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  3. Biomechatronics Engineering / 生物機電工程學系
  4. Detecting Goat Milk Mixed with Cow Milk by Visible / Near Infrared Spectrophotometer
 
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Detecting Goat Milk Mixed with Cow Milk by Visible / Near Infrared Spectrophotometer

Date Issued
2008
Date
2008
Author(s)
Chien, Da-Wei
URI
http://ntur.lib.ntu.edu.tw//handle/246246/180181
Abstract
Market price of goat milk is about twice of milk. To solve the problems of goat milk mixed milk and unclear labeling the compositions ,to maintain market order and to protect consumers'' rights and interests, it is necessary to develop a rapid detecting method. At temperature 40 degree C, 60 random goat samples were taken from the experimental farm of National Taiwan University, mixed with 15%,10% and 6% of cow , scanned by FOSS NIRSystem 6500 from 400nm to 2498nm with 2nm intervals.1050 absorbance were collected by winISIⅡ software, and analyzed by PLSR in Unscramber 7.6 software and discriminant analysis in Matlab 6.0 software with a dummy regression technique.sing original spectra from 400nm to 2498nm analyzed by a PLSR method with a dummy regression, validation rates of 60 goat milk samples mixed with 15% , 10%,and 6%cow milk were 97.5%,72.5% and72.5%, respectively.electing 40 absorbance corresponding to wavelength with the lowest correlation analyzed by discriminant analysis, validation rates of 60 goat milk samples mixed with 15%, 10%, and 6% cow milk were 90%, 85% and 70%, respectively. The average validation rate of three groups was 81.7% higher than 80.8% by PLSR method. The established linear equation could predict the validation rate without measurement.
Subjects
spectroscopy
nearly infrared
discriminant analysis
PLSR
goat milk
milk
Type
thesis
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ntu-97-R94631029-1.pdf

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(MD5):4b3228aed5e132ee9c63cec1e08741fc

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