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Wyszukujesz frazę "Balasubramanian, A." wg kryterium: Autor


Wyświetlanie 1-5 z 5
Tytuł:
Optimization of process parameters using response surface methodology for the removal of phenol by emulsion liquid membrane
Autorzy:
Balasubramanian, A.
Venkatesan, S.
Powiązania:
https://bibliotekanauki.pl/articles/778338.pdf
Data publikacji:
2012
Wydawca:
Zachodniopomorski Uniwersytet Technologiczny w Szczecinie. Wydawnictwo Uczelniane ZUT w Szczecinie
Tematy:
emulsyjna membrana ciekła
metodologia powierzchni odpowiedzi
fenol
środki powierzchniowo-czynne
emulsion liquid membrane
response surface methodology
phenol
surfactant
Opis:
Emulsion liquid membrane technique (ELM) was used for the extraction of phenol from synthetic and industrial effluents. In this study, the liquid membrane used for phenol removal was composed of kerosene as the solvent, Span-80 as the surfactant and Sodium hydroxide as an internal reagent. Statistical experimental design was applied for the optimization of process parameters for the removal of phenol by ELM. The effects of process parameters namely, Surfactant concentration, membrane or organic to internal phase ratio (M/I) and emulsion to an external phase ratio (E/E) on the removal of phenol were optimized using a response surface method. The optimum conditions for the extraction of phenol using Response surface methodology were: surfactant concentration - 4.1802%, M/I ratio: 0.9987(v/v), and E/E ratio: 0.4718 (v/v). Under the optimized condition the maximum phenol extraction was found to be 98.88% respectively.
Źródło:
Polish Journal of Chemical Technology; 2012, 14, 1; 46-49
1509-8117
1899-4741
Pojawia się w:
Polish Journal of Chemical Technology
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Distribution and Seasonal Variation of Heavy Metals in Sediments of Muthupet Lagoon, Southeast Coast of India
Autorzy:
Balakrishnan, T.
Sundaramanickam, A.
Shekhar, S.
Balasubramanian, T.
Powiązania:
https://bibliotekanauki.pl/articles/125289.pdf
Data publikacji:
2015
Wydawca:
Polskie Towarzystwo Inżynierii Ekologicznej
Tematy:
seasonal variation
heavy metals
Muthupet lagoon
Opis:
This study deals with seasonal variation of heavy metals in sediments of Muthupet lagoon, Southeast coast of India from September 2011 to August 2012. The bulk sediments were association with sand, silt and clay. Geoaccumulation index (lgeo) was used to quantitatively assess the influences of heavy metal pollution. Heavy metals were determined by using Inductively Coupled Plasma Optical Emission Spectrometer (ICP-OES) and the results were compared to permissible limits of WHO/USEPA. The minimum concentration of heavy metals in all the stations were found during the post monsoon and summer seasons and the maximum concentration of heavy metals in all the stations were found during the premonsoon and monsoon seasons. The reason for the pollution was land drainage, irrigation through channels and municipal wastes and also the peak agricultural activities due to the release of fresh water from reservoirs. Among all the metals iron was found to be maximum in all the stations in postmonsoon and summer season followed by magnesium and manganese. Apart from these three metal, all other six metals are recorded in moderate range. The reason for the high concentration of these metals are anthropogenic activity, agriculture, aquaculture and the rivers regular in and out flow throughout the study duration in the lagoon area.
Źródło:
Journal of Ecological Engineering; 2015, 16, 3; 49-60
2299-8993
Pojawia się w:
Journal of Ecological Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Nanomedicine - a boon for respiratory disease management
Autorzy:
Balasubramanian, D.
Lavanya, S.J.
Girigoswami, A.
Girigoswami, K.
Powiązania:
https://bibliotekanauki.pl/articles/24200620.pdf
Data publikacji:
2023
Wydawca:
Stowarzyszenie Komputerowej Nauki o Materiałach i Inżynierii Powierzchni w Gliwicach
Tematy:
nanomedicine
asthma
chronic obstructive pulmonary disease
cystic fibrosis
respiratory diseases
nanomedycyna
astma
przewlekła obturacyjna choroba płuc
mukowiscydoza
choroby układu oddechowego
Opis:
Purpose: Respiratory diseases affect the lungs and other parts of the respiratory system. The respiratory disease affects hundreds of millions of humans, and premature death is observed in nearly four million people yearly. The major cause of the increase in this disease is the increased level of air pollution and higher tobacco usage in public places. Design/methodology/approach: We have used the search engines PubMed and Google Scholar for the keywords Respiratory diseases, Nanomaterials, diagnosis, Nanomedicine, and Target drug delivery; recent and relevant articles are selected for reviewing this paper. Findings: Nanomedicine is a recent field of research that deals with monitoring, repairing, theragnosis, and development of human biological systems at the sub-atomic level, where we utilize engineered nanodevices and nanostructures. The conventional therapeutic strategies designed for respiratory diseases have limited solubility and bioavailability. Moreover, the robust effect of the drugs led to adverse side effects due to their high dose requirement. The local delivery of therapeutic Nanoparticles (NPs) or drug-loaded nano vehicles to the lung is a safe technique for managing various respiratory tract-related diseases like chronic obstructive pulmonary diseases, cystic fibrosis, lung cancer, tuberculosis, asthma, and infection. To overcome the difficulties of conventional treatment with antibiotics and anti-inflammatory drugs, nano-enabled drug delivery, nanoformulations of drugs as well as drug nanoencapsulation have been used recently. In this mini-review, we will discuss the importance and application of nanomedicine for diagnosis, treatment and clinical research involved in the different types of respiratory diseases. Practical implications: Nanomedicine provides an alternative delivery of drugs with the help of various nanocarriers, which enhances controlled drug delivery at the pulmonary region and can be used for treating and diagnosing respiratory diseases in vivo and in vitro studies. Further experiments followed by clinical examination are warranted to prove the potential application of nanomedicine in treating respiratory disease. Originality/value: This mini-review will help the readers and budding scientists apply new methods for developing highly efficient drugs with low side effects and improved targeted sites of action.
Źródło:
Archives of Materials Science and Engineering; 2023, 119, 2; 71--85
1897-2764
Pojawia się w:
Archives of Materials Science and Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Collision-free autonomous robot navigation in unknown environments utilizing PSO for path planning
Autorzy:
Krell, Evan
Sheta, Alaa
Balasubramanian, Arun Prassanth Ramaswamy
King, Scott A.
Powiązania:
https://bibliotekanauki.pl/articles/91555.pdf
Data publikacji:
2019
Wydawca:
Społeczna Akademia Nauk w Łodzi. Polskie Towarzystwo Sieci Neuronowych
Tematy:
mobile robot
particle swarm optimization (PSO)
path planning
Opis:
The autonomous navigation of robots in unknown environments is a challenge since it needs the integration of a several subsystems to implement different functionality. It needs drawing a map of the environment, robot map localization, motion planning or path following, implementing the path in real-world, and many others; all have to be implemented simultaneously. Thus, the development of autonomous robot navigation (ARN) problem is essential for the growth of the robotics field of research. In this paper, we present a simulation of a swarm intelligence method is known as Particle Swarm Optimization (PSO) to develop an ARN system that can navigate in an unknown environment, reaching a pre-defined goal and become collision-free. The proposed system is built such that each subsystem manipulates a specific task which integrated to achieve the robot mission. PSO is used to optimize the robot path by providing several waypoints that minimize the robot traveling distance. The Gazebo simulator was used to test the response of the system under various envirvector representing a solution to the optimization problem.onmental conditions. The proposed ARN system maintained robust navigation and avoided the obstacles in different unknown environments. vector representing a solution to the optimization problem.
Źródło:
Journal of Artificial Intelligence and Soft Computing Research; 2019, 9, 4; 267-282
2083-2567
2449-6499
Pojawia się w:
Journal of Artificial Intelligence and Soft Computing Research
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-5 z 5

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