Effect of (multi pin) atmospheric cold plasma treatment on curcumin extraction and investigating phytochemicals, antioxidants, physical and morphological properties of turmeric (Curcuma longa L.) powder.

This investigation was focused on the impact of cold plasma (CP) on the extraction of curcumin and bioactive compounds of turmeric powder (TP). TP was treated with CP at different applied voltages (10, 20, and 30 kV), with various exposure times (10, 20, and 30 min). The curcumin content was highest at 30 kV for 10 min with a yield of 46.49 mg/g of TP. Total phenols significantly (p < 0.05) enhanced from 163.91 to 360.78 mg GAE/g DW accompanied by a remarkable 16% increment in total flavonoids, paralleled by a 26% increment in antioxidants as of control. Nuclear magnetic resonance spectra justified the extraction of curcuminoids. Moreover, micrographs displayed cell lysis in the treated powder. CP has exhibited a positive effect on surface colour parameters and thermal properties of TP. Overall, CP technology can be tailored for better curcumin extraction and the enhancement of phytochemicals.

Cold Plasma Treatment of Little Millet Flour: Impact on Bioactives, Antinutritional Factors and Functional Properties.

This study delves into the transformative effects of atmospheric cold plasma (CP) treatment on little millet flour (LMF), specifically exploring alterations in bioactive compounds, antinutritional factors, and functional properties. Foaming and emulsification properties experienced noteworthy enhancements with plasma treatment, manifesting in significant increases in foaming capacity (up to 51.47 ± 0.49%), foaming stability, emulsification ability, and emulsion stability (up to 47.02 ± 0.35%). The treatment also positively influenced water absorption index and swelling power. Antinutritional factors, including tannins and saponins, exhibited substantial reductions following plasma treatment. Saponin content, for instance, decreased by an impressive 58% after exposure to 20 kV for 20 min. Conversely, bioactive compounds such as phenolic content and antioxidant activity saw significant increases. Total phenolic content (TPC) rose from 527.54 ± 8.94 to 575.82 ± 3.58 mg GAE/100 g, accompanied by a remarkable 59% boost in antioxidant activity. Interestingly, plasma treatment did not exhibit a discernible effect on pasting properties. These findings collectively underscore the potential of atmospheric CP treatment as a novel and effective method for enhancing the functional and nutritional attributes of LMF, thereby opening new avenues for its application in food science and technology.

Cold plasma: Unveiling its impact on hydration, rheology, nutritional, and anti-nutritional properties in food materials - An overview.

Non-thermal technologies, primarily employed for microbial inactivation and quality preservation in foods, have seen a surge in interest, with non-thermal plasma garnering particular attention. Cold plasma exhibits promising outcomes, including enhanced germination, improved functional and rheological properties, and microorganism destruction. This has sparked increased exploration across various domains, notably in hydration and rheological properties for creating new products. This review underscores the manifold benefits of applying cold plasma to diverse food materials, such as cereal and millet flours, and gums. Notable improvements encompass enhanced functionality, modified color parameters, altered rheological properties, and reduced anti-nutritional factors. The review delves into mechanisms like starch granule fragmentation, elucidating how these processes enhance the physical and structural properties of food materials. While promising for high-quality food development, overcoming challenges in scaling up production and addressing legal issues is essential for the technology's commercialization.

A novel approach to increase calcium and fiber content in pasta using kadamb fruit (Neolamarckia cadamba) powder and study of functional and structural characteristics.

Kadamb is a unique and underutilized fruit having rich nutritional profile. The utilization of kadamb fruit in value addition is very limited. In this study, pasta was made using kadamb fruit powder (KFP). The effect of fortification of KFP on the quality parameters (color, solid loss, percent expansion, hardness, bulk density, and overall acceptability) of pasta was studied. Pasta was prepared using semolina as the base ingredient, and various proportions of KFP (ranging from 0 to 20%) were added for fortification. Dietary fiber and calcium contents of dry pasta were increased from 5.21 ± 0.02 to 15.36 ± 0.02 and 17.57 ± 0.15 to 37.97 ± 0.03, respectively. As the proportion of KFP increased, the cooking time, hardness, and percent solid loss of the cooked pasta also increased. The highest values for overall acceptability, hardness, cooking solid loss, and bulk density were achieved with 10% KFP and 90% semolina were 7.93 ± 0.41, 19.92 ± 0.21 N, 6.30 ± 0.46%, and 331.67 ± 9.60 kg/m3 respectively. Percent expansion of the pasta was noted to be around 98.33 ± 6.5%. The optimal proportion of KFP was found to be 10% for achieving the best overall quality attributes. FTIR (Fourier-transform infrared spectroscopy) and SEM (scanning electron microscopy) analyses were conducted on the pasta, confirming the presence of functional groups and revealing structural changes due to fiber content of KFP. KFP can be used to create functional and nutritious food products, and further research could explore its application in other food formulations as well.

Co-rotating extrusion cooking impact on product characteristics using hulled kodo millet and hybrid maize flour.

Vitamin A deficiency (VAD) is adamant in developing countries especially affecting pregnant women and children. Popular maize hybrid (CO6) contains higher ß-carotene concentration (923 µg/100 g), is considered one of the prominent and cheapest sources of provitamin A for humans, to alleviate VAD. The present research explored an adequate combination of hulled Kodo millet, a valuable food source for diabetics with limiting carotenoid content (0.17 µg/100 g) and biofortified hybrid maize genotypes (CO6) in ratio 70:30. Studies on process loss of total carotenoids (273.17-388.65 µg/100 g) without affecting the expansion index (2.06-4.46), piece density (254.06-585.62 kgm-3), browning index (47.25-88.38%), and hardness (13.21-67.59 N) characteristics under the influence of feed moisture 12.5-17.5%, wet basis, die temperature 150-180 °C and screw speed 420-470 rpm was evaluated in a co-rotating twin-screw extruder, following a five-level three-factor central composite rotatable design. The investigated physical and total carotenoid contents alteration upon extrusion cooking will add a scientific knowledge base to produce healthier breakfast cereals with acceptable technological and nutritional characteristics.

Multipin cold plasma electric discharge on hydration properties of kodo millet flour: Modelling and optimization using response surface methodology and artificial neural network - Genetic algorithm.

The effect on functional properties of kodo millet flour was studied using multipin cold plasma electric reactor. The analysis was carried out at various levels of voltage (10-20 kV) and treatment time (10-30 min) for four different parameters such as water absorption capacity (WAC), oil absorption capacity (OAC), solubility index (SI) and swelling capacity (SC). Response surface methodology (RSM) and artificial neural network - genetic algorithm (ANN - GA) were adopted for modelling and optimization of process variables. The optimized values obtained from RSM were 20 kV and 17.9 min. On the contrary, 17.5 kV and 23.3 min were the optimized values obtained from ANN - GA. The RSM optimal values of WAC, OAC, SI and SC were 1.51 g/g, 1.40 g/g, 0.06 g/g and 3.68 g/g whereas optimized ANN - GA values were 1.51 g/g, 1.50 g/g, 0.06 g/g and 4.39 g/g, respectively. Infrared spectra, peak temperature, diffractograms and micrographs of both optimized values were analyzed and showed significant differences. ANN showed a higher value of R2 and lesser values of other statistical parameters compared to RSM. Therefore, ANN - GA was treated as the best model for optimization and modelling of cold plasma treated kodo millet flour. Hence, the ANN - GA optimized values of cold plasma treated flour could be utilized for practical applications in food processing industries.

Process optimization of cypermethrin biodegradation by regression analysis and parametric modeling along with biochemical degradation pathway.

Pyrethroid pesticides are of great environmental and health concern with regard to neurotoxicity and ubiquitous occurrence. Here, we reported a new bacterial strain identified as Bacillus cereus AKAD 3-1 that degraded 88.1% of 50 mg/l of cypermethrin in an aqueous medium. The biodegradation of cypermethrin was optimized by CCD (central composite design) and validated by ANN-GA (artificial neural network-genetic algorithm). Both the approaches proved to possess good performance in modeling and optimizing the growth conditions. Results indicated that the process variables have a significant (< 0.0001) impact on cypermethrin biodegradation. Moreover, the predicted CCD model had a "lack of fit p-value" of "0.9975." The optimum CCD and ANN model had an R2 value of 0.9703 and 0.9907, indicating that the two models' experimental and predicted values are closely fitted. The isolate successfully converted cypermethrin to CO2 and phenol without producing any toxic metabolite. Finally, a degradation pathway was proposed with the intermediate compounds identified by GC-MS. The present study highlights an important potential application of strain AKAD 3-1 for the in situ bioremediation of cypermethrin-contaminated environments.

Review on the extraction of bioactive compounds and characterization of fruit industry by-products.

The by-products produced from fruit processing industries could be a potential hazard to environmental pollution. However, these by-products contain several biologically active molecules (essential fatty acid, phenolic compounds, flavonoids, coloring pigments, pectin, proteins, dietary fibers, and vitamins), which can be utilized for various applications in the food, pharmaceutical, cosmetic and textile industries. Nevertheless, during extraction, these bioactive compounds' recovery must be maximized using proper extraction technologies, keeping both economy and environment under consideration. In addition, the characteristics of the extract obtained from those by-products depend mainly on the parameters considered during the extraction process. In this review, an overview of different technologies used to extract bioactive compounds from fruit industry by-products such as seeds and peels has been briefly discussed, along with their mechanisms, process, advantages, disadvantages, and process parameters. In addition, the characteristics of the extracted bioactive compounds have also been briefly discussed in this review.

Ultrasound-assisted hydration of finger millet (Eleusine Coracana) and its effects on starch isolates and antinutrients.

Finger millet (Eleusine Coracana) is rich in nutrients and minerals. The iron and calcium contents are comparatively higher than other cereal crops. Finger millet also has some antinutrients such as tannins and phytates, that needs to be removed for maximum health benefits. Traditionally, these antinutrients are removed by the hydration process. The conventional hydration process is time cumbersome and often results in poor quality grains. Ultrasonication during hydration of finger millet could reduce the processing time and antinutrient content in finger millet. The ultrasound amplitude, treatment time, and grain to water ratio during hydration were optimized. An ultrasound amplitude of 66%, treatment time of 26 min, and a grain to water ratio of 1:3 resulted in best desirability parameters with a reduction in phytate and tannin contents of the finger millet by 66.98 and 62.83%, respectively. Ultrasonication during hydration increased the water binding capacity and solubility of the finger millet starch. XRD study of the starch isolates confirmed the increased crystallinity of the particles. FESEM of the starch isolates also confirmed that ultrasound-assisted hydration of finger millet resulted in the desired size reduction and homogeneous distribution of starch particles. The optimized ultrasound-assisted hydration could be adopted and scaled up for bulk processing of finger millets.

Chironji (Buchanania lanzan) fruit juice extraction using cellulase enzyme: modelling and optimization of process by artificial neural network and response surface methodology.

Chironji fruit juice extraction using cellulase enzyme was performed at various concentrations of cellulase, incubation temperature, and time. Artificial neural network (ANN) conjugated with genetic algorithm (GA), and response surface methodology (RSM) were used for attaining the process conditions where the highest juice yield can be achieved. The recommended values of process parameters obtained using ANN-GA method were cellulase concentration of 0.093% (w/w), incubation temperature of 45.7 °C, and incubation time of 116 min. Using RSM method, the recommended values were cellulase concentration of 0.081% (w/w), incubation temperature of 39.6 °C, and incubation time of 99 min. However, the incubation time was found to be the most significant independent process parameter followed by cellulase concentration that affect the juice yield. The juice yield determined experimentally at RSM and ANN-GA recommended conditions was 69.77 ± 0.16% and 70.15 ± 0.12%, respectively. These values indicated that both RSM and ANN-GA methods have comparable accuracies. However, juice extracted using ANN-GA recommended conditions had better physicochemical properties than the juice extracted using RSM recommended conditions.

Modeling and optimization of pectinase-assisted low-temperature extraction of cashew apple juice using artificial neural network coupled with genetic algorithm.

In this study, pectinase-assisted extraction of cashew apple juice was modeled and optimized using a multi-layer artificial neural network (ANN) coupled with genetic algorithm (GA). The effect of incubation time, incubation temperature, and enzyme concentration on different responses such as yield, turbidity, ascorbic acid content, polyphenol content, total soluble solids, and pH was also determined. The developed ANN has minimum mean squared error values of 0.83, 40.92, 29.01, and 8.95 and maximum R values of 0.9999, 0.9972, 0.9995, and 0.9996 for training, testing, validation, and all data sets, respectively, which shows good agreement between the actual and predicted values. The optimum extraction parameters obtained using the developed ANN-GA were as follows: an incubation time of 64 min, incubation temperature of 32 °C, and enzyme concentration of 0.078%. The measured value of responses at the optimized process conditions were in accordance with the predicted values obtained using the developed ANN model.

Effect of processing temperature on dynamic rheological properties and color degradation kinetics of bael fruit pulp.

BACKGROUND: A lack of knowledge about the dynamic rheological properties and color degradation of bael fruit pulp gives rise to many problems during thermal processing for the preparation of bael fruit products. In this research, the effects of processing temperature (30-75 °C) on dynamic rheology and color degradation kinetics of bael fruit pulp were studied and analyzed. RESULTS: Bael fruit pulp showed more elastic behavior than viscous behavior by analyzing the storage modulus, loss modulus and phase angle over oscillatory frequency range 0.06-300 rad s-1 . The dynamic rheological study classified the bael fruit pulp as a weak gel (G' > G″). The values of first-order degradation rate constant (k) were determined to be 0.07, 0.011, 0.018 and 0.023 for 30, 45, 60 and 75 °C, respectively. The first-order color degradation kinetics of bael fruit pulp has given a higher value of activation energy (Ea = 23.83 kJ mol-1 ) with coefficient of determination (R2 ) of 0.99, which indicated a higher sensitivity for treatment temperature and time during processing. CONCLUSIONS: The results obtained would allow simplification of processes for easier formulation of quality products from bael fruit pulp. This study has the potential to increase the processing ability of bael fruit, which will encourage a greater production of bael fruits. © 2020 Society of Chemical Industry.

Mass modeling of Belleric Myrobalan and its physical characterization in relation to post-harvest processing and machine designing.

The present research was inducted to assess the physical properties of Terminalia bellerica fruit which is commonly known as belleric myrobalan. The research includes dimensional properties, gravimetric properties, and frictional properties of the T. bellerica. These properties form an important base for the designing of machine or equipment; those are used in the post-harvest operations. The reported average value for the dimensions of the fruit were 26.80 mm, 20.85 mm, 20.85 mm as long dimensional axis, intermediate dimensional axis, and short dimensional axis respectively. The arithmetic mean diameter, equivalent mean diameter, and geometric mean diameter were calculated as 22.54 mm, 22.32 mm, and 22.31 mm respectively. The sphericity was found to be 0.83 while the aspect ratio was 0.78. In the gravimetric properties, true density and the bulk density for the dried fruit of T. bellerica was found to be 0.63 g/cm3 and 0.57 g/cm3 respectively. In the frictional properties, static coefficient of friction was found to be highest on the mild steel and plywood sheet (0.25) and lowest was on the stainless steel sheet (0.19). The angle of repose was found to be 33.96°. Along with the physical properties of the fruit, mass modeling was done for which the fruits were categorized into 3 categories based on their weight. Each category of fruit showed the different significance level and regression factor in every model namely linear, quadratic, power, and S-curve. The quadratic model showed highest level of significance for all the dimensions, area and volume in the small and large mass group while power model was the best fit in the medium mass group. It was concluded that the quadratic model in the small and large mass group while power model in the medium mass group are recommended as best fit and can be used for the design considerations of any post-harvest machine or equipment.

Comparison and storage study of ultra-filtered clarified jamun (Syzygium cumini) juice.

Ultrafiltration is one of the types of clarification process that was undertaken in this study together with examining and comparing the storage period of clarified juice by other methods (enzymatically treated, centrifugation, microfiltration). Centrifugation, ultrafiltration and microfiltration of jamun juice was carried out using a laboratory scale refrigerated centrifuge and filtration system. The juices obtained from various processes were evaluated on the basis of their physiochemical and microbial aspects over a period of 8 weeks. Enzyme treated and centrifuged juices were found to be degraded within 15-30 days while other juices had lesser changes in their properties. However microfiltered juice contained some yeasts and molds which increased with time. Ultrafiltration with 50 kDa pore size and 20 psi pressure was found to be the best method for clarification of jamun juice having a prolong shelf life with optimum qualities.

Image analysis to quantify the browning in fresh cut tender jackfruit slices.

Changes in physicochemical properties of fresh cut tender jackfruit during storage is depend on its colour. Colorimeter measurements are best for the samples with homogeneous colour. However, for samples with non-homogenous colors or large sizes (like fruits and vegetables), the colorimeters are inappropriate and inaccurate. The aim for this study is to quantify the amount of browning in fresh cut tender jackfruit slices by using image analysis technique and justify the results by comparing them with existing techniques like sensory examination, enzyme activity, and colorimeter. It can be concluded from the results that browning in fresh cut tender jackfruit slices increase rapidly in control and normally packed samples. Correlation coefficient as high as 0.963, represent that image analysis system is an accurate and highly consistent method to quantify the colour of fruits and vegetables.

Variation in properties of tender jackfruit during different stages of maturity.

This research was conducted on two varieties of tender jackfruit [hard (HV) and soft variety (SV)]. The tender jackfruit was divided into four stages (i.e. Stage 1, 2, 3 and 4) and their physical, mechanical, chemical and textural properties were determined for both the varieties. Physical properties like weight, length, diameter, geometric mean and arithmetic mean diameter were increases with increase in size for both the varieties. There was a significant increase in TSS in both the varieties (HV: 1.5 ± 0.02 to 5.1 ± 0.03; SV: 2.7 ± 0.05 to 7.1 ± 0.05 oBrix) from stage 1 to 4 because of ripening of fruit. The hardness, fracturability and springiness increases with maturity but on the counterpart, there is a decrease in adhesiveness, cohesiveness, chewiness and gumminess. The nutritional properties and the energy (kj) values were inevitable increases whereas vitamins content was decreases from stage 1 to 4 in both the varieties. The measured properties will be helpful in planning, design and fabrication of post-harvest processing equipment for tender jackfruits.

Optimization of process parameters for enhanced production of Jamun juice using Pectinase (Aspergillus aculeatus) enzyme and its characterization.

Jamun fruit comprises of seed and thick pulp. The pectin-protein bond of the thick pulp creates difficulty in making juice. Clear Jamun juice is not available in the market, so there is a need for extraction of juice with maximum yield. The goal of this research is to obtain high yield of clarified juice with the help of Pectinase (Aspergillus aculeatus) enzyme. The study was conducted at different enzyme concentration (0.01-0.1%), time duration (40-120 min), and temperature (30-50 °C). Various physical and chemical parameters, such as yield, turbidity, viscosity, clarity, colour, polyphenol, protein, TSS, and total solid, were measured as dependent variables. Process optimization has been done using Box-Behnken design. Optimization has been done for maximum yield percentage, L* value, a* value, protein, and polyphenol content, and minimum values for turbidity, viscosity, clarity, b* value, TSS, and total solid content. The suggested parameters for extraction of juice were at 0.05% enzyme concentration at 44 °C for 80 min. In a large-scale production, extraction of juice by Pectinase (Aspergillus aculeatus) has a significance importance due to its high yield as well as nutritional values.

Physicochemical analysis of Psophocarpus tetragonolobus (L.) DC seeds with fatty acids and total lipids compositions.

Psophocarpus tetragonolobus (L.) DC. is a tropical legume with potential nutritional properties. In present study, the physical properties and proximate composition of the seeds were evaluated. Besides, the physico-chemical properties of fatty oil from fully mature seeds were also studied. The fatty oil compositions of immature, mature and fully mature seeds were evaluated by GC-FID, GC/MS and (1)H-NMR. The study revealed that, fatty oil from fully mature seeds contained high proportion of unsaturated fatty acids (75.5 %), whereas immature seeds contained higher percentage of saturated fatty acid (61.3 %). In addition, unsaponification matter (0.25 %) of fatty oil was identified as stigmasterol (66.4 %) and ß-sitosterol (25.1 %). Total lipids of fully mature seeds were extracted and isolated as neutral, glyco- and phospholipids. Overall, the fatty oil of fully mature seeds was enriched with mono-unsaturated fatty acids (38.6 %) and poly-unsaturated fatty acids (36.9 %) without trans-fatty acids, thus meeting the edible oil standard.

Supercritical carbon dioxide extraction of wheat distiller's dried grain with solubles.

A wide variety of carbohydrates and starch-containing materials have been used for production of ethanol by the fermentation process. The alcohol from grain such as corn, wheat, barley, and sweet sorgum produced dried distillate grain with solubles (DDGS) and carbon dioxide as by-products. An attempt has been made to extract fatty oil from wheat DDGS using supercritical carbon dioxide (SC-CO2). Wheat DDGS contain 65-70% of omega-3-fatty acid and omega-6-fatty acid. The fatty oil was also extracted from wheat DDGS by the Soxhlet method using hexane. The chemical compositions of fatty oils were determined by carbon, hydrogen, nitrogen and sulphur analyser, gas chromatography-flame ionization detector and gas chromatography/mass spectrometry. SC-CO2 is a suitable process for extraction of fatty oils with an improved percentage of essential fatty acids such as omega-3-fatty acid and omega-6-fatty acid.