Proximate composition analysis of chicken burgers from night market stalls and selected fast-food restaurants

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Abstract

This study was aimed to determine and compare the proximate composition of chicken burgers from night market stalls and selected fast-food restaurants. The methods used for determination of proximate composition were AOAC Official Methods 973.48, 960.39, 991.43, 990.19 and 999.11 for protein, fat, fibre, moisture and ash, respectively except total available carbohydrate. The energy content of all samples was calculated based on 4, 4 and 9 kcal/100 g for carbohydrate, protein and fat, respectively. The protein content of burger samples from fast-food restaurant ranged 14.48-18.6%, whereas the samples from night market stalls had protein content ranged 13.26%-19%. Fat contents of burger samples from fast-food restaurant and night market stalls were 18.57-19.11% and 26.33-28.0%, respectively. There were statistically significant differences (p<0.05) in the percentage of insoluble dietary fibre, but no significant differences were found for soluble and total dietary fibres in the burger samples between night market stalls and the restaurants. Night-stall burger samples had higher fibre content (0.14-0.20%) than the fast-food restaurant samples which ranged 0.11-0.16%. Burger samples from the fast-food restaurant had higher carbohydrate content ranged between 17.77% and 18.55% compared to night stall samples (7.70-8.94%). Also, the energy content of all burger samples ranged 296–360 kcal. There were significant differences for the protein, fat, carbohydrate, energy and ash content of the burger samples between night market stalls and fast-food restaurants but not for moisture and fibre content. The findings indicated that the nutritional composition of burger samples varied among different locations where a variation in preparation method was observed.

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APA

Unzil, N. A., Azlan, A., & Sultana, S. (2021). Proximate composition analysis of chicken burgers from night market stalls and selected fast-food restaurants. Food Research, 5(1), 471–477. https://doi.org/10.26656/fr.2017.5(1).469

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