<?xml version="1.0" encoding="UTF-8"?><ns2:project xmlns:ns1="http://gtr.rcuk.ac.uk/gtr/api" xmlns:ns2="http://gtr.rcuk.ac.uk/gtr/api/project" xmlns:ns3="http://gtr.rcuk.ac.uk/gtr/api/fund" xmlns:ns4="http://gtr.rcuk.ac.uk/gtr/api/person" xmlns:ns5="http://gtr.rcuk.ac.uk/gtr/api/project/outcome" xmlns:ns6="http://gtr.rcuk.ac.uk/gtr/api/organisation" ns1:created="2026-08-26T13:36:10Z" ns1:href="http://gtr.ukri.org/gtr/api/projects/06C5460A-5142-439C-B311-3F68870A4C6F" ns1:id="06C5460A-5142-439C-B311-3F68870A4C6F"><ns1:links><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/persons/FEBD57DF-9787-44B5-BCEE-87DBF71C4415" ns1:rel="PM_PER"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/6AD3147C-25BB-44F3-8788-395239A296AC" ns1:rel="LEAD_ORG"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/6AD3147C-25BB-44F3-8788-395239A296AC" ns1:rel="PARTICIPANT_ORG"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/3463F1C8-8260-4D39-B237-B4267DFF2DE8" ns1:rel="PARTICIPANT_ORG"/><ns1:link ns1:end="2019-01-31T00:00:00Z" ns1:href="http://gtr.ukri.org/gtr/api/funds/513E50B7-A181-4A72-A69C-4BCC8D4BD307" ns1:rel="FUND" ns1:start="2018-01-01T00:00:00Z"/></ns1:links><ns2:identifiers><ns2:identifier ns2:type="RCUK">133316</ns2:identifier></ns2:identifiers><ns2:title>Enhanced food contaminant detection system incorporating a novel multi-spectral X-ray imaging technology</ns2:title><ns2:status>Closed</ns2:status><ns2:grantCategory>Feasibility Studies</ns2:grantCategory><ns2:leadFunder>Innovate UK</ns2:leadFunder><ns2:abstractText>&amp;quot;The project aims to demonstrate a production-compatible X-ray food inspection system capable of reliably detecting both plastic contaminants during the manufacture of chocolate confectionary products, and bone fragments in the meat processing industry.

The project will combine a novel multi-spectral X-ray imaging technology from IBEX Innovations Limited (IBEX), with innovations in detector and production inspection technologies from Mettler-Toledo Safeline Limited (MTSL). Successful adoption of the resulting product is expected to lead to increased detection of impurities in the food processing industry, leading to increased consumer safety and a reduction in expensive product recalls.&amp;quot;</ns2:abstractText></ns2:project>