DETECTION OF FLAXSEED OIL ADULTERATION BASED ON TWO-DIMENSIONAL CORRELATION NEAR-INFRARED SPECTRA
نویسندگان
چکیده
Flaxseed oil is rich in α-linolenic acid and other nutrients, the adulteration happens frequently because of its high price. To detect flaxseed quickly accurately, a method was proposed based on weighted reconstructed two-dimensional correlation near-infrared(NIR) spectra. The near-infrared spectra 79 adulterated samples (adulterated by rapeseed with doping volume ratio 1%-40%) were measured, traditional synchronous calculated. all decomposed into multiple components different scales bi-dimensional empirical mode decomposition algorithm (BEMD). According to root mean square error(RMSE) values detection sub-models established each component, weights corresponding calculated, then accumulating components. A quantitative analysis model combined N-way partial least square(N-PLS)algorithm. Compared spectroscopy, built had better performance calibration determination coefficient increased 6.05%, prediction 7.5%. could effectively enhance spectral feature information, reduce noise interference, hence provide new idea for edible adulteration.
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ژورنال
عنوان ژورنال: INMATEH-Agricultural Engineering
سال: 2023
ISSN: ['2068-2239', '2068-4215']
DOI: https://doi.org/10.35633/inmateh-69-52