RT Journal Article
T1 Measuring haemolysis in cattle serum by direct UV–VIS and RGB digital image-based methods
A1 Larrán Franco, Belén
A1 López Alonso, María Marta
A1 Miranda Castañón, Marta Inés
A1 Pereira Lestayo, Víctor
A1 Rigueira Rey, Lucas
A1 Suárez Rey, María Luisa
A1 Herrero Latorre, Carlos
K1 Biochemical assays
K1 Optical spectroscopy
AB A simple, rapid procedure is required for the routine detection and quantification of haemolysis, one of the main sources of unreliable results in serum analysis. In this study, we compared two different approaches for the rapid determination of haemolysis in cattle serum. The first consisted of estimating haemolysis via a simple direct ultraviolet–visible (UV–VIS) spectrophotometric measurement of serum samples. The second involved analysis of red, green, blue (RGB) colour data extracted from digital images of serum samples and relating the haemoglobin (Hb) content by means of both univariate (R, G, B and intensity separately) and multivariate calibrations (R, G, B and intensity jointly) using partial least squares regression and artificial neural networks. The direct UV–VIS analysis and RGB-multivariate analysis using neural network methods were both appropriate for evaluating haemolysis in serum cattle samples. The procedures displayed good accuracy (mean recoveries of 100.7 and 102.1%, respectively), adequate precision (with coefficients of variation from 0.21 to 2.68%), limit of detection (0.14 and 0.21 g L–1, respectively), and linearity of up to 10 g L–
PB Springer Nature
SN 2045-2322
YR 2022
FD 2022
LK http://hdl.handle.net/10347/30193
UL http://hdl.handle.net/10347/30193
LA eng
NO Larrán, B., López-Alonso, M., Miranda, M. et al. Measuring haemolysis in cattle serum by direct UV–VIS and RGB digital image-based methods. Sci Rep 12, 13523 (2022). https://doi.org/10.1038/s41598-022-17842-4
DS Minerva
RD 23 abr 2026