ArticleLasers in medical science2015
Raman spectroscopy for a rapid diagnosis of sickle cell disease in human blood samples: a preliminary study.
Article in Lasers in medical science, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 19 citations in OpenAlex.
- Application of Raman spectroscopy and machine learning forApplied and environmental microbiology · 2024Article
- Diagnosing sickle cell disease and iron deficiency anemia in human blood by Raman spectroscopy.Lasers in medical science · 2020Article
- Atomic force microscopy and Raman spectra profile of blood components associated with exposure to cigarette smoking.RSC advances · 2020Article
- Integration of diffraction phase microscopy and Raman imaging for label-free morpho-molecular assessment of live cells.Journal of biophotonics · 2019Article
- Discrimination model applied to urinalysis of patients with diabetes and hypertension aiming at diagnosis of chronic kidney disease by Raman spectroscopy.Lasers in medical science · 2017Article
- Quantifying glucose and lipid components in human serum by Raman spectroscopy and multivariate statistics.Lasers in medical science · 2017Article
- Sickle cell retinopathy: improving care with a multidisciplinary approach.Journal of multidisciplinary healthcare · 2017Review
- Estimating the concentration of urea and creatinine in the human serum of normal and dialysis patients through Raman spectroscopy.Lasers in medical science · 2016Article
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Raman spectroscopy has been proposed as a tool for diagnosis of human blood diseases aiming a quick and accurate diagnosis. Sickle cell disease arises in infancy and causes a severe anemia; thus, an early diagnosis may avoid pathological complications such as vasoocclusion, hemolytic anemia, retinopathy, cardiovascular disease, and infections. This work evaluated spectral differences between hemoglobin S (HbS) and hemoglobin A (HbA) to be used in a diagnostic model based on principal components analysis. Blood samples of patients with a previous diagnosis of sickle cell disease were hemolyzed with water, centrifuged, and the pellet was collected with a pipette. Near-infrared Raman spectra (830 nm, 200 mW) were obtained from these samples, and a model based on principal components analysis and Mahalanobis distance were used to discriminate HbA from HbS. Differences were found in the spectra of HbS and HbA, mainly in the 882 and 1,373 cm(-1) (valine, HbA) and 1,547 and 1,622 cm(-1) (glutamic acid, HbS). The spectral model could correctly discriminate 100% of the samples in the correspondent groups. Raman spectroscopy was able to detect the subtle changes in the polypeptide chain (valine and glutamic acid substitution) due to the sickle cell disease and could be used to discriminate blood samples with HbS from HbA with minimum sample preparations (hemolysis with water and centrifugation).
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