrics constitute an approach that shows promise in fields like biology, forensics, food quality control, and plant variety identification. This study aims to explore the feasibility of ATR-FTIR spectroscopy for identifying ABO-blood types using spectroscopic tools. We employ various classifying algorithms, including Linear Discriminant Analysis (LDA), Naïve Bayes Classifier (NBC), Principal Component Analysis (PCA), and combinations of these methods, to detect A and B antigens and determine the ABO blood type. The results show that these algorithms predict the blood type to a greater extent than random selection, although they do not match the precision of biochemical blood typing tools. Additionally, our findings suggest the higher sensitivity of the methodology in identifying B antigens compared to A antigens. |
| first_indexed | 2024-03-10T23:27:58Z |
| format | Article |
| id | doaj.art-b5f48bb9c5f846d19b2de0b8ad8cb2db |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-10T23:27:58Z |
| publishDate | 2023-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-b5f48bb9c5f846d19b2de0b8ad8cb2db2023-11-19T07:49:57ZengMDPI AGApplied Sciences2076-34172023-08-011317965010.3390/app13179650Viability of ABO Blood Typing with ATR-FTIR SpectroscopyAlfonso Fernández-González0Álvaro J. Obaya1Christian Chimeno-Trinchet2Tania Fontanil3Rosana Badía-Laíño4Department of Physical and Analytical Chemistry, University of Oviedo, 33006 Oviedo, SpainDepartment of Functional Biology, University of Oviedo, 33006 Oviedo, SpainDepartment of Physical and Analytical Chemistry, University of Oviedo, 33006 Oviedo, SpainUnidad de Terapias Avanzadas, Instituto Ordoñez, 33012 Oviedo, SpainDepartment of Physical and Analytical Chemistry, University of Oviedo, 33006 Oviedo, SpainFourier Transform Infrared Spectroscopy (FTIR) provides valuable biochemical information for biomedical analysis. It aids in identifying cancerous tissues, diagnosing diseases like acute pancreatitis or Alzheimer’s, and has applications in genomics, proteomics, and metabolomics. A combination of FTIR and chemometrics constitute an approach that shows promise in fields like biology, forensics, food quality control, and plant variety identification. This study aims to explore the feasibility of ATR-FTIR spectroscopy for identifying ABO-blood types using spectroscopic tools. We employ various classifying algorithms, including Linear Discriminant Analysis (LDA), Naïve Bayes Classifier (NBC), Principal Component Analysis (PCA), and combinations of these methods, to detect A and B antigens and determine the ABO blood type. The results show that these algorithms predict the blood type to a greater extent than random selection, although they do not match the precision of biochemical blood typing tools. Additionally, our findings suggest the higher sensitivity of the methodology in identifying B antigens compared to A antigens.https://www.mdpi.com/2076-3417/13/17/9650FTIRATR-FTIRlinear discriminant analysisLDAnaïve Bayesian classifierNBC |
| spellingShingle | Alfonso Fernández-González Álvaro J. Obaya Christian Chimeno-Trinchet Tania Fontanil Rosana Badía-Laíño Viability of ABO Blood Typing with ATR-FTIR Spectroscopy Applied Sciences FTIR ATR-FTIR linear discriminant analysis LDA naïve Bayesian classifier NBC |
| title | Viability of ABO Blood Typing with ATR-FTIR Spectroscopy |
| title_full | Viability of ABO Blood Typing with ATR-FTIR Spectroscopy |
| title_fullStr | Viability of ABO Blood Typing with ATR-FTIR Spectroscopy |
| title_full_unstemmed | Viability of ABO Blood Typing with ATR-FTIR Spectroscopy |
| title_short | Viability of ABO Blood Typing with ATR-FTIR Spectroscopy |
| title_sort | viability of abo blood typing with atr ftir spectroscopy |
| topic | FTIR ATR-FTIR linear discriminant analysis LDA naïve Bayesian classifier NBC |
| url | https://www.mdpi.com/2076-3417/13/17/9650 |
| work_keys_str_mv | AT alfonsofernandezgonzalez viabilityofabobloodtypingwithatrftirspectroscopy AT alvarojobaya viabilityofabobloodtypingwithatrftirspectroscopy AT christianchimenotrinchet viabilityofabobloodtypingwithatrftirspectroscopy AT taniafontanil viabilityofabobloodtypingwithatrftirspectroscopy AT rosanabadialaino viabilityofabobloodtypingwithatrftirspectroscopy |