scholarly journals Distribution-Based Identification of Yield Coefficients in a Baker’s Yeast Bioprocess

2012 ◽  
Vol 2012 ◽  
pp. 1-21
Author(s):  
Dorin Sendrescu
Keyword(s):  
Algebraic System ◽  
Linear Equations ◽  
Distribution Theory ◽  
Baker’S Yeast ◽  
Baker's Yeast ◽  
State Variables ◽  
Algebraic Equations ◽  
Test Functions ◽  
State Equations ◽  
Unknown Parameters

A distribution-based identification procedure for estimation of yield coefficients in a baker’s yeast bioprocess is proposed. This procedure transforms a system of differential equations to a system of algebraic equations with respect to unknown parameters. The relation between the state variables is represented by functionals using techniques from distribution theory. A hierarchical structure of identification is used, which allows obtaining a linear algebraic system of equations in the unknown parameters. The coefficients of this algebraic system are functionals depending on the input and state variables evaluated through some test functions from distribution theory. First, only some state equations are evaluated throughout test functions to obtain a set of linear equations in parameters. The results of this first stage of identification are used to express other parameters by linear equations. The process is repeated until all parameters are identified. The performances of the method are analyzed by numerical simulations.

The Optimal Control Approach to Dynamical Inverse Problems

2012 ◽  
Vol 134 (2) ◽  
Author(s):  
Wolfgang Steiner ◽  
Stefan Reichl
Keyword(s):  
Optimal Control ◽  
Inverse Problems ◽  
Practical Importance ◽  
Differential Algebraic Equations ◽  
Performance Measure ◽  
State Variables ◽  
Algebraic Equations ◽  
State Equations ◽  
Solution Approach ◽  
Control Approach

This paper considers solution strategies for “dynamical inverse problems,” where the main goal is to determine the excitation of a dynamical system, such that some output variables, which are derived from the system’s state variables, coincide with desired time functions. The paper demonstrates how such problems can be restated as optimal control problems and presents a numerical solution approach based on the method of steepest descent. First, a performance measure is introduced, which characterizes the deviation of the output variables from the desired values, and which is minimized by the solution of the inverse problem. Second, we show, how the gradient of this error functional can be computed efficiently by applying the theory of optimal control, in particular by following an idea of Kelley and Bryson. As the major contribution of this paper we present a modification of this method which allows the application to the case where the state equations are given by a set of differential algebraic equations. This situation has great practical importance since multibody systems are mostly described in this way. For comparison, we also discuss an approach which bases an a direct transcription of the optimal control problem. Moreover, other methods to solve dynamical inverse problems are summarized.

Multiparameter Identification in Linear Continuous Vibratory Systems

1971 ◽  
Vol 93 (1) ◽  
pp. 45-52 ◽  
Author(s):  
O. Bruce Dale ◽  
Raymond Cohen
Keyword(s):  
Differential Equations ◽  
Equations Of Motion ◽  
System Model ◽  
State Variables ◽  
State Equations ◽  
Unknown Parameters ◽  
Response Data ◽  
State Variable ◽  
Finite Set ◽  
Arbitrary Location

A method is presented for identifying unknown parameters in linear continuous vibratory systems from frequency response data. The method is applicable to systems for which the steady-state equations of motion are reducible to a finite set of ordinary differential equations. After assuming a system model of partial differential equations and boundary conditions containing unknown parameters, initial value numerical integrations are performed to identify the unknown parameters. No analytic solution to the system model is required. For the identification of conservative or near conservative systems, only resonant frequency data are used and, for the identification of nonconservative systems, the data may consist of any state variable or combination of state variables at any arbitrary location within the system. The use of multiple response transducers is not required.

COD REDUCTION OF BAKER'S YEAST WASTEWATER USING BATCH ELECTROCOAGULATION

2014 ◽  
Vol 13 (12) ◽  
pp. 3153-3160 ◽  
Author(s):  
Zakaria Al-Qodah ◽  
Mohammad Al-Shannag ◽  
Kholoud Alananbeh ◽  
Nahla Bouqellah ◽  
Eman Assirey ◽  
...  
Keyword(s):  
Baker’S Yeast ◽  
Baker's Yeast ◽  
Cod Reduction ◽  
Yeast Wastewater

The use of β-glucan extracted from baker’s yeast (Saccharomyces cerevisiae) to increase non-specific immune system and resistence of tilapia (Oreochromis niloticus) to Aeromonas hydrophila

2013 ◽  
pp. 92
Author(s):  
Ida N Jamal ◽  
Reiny A Tumbol ◽  
Remy E.P Mangindaan
Keyword(s):  
Saccharomyces Cerevisiae ◽  
Immune System ◽  
Aeromonas Hydrophila ◽  
Phagocytic Activity ◽  
Baker’S Yeast ◽  
Baker's Yeast ◽  
Yeast Saccharomyces Cerevisiae ◽  
Randomized Design ◽  
The Difference ◽  
Motile Aeromonas Septicaemia

Motile Aeromonas Septicaemia disease (MAS) attacking tilapia has increased in recent years as a consequence of intensive aquaculture activities, which led to losses in aquaculture industry. The agent causing MAS disease is Aeromonas hydrophila. The disease can be controlled with the β-glucan. As immunostimulants, β-glucans can also increase resistance in farmed tilapia. Studies on the use of β-glucan extracted from baker's yeast Saccharomyces cerevisiae was intended to evaluate the non-specific immune system of tilapia that were challenged with Aeromonas hydrophila. The method used was an experimental method with a completely randomized design consisting of four treatments with three replicats. The dose of β-glucan used as treatments were 0 mg.kg-1 fish (Control), 5 mg.kg-1 fish (B), 10 mg.kg-1 fish (C) and 20 mg.kg-1 fish (D), each treatment as injected three times at intervals of 3 days, the injection volume of 0.5 ml/fish for nine days and resistance surveillance for seven days. The results showed that the difference in the amount of β-glucan and the frequency of the injected real influence on total leukocytes, phagocytic activity and resistance. Total leukocytes, phagocytic activity and resistance to treatment was best achieved by the administration of C a dose of  10 mg.kg-1 of the fish© Penyakit Motil Aeromonas Septicaemia (MAS) yang menyerang ikan nila mengalami peningkatan selama beberapa tahun terakhir sebagai konsekuensi dari kegiatan akuakultur intensif, yang menyebabkan kerugian dalam industri budidaya. Agen utama penyebab penyakit MAS adalah Aeromonas hydrophila. Untuk mengendalikan penyakit tersebut dapat dilakukan dengan pemberian β-glukan. Sebagai imunostimulan, β-glukan juga dapat  meningkatkan resistensi pada ikan nila yang dibudidayakan. Pengkajian mengenai pemanfaatan β-glukan yang diekstrak dari ragi roti Saccharomyces cerevisiae dimaksudkan untuk menguji sistem imun non spesifik ikan nila yang diuji tantang dengan bakteri Aeromonas hydrophila. Metode yang digunakan yaitu metode eksperimen dengan rancangan acak lengkap yang terdiri dari empat perlakuan dan tiga ulangan. Dosis β-glukan  yang digunakan sebagai perlakuan sebesar 0 mg.kg-1 ikan (Kontrol), 5 mg.kg-1 ikan (B), 10 mg.kg-1 ikan (C) dan 20 mg.kg-1 ikan (D), masing-masing perlakuan diinjeksi sebanyak 3 kali dengan interval waktu 3 hari selama 9 hari, volume injeksi 0,5 mL/ekor ikan dan pengamatan resistensi selama tujuh hari. Hasil penelitian menunjukkan perbedaan jumlah β-glukan dan frekuensi pemberian yang diinjeksikan memberikan pengaruh nyata terhadap total leukosit, aktivitas fagositosis dan resistensi. Total leukosit, aktivitas fagositosis dan resistensi terbaik dicapai pada perlakuan C dengan dosis 10 mg.kg-1 ikan©

Improvement of cadaverine production in whole cell system with baker’s yeast for cofactor regeneration

2021 ◽  
Author(s):  
Yeong-Hoon Han ◽  
Hyun Joong Kim ◽  
Tae-Rim Choi ◽  
Hun-Suk Song ◽  
Sun Mi Lee ◽  
...  
Keyword(s):  
Cell System ◽  
Baker’S Yeast ◽  
Cofactor Regeneration ◽  
Baker's Yeast ◽  
Whole Cell

scholarly journals The preparation and characterization of highly purified, enzymically active complex III from baker's yeast.

1978 ◽  
Vol 253 (7) ◽  
pp. 2392-2399 ◽  
Author(s):  
J.N. Siedow ◽  
S. Power ◽  
F.F. de la Rosa ◽  
G. Palmer
Keyword(s):  
Baker’S Yeast ◽  
Complex Iii ◽  
Baker's Yeast ◽  
Active Complex
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