کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
5769129 1413234 2017 7 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Use of NIR hyperspectral imaging and multivariate curve resolution (MCR) for detection and quantification of adulterants in milk powder
موضوعات مرتبط
علوم زیستی و بیوفناوری علوم کشاورزی و بیولوژیک دانش تغذیه
پیش نمایش صفحه اول مقاله
Use of NIR hyperspectral imaging and multivariate curve resolution (MCR) for detection and quantification of adulterants in milk powder
چکیده انگلیسی


- Detection and quantification of milk powder adulterants.
- Near infrared hyperspectral imaging and multivariate curve resolution.
- Adulterants: whey powder, starch, urea and melamine.
- MCR was able to recover the adulterant spectra providing its identification.
- Errors lower than 5 percentage points.

In this work, a methodology was proposed for detection and quantification of milk powder adulterants based on the combination of near infrared hyperspectral imaging and multivariate curve resolution method (MCR). No priori information about the adulterant present in the sample was necessary and only five sample calibrations were used for development of the calibration model. Mixtures of milk powder with only one adulterant (whey powder, starch, urea and melamine) were studied in concentrations ranged from 5 to 30% (w/w). For melamine, lower concentrations (up to 0.05%) were tested to evaluate de detection ability of the proposed methodology. Also, mixtures of milk powder with 2 (starch/urea) and 3 adulterants (starch/urea/whey powder) were studied in concentrations in the range of 1-10% (w/w). MCR was able to recover the adulterant spectra providing its identification and quantification with absolute errors lower than 5 percentage points.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: LWT - Food Science and Technology - Volume 76, Part B, March 2017, Pages 337-343
نویسندگان
, ,