techniques for carrying out a crossmatch or an
irregular antibody screening are either manual, with
blood reagents and samples being mixed in tubes or
being placed on gel columns before centrifuging (e.g.
Across Gel® Cross Match, from Dia Pro or ID-Card
50531 from Bio-Rad), or automated (e.g. the Qwalys
analysers from Diagast). The analysers require
additional time-consuming manual operations, (blood
centrifugation for example) which may increase the
risk of errors. Furthermore, they are oversized for
technical platforms or small size laboratories.
To mitigate these risks, some countries, including
France, have formalised a final ABO compatibility
check at the patient's bedside (ABO compatibility
charts from Bio-Rad, Diagast). This check requires
qualified and regularly trained staff, is limited to
ABO compatibility and cannot prevent certain human
errors in terms of allocation, realization or
interpretation.
During the work presented here, a market research
carried out by a specialist firm and companies with a
potential interest, found that the biochip technology
is of major interest. There is nothing similar in this
enormous market. This market research also showed
that the final control of just ABO compatibility on a
biochip would not currently be sufficient to penetrate
the world market because of practices in place in most
countries. The companies we approached strongly
advised increasing the added value of this biochip by
broadening its application to carry out crossmatch,
what we did. Given this international perspective, the
two initial patents we published (Pazart et al. 2001-1,
2011-2) were also broadened and recorded in Europe,
North America and in “BRIC” countries.
5 CONCLUSION
We have presented the proof of concept of a biochip
potentially able to perform a blood-to-blood
immunological compatibility test in a simple fluidic
environment. It relies on a single biochip onto which
red cells to be transfused are trapped. Subsequently,
patient’s whole blood is applied onto the biochip and
possibly present incompatible antibodies react with
the RCC. Eventually, fluorescent anti-IgGs
antibodies are used in order to allow rapid optical
detection.
Fluorescence spectroscopy experiments showed
that irregular antibodies can easily be detected. Here,
we used solutions of irregular antibodies. The next
steps will consist in multiplying the types of irregular
antibodies and to perform experiments with whole
blood obtained from donors. Potentially, a simple
photodiode based detection can be used. This would
allow using a compact device which can be used
either by trained or non trained medical staff.
However, the use of fluorescence spectroscopy in a
more complex set-up can probably lead to the
detection of weak but potentially dangerous
incompatibilities.
ACKNOWLEDGMENTS
This work is funded by the Etablissement Français du
Sang Bourgogne Franche-Comté, contract “X-ult”,
April 2015.
REFERENCES
ANSM. Rapport d’activité hémovigilance 2016. (2017)
http://ansm.sante.fr/Mediatheque/Publications/Bilans-
Rapports-d-activite-Bilans-et-rapports-d-
activite#folder_26762.
Charrière, K., et al., 2015, Biochip technology applied to an
automated ABO compatibility test at the patient
bedside, Sensors and Actuators B, Vol 208, pp. 67-74.
Charrière, K., et al., 2018, A biochip based medical device
for point-of-care ABO compatibility: towards a smart
transfusion line, In: Peixoto N., Silveira M., Ali H.,
Maciel C., van den Broek E. (eds) Biomedical
Engineering Systems and Technologies. BIOSTEC
2017. Communications in Computer and Information
Science, Vol 881, pp. 94-105, Springer, Cham.
Cid, J. et al. Comparison of three microtube column
agglutination systems for antibody screening: DG Gel,
DiaMed-ID and Ortho BioVue, Transfus. Med. Oxf.
Engl. 16, 131–136 (2006).
EFS. Rapport d’activité 2013. (2014).
http://www.dondusang.net/rewrite/article/6180/efs/pub
lications/feuilletez-en-ligne-le-rapport-d-activite-2013-
de-l-efs.htm?idRubrique=790.
Ferraz, A., et al., 2010, Automatic Determination of Human
Blood Types using Image Processing Techniques.
BIODEVICES 2010 - 3rd International Conference on
Biomedical Electronics and Devices, Proceedings pp.
69-74.
Houngkamhang, N. et al., 2013, ABO Blood-Typing Using
an Antibody Array Technique Based on Surface
Plasmon Resonance Imaging, Sensors Vol. 13, pp.
11913–11922.
Krupin, O., et al., 2014, Selective capture of human red
blood cells based on blood group using long-range
surface plasmon waveguides, Biosens. Bioelectron.
Vol. 53, pp. 117–122.
Langston, M. et al., 1999, Evaluation of the gel system for
ABO grouping and D typing, Transfusion (Paris) Vol.
39, pp. 300–305.