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Search results for: Pavle Jovanov

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Jovanov</h1> <div class="card publication-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1</span> Gluten-Free Cookies Enriched with Blueberry Pomace: Optimization of Baking Process</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/search?q=Aleksandra%20Mi%C5%A1an">Aleksandra Mi拧an</a>, <a href="https://publications.waset.org/search?q=Bojana%20%C5%A0ari%C4%87"> Bojana 艩ari膰</a>, <a href="https://publications.waset.org/search?q=Nata%C5%A1a%20Nedeljkovi%C4%87"> Nata拧a Nedeljkovi膰</a>, <a href="https://publications.waset.org/search?q=Mladenka%20Pestori%C4%87"> Mladenka Pestori膰</a>, <a href="https://publications.waset.org/search?q=Pavle%20Jovanov"> Pavle Jovanov</a>, <a href="https://publications.waset.org/search?q=Milica%20Poji%C4%87"> Milica Poji膰</a>, <a href="https://publications.waset.org/search?q=Jelena%20Tomi%C4%87"> Jelena Tomi膰</a>, <a href="https://publications.waset.org/search?q=Bojana%20Filip%C4%8Dev"> Bojana Filip膷ev</a>, <a href="https://publications.waset.org/search?q=Miroslav%20Hadna%C4%91ev"> Miroslav Hadna膽ev</a>, <a href="https://publications.waset.org/search?q=Anamarija%20Mandi%C4%87"> Anamarija Mandi膰 </a> </p> <p class="card-text"><strong>Abstract:</strong></p> <p>With the aim of improving nutritional profile and antioxidant capacity of gluten-free cookies, blueberry pomace, by-product of juice production, was processed into a new food ingredient by drying and grinding and used for a gluten-free cookie formulation. Since the quality of a baked product is highly influenced by the baking conditions, the objective of this work was to optimize the baking time and thickness of dough pieces, by applying Response Surface Methodology (RSM) in order to obtain the best technological quality of the cookies. The experiments were carried out according to a Central Composite Design (CCD) by selecting the dough thickness and baking time as independent variables, while hardness, color parameters (L*, a* and b* values), water activity, diameter and short/long ratio were response variables. According to the results of RSM analysis, the baking time of 13.74min and dough thickness of 4.08mm was found to be the optimal for the baking temperature of 170&deg;C. As similar optimal parameters were obtained by previously conducted experiment based on sensory analysis, response surface methodology (RSM) can be considered as a suitable approach to optimize the baking process.</p> <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/search?q=Baking%20process" title="Baking process">Baking process</a>, <a href="https://publications.waset.org/search?q=blueberry%20pomace" title=" blueberry pomace"> blueberry pomace</a>, <a href="https://publications.waset.org/search?q=gluten-free%20cookies" title=" gluten-free cookies"> gluten-free cookies</a>, <a href="https://publications.waset.org/search?q=Response%20Surface%20Methodology." title=" Response Surface Methodology."> Response Surface Methodology.</a> </p> <a href="https://publications.waset.org/9997967/gluten-free-cookies-enriched-with-blueberry-pomace-optimization-of-baking-process" class="btn btn-primary btn-sm">Procedia</a> <a 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