Sonication Temperature Research Articles

Modifi cation of Cellulose Nanocrystals with Fe<sub>2</sub> O<sub>3</sub> for Linear Alkyl-benzene Sulfonate Removal from Laundry Wastewater

This research is significant to investigate the eff ect of synthesis parameters (weight loading ratio CNCs: Fe<sub>2</sub>O<sub>3</sub>, sonication temperature, sonication time) on cellulose nanocrystals (CNCs) modified with iron oxide (Fe<sub>2</sub>O<sub>3</sub>) nanoparticles. The CNCs/Fe<sub>2</sub>O<sub>3</sub> adsorbent was synthesized via the ultrasonic-assisted chemical co-precipitation method. All synthesized samples were analysed using linear alkyl-benzene sulfonate (LAS) removal from laundry wastewater using a batch adsorption study. The CNCs/Fe<sub>2</sub>O<sub>3</sub> adsorbent was characterised using FTIR, TGA, N<sub>2</sub> sorption-desorption, and SEM-EDX analyses to understand its chemical and physical properties. The highest removal of LAS was found at a 1:1.5 ratio of CNCs: Fe<sub>2</sub>O<sub>3</sub>, 80°C of sonication temperature, and 90 min of sonication time, with ±90% removal of LAS. The FTIR analysis revealed several functional groups in the CNCs and CNCs/Fe<sub>2</sub>O<sub>3</sub> adsorbent. The CNCs showed a hydroxyl group and aromatic ring in lignin around the spectrum of 3000 – 3400 cm<sup>-1<sup></sup> and 1640 cm<sup>-1</sup>, respectively. The broad shoulder for the hydroxyl group in the CNCs was reduced to a small peak due to the formation of iron oxide. Thermal analysis from the TGA analysis showed a significant weight loss of around 50 – 200°C due to the destruction of the cellulose structure. As for the N<sub>2</sub> sorption-desorption analysis, the CNCs/Fe<sub>2</sub>O<sub>3</sub> adsorbent exhibits a larger surface area compared to the CNCs, in which the porous structure can be observed in the CNCs/Fe<sub>2</sub>O<sub>3</sub> adsorbent from the SEM morphology. Overall, the addition of Fe<sub>2</sub>O<sub>3</sub> via ultrasound-assisted coprecipitation method contributes to the development of the CNCs structure while changing the properties of the CNCs/Fe<sub>2</sub>O<sub>3</sub> as a potential adsorbent for LAS in the laundry wastewater application, thereby offering a practical solution for wastewater treatment.

Lamellarity of ultrasound assisted formations of dipalmitoyl-lecithin vesicles.

Formation of unilamellae of fully hydrated dipalmitoylphosphatidylcholine (DPPC) was induced by a horn sonicator from multilamellar vesicles and followed by time-resolved synchrotron small angle X-ray scattering and direct visual morphological investigations by the means of transmission electron-microscopy combined with freeze-fracture. Without incubation the ultrasonication causes continuous increasing in temperature and transformation from the gel to rippled gel structures, then reaching the main transition, the formfactor of unilamellar structure appeared. The ultrasonication resulted in different layer formations at the characteristic temperatures of the gel (20°C), rippled gel (38°C), and liquid crystalline (45°C) phases of the system. At 20°C irregular stacks of multi and oligolamellar lamellae were shaped even after three hours of ultrasonication. At 38 and 45°C the ultrasound induced dominantly unilamellar vesicles (ULVs) in a short time (10 and 3 - 5min, respectively, under typical ultrasound treatments in the general laboratory practice). After the end of the ultrasonication, irregular layer formations with defects structures increased when the temperature of sonication was above the chain melting temperature of the hydrated DPPC system, underlining the importance of optimized sonication processes.

Acoustic cavitation assisted synthesis of PCDs@PVA composite film for UV shielding, intelligent pH detection, information encryption and food packing applications

Excessive exposure to UV and high-energy blue light (HEBL) can severely damage the skin and eyes. Therefore, it is essential to protect our bodies from UV and HEBL radiation. We created PEG-derived carbon dots (PCDs) using the acoustic cavitation approach in order to completely block UV and HEBL. The influence of different experimental parameters such as sonication time, amplitude, and temperature on the PCDs is examined. The optimized PCDs are found to have an average diameter ranging from 5 to 9 nm, contingent upon the preparation circumstances, and to have a quantum yield (QY) of 14–16 %. The PCDs vivid colour and simultaneous UV and HEBL absorption properties allowed the PVA film containing 0.120 wt% of PCDs to demonstrate outstanding blocking efficiency, with 99.9 % blocking in HEBL and 100 % blocking in UV-C, UV-B, and UV-A. The photoluminescence (PL) behaviour of PCDs is greatly reduced by Fe3+ ions because of strong excited state electron transfer. This fluorescent “turn-off” behaviour towards Fe3+ is highly selective and sensitive with a limit of detection (LoD) of 0.366 μM. Paper-based sensors incorporating PCDs are developed for the rapid and accurate detection of Fe3+ in surface water, wastewater treatment plant effluent, and tap water, leveraging their excellent sensitivity and selectivity towards Fe3+. The characteristics of ink-free patterned substrates are displayed by PCDs scattered across a PVA matrix, which makes them useful for the non-destructive acquisition and recognition of latent fingerprints (LFPs). A flexible, transparent film is produced when a LFP is exposed to a PCDs@PVA solution. In this film, a steady luminous fingerprint with specific ridge characteristics that aid in personal recognition is seen. This method shows promise for lifting and identifying long-exposed LFPs from various surfaces without causing damage. It is believed that the interfacial segregation of PCDs inside the PVA matrix during the film production process serves as a mechanism for LFP collection and visualization. The YOLOv8x program, which utilizes deep convolutional neural networks, is employed to analyze the discernible features present in fingerprints (FPs). Notably, their exceptional flexibility, foldability, and sustainability create new opportunities for use in the anti-counterfeiting (AC) field. Because of its remarkable fluorescence stability, it may be a viable substitute for conventional fluorescent inks. Fresh green apples are observed over time after being coated with 0.120 wt% PCDs@PVA and PVA. Virtual assessments indicated that the 0.120 wt% PCDs@PVA film coating significantly reduced weight and moisture loss, effectively inhibiting fungal growth and spoilage for over 25 days at room temperature (RT). Overall, the results clearly show that the PCDs@PVA film is easy to make, flexible, safe for the environment, and resistant to photodegradation. Hemolysis, and blood clotting exhibited favorable biocompatibility and nontoxicity.

How ultrasonication treatment drives the interplay between lysinoalanine inhibition and conformational performances: A case study on alkali-extracted rice residue protein isolate.

Lysinoalanine (LAL) formed during alkaline extraction of rice residue protein (RRPI), which limited its application in the food industry. In this study, the influence of ultrasonication parameters (acoustic power density, ultrasound duration, and ultrasound temperature) on the inhibition of LAL formation and conformational attributes of RRPI during alkaline extraction was elucidated. The results suggested that the acoustic power density substantially modified the chemical interaction forces between RRPI molecules. At a power density of 60W/L, the ionic bonds (14.37%) and hydrophobic interactions (49.28%) reached the maximum, while hydrogen bonds (15.29%) and disulfide bonds (21.06%) reached the minimum. Moreover, acoustic power density at 60W/L caused a decrease of 18.02% and 12.2% in α-helix, and β-turn, respectively, shifting toward β-sheet, random coil, with an increase of 7.31% and 36.16%. Following ultrasonication, the protein particle size distribution curve shifted in the direction of smaller particle size, forming a relatively concentrated and uniform protein distribution. Sonication power, temperature, and time decreased the absolute value of Zeta potential. Furthermore, significant destruction in microstructure was elicited by sonication, which made the structure looser and more microparticles. Pearson correlation analysis suggested that the inhibition in the levels of LAL was most influenced by the increase of sulfhydryl groups and Zeta potential, as well as the reduction of α-helix content, in which the alteration of the total sulfhydryl group content had a great impact on the Zeta potential and the free sulfhydryl group. The principal component analysis demonstrated a notable correlation between the total sulfhydryl group and both the Zeta potential and free sulfhydryl group of RRPI.

Synergistic effect of drying methods and ultrasonication on natural deep eutectic solvent extraction of phytochemicals from African spinach (Amaranthus hybridus) stem.

The study evaluated the combined effects of drying methods (air drying [AD], hot AD [HAD], microwave drying [MD], and freeze-drying [FD]) and ultrasonication parameters (sonication temperature [STemp]: 40, 50, and 60°C) and heating time (STime: 60 and 120min) on natural deep eutectic solvent (NADES) extraction of phytochemicals from Amaranthus hybridus stem. Increasing the STemp increased the extraction yield (ECY) of the phytochemicals for all drying methods but increase in the heating time reduced the ECY slightly. MD combined with 60°C ST showed the highest ECY (53%), whereas HAD combined with 40°C ST had the lowest ECY (18%). At 60min heating time, increasing the ST from 40 to 50°C increased the total phenolic content (TPC) in the extract for most drying methods except MD, and a sonication time of 120min showed a slightly higher TPC, especially for MD samples. At 60min sonication, total flavonoid content (TFC, 800mgQE/g) was highest for AD plus 50°C ST and lowest for AD combined with 60°C (100mgQE/g), whereas for 120min sonication, MD and AD with 50°C showed the highest TFC (690mgQE/g). FD retained better some of the vitamins (thiamine, riboflavin, niacin) but MD retained better vitamin C. The antioxidant capacity was not so much different among the drying methods except for FD, which showed lower values. These results provide a theoretical basis for the synergistic applications of drying and ultrasonication during NADES extraction of phytochemicals from Amaranthus hybridus.

Optimized analytical strategy based on high-resolution mass spectrometry for unveiling associations between long-term chemical exposome in hair and Alzheimer’s disease

Exposure to environmental pollutants or contaminants is correlated with detrimental effects on human health, such as neurodegenerative diseases. Adopting hair as a biological matrix for biomonitoring is a significant innovation, since it can reflect the long-term chemical exposome, spanning months to years. However, only a limited number of studies have developed analytical strategies for profiling the chemical exposome in this heterogeneous biological matrix. In this study, a systematic investigation of the chemical extraction procedure from human hair was conducted, using a design of experiments and a high-resolution mass spectrometry (HRMS)-based suspect screening approach. The PlackettBurman (PB) design was applied to identify the significant variables influencing the number of detected features. Then, a central composite design was implemented to optimize the levels of each identified significant variable. Under the optimal conditions—15-minute pulverization, 25 mg of hair weight, 40 min of sonication, and a sonication temperature of 35 °C—approximately 32,000 and 15,000 aligned features were detected in positive and negative ion modes, respectively. This optimized analytical procedure was applied to hair samples from patients with Alzheimer's disease (AD) and individuals with normal cognitive function. Overall, 307 chemicals were identified using the suspect screening approach, with 37 chemicals differentiating patients with AD from controls. This study not only optimized an analytical procedure for characterizing the long-term chemical exposome in human hair but also explored the associations between AD and environmental factors.

Quantitative analysis and health risk assessment of selected heavy metals in pet food samples using ultrasound assisted hydrogen peroxide extraction followed by ICP-OES analysis

There is a lack of information regarding the presence of heavy metals in feed ingredients for animals. Therefore, this study examines 10 feed samples collected from commercial pet food in South African market. The optimal working parameters for ultrasound assisted hydrogen peroxide extraction (UA-HPE) confirmed by multivariate optimization were sonication temperature at 80 °C for 60 min, sample mass of 0.1 g, and H2O2 concentration of 5 mol/L. The UA-HPE results demonstrated high accuracy of (>95%), reproducibility (≤1.9%), low method of detection limits (0.3498 and 0.49 μg/g), and strong linearity as confirmed by regression analysis. The environmental friendliness of the UA-HPE method was assessed using AGREEPrep metric tool that resulted with a score of 0.74. The concentration levels of Cd, Pb and As, ranged between 0.86 and 11.34, 4.50–11.45, and 2.61–12.5 μg/g, respectively greater than the standardized limits, whilst Cr, and Sn were below the limits of detection in all pet food. The health index calculations (HI > 1) revealed that the cat, dog, and horse feed pose health risk for animal consumption. Consequently, this study demonstrated a green, efficient, and cost-effective method for the analysis of animal feed with high accuracy.

Comparative analysis of C n2 estimation methods for sonic anemometer data

Wind speed and sonic temperature measured with ultrasonic anemometers are often utilized to estimate the refractive index structure parameter C n 2, a vital parameter for optical propagation. In this work, we compare four methods to estimate C n 2 from C T 2, using the same temporal sonic temperature data streams for two separated sonic anemometers on a homogenous path. Values of C n 2 obtained with these four methods using field trial data are compared to those from a commercial scintillometer and from the differential image motion method using a grid of light sources positioned at the end of a common path. In addition to the comparison between the methods, we also consider appropriate error bars for C n 2 based on sonic temperature considering only the errors from having a finite number of turbulent samples. The Bayesian and power spectral methods were found to give adequate estimates for strong turbulence levels but consistently overestimated the C n 2 for weak turbulence. The nearest neighbors and structure function methods performed well under all turbulence strengths tested.

Quality Attributes of Ultrasound-Treated Prebiotic Fibre-Enriched Strawberry Juice

Strawberries are amongst the most desirable fruits with a rich flavour, appealing taste, high fibre content and many other health benefits. Diets rich in dietary fibre provide many health benefits. In the present work, strawberry juice was prepared in two batches, one with preservative sodium benzoate (treated) and another without (untreated). Prebiotic fibre i.e., apple pomace was added to both batches in concentrations of 5%, 8%, and 11%. Dietary fibre in both batches was analysed by enzymatic-gravimetric method. The additional analyses included pH, acidity, total soluble solids (TSS), colour, total phenolic content (TPC), antioxidant, ascorbic acid, anthocyanin, microbial and sensory parameters. Dietary fibre was increased significantly in all the treatments as well as TS, while pH and acidity were not affected. Ascorbic acid, anthocyanin, antioxidant, total phenolic content, and sensory analysis of treatment 2 (T2, 8% treated) showed the best results. The microbial load on the other hand increased more in the untreated batch. The T2 treatment of both the batches was given ultrasound treatment. The sonication temperature (20 oC), frequency (20 kHz), and power (650 W) were kept the same, and the time was varied (0, 15, 30, 45, and 60 minutes). Dietary fibre showed a slight increase as fibre became more soluble by cavitation in sonication while pH acidity and TSS were not significantly affected. Anthocyanin increased, but only at lower sonication times. Antioxidants, total phenols, and colour and sensory parameters were significantly improved with sonication time. Similarly, the microbial load was reduced significantly.

Using the Sensible Heat Flux Eddy Covariance-Based Exchange Coefficient to Calculate Latent Heat Flux from Moisture Mean Gradients Over Snow

In absence of the high-frequency measurements of wind components, sonic temperature and water vapour required by the eddy covariance (EC) method, Monin–Obukhov similarity theory (MOST) is often used to calculate heat fluxes. However, MOST requires assumptions of stability corrections and roughness lengths. In most environments and weather situations, roughness length and stability corrections have high uncertainty. Here, we revisit the modified Bowen-ratio method, which we call C-method, to calculate the latent heat flux over snow. In the absence of high-frequency water vapour measurements, we use sonic anemometer data, which have become much more standard. This method uses the exchange coefficient for sensible heat flux to estimate latent-heat flux. Theory predicts the two exchange coefficients to be equal and the method avoids assuming roughness lengths and stability corrections. We apply this method to two datasets from high mountain (Alps) and polar (Antarctica) environments and compare it with MOST and the three-layer model (3LM). We show that roughness length has a great impact on heat fluxes calculated using MOST and that different calculation methods over snow lead to very different results. Instead, the 3LM leads to good results, in part due to the fact that it avoids roughness length assumptions to calculate heat fluxes. The C-method presented performs overall better or comparable to established MOST with different stability corrections and provides results comparable to the direct EC method. An application of this method is provided for a new station installed in the Pamir mountains.

A new 1D Mn(II) coordination polymer: Synthesis, crystal structure, hirshfeld surface analysis and molecular docking studies

The synthesis of novel metal-organic coordination polymers (MOCP) with the chemical formula [Mn2L (SCN)2(OH)2]3·CH3OH [L = 1,5-bis(pyridine-4-ylmethylene) carbonohydrazide] {1} was accomplished using two different techniques: solvothermal and sonochemical ultrasonic-assisted. An investigation was carried out to examine the impact of various factors such as reaction time, sonication power, temperature, and reactant concentration on the morphology and size of the crystals. Interestingly, it was found that sonication power and temperature did not affect the crystals’ morphology and size. To further analyze the prepared microcrystals of MOCPs, SEM was utilized to examine their surface morphology, and XRD, elemental evaluation composition. The identification of the functional groups present in the prepared Mn-MOCPs was accomplished through the utilization of FT-IR spectroscopy. Subsequently, the calcination of 1 in an air atmosphere at 650 °C led to the formation of Mn3O4 nanoparticles. The geometric and electronic structure of the MOCPs was evaluated using density functional theory (DFT). The utilization of molecular docking methodologies demonstrated that the best cavity of the human androgen receptor possessed an interaction energy of −116.3 kJ mol−1. This energy encompassed a combination of both bonding and non-bonding interactions. The Results showed that steric interaction and electrostatic potential are the main interactions in AR polymer and Mn(II). These interactions in the defined cavity indicated that this polymer could be an effective anti-prostate candidate, because AR is involved in the growth of prostate cancer cells, and these interactions indicated the inhibition of prostate cancer cell growth.

Cyclodextrin-assisted extraction as a green alternative for the recovery of phenolic compounds from Helichrysum plicatum DC. flowers

Helichrysum plicatum DC. is an important source of bioactive secondary metabolites with a variety of pharmacological activities. To obtain highly potent extracts with the maximum level of phenolic glycosides and total phenolic compounds, this study aimed to establish an eco-friendly cyclodextrin-assisted extraction procedure from H. plicatum flowers. Response surface methodology (RSM) and artificial neural networks (ANN) were used to optimize the ultrasound-assisted extraction (UAE) by evaluating sonication temperature, time, concentrations of ethanol and two types of cyclodextrins (β-CD and HP-β-CD). Comprehensive statistical validation revealed better predicting capacity of the created ANN models compared to the traditional RSM. The highest positive effects were observed for the ethanol concentration and the extraction temperature. Both types of CDs showed not only positive impact on the extraction efficiency of bioactives, but also on their stability after exposure to stress conditions. Molecular docking was used to additionally reveal interactions within the studied inclusion complexes. Conclusively, the HP-β-CD-assisted extraction conducted at 80 °C for 40 min, utilizing 62% ethanol and 1.60% HP-β-CD, was the most optimal due to its ability to minimize ethanol consumption while achieving maximal recovery of bioactives, in comparison to β-CD (80%). Under these optimized conditions, experimentally obtained results for isoquercitrin (0.50 mg/g DW), kaempferol-3-O-glucoside (5.83 mg/g DW), apigenin-7-O-glucoside (1.34 mg/g DW), and total polyphenolic (28.51 mg GAE/g DW) content were in agreement with the values predicted by ANN.

Formulation, optimization and full characterization of mirtazapine loaded aquasomes: a new technique to boost antidepressant effects

Objective The development of Mirtazapine (MRT)-loaded aquasomes by co-precipitation sonication technique to boost the antidepressant potential of MRT. Methodology MRT-loaded aquasomes formulations were prepared using Box–Behnken design to investigate the effect of independent factors including sonication time (X1), sonication temperature (X2), and sugar concentration (X3) on the dependent variables as particle size and drug loading efficiency. The formulation of the optimized formula was verified by Fourier Transform Infrared Spectroscopy (FTIR), Differential Scanning Calorimetry (DSC), and X-ray Powder Diffraction (XRPD). Furthermore, the morphology of the formula was evaluated by Transmission Electron Microscopy (TEM). The optimum MRT- loaded aquasomes was assessed for physiochemical properties, in vitro MRT release and in vivo antidepressant effects in mice model. Results The results revealed that the optimized formula showed a small particle size of 202.7 ± 3.7 nm and a high loading efficiency of 77.65 ± 2.6%. Thermal DSC and XRPD studies demonstrated the amorphous nature of MRT-loaded aquasomes. The in vitro study demonstrated sustained release of F (opt) 88.16% after 8 h, compared with plain MRT release of 63.06% after 1 h. Mice treated with MRT-loaded aquasomes demonstrated reduced immobility time in behavioral analysis to 37% with MRT-loaded aquasomes, while plain MRT reduced it to 55%. Conclusion These results confirmed that the antidepressant effect of MRT was significantly boosted in formulated aquasomes, and thereby they provide a promising carrier nano vesicular system for effective delivery of MRT.

Robust pretreatment in combination with ultrasound-assisted surfactant to improve the enzymatic hydrolysis of Eucalyptus pellita

Alkaline pretreatment stands out as a valuable strategy in biomass conversion to overcome the recalcitrance of biomass by removing lignin and a part of hemicellulose. This enhances enzyme accessibility and promotes saccharification. However, increasing the alkaline concentration to enhance the delignification and improve glucose yield together presents inherent limitations. In this experiment the amount of delignification and glucose yield resulting from surfactant associated with sonication during mild alkaline pretreatment of Eucalyptus pellita was investigated. Also, the effect of various factors (sonication temperature and surfactant immersion time) on delignification and glucose yield were examined. The results demonstrated that surfactant associated with sonication pretreatment could overcome the limitation of alkaline pretreatment and could increase the amount of delignification alongside enzymatic hydrolysis glucose yield of Eucalyptus pellita wood by around 90%. The findings indicated that surfactant-assisted with sonication during mild alkaline pretreatment of Eucalyptus pellita (i.e., hardwood) could be recommended as a supporting pretreatment method for the production of monomeric sugars.

Optimization of Ultrasound-Assisted Protein Extraction from Watermelon Seeds: Taguchi Approach

Nowadays, there has been a growing interest in finding alternative protein sources for both the food industry and nutritional purposes. Protein experts have recently focused on investigating watermelon seeds, which are not only a food processing waste but also contain high-quality proteins. Therefore, this study aimed to achieve maximum protein extraction from watermelon seeds using an ultrasound-assisted extraction process. The study investigated the effects of pH (A; 7─11), sonication temperature (B; 30─60 °C), and sonication time (C; 5─15 min) on protein recovery to develop a Taguchi model. Through optimization, the optimal conditions for maximum protein recovery (85.81%) within the range of process variables were found to be 11 pH, 45 °C sonication temperature, and 10 min sonication time (A3B2C2). An analysis of variance (ANOVA) revealed that pH and sonication temperature significantly influenced the protein extraction process (P

Synthesis of Silica Nanoparticle Made from Lampung Pumice Modified with Sonication Parameters for Size and Purity

This study aims to determine the effect of sonication process parameters on the formation of the size and purity of silica from the synthesis of pumice. Pumice reflux process using NaOH for 24 hrs. Titrate using 5M H2SO4 solution to pH 7 and a white gel is formed. The residue was washed using distilled water and dried at 100 oC for 24 hrs. The residue was then stirred with 1M HCl solution for 4 hrs. After the synthesis process, the silica powder was then subjected to a sonication process with temperature variations of 30, 60, and 80 oC for 1, 2, and 3 hrs. The purity of silica was evaluated from the results of x-ray fluorescence, x-ray defragment, and SEM test results. The results of the analysis of variance showed that the independent variable temperature contributed 67.25% and had a significant effect on the SiO2 concentration. The two sonication variables, temperature and time, contributed 50.31% and 46.24%, respectively. The variables significant effect on particle size. Other independent variables affect the SiO2 concentration by 10.36%. The sonication process can increassed concentration and reduced particle size of silica synthesized by selecting the appropriate independent variable.

ULTRASOUND-ASSISTED EXTRACTION OF STARCH FROM OIL PALM TRUNK: AN OPTIMIZATION BY RESPONSE SURFACE METHODOLOGY

Higher production of palm oil in Malaysia has resulted in a significant amount of oil palm biomass including oil palm trunk (OPT). OPT has been studied as an alternative starch source. To date, reports on the extraction of starch from OPT using ultrasound-assisted extraction (UAE) are limited. The application of UAE is considered to be a simpler and effective way in starch extraction compared to conventional extraction methods. This study aims to investigate the potential of ultrasound-assisted extraction to extract starch from OPT, and optimization using response surface methodology. A three-factor central composite design (CCD) was designed to determine the effects of variables on response. The three variables involved in the study, namely: sonication temperature (45-65°C), sonication time (30-60 min) and sodium metabisulfite concentration (0.5-1.5% w/v). All of the data were analysed using Analysis of Variance (ANOVA). The R2 value (95.6%) and model (p <0.0001), indicating the acceptability of the model and significance in the interaction between independent variables. At the optimum conditions of 52.84°C temperature, 30.66 min exposure time and 0.58% w/v sodium metabisulfite concentration, the starch yield achieved its optimum value by 34.21%. Therefore, this study proved the potential of UAE in extracting higher OPT starch.

Ultrasonication/dynamic maceration-assisted extraction method as a novel combined approach for recovery of phenolic compounds from pomegranate peel.

According to recent studies, pomegranate peel (PP) has the potential to be inverted from environmental pollutant waste to wealth due to possessing valuable phenolic compounds at a higher amount compared to edible parts. So far, different types of biological activities such as antimutagenic, antiproliferative, anti-inflammatory, and chemo-preventive properties were stated for pomegranate peel extract (PPE) according to chemical composition. In the present research, the probable intensifying effects of two extraction methods and optimum conditions for novel combined method of ultrasonication and dynamic maceration-assisted extraction of PPE using response surface methodology (RSM) were determined. A Box-Behnken Design (BBD) was employed to optimize three extraction variables, including sonication time (X1), sonication temperature (X2), and stirring speed (X3) for the achievement of high extraction yield of the phenolic compounds and antioxidant activity. The optimized conditions to obtain maximum extraction efficiency were determined as X1 = 70 min, X2 = 61.8°C, and X3 = 1000 rpm. The experimental values were in line with the values anticipated by RSM models, which indicates the appropriateness of the applied quadratic model and the accomplishment of RSM in optimizing the extraction conditions. The results suggest that the extraction of PPE by mix of ultrasonication as a modern method and dynamic maceration as a conventional method could improve its bioactive extractability and the obtained values were higher than any of the methods used. In other words, these two methods together have intensifying effects in increasing extraction efficiency which could further be utilized in food and agricultural industry.

반응표면분석법을 이용한 유자 과피 내 휘발성 성분의 초음파 추출 조건 최적화

This is study was investigated the optimization of ultrasound system for the extraction of volatile compounds in Citrus junos (yuzu) using response surface methodology (RSM). The independent variables were ultrasound amplitude (X1), temperature (X2), time (X3), and response variables were the total peak area of volatile compounds (Y1) and the peak area of limonene (Y2) obtained by gas chromatography-mass spectrometry. Based on the results predicted optimization extraction conditions in Y1 were the ultrasound amplitude 65.56 %, sonication temperature 62.14℃, sonication time 57.85min. While the predicted optimization extraction conditions in Y2 were the ultrasound amplitude 74.94 %, sonication temperature 64.12℃, sonication time 61.00min.

D-Limonene as a Promising Green Solvent for the Detachment of End-of-Life Photovoltaic Solar Panels under Sonication

Consumption of photovoltaic solar panels is expected to increase, so the growing amount of end-of-life (EOL) solar panels will require large spaces for their disposal, which at the moment costs around 200 euros/ton. Thus, a proper treatment technique to recover secondary materials from this waste, which are mainly copper, aluminum, silicon, high-transmittance glass, and plastics, must be developed. The last three components are strongly attached to each other; hence, their detachment is necessary for recovery. To achieve this objective, a chemical route was chosen; in fact, solvent extraction is highly recommended, as it has a high separation efficiency. In this study, D-limonene as a bio-solvent was examined for detaching different components of solar panels from each other. A high efficiency for ethylene vinyl acetate (EVA) dissolution and components’ detachment under different conditions was achieved with the help of sonication power. The effects of sonication power, thermal pre-treatment, temperature, and contact time on detachment percentage were examined, and the best conditions (namely, no pre-treatment, medium sonication power of 450 W, temperature of 60 °C, and a contact time of 120 min) were found for total component detachment. Additionally, the recyclability of D-limonene was examined, and it was established that the solvent could carry out 100% component detachment for three cycles.