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October 3, 2013Journal of Innovative Optical Health SciencesOpen Access

Quantification of glycated hemoglobin indicator HbA1c through near-infrared spectroscopy

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Key result

Simultaneous near-infrared spectroscopic analysis of hemoglobin and absolute HbA1c content accurately quantified the relative percentage of HbA1c (validation root mean square error 0.40%, V-Rp 0.829).

Population

Human hemolysate samples

Design

Other

Authors

TPTao PanNanjing Agricultural UniversityMLMinmiao LiJCJiemei ChenJinan University

Discussion

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Implication

Feasibility in hemolysates supports NIR spectroscopy development; leaves open in vivo accuracy and clinical utility.

Structured PICO

P
Population
Human hemolysate samples
E
Exposure
Simultaneous near-infrared (NIR) spectral determination of hemoglobin (Hb) and absolute HbA1c content using moving window partial least square (MWPLS) method
O
Outcome
Validation root mean square error and validation correlation coefficients of prediction for Hb and HbA1csurrogate

Main Result

Effect estimate: V-SEP 0.40%, V-RP 0.829

Near-infrared spectroscopy demonstrates feasibility for the quantitative analysis of HbA1c in human hemolysate samples.

Cite This Study

Pan et al. (2013) studied HbA1c quantification. Near-infrared (NIR) spectroscopy was evaluated on Validation root mean square error (V-SEP) and correlation coefficient (V-RP) for relative percentage of HbA1c (V-SEP 0.40%, V-RP 0.829). Simultaneous near-infrared spectroscopic analysis of hemoglobin and absolute HbA1c content accurately quantified the relative percentage of HbA1c (validation root mean square error 0.40%, V-Rp 0.829).

synapsesocial.com/papers/6a870575b712452940cbb0d4https://doi.org/10.1142/s1793545813500600
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