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Validation of an automated method for the analysis of fat content of dulce de leche
被引:6
|作者:
Zarpelon, Jaqueline
[1
,2
]
Molognoni, Luciano
[1
]
Valese, Andressa C.
[1
,2
]
Ribeiro, Deise H. B.
[2
]
Daguer, Heitor
[1
]
机构:
[1] Minist Agr Pecuaria & Abastecimento, Lab Nacl Agropecuario SLAV SC LANAGRO RS, BR-88102600 Sao Jose, SC, Brazil
[2] Univ Fed Santa Catarina, Ctr Ciencias Agr, BR-88034500 Florianopolis, SC, Brazil
关键词:
Acid hydrolysis;
Automated methods;
Dairy products;
Food analysis;
Food composition;
Lipid quantification;
Measurement uncertainty;
Soxhlet;
MEASUREMENT UNCERTAINTY;
FOOD;
EXTRACTION;
D O I:
10.1016/j.jfca.2015.12.011
中图分类号:
O69 [应用化学];
学科分类号:
081704 ;
摘要:
This work aimed to validate an automated method for acid hydrolysis and extraction of fat content of dulce de leche, a typical Latin American dairy product. Validation parameters were analyzed according to Commission Decision 657/2002/EC. The measurement uncertainty and the limits of detection (LoD) and quantification (LoQ) were also determined. Precision, recovery and decision limit were evaluated in two regulatory levels (6.0 and 9.0 g/100 g), with recoveries of 89% and 95%. The method was linear in the concentration range of 0.53-12.00 g/100 g and the LoD and the LoQ were set to 0.16 and 0.53 g/100 g, respectively. The validated method was compared to a Rose-Gottlieb reference method, presenting better precision in terms of repeatability and better recovery. Then, commercial samples, processed by inspected establishments in Argentina (n = 3), Uruguay (n = 2) and Brazil (n = 17) were analyzed and fat contents were among 1.10 and 10.12 g/100 g. Thus, this method is suitable for accurate routine analysis of the fat content of dulce de leche. (C) 2016 Elsevier Inc. All rights reserved.
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页码:1 / 7
页数:7
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