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Visible/Near Infrared (VIS/NIR) spectroscopy as an optical sensor for evaluating olive oil quality

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Palestine Technical College
Abu-Khalaf N.; Hmidat M.
Abu-Khalaf, Nawaf (16051888700); Hmidat, Mohammed (57190292550)
16051888700; 57190292550
2020
Computers and Electronics in Agriculture
Visible/Near Infrared (VIS/NIR) spectroscopy as an optical sensor for evaluating olive oil quality
173
Elsevier B.V.
105445
Department of Agricultural Biotechnology, College of Agricultural Sciences and Technology, Palestine Technical University-Kadoorie (PTUK), P.O.Box 7, Tulkarm, Palestine; Al Reef for Investment & Agricultural Marketing, Al Ma'ahed Street, Ramallah, Palestine
Abu-Khalaf N., Department of Agricultural Biotechnology, College of Agricultural Sciences and Technology, Palestine Technical University-Kadoorie (PTUK), P.O.Box 7, Tulkarm, Palestine; Hmidat M., Al Reef for Investment & Agricultural Marketing, Al Ma'ahed Street, Ramallah, Palestine
N. Abu-Khalaf; Department of Agricultural Biotechnology, College of Agricultural Sciences and Technology, Palestine Technical University-Kadoorie (PTUK), Tulkarm, P.O.Box 7, Palestine; email: n.abukhalaf@ptuk.edu.ps
71
10.1016/j.compag.2020.105445
Multivariate data analysis; Olive oil quality; Partial least squares (PLS); Principal component analysis (PCA); VIS/NIR spectroscopy
Palestine; Acidity; Chemical analysis; Least squares approximations; Olive oil; Oxidation; Peroxides; Principal component analysis; Spectrum analysis; Correlation coefficient; Partial least square (PLS); Quality parameters; Standard deviation; Standard errors; Validation sets; Vis/NIR spectroscopy; Visible/near infrared; accuracy assessment; chemical analysis; detection method; essential oil; optical property; principal component analysis; sensor; spectroscopy; Quality control