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Compare and contrast the structure and function of globular vs fibrous proteins.
Globular proteins
Compact, rounded shape
Water-soluble
Complex tertiary (and sometimes quaternary) structure
Functions: metabolic roles
Examples: enzymes, haemoglobin, insulin
Fibrous proteins
Long, thin strands
Insoluble in water
Mostly secondary structure (repeating)
Functions: structural roles
Examples: collagen, keratin
Comparison
Both are made of amino acids joined by peptide bonds
Different shapes → different functions
Describe the gross structure of cellulose.
Cellulose is a polysaccharide
Made of β-glucose monomers
Monomers joined by β-1,4 glycosidic bonds
Chains are long, straight, and unbranched
Parallel chains form microfibrils
Microfibrils are held together by hydrogen bonds
Provides strength and rigidity to plant cell walls
Define the 4 levels of protein structure including any key bonding / features.
Primary
Sequence of amino acids
Held by peptide bonds
Secondary
Folding into α-helices or β-pleated sheets
Stabilised by hydrogen bonds
Tertiary
Overall 3D shape
Bonds include:
Hydrogen bonds
Ionic bonds
Disulfide bridges
Hydrophobic interactions
Quaternary
Multiple polypeptide chains combined
Example: haemoglobin
Define the term validity.
Validity is how well an experiment measures what it is supposed to measure.
High validity means:
Only the independent variable affects the result
Control variables are kept constant
Explain the difference between a reducing and non-reducing sugar as well as how we test for them both.
Reducing sugars
Have a free aldehyde or ketone group
Examples: glucose, maltose
Test: Benedict’s test
Blue → green/yellow/orange/brick-red
Non-reducing sugars
No free aldehyde or ketone group
Example: sucrose
Test:
Heat with dilute HCl
Neutralise with sodium hydrogencarbonate
Then add Benedict’s solution
Explain why we should not extrapolate data points on our graphs.
Extrapolation goes beyond measured data
Relationships may change outside the tested range
Leads to unreliable and invalid conclusions
Explain why there is an issue with viewing colours with the human eye as indicators of concentration and how we would resolve this.
Problem
Human perception of colour is subjective
Light conditions and eyesight vary
Small differences are hard to detect
Solution
Use a colorimeter
Measures absorbance quantitatively
Produces more accurate and reliable data