Quality of protein declaration on prepackaged food products modelled in fuzzy logic
| dc.contributor.author | Ansong, Monipel Owusua | |
| dc.contributor.author | ||
| dc.date.accessioned | 2021-06-25T15:56:44Z | |
| dc.date.accessioned | 2023-04-19T04:02:12Z | |
| dc.date.available | 2021-06-25T15:56:44Z | |
| dc.date.available | 2023-04-19T04:02:12Z | |
| dc.date.issued | JUNE 2019 | |
| dc.description | A thesis submitted to the Department of Food Science and Technology, Kwame Nkrumah University of Science and Technology in partial fulfillment of the requirement to the award of Msc. Degree in Food Quality Management | en_US |
| dc.description.abstract | Food labelling laws aim to protect consumers from deception. This study was to determine the accuracy of food protein labelling in prepackaged food products on the Ghanaian market and to identify the need for the establishment of a national tolerance criterion. Twenty-six (26) food products from Accra and Kumasi were grouped into Dairy, Cereals, Fish, Peas and Confectionery products. Their protein contents were determined using Kjeldahl with 5.7 Jones factor for Cereals and 6.25 for other samples. Fuzzy logic and modelling (MATLAB toolbox) was used to analyze the two input variables (product category and net weight) of the products and their output variable (Confidence quotient). The term confidence quotient, which was used to describe the degree of accuracy, was defined in the study as the difference between the declared and the mean laboratory analyzed protein values. The accuracy of the declared protein was considered “low” or “high” according to the confidence interval; 90%, 95%, and 99%, used and the principal protein tolerance acceptance criterion (≥80%). The results from the distribution and fuzzy model demonstrated significant variations at which most protein contents were misrepresented in the products. It was revealed that the categories and net weight of the products appeared to have contributed to this variation. The results offer a prediction tool to understand the likelihood of inaccuracy of declared nutrient contents on prepackaged food products using protein as a test factor in establishing a national tolerance criterion. | en_US |
| dc.description.sponsorship | KNUST | en_US |
| dc.identifier.uri | https://ir.knust.edu.gh/handle/123456789/14150 | |
| dc.language.iso | en_US | en_US |
| dc.subject | Prepackaged food products | en_US |
| dc.subject | Market | en_US |
| dc.title | Quality of protein declaration on prepackaged food products modelled in fuzzy logic | en_US |
| dc.type | Thesis | en_US |
Files
Original bundle
1 - 1 of 1
Loading...
- Name:
- Monipel Owusua Ansong_MSc.pdf
- Size:
- 1.43 MB
- Format:
- Adobe Portable Document Format
- Description:
- Full Thesis