Research output per year
Research output per year
Project Details
Description
The aim of this research is to identify the points of vulnerability within the supply chain to food crimes in order to allow regulators and retailers to take appropriate action to avoid food adulteration.
The project brings together an interdisciplinary team of researchers from analytical sciences, predictive modelling, law, and criminology and business studies. Food fraud is not just a contemporary phenomenon and the deliberate adulteration of food products has a long history and with recent events throughout Europe, it is an ongoing problem.
The research will explore how the criminal opportunities within the supply chain are exploited. A model of supply chain dynamics will be developed to provide a greater understanding of the locations and opportunities for adulteration within the length of the supply chain.
The project brings together an interdisciplinary team of researchers from analytical sciences, predictive modelling, law, and criminology and business studies. Food fraud is not just a contemporary phenomenon and the deliberate adulteration of food products has a long history and with recent events throughout Europe, it is an ongoing problem.
The research will explore how the criminal opportunities within the supply chain are exploited. A model of supply chain dynamics will be developed to provide a greater understanding of the locations and opportunities for adulteration within the length of the supply chain.
| Short title | R:HWZ HWZ ESRC Spencer J |
|---|---|
| Status | Finished |
| Effective start/end date | 1/10/14 → 25/11/16 |
UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This project contributes towards the following SDG(s):
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Research output
- 10 Article
-
Detection of the adulteration of fresh coconut water via NMR spectroscopy and chemometrics
Richardson, P. I. C., Muhamadali, H., Lei, Y., Golovanov, A. P., Ellis, D. I. & Goodacre, R., Feb 2019, In: Analyst. 144, 4, p. 1401-1408 8 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile63 Downloads (Pure) -
Rapid through-container detection of fake spirits and methanol quantification with handheld Raman spectroscopy
Ellis, D. I., Muhamadali, H., Xu, Y., Eccles, R., Goodall, I. & Goodacre, R., 7 Jan 2019, In: Analyst. 144, 1, p. 324-330Research output: Contribution to journal › Article › peer-review
File116 Downloads (Pure) -
Rapid quantification of the adulteration of fresh coconut water by dilution and sugars using Raman spectroscopy and chemometrics
Richardson, P. I. C., Muhamadali, H., Ellis, D. I. & Goodacre, R., 2018, In: Food Chemistry.Research output: Contribution to journal › Article › peer-review
Open AccessFile43 Downloads (Pure)