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The effects of homogenization cycles on the kenaf seed oil (KSO) emulsion stability was checked in this study. KSO nanoemulsions were prepared using a high-pressure homogenizer at 1, 3, and 5 cycles. Results showed that higher homogenization cycles provided the samples with a significant (p ≤ 0.05) smaller size of KSO droplets, but slightly disturbed the polydispersity index (PDI) and reduced (p ≤ 0.05) the zeta potential. All samples were within nano size (78.05—111.5 nm) and one high-pressure homogenization cycle treatment was chosen to proceed to the storage study. Over 28 days of storage at 4 and 30 °C, results showed that KSO nanoemulsion degradation was gradual in terms of increasing oxidation, droplet size, and PDI. There was no creaming and minimal flocculation until 21 days storage. The 30 °C storage maintained KSO emulsion at smaller droplet sizes, with minimal flocculation which was due to narrower PDI and higher zeta potential. Briefly, one cycle of high-pressure homogenization was sufficient to produce a stable KSO nanoemulsion, which was in small droplets, and physically stable during 28 days storage at 30 °C.

The technique of Fourier transform infrared spectroscopy is widely used to generate spectral data for use in the detection of food contaminants. Monochloropropanediol (MCPD) is a refining process-induced contaminant that is found in palm-based fats and oils. In this study, a chemometric approach was used to evaluate the relationship between the FTIR spectra and the total MCPD content of a palm-based cooking oil. A total of 156 samples were used to develop partial least squares regression (PLSR), artificial neural network (nnet), average artificial neural network (avNNET), random forest (RF) and cubist models. In addition, a consensus approach was used to generate fusion result consisted from all the model mentioned above. All the models were evaluated based on validation performed using training and testing datasets. In addition, the box plot of coefficient of determination (R2), root mean square error (RMSE), slopes and intercepts by 100 times randomization was also compared. Evaluation of performance based on the testing R2 and RMSE suggested that the cubist model predicted total MCPD content with the highest accuracy, followed by the RF, avNNET, nnet and PLSR models. The overfitting tendency was assessed based on differences in R2 and RMSE in the training and testing calibrations. The observations showed that the cubist and avNNET models possessed a certain degree of overfitting. However, the accuracy of these models in predicting the total MCPD content was high. Results of the consensus model showed that it slightly improved the accuracy of prediction as well as significantly reduced its uncertainty. The important variables derived from the cubist and RF models suggested that the wavenumbers corresponding to the MCPDs originated from the –CH=CH2 or CH=CH (990–900 cm−1) and C-Cl stretch (800–700 cm−1) regions of the FTIR spectrum data. In short, chemometrics in combination with FTIR analysis especially for the consensus model represent a potential and flexible technique for estimating the total MCPD content of refined vegetable oils.

Hand-pressed strawberry juice samples were subjected to sonication treatments (0, 15 and 30min at 20°C, 25kHz frequency). Physicochemical properties (°Brix, pH, water activity, viscosity, titratable acidity, cloud assessment and turbidity), antioxidant compounds and activity (total phenolics, ascorbic acid, anthocyanins, free radical scavenging activity), polyphenoloxidase enzyme activity, browning degree and microbial load were evaluated. Results showed non-significant changes for °Brix, pH, water activity, titratable acidity and colour parameters in sonicated samples compared to control (0min). Sonication treatments resulted in reduced viscosity and increased cloudiness and turbidity. Overall, treatment for 30min showed significant enhancement in bioactive compounds under study. Besides, sonication treatment imparted non-significant changes in polyphenoloxidase activity and in browning degree. However, sonication was incompetent in reducing microbial load. Results generated from this study were encouraging and this is expected to provide platform for future commercial applications on a pilot scale.

Soy sauce fermentation was simulated in a laboratory and subjected to 10min of sonication. A full factorial design, including different cycles, probe size, and amplitude was used. The composition of 17 free-amino acids (FAAs) was determined by the AccQ-Tag method with fluorescent detection. Main effect plots showed total FAAs extraction was favoured under continuous sonication at 100% amplitude using a 14mm diameter transducer probe, reaching 1214.2±64.3mg/100ml of total FAAs. Moreover, after 7days of fermentation, sonication treatment caused significantly higher levels (p