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Improving the efficiency and effectiveness of an industrial SARS-CoV-2 diagnostic facility.

Authors :
Douthwaite JA
Brown CA
Ferdinand JR
Sharma R
Elliott J
Taylor MA
Malintan NT
Duvoisin H
Hill T
Delpuech O
Orton AL
Pitt H
Kuenzi F
Fish S
Nicholls DJ
Cuthbert A
Richards I
Ratcliffe G
Upadhyay A
Marklew A
Hewitt C
Ross-Thriepland D
Brankin C
Chodorge M
Browne G
Mander PK
DeWildt RM
Weaver S
Smee PA
van Kempen J
Bartlett JG
Allen PM
Koppe EL
Ashby CA
Phipps JD
Mehta N
Brierley DJ
Tew DG
Leveridge MV
Baddeley SM
Goodfellow IG
Green C
Abell C
Neely A
Waddell I
Rees S
Maxwell PH
Pangalos MN
Howes R
Clark R
Source :
Scientific reports [Sci Rep] 2022 Feb 24; Vol. 12 (1), pp. 3114. Date of Electronic Publication: 2022 Feb 24.
Publication Year :
2022

Abstract

On 11th March 2020, the UK government announced plans for the scaling of COVID-19 testing, and on 27th March 2020 it was announced that a new alliance of private sector and academic collaborative laboratories were being created to generate the testing capacity required. The Cambridge COVID-19 Testing Centre (CCTC) was established during April 2020 through collaboration between AstraZeneca, GlaxoSmithKline, and the University of Cambridge, with Charles River Laboratories joining the collaboration at the end of July 2020. The CCTC lab operation focussed on the optimised use of automation, introduction of novel technologies and process modelling to enable a testing capacity of 22,000 tests per day. Here we describe the optimisation of the laboratory process through the continued exploitation of internal performance metrics, while introducing new technologies including the Heat Inactivation of clinical samples upon receipt into the laboratory and a Direct to PCR protocol that removed the requirement for the RNA extraction step. We anticipate that these methods will have value in driving continued efficiency and effectiveness within all large scale viral diagnostic testing laboratories.<br /> (© 2022. The Author(s).)

Details

Language :
English
ISSN :
2045-2322
Volume :
12
Issue :
1
Database :
MEDLINE
Journal :
Scientific reports
Publication Type :
Academic Journal
Accession number :
35210470
Full Text :
https://doi.org/10.1038/s41598-022-06873-6