Detection of Sludge Contamination in Crude Palm Oil Using Dielectric Spectroscopy
Author(s) -
Khairunnisa Hamdan,
Samsuzana Abd Aziz,
Azmi Yahya,
Fakhrul Zaman Rokhani,
Brian L. Steward
Publication year - 2015
Publication title -
transactions of the asabe
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.396
H-Index - 101
eISSN - 2151-0040
pISSN - 2151-0032
DOI - 10.13031/trans.58.10656
Subject(s) - contamination , dielectric , palm oil , partial least squares regression , dielectric spectroscopy , analytical chemistry (journal) , materials science , calibration , pulp and paper industry , chemistry , chromatography , mathematics , statistics , food science , ecology , optoelectronics , electrode , engineering , electrochemistry , biology
. Degradation and deterioration of crude palm oil (CPO) is a major concern in the palm oil industry because it could affect the quality of palm oil products. The development of rapid and non-destructive measuring techniques is needed to enhance the efficiency of palm oil quality monitoring. This study used dielectric spectroscopy to detect possible sludge contamination in CPO. Dielectric properties of CPO were measured at different temperatures and sludge contamination levels using a liquid dielectric test fixture that was connected to an impedance analyzer with frequencies ranging from 3 to 30 MHz. The variations in dielectric properties were analyzed using ANOVA and Duncan’s multiple range test. Principal component regression (PCR) and partial least squares (PLS) analysis were used for model development to predict sludge contamination. The results showed that there was a significant difference in dielectric constant as the temperature increased from 28°C to 55°C (p 2 values ranging from 0.91 to 0.98. The best result was obtained at 28°C with the lowest value of standard error cross-validation (SECV) of 1.04%. The results showed that dielectric spectroscopy has strong potential for CPO quality monitoring.
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