Search results

1 – 10 of over 1000
Per page
102050
Citations:
Loading...
Access Restricted. View access options
Article
Publication date: 21 April 2020

P.D. Shere, Prashant Sahni, A.N. Devkatte and V.N. Pawar

Noodles are good vehicles for the enrichment and can be enriched with vegetable purees. However, this enrichment can alter quality attributes of noodles with resultant effect on…

300

Abstract

Purpose

Noodles are good vehicles for the enrichment and can be enriched with vegetable purees. However, this enrichment can alter quality attributes of noodles with resultant effect on its sensorial attributes. The purpose of this paper is to study the effect of addition of different hydrocolloids on the microstructural and quality characteristics of instant noodles enriched with spinach puree.

Design/methodology/approach

Preliminary trials were carried out for the standardization level of addition of spinach puree in noodle formulation. Carboxymethyl cellulose (CMC) and guar gum were added in the noodle formulation at 0.25, 0.5 and 0.75 per cent level of incorporation. The effect of addition of hydrocolloids was evaluated on the cooking quality, sensory attributes, texture characteristics and microstructure of the noodles.

Findings

The most acceptable ratio for the formulation of the noodles was found to be 40 g spinach puree per 100 g refined wheat flour. Addition of hydrocolloids resulted in the increase in the cooking time, cooking weight, water absorption and swelling index. Significant decrease in the cooking loss was observed with the increase in the level of CMC (from 7.4 to 6.1 per cent) and guar gum (from 7.4 to 7 per cent). Addition of CMC and guar gum up to 0.5 per cent and 0.25 per cent, respectively, improved the texture, overall acceptability and mouthfeel attributing to complimentary interaction between starch, fibre and hydrocolloids observed at microstructural level; however, further increase in the level of incorporation resulted in stickiness and sliminess in the noodle strands.

Practical implications

It is found that 0.5 per cent CMC and 0.25 per cent guar gum can be used for the enhancement of quality characteristics of the spinach puree enriched noodles.

Originality/value

Intervention of incorporation of hydrocolloids in spinach puree–enriched instant noodles delivers healthy and nutritious product without compromising on its sensorial and quality attributes.

Details

Nutrition & Food Science , vol. 50 no. 6
Type: Research Article
ISSN: 0034-6659

Keywords

Access Restricted. View access options
Article
Publication date: 4 January 2021

Temitope Omolayo Fasuan, Cynthia Chioma Anyiam, Linda Obianuju Ojokoh, Judith Uchenna Chima, Titilope Modupe Olagunju, Kingsley Osita Okpara and Kenneth Chigozie Asadu

Pasta is popularly consumed in developed and developing countries. Many low-income homes that could not afford protein-rich foods consumed pasta without further supplements as a…

230

Abstract

Purpose

Pasta is popularly consumed in developed and developing countries. Many low-income homes that could not afford protein-rich foods consumed pasta without further supplements as a meal. However, pasta is deficient in protein and some other health-promoting substances. Deoiled sesame and amaranth flours are rich in protein, minerals, amino acids, antioxidants and many non-nutrient-based health benefits. Formulating a nutrient-dense pasta product (spaghetti) would reduce protein-energy malnutrition (PEM) and improve the health status of pasta consumers. This study aims to investigate some bioactive, nutrients and non-nutrient components of developed and optimized spaghetti pasta from deoiled sesame, amaranth and modified sorghum starch blend.

Design/methodology/approach

Amaranth, sorghum and sesame grains were sorted, wet-cleaned and dried. Sesame grain was roasted while starch was extracted from sorghum grain. The innate starch was modified by heat-moisture treatment. The prepared grains and starch were milled into flours and formulated into different flour mixtures using the Box-Behnken design of response surface methodology and the process was modeled and optimized. The flour mixtures were made into spaghetti pasta. Proximate, mineral, amino acids, biological value, protein efficiency ration, phytochemical, antioxidant activity, physico-functional and sensory properties of the formulated spaghetti were evaluated using standard procedures.

Findings

An optimal mixture of deoiled sesame (31.12g/100g), amaranth (56.56g/100g) and modified sorghum starch (12.32g/100g) were established, which yielded protein (25.79g/100g), appearance (96.65%), taste (94.57%) and acceptability index (97.37%). The spaghetti was significantly (p-values ranged from 0.001 to 0.018) superior in protein, ash, fat, fiber, calcium, magnesium, zinc, alkaloids, total phenolic, flavonoids, 2,2-diphenyl-1-picryl-hydrazl (DPPH) and ferric ion reducing antioxidant power (FRAP) relative to the control (100% wheat flour). Amino acid showed that the product is rich in histidine, isoleucine, phenylalanine and threonine. The high essential amino acid index of the product indicated that it is a good protein source. The spaghetti was significantly (p-values ranged from 0.001 to 0.021) superior in aroma, taste and acceptability index relative to the control.

Originality/value

This study showed the feasibility of developing spaghetti pasta from deoiled sesame, amaranth grains and modified sorghum starch. The production process described in this study is scalable; and the process could be applied on a small scale for the development of self-entrepreneurs and industrially. The high protein content of the product indicated that it could be used to reduce PEM in developing countries.

Details

Nutrition & Food Science , vol. 51 no. 6
Type: Research Article
ISSN: 0034-6659

Keywords

Access Restricted. View access options
Article
Publication date: 16 September 2022

Surendra Babu Ayenampudi, Riya Verma and Samuel Ayofemi Olalekan Adeyeye

Jamun is an underutilised fruit crop of India whose utilization needs to be considerably increased. Despite its impressive nutritional profile and several health benefits, its…

261

Abstract

Purpose

Jamun is an underutilised fruit crop of India whose utilization needs to be considerably increased. Despite its impressive nutritional profile and several health benefits, its cultivation is still very limited. Hence, this study aims to highlight the essential nutrients, health benefits and value-added products of jamun fruit and seed.

Design/methodology/approach

Major sources of bibliometric information such as Web of Science, Scopus, PubMed and Google Scholar were extensively searched with keywords such as nutritional composition of jamun, bioactive compounds, health benefits and jamun-based food products to obtain a database of 317 papers. Thirty four publications met the criteria for review.

Findings

Jamun fruit (Syzygium cumini L.) is known for its attractive colour, astringent taste, enormous nutrients and nutraceutical properties; nevertheless, this fruit is seasonal, perishable and underutilised. Furthermore, the fruit is used for the treatment of diabetes and also possess anti-cancer, anti-inflammatory, anti-obesity and cardio-protection properties. Investigations were done on the production of value-added food products such as read-to-serve beverages, jam, cookies and cake from jamun due to their several health benefits. The present review was an attempt to provide spotlights on the health benefits and food product applications of jamun fruit and its by-products.

Originality/value

This review systematically collates evidence from various published sources regarding the nutritional profile, development of food products from jamun and their health benefits. The compiled information will help researchers and professional become aware of the significance of jamun fruit and thereby enhances its processing and applications in food systems.

Details

Nutrition & Food Science , vol. 53 no. 5
Type: Research Article
ISSN: 0034-6659

Keywords

Available. Open Access. Open Access
Article
Publication date: 21 November 2022

Mohammed Wheed Hassan and Kadhim Abdul Wahab Hassan Al-Asadi

The purpose of communicating with your esteemed magazine is your continuous support with Arab researchers and your sponsorship of research on the Arab world.

832

Abstract

Purpose

The purpose of communicating with your esteemed magazine is your continuous support with Arab researchers and your sponsorship of research on the Arab world.

Design/methodology/approach

The research design was based on the APA style, and the methodology used in this research study is statistical and applied analysis to reach the desired results.

Findings

The results of this study provide an interesting perspective on the factors that influence changes in variables in Iraq: The prevailing patterns of temperature in Iraq are characterized by a clear pattern, and it is noticeable that they are linked to patterns of distance connection, but it is affected by some local influences, including the different terrain in Iraq. The highest values recorded by the correlation relationship were for the oscillation NAO and EA-WR with −0.812, −0.805, respectively. It is clear from the results that the correlation values are different between the northern and southern stations regions, and that the most influential appeared during the month of January, meaning that the effects of the remote correlation patterns are clearer during the winter season. Most of the correlation values of temperature were at the significance level of 0.5 and 0.1, in addition to that, the correlation was inverse, meaning that when the values of the distance correlation patterns rise, the temperature rates drop above the study stations and vice versa. The effect of SOI appeared during the months of December, April and May, and it recorded a strong correlation with the temperature variable. Most of the oscillations showed different effects with temperature, and it cannot be inferred that the effect is subjected and affected by the oscillation without reference to the extensions of pressure systems and their effects on the local conditions over Iraq.

Research limitations/implications

There are no restrictions.

Originality/value

The topic of the research is one of the modern topics that researchers have not taken up in a large way, and the apparent thesis in the research is one of the effects of the newly observed climate changes with the aim of addressing and limiting the effects of these phenomena on the Arab world.

Details

Arab Gulf Journal of Scientific Research, vol. 41 no. 1
Type: Research Article
ISSN: 1985-9899

Keywords

Access Restricted. View access options
Article
Publication date: 23 November 2020

Sushant Shivaji Pawar, Pallavi V. Madiwale, Ashitosh Pawar and Ravindra Vithal Adivarekar

Dyeing of silk fabric was studied to increase dye uptake using eco-friendly glycerine based eutectic solvent (GES), which acts as a swelling agent.

116

Abstract

Purpose

Dyeing of silk fabric was studied to increase dye uptake using eco-friendly glycerine based eutectic solvent (GES), which acts as a swelling agent.

Design/methodology/approach

The swelling behaviour of silk fabric in GES was analyzed using three-dimensional laser scanning microscope. Dyeing parameters such as time, temperature and GES concentration were optimized using design of experiments.

Findings

In total, 5.34 F-value and 0.0014 p-value of ANOVA represent that the model is significant. An optimized GES assisted dyeing was carried out with two different classes of dyes such as Acid Blue 281 and Acid Red 151 and further compared with that of conventional aqueous dyeing method.

Originality/value

At 70°C, silk fabric achieves desired colour strength after 35 min of dyeing (10 min lesser than conventional) using GES assisted dyeing method. % Dye exhaustion of GES assisted dye bath was carried out and found to be very good. Fastness properties such as washing, light and rubbing fastness of conventional and GES assisted dyed silk fabric showed comparable results.

Details

Research Journal of Textile and Apparel, vol. 25 no. 1
Type: Research Article
ISSN: 1560-6074

Keywords

Access Restricted. View access options
Article
Publication date: 3 June 2021

Mohandas V. Pawar and Anuradha J.

This study aims to present a novel system for detection and prevention of black hole and wormhole attacks in wireless sensor network (WSN) based on deep learning model. Here…

250

Abstract

Purpose

This study aims to present a novel system for detection and prevention of black hole and wormhole attacks in wireless sensor network (WSN) based on deep learning model. Here, different phases are included such as assigning the nodes, data collection, detecting black hole and wormhole attacks and preventing black hole and wormhole attacks by optimal path communication. Initially, a set of nodes is assumed for carrying out the communication in WSN. Further, the black hole attacks are detected by the Bait process, and wormhole attacks are detected by the round trip time (RTT) validation process. The data collection procedure is done with the Bait and RTT validation process with attribute information. The gathered data attributes are given for the training in which long short-term memory (LSTM) is used that includes the attack details. This is used for attack detection process. Once they are detected, those attacks are removed from the network using the optimal path selection process. Here, the optimal shortest path is determined by the improvement in the whale optimization algorithm (WOA) that is called as fitness rate-based whale optimization algorithm (FR-WOA). This shortest path communication is carried out based on the multi-objective function using energy, distance, delay and packet delivery ratio as constraints.

Design/methodology/approach

This paper implements a detection and prevention of attacks model based on FR-WOA algorithm for the prevention of attacks in the WSNs. With this, this paper aims to accomplish the desired optimization of multi-objective functions.

Findings

From the analysis, it is found that the accuracy of the optimized LSTM is better than conventional LSTM. The energy consumption of the proposed FR-WOA with 35 nodes is 7.14% superior to WOA and FireFly, 5.7% superior to grey wolf optimization and 10.3% superior to particle swarm optimization.

Originality/value

This paper develops the FR-WOA with optimized LSTM detecting and preventing black hole and wormhole attacks from WSN. To the best of the authors’ knowledge, this is the first work that uses FR-WOA with optimized LSTM detecting and preventing black hole and wormhole attacks from WSN.

Access Restricted. View access options
Article
Publication date: 5 May 2015

Babruvahan Pandurang Ronge and Prashant Maruti Pawar

– This paper aims to focus on the stochastic analysis of composite rotor blades with matrix cracking in forward flight condition.

396

Abstract

Purpose

This paper aims to focus on the stochastic analysis of composite rotor blades with matrix cracking in forward flight condition.

Design/methodology/approach

The effect of matrix cracking and uncertainties are introduced to the aeroelastic analysis through the cross-sectional stiffness properties obtained using thin-walled beam formulation, which is based on a mixed force and a displacement method. Forward flight analysis is carried out using an aeroelastic analysis methodology developed for composite rotor blades based on the finite element method in space and time. The effects of matrix cracking are introduced through the changes in the extension, extension-bending and bending matrices of composites, whereas the effect of uncertainties are introduced through the stochastic properties obtained from previous experimental and analytical studies.

Findings

The stochastic behavior of helicopter hub loads, blade root forces and blade tip responses are obtained for different crack densities. Further, assuming the behavior of progressive damage in same beam is measurable as compared to its undamaged state, the stochastic behaviors of delta values of various measurements are studied. From the stochastic analysis of forward flight behavior of composite rotor blades at various matrix cracking levels, it is observed that the histograms of these behaviors get mixed due to uncertainties. This analysis brings out the parameters which can be used for effective prediction of matrix cracking level under various uncertainties.

Practical implications

The behavior is useful for the development of a realistic online matrix crack prediction system.

Originality/value

Instead of introducing the white noise in the simulated data for testing the robustness of damage prediction algorithm, a systematic approach is developed to model uncertainties along with damage in forward flight simulation.

Details

Aircraft Engineering and Aerospace Technology: An International Journal, vol. 87 no. 3
Type: Research Article
ISSN: 0002-2667

Keywords

Access Restricted. View access options
Article
Publication date: 20 March 2024

Ziming Zhou, Fengnian Zhao and David Hung

Higher energy conversion efficiency of internal combustion engine can be achieved with optimal control of unsteady in-cylinder flow fields inside a direct-injection (DI) engine…

98

Abstract

Purpose

Higher energy conversion efficiency of internal combustion engine can be achieved with optimal control of unsteady in-cylinder flow fields inside a direct-injection (DI) engine. However, it remains a daunting task to predict the nonlinear and transient in-cylinder flow motion because they are highly complex which change both in space and time. Recently, machine learning methods have demonstrated great promises to infer relatively simple temporal flow field development. This paper aims to feature a physics-guided machine learning approach to realize high accuracy and generalization prediction for complex swirl-induced flow field motions.

Design/methodology/approach

To achieve high-fidelity time-series prediction of unsteady engine flow fields, this work features an automated machine learning framework with the following objectives: (1) The spatiotemporal physical constraint of the flow field structure is transferred to machine learning structure. (2) The ML inputs and targets are efficiently designed that ensure high model convergence with limited sets of experiments. (3) The prediction results are optimized by ensemble learning mechanism within the automated machine learning framework.

Findings

The proposed data-driven framework is proven effective in different time periods and different extent of unsteadiness of the flow dynamics, and the predicted flow fields are highly similar to the target field under various complex flow patterns. Among the described framework designs, the utilization of spatial flow field structure is the featured improvement to the time-series flow field prediction process.

Originality/value

The proposed flow field prediction framework could be generalized to different crank angle periods, cycles and swirl ratio conditions, which could greatly promote real-time flow control and reduce experiments on in-cylinder flow field measurement and diagnostics.

Details

International Journal of Numerical Methods for Heat & Fluid Flow, vol. 34 no. 8
Type: Research Article
ISSN: 0961-5539

Keywords

Access Restricted. View access options
Article
Publication date: 5 March 2021

Abhijeet M. Malge and Prashant Maruti Pawar

Three different configurations of vertical axis wind turbines (VAWT) were fabricated by changing the storey height and their orientations. The purpose of this study is to find the…

157

Abstract

Purpose

Three different configurations of vertical axis wind turbines (VAWT) were fabricated by changing the storey height and their orientations. The purpose of this study is to find the effect of storey height and orientation on the performance of wind turbines. The multistory VAWT has three storeys. The first configuration had increased middle storey height, with 0–90-0 orientation of blades. Wherein the second turbine had equal storey heights. The third configuration had increased middle storey height with 0–120-240 orientation of blades. The blades were tested numerically and experimentally.

Design/methodology/approach

In this research work, prototypes of innovative multistory VAWT were built with different configurations and orientations. Three configurations of three-storey VAWT were fabricated by varying the height of storey of turbines. The orientations were made by keeping the storeys orthogonal to each other. Multistory VAWT was tested numerically and experimentally. ANSYS Fluent was used for computational fluid dynamic analysis of VAWT. K-epsilon model was used for numerical analysis of wind turbine. Experimentation was carried out in a wind tunnel for different tip speed ratios (TSR).

Findings

The three configurations of innovative multistory VAWT were tested numerically and experimentally for different TSR. It has been found that the VAWT with equal storey height had a better performance as compared to the other two configurations with increased middle storey height. The power coefficient of equal storey height VAWT was about 22%, wherein the power coefficient of turbines with reduced upper and lower storey height was between 5%–8%.

Research limitations/implications

The research work of multi-storey VAWT is very novel and original. The findings of the research will contribute to the existing work done in the field of VAWT. This will help other researchers to have insight into the development of multistory VAWT. The effect of storey height and configuration of multi-storey VAWT is studied numerically and experimentally, which concludes that the performance of equal storey is superior as compared to other configurations.

Practical implications

The multi-storey concept of VAWT was developed to counter the problem of wind direction. The blades of each storey were arranged orthogonal to each other. This helped to harness wind power irrespective of the direction of the wind. This will make the VAWT more sustainable and financially viable for domestic use.

Social implications

The turbines are specially designed for remotely located housed in rural areas where the power grid is not yet reached. Users can install the turbine on their rooftop and harness wind power of 100 W capacity. This will help them to make their life easy.

Originality/value

This research work is very original and first of a kind. The multistory concept of the wind turbine was checked for the effect of storey height and orientations of blades on its performance. Different configurations and orientations of the vertical axis were designed and developed for the first time.

Details

Journal of Engineering, Design and Technology , vol. 19 no. 6
Type: Research Article
ISSN: 1726-0531

Keywords

Access Restricted. View access options
Article
Publication date: 27 June 2023

Anshuman Kumar, Chandramani Upadhyay, Ram Subbiah and Dusanapudi Siva Nagaraju

This paper aims to investigate the influence of “BroncoCut-X” (copper core-ZnCu50 coating) electrode on the machining of Ti-3Al-2.5V in view of its extensive use in aerospace and…

74

Abstract

Purpose

This paper aims to investigate the influence of “BroncoCut-X” (copper core-ZnCu50 coating) electrode on the machining of Ti-3Al-2.5V in view of its extensive use in aerospace and medical applications. The machining parameters are selected as Spark-off Time (SToff), Spark-on Time (STon), Wire-speed (Sw), Wire-Tension (WT) and Servo-Voltage (Sv) to explore the machining outcomes. The response characteristics are measured in terms of material removal rate (MRR), average kerf width (KW) and average-surface roughness (SA).

Design/methodology/approach

Taguchi’s approach is used to design the experiment. The “AC Progress V2 high precision CNC-WEDM” is used to conduct the experiments with ϕ 0.25 mm diameter wire electrode. The machining performance characteristics are examined using main effect plots and analysis of variance. The grey-relation analysis and fuzzy interference system techniques have been developed to combine (called grey-fuzzy reasoning grade) the experimental response while Rao-Algorithm is used to calculate the optimal performance.

Findings

The hybrid optimization result is obtained as SToff = 50µs, STon = 105µs, Sw = 7 m/min, WT = 12N and Sv=20V. Additionally, the result is compared with the firefly algorithm and improved gray-wolf optimizer to check the efficacy of the intended approach. The confirmatory test has been further conducted to verify optimization results and recorded 8.14% overall machinability enhancement. Moreover, the scanning electron microscopy analysis further demonstrated effectiveness in the WEDMed surface with a maximum 4.32 µm recast layer.

Originality/value

The adopted methodology helped to attain the highest machinability level. To the best of the authors’ knowledge, this work is the first investigation within the considered parametric range and adopted optimization technique for Ti-3Al-2.5V using the wire-electro discharge machining.

Details

World Journal of Engineering, vol. 21 no. 5
Type: Research Article
ISSN: 1708-5284

Keywords

1 – 10 of over 1000
Per page
102050