Development of chewing gum model system from phytocompounds of black jamun (Syzygium cumini) pulp and study of its dissolution kinetics.

Black jamun is a rich source of polyphenol and anthocyanin that provides major potential as a natural pigment. The different concentrations of encapsulated jamun pulp phytocompounds (0, 0.5, 1, 3 and 5 g 100 g-1) were incorporated with chewing gum for the development of functional food production. The study showed among variants, 5 g 100 g-1 encapsulates of black jamun pulp extract-based chewing gum (BJE-CG) showed better color stability and texture properties caused by the availability of alginate and guar gum in the encapsulates. The results revealed the dissolution behaviour of 5 g 100 g-1 based BJE-CG has a greater (P < 0.05) dissolution of total anthocyanin (TAC) and phenolic content (TPC). The dissolution kinetics model including the Korsmeyer-Peppas model, Higuchi model and Gunes model were statistically tested the dissolution rate of TAC and TPC. The Korsmeyer-Peppas model for TAC and Gunes model for TPC were found the best suitable through R2 (0.995 and 0.991) and the lowest χ2 (0.0098 and 0.0361). The dissolution kinetics study indicated the 5 g 100 g-1 based BJE-CG has the most suitable fitting in dissolution kinetics via simulated salivary fluid at 10 min. The application of the encapsulated phytocompounds shows a better solution for food and pharma industries to deliver decent plant-based pigment and phytocompounds in the food product.

Ultrasound assisted extraction of red cabbage and encapsulation by freeze-drying: moisture sorption isotherms and thermodynamic characteristics of encapsulate.

In the present study encapsulation of ultrasound assisted red cabbage extract was carried out using four different carrier agents such as maltodextrin, gum arbic, xanthan gum, and gellan gum. Among the four hydrocolloids investigated, maltodextrin was found to have the least destructive effect on anthocyanin content (14.87 mg C3G/g dw), TPC (54.51 ± 0.09 mg GAE/g dw), TFC (19.82 Mg RE/g dw) and antioxidant activity (74.15%) upon freeze-drying. Subsequently a storage study was conducted using maltodextrin as carrier agent at 25-50 °C. The Clausius-Clapeyron equation was used to evaluate the net isosteric heat (qst) of water adsorption. The differential entropy (ΔS) and qst decreased from 82.298 to 38.628 J/mol, and 27.518 kJ/mol to 12.505 kJ/mol, respectively as the moisture content increased from 2 to 14%. The value of isokinetic energy and Gibb's free energy were found to be 364.88 and - 1.596 kJ/mol for freeze dried red cabbage.

Advances of nanofluid in food processing: Preparation, thermophysical properties, and applications.

Nanofluids (NFs) are homogenous mixes of solid nanoparticles as well as base fluid in which the size of the solid nanoparticles (NPs) is smaller than 100 nm. These solid NPs are intended to enhance the thermophysical characteristics and heat transmission attributes of the base fluid. The thermophysical characteristics of nanofluids are influenced by their density, viscosity, thermal conductivity and specific heat. These colloidal solutions of nanofluids include condensed nanomaterials such as nanoparticles, nanotubes, nanofibers, nanowires, nanosheets, and nanorods. The effectiveness of NF is significantly influenced by temperature, shape, size, type, as well as the concentration of NPs or the thermal characteristics of the base fluid. Compared to oxide NPs, metal NPs have superior thermal conductivity. Many of these investigations revealed that hybrid NFs had enhanced thermal conductivity than traditional ones. Thermal conductivity values are reduced by the formation of clusters in nanofluid. When compared to spherically formed nanoparticles, cylindrically shaped nanoparticles produced superior outcomes. In food industries, NFs could be used in various unit operations where heat needs to be transported from a heating or cooling medium to food product using a heat exchanger, as in freezing, pasteurization, refrigeration, drying, thawing, sterilization, and evaporation. The objective of this review is to analyze the recent developments in the research of nanofluids including innovative production methods, stability assessment, enhancement approaches, and thermophysical properties of nanofluids.

Evaluation of cooking characteristics, textural, structural and bioactive properties of button mushroom and chickpea starch enriched noodles.

The present study was conducted out to develop nutritionally enriched noodles by supplementing wheat flour with mushroom and chickpea starch at different concentrations and its effect on physico-chemical, bioactive, cooking, microbial and sensory properties, morphological and textural properties has been investigated. The prepared noodles contained high levels of protein, and low levels of carbohydrate, energy with the incorporation of mushroom flour and chickpea starch concentration. The lightness (L*) (71.79-53.84) decreased and yellowness (b*) (19.33-31.36) and redness (a*) (1.91-5.35) increased with the incorporation of mushroom flour and chickpea starch. The optimum cooking time decreased while as the water absorption capacity and cooking loss increased with increase in mushroom flour and chickpea starch concentration. The microstructure study and textural properties depicted the clear picture of protein network, with smooth outer surface, and the decrease in hardness with increased concentration of mushroom flour and chickpea starch. XRD and DSC results revealed that the prepared noodles contained more complete crystallites and high fraction of crystalline region and the linear increase in the gelatinization temperature with increase in composite flour concentration. The microbial analysis of noodles showed the decrease in microbial growth with the incorporation of composite flour.

Dragon fruit peel extract microcapsule incorporated pearl millet and dragon fruit pulp powder based functional pasta: formulation, characterization, and release kinetics study.

The pearl millet based functional pasta was formulated by incorporating freeze dried dragon fruit pulp powder and 2% (w/w) microcapsule containing dragon fruit peel extract. The control pasta consisted of 100% pearl millet flour. The other four functional pasta samples consisted of pearl millet and freeze-dried dragon fruit pulp powder (DFP) in the ratio of 95:5, 90:10, 85:15, and 80:20 (w/w), respectively. The inclusion of dragon fruit powder enhanced the swelling index, water absorption index, color, and functional properties of the pasta. The total phenolic content (0.24-0.43 mg GAE/100 g d.w.), antioxidant activity (17.76-30.67%), and betacyanin content (0.149-0.152 mg/g d.w.) of the pasta was increased with the increase of dragon fruit pulp level in the formulation. The release kinetics of phenolic compounds into the simulated gastric juice was modeled using Higuchi and Peppas- Sahlin models. Out of these two models Peppas- Sahlin model ( R 2 > 0.980 and R M S E < 1.527 ) found to predict the release of phenolics into simulated gastric juice with respect to time of release when compared with Higuchi model ( R 2 > 0.964 and R M S E < 6.126 ). The onset of transition temperature and enthalpy of gelatinization of pasta samples was found to be in the range of 66.321-74.681 °C and increased with the increase of dragon fruit level in the formulation.

Starch-based noodles: Current technologies, properties, and challenges.

Starch noodles are gaining interest due to the massive popularity of gluten-free foods. Modified starch is generally used for noodle production due to the functional limitations of native starches. Raw materials, methods, key processing steps, additives, cooking, and textural properties determine the quality of starch noodles. The introduction of traditional, novel, and natural chemical additives used in starch noodles and their potential effects also impacts noodle quality. This review summarizes the current knowledge of the native and modified starch as raw materials and key processing steps for the production of starch noodles. Further, this article aimed to comprehensively collate some of the vital information published on the thermal, pasting, cooking, and textural properties of starch noodles. Technological, nutritional, and sensory challenges during the development of starch noodles are well discussed. Due to the increasing demands of consumers for safe food items with a long shelf life, the development of starch noodles and other convenience food products has increased. Also, the incorporation of modified starches overcomes the shortcomings of native starches, such as lack of viscosity and thickening power, retrogradation characteristics, or hydrophobicity. Starch can improve the stability of the dough structure but reduces the strength and resistance to deformation of the dough. Some technological, sensory, and nutritional challenges also impact the production process.

Effect of Maltodextrin and Soy Protein Isolate on the Physicochemical and Flow Properties of Button Mushroom Powder.

In this investigation, the effect of different drying techniques, such as freeze-drying and cabinet drying, with two different carrier agents, such as maltodextrin (MD) and soy protein isolate (SPI), at different levels (10, 15, and 20%) on button mushrooms has been revealed. The results showed that the button mushroom powders (BMPs) formulated with SPI as a carrier agent had significantly higher powder yield, hygroscopicity, L *, a *, and b * values, whereas BMP formulated with MD had significantly higher water activity, solubility index, tapped density, bulk density, and flowability. The highest retention of bioactive compounds was reported in freeze-dried mushroom powder compared to cabinet dried powder using SPI as a carrier agent. Fourier transform infrared (FTIR) analysis confirmed that certain additional peaks were produced in the mushroom button powder-containing SPI (1,035-3,271 cm-1) and MD (930-3,220 cm-1). Thus, the results revealed that SPI showed promising results for formulating the BMP using the freeze-drying technique.

Effect of intermittent microwave convective drying on physicochemical properties of dragon fruit.

The study was carried out to investigate the effect of Intermittent microwave convective drying (IMCD) on the overall quality of dried dragon fruit in terms of total phenolic content, color change, and rehydration ratio. Three levels of microwave power (200-600 W) and a temperature of 60 °C for hot air were applied alternately throughout the process with three levels of pulse ratio such as 1:10, 1:20, and 1:40, respectively. The total phenolic content of the dragon fruit slice obtained by IMCD was ranged between 5.750 and 6.575 mg GAE/g dry weight. Within the experimental range of process variables under IMCD conditions, the drying efficiency, color change, and rehydration ratio of the dried dragon fruit slices were 15.287-51.930%, 18.643-24.847, and 1.908-3.239, respectively. The Weibull model scale (α) parameter was found to vary between 27.512 - 498.174 , while the shape (ß) parameter was found to vary between 0.769 - 0.851 . The Weibull model parameters were shown to decrease with increasing microwave power at constant pulse ratio. The IMCD method produced a dried dragon fruit slices with reduced color changes and higher total phenolic content and rehydration ratio values. This investigation would contribute to the development of effective drying techniques for increased food quality and product consistency in the drying of diverse fruits and vegetables.

Physicochemical and release behaviour of phytochemical compounds based on black jamun pulp extracts-filled alginate hydrogel beads through vibration dripping extrusion.

The phytochemical-rich extract obtained from black jamun pulp were encapsulated using vibrating dripping extrusion technique. The utilisation of alginate (AL) with four variations of core-shell material comprising gum Arabic (AL-GA), guar gum (AL-GG), pectin (AL-P) and xanthan gum (AL-X) was engaged to form calcium-alginate based lyophilised jamun extract encapsulated beads. It resulted that among four variations, lyophilised alginate with AL-GG based encapsulated jamun extract filled beads have better physicochemical characteristics and 95% encapsulation efficiency. The results revealed the morphological comparison of each variation. The release behaviour of AL-GG based beads has a higher release of total phenolics (TPC) and total anthocyanin content (TAC). The release kinetics model involving Ritger-Peppas and Higuchi model were applied for release TPC and TAC of all variations of beads. The Ritger-Peppas model was found best suitable in terms of average R2 (0.965) and lowest χ2 (0.0039). The release kinetics study showed that AL-GA based beads followed by AL-GG could also be the best suitable in release behaviour using simulated gastrointestinal fluids at 140-160 min. Overall, results shown the encapsulated Jamun beads have the best agro-industrial efficacy in form of phytochemical compounds based microparticles, holding decent antioxidant potential.

Comprehensive study on applications of artificial neural network in food process modeling.

Artificial neural network (ANN) is a simplified model of the biological nervous system consisting of nerve cells or neurons. The application of ANN to food process engineering is relatively novel. ANN had been employed in diverse applications like food safety and quality analyses, food image analysis, and modeling of various thermal and non-thermal food-processing operations. ANN has the ability to map nonlinear relationships without any prior knowledge and predicts responses even with incomplete information. Every neural network possesses data in the form of connection weights interconnecting lines between the input to hidden layer neurons and weights of hidden to output layer neurons, which has a significant role in predicting the output data. The applications of ANN in different unit operations in food processing were described that includes theoretical developments using intelligent characteristics for adaptability, automatic learning, classification, and prediction. The parallel architecture of ANN resulted in a fast response and low computational time making it suitable for application in real-time systems of different food process operations. The predicted responses obtained by the ANN model exhibited high accuracy due to lower relative deviation and root mean squared error and higher correlation coefficient. This paper presented the various applications of ANN for modeling nonlinear food engineering problems. The application of ANN in the modeling of the processes such as extraction, extrusion, drying, filtration, canning, fermentation, baking, dairy processing, and quality evaluation was reviewed.HIGHLIGHTS1. This paper discusses application of ANN in different emerging trends in food process.2. Application of ANN to develop non-linear multivariate modeling is illustrated.3. ANNs have been shown to be useful tool for prediction of outcomes with high accuracy.4. ANN resulted in fast response making it suitable for application in real time systems.

Ultrasound-assisted extraction of phytocompounds from dragon fruit peel: Optimization, kinetics and thermodynamic studies.

Ultrasound-assisted extraction method (UAE) was applied to recover phytocompounds from dragon fruit peel and the process was modelled and optimized using the combination of artificial neural network (ANN) and genetic algorithm (GA). The influence of ultrasonic temperature (30-70 °C), solvent to solid ratio (10:1-30:1 mL/g), solvent concentration (30-60%), and ultrasonic treatment time (5-25 min) on total polyphenolic content (ZT), antioxidant activity (ZD) and betacyanin content (ZB) was investigated. The ANN model successfully fitted to the experimental data and the output of ANN model was applied for genetic algorithm optimization. The optimal UAE conditions were obtained at ultrasonic temperature of 60 °C, solvent to solid ratio 25:1 mL/g, solvent concentration 60%, and ultrasonic treatment time of 20 min. The extraction kinetics and thermodynamic study for phytochemical compounds extracted from dragon fruit peel using UAE process was carried out at different combinations of temperature and time of extraction. The effective diffusion coefficient for total polyphenol content, antioxidant activity and betacyanin content were ranged from 2.99×10-11to4.84×10-11m2/s, 1.89×10-11to4.51×10-11m2/s and 2.55×10-11to5.40×10-11m2/s respectively and the corresponding mass transfer coefficient were varied between 2.00×10-06-2.81×10-06m/s, 1.53×10-06-2.66×10-06m/s and 1.81×10-06-3.05×10-06m/s respectively. The obtained information on effective diffusivity and mass transfer coefficient during extraction would allow the prediction of extraction rate and for estimation of operation conditions for industrial implementation.

Physicochemical characterization of modified lotus seed starch obtained through acid and heat moisture treatment.

Native Lotus seed (NLS) starch was independently subjected to two different modifications such as heat-moisture treatment (HMT) and citric acid treatment (CAT). The effect of the treatment on physical, chemical, morphological, thermal, pasting and gelling properties of native and modified starches were evaluated during the study. The results showed that the enthalpies of the HMT and the CAT samples along with the onset, peak, and conclusion temperatures of gelatinization were increased. The FTIR analysis revealed that HMT and CAT increased the degree of order and the degree of the double helix of the NLS. The gel elasticity and the adhesiveness of the HMT and the CAT starches were also greater than the NLS starch samples. The developed modified starches could be used for enhancement of different functional properties for applying as gelling, thickening, stabilizing and filling agents for developing starch-based food formulations.

Thorough evaluation of sweet potato starch and lemon-waste pectin based-edible films with nano-titania inclusions for food packaging applications.

Biodegradable starch-pectin­titanium oxide nanoparticles (TiO2 - NPs) blend edible films were developed by casting filmogenic solution of sweet potato starch and lemon waste pectin incorporated with TiO2 nanoparticles. The effect of incorporating different concentration of TiO2 nanoparticle (0.5-4% wt) on the different properties of starch and pectin based edible film was evaluated. Surface color measurement, light transmission, scanning electron microscopy, fourier transform infrared spectroscopy, X-ray diffraction, differential scanning calorimetry and thermogravimetric analysis techniques were used to characterize the developed films. Increasing the level of TiO2-NPs led to significant decreases in the moisture content, solubility, and moisture uptake of the films. Addition of low concentration of TiO2 - NPs into starch-pectin films significantly improved the mechanical and moisture barrier properties. SEM analysis also revealed that good particles dispersion could be obtained when nano-TiO2 particles content was low (0.5-2% wt). The glass transition temperatures (Tg) shifted to higher temperature with increasing the TiO2 concentrations and the thermal stability of the films was increased. The transmittance percentage was also decreased with increasing the TiO2 concentrations which revealed that with UV prevention capacity, the developed films can be used as food grade UV screening biodegradable packaging material.

Effect of ultrasonic vacuum pretreatment on mass transfer kinetics during osmotic dehydration of black jamun fruit.

The study investigates the effects of novel combination of ultrasound and vacuum pre-treatment on osmotic dehydration of black jamun fruit. The osmotic dehydration was conducted under three different conditions namely atmospheric osmotic dehydration (AOD), vacuum pre-treated osmotic dehydration (VOD), ultrasonic vacuum pre-treated osmotic dehydration (USVOD). The changes in water and solute content during osmotic dehydration were fitted to Peleg model to predict the equilibrium moisture and solute content values. The adequacy of Weibull distribution model for predicting the moisture and solute contents during osmotic dehydration at different temperatures were assessed. The effective diffusivity of samples in AOD, VOD and USVOD were estimated by application of Fick's second law. The high regression coefficient (R2 > 0.9) and low χ2 value represented the suitability of Peleg model for predicting equilibrium moisture and solute content and Weibull model for predicting both moisture and solute fraction in jamum fruit during AOD, VOD and USVOD processes. Both vacuum and ultrasound vacuum pretreatment enhanced the moisture loss and solute uptake during osmotic dehydration. The results showed the osmotic drying rate was significantly influenced by different pre-treatment techniques and both vacuum and ultrasonic vacuum pretreatment process enhanced moisture loss and solute uptake during osmotic dehydration. The effective moisture and solute diffusivity were highest in ultrasonic vacuum pretreated samples and the values at 30-50 °C temperature were ranged from 8.53 × 10-10 to 9.27 × 10-10 m2/s and 3.81 × 10-10 to 4.39 × 10-10 m2/s respectively. The results were interrelated to changes in tissue structure caused by application of vacuum and ultrasonic vacuum pretreatment.