دانلود مقاله ISI انگلیسی شماره 52481
ترجمه فارسی عنوان مقاله

تعیین فعالیت مهار رادیکال آزاد DPPH : استفاده از شبکه های عصبی مصنوعی

عنوان انگلیسی
Determination of DPPH free radical scavenging activity: Application of artificial neural networks
کد مقاله سال انتشار تعداد صفحات مقاله انگلیسی
52481 2016 7 صفحه PDF
منبع

Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)

Journal : Food Chemistry, Volume 194, 1 March 2016, Pages 705–711

ترجمه کلمات کلیدی
فعالیت مهار رادیکال آزاد DPPH - فراگیری ماشین - شبکه عصبی مصنوعی - طبقه بندی تصویر
کلمات کلیدی انگلیسی
DPPH free radical scavenging activity; Machine learning; Artificial neural network; Image classification
پیش نمایش مقاله
پیش نمایش مقاله  تعیین فعالیت مهار رادیکال آزاد DPPH : استفاده از شبکه های عصبی مصنوعی

چکیده انگلیسی

A new computational approach for the determination of 2,2-diphenyl-1-picrylhydrazyl free radical scavenging activity (DPPH-RSA) in food is reported, based on the concept of machine learning. Trolox standard was mix with DPPH at different concentrations to produce different colors from purple to yellow. Artificial neural network (ANN) was trained on a typical set of images of the DPPH radical reacting with different levels of Trolox. This allowed the neural network to classify future images of any sample into the correct class of RSA level. The ANN was then able to determine the DPPH-RSA of cinnamon, clove, mung bean, red bean, red rice, brown rice, black rice and tea extract and the results were compared with data obtained using a spectrophotometer. The application of ANN correlated well to the spectrophotometric classical procedure and thus do not require the use of spectrophotometer, and it could be used to obtain semi-quantitative results of DPPH-RSA.