Evaluation and prediction of mechanical properties of potato during storage by laser light backscattering imaging
Message:
Article Type:
Research/Original Article (دارای رتبه معتبر)
Abstract:
In this research, changes in potato texture during storage were evaluated by laser light backscattering imaging method and using physical and mathematical models according to the results of mechanical destructive tests. Using the characteristics of the images, we tried to develop models for predicting the mechanical properties of potatoes. At first, the backscattering images were taken from 594 potatoes. Backscattering profiles were obtained for each sample. Then, cylindrical samples were extracted from potatoes and subjected to uniaxial compression test. By fitting the first order Gaussian model to the obtained data from the final image and calculating the frequency of repetition of different intensities in the images, the parameters related to the absorption and scattering of reflected light from the tissue of the tubers were obtained at three wavelengths of 650 nm, 780 nm and 980 nm and in six months of the cold storage. The behavior comparison of the mechanical test results and the changes in the Gaussian model fitting estimated parameters and the intensity frequencies during storage showed the effect of mechanical structure changes on the optical properties of the samples. Finally, five models with satisfactory results were obtained to predict the tangent modulus of elasticity (R=0.827, 0.815), secant modulus of elasticity (R=0.808), toughness (R=0.874) and maximum fracture force (R=0.811) with the fuzzy-neural inference system. The results in this study could mainly useful for understanding the effect of tissue changes during storage on light scattering and absorption. It can be useful to design high-performance sensors and quality determination systems for non-destructive mechanical properties evaluation of potato tubers.
Language:
Persian
Published:
Food Science and Technology, Volume:15 Issue: 10, 2018
Pages:
237 to 250
magiran.com/p1903835  
دانلود و مطالعه متن این مقاله با یکی از روشهای زیر امکان پذیر است:
اشتراک شخصی
با عضویت و پرداخت آنلاین حق اشتراک یک‌ساله به مبلغ 990,000ريال می‌توانید 70 عنوان مطلب دانلود کنید!
اشتراک سازمانی
به کتابخانه دانشگاه یا محل کار خود پیشنهاد کنید تا اشتراک سازمانی این پایگاه را برای دسترسی نامحدود همه کاربران به متن مطالب تهیه نمایند!
توجه!
  • حق عضویت دریافتی صرف حمایت از نشریات عضو و نگهداری، تکمیل و توسعه مگیران می‌شود.
  • پرداخت حق اشتراک و دانلود مقالات اجازه بازنشر آن در سایر رسانه‌های چاپی و دیجیتال را به کاربر نمی‌دهد.
دسترسی سراسری کاربران دانشگاه پیام نور!
اعضای هیئت علمی و دانشجویان دانشگاه پیام نور در سراسر کشور، در صورت ثبت نام با ایمیل دانشگاهی، تا پایان فروردین ماه 1403 به مقالات سایت دسترسی خواهند داشت!
In order to view content subscription is required

Personal subscription
Subscribe magiran.com for 50 € euros via PayPal and download 70 articles during a year.
Organization subscription
Please contact us to subscribe your university or library for unlimited access!