К содержанию
РецензированоEN2020

OPTIMIZATION OF ACTINOKINASE SYNTHESIS FROM LOCAL ISOLATE USING RESPONSE SURFACE METHODOLOGY: OPTIMIZATION OF PHYSICAL CONDITIONS

Mawada Elimam Ibrahim

The American Journal of Applied sciences · 05 · 2020

Аннотация

This study aims to optimize the synthesis of actinokinase from a local isolate by focusing on the optimization of physical conditions using Response Surface Methodology (RSM). Actinokinase is an enzyme with significant potential in various industries, including pharmaceuticals and biotechnology. The physical conditions, including temperature, pH, and agitation rate, are critical factors influencing actinokinase production. RSM, a statistical tool, allows for the simultaneous optimization of multiple variables, enabling the determination of the optimal physical conditions for actinokinase synthesis. By employing RSM, the study identifies the optimal combination of physical conditions that maximize actinokinase production, enhancing its potential applications. KEYWORDS Actinokinase, synthesis optimization, local isolate, physical conditions, Response Surface Methodology (RSM), temperature, pH, agitation rate, enzyme production, biotechnology.

Доказательный фрагмент

«This study aims to optimize the synthesis of actinokinase from a local isolate by focusing on the optimization of physical conditions using Response Surface Methodology (RSM).»

Образец извлечения

Демо-превью

This study aims to optimize the synthesis of actinokinase from a local isolate by focusing on the optimization of physical conditions using Response Surface Methodology (RSM). Полный текст публикации CiteX не хранит — доступ к первоисточнику открывается по DOI согласно лицензии издателя и выбранному плану.

Цитирований
0
Тип
Журнал
Страна
Узбекистан
Ключевые слова
Actinokinase, synthesis optimization, local isolate, physical conditions, Response Surface Methodology (RSM)
Открыть DOI
Спросить CiteX об этой работе

Смежные источники

[2]ТехникаENРецензированоОткрытый доступ
THE ROLE OF FOLKLORE IN NARRATIVE ART

Международный журнал искусственного интеллектаMamayusupova S.M., Senior Lecturer +12025

3