Chemistry IA Exemplar: How does the degree of unsaturation in… | RevisionDojo

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IB Chemistry SL Internal Assessment Example

How does the degree of unsaturation in different edible lipids ( palm, olive, coconut, sunflower, and canola oils) affect their susceptibility to oxidation when subjected to heat and atmospheric oxygen, as measured by peroxide value determined via iodometric titration?SL

Overall Score

20/24

Criteria A: Research Design

6/6

Criteria Strands

A.1Research question context

Excellent

A.2Methodological considerations

Moderate

A.3Methodology description

Moderate

Criteria Feedback

You framed a focused, chemically relevant investigation with a clear comparison across five oils.
You linked the background chemistry well to the method and showed understanding of why unsaturation matters in oxidation.
Your method is structured enough that a reader can follow the overall procedure and reproduce much of it.

Some key details needed for full reproducibility are missing, including solution concentrations and blank correction.
The procedure and control table are not fully consistent, especially around oxygen exposure time.
The design does not fully isolate unsaturation because commercial oils also differ in antioxidants and initial oxidation state.

Criteria B: Data Analysis

5/6

Criteria Strands

B.1Communication of data recording and processing

Moderate

B.2Consideration of uncertainties

Poor

B.3Data processing quality

Moderate

Criteria Feedback

Your raw data and processed results are clearly organised in tables, making the investigation easy to follow.
You used repeated trials, means, standard deviations, and uncertainty thinking to show variation in the measurements.
Your overall processing approach is appropriate for comparing peroxide values across the oils.

Some calculations and statistical values are inconsistent, which weakens confidence in the final numerical claims.
The uncertainty treatment is only partly developed and contains at least one calculation error.
The graph presentation is not fully precise because the error bars and trendline are not clearly justified.

Criteria C: Conclusion

6/6

Criteria Strands

C.1Conclusion relevance and support

Moderate

C.2Scientific context comparison

Moderate

Criteria Feedback

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Criteria D: Evaluation

3/6

Criteria Strands

D.1Methodological weaknesses

Good

D.2Suggested improvements

Good

Criteria Feedback

Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.
Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat.

Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur.
Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.

Loading scores...

Overall Score

20/24

Criteria A: Research Design

6/6

Criteria Strands

A.1Research question context

Excellent

A.2Methodological considerations

Moderate

A.3Methodology description

Moderate

Criteria Feedback

You framed a focused, chemically relevant investigation with a clear comparison across five oils.
You linked the background chemistry well to the method and showed understanding of why unsaturation matters in oxidation.
Your method is structured enough that a reader can follow the overall procedure and reproduce much of it.

Some key details needed for full reproducibility are missing, including solution concentrations and blank correction.
The procedure and control table are not fully consistent, especially around oxygen exposure time.
The design does not fully isolate unsaturation because commercial oils also differ in antioxidants and initial oxidation state.

Criteria B: Data Analysis

5/6

Criteria Strands

B.1Communication of data recording and processing

Moderate

B.2Consideration of uncertainties

Poor

B.3Data processing quality

Moderate

Criteria Feedback

Your raw data and processed results are clearly organised in tables, making the investigation easy to follow.
You used repeated trials, means, standard deviations, and uncertainty thinking to show variation in the measurements.
Your overall processing approach is appropriate for comparing peroxide values across the oils.

Some calculations and statistical values are inconsistent, which weakens confidence in the final numerical claims.
The uncertainty treatment is only partly developed and contains at least one calculation error.
The graph presentation is not fully precise because the error bars and trendline are not clearly justified.

Criteria C: Conclusion

6/6

Criteria Strands

C.1Conclusion relevance and support

Moderate

C.2Scientific context comparison

Moderate

Criteria Feedback

Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.
Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat.

Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur.
Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.

Criteria D: Evaluation

3/6

Criteria Strands

D.1Methodological weaknesses

Good

D.2Suggested improvements

Good

Criteria Feedback

Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.
Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat.

Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur.
Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.