Classification of Moisture Content of Milk Powder by Using NIR Spectroscopy and Chemometrics

Date

2024-06-09

Author

Göçebe, Volkan
Eriklioğlu, Hilmi
Güner, Selen
Öztop, Halil Mecit

Metadata

Show full item record

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Item Usage Stats

104
views

1
downloads

Cite This

Ensuring the quality of milk powder is crucial due to its nutritional importance. This study investigates the use of Near-Infrared (NIR) spectroscopy as a nondestructive, rapid alternative for the classification of milk powders under various relative humidity conditions. Samples, including whole, skim milk, and lactose-free milk powders, were analyzed using both a desktop (NIRFlex N-500) and a portable (NIR-S-G1) NIR spectrometer. Advanced chemometric methods, such as mean centering, baseline correction, Gaussian smoothing, and derivative processing, were applied to the raw NIR spectra using Orange data analysis software (Demšar et al., 2013). The study revealed that whole milk powder samples with different relative humidity rates showed distinct NIR spectra at 1455 nm and 1927 nm, corresponding to water absorption. High relative humidity samples exhibited higher absorbance values. Principal Component Analysis (PCA) was employed to explore sample differences, with k-Nearest Neighbors (kNN) and Support Vector Machine (SVM) models achieving 100% classification accuracy based on relative humidity. The portable NIR device demonstrated high efficiency for the project due to its fast data collection, ease of transportation, cost-effectiveness, and robust classification ability. Our findings affirm that NIR spectroscopy combined with robust chemometric techniques provides a reliable, efficient method for nondestructive moisture content determination and classification in milk powder, enhancing real-time quality control and product standardization.

URI

https://hdl.handle.net/11511/118218

Collections

Department of Food Engineering, Conference / Seminar