An efficient and reliable chemical inventory system at a growing drug discovery company.

Centralized chemical inventory management KISS (Keep it simple and straightforward) system ScanStation

Journal

SLAS technology
ISSN: 2472-6311
Titre abrégé: SLAS Technol
Pays: United States
ID NLM: 101697564

Informations de publication

Date de publication:
06 2022
Historique:
pubmed: 22 1 2022
medline: 10 6 2022
entrez: 21 1 2022
Statut: ppublish

Résumé

Within a growing drug discovery company, hundreds of scientists take and move reagent chemicals on a daily basis. Conveniently updating the locations of tens of thousands of chemical containers in an electronic system is a big challenge. We have an electronic inventory system, but keeping the chemical records up to date relied on scientists finding an available computer in the lab and logging into a system whenever they took or moved a chemical container, taking several minutes. It was all too easy to think that the task could be deferred until later, but the scientist may then forget all about it, leaving the database inaccurate. As a result, searching for the chemicals we need can take a frustratingly long time if they are not where they should be. We have developed an efficient and reliable system, namely ScanStation, to solve this issue. It relies on a low-cost Raspberry Pi attached to a touch screen connected with a barcode scanner. This equipment is always on and placed in strategic locations around all our labs and chemical stores. This new process is much easier. There is no need to remove gloves to log into the computer, and it is just a scan on the barcode and is done. Now when we check the database for a chemical, we get an instant answer that reliably tells us where to find it. All the time we save have a real benefit in our productivity and our scientists can focus on discovering new medicines.

Identifiants

pubmed: 35058210
pii: S2472-6303(21)00021-2
doi: 10.1016/j.slast.2021.11.002
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

204-208

Informations de copyright

Copyright © 2021 The Author(s). Published by Elsevier Inc. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest The authors declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Auteurs

Ting Qin (T)

Sygnature Discovery Ltd., BioCity, Pennyfoot Street, Nottingham, United Kingdom. Electronic address: t.qin@sygnaturediscovery.com.

Milosz Grabski (M)

Sygnature Discovery Ltd., BioCity, Pennyfoot Street, Nottingham, United Kingdom.

Daniel Fitzpatrick (D)

Antipodes Scientific Ltd., 41 College Ride, Bagshot, United Kingdom.

James Salsbury (J)

Sygnature Discovery Ltd., BioCity, Pennyfoot Street, Nottingham, United Kingdom.

Tracey Allford (T)

Sygnature Discovery Ltd., BioCity, Pennyfoot Street, Nottingham, United Kingdom.

Jeremy Pole (J)

Sygnature Discovery Ltd., BioCity, Pennyfoot Street, Nottingham, United Kingdom.

Andrew Novak (A)

Sygnature Discovery Ltd., BioCity, Pennyfoot Street, Nottingham, United Kingdom.

Jason Shiers (J)

Sygnature Discovery Ltd., BioCity, Pennyfoot Street, Nottingham, United Kingdom.

Colin Sambrook Smith (CS)

Sygnature Discovery Ltd., BioCity, Pennyfoot Street, Nottingham, United Kingdom.

Articles similaires

Humans Chondrocytes Osteoarthritis Matrix Metalloproteinase 13 Drug Discovery
Neural Networks, Computer Drug Discovery Humans Drug Repositioning
Drug Design Models, Chemical Endopeptidase Clp Drug Discovery Humans
Proteins Drug Discovery Computational Biology

Classifications MeSH