A New Method for Screening Thalassemia Patients Using Mid-Infrared Spectroscopy
Kanjana Thumanu1, Tanaporn Khamgasem1, Somsamorn Sukpong2
1Synchrotron Light Research Institute (Public Organization), 111 University Avenue, Mueang District, Nakhon Ratchasima 30000, Thailand.
Diagnostics (Basel, Switzerland)
|January 10, 2026
Summary
Infrared (IR) Microspectroscopy shows promise for thalassemia screening. This rapid, label-free method can differentiate between normal individuals, carriers, and thalassemia patients with high accuracy.
Area of Science:
- Biochemistry
- Medical Diagnostics
- Spectroscopy
Background:
- Thalassemia is an inherited blood disorder affecting hemoglobin production, leading to anemia.
- It is classified into alpha (α) and beta (β) types based on affected globin genes.
- Current diagnostic methods can be invasive or require chemical reagents.
Purpose of the Study:
- To evaluate Infrared (IR) Microspectroscopy as a novel diagnostic tool for thalassemia.
- To assess the ability of IR Microspectroscopy to distinguish between normal, carrier, and thalassemia patient samples.
- To explore the potential of IR-based spectral analysis in clinical screening.
Main Methods:
- Analysis of hemoglobin lysate from 333 individuals (normal, carriers, thalassemia patients).
- Utilized IR Microspectroscopy combined with Principal Component Analysis (PCA) and Partial Least Squares Discriminant Analysis (PLS-DA).
- Investigated spectral features correlating with different disease statuses and genotypes.
Main Results:
- Significant spectral differences were observed between the groups.
- Classification models achieved high diagnostic performance, with ~80-90% sensitivity and specificity.
- The non-destructive, reagent-free nature of IR Microspectroscopy offers advantages over conventional assays.
Conclusions:
- IR-based spectral analysis demonstrates potential as a complementary tool for thalassemia screening.
- Further integration with machine learning could enhance early detection and risk stratification.
- This approach may improve routine clinical workflows for thalassemia management.
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