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صفحه اصلی
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هشتمین کنفرانس بین المللی کنترل ، ابزار دقیق و اتوماسیون
Texture Analysis of Corn-based Snacks with Fast Fourier Transform
نویسندگان :
José-David Martínez-Velasco
1
Annamaría Filomena-Ambrosio
2
Claudia L. Garzón-Castro
3
Julieta Domínguez-Soberanes
4
Paolo Visconti
5
Ramiro Velázquez
6
1- Universidad de la Sabana
2- Universidad de la Sabana
3- Universidad de la Sabana
4- Universidad Panamericana
5- Department of Innovation Engineering, University of Salento (Italy)
6- Universidad Panamericana
کلمات کلیدی :
Corn-based snacks, Fast Fourier Transform, food texture, sensory analysis, sound processing
چکیده :
This paper introduces a computer-based system devoted to process the sound that is produced when a corn- based food product is masticated. The system allows a simple and high-quality sound acquisition eliminating any interference caused by noise and other environmental artifacts. Its user interface displays the collected data in both time and frequency domains. Using the Fast Fourier Transform (FFT), some of the main characteristics related to food texture can be determined. The proposed implementation intends to be a simple yet effective tool that could complement sensory analysis in the food industry by assisting in determining the crunchiness of corn- based snacks, which is often a desirable attribute by consumers.
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