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| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Zick, A | - |
| dc.contributor.author | Schmidt Rivera, X | - |
| dc.contributor.author | Reynolds, C | - |
| dc.date.accessioned | 2026-01-12T17:39:41Z | - |
| dc.date.available | 2026-01-12T17:39:41Z | - |
| dc.date.issued | 2026-01-12 | - |
| dc.identifier | ORCiD: Andrea Zick https://orcid.org/0000-0002-7884-6685 | - |
| dc.identifier | ORCiD: Ximena Schmidt Rivera https://orcid.org/0000-0003-0157-2679 | - |
| dc.identifier | ORCiD: Christian Reynolds https://orcid.org/0000-0002-1073-7394 | - |
| dc.identifier | Article number: 100010 | - |
| dc.identifier.citation | Zick, A., Schmidt Rivera, X. and Reynolds, C. (2026) 'Assessing Food Procurement Greenhouse Gas Emissions And Food Waste In UK Fine Dining', Cleaner Food Systems, 2026, 0 (in press, pre-proof), 100010, pp. 1 - 42. doi: 10.1016/j.clfs.2025.100010. | en_US |
| dc.identifier.uri | https://bura.brunel.ac.uk/handle/2438/32633 | - |
| dc.description | Data availability: Data will be made available on request. | en_US |
| dc.description | This is a PDF of an article that has undergone enhancements after acceptance, such as the addition of a cover page and metadata, and formatting for readability. This version will undergo additional copyediting, typesetting and review before it is published in its final form. As such, this version is no longer the Accepted Manuscript, but it is not yet the definitive Version of Record; we are providing this early version to give early visibility of the article. Please note that Elsevier’s sharing policy for the Published Journal Article applies to this version, see: https://www.elsevier.com/about/policies-andstandards/sharing#4-published-journal-article . Please also note that, during the production process, errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain. | - |
| dc.description | Declaration Of Generative Ai And Ai-Assisted Technologies In The Writing Process: During the preparation of this work, the author(s) used Grammarly Pro in order to improve the grammar and spelling of this paper. After using this tool/service, the author(s) reviewed and edited the content as needed and took full responsibility for the content of the published article. | - |
| dc.description.abstract | This research examines greenhouse gas emissions (GHGE) associated with food procurement and food waste in a UK fine dining restaurant. A comprehensive food procurement greenhouse gas emissions baseline was established, emission hotspots were identified, and food waste reduction targets previously set by the restaurant were verified. A total of 6,282 individual food purchases were reviewed. Due to repeat purchases, 941 distinct food and drink commodities were matched with 920 emissions factors from the WRAP Emission Factor Database v2.0, enabling a volume-based greenhouse gas emissions assessment. The analysis revealed seasonal variations and GHGE hotspots, providing a benchmark for similar catering operations. A Monte Carlo simulation was performed by randomising the emissions factors allocated to assess the sensitivity of the assessment. Despite the possible variation of emissions factors, the average GHGE per guest was found to be 5.87 kg CO2 eq. per guest (). A dietary gap analysis found the associated GHGE exceed the range for GHGE per day/person of the Eatwell Guide recommended by the British Dietetic Association as a healthy, sustainable diet. The analysis also shows that GHGE associated with food waste represents the fourth-largest contributor. Establishing a baseline for GHGE of food waste and procurement supports measurable goal setting, intervention identification, and progress tracking towards emission reduction targets. The findings equip the business to design targeted and evidence-based interventions. | en_US |
| dc.description.sponsorship | The research was funded by XXX. [AL-J, AZ, CR, XSR are funded by the UK Food Systems Centre for Doctoral Training (The Partnership for Sustainable Food Future Centre for Doctoral Training (PSFF-CDT); Project Reference: BB/V011391/1.] | en_US |
| dc.format.extent | 1 - 42 | - |
| dc.format.medium | Electronic | - |
| dc.language | Engish | - |
| dc.language.iso | en | en_US |
| dc.publisher | Elsevier | en_US |
| dc.rights | Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International | - |
| dc.rights.uri | https://creativecommons.org/licenses/by-nc-nd/4.0/ | - |
| dc.subject | supply chain management | en_US |
| dc.subject | procurement management | en_US |
| dc.subject | menu engineering | en_US |
| dc.subject | GHG emission reporting | en_US |
| dc.subject | sustainable hospitality | en_US |
| dc.subject | Hospitality and Food Service (HaFS) | en_US |
| dc.title | Assessing Food Procurement Greenhouse Gas Emissions And Food Waste In UK Fine Dining | en_US |
| dc.type | Article | en_US |
| dc.date.dateAccepted | 2025-12-23 | - |
| dc.identifier.doi | https://doi.org/10.1016/j.clfs.2025.100010 | - |
| dc.relation.isPartOf | Cleaner Food Systems | - |
| pubs.issue | in press, pre-proof | - |
| pubs.publication-status | Published online | - |
| pubs.volume | 0 | - |
| dc.identifier.eissn | 3050-8355 | - |
| dc.rights.license | https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode.en | - |
| dcterms.dateAccepted | 2025-12-23 | - |
| dc.rights.holder | The Author(s) | - |
| dc.contributor.orcid | Andrea Zick [0000-0002-7884-6685] | - |
| dc.contributor.orcid | Ximena Schmidt Rivera [0000-0003-0157-2679] | - |
| dc.contributor.orcid | Christian Reynolds [0000-0002-1073-7394] | - |
| Appears in Collections: | Dept of Chemical Engineering Research Papers | |
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| File | Description | Size | Format | |
|---|---|---|---|---|
| FullText.pdf | Copyright © 2025 The Author(s). Published by Elsevier Ltd. This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (https://creativecommons.org/licenses/by-nc-nd/4.0/). | 1.83 MB | Adobe PDF | View/Open |
This item is licensed under a Creative Commons License