Unlabelled: Knowledge is scarce on the drivers of textural characteristics of cooked dough prepared from gari (). To address this need, quality attributes of backslopped fermented gari (BFG) were correlated with the sensory texture profile analysis (STPA) and instrumental texture profile analysis (ITPA) of the eba produced from six cassava varieties. The results showed that a significant and negative correlation exists between the STPA mouldability of the eba and the sugar ( < .05, = -0.83) and amylose ( < .05, = -0.86) contents of the BFG. The STPA stretchability of the eba had a significant negative correlation with the bulk density ( < .05, = -0.83) and a significant positive correlation with the setback viscosity ( < .01, = 0.92) of the BFG. A significant and negative correlation exists between the STPA stickiness of the eba and the amylose ( < .05, = -0.84) contents of the BFG. The ITPA adhesiveness of the eba was significant and negatively correlated with the solubility index ( < .05, = -0.89) and the ash content ( < .05, = -0.87) of the BFG. The correlation between the ITPA stretchability of the eba and the peak ( < .05, = 0.83) and breakdown ( < .05, = 0.88) viscosities of the BFG was significant and positive, while a significant negative correlation ( < .05, = -0.83) exist between the ITPA stretchability of the eba and the starch content of the BFG. The information provided in this study may assist the breeders in developing varieties with good textural attributes for eba.
Practical Applications: This study depicts the relationship between the quality attributes of backslopped fermented gari (BFG) and the sensory and instrumental texture profile of the cooked dough (eba). Both the sensory and the instrumental texture attributes of the eba have correlation with the quality attributes of the BFG. Apart from providing information on the drivers of the textural characteristics of eba, this study may also assist the breeders in developing varieties with good textural attributes for eba.
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http://dx.doi.org/10.1111/jfpp.16115 | DOI Listing |
Food Chem
December 2024
SKL of Marine Food Processing & Safety Control, National Engineering Research Center of Seafood, Collaborative Innovation Center of Seafood Deep Processing, School of Food Science and Technology, Dalian Polytechnic University, Dalian 116034, China. Electronic address:
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December 2024
Key Laboratory of Dairy Biotechnology and Engineering, Ministry of Education, Inner Mongolia Agricultural University, Hohhot, PR China; Key Laboratory of Dairy Products Processing, Ministry of Agriculture and Rural Affairs, Inner Mongolia Agricultural University, Hohhot, PR China; Inner Mongolia Key Laboratory of Dairy Biotechnology and Engineering, Inner Mongolia Agricultural University, Hohhot, PR China; Collaborative Innovative Center for Lactic Acid Bacteria and Fermented Dairy Products, Ministry of Education, Inner Mongolia Agricultural University, Hohhot, PR China. Electronic address:
Cheese-associated microbiota and their interactions are crucial in determining the properties of cheese. This study aimed to compare the effects of different starter cultures on Cheddar cheese production using texture analysis, electronic sensory evaluation, and both volatile and non-volatile metabolomics. Specifically, we examined Lactococcus lactis BL19 and Lactococcus cremoris LC99, both individually and in combination.
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Department of Food Engineering, Engineering Faculty, Inonu University, Malatya, Türkiye. Electronic address:
Acidic marinades are commonly used to improve the quality meat products. However, no study has been performed to determine the effects of rhubarb juice as a marinating liquid on the quality parameters of chicken breast fillets. The aim of the present study was to identify the bioactive compounds (organic acids, polyphenols, and volatiles) in the juice of rhubarb and to determine the effect of rhubarb juice as a marinade on the microbiological (total viable count, psychrotrophs, lactic acid bacteria, sulfate-reducing anaerobes, and yeast-molds) and physico-chemical properties (drip loss, cooking loss, water holding capacity, pH, color, malondialdehyde, total volatile base nitrogen, and texture profiles), sensory attributes, and microbial safety (Escherichia coli O157:H7, Salmonella Typhimurium, and Listeria monocytogenes) of chicken breast fillets during a 15-day refrigerated storage.
View Article and Find Full Text PDFFood Chem
December 2024
Department of Animal Science, Food and Nutrition, Università Cattolica del Sacro Cuore, Via Emilia Parmense 84, 29122 Piacenza, Italy.
In this study, an integrated approach combining UHPLC-HRMS, H NMR spectroscopy, and sensory analysis unveiled the unique lipid fingerprint of long-ripened Protected Designation of Origin (PDO) Coppa Piacentina. Lipidomic profiling revealed significant alterations in lipid classes, including triacylglycerols, sphingolipids, and their oxidation products, which likely contribute to the distinctive flavor, texture, and nutritional properties of this traditional Italian product. UHPLC-HRMS analysis identified various lipid species, highlighting dynamic changes occurring throughout the 240-day ripening process.
View Article and Find Full Text PDFGels
December 2024
Food and Nutritional Sciences Program, North Carolina A&T State University, Greensboro, NC 27411, USA.
Oleogels developed through the direct-dispersion method offer an innovative, scalable, and efficient alternative to traditional fats in sausage production, providing a solution to health concerns associated with the high saturated fat content of conventional formulations. By closely mimicking the texture, stability, and mouthfeel of animal fats, these oleogels provide a novel approach to improving the nutritional profile of sausages while maintaining desirable sensory characteristics. This review critically evaluates cutting-edge research on oleogels, emphasizing innovations in their ability to enhance emulsion stability, increase cooking yield, reduce processing weight loss, and optimize fatty acid composition by reducing overall fat and saturated fat levels.
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