Quality and consumer acceptance of radio frequency and traditional heat pasteurised kiwi puree during storage

To explore the feasibility of using radio frequency (RF) heating as a method to process kiwi puree, this study compared the effects of RF heating with traditional heat pasteurisation (TP) on various properties of kiwi puree. RF treatment completely inactivate of microbes in kiwi puree, with total aerobic bacteria counts (TAC) decreased by 4.81 log CFU mL^?1 and yeast and mould counts (YMC) decreased by 2.62 log CFU mL^?1, which are similar to TP treatment. During the 7 weeks’ storage, RF‐treated puree showed retarded growth of microbes. The pH, titratable acidity and °Brix values of RF‐treated samples were significantly different from those of the control. The vitamin C, total phenolic compounds and antioxidant capacity of RF‐treated samples were significantly higher than those of TP‐treated samples during storage. RF‐treated sample retained better colour than TP‐treated sample throughout storage. The customer satisfaction analysis indicated that consumers prefer RF‐treated kiwi puree than TP‐treated samples. These findings suggest that RF heating has potential applications in processing of kiwi puree or similar products.     

Near-infrared spectroscopy coupled chemometric algorithms for prediction of antioxidant activity of black goji berries (<Emphasis Type="Italic">Lycium ruthenicum</Emphasis> Murr.)

In this study, near-infrared (NIR) spectroscopy coupled with partial least-squares (PLS) regression and various efficient variable selection algorithms, synergy interval-PLS (Si-PLS), backward interval PLS (Bi-PLS) and genetic algorithm-PLS (GA-PLS) were applied comparatively for the prediction of antioxidant activity in black wolfberry (BW). The eight assays were used for quantification of antioxidant content. The developed models were assessed using correlation coefficients (R²) of the calibration (Cal.) and prediction (Pre.); root mean square error of prediction, RMSEP; standard Error of Cross-Validation, RMSECV and residual predictive deviation, RPD. The performance of the built model greatly improved by the application of Si-PLS, Bi-PLS and GA-PLS compared with full spectrum PLS. The R² values determined for calibration and prediction set ranged from 0.8479 to 0.9696 and 0.8401 to 0.9638, respectively. These findings revealed that NIR spectroscopy combined with chemometric algorithms can be used for quantification of antioxidant activity in BW samples.     

Reactions with the Arylhydrazones of some α-cyanoketones

Ethereal diazomethane reacts with the arylhydrazones of mesoxalic acid dinitrile 1a–c and of ethyl α-cyanoglyoxalate 2b, d–g to yield the methylarylhydrazones 3a–c and 4a–e respectively. Treatment of 4b–e with phenylmagnesium bromide results in the formation of the imino derivatives 5a–d . Whereas 2a–g react with phenylhydrazine to yield the aminopyrazoles 8a–g , the hydrazides 10a, b are formed on treatment of 4c, e with hydrazine hydrate. 1a–c react with hydrazine hydrate and with phenylhydrazine to yield 3-amino-4-arylhydrazono-5-imino-2-pyrazoline derivatives 11a–f 11a, b react with acrylonitrile to yield 3-amino-1(β-cyanoethyl)-4-arylhydrazono-5-imino-2-pyrazoline derivatives 12a, b which can be readily cyclised to the pyrazolo[3,2-b]pyrimidine derivatives 13a, b by the action of hot acetic acid.     

Output Linearization of Single-Input Single-Output Fuzzy System to Improve Accuracy and Performance

For fuzzy systems to be implemented effectively, the fuzzy membership function (MF) is essential. A fuzzy system (FS) that implements precise input and output MFs is presented to enhance the performance and accuracy of single-input single-output (SISO) FSs and introduce the most applicable input and output MFs protocol to linearize the fuzzy system’s output. Utilizing a variety of non-linear techniques, a SISO FS is simulated. The results of FS experiments conducted in comparable conditions are then compared. The simulated results and the results of the experimental setup agree fairly well. The findings of the suggested model demonstrate that the relative error is abated to a sufficient range (≤ ± 10%) and that the mean absolute percentage error (MPAE) is reduced by around 66.2%. The proposed strategy to reduce MAPE using an FS improves the system’s performance and control accuracy. By using the best input and output MFs protocol, the energy and financial efficiency of every SISO FS can be improved with very little tuning of MFs. The proposed fuzzy system performed far better than other modern days approaches available in the literature.     

Investigation of Gate Material Engineering in Junctionless Transistor for Digital and Analog Applications

Silicon - In this paper, we propose dual material gate with dual-k dielectric gate oxide double gate junctionless transistor ‘DMG-DK-JLT’ for significant enhancement of performance. We...