TY - JOUR
T1 - Portable Detection and Quantification of Olive Oil Adulteration by 473-nm Laser-Induced Fluorescence
AU - Mu, Taotao
AU - Chen, Siying
AU - Zhang, Yinchao
AU - Chen, He
AU - Guo, Pan
AU - Meng, Fandong
N1 - Publisher Copyright:
© 2015, Springer Science+Business Media New York.
PY - 2016/1/1
Y1 - 2016/1/1
N2 - Extra virgin olive oil (EVOO) contains a higher ratio of antioxidants and monounsaturated fatty acids, and the price of EVOO is higher than that of other vegetable oils due to the complicated production process and storage condition. Adulteration of extra virgin olive oils with inferior vegetable oils has attracted increasing attentions. In this paper, we detect and quantify adulteration of extra virgin olive oil by 473 nm laser-induced fluorescence (LIF) with the help of multivariate analysis. Two hundred eighty sets of data are successfully classified to four groups (including olive, rapeseed, peanut, and blend oils). Moreover, a partial least squares model is built to predict the adulteration concentration with the errors lower than 2 %. The detection system will be assembled into a module (110 × 100× 25 mm). Due to non-destructive and requiring no sample pre-treatment characteristic, this method can be effectively employed for food safety detection.
AB - Extra virgin olive oil (EVOO) contains a higher ratio of antioxidants and monounsaturated fatty acids, and the price of EVOO is higher than that of other vegetable oils due to the complicated production process and storage condition. Adulteration of extra virgin olive oils with inferior vegetable oils has attracted increasing attentions. In this paper, we detect and quantify adulteration of extra virgin olive oil by 473 nm laser-induced fluorescence (LIF) with the help of multivariate analysis. Two hundred eighty sets of data are successfully classified to four groups (including olive, rapeseed, peanut, and blend oils). Moreover, a partial least squares model is built to predict the adulteration concentration with the errors lower than 2 %. The detection system will be assembled into a module (110 × 100× 25 mm). Due to non-destructive and requiring no sample pre-treatment characteristic, this method can be effectively employed for food safety detection.
KW - Fluorescence
KW - Laser-induced fluorescence
KW - Portable detection
KW - Principal component analysis
KW - Support vector machine
UR - http://www.scopus.com/inward/record.url?scp=84929440148&partnerID=8YFLogxK
U2 - 10.1007/s12161-015-0199-2
DO - 10.1007/s12161-015-0199-2
M3 - Article
AN - SCOPUS:84929440148
SN - 1936-9751
VL - 9
SP - 275
EP - 279
JO - Food Analytical Methods
JF - Food Analytical Methods
IS - 1
ER -