Issue 40, 2023

Quantification of solution-free red blood cell staining by sorption kinetics of Romanowsky stains to agarose gels

Abstract

The imaging and quantification of stained red blood cells (RBCs) are important for identifying RBCs in hematology and for diagnosing diseased RBCs or parasites in cytopathology. Romanowsky staining has been used traditionally to produce hues in blood cells using a mixture of anionic eosin Y and cationic methylene blue and azure B. While Romanowsky stains have been widely used in cytopathology, end-users have experienced problems with varying results in staining due to the premature precipitation or evaporation of methanol, leading to the inherent inconsistency of solution-based Romanowsky staining. Herein, we demonstrate that the staining and destaining of blood smears are controllable by the contact time of agarose gel stamps. While the extent of staining and destaining is discernable by the hue values of stamped red blood cells in micrographs, the quantification of adsorbed and desorbed Romanowsky dye molecules (in particular, eosin Y, methylene blue and azure B) from and to the agarose gel stamps needs a model that can explain the sorption process. We found predictable sorption of the Romanowsky dye molecules from the pseudo-second-order kinetic model for adsorption and the one phase decay model for desorption. Thus, the method of agarose gel stamping demonstrated here could be an alternative to solution-based Romanowsky staining with the predictable quantity of sorption and timing of contact.

Graphical abstract: Quantification of solution-free red blood cell staining by sorption kinetics of Romanowsky stains to agarose gels

Supplementary files

Article information

Article type
Paper
Submitted
15 Aug 2023
Accepted
22 Sep 2023
First published
26 Sep 2023
This article is Open Access
Creative Commons BY-NC license

Anal. Methods, 2023,15, 5369-5379

Quantification of solution-free red blood cell staining by sorption kinetics of Romanowsky stains to agarose gels

C. Y. Bae, H. Esmaeili, S. A. Zamin, M. J. Seol, E. Hwang, S. K. Beak, Y. Song, B. Bharti and J. P. Jung, Anal. Methods, 2023, 15, 5369 DOI: 10.1039/D3AY01431B

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