Qualitative evaluation of ferritin in serum samples by Raman spectroscopy and principal component analysis

Juan Manuel Ruvalcaba-López, Teodoro Córdova-Fraga, Guadalupe de la Rosa-Alvarez, Blanca Olivia Murillo-Ortiz, Juan Carlos Martínez-Espinosa, Rafael Guzmán-Cabrera, Jesús Bernal-Alvarado

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4 Scopus citations


© 2018 Springer-Verlag London Ltd., part of Springer Nature Iron molecule is of great importance in the synthesis of hemoglobin which is essential for oxygen transport. Iron levels are quantified by accurately high sensitivity tests, such as serum ferritin (SF). However, common studies to quantify SF are long and strenuous (~ 5 h), for example enzyme-linked immunosorbent assay (ELISA). In this paper, blood serum samples were analyzed by Raman spectroscopy (RS), and a computational analysis of spectra is proposed to detect differences in SF as an alternative procedure. Serum samples were obtained from 22 patients, 9 who were clinically diagnosed with anemia and 13 controls. Patients with anemia had low levels of SF (< 30 ng/ml), and a control group had levels between 30 and 500 ng/ml. The spectra obtained were conditioned with a baseline correction and smoothing, then evaluated by principal component analysis (PCA), and a predictive model was estimated by lineal discrimination analysis (LDA). The results showed a clear differentiation of the study groups by PCA, also 99.69% sensitivity and 100% specificity by LDA. This study suggest that Raman spectroscopy is a fast (~ 5 min) and a powerful tool capable to qualitative differentiate ferritin concentrations.
Original languageAmerican English
Pages (from-to)1-6
Number of pages6
JournalLasers in Medical Science
StatePublished - 6 Jul 2018
Externally publishedYes


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