Chemistry IA Exemplar: Temperature Effects on Ascorbic Acid in Guava… | RevisionDojo
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IB Chemistry HL Internal Assessment Example
How does temperature (40℃,50℃,60℃,70℃,80℃) ) affect the concentration (g dm-3) of ascorbic acid (C6H8O6) of a fresh guava juice with redox titration using Iodine solution?HL
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6
Official IB Result
19/24
General feedback
19/24
0
12
24
No overall summary is available for this report.
5.1·Suggestion
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The oxidation reaction equation is given in plain text; present it as a balanced chemical equation using proper LaTeX (e.g. C6H8O6→C6H6O6+2H++2e−) for clarity.
5.2·Suggestion
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Iodine–thiosulfate neutralization is described, but solid and liquid waste should be disposed as chemical waste, not in general bins, to meet safety protocols.
5.3·Suggestion
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The header in Table 9 is garbled (“THAT IS THE AMIRABLE…”), likely an OCR or editorial error; correct it to match the intended content.
5.4·Suggestion
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Check that all bibliography entries follow a consistent style (authors, year, title, source) and include DOI or URL where appropriate.
Criteria A: Research Design
5/6
0
3
6
Criteria Strands
A.1Research question context
Excellent
A.2Methodological considerations
Good
A.3Methodology description
Good
Criteria Feedback
Excellent articulation of the research question within a specific, real-world context (health, industry, literature).
Clear justification of independent variable range and control variables with real-life relevance.
Detailed step-wise methodology with apparatus list and diagram enabling near-reproducibility.
Minor procedural details (heating duration, filtration conditions, temperature maintenance during titration) are omitted.
Inconsistencies in unit notation (g dm⁻³ vs. mol dm⁻³, cm³ vs. dm³) could confuse reproduction.
1.1·Strength
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The student provides a rich personal and industrial context for the research question, linking health motivations, commercial pasteurization practices, and cited literature effectively.
1.2·Weakness
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Ensure consistency between the research question’s stated units (g dm⁻³) and the units actually used later (mol dm⁻³); clarify or convert as needed.
1.3·Suggestion
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It would strengthen the design to control oxygen exposure during heating and storage, as atmospheric O₂ can oxidize ascorbic acid independently of temperature.
1.4·Suggestion
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The dependent variable description uses 0.025 cm³ instead of 0.025 dm³; correct this volume unit to prevent confusion in reproducibility.
1.5·Strength
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The independent variable section clearly justifies the temperature range and increments in the context of food processing, demonstrating sound methodological consideration.
1.6·Suggestion
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The procedure omits details on filtration conditions (e.g., vacuum pressure or filter pore size); include these to ensure complete reproducibility.
1.7·Suggestion
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Describe how the sample is held at the set temperature during titration (e.g., in a water bath or insulated flask) to prevent cooling before measurement.
1.8·Suggestion
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The Procedure header lacks any mention of heating duration or equilibration time; specify how long each sample is maintained at target temperature.
Criteria B: Data Analysis
4/6
0
3
6
Criteria Strands
B.1Communication of data recording and processing
Good
B.2Consideration of uncertainties
Moderate
B.3Data processing quality
Moderate
Criteria Feedback
Data tables and graphs are clearly labelled with units, uncertainties, regression equation and R².
Communication of data processing is both clear and precise in presentation.
Interpretation text correctly links slope and R² to physical degradation of vitamin C.
Uncertainty analysis omits temperature uncertainty and is propagated for only one data point.
Calculation inconsistencies (rounding errors, duplicated values, unit confusion) introduce inaccuracies.
Suggested alternative fits (e.g., exponential) and full propagation are not implemented.
2.1·Question
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Consider recording the time to endpoint for each titration as qualitative data; this could reveal kinetic differences at different temperatures.
2.2·Suggestion
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Present balanced reaction equations clearly with correct stoichiometry and LaTeX formatting (e.g. C6H8O6+I2→C6H6O6+2I−+2H+).
2.3·Weakness
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The concordant averages at 60°C and 70°C are identical (26.70 and 25.50), suggesting a possible transcription or calculation error in the raw data table.
2.4·Suggestion
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The raw data table is overly complex; consider separating trials from concordant values and using a simplified summary table to improve clarity.
2.5·Weakness
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Concentration values at 70 °C match exactly those at 60 °C, indicating a likely copy–paste or calculation slip; verify and correct as needed.
2.6·Suggestion
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Include percentage uncertainties alongside each concentration in the final data table to convey measurement precision directly.
2.7·Weakness
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Temperature measurement uncertainty (±0.5 °C) is not propagated into concentration uncertainty; include this contribution in error analysis.
2.8·Suggestion
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Ensure the caption for Table 9 is properly placed and distinct from headers, to avoid confusion with subsequent sample calculations.
2.9·Suggestion
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Given the known kinetics of ascorbic acid degradation, consider fitting an exponential or logarithmic model in addition to a linear trend to better capture reaction behavior.
2.10·Strength
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The interpretation text clearly explains the negative slope and high R², showing strong understanding of the relationship between temperature and Vitamin C degradation.
Criteria C: Conclusion
4/6
0
3
6
Criteria Strands
C.1Conclusion relevance and support
Good
C.2Scientific context comparison
Moderate
Criteria Feedback
Conclusion directly answers the research question with quantitative reference to regression and R².
Acknowledges limitations and cites a literature comparison, quantifying % deviation.
Shows understanding of how methodological issues may have influenced results.
Minor miscalculation of percentage reduction leads to inconsistency with data.
Literature comparison is limited to a single value without deeper discussion of matrix or density effects.
3.1·Suggestion
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Expand the discussion of literature context by comparing with other studies or discussing matrix effects to justify your experimental deviation.
3.2·Weakness
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The assumption that 242 mg/100 g (literature) equals 242 mg/100 ml may introduce error; discuss density or matrix differences explicitly.
3.3·Suggestion
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Align the stated percent reduction in the conclusion with the regression analysis results to maintain consistency.
3.4·Weakness
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The conclusion states a 50% reduction but the data show a drop from 0.0080 to 0.0036 mol dm⁻³ (55%); recalculate and correct the reported percentage.
Criteria D: Evaluation
6/6
0
3
6
Criteria Strands
D.1Methodological weaknesses
Good
D.2Suggested improvements
Excellent
Criteria Feedback
Specific methodological weaknesses (e.g., uneven heating, endpoint detection) are identified and linked to their impact on bias and spread.
Improvements (water bath, standardization protocols, pooling samples, colourimetric endpoint) are realistic, clearly explained and tied to each weakness.
The evaluation demonstrates mature reflection, articulating how each change enhances accuracy or precision.
Explanation of the relative magnitude of each error could be more quantitative rather than qualitative.
A brief ranking of which error dominates overall uncertainty would strengthen the evaluation.
4.1·Strength
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The evaluation section effectively highlights key strengths such as multiple trials and pipette usage, demonstrating reflection on reliability.
4.2·Suggestion
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For each methodological weakness, explain its relative impact on accuracy or precision (e.g., which error contributes most to overall uncertainty).
4.3·Strength
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The systematic-errors table proposes realistic improvements (water bath, standardization); these are well linked to identified biases, strengthening the evaluation.