استفاده از فناوری ماشین بینایی در ارزیابی ظاهری دونات پیش‏فرآیند شده توسط مایکروویو

نوع مقاله : مقاله پژوهشی

نویسندگان

• مهران نوری ¹
• بهزاد ناصحی ¹
• وحید سماواتی ¹
• سامان آبدانان مهدی زاده ²

¹ گروه مهندسی علوم و صنایع غذایی، دانشگاه کشاورزی و منابع طبیعی رامین خوزستان.

² گروه مهندسی مکانیک بیوسیستم، دانشگاه کشاورزی و منابع طبیعی رامین خوزستان

https://doi.org/10.22067/ifstrj.v1395i0.55526

چکیده

در این پژوهش از تکنیک‏های ماشین بینایی به‌منظور بررسی اثر پیش‏فرآیند مایکروویو بر ویژگی‏های ظاهری دونات استفاده شد. آزمایش‌ها بر اساس روش سطح پاسخ با یک طرح باکس-بنکن طراحی شد. متغیرهای مستقل شامل توان مایکروویو (900-300 وات)، مدت‌زمان پیش‏ فرآیند مایکروویو (90-30 ثانیه) و مدت‌زمان سرخ کردن (130-70 ثانیه) بود. همچنین متغیرهای وابسته شامل ویژگی‏های بافت سطحی، شاخص‏های رنگ پوسته، ویژگی‏های ساختار مغز و پذیرش مصرف ‏کننده بود. نتایج نشان داد افزایش سطح توان مایکروویو، مدت‌زمان پیش‏فرآیند مایکروویو و مدت‌زمان سرخ کردن سبب افزایش قابل‌توجه زبری سطح نمونه‏ ها شد. نتایج همچنین نشان داد اثرات مثبت خطی همه متغیرهای مستقل و اثر منفی درجه دوم توان مایکروویو بر ویژگی‏های ساختار مغز دونات معنی‏دار بود. در مورد رنگ نمونه ‏ها، نتایج نشان داد که شاخص‏های L*و a* سطح نمونه‏ ها با افزایش سطح مدت‏زمان سرخ کردن به‌ترتیب به‌طور قابل‌توجهی کاهش و افزایش یافتند. نتایج حاصل از پذیرش مصرف‏کننده حاکی از تأثیر قابل‌توجه مدت‌زمان سرخ کردن بر نمرات حسی بود. همچنین نتایج حاصل از آنالیز همبستگی نشان‌دهنده وجود ارتباط خطی قوی بین ویژگی‏های ظاهری و خصوصیات حسی دونات بود.

کلیدواژه‌ها

• ویژگی‏های ظاهری
• پذیرش مصرف‏کننده
• دونات
• ماشین بینایی
• پیش‏فرآیند مایکروویو

عنوان مقاله [English]

Application of machine vision technology for visual assessment of microwave pre-treated donut

نویسندگان [English]

• Mehran Nouri ¹
• Behzad Nasehi ¹
• Vahid Samavati ¹
• Saman Abdanan ²

¹ Department of Food Science and Technology, Ramin Agriculture and Natural Resources University, Ahvaz, Iran.

² Department of Mechanics of Biosystems Engineering, Ramin Agriculture and Natural Resources University, Ahvaz, Iran

چکیده [English]

Introduction: Fried foods such as donuts enjoyed worldwide for their taste, distinctive flavor, aroma and crunchy texture. There is, however, grave health concern over large fat content of fried foods (Melito and Farkas, 2013). There are several ways to lower fat content in deep-fried foods. One method is to reformulate the product by adding hydrophilic ingredients such as dietary fibers to reduce oil uptake during frying. Another method to reduce fat content is to partially cook the food using another heating method (Melito and Farkas, 2012). There is an increasing interest in microwaving foods for several reasons: it is faster than conventional methods, the energy consumption is often lower and foods cooked by microwaving maintain nutritional integrity.vIn foods, the appearance is a main criterion in making purchasing decisions. Appearance is used throughout the production –storage-marketing-utilization chain as the key means of judging the quality of individual units of product. The appearance of unities of products could be assessed by considering their color and surface texture. The use of computer-vision technology has quickly increased in the fields of quality inspection, classification and evaluation in processing a large number of food products (Brosnan and Sun, 2004). Therefore the aim of this study was to study the effects of microwave pre-treatment on sensory and appearance properties of donut.

Materials and methods: Response surface methodology and Box- Behnken design were applied to evaluate the effects of independent variable include microwave power (300-900 W), microwave time (30-90 s) and frying time (70-130 s) on sensory and appearance properties of donuts. Donuts were prepared according to the formulation by Melito and Farkas (2012) with some modifications. Ingredients used in donuts formulation were consisted of 100 g of wheat flour (9 g/100g), 52 g of water, 9.75 g of Shortening, 14 g of Egg, 14 g of water for yeast, 6.80 g of sugar, 6.80 g of nonfat dried milk powder, 3.25 g of active dried yeast, 1.70 g of Vanilla extract, 1.7 g of baking powder, 1.70 g of Salt, 1.3 g of Persian gum and 7.00 g of carrot pomace powder. The dough was cut into squares approximately 50 mm on each side. Then, the dough pieces were allowed to proof for 30 min at 27 ºC. The proofed samples were pre-treated using a microwave oven at different levels of microwave power and microwave time in accordance with the experimental design. Formerly, the per-treated donuts were deep-fat fried in a Moulinex deep-fat fryer (model F18-RA, France) filled with 1.5 L of vegetable frying oil (A mixture of Sunflower, palm, and soybean oil; Behshahr CO., Tehran, Iran) at different levels of frying time in accordance with the experimental design. The oil was preheated for 30 min prior to frying and replaced with fresh oil after every frying process. After frying, donuts were removed from the fryer and allowed to cool for 30 min on paper towels. They were then stored in coded sealed polyethylene bags.The evaluation of the crumb grain and crust color of donuts was performed using an image analysis system consisted of a Canon digital camera (model SX60 HS, Japan) and a personal computer with a Pentium(R) Dual-Core processor and Windows 7 Ultimate. The samples were photographed at a fixed distance of 30 cm from the crumb of samples, which were sitting inside a black box. The captured images were analyzed using the MATLAB R2014a software (The MathWorks Inc., Natick, Mass, USA).The CIE L*a*b* (or CIELAB) color model was used for determination of the crust color of donuts. Crumb grain features of the donut samples were obtained with described digital image analysis system. After imaging, each image was converted from RGB format to 8 bits (grey level) using the MATLAB software. In this format, an area of 3 × 3 cm2 was selected at the center of the captured image. After contrast enhancement of image, the image segmented using the Otsu algorithm, which produces highly uniform binary images (Otsu, 1979). Finally, crumb grain properties of donuts were studied by determination of cells densities and area of cells. Sensory evaluation of donut samples was carried out by assigning scores for crust appearance, crumb appearance, crust color, aroma, texture, taste and overall acceptance parameters based on a nine-point hedonic scale. (Stone et al., 2012).

Results and discussion: Results showed that roughness of the donuts surface increased significantly (p

کلیدواژه‌ها [English]

• Appearance properties
• Consumer acceptance
• Donut
• Machin vision
• Microwave pre-treatment

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