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<h2>HL Paper 3</h2><div class="specification">
<p>Sodium alginate beads were prepared containing a suspension of <em>Chlorella</em> algae. These beads were placed in nine small jars containing hydrogencarbonate indicator solution. Hydrogencarbonate indicator is commonly used to detect changes in pH.</p>
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"></p>
<p style="text-align: left;">The jars were placed at different distances from a lamp, which was the only light source. The distances ranged from 40 to 130 centimetres. Jars were placed one at a time to avoid the jars from shading each other. Colour changes were observed.</p>
<p style="text-align: center;"><img 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"></p>
<p style="text-align: center;">[Source: © International Baccalaureate Organization 2020.]</p>
</div>

<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>State the name of the process which occurs in the chloroplasts of <em>Chlorella</em>, that uses CO<sub>2</sub>.</p>
<div class="marks">[1]</div>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>The colours of the indicator in the jars ranged from yellow to purple after five hours.</p>
<p>Predict the distribution of indicator colours in jars 1 to 9.</p>
<div class="marks">[1]</div>
<div class="question_part_label">b.i.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Explain the scientific reasoning for your hypothesis.</p>
<div class="marks">[3]</div>
<div class="question_part_label">b.ii.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Suggest <strong>one</strong> other factor that has to be kept constant in all the jars during the experiment.</p>
<div class="marks">[1]</div>
<div class="question_part_label">c.</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p>photosynthesis/light independent reaction (of photosynthesis)</p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>the jars closer to the light had more purple colours<br><em><strong>OR</strong></em><br>the jar the furthest from the light was yellow<br><em><strong>OR</strong></em><br>purple to yellow</p>
<p><em>Allow for answers indicating colours for each jar within this range</em>.</p>
<div class="question_part_label">b.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>a. high light (intensity) increases photosynthesis;</p>
<p>b. photosynthesis consumes CO<sub>2</sub>;</p>
<p>c. (more photosynthesis/less CO<sub>2</sub>) increases pH/decreases acidity;</p>
<p>d. less light means more respiration (than photosynthesis);</p>
<p>e. respiration produces CO<sub>2</sub><em><strong> AND</strong></em> lowers pH/increases acidity;</p>
<p><em>Allow inverse for all answers</em>.</p>
<p><em>Do not accept reference to colour only instead of pH</em>.</p>
<div class="question_part_label">b.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>temperature/volume of indicator/identical jars/number of beads/size of beads / density of <em>Chlorella</em> / other reasonable answer</p>
<p><em>Do not accept light/pH/humidity</em>.</p>
<div class="question_part_label">c.</div>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question" style="padding-left: 20px;">
<p>Candidates generally stated photosynthesis, or light independent reaction of photosynthesis.</p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Most candidates predicted the colour range accurately from purple to yellow; weaker candidates either inverted the range or did not include the extremes (<em>e.g.</em> purple to magenta), which were stated in the question stem.</p>
<div class="question_part_label">b.i.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Most candidates realised that increased light intensity leads to an increase rate of photosynthesis, which consumes CO<sub>2</sub>, or vice versa. Most related the change in colour to a change in CO<sub>2</sub> concentration, but didn't link it to a change in pH, for which the indicator is specific. Stronger candidates understood the experiment and were able to analyse its results effectively, adding that the effect of respiration increased over that of photosynthesis as light intensity decreased, thus a lower pH.</p>
<div class="question_part_label">b.ii.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>A very large number of candidates suggested a valid factor that should be kept constant.</p>
<div class="question_part_label">c.</div>
</div>
<br><hr><br>