Variation of δ2H, δ18O & δ13C in crude palm oil from different regions in Malaysia: Potential of stable isotope signatures as a key traceability parameter

A total of 33 crude palm oil samples were randomly collected from different regions in Malaysia. Stable carbon isotopic composition (δ¹³C) was determined using Flash 2000 elemental analyzer while hydrogen and oxygen isotopic compositions (δ²H and δ¹⁸O) were analyzed by Thermo Finnigan TC/EA, wherein both instruments were coupled to an isotope ratio mass spectrometer. The bulk δ²H, δ¹⁸O and δ¹³C of the samples were analyzed by Hierarchical Cluster Analysis (HCA), Principal Component Analysis (PCA) and Orthogonal Partial Least Square-Discriminant Analysis (OPLS-DA). Unsupervised HCA and PCA methods have demonstrated that crude palm oil samples were grouped into clusters according to respective state. A predictive model was constructed by supervised OPLS-DA with good predictive power of 52.60%. Robustness of the predictive model was validated with overall accuracy of 71.43%. Blind test samples were correctly assigned to their respective cluster except for samples from southern region. δ¹⁸O was proposed as the promising discriminatory marker for discerning crude palm oil samples obtained from different regions. Stable isotopes profile was proven to be useful for origin traceability of crude palm oil samples at a narrower geographical area, i.e. based on regions in Malaysia. Predictive power and accuracy of the predictive model was expected to improve with the increase in sample size. Conclusively, the results in this study has fulfilled the main objective of this work where the simple approach of combining stable isotope analysis with chemometrics can be used to discriminate crude palm oil samples obtained from different regions in Malaysia. Overall, this study shows the feasibility of this approach to be used as a traceability assessment of crude palm oils.     

Diethyl phosphates accumulation in rabbits' hair as an indicator of long term exposure to diazinon and chlorpyrifos

Long term exposure to organophosphate pesticides can be evaluated by quantitative analysis of their non-specific metabolites in hair matrix. The aim of this study was to determine whether these metabolites can be internally incorporated into the hair of rabbits exposed to diazinon and chlorpyrifos. The influence of dose and dose duration of each pesticide dosage were investigated. Three groups of rabbits were exposed to different dosages of diazinon (3.0 and 6.0mg/kg/day) and chlorpyrifos (18.0mg/kg/day) via drinking water. Hair samples were collected every month and analyzed for diethyl phosphate (DEP) and diethyl thiophosphate (DETP) by gas chromatography-mass spectrometry (GC-MS). The mean concentrations of the low-dose treated group, ranged from 112 to 257pg/mg for DEP and from 295 to 515pg/mg for DETP in hair. The high-dose treated group demonstrated a range of mean concentrations from 142 to 585pg/mg for DEP and from 406 to 988pg/mg for DETP in hair. For the chlorpyrifos treated group, the concentrations ranged from 138 to 1070 for DEP and from 554 to 886pg/mg for DETP. Analysis revealed the incorporation of these metabolites into the rabbit hair in a dosage and dose duration-dependent manner. These data confirms the ability of using hair analysis for diethyl phosphates to assess long-term OP exposure.