Enzyme Reaction Simulation
Link: http://www.kscience.co.uk/animations/anim_2.htm
This website by KScience provides a series of enzyme animations as well as an interactive Enzyme Reaction Simulation that educates about the different components, roles and factors involved in enzyme activities. Students will use this simulation to learn about the effects of temperature, pH and substrate concentrations on metabolic reactions. This would be suitable as a introductory activity for students before they start to plan their first-hand experiment testing the rates of enzyme activities (syllabus outcome listed below) to generate student understanding and interest.
This website by KScience provides a series of enzyme animations as well as an interactive Enzyme Reaction Simulation that educates about the different components, roles and factors involved in enzyme activities. Students will use this simulation to learn about the effects of temperature, pH and substrate concentrations on metabolic reactions. This would be suitable as a introductory activity for students before they start to plan their first-hand experiment testing the rates of enzyme activities (syllabus outcome listed below) to generate student understanding and interest.
Syllabus Outcomes:
NSW Biology Stage 6 Syllabus
Students:
- 9.2.1.2.1 identify the role of enzymes in metabolism, describe their chemical composition and use a simple model to describe their specificity on substrates
- 9.2.1.2.3 explain why the maintenance of a constant internal environment is important for optimal metabolic efficiency
- 9.2.1.3.1 identify data sources, plan, choose equipment or resources and perform a first-hand investigation to test the effect of:
– increased temperature
– change in pH
– change in substrate concentrations on the activity of named enzyme(s) - 14.1 analyse information to:
a) identify trends, patterns and relationships as well as contradictions in data and information
d) predict outcomes and generate plausible explanations related to the observations
g) use cause and effect relationships to explain phenomena