استفاده از روش تحلیل سلسله مراتبی (AHP) فازی و تاپسیس (TOPSIS) در بهینه‌یابی فرمولاسیون مواد غذایی: مورد مطالعاتی نان

نوع مقاله : مقاله پژوهشی لاتین

نویسندگان

• محمد نوشاد ¹
• عباس میرزایی ²
• سحر اصغری پور ³

¹ گروه علوم و مهندسی صنایع غذایی، دانشکده علوم دامی و صنایع غذایی، دانشگاه علوم کشاورزی و منابع طبیعی خوزستان، ملاثانی، ایران

² گروه اقتصاد کشاورزی، دانشگاه علوم کشاورزی و منابع طبیعی خوزستان، ملاثانی، ایران.

³ گروه علوم و مهندسی صنایع غذایی، دانشگاه علوم کشاورزی و منابع طبیعی خوزستان، ملاثانی، ایران.

https://doi.org/10.22067/ifstrj.v16i6.85794

چکیده

در این پژوهش، اثر افزودن آرد کینوا اصلاح‌شده (QM) بر ویژگی‌های فیزیکوشیمیایی نان باگت بدون گلوتن موردارزیابی قرار گرفت. همچنین برای انتخاب بهترین فرمولاسیون نان باگت بدون گلوتن از روش تحلیل سلسله مراتبی فازی (FAHP) و TOPSIS استفاده شد. برای این منظور از دو معیار، ویژگی‌های فیزیکی (با زیرمعیارهای بافت، طعم، بو، رنگ و تخلخل) و ویژگی‌های شیمیایی (با زیرمعیارهای محتوی رطوبتی، خاکستر و مقدار مواد معدنی، مقدار فیبر و خواص آنتی‌اکسیدانی) برای ارزیابی بهترین فرمولاسیون نان باگت بدون گلوتن استفاده شد. بر اساس نتایج به‌دست آمده، با افزایش مقدار QM از صفر تا 15 درصد، مقدار رطوبت، سفتی، فعالیت آنتی‌اکسیدانی، شاخص رنگی a*، مقادیر آهن و کلسیم در نان افزایش یافت، درحالی‌که با افزایش مقدار QM، مقادیر شاخص‌های رنگی b* و L* نمونه‌ها کاهش یافت. نتایج روش FAHP-TOPSIS نشان داد، ویژگی‌های شیمیایی نسبت به ویژگی‌های فیزیکی از اهمیت نسبی بالاتری برخودار بودند و بالاترین درجه اهمیت برای ارزیابی کیفیت نان مربوط به محتوای فیبر و میزان فعالیت آنتی‌اکسیدانی، به‌ترتیب با وزن نهایی 271/0 و 239/0 بود. همچنین بر اساس نتایج به‌دست آمده، نان باگت بدون گلوتن حاوی 10 درصد آرد کینوا اصلاح‌شده با شاخص 871/0 به‌عنوان بهترین فرمولاسیون انتخاب شد.

کلیدواژه‌ها

• کینوا اصلاح‌شده
• نان
• روش FAHP-TOPSIS
• ویژگی‌های فیزیکوشیمیایی

عنوان مقاله [English]

An integrated Fuzzy AHP-TOPSIS approach toward optimization of food formulation: case study bread

نویسندگان [English]

• Mohammad Noshad ¹
• Abbas Mirzaei ²
• Sahar Asgharipour ³

¹ Department of Food Science and Technology, Faculty of Animal Science and Food Technology, Agricultural Sciences and Natural Resources University of Khuzestan, Mollasani, Iran.

² Department of Agricultural Economics, Agricultural Sciences and Natural Resources University of Khuzestan, Mollasani, Iran.

³ Department of Food Science & Technology, Agricultural Sciences and Natural Resources University of Khuzestan, Mollasani, Iran.

چکیده [English]

In this study, the fuzzy hierarchical analysis (FAHP) and TOPSIS methods was used to select the best formulations of gluten-free baguette contain modified quinoa flour (QM). For this purpose, two criteria, namely physical and chemical properties (with sub-criteria of texture, taste, flavor, color, porosity, moisture, ash and mineral content, fiber content and antioxidant activity) were used to evaluate the best formulation of gluten-free of baguette. Incorporating QM from 0 to 15% increased moisture content, fiber content, hardness, antioxidant activity, a* value, Fe+2 and Ca+2 content and decreased L* and b* values. Results of FAHP-TOPSIS method showed the chemical properties have a relatively higher importance compared to the physical properties of the product and the highest importance degree of product quality evaluation is for fiber content and antioxidant activity with a final weight of 0.271 and 0.239, respectively. Also, from the experts’ point of view and based on the sub-criteria, baguette containing 10% QM with a proximity index of 0.871 was selected as the best formulation.

کلیدواژه‌ها [English]

• Modified quinoa
• Bread
• FAHP-TOPSIS
• Physicochemical properties

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