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Prediction of chemical composition of Greek traditional sausages by Near-Infrared Reflectance Spectroscopy

Tzemou, M., Parasoglou, V. K., Ioannidou, T., Papadopoulos, V., Mitlianga, P., Kasapidou, E.

Abstract

The potential of Near Infrared Reflectance (NIR) spectroscopy to predict the chemical composition of traditional sausages was evaluated. Proximate composition was determined with reference methods. Calibration coefficients and standard errors were 0.92 and 1.66 (moisture), 0.90 and 0.10 (ash), 0.88 and 0.86 (protein) and 0.96 and 1.47 (fat). Cross validation coefficients and standard errors were 0.87 and 1.93 (moisture), 0.74 and 0.16 (ash), 0.75 and 1.21 (protein) and 0.92 and 1.98 (fat). NIR spectroscopy can be applied for the prediction of moisture and fat content of sausages.

Keywords
Near Infrared Reflectance spectroscopy, traditional sausage, chemical composition
Download
IMEKO-TC23-2017-107.pdf
DOI
-
IMEKO TC
TC23 - Metrology in Food and Nutrition

Event details

Event
3rd IMEKOFOODS Conference
Technical Committee
TC23
Email
imekofoods3@gmail.com
Place
Thessaloniki, GREECE
Time
1 October 2017 - 4 October 2017

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