Effective detection and quantification of chemical adulterants in model fat-filled milk powders using NIRS and hierarchical modelling strategies. [electronic resource]

By:

Kene Ejeahalaka, Kizito

Contributor(s):

On, Stephen L W

Producer: 20200219Description: 125785 p. digitalISSN:

1873-7072

Subject(s):

Animals
Food Contamination -- analysis
Least-Squares Analysis
Milk -- chemistry
Plant Oils -- chemistry
Powders -- chemistry
Principal Component Analysis
Spectroscopy, Near-Infrared
Triazines -- analysis
Urea -- analysis

Online resources:

Available from publisher's website

In: Food chemistry vol. 309

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Effective detection and quantification of chemical adulterants in model fat-filled milk powders using NIRS and hierarchical modelling strategies.

APA

Kene Ejeahalaka K., On S. L. W., . (20200219). Effective detection and quantification of chemical adulterants in model fat-filled milk powders using NIRS and hierarchical modelling strategies. : Food chemistry.

Chicago

Kene Ejeahalaka Kizito, On Stephen L W, . 20200219. Effective detection and quantification of chemical adulterants in model fat-filled milk powders using NIRS and hierarchical modelling strategies. : Food chemistry.

Harvard

MLA

Kene Ejeahalaka Kizito, On Stephen L W, . Effective detection and quantification of chemical adulterants in model fat-filled milk powders using NIRS and hierarchical modelling strategies. : Food chemistry. 20200219.

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