Related Experiment Video
Updated: Jun 23, 2026

Milk Collection in the Rat Using Capillary Tubes and Estimation of Milk Fat Content by Creamatocrit
Published on: December 16, 2015
[FTIR and classification study on the powdered milk with different assist material]
Jing Zhou1, Su-Qin Sun, Yong-Jun Li
1Gansu Center for Disease Prevention and Control, Lanzhou 730000, China. zhouziming99@126.com
Near-infrared (NIR) spectroscopy combined with SIMCA cluster analysis effectively sorts milk powders with different adjuvants. This method achieves over 90% accuracy, offering a rapid and reliable quality control solution for the food industry.
Area of Science:
- Analytical Chemistry
- Spectroscopy
- Chemometrics
Context:
- Milk powder adulteration poses significant food safety risks.
- Distinguishing milk powders with various adjuvants requires sophisticated analytical techniques.
- Traditional methods for milk powder analysis can be time-consuming and labor-intensive.
Purpose:
- To develop and validate a rapid sorting method for milk powders adulterated with different adjuvants.
- To apply near-infrared (NIR) spectroscopy and SIMCA (Soft Independent Modeling of Class Analogy) cluster analysis for intelligent determination.
- To assess the accuracy and reliability of the proposed method for quality control.
Summary:
- Near-infrared (NIR) spectra of 250 milk powder samples with various adjuvants were analyzed using SIMCA cluster analysis.
- Pattern recognition techniques were necessary due to the subtle spectral differences.
- The method achieved over 90% accuracy in blind detections, demonstrating effective differentiation without interference between adulterants.
Impact:
- Provides a rapid, non-destructive, and accurate method for identifying milk powders adulterated with different adjuvants.
- Enhances quality control and safety assurance in the dairy industry.
- Potential for improved accuracy with larger sample sizes and standardized procedures.
More Related Videos
08:43PTR-ToF-MS Coupled with an Automated Sampling System and Tailored Data Analysis for Food Studies: Bioprocess Monitoring, Screening and Nose-space Analysis
Published on: May 11, 2017
08:51Atomic Force Microscopy Combined with Infrared Spectroscopy as a Tool to Probe Single Bacterium Chemistry
Published on: September 15, 2020
Related Concept Videos
Classification of Titrimetric Analysis Based on Reaction Types
Titrations between an acid and a base lead to neutralization reactions that form...
Infrared (IR) Spectroscopy: Overview
Different compounds display unique properties due to their...
IR Spectrometers
Classifying Matter by Composition
According to its composition, the matter can be classified into two broad categories — pure substances and mixtures.
A pure substance is a form of matter that has a constant composition throughout with uniform properties. For example, any sample of sucrose has the same composition and same physical properties, such as melting point, color, and sweetness, regardless of the source from which it is isolated.
A mixture is composed of two or more types of...
Attenuated Total Reflectance (ATR) Infrared Spectroscopy: Overview
The ATR process begins by directing a beam...
IR Frequency Region: Fingerprint Region
The...