کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
7598029 | 1492132 | 2014 | 6 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Development and analytical validation of a simple multivariate calibration method using digital scanner images for sunset yellow determination in soft beverages
ترجمه فارسی عنوان
اعتبار سنجی توسعه و تحلیلی یک روش کالیبراسیون چند متغیره ساده با استفاده از تصاویر اسکن دیجیتال برای تعیین زرد غروب آفتاب در نوشابه های نرم
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
شیمی
شیمی آنالیزی یا شیمی تجزیه
چکیده انگلیسی
This paper proposed a novel methodology for the quantification of an artificial dye, sunset yellow (SY), in soft beverages, using image analysis (RGB histograms) and partial least squares regression. The developed method presented many advantages if compared with alternative methodologies, such as HPLC and UV/VIS spectrophotometry. It was faster, did not require sample pretreatment steps or any kind of solvents and reagents, and used a low cost equipment, a commercial flatbed scanner. This method was able to quantify SY in isotonic drinks and orange sodas, in the range of 7.8-39.7 mg Lâ1, with relative prediction errors lower than 10%. A multivariate validation was also performed according to the Brazilian and international guidelines. Linearity, accuracy, sensitivity, bias, prediction uncertainty and a recently proposed tool, the β-expectation tolerance intervals, were estimated. The application of digital images in food analysis is very promising, opening the possibility for automation.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Food Chemistry - Volume 159, 15 September 2014, Pages 175-180
Journal: Food Chemistry - Volume 159, 15 September 2014, Pages 175-180
نویسندگان
Bruno G. Botelho, Luciana P. de Assis, Marcelo M. Sena,