Awarded contract

Published

ID 5596417 - DoJ - FSNI - Supply, delivery, installation and support of a Benchtop X-Ray Diffraction System

6 suppliers have saved this notice.

Looks like a fit? Save this tender and qualify it in Stotles

Value

165,906.29 GBP

Current supplier

Information withheld for security reasons

Description

FSNI wish to establish a contract for the supply, installation and maintenance of a new Benchtop X-ray Diffraction System for the identification of explosive samples, their precursors and unknowns, as well as for use in drug analysis. Lot 1: FSNI wish to establish a contract for the supply, installation and maintenance of a new Benchtop X-ray Diffraction System for the identification of explosive samples, their precursors and unknowns, as well as for use in drug analysis.

Unlock decision maker contacts.

Never miss a tender again

Get alerts, AI summaries and tools to qualify faster

Explore similar pre-tenders, open or awarded contracts

Browse open tenders, recent contract awards and upcoming contract expiries that match similar CPV codes.

University of Worcester

9,197 GBP

Published a day ago

University of Edinburgh

340,058 GBP

Published a day ago

University of Edinburgh

340,058 GBP

Published a day ago

University of Worcester

38,336.58 GBP

Published a day ago

University of Edinburgh

93,310 GBP

Published a day ago

Awarded

X-ray source

University of Edinburgh

144,816 GBP

Published a day ago

Animal and Plant Health Agency (APHA)

12,461.62 GBP

Published 3 days ago

University of Worcester

16,926.34 GBP

Published 8 days ago

Animal and Plant Health Agency (APHA)

20,434.66 GBP

Published 10 days ago

Explore top buyers for public sector contracts

Discover open tenders, contract awards and upcoming contract expiries of thousands of public sector buyers below. Gain insights into their procurement activity, historical purchasing trends and more.

Explore over 15,000 buyers

Sign up to the Stotles Tender Tracker for free

Find even more contracts with advanced search capability and AI powered relevance scoring.