Literature DB >> 26047997

Quantitative blood group typing using surface plasmon resonance.

Whui Lyn Then1, Marie-Isabel Aguilar2, Gil Garnier3.   

Abstract

The accurate and reliable typing of blood groups is essential prior to blood transfusion. While current blood typing methods are well established, results are subjective and heavily reliant on analysis by trained personnel. Techniques for quantifying blood group antibody-antigen interactions are also very limited. Many biosensing systems rely on surface plasmon resonance (SPR) detection to quantify biomolecular interactions. While SPR has been widely used for characterizing antibody-antigen interactions, measuring antibody interactions with whole cells is significantly less common. Previous studies utilized SPR for blood group antigen detection, however, showed poor regeneration causing loss of functionality after a single use. In this study, a fully regenerable, multi-functional platform for quantitative blood group typing via SPR detection is achieved by immobilizing anti-human IgG antibody to the sensor surface, which binds to the Fc region of human IgG antibodies. The surface becomes an interchangeable platform capable of quantifying the blood group interactions between red blood cells (RBCs) and IgG antibodies. As with indirect antiglobulin tests (IAT), which use IgG antibodies for detection, IgG antibodies are initially incubated with RBCs. This facilitates binding to the immobilized monolayer and allows for quantitative blood group detection. Using the D-antigen as an example, a clear distinction between positive (>500 RU) and negative (<100 RU) RBCs is achieved using anti-D IgG. Complete regeneration of the anti-human IgG surface is also successful, showing negligible degradation of the surface after more than 100 regenerations. This novel approach is validated with human-sourced whole blood samples to demonstrate an interesting alternative for quantitative blood grouping using SPR analysis. Crown
Copyright © 2015. Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Blood group typing; Diagnostic; IgG antibody; Red blood cells (RBCs); Rh phenotype; Surface plasmon resonance

Mesh:

Substances:

Year:  2015        PMID: 26047997     DOI: 10.1016/j.bios.2015.05.053

Source DB:  PubMed          Journal:  Biosens Bioelectron        ISSN: 0956-5663            Impact factor:   10.618


  8 in total

1.  Quantitative and multiplexed detection for blood typing based on quantum dot-magnetic bead assay.

Authors:  Ting Xu; Qiang Zhang; Ya-Han Fan; Ru-Qing Li; Hua Lu; Shu-Ming Zhao; Tian-Lun Jiang
Journal:  Int J Nanomedicine       Date:  2017-04-26

2.  Quantitative Detection of Weak D Antigen Variants in Blood Typing using SPR.

Authors:  Whui Lyn Then; Marie-Isabel Aguilar; Gil Garnier
Journal:  Sci Rep       Date:  2017-05-09       Impact factor: 4.379

3.  Mapping the distribution of specific antibody interaction forces on individual red blood cells.

Authors:  Natasha Yeow; Rico F Tabor; Gil Garnier
Journal:  Sci Rep       Date:  2017-02-03       Impact factor: 4.379

4.  Red Blood Cell Agglutination for Blood Typing Within Passive Microfluidic Biochips.

Authors:  Maxime Huet; Myriam Cubizolles; Arnaud Buhot
Journal:  High Throughput       Date:  2018-04-19

5.  A Plasmonic Approach to Study Protein Interaction Kinetics through the Dimerization of Functionalized Ag Nanoparticles.

Authors:  Pablo A Mercadal; Ruben D Motrich; Eduardo A Coronado
Journal:  Sci Rep       Date:  2019-09-11       Impact factor: 4.379

Review 6.  Blood Group Testing.

Authors:  Hong-Yang Li; Kai Guo
Journal:  Front Med (Lausanne)       Date:  2022-02-11

7.  Effective Optical Image Assessment of Cellulose Paper Immunostrips for Blood Typing.

Authors:  Katarzyna Ratajczak; Karolina Sklodowska-Jaros; Ewelina Kalwarczyk; Jacek A Michalski; Slawomir Jakiela; Magdalena Stobiecka
Journal:  Int J Mol Sci       Date:  2022-08-04       Impact factor: 6.208

8.  Fully-automatic blood-typing chip exploiting bubbles for quick dilution and detection.

Authors:  Ken Yamamoto; Ryosuke Sakurai; Masahiro Motosuke
Journal:  Biomicrofluidics       Date:  2020-04-14       Impact factor: 2.800

  8 in total

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