Data/hora: 06/06/2024 07:21:25

Provedor de dados: | 65
País: | Brazil
Título: | Infrared or ultrasonic milk analysis can affect its results?
Autores: | Manske,Guilherme Augusto; Rigo,Elisandra; Gomes,Fábio José; Schogor,Ana Luiza Bachmann.
Data: | 2019-01-01
Ano: | 2019
Palavras-chave: | Composition; Fast methods; Fat; Milk quality; Protein.
Resumo: | ABSTRACT:  Constant monitoring of milk quality by the processing industries demands the use of methodologies that add agility and low-cost analysis, such as the use of electronic equipment based on infrared or ultrasonic spectroscopy. In the present study, quality of raw milk received by dairy farms from western region of Santa Catarina state, Brazil, was evaluated throughout two methodologies of analysis of chemical composition and compared, being that both equipment used standard procedures for calibration, considering as reference data from the classic analytical methods recommended in Brazilian legislation. Milk samples from 45 producers were analyzed for SCC, TBC and physicochemical analysis, performed at dairy’s laboratory and at the official laboratory. Infrared and ultrasound methodologies for chemical composition of fat, protein and lactose were compared and correlated. The comparison of the methods showed that there was no significant difference for the mean values of fat (P=0.06); however, they presented significant difference for protein (P=0.001), higher for IR (3.23 vs. 3.33), and lactose (P&lt;0.0001), higher for US (4.47 vs. 4.83). Correlation was positive and significant for fat (r=0.73, P&lt;0.0001), protein (r=0.47, P=0.001) and lactose (r=0.51, P=0.0003). Considering the minimal composition required, TBC and SCC levels, 95.5%, 84.1% and 64.4% of the milk producers met the current Brazilian legislation, respectively. It was concluded that the methodologies have affected results, which may have been influenced by the correction factor used for equipment calibration, specifically for analyzed samples during the study period.
Tipo: | Info:eu-repo/semantics/article
Idioma: | Inglês
Identificador: | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782019000700451
Editor: | Universidade Federal de Santa Maria
Relação: | 10.1590/0103-8478cr20180510
Formato: | text/html
Fonte: | Ciência Rural  v.49 n.7 2019
Fonte: | info:eu-repo/semantics/openAccess