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- 저자 : Manoranjan M (검색결과 13 건)
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( Manoranjan Nayak ),( Swagat S Rath ),( Manikkannan Thirunavoukkarasu ),( Prasanna K Panda ),( Barada K Mishra ),( Rama C Mohanty ) 한국미생물 · 생명공학회 2013 Journal of microbiology and biotechnology Vol.23 No.9
A series of experiments were carried out with three native strains of microalgae to measure growth rates, biomass, and lipid productivities. Scenedesmus sp. IMMTCC-6 had better biomass growth rate and higher lipid production. The growth, lipid accumulation, and carbon dioxide (CO2) consumption rate of Scenedesmus sp. IMMTCC-6 were tested under different NaOH concentrations in modified BBM. The algal strain showed the maximum specific growth rate (0.474/day), biomass productivity (110.9 mg l-1d-1), and CO2 consumption rate (208.4 mg l-1d-1) with an NaOH concentration of 0.005 M on the 8th day of cultivation. These values were 2.03-, 6.89-, and 6.88-fold more than the algal cultures grown in control conditions (having no NaOH and CO2). The CO2 fixing efficiency of the microalga with other alternative carbon sources like Na2CO3 and NaHCO3 was also investigated and compared. The optimized experimental parameters at shake-flask scale were implemented for scaling up the process in a self-engineered photobioreactor. A significant increase in lipid accumulation (14.23% to 31.74%) by the algal strain from the logarithmic to stationary phases was obtained. The algal lipids were mainly composed of C16/C18 fatty acids, and are desirable for biodiesel production. The study suggests that microalga Scenedesmus sp. IMMTCC-6 is an efficient strain for biodiesel production and CO2 biofixation using stripping solution of NaOH in a cyclic process.
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Nayak, Manoranjan,Suh, William I.,Lee, Bongsoo,Chang, Yong Keun Elsevier 2018 Energy conversion and management Vol.156 No.-
<P><B>Abstract</B></P> <P>The optimum concentration of dissolved carbon in the microalgal culture medium is a vital requirement for enhanced biomass production. The present study investigates the effect of supplying NaHCO<SUB>3</SUB> with CO<SUB>2</SUB> as the inorganic carbon source to enhance the utilization efficiency of CO<SUB>2</SUB> for maximum FAME productivity of <I>Chlorella</I> sp. HS2. The specific growth rate (0.615 d<SUP>−1</SUP>), biomass productivity (530.1 mg L<SUP>−1</SUP> d<SUP>−1</SUP>), CO<SUB>2</SUB> biofixation rate (996.4 mg L<SUP>−1</SUP> d<SUP>−1</SUP>), FAME productivity (141.8 mg L<SUP>−1</SUP> d<SUP>−1</SUP>) and FAME content (26.76%) were found to be maximized at NaHCO<SUB>3</SUB> concentration of 0.5 g L<SUP>−1</SUP> with 1% (v/v) CO<SUB>2</SUB> enriched air (0.25 vvm flow rate) supplementation in shake flask condition. The FAME productivity (169.37 mg L<SUP>−1</SUP> d<SUP>−1</SUP>) and FAME content (31.2%) were 1.19 and 1.16 times higher respectively in the flat panel photobioreactor than in shake flask condition. Fatty acid profile and biofuel properties show suitability for biodiesel production. The economic assessment revealed that combining supplementation of both carbon sources greatly reduces the carbon supply costs, from $8.92 Kg<SUP>−1</SUP> when only NaHCO<SUB>3</SUB> was used as the carbon source down to $0.86 Kg<SUP>−1</SUP> when 1% CO<SUB>2</SUB> was supplied alongside NaHCO<SUB>3</SUB>. These findings show that combined application of NaHCO<SUB>3</SUB> and CO<SUB>2</SUB> is the more cost-effective approach of supplying carbon source to microalgae for FAME production.</P> <P><B>Highlights</B></P> <P> <UL> <LI> Maximum biomass and FAME productivity occurred at 0.5 g L<SUP>−1</SUP> NaHCO<SUB>3</SUB> and 1% CO<SUB>2</SUB>. </LI> <LI> Up to 542.9 mg L<SUP>−1</SUP> d<SUP>−1</SUP> biomass productivity and 31.2% FAME content were achieved. </LI> <LI> FAME profile showed that <I>Chlorella</I> sp. HS2 lipid was suitable for use as biodiesel. </LI> <LI> Carbon input cost for FAME was reduced to $0.72 Kg<SUP>−1</SUP> with both carbon sources. </LI> </UL> </P> <P><B>Graphical abstract</B></P> <P>[DISPLAY OMISSION]</P>
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N. PADMA,MANORANJAN GHOSH,SHASHWATI SEN,R. TEWARI 성균관대학교(자연과학캠퍼스) 성균나노과학기술원 2014 NANO Vol.9 No.6
Nanocomposites of n-type Zinc Oxide (ZnO) and p-type copper phthalocyanine (CuPc) weresynthesized using solution route and the electrical properties of heterojunctions of ZnO and CuPcin the nanocomposite ¯lm was studied. For comparison, electrical properties of bilayer hetero-junction devices using ZnO nanostructure drop cast ¯lm and thermally evaporated CuPc werealso studied. Recti¯cation ratio (RR) of about 28 and 5.5 was obtained at 4 V for devices withnanocomposite ¯lm and bilayer heterojunctions indicating improved formation of p – n junctioncharacteristics for nanocomposite ¯lms. Values of ideality factor, barrier height at the p – njunction interface and series resistance were estimated using di®erent methods like semilog plots,Cheung and Norde's methods. Ideality factor estimated from semilog plots and Cheung'smethods were found to be higher than unity indicating deviation from ideal diode behavior. Barrier height estimated from di®erent methods was about 0.7 eV. Series resistance measuredusing Cheung and Norde's methods were found to be about 92 K ? and 21 K ? , respectively. Bilayer heterojunction devices exhibited much higher series resistance, ideality factor and barrierheight as estimated using all the above-mentioned methods as compared to the devices withnanocomposite ¯lm. The above results indicate intimate mixing and improved interface betweenZnO and CuPc in the in situ synthesized nanocomposite ¯lm thereby o®ering improved p – njunction characteristics.
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MULTI-ITEM SHELF-SPACE ALLOCATION OF BREAKABLE ITEMS VIA GENETIC ALGORITHM
MAITI, MANAS KUMAR,MAITI, MANORANJAN 한국전산응용수학회 2006 Journal of applied mathematics & informatics Vol.20 No.1
A general methodology is suggested to solve shelf-space allocation problem of retailers. A multi-item inventory model of breakable items is developed, where items are either complementary or substitute. Demands of the items depend on the amount of stock on the showroom and unit price of the respective items. Also demand of one item decreases (increases) due to the presence of others in case of substitute (complementary) product. For such a model, a Contractive Mapping Genetic Algorithm (CMGA) has been developed and implemented to find the values of different decision variables. These are evaluated to have maximum possible profit out of the proposed system. The system has been illustrated numerically and results for some particular cases are derived. The results are compared with some other heuristic approaches- Simulated Annealing (SA), simple Genetic Algorithm (GA) and Greedy Search Approach (GSA) developed for the present model.
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A MULTIOBJECTIVE MODEL OF WHOLESALER-RETAILERS' PROBLEM VIA GENETIC ALGORITHM
MAHAPATRA, NIRMAL KUMAR,BHUNIA, ASOKE KUMAR,MAITI, MANORANJAN 한국전산응용수학회 2005 Journal of applied mathematics & informatics Vol.19 No.1
In the existing literature, most of the purchasing models were developed only for retailers problem ignoring the constraint of storage capacity of retailers shop/showroom. In this paper, we have developed a deterministic model of wholesaler-retailers' problem of single product. The storage capacity of wholesaler's warehouse/showroom and retailers' showroom/shop are assumed to be finite. The items are transported from wholesaler's warehouse to retailers' Own Warehouse (OW) in a lot. The customer's demand is assumed to be displayed inventory level dependent. Demands are met from OW and that spaces of OW will immediately be filled by shifting the same amount from the Rented Warehouse (RW) till the RW is empty. The time duration between selling from OW and filling up its space by new ones from RW is negligible. According to relative size of the retailers' existing (own) warehouse capacity and the demand factors, different scenarios are identified. Our objectives are to optimize the cost functions of wholesaler and two retailers separately. To solve this problem, a real coded Genetic Algorithm (GA) with roulette wheel selection/reproduction, whole arithmetic crossover and non-uniform mutation is developed. Finally a numerical example is presented to illustrate the results for different scenarios. To compare the results of GA, Generalised Reduced Gradient Method has been used for the problem. Also, a sensitivity analysis has been performed to study the variations of the optimal average cost with respect to the different parameters.
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A multiobjective model of wholesaler-retailers' problem via genetic algorithm
Nirmal Kumar Mahapatra,Asoke Kumar Bhunia,Manoranjan Maiti 한국전산응용수학회 2005 Journal of applied mathematics & informatics Vol.19 No.1-2
In the existing literature, most of the purchasing models were developed only for retailers problem ignoring the constraint of storage capacity of retailers shop/showroom. In this paper, we have developed a deterministic model of wholesaler-retailers’ problem of single product. The storage capacity of wholesaler’s warehouse/showroom and retailers’ showroom/shop are assumed to be finite. The items are transported from wholesaler’s warehouse to retailers’ Own Warehouse (OW) in a lot. The customer’s demand is assumed to be displayed inventory level dependent. Demands are met from OW and that spaces of OW will immediately be filled by shifting the same amount from the Rented Warehouse (RW) till the RW is empty.The time duration between selling from OW and filling up its space by new ones from RW is negligible. According to relative size of the retailers’ existing (own) warehouse capacity and the demand factors, different scenarios are identified. Our objectives are to optimize the cost functions of wholesaler and two retailers separately. To solve this problem, a real coded Genetic Algorithm (GA) with roulette wheel selection/ reproduction, whole arithmetic crossover and non-uniform mutation is developed. Finally a numerical example is presented to illustrate the results for different scenarios. To compare the results of GA, Generalised Reduced Gradient Method has been used for the problem. Also, a sensitivity analysis has been performed to study the variations of the optimal average cost with respect to the different parameters.
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Effect of Pt or Pd doping on stability of TiO2 nanoparticle suspension in water
Komkrit Suttiponparnit,Tawatchai Charinpanitkul,Vinay Tiwari,Manoranjan Sahu,Pratim Biswas,Sirikalaya Suvachittanont 한국공업화학회 2013 Journal of Industrial and Engineering Chemistry Vol.19 No.1
Stability of suspensions of TiO2 nanoparticles synthesized by the flame aerosol reactor (FLAR) could be altered by doping TiO2 nanoparticles with Pt, Pd, or Pt–Pd dopants. It was found that doping of TiO2 with Pd or Pt could contribute to the control of the agglomeration of TiO2 suspended in water. With the change of doping content, the isoelectric point (IEP) of stable TiO2 suspension decreased gradually from 5 to 3.6while the specific surface area was increased from 43.27 to 60.84 m2/g. With pH > 6.0, 2 wt% Pt–Pd/TiO2suspension exhibited the lowest agglomeration behavior. The plausible intrinsic structures of Pt, Pd, and Pt–Pd doped TiO2 nanoparticles were proposed and discussed with respect to their IEP based on the DLVO theory.
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