Analysis of oxylipins to differentiate between organic and conventional UHT milks

Samarra, Iris; Masdevall, Clara; Foguet‐Romero, Elisabet; Guirro, Maria; Riu, Marc; Herrero, Pol; Canela, Núria; Delpino-Rius, Antoni

doi:10.1016/j.foodchem.2020.128477

Cited by 15 publications

(2 citation statements)

References 37 publications

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“…In the past, researchers have taken various approaches to detect the quality of milk, such as NMR spectroscopy to evaluate the impact of hyperbaric storage on the chemical composition of pasteurised milk (Lemos et al ., 2022), chromatography and mass spectroscopy to differentiate organic and UHT milk (Samarra et al ., 2021), or fluorescence and Fourier transform infrared spectroscopy to identify the origins of milk (Fragkoulis et al ., 2021). Additionally, marker peptides (Dongfei et al ., 2022) and stable isotopes approaches (Baohui et al ., 2022) can be used to distinguish between UHT and reconstituted milk.…”

Section: Introductionmentioning

confidence: 99%

Rapid recognition of processed milk type using electrical impedance spectroscopy and machine learning

Huang

Xiao

et al. 2023

Int J of Food Sci Tech

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Unscrupulous merchants would sell cheap, low-nutrition formula milk powder as pasteurised milk, or use it as a raw material in dairy products, for the purpose of making a profit. Currently, biochemical methods are utilised to identify the type of processed milk, which could involve chemical reagents, sample preparation and costly instruments. This paper investigates the utility of electrical impedance spectroscopy (EIS) in distinguishing different types of processed milk. Ultra-high temperature sterilised milk, pasteurised milk and formula milk powder were studied. The one-factor analysis of variance revealed that milk type had a significant influence on electrical properties, whereas sensory analysis, pH and total soluble solids showed poor discrimination of milk type. Recognition models were developed using Support Vector Classification, Partial Least Squares-Discriminant Analysis (PLS-DA), Gaussian Naive Bayes and Random Forest (RF). The nested cross-validation and the external validation set (N = 45) indicated the RF model had the highest predicting accuracy of 97.8%; whereas PLS-DA had a misclassification rate of 33.3% on positive samples and was, therefore, unsuitable for the authentication. The results demonstrated that the EIS data was featured enough for a small sample modelling (N = 75), and the established method was simple, fast and effective for liquid food classification.

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Section: Introductionmentioning

confidence: 99%

Rapid recognition of processed milk type using electrical impedance spectroscopy and machine learning

Huang

Xiao

et al. 2023

Int J of Food Sci Tech

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“…As pesquisas voltadas em comparação de produtos lácteos orgânicos Versus convencional, são focadas em análises químicas, físico-químicas, ou nutricionais, diferenças de componentes químicos ou nutrientes (NØRSKOV et al, 2019), como ácidos graxos (LIU et al, 2020a;SAMARRA et al, 2021) KNUDSEN et al, 2019). Raramente é abordada a diferença microbiológica desses produtos, muito menos o uso de métodos moleculares para tal comparação.…”

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Metagenomic of the 16S gene and resistance assessment of "Staphylococcus" spp. isolated from organic and conventional production of Minas Fresch cheese in the state of São Paulo - Brazil

Clayton da Silva Abreu

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Markers and Mechanisms of Deterioration Reactions in Dairy Products

et al. 2023

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Analysis of oxylipins to differentiate between organic and conventional UHT milks

Cited by 15 publications

References 37 publications

Rapid recognition of processed milk type using electrical impedance spectroscopy and machine learning

Rapid recognition of processed milk type using electrical impedance spectroscopy and machine learning

Metagenomic of the 16S gene and resistance assessment of "Staphylococcus" spp. isolated from organic and conventional production of Minas Fresch cheese in the state of São Paulo - Brazil

Markers and Mechanisms of Deterioration Reactions in Dairy Products

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