[HTML][HTML] Prediction of milk composition using multivariate chemometric modelling of infrared, Raman, and fluorescence spectroscopic data: A review

S Mohammadi, A Gowen, J Luo, C O'Donnell - Food Control, 2024 - Elsevier
Quality assessment of milk which is a comprehensive source of nutrients for humans and an
important raw material for other dairy products is required in the dairy industry. Rapid, cost …

[HTML][HTML] Potential of Raman spectroscopy for in-line measurement of raw milk composition

HMH Khan, U McCarthy, K Esmonde-White, I Casey… - Food Control, 2023 - Elsevier
A method for the in-line measurement of raw milk composition is beneficial for the dairy
industry as it allows processors to make timely decisions, ie, standardization, prior to the milk …

Goat milk powders enriched with grape pomace seed extract: Physical and techno-functional properties

DD Milinčić, AŽ Kostić, S Kolašinac, V Rac, N Banjac… - Food …, 2024 - Elsevier
Highlights•Heated goat milk (TM) were mixed with grape pomace seed (SE) extracts.•SE
extracts didn't significantly change the ζ-potential of goat milk micelles.•Changes in the …

Optimized identification of cheese products based on Raman spectroscopy and an extreme learning machine

ZY Zhang, MQ Jiang, HM Xiong - New Journal of Chemistry, 2023 - pubs.rsc.org
Rapid and intelligent identification of similar samples is an important technical aid for food
quality and safety assessment. At present, relevant research studies are still relatively …

Raman spectroscopy and fusion machine learning algorithm: A novel approach to identify dairy fraud

Z Feng, D Liu, J Gu, L Zheng - Journal of Food Composition and Analysis, 2024 - Elsevier
In addressing food safety verification, ensuring the authenticity of food labels remains of
utmost importance. With the objective of enhancing label validation and fraud detection, our …

[HTML][HTML] Multimodal handheld probe for characterizing otitis media—integrating Raman spectroscopy and optical coherence tomography

GL Monroy, ST Fitzgerald, A Locke, J Won… - Frontiers in …, 2022 - frontiersin.org
Otitis media (OM) is a common disease of the middle ear, affecting 80% of children before
the age of three. The otoscope, a simple illuminated magnifier, is the standard clinical …

[HTML][HTML] Two Convenient Methods for Detection of Non-Dairy Fats in Butter by Dynamic Light Scattering and Luminescence Spectroscopy

LL Chaikov, MN Kirichenko, SV Krivokhizha… - Applied Sciences, 2023 - mdpi.com
We propose two convenient methods to quickly detect the presence of non-milk fat (palm oil)
in butter, as well as to determine its amount in the product. For the first time, we have …

The taste of a champion: Characterization of artisanal cheeses from the Minas Gerais region (Brazil) by Raman spectroscopy and microstructural analysis

JR Costa, DA Pereira, IL de Paula, LR de Abreu… - Journal of Food …, 2022 - Elsevier
The production of artisanal cheeses is an important economic activity in different regions of
Brazil, especially in Minas Gerais. In this work, 25 samples of artisanal cheeses were …

[HTML][HTML] Discriminative feature analysis of dairy products based on machine learning algorithms and Raman spectroscopy

JX Li, CC Qing, XQ Wang, MJ Zhu, BY Zhang… - Current Research in …, 2024 - Elsevier
Discriminant analysis of similar food samples is an important aspect of achieving food
quality control. The effective combination of Raman spectroscopy and machine learning …

A Simple New Way to Detect Butter Adulteration by Palm Oil Using Luminescence

SV Krivokhizha, MR Kupov, AN Lobanov… - Bulletin of the Lebedev …, 2022 - Springer
A simple method for detecting butter adulteration by replacing a butter fraction with
vegetable fat is proposed. It is shown that measurements of the butter luminescence …