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Titolo:
Numerical tests for usefulness of power-law formalism method in parameter optimization problem of immobilized enzyme reaction
Autore:
Hasegawa, T; Shiraishi, F; Nagasue, H;
Indirizzi:
Shizuoka Univ, Fac Engn, Dept Syst Engn, Hamamatsu, Shizuoka 4328561, Japan Shizuoka Univ Hamamatsu Shizuoka Japan 4328561 u, Shizuoka 4328561, Japan Kyushu Inst Technol, Dept Biochem Engm & Sci, Iizuka, Fukuoka 8208502, Japan Kyushu Inst Technol Iizuka Fukuoka Japan 8208502 , Fukuoka 8208502, Japan Sasebo Coll Technol, Dept Biol & Chem Engn, Sasebo 8571193, Japan Sasebo Coll Technol Sasebo Japan 8571193 hem Engn, Sasebo 8571193, Japan
Titolo Testata:
JOURNAL OF CHEMICAL ENGINEERING OF JAPAN
fascicolo: 2, volume: 33, anno: 2000,
pagine: 197 - 204
SICI:
0021-9592(200004)33:2<197:NTFUOP>2.0.ZU;2-T
Fonte:
ISI
Lingua:
ENG
Soggetto:
NONLINEAR ALGEBRAIC EQUATIONS; MAXIMUM REACTION-RATE; DIFFERENTIAL-EQUATIONS; MICHAELIS CONSTANT; SYSTEMS; FORM;
Keywords:
power-law formalism; least square method; immobilized enzyme; parameters estimation; numerical calculations;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Engineering, Computing & Technology
Citazioni:
15
Recensione:
Indirizzi per estratti:
Indirizzo: Hasegawa, T Shizuoka Univ, Fac Engn, Dept Syst Engn, Hamamatsu, Shizuoka 4328561, Japan Shizuoka Univ Hamamatsu Shizuoka Japan 4328561 4328561, Japan
Citazione:
T. Hasegawa et al., "Numerical tests for usefulness of power-law formalism method in parameter optimization problem of immobilized enzyme reaction", J CHEM EN J, 33(2), 2000, pp. 197-204

Abstract

The performances of the power-law formalism method (PLFM) and Newton-Raphson method (NRM) are compared by applying them to a non-linear least square problem for determination of the maximum reaction rate, V-m, and Michaelis constant, K-m, in an immobilized enzyme system following Michaelis-Menten kinetics. A detailed numerical investigation indicates that 1) the accuracies of the solutions (V-m and K-m) obtained by these two methods are almost the same and very high; 2) however, the rate of convergence in PLFM is higher than that in NRM; and 3) the basin of attraction for PLFM is much wider than that of NRM. Advantages of PLFM are discussed based on the experimentaldata in the hydrolysis of soluble starch by glucoamylase immobilized on a porous honeycomb monolith. The result suggests that the nonlinear least-square method combined with PLFM is useful for many optimization problems in engineering fields.

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Documento generato il 31/03/20 alle ore 22:41:23