An ingenious device for better prediction of bio-processes using a multiple regression model: A case study on glucose isomerase production
An ingenious device in the use of a multiple regression analysis model for better prediction of state variable changes in bio-processes is proposed. A correction factor was introduced in the regression equations for the estimation of specific rate parameters taking into account the data distribution...
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Veröffentlicht in: | Journal of fermentation and bioengineering 1998-01, Vol.86 (1), p.141-143 |
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container_title | Journal of fermentation and bioengineering |
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creator | Teeradakorn, Siriluk Kishimoto, Michimasa Pinphanichakarn, Pairoh Yoshida, Toshiomi |
description | An ingenious device in the use of a multiple regression analysis model for better prediction of state variable changes in bio-processes is proposed. A correction factor was introduced in the regression equations for the estimation of specific rate parameters taking into account the data distribution resulting in the improvement of the prediction of glucose isomerase production by a
Streptomyces fusant during a batch cultivation with periodical monitoring. |
doi_str_mv | 10.1016/S0922-338X(98)80049-4 |
format | Article |
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language | eng |
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subjects | Biological and medical sciences CASE STUDIES ESTUDIOS DE CASOS PRACTICOS ETUDE DE CAS FORECASTING Fundamental and applied biological sciences. Psychology General aspects GLUCOSA GLUCOSE glucose isomerase ISOMERASAS ISOMERASE ISOMERASES Mathematics in biology. Statistical analysis. Models. Metrology. Data processing in biology (general aspects) MODELE MODELOS prediction regression analysis statistical method STREPTOMYCES TECHNIQUE DE PREVISION TECNICAS DE PREDICCION xylan |
title | An ingenious device for better prediction of bio-processes using a multiple regression model: A case study on glucose isomerase production |
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