TY - JOUR
T1 - From bench to worktop
T2 - Rapid evaluation of nutritional parameters in liquid foodstuffs by IR spectroscopy
AU - Perez-Guaita, David
AU - Richardson, Zack
AU - Rajendara, Amrut
AU - Byrne, Hugh J.
AU - Wood, Bayden
N1 - Publisher Copyright:
© 2021 The Authors
PY - 2021/12/15
Y1 - 2021/12/15
N2 - We evaluated the use of attenuated total reflectance infrared spectroscopy for simultaneous in situ quantification of the nutritional composition of liquid food stuffs in the industrial kitchen context. Different methodologies were compared, including dry and wet acquisition along with instrument parameters and measurement times of 4 and 60 s. The most effective technique was 1-minute measurement, with prediction errors of 2.6, 0.7, 1.0, 2.2, 0.8, 2.4 g/100 mL and 150 Kcal, for carbohydrates, proteins, fat, sugars, saturated fat, water and energy values, respectively. The 4-second method resulted in larger errors but was more applicable for inline measurements. Dry measurements successfully predicted the fractions of proteins, fat, carbohydrates, and sugars, relative to total solids. An app was created to facilitate implementation in a kitchen environment. Compared with other techniques recommended by the FAO, the approach offered a simple alternative for simultaneous prediction of nutritional parameters in an industrial kitchen set-up.
AB - We evaluated the use of attenuated total reflectance infrared spectroscopy for simultaneous in situ quantification of the nutritional composition of liquid food stuffs in the industrial kitchen context. Different methodologies were compared, including dry and wet acquisition along with instrument parameters and measurement times of 4 and 60 s. The most effective technique was 1-minute measurement, with prediction errors of 2.6, 0.7, 1.0, 2.2, 0.8, 2.4 g/100 mL and 150 Kcal, for carbohydrates, proteins, fat, sugars, saturated fat, water and energy values, respectively. The 4-second method resulted in larger errors but was more applicable for inline measurements. Dry measurements successfully predicted the fractions of proteins, fat, carbohydrates, and sugars, relative to total solids. An app was created to facilitate implementation in a kitchen environment. Compared with other techniques recommended by the FAO, the approach offered a simple alternative for simultaneous prediction of nutritional parameters in an industrial kitchen set-up.
KW - Chemometrics
KW - Infrared spectroscopy
KW - Nutritional parameters
KW - Partial least squares
KW - Recipe analysis
UR - http://www.scopus.com/inward/record.url?scp=85109066959&partnerID=8YFLogxK
U2 - 10.1016/j.foodchem.2021.130442
DO - 10.1016/j.foodchem.2021.130442
M3 - Article
C2 - 34237569
AN - SCOPUS:85109066959
SN - 0308-8146
VL - 365
JO - Food Chemistry
JF - Food Chemistry
M1 - 130442
ER -