کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
5006630 1461479 2017 10 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Identification of adulteration in uncooked Jasmine rice by a portable low-cost artificial olfactory system
ترجمه فارسی عنوان
شناسایی تقلید در برنج نیشکر یاسمن با یک سیستم کم هزینه مصنوعی بویایی
موضوعات مرتبط
مهندسی و علوم پایه سایر رشته های مهندسی کنترل و سیستم های مهندسی
چکیده انگلیسی
Development of a portable low-cost artificial olfactory system called as electronic nose (E-nose) for rapid assessment of adulteration percentages in uncooked Jasmine rice (Khao Dawk Mali 105) is reported. White rice was used to adulterate the Jasmine rice at various weight ratios (5, 10, 15, 20, 40, 60 and 80% w/w). Volatile aroma compounds released by rice samples including pure Jasmine, pure White and mixed rice samples were detected by the E-nose (room temperature and 55 °C) and solid-phase microextraction (SPME) in conjunction with gas chromatography-time of flight mass spectrometer (GC-TOFMS). The E-nose exhibited the highest sensor responses to Jasmine rice, mixed rice, and White rice samples, respectively, corresponding to number and total concentration of volatile aroma compounds obtained by SPME/GC-TOFMS analysis. 2-Butanone was found to be the most dominant volatile aroma compound in rice samples. Principal component analysis (PCA) with simple Euclidean plane calculation was used for pattern recognition and evaluation of adulteration percentages. Mean distances of PCA analysis showed a strong correlation and linear relationship (R2 > 0.94) with amount of adulteration percentages at both room temperature and 55 °C. Also, support vector machine (SVM) and back propagation neural network (BPNN) were used to classify and predict adulteration percentages. The results confirmed that the developed E-nose with simple proposed method can be used as alternative tool to quantify the adulterations in rice samples with several advantages including rapid, simple, low-cost, reliable and nondestructive measurement.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Measurement - Volume 108, October 2017, Pages 67-76
نویسندگان
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