Biology IA Exemplar: Ethanol Concentration and Betacyanin Release in Beta vulgaris | RevisionDojo
IB Biology HL Internal Assessment Exemplar
How do varying ethanol concentrations (15%, 30%, 45%, 60%, 75%) affect the membrane permeability of Beta vulgaris
cells, as quantified by betacyanin release measured via absorbance at 540 nm using a colorimeter after 10-minute
exposure?
Loading scores...
Overall Score: 16/24
IB Grade: 5
Was this exemplar helpful?
Want a report just like this?
Free mini report for your own coursework
Fast feedback on what to improve next
Annotated highlights on your writing
General feedback
16/24
0
12
24
5.1·suggestion
Page 13• Click to view
The citation list is extensive but shows inconsistent formatting and missing DOI information. Adopt a single reference style (e.g., APA) for uniformity.
Criteria A: Research Design
5/6
0
3
6
Criteria Strands
Excellent
Research question context
Excellent
Methodological considerations
Excellent
Methodology description
Criteria Feedback
The research question is tightly focused and situated in a specific biological and methodological context (beetroot pigment leakage with ethanol, absorbance at 540 nm).
Comprehensive variables table and controls are justified with clear reasoning, including replication and statistical approach.
Methodology description is detailed enough to allow replication, with explicit volumes, times, and equipment tolerances supported by photographs.
Background repeats basic diffusion theory rather than focusing on membrane‐specific mechanisms.
Hypothesis statement is incomplete and needs a mechanistic explanation of how ethanol disrupts the bilayer.
Minor ambiguities in procedure wording (beaker labels, calibration steps) could cause confusion.
Criteria B: Data Analysis
3/6
0
3
6
Criteria Strands
Excellent
Communication of data recording and processing
Moderate
Consideration of uncertainties
Excellent
Data processing quality
Criteria Feedback
Data are communicated clearly and precisely in tables and graphs, with headings, units, error bars, and R² values.
Statistical processing (means, standard deviations, ANOVA, Tukey HSD) is carried out correctly and transparently.
Null and alternative hypotheses are clearly stated, reinforcing the statistical framework.
No propagation of instrumental uncertainty into averaged values and no discussion of colorimeter percentage error versus absorbance units.
Inconsistency between reported error bars (±10%) and standard deviations; graph captions lack full detail (units, sample size).
ANOVA p-value notation is non-standard (‘p=0’) and Tukey results are not fully integrated into the narrative.
Criteria C: Conclusion
5/6
0
3
6
Criteria Strands
Excellent
Conclusion relevance and consistency
Excellent
Scientific context comparison
Criteria Feedback
Conclusion restates the research question and directly links numerical trends, p-value, and R² to the hypothesis, showing full consistency with analysis.
Comparison to accepted scientific context is made via literature on ethanol’s effect on lipid bilayers, anchoring results within established knowledge.
Acknowledgement of saturation behavior is qualitative and could be quantified further.
No quantitative comparison of results against literature values to deepen context.
Criteria D: Evaluation
3/6
0
3
6
Criteria Strands
Good
Methodological weaknesses
Excellent
Improvements
Criteria Feedback
Specific methodological weaknesses (e.g., tissue size, residual pigment, temperature control) are identified and their effects described.
Improvements proposed (cork borer for standardisation, temperature-controlled bath, volumetric flasks) are realistic and directly linked to weaknesses.
The relative impact of each identified weakness on the final results is not evaluated or ranked.
Discussion of trade-offs (e.g., increased replicates versus resource constraints) is absent, limiting depth of evaluation.