Publicação
Analysis of milk adulteration by means of a potentiometric electronic tongue
| Resumo: | Milk adulteration presents substantial challenges in the food industry, prompting the need for efficient de- tection methods. This study introduces a potentiometric electronic tongue for rapid and accurate detection of milk adulteration. Using polymeric membranes with various integrated additives, the electronic tongue distinguished between different milk types and detected common adul- terants. Experimental results demonstrated its effective- ness in discriminating raw, pasteurized, and medicated cow milk, as well as goat milk. Moreover, it success- fully identified adulterants, such as water and cow milk, in goat milk samples. Chemometric analyses, including principal component analysis and partial least squares regression, correlated sensor responses with traditional milk parameters such as fat, protein, and lactose content with an R 2 of up to 0.97 on the validation step. Strong correlations validated the electronic tongue’s potential for rapid milk quality assessment. This innovative ap- proach offers a cost-effective, reliable solution for de- tecting milk adulteration in contrast to current techniques that require numerous time-consuming experiments. |
|---|---|
| Autores principais: | Perez-Gonzalez, Clara |
| Outros Autores: | Garcia-Hernandez, Celia; Garcia-Cabezon, Cristina; Rodriguez-Mendez, M.L.; Dias, L.G.; Martin-Pedrosa, Fernando |
| Assunto: | Bacteria C/N ratio Compost Fungi Phytotoxicity |
| Ano: | 2024 |
| País: | Portugal |
| Tipo de documento: | artigo |
| Tipo de acesso: | acesso aberto |
| Instituição associada: | Instituto Politécnico de Bragança |
| Idioma: | inglês |
| Origem: | Biblioteca Digital do IPB |
| Resumo: | Milk adulteration presents substantial challenges in the food industry, prompting the need for efficient de- tection methods. This study introduces a potentiometric electronic tongue for rapid and accurate detection of milk adulteration. Using polymeric membranes with various integrated additives, the electronic tongue distinguished between different milk types and detected common adul- terants. Experimental results demonstrated its effective- ness in discriminating raw, pasteurized, and medicated cow milk, as well as goat milk. Moreover, it success- fully identified adulterants, such as water and cow milk, in goat milk samples. Chemometric analyses, including principal component analysis and partial least squares regression, correlated sensor responses with traditional milk parameters such as fat, protein, and lactose content with an R 2 of up to 0.97 on the validation step. Strong correlations validated the electronic tongue’s potential for rapid milk quality assessment. This innovative ap- proach offers a cost-effective, reliable solution for de- tecting milk adulteration in contrast to current techniques that require numerous time-consuming experiments. |
|---|