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Kongu Engineering College

About: Kongu Engineering College is a based out in . It is known for research contribution in the topics: Cluster analysis & Control theory. The organization has 2001 authors who have published 1978 publications receiving 16923 citations.


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Journal ArticleDOI
TL;DR: Foam mat drying is an economical alternative to drum, spray and freeze-drying for the production of food powders as discussed by the authors, which can be used for large-scale production of fruit powders because of its suitability for all types of juices, rapid drying at lower temperature, retention of nutritional quality, easy reconstitution and cost-effective for producing easily reconstitutable juice powders.
Abstract: Foam mat drying is an economical alternative to drum, spray and freeze-drying for the production of food powders. The liquid is whipped to form stable foam, and dehydrated by thermal means. The larger surface area of the foam accelerated the drying process for the rapid moisture removal from the high moisture feed. A high-quality food powder can be obtained by the proper selection of foaming method, foaming agents, foam stabilizers, time taken for foaming, suitable drying method and temperature. In this article, the basics of foam and its structure, methods of foaming, types of foaming method and stabilizing agents for the production of stable foam have been analyzed. The influence of foaming agents and foaming properties on the drying characteristics of fruit juices are also studied. This article reviewed the application of foam drying process for different food materials, the microstructure and the quality of powders obtained by using different foaming agents. Practical Application The renewed foam mat drying is considerably cheaper than freeze and spray drying for the production of fruit powders. This process can be used for large-scale production of fruit powders because of its suitability for all types of juices, rapid drying at lower temperature, retention of nutritional quality, easy reconstitution and cost-effective for producing easily reconstitutable juice powders. Fruit juice powders obtained through this process have high economic potentials over their liquid counterparts such as reduced volume or weight, reduced storage space, simpler handling and transportation, and much longer shelf life. The fruit powders obtained through this method can find applications in snacks, beverages, ice creams, bakery products, as a starter for the preparation of instant foods, pastes, etc.

103 citations

Journal ArticleDOI
TL;DR: In this paper, the authors investigated the influence of independent process variables like extraction temperature, time and mass of beetroot on the aqueous extraction of betalain from beetroot.

103 citations

Journal ArticleDOI
TL;DR: The optimum microwave assisted extraction conditions for the highest pectin yield from WMP was found to be: microwave power of 413W, pH of 2.7, time of 134s and solid-liquid ratio of 1:18g/ml, well correlated with predicted value at the optimal condition.

102 citations

Journal ArticleDOI
TL;DR: Through this work the hebbian algorithm on non-linear units is used for training FCMs for the autistic disorder prediction problem and the investigated approach serves as a guide in determining the prognosis and in planning the appropriate therapies to special children.
Abstract: The soft computing technique of fuzzy cognitive maps (FCM) for modeling and predicting autistic spectrum disorder has been proposed. The FCM models the behavior of a complex system and is used to develop new knowledge based system applications. FCM combines the robust properties of fuzzy logic and neural networks. To overwhelm the limitations and to improve the efficiency of FCM, a good learning method of unsupervised training could be applied. A decision system based on human knowledge and experience with a FCM trained using unsupervised non-linear hebbian learning algorithm is proposed here. Through this work the hebbian algorithm on non-linear units is used for training FCMs for the autistic disorder prediction problem. The investigated approach serves as a guide in determining the prognosis and in planning the appropriate therapies to special children.

100 citations

Journal ArticleDOI
TL;DR: In this paper, the authors summarized and reviewed the electrochemical performance and applications of various graphene composite materials such as graphene/polyaniline, polypyrrole, graphene polyoxide, metal oxide, activated carbon, carbon nanotube as an electrode material towards highly efficient supercapacitors and also dealt with symmetric, asymmetric and hybrid nature of the graphene based supercapACitor.
Abstract: The latest trend in the direction of miniaturized portable electronic devices has brought up necessitate for rechargeable energy sources Among the various non conventional energy devices, the supercapacitor is the promising candidate for gleaning the energy Supercapacitor, as a new energy device that colligates the gap between conventional capacitors and batteries, it has attracted more attention due to its high power density and long cycle life Many researchers work on, synthesizing new electrode material for the development of supercapacitor The electrode material possesses salient structure and electrochemical properties exhibit the efficient performance of the supercapacitor Graphene has high carrier mobility, thermal conductivity, elasticity and stiffness and also has a theoretical specific capacitance of 2630 m2g− 1 corresponds to a specific capacitance of 550 Fg− 1 This article summarizes and reviews the electrochemical performance and applications of various graphene composite materials such as graphene/polyaniline, graphene/polypyrrole, graphene/metal oxide, graphene/activated carbon, graphene/carbon nanotube as an electrode materials towards highly efficient supercapacitors and also dealt with symmetric, asymmetric and hybrid nature of the graphene based supercapacitor

99 citations


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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202221
2021572
2020234
2019121
2018143
2017136