دانلود مقاله ISI انگلیسی شماره 42811
ترجمه فارسی عنوان مقاله

تعیین طیف سنجی تصویر فوتونی روغن زیتون فوق العاده باکیفی و مخلوط دوتایی آن از طریق سیستم های هوشمند

عنوان انگلیسی
Spectroscopic determination of the photodegradation of monovarietal extra virgin olive oils and their binary mixtures through intelligent systems
کد مقاله سال انتشار تعداد صفحات مقاله انگلیسی
42811 2015 6 صفحه PDF
منبع

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

Journal : Talanta, Volume 144, 1 November 2015, Pages 363–368

ترجمه کلمات کلیدی
روغن زیتون اضافی، کلروفیل، کاروتنوئیدها، رنگدانه ها، طیف سنجی، شبکه های عصبی مصنوعی
کلمات کلیدی انگلیسی
Extra virgin olive oil; Chlorophyll; Carotenoids; Pigments; Spectroscopy; Artificial neural networks

چکیده انگلیسی

A common phenomenon that takes place in bottled extra virgin olive oil (EVOO) is the photooxidation of its pigments, especially chlorophyll, which acts as a singlet-oxygen sensitizer. This translates into a severe decrease of quality, potentially leading to oxidized and rancid olive oils by the time they reach to the consumers. In this current research, the photochemical degradation has been monitored for 45 days in binary mixtures of four monovarietal EVOOs (Arbequina, Hojiblanca, Cornicabra, and Picual) through UV–Visible spectroscopy. A multilayer perceptron-based model was optimized to estimate the photodegradation suffered by the samples, in terms of photodegradation time, relying on the spectroscopic information gathered and attaining an error rate of 2.43 days (5.3%) in the determination of this parameter.