• Title/Summary/Keyword: batch processing

Search Result 297, Processing Time 0.021 seconds

Effects of Dissolved Oxygen on Fungal Morphology and Process Rheology During Fed-Batch Processing of Ganoderma lucidum

  • Fazenda, Mariana L.;Harvey, Linda M.;McNeil, Brian
    • Journal of Microbiology and Biotechnology
    • /
    • v.20 no.4
    • /
    • pp.844-851
    • /
    • 2010
  • Controlling the dissolved oxygen (DO) in the fed-batch culture of the medicinal mushroom Ganoderma lucidum led to a 2-fold increase of the maximum biomass productivity compared with uncontrolled DO conditions. By contrast, extracellular polysaccharide (EPS) production was two times higher under oxygen limitation (uncontrolled DO) than under increased oxygen availability (controlled DO). Morphologically, dispersed mycelium was predominant under controlled DO conditions, with highly branched hyphae, consistent with the enhanced culture growth noted under these conditions, whereas in the uncontrolled DO process mycelial clumps were the most common morphology throughout the culture. However, in both cultures, clamp connections were found. This is an exciting new finding, which widens the applicability of this basidiomycete in submerged fermentation. In rheological terms, broths demonstrated shear-thinning behavior with a yield stress under both DO conditions. The flow curves were best described by the Herschel-Bulkley model: flow index down to 0.6 and consistency coefficient up to 0.2 and 0.6 Pa $s^n$ in uncontrolled and controlled cultures DO, respectively. The pseudoplastic behavior was entirely due to the fungal biomass, and not to the presence of EPS (rheological analysis of the filtered broth showed Newtonian behavior). It is clear from this study that dissolved oxygen tension is a critical process parameter that distinctly influences G. lucidum morphology and rheology, affecting the overall performance of the process. This study contributes to an improved understanding of the process physiology of submerged fermentation of G. lucidum.

Fed-batch Culture of Recombinant E.coli for the Production of Penicillin G Amidase (Penicillin G Amidase생산을 위한 재조합 대장균의 유가배양에 관한 연구)

  • Lee, Sang-Mahn
    • Microbiology and Biotechnology Letters
    • /
    • v.36 no.4
    • /
    • pp.314-319
    • /
    • 2008
  • Penicillin G amidase (PGA, benzylpenicillinaminohydrolase, EC 3.5.1.11) is industrially important enzyme which converts penicillin G to 6-aminopenicillanic acid (6-APA) and phenylacetic acid (PAA). The PGA in E. coli ATCC 11105 is secreted into the periplasm after removing signal sequences and becomes heterodimer which composed of two subunits, small subunit (24 kDa) and large subunit (65 kDa). In this study, the PGA gene was obtained from E. coli ATCC 11105 using PCR (polymerase chain reaction) technique. The active PGA was successfully secreated into periplasm in E. coli BL2 1(DE3) harboring pET-pga plasmid. The optimized fed-batch fermentation, consisting of a three-step shift of culture temperature from $37^{\circ}C$ to $22^{\circ}C$, gave a productivity of 19.6 U/mL with a cell growth of 62 O.D. at 600 nm.

Modified Kernel PCA Applied To Classification Problem (수정된 커널 주성분 분석 기법의 분류 문제에의 적용)

  • Kim, Byung-Joo;Sim, Joo-Yong;Hwang, Chang-Ha;Kim, Il-Kon
    • The KIPS Transactions:PartB
    • /
    • v.10B no.3
    • /
    • pp.243-248
    • /
    • 2003
  • An incremental kernel principal component analysis (IKPCA) is proposed for the nonlinear feature extraction from the data. The problem of batch kernel principal component analysis (KPCA) is that the computation becomes prohibitive when the data set is large. Another problem is that, in order to update the eigenvectors with another data, the whole eigenspace should be recomputed. IKPCA overcomes these problems by incrementally computing eigenspace model and empirical kernel map The IKPCA is more efficient in memory requirement than a batch KPCA and can be easily improved by re-learning the data. In our experiments we show that IKPCA is comparable in performance to a batch KPCA for the feature extraction and classification problem on nonlinear data set.

A Time-Series Data Prediction Using TensorFlow Neural Network Libraries (텐서 플로우 신경망 라이브러리를 이용한 시계열 데이터 예측)

  • Muh, Kumbayoni Lalu;Jang, Sung-Bong
    • KIPS Transactions on Computer and Communication Systems
    • /
    • v.8 no.4
    • /
    • pp.79-86
    • /
    • 2019
  • This paper describes a time-series data prediction based on artificial neural networks (ANN). In this study, a batch based ANN model and a stochastic ANN model have been implemented using TensorFlow libraries. Each model are evaluated by comparing training and testing errors that are measured through experiment. To train and test each model, tax dataset was used that are collected from the government website of indiana state budget agency in USA from 2001 to 2018. The dataset includes tax incomes of individual, product sales, company, and total tax incomes. The experimental results show that batch model reveals better performance than stochastic model. Using the batch scheme, we have conducted a prediction experiment. In the experiment, total taxes are predicted during next seven months, and compared with actual collected total taxes. The results shows that predicted data are almost same with the actual data.

Feature Extraction of Radar Signals Using Streaming Process (스트리밍 처리에 의한 레이더 신호 특성 추출)

  • Kim, Gwan-Tae;Ju, Young-Kwan;Jeon, Joongnam
    • Journal of Convergence for Information Technology
    • /
    • v.10 no.12
    • /
    • pp.31-38
    • /
    • 2020
  • Radar signal identification of electronic warfare is a technology that recognizes the pulse repetition interval (PRI) from a set of pulse description words (PDWs) generated by the signal receiver. Conventionally batch processing is widely used in which a number of PDWs are collected as a unit and identifies PRI from the batch. In this paper, we propose a feature extraction algorithm based on the streaming process. This technique does not wait to form a batch. Whenever a PDW(Pulse Description Word) is generated from the signal receiver, the streaming process tries to form a cluster of PDWs, and makes the DTOA (Difference of Time of Arrival) histogram, finds out the frame PRI based on the concentration ratio, and decides the number of stagger stages. Experiments proved that the proposed algorithm derives stable recognition results as the cluster size increases.

Effect of Master Batch and Compatibilizer on the Physical and Rheological Properties of PP/CNF Composite (PP/CNF 복합체의 물리적 성질 및 유변학적 특성에 대한 마스터배치와 상용화제의 영향)

  • San Kang;Yoo Jin Lee;Youn Cheol Kim
    • Applied Chemistry for Engineering
    • /
    • v.35 no.5
    • /
    • pp.418-422
    • /
    • 2024
  • Polypropylene (PP)/CNF composites containing 3, 7, and 10 phr of cellulose nanofibers (CNF) were manufactured using a twin-screw extruder. CNF was introduced in the form of powder or master batch (MB) into ethylene-acrylic acid copolymer (EEA), and maleic anhydride grafted PP (PP-g-MAH) was used as a compatibilizer. The results of measuring the tensile strength and flexural strength showed that the degree of improvement in the mechanical properties of the PP/CNF composites applied with the compatibilizer was the greatest. This was confirmed by the morphological analysis of SEM, which was due to the increased compatibility between PP and CNF. It was confirmed that the complex viscosity of the PP/CNF composite in the low frequency range was higher than that of pure PP, but there was no significant difference in processing characteristics due to the increase in shear thinning phenomenon.

Customer Order Scheduling Problems with a Fixed Machine-Job Assignment

  • Yang, Jae-Hwan;Rho, Yoo-Mi
    • Management Science and Financial Engineering
    • /
    • v.11 no.2
    • /
    • pp.19-43
    • /
    • 2005
  • This paper considers a variation of the customer order scheduling problem, and the variation is the case where the machine-job assignment is fixed. We examine the parallel machine environment, and the objective is to minimize the sum of the completion times of the batches. While a machine can process only one job at a time, different machines can simultaneously process different jobs in a batch. The recognition version of this problem is known to be NP-complete in the strong sense even if there exist only two parallel machines. When there are an arbitrary number of parallel machines, we establish three lower bounds and develop a dynamic programming (DP) algorithm which runs in exponential time on the number of batches. We present two simple but intuitive heuristics, SB and GR, and find some special cases where SB and GR generate an optimal schedule. We also find worst case upper bounds on the relative error. For the case of the two parallel machines, we show that GR generates an optimal schedule when processing times of all batches are equal. Finally, the heuristics and the lower bounds are empirically evaluated.

Acetone-Butanol-Ethanol (ABE) Production in Fermentation of Enzymatically Hydrolyzed Cassava Flour by Clostridium beijerinckii BA101 and Solvent Separation

  • Lepiz-Aguilar, Leonardo;Rodriguez-Rodriguez, Carlos E.;Arias, Maria Laura;Lutz, Giselle
    • Journal of Microbiology and Biotechnology
    • /
    • v.23 no.8
    • /
    • pp.1092-1098
    • /
    • 2013
  • Cassava constitutes an abundant substrate in tropical regions. The production of butanol in ABE fermentation by Clostridium beijerinckii BA101 using cassava flour (CF) was scaled-up to bioreactor level (5 L). Optimized fermentation conditions were applied; that is, $40^{\circ}C$, 60 g/l CF, and enzymatic pretreatment of the substrate. The batch fermentation profile presented an acidogenic phase for the first 24 h and a solventogenic phase afterwards. An average of 37.01 g/l ABE was produced after 83 h, with a productivity of 0.446 g/l/h. Butanol production was 25.71 g/l with a productivity of 0.310 g/l/h, high or similar to analogous batch processes described for other substrates. Solvent separation by different combinations of fractioned and azeotropic distillation and liquid-liquid separation were assessed to evaluate energetic and economic costs in downstream processing. Results suggest that the use of cassava as a substrate in ABE fermentation could be a cost-effective way of producing butanol in tropical regions.

The Precision Validation of the Precise Baseline Determination for Satellite Formation

  • Choi, Jong-Yeoun;Lee, Sang-Jeong
    • Journal of Astronomy and Space Sciences
    • /
    • v.28 no.1
    • /
    • pp.63-70
    • /
    • 2011
  • The needs for satellite formation flying are gradually increasing to perform the advanced space missions in remote sensing and observation of the space or Earth. Formation flying in low Earth orbit can perform the scientific missions that cannot be realized with a single spacecraft. One of the various techniques of satellite formation flying is the determination of the precise baselines between the satellites within the formation, which has to be in company with the precision validation. In this paper, the baseline of Gravity Recovery and Climate Experiment (GRACE) A and B was determined with the real global positioning system (GPS) measurements of GRACE satellites. And baseline precision was validated with the batch and sequential processing methods using K/Ka-band ranging system (KBR) biased range measurements. Because the proposed sequential method validate the baseline precision, removing the KBR bias with the epoch difference instead of its estimation, the validating data (KBR biased range) are independent of the data validated (GPS-baseline) and this method can be applied to the real-time precision validation. The result of sequential precision validation was 1.5~3.0 mm which is similar to the batch precision validation.

Novel Cationic Microbial Polyglucosamine Biopolymer from New Enterobacter sp. BL-2 and Its Bioflocculation Efficacy

  • SON MI-KYUNG;SHIN HYUN-DONG;HUH TAE-LIN;JANG JIN-HO;LEE YONG-HYUN
    • Journal of Microbiology and Biotechnology
    • /
    • v.15 no.3
    • /
    • pp.626-632
    • /
    • 2005
  • A new bacterium BL-2 excreting a novel cationic polyglucosamine biopolymer was isolated from the spoiled leaves of Chinese cabbage and identified as Enterobacter sp. BL-2. The isolated Enterobacter sp. BL-2 was cultivated in pH-stat fed-batch culture using acetic acid as the feeding stock at pH 8.0, resulting in 17.11 g/l of cells and 1.53 g/l of an extracellular biopolymer after 72 h. The excreted biopolymer was purified by a three-step procedure, involving ethanol precipitation and deproteinizations, to a nearly homogeneous state, and its molecular weight was found to be 106 kDa. It was composed of glucosamine, rhamnose, and galactose at a molar ratio of 86.4:1.6:1.0, respectively, indicating a rarely found novel high-glucosamine-containing biopolymer. The FT-IR and $^{13}C-NMR$ spectra of the novel cationic polyglucosamine biopolymer PGB-l revealed a close identity with chitosan from crab shell. It can effectively flocculate various suspended solids, including kaolin clay, $Ca(OH)_2,\;Al_{2}O_3$, active carbon, microbial cells, and acidic dyes.