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<h2>SL Paper 3</h2><div class="specification">
<p>A class was determining the concentration of aqueous sodium hydroxide by titrating it with hydrochloric acid, whilst monitoring the pH of the solution. The sodium hydroxide solution was added into a glass beaker from a measuring cylinder and the hydrochloric acid added using a burette. One group of students accidentally used a temperature probe rather than a pH probe. Their results are given below.</p>
<p>Volume of aqueous NaOH = 25.0 ± 0.5 cm<sup>3</sup></p>
<p>Concentration of HCl = 1.00 ± 0.01 mol dm<sup>−3</sup></p>
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"></p>
</div>
<div class="specification">
<p>The graph of temperature against titre can be used to calculate the concentration of alkali without knowing the concentration of the hydrochloric acid, using the enthalpy of neutralization.</p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Explain how the concentration may be calculated in this way.</p>
<div class="marks">[2]</div>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Heat losses would make this method less accurate than the pH probe method. Outline why the thermometric method would always give a lower, not a higher, concentration.</p>
<div class="marks">[2]</div>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Suggest how heat loss could be reduced.</p>
<div class="marks">[1]</div>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>State <strong>one</strong> other assumption that is usually made in the calculation of the heat produced.</p>
<div class="marks">[1]</div>
<div class="question_part_label">d.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Suggest why scientists often make assumptions that do not correspond to reality.</p>
<div class="marks">[1]</div>
<div class="question_part_label">e.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Outline why the thermochemical method would not be appropriate for 0.001 mol<span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="\,">
<mspace width="thinmathspace"></mspace>
</math></span>dm<sup>−3</sup> hydrochloric acid and aqueous sodium hydroxide of a similar concentration.</p>
<div class="marks">[1]</div>
<div class="question_part_label">f.</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p>heat change/evolved can be calculated from the «maximum» temperature increase and the mass of solution<br><em><strong>OR</strong></em><br><em>q</em> = <em>mc</em>Δ<em>T</em></p>
<p>heat «evolved» gives the number of moles «of both acid and alkali present when neutralisation occurs»<br><em><strong>OR</strong></em><br><span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="n = \frac{q}{{\Delta {H_{neut}}}}">
<mi>n</mi>
<mo>=</mo>
<mfrac>
<mi>q</mi>
<mrow>
<mi mathvariant="normal">Δ</mi>
<mrow>
<msub>
<mi>H</mi>
<mrow>
<mi>n</mi>
<mi>e</mi>
<mi>u</mi>
<mi>t</mi>
</mrow>
</msub>
</mrow>
</mrow>
</mfrac>
</math></span></p>
<p>volume «of acid and the volume of alkali required to just neutralise each other» can be used to calculate the concentration«s of both»<br><em><strong>OR</strong></em><br><span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="\left[ {{\text{NaOH}}} \right] = \frac{n}{V}">
<mrow>
<mo>[</mo>
<mrow>
<mrow>
<mtext>NaOH</mtext>
</mrow>
</mrow>
<mo>]</mo>
</mrow>
<mo>=</mo>
<mfrac>
<mi>n</mi>
<mi>V</mi>
</mfrac>
</math></span></p>
<p><em><strong>[2 marks]</strong></em></p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>smaller temperature increase/Δ<em>T</em><br><em><strong>OR</strong></em><br>heat released would «appear to» be less</p>
<p>amount of substance/n calculated is smaller</p>
<p><em><strong>[2 marks]</strong></em></p>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>using «expanded» polystyrene cup<br><em><strong>OR</strong></em><br>insulating beaker<br><em><strong>OR</strong></em><br>putting a lid on beaker</p>
<p> </p>
<p><em>Do <strong>not</strong> accept calorimeter by itself.</em></p>
<p><em>Accept any other reasonable suggestion.</em></p>
<p><strong><em>[1 mark]</em></strong></p>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>«specific» heat capacity of the beaker/container/thermometer is ignored<br><em><strong>OR</strong></em><br>density of the solutions is assumed as 1.00 g<span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="\,">
<mspace width="thinmathspace"></mspace>
</math></span>cm<sup>–3</sup>/same as water<br><em><strong>OR</strong></em><br>specific heat capacity of the solutions is assumed as 4.18 J g<sup>–1</sup><span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="\,">
<mspace width="thinmathspace"></mspace>
</math></span>K<sup>–1</sup>/same as water</p>
<p> </p>
<p><em>Accept “reaction goes to completion”.</em></p>
<p><em>Accept “reaction is conducted under standard conditions”.</em></p>
<p><em>Accept “no evaporation occurs”.</em></p>
<p><em>Accept any other relevant valid assumption.</em></p>
<p><em>Do <strong>not</strong> accept “heat is not released from other reactions”.</em></p>
<p><strong><em>[1 mark]</em></strong></p>
<div class="question_part_label">d.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>allows simple theories to be applied to real life situations<br><em><strong>OR</strong></em><br>enables us to start to understand complex situations<br><em><strong>OR</strong></em><br>gives answers that are accurate to the required order of magnitude<br><em><strong>OR</strong></em><br>simplifies the calculations involved</p>
<p> </p>
<p><em>Do <strong>not</strong> accept “to simplify the situation” without further detail.</em></p>
<p><em>Accept “errors do not have a major impact on the results”.</em></p>
<p><strong><em>[1 mark]</em></strong></p>
<div class="question_part_label">e.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>temperature rise would be too small «to be accurately measured»</p>
<p> </p>
<p><em>Accept “heat released would be too small «to be accurately measured»”.</em></p>
<p><strong><em>[1 mark]</em></strong></p>
<div class="question_part_label">f.</div>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">d.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">e.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">f.</div>
</div>
<br><hr><br><div class="specification">
<p>Polymers are made up of repeating monomer units which can be manipulated in various ways to give structures with desired properties.</p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>(i) Draw the structure of 2-methylpropene.</p>
<p>(ii) Deduce the repeating unit of poly(2-methylpropene).</p>
<div class="marks">[2]</div>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Deduce the percentage atom economy for polymerization of 2-methylpropene.</p>
<div class="marks">[1]</div>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>(i) Suggest why incomplete combustion of plastic, such as polyvinyl chloride, is common in industrial and house fires.</p>
<p>(ii) Phthalate plasticizers such as DEHP, shown below, are frequently used in polyvinyl chloride.</p>
<p><img src="data:image/png;base64,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"></p>
<p>With reference to bonding, suggest a reason why many adults have measurable levels of phthalates in their bodies.</p>
<div class="marks">[2]</div>
<div class="question_part_label">c.</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p>i</p>
<p><img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAIEAAABqCAYAAACbIzIRAAAMEklEQVR4Ae1dDUxUVxb+hrpGrViiNu0ApklBBpslMYIYo1kGG8HGuBrNmmbTMkK1qanGjZFBrLomq2AdAii6sT9QUTemusyC1SAoCFFi1BlsgtllxrYxAWa68SfIUF3Fmbe5A2+YefPm/82b9+S+ZPLe/Tv33HO+Ofee93OugmEYBvSY0BKIm9Cjp4N3SoCCgAIBFAQUBBQEFAOgIKAgoCCQBgYcVhibvkFJbiIUCsXoL1GDCr0RVgfL4jCMFblQKHJRYRxmM13nl8YKpCpSodH3ufKCvaBrgmAlFa16w3dRV5iHrOqfoNrTARvDgGGew9KYjZ4tWcgsrEfvsAsJUeFiUlSoUqJBSmAQxuM78cnJd6AzlKIoM2Gs3WQoszej5vQA0t8vxbacRWguSg6SZujVKAhCl5lwLYa6cbbyIpTaNnzqAgBLPg4zlpXBwpSNZXhPAWzNSM8UBJFKMIL2L+91o8GqRIYqEdODptOB4qx4FPPWT8ES3nz/mXRN4F8+IpROw9sJr4fgpqmhM9hA7va7/0YMOqSEyS0FQZiCE67ZU/w6+BuEXvo5rF2o0mSMeRsZ0FR1uXkantxTEHjKQ9TUpLkLsE5pRY/JAt4Zf6gdJfklqGs385f75PYhOqq1OJ9UCYudgd1SiaTzWlR3PORtQUHAKxaRMmcswPrtK2E9VImvjYOcTl9g4Ioep1pP4fv7DkzjlPpPzsayL7twtWw5lHEOPH1iwYApCapk/pUHBYF/aUa5NAGZn+2FTt2N4h3lbv/4IZgvH8OuLceAgnIcXp8WwprBjWVHL+rykxE/bwMuf/Ah8lOnuBWOX1IQjMsiNlfTs7Hjhw60ff4mOj9SId55x/ANqDQ/IuOoAcbvNEifHqaa4tJR1GKB3dKKDb9oUXSil3ftoaAvlcRG99HtdQjm9huwzctFpnIyAHLLeRWyerbCUr8WSk7nYUKMQ4Umw5LAyZMn8fjx47Da+m/0Av0tX2DV7gsYcAAO6w00XOxDXs57eIuvIbEE9BBfAi0tLeS1Pmbjxo1R6dxuucmc0OY5+wB+zxRUXmcsdv6u6HTA98+Ict6zZ8+Qk5OD27dvw2QyIS0tLco9+idPpwP/8olK6blz55wAOHDgQMwBQAZILUFU1OybKFkDzJo1y1nh0aNHmDlzpu/KIpVQSyCSoNluDh486LxsaGiQBAAIM9QSsNoR4Ww2m6FSqbBw4UJ0dnZi6tSpIvQauAtqCQLLSLAaWq3WSauqqkoyACAMURAIpmL/hPR6PZqamlBcXIwlS8J56u+ffiSldDqIRHpBtpWaS8hlm1oCrkSikK6trXW6hDU1NZJwCblDpJaAKxGB0/39/ZgzZ45zMXjp0iXJeATuw6SWwF0aUbg+cuSIk+rOnTslCQDCHLUEUVA8S7KrqwtLly7F6tWrcebMGUl5BCyP5Ewtgbs0BLwmi0GdTuekuG/fPskCgIJAQKVzSTU3N7tcwvnz53OLJZWm00EU1EGeD6xYscLpEfT19SE5OXpfDwnBPp0OhJAih8bx48ddLqHUAUBYp5aAo8BIk1J9PuBvXNQS+JNOGGXsYpC4hFJ5QBRoGNQSBJJQCOXuLmFjY2MILWNblYJAIPm7Px+4c+cOpO4RuA+bTgfu0ojgmn1ljDwllBMAyJCpJYhA8WxTKb4yxvIWzJlagmCkFKAO+8pYfX29ZJ8P+BsCtQT+pBNEmftTQim9MhYE664qNFKJSxThXZCbQeTbgQcPHsjGJeSOlFoCrkQmYJquCSag0rlD9guC0QCJCqRWGPGS2/KlERWpCig0eli5ZT7SDqsRTXUlyGUDNioUSNRUQG+08n4y7YNMTLLlzHsggfkFQaDGwZc7MNxbj8LMVag2qbDH9GQ06JLdgsb5PdiSlYfCurseIVlckT3dACNm3vjYQud9vK1Mrvi/Ux3NHTHomBSASdEZmBFuxREDo0sBg4IGxsIt46ZtNxmdWslAXckYbNxPYx8wbdpMBvgTU2t65mpJvtiN5c/FSBi8u9rK5EIE78CBoVuNqOxIhLbtY2R6Rd0g8XUMYL70/NdIY0OW8Hj3HIn0U0GB4OfiLPyOP3oiAkdPfIp73Tdgxbs+AydJV0xy5j14qQa1JkjRGTDCCZ7IjBigCyl64kwkxAeFueC5F62mnHkPLKSgQBCYDEhMFNyq0iCRXcjl7oLePOTW9DEGbV4+hlu556WYi0C+vjy5CY13z7bSTwkEgv/BfGIbFp1/F6ctz8HY+9G22Ih1W/8Js2Ma5i5YDCV+gamfL2SjA0Pte5FfUod2D9BIQXhy5j14+QkEgilIKzoL5upfsYxEy4pLwh/WLUfKz49hc8RhRvYabFdbcOhvp2Dkxu539OHKP/6F1kOXcB8k0tbo4R63NxbXo1yExzs7Btmc/XkxYbuI9n6mrXQlo9bdZGzODuyMzVDJqKFk1Npaps30ZLRbm4lp1RUwShJYqbZnrK4/jmJRJmfeg5MXuWnj8wgLBLb/MA3alYy6tJUTLcvO2ExXmXNOpY/fA1AW6JgGg4Xh3j3wyVRMCuTMe2CBCfoAyWG9jN1/Pgz71grsWZseQgx/2RjOV5JRgdYEgGNAj02ZFcCer1A+wQBA3iw6evQoyHuGsjwCG4tgarC3fsfNvPOWb4qOMXjdbw6Gnrzq1NTUOG9xk7McD0GnA1n+CwRg2v1NYykEpwx1SIJNB6F2/CrVJx+ZkI9NyPHtt9/KbmjUEgiosjVr1ji/RL5+/brkglP5Gya1BP6kE2IZiUNADvIpmpwWiRQEISraX3Xy0Qn5+ISEqiPxCeRy0OlAYE2xH6KQqKVSDVTFHTK1BFyJRJgmAavJRygkjD2JUyCHg1qCKGhJbi4jtQRRAAFxGffv3++kzMYriEI3gpGklkAwUXoT2rRpk/O+gdRdRgoCb90JliOX0DV0OhBM5d6EyN5GZIsbskgk8QukelBLEGXNsC4j6UYq291wh0wtAVciAqeJy0i2uiEHG8dA4C4iJkctQcQiDExA6i4jtQSBdRhxDeIyki1vyMFugRMxUQEJUBAIKEx/pMiWN+xzhdbWVn9VRS+j04GIIpeqy0gtgYggIC4j2QKHuIxkSxypHNQSiKwJ4jJKLQI6tQQig4C4jOyraOzWOCKz4NUdtQReIhEng30VTQohcKklEEfnXr2wr6KRc6xfRaMg8FKPOBnur6Jdu3ZNnE599EKnAx+CESObREO9desW1q5dK0Z3PvugIPApmolTQKcDKejaYYWx6RuU5CbCFTUlUYMKvRFWB8vgMIwVuVAoclFh9A72MRpzMhUafR/bIOgzBUHQoopSxeG7qCvMQ1b1T1Dt6YDNGRvqOSyN2ejZkoXMwnr0cgN7CMyKXCNJCSyGWJEbhPH4Tnxy8h3oDKUoykwYY2QylNmbUXN6AOnvl2JbziI0F0VvWz0Kgljpn/Q71I2zlReh1LbhUxcAWIbiMGNZGSxM2ViG9xTA1oz0TEEQqQQjaP/yXjcarEpkqBJDCOjRgeKsePCHlUwJHFaSh1+6JuARirhZ0/B2wushbFqths5gG40N7RZbcsSgQ0hhJd0GSUHgJozYXD7Fr4O/xTTKOwVBbDTv7HXS3AVYp7Six2TxiPDuYmmoHSX5JahrN/OXuyp6XzisXajSZIy5nBnQVHW5uZue9SkIPOUhbmrGAqzfvhLWQ5X42jjI6fsFBq7ocar1FL6/78A0Tqn/5EN0VGtxPqkSFjsDu6USSee1qO54yNuMgoBXLGJlJiDzs73QqbtRvKPc7R8/BPPlY9i15RhQUI7D69NCWDMQ3knk+C5cLVsOZZwDT59YMGBK8hlgnIJALH376md6Nnb80IG2z99E50cqxDtjQ78BleZHZBw1wPidBule2wP4IsbJd/SiLj8Z8fM24PIHHyI/dQqnwmiSPjvgFcurlTkaX3IzjB9fQHNRupdVoZbg1dL32GiGYG5vgdH6wpmOUy7GupVz0Nr5b/yXZ7wUBDxCkX/WC/S3fIFVuy9gwEF2IbiBhot9yMt5D2/xDI6CgEco8s+aDfVf/o7y2V8h+TUFXkvcjoE/1uPEBu+pgIyVrgnkr/GIR0AtQcQilD8BCgL56zDiEVAQRCxC+RP4P2oKrIQMv08NAAAAAElFTkSuQmCC"></p>
<p><em><strong>OR</strong></em><br>H<sub>2</sub>C=C(CH<sub>3</sub>)<sub>2</sub></p>
<p> </p>
<p>ii</p>
<p><img src="data:image/png;base64,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"></p>
<p><em><strong>OR</strong></em><br>−CH<sub>2</sub>C(CH<sub>3</sub>)<sub>2</sub>−</p>
<p><em>Continuation bonds needed for mark.</em><br><em>No penalty if square brackets present or “n” appears after the bracket/formula.</em></p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>«same mass of product as reactant, thus» 100«%»</p>
<p><em>Accept “less than 100%” only if a reason is given (eg, the catalyst is not converted into the product, or other reasonable answer).</em></p>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>i</p>
<p>due to stability of plastics/strong covalent bonds<br><em><strong>OR<br></strong></em>low volatility preventing good mixing with oxygen «gas»<br><em><strong>OR<br></strong></em>lack of/insufficient oxygen<br><em><strong>OR<br></strong></em>plastics are often parts of devices with non-combustible components «which mechanically prevent the combustion of plastic components»<br><em><strong>OR<br></strong></em>PVC already partly oxidised «because some C–H bonds are replaced with C–Cl bonds», so it cannot produce enough heat for complete combustion<br><em><strong>OR<br></strong></em>many industrial/household materials contain additives that reduce their flammability/act as flame retardants</p>
<p> </p>
<p>ii</p>
<p>weakly bound to the PVC/no covalent bonds to PVC/only London/dispersion/instantaneous induced dipole-induced dipole forces between DEHP and PVC <em><strong>AND</strong></em> leach/evaporate «from PVC» to atmosphere/food chain<br><em><strong>OR<br></strong></em>has low polarity/contains non-polar hydrocarbon chains <em><strong>AND</strong></em> fat-soluble/deposits in the fatty tissues<br><em><strong>OR<br></strong></em>has unusual structural fragments/is a xenobiotic/difficult to metabolise <em><strong>AND</strong></em> stays in the body for a long time</p>
<div class="question_part_label">c.</div>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">c.</div>
</div>
<br><hr><br><div class="specification">
<p>Vegetable oils, such as that shown, require conversion to biodiesel for use in current internal combustion engines.</p>
<p style="text-align: center;"><img 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"></p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>State <strong>two</strong> reagents required to convert vegetable oil to biodiesel.</p>
<div class="marks">[2]</div>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Deduce the formula of the biodiesel formed when the vegetable oil shown is reacted with the reagents in (a).</p>
<div class="marks">[1]</div>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Explain, in terms of the molecular structure, the critical difference in properties that makes biodiesel a more suitable liquid fuel than vegetable oil.</p>
<div class="marks">[2]</div>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p>Determine the specific energy, in kJ<span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="\,">
<mspace width="thinmathspace"></mspace>
</math></span>g<sup>−1</sup>, and energy density, in kJ<span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="\,">
<mspace width="thinmathspace"></mspace>
</math></span>cm<sup>−3</sup>, of a particular biodiesel using the following data and section 1 of the data booklet.</p>
<p>Density = 0.850 g<span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="\,">
<mspace width="thinmathspace"></mspace>
</math></span>cm<sup>−3</sup>; Molar mass = 299 g<span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="\,">
<mspace width="thinmathspace"></mspace>
</math></span>mol<sup>−1</sup>;</p>
<p>Enthalpy of combustion = 12.0 MJ<span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="\,">
<mspace width="thinmathspace"></mspace>
</math></span>mol<sup>−1</sup>.</p>
<p><img 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"></p>
<div class="marks">[2]</div>
<div class="question_part_label">d.</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p>methanol<br><em><strong>OR</strong></em><br>ethanol</p>
<p>strong acid<br><em><strong>OR</strong></em><br>strong base</p>
<p> </p>
<p><em>Accept “alcohol”.</em></p>
<p><em>Accept any specific strong acid or strong base other than HNO<sub>3</sub>/nitric acid.</em></p>
<p><strong><em>[3 marks]</em></strong></p>
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>CH<sub>3</sub>(CH<sub>2</sub>)<sub>16</sub>COOCH<sub>3</sub> / CH<sub>3</sub>OCO(CH<sub>2</sub>)<sub>16</sub>CH<sub>3</sub><br><em><strong>OR</strong></em><br>CH<sub>3</sub>(CH<sub>2</sub>)<sub>16</sub>COOC<sub>2</sub>H<sub>5</sub> / C<sub>2</sub>H<sub>5</sub>OCO(CH<sub>2</sub>)<sub>16</sub>CH<sub>3</sub></p>
<p> </p>
<p><em>Product <strong>must</strong> correspond to alcohol chosen in (a), but award mark for either structure if neither given for (a).</em></p>
<p><strong><em>[1 mark]</em></strong></p>
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>lower viscosity</p>
<p>weaker intermolecular/dispersion/London/van der Waals’ forces<br><em><strong>OR</strong></em><br>smaller/shorter molecules</p>
<p> </p>
<p><em>Accept “lower molecular mass/M<sub>r</sub>” or “lower number of electrons”.</em></p>
<p><em>Accept converse arguments.</em></p>
<p><strong><em>[2 marks]</em></strong></p>
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><em>Specific energy:</em> «<span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext=" = \frac{{12\,000{\text{ kJ}}\,{\text{mo}}{{\text{l}}^{ - 1}}}}{{299{\text{ g}}\,{\text{mo}}{{\text{l}}^{ - 1}}}}">
<mo>=</mo>
<mfrac>
<mrow>
<mn>12</mn>
<mspace width="thinmathspace"></mspace>
<mn>000</mn>
<mrow>
<mtext> kJ</mtext>
</mrow>
<mspace width="thinmathspace"></mspace>
<mrow>
<mtext>mo</mtext>
</mrow>
<mrow>
<msup>
<mrow>
<mtext>l</mtext>
</mrow>
<mrow>
<mo>−</mo>
<mn>1</mn>
</mrow>
</msup>
</mrow>
</mrow>
<mrow>
<mn>299</mn>
<mrow>
<mtext> g</mtext>
</mrow>
<mspace width="thinmathspace"></mspace>
<mrow>
<mtext>mo</mtext>
</mrow>
<mrow>
<msup>
<mrow>
<mtext>l</mtext>
</mrow>
<mrow>
<mo>−</mo>
<mn>1</mn>
</mrow>
</msup>
</mrow>
</mrow>
</mfrac>
</math></span>» = 40.1 «kJ g<sup>−1</sup>»</p>
<p><em>Energy density:</em> «= 40.1 kJ<span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="\,">
<mspace width="thinmathspace"></mspace>
</math></span>g<sup>−1</sup> x 0.850 g<span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="\,">
<mspace width="thinmathspace"></mspace>
</math></span>cm<sup>−3</sup>» = 34.1 «kJ<span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="\,">
<mspace width="thinmathspace"></mspace>
</math></span>cm<sup>−3</sup>»</p>
<p> </p>
<p><em>Award [1] if both are in terms of a unit other than kJ (such as J or MJ).</em></p>
<p><strong><em>[2 marks]</em></strong></p>
<div class="question_part_label">d.</div>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">a.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">b.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">c.</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">d.</div>
</div>
<br><hr><br><div class="specification">
<p><span style="background-color: #ffffff;">Powdered zinc was reacted with 25.00 cm<sup>3</sup> of 1.000 mol dm<sup>−3</sup> copper(II) sulfate solution in an </span><span style="background-color: #ffffff;">insulated beaker. Temperature was plotted against time.</span></p>
<p><span style="background-color: #ffffff;"><img style="margin-right: auto; margin-left: auto; display: block;" 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" width="458" height="384"></span></p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span style="background-color: #ffffff;">Estimate the time at which the powdered zinc was placed in the beaker.</span></p>
<div class="marks">[1]</div>
<div class="question_part_label">a(i).</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span style="background-color: #ffffff;">State what point <strong>Y</strong> on the graph represents.</span></p>
<div class="marks">[1]</div>
<div class="question_part_label">a(ii).</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span style="background-color: #ffffff;">The maximum temperature used to calculate the enthalpy of reaction was chosen at a point on the extrapolated (dotted) line.</span></p>
<p><span style="background-color: #ffffff;">State the maximum temperature which should be used and outline <strong>one</strong> assumption made in choosing this temperature on the extrapolated line. </span></p>
<p> </p>
<p><span style="background-color: #ffffff;">Maximum temperature:</span></p>
<p><span style="background-color: #ffffff;">Assumption:</span></p>
<div class="marks">[2]</div>
<div class="question_part_label">b(i).</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span style="background-color: #ffffff;">To determine the enthalpy of reaction the experiment was carried out five times. The same volume and concentration of copper(II) sulfate was used but the mass of zinc was different each time. Suggest, with a reason, if zinc or copper(II) sulfate should be in excess for each trial.</span></p>
<div class="marks">[1]</div>
<div class="question_part_label">b(ii).</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span style="background-color: #ffffff;">The formula <em>q = mcΔT</em> was used to calculate the energy released. The values used in the calculation were <em>m</em> = 25.00 g, <em>c</em> = 4.18 J g<sup>−1</sup> K<sup>−1</sup>.</span></p>
<p><span style="background-color: #ffffff;">State an assumption made when using these values for <em>m</em> and <em>c</em>.</span></p>
<p><span style="background-color: #ffffff;"><img 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" width="666" height="246"></span></p>
<div class="marks">[2]</div>
<div class="question_part_label">b(iii).</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span style="background-color: #ffffff;">Predict, giving a reason, how the final enthalpy of reaction calculated from this experiment would compare with the theoretical value.</span></p>
<div class="marks">[1]</div>
<div class="question_part_label">b(iv).</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p><span style="background-color: #ffffff;">100 «s» <strong>[✔]</strong></span></p>
<p> </p>
<p><em><span style="background-color: #ffffff;"><strong>Note:</strong> Accept 90 to 100 s.</span></em></p>
<div class="question_part_label">a(i).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="background-color: #ffffff;">highest recorded temperature<br><em><strong>OR</strong></em><br>when rate of heat production equals rate of heat loss <strong>[✔]</strong></span></p>
<p> </p>
<p><em><span style="background-color: #ffffff;"><strong>Note:</strong> Accept “maximum temperature”.</span></em></p>
<p><em><span style="background-color: #ffffff;">Accept “completion/end point of reaction”.</span></em></p>
<div class="question_part_label">a(ii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="background-color: #ffffff;"><em>Maximum temperature:</em><br>73 «°C» <strong>[✔]</strong></span></p>
<p><span style="background-color: #ffffff;"><em>Assumption</em>:<br>«temperature reached if» reaction instantaneous<br><em><strong>OR</strong></em><br>«temperature reached if reaction occurred» without heat loss <strong>[✔]</strong></span></p>
<p> </p>
<p><em><span style="background-color: #ffffff;"><strong>Note:</strong> Accept “rate of heat loss is constant” <strong>OR</strong> “rate of temperature decrease is constant”.</span></em></p>
<div class="question_part_label">b(i).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="background-color: #ffffff;"><em>Any one of:</em><br>copper(II) sulfate <em><strong>AND</strong> </em>mass/amount of zinc is independent variable/being changed.<br><em><strong>OR</strong></em><br>copper(II) sulfate <em><strong>AND</strong> </em>with zinc in excess there is no independent variable «as amount of copper(II) sulfate is fixed» <strong>[✔]</strong></span></p>
<p><span style="background-color: #ffffff;">copper(II) sulfate <em><strong>AND</strong> </em>having excess zinc will not yield different results in each trial <strong>[✔]</strong></span></p>
<p><span style="background-color: #ffffff;">zinc <em><strong>AND</strong> </em>results can be used to see if amount of zinc affects temperature rise «so this can be allowed for» <strong>[✔]</strong></span></p>
<p><span style="background-color: #ffffff;">zinc <em><strong>AND</strong> </em>reduces variables/keeps the amount reacting constant <strong>[✔]</strong></span></p>
<div class="question_part_label">b(ii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><img 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" width="510" height="283"></p>
<p> </p>
<p><strong><em>Note: </em></strong><em><span style="background-color: #ffffff;">Accept “copper(II) sulfate/zinc sulfate” for “solution”.</span></em></p>
<div class="question_part_label">b(iii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p><span style="background-color: #ffffff;">lower/less exothermic/less negative <em><strong>AND</strong> </em>heat loss/some heat not accounted for<br><em><strong>OR</strong></em><br>lower/less exothermic/less negative <em><strong>AND</strong> </em>mass of reaction mixture greater than 25.00 g<br><em><strong>OR</strong> <br></em>greater/more exothermic /more negative <em><strong>AND</strong> </em>specific heat of solution less than water <strong>[✔]</strong></span></p>
<p> </p>
<p><em><span style="background-color: #ffffff;"><strong> Note:</strong> Accept “temperature is lower” instead of “heat loss”. </span></em></p>
<p><em><span style="background-color: #ffffff;">Accept “similar to theoretical value </span><span style="background-color: #ffffff;"><strong>AND</strong></span> <span style="background-color: #ffffff;">heat losses have been compensated for”. </span></em></p>
<p><em><span style="background-color: #ffffff;">Accept “greater/more exothermic/more negative <strong>AND</strong> linear extrapolation overestimates heat loss”.</span></em></p>
<div class="question_part_label">b(iv).</div>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question" style="padding-left: 20px;">
<p>Almost all candidates identified 100 s as the time at which the reaction was initiated.</p>
<div class="question_part_label">a(i).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Many students gained this mark through stating this was the highest temperature recorded, though even more took advantage of the acceptance of the completion of the reaction, expressed in many different ways. Very few answered that it was when heat loss equalled heat production.</p>
<div class="question_part_label">a(ii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Even though almost all students recognised 100 seconds as the start time of the reaction less than 50% chose the extrapolated temperature at this time. Predictably the most common answer was the maximum of the graph, followed closely by the intercept with the y-axis. With regard to reasons, again relatively few gained the mark, though most who did wrote “no loss of heat”, even though it was rare to find this preceded by “the temperature that would have been attained if …”.</p>
<div class="question_part_label">b(i).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>The correct answer depended on whether students considered the object of the additional trials was to investigate the effect of a new independent variable (excess copper(II) sulphate) or to obtain additional values of the same enthalpy change so they could be averaged (excess zinc). Answers that gave adequate reasons were rare.</p>
<div class="question_part_label">b(ii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Again relatively few gained these marks for stating that it was assumed the density and specific heat of the solution were the same as water.</p>
<div class="question_part_label">b(iii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p>Only about a third of the students correctly deduced that loss of heat to the environment means that the experimental value is lower than the theoretical one, though other answers, such as “higher because linear extrapolation over-compensates for the heat losses” were also accepted.</p>
<div class="question_part_label">b(iv).</div>
</div>
<br><hr><br><div class="specification">
<p><span style="background-color: #ffffff;">Red supergiant stars contain carbon-12 formed by the fusion of helium-4 nuclei with beryllium-8 nuclei.</span></p>
<p><span style="background-color: #ffffff;">Mass of a helium-4 nucleus = 4.002602 amu<br>Mass of a beryllium-8 nucleus = 8.005305 amu<br>Mass of a carbon-12 nucleus = 12.000000 amu</span></p>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span style="background-color: #ffffff;">State the nuclear equation for the fusion reaction.</span></p>
<div class="marks">[1]</div>
<div class="question_part_label">a(i).</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span style="background-color: #ffffff;">Explain why fusion is an exothermic process.</span></p>
<div class="marks">[2]</div>
<div class="question_part_label">a(ii).</div>
</div>
<div class="question" style="padding-left: 20px; padding-right: 20px;">
<p><span style="background-color: #ffffff;">Beryllium-8 is a radioactive isotope with a half-life of 6.70 × 10<sup>−17</sup> s.</span></p>
<p><span style="background-color: #ffffff;">Calculate the mass of beryllium-8 remaining after 2.01 × 10<sup>−16</sup> s from a sample initially containing 4.00 g of beryllium-8.</span></p>
<div class="marks">[2]</div>
<div class="question_part_label">b.</div>
</div>
<h2 style="margin-top: 1em">Markscheme</h2>
<div class="question" style="padding-left: 20px;">
<p><span style="background-color: #ffffff;"><span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="{}_2^4{\text{He + }}{}_4^8{\text{Be}} \to {}_6^{12}{\text{C}}"> <msubsup> <mrow> </mrow> <mn>2</mn> <mn>4</mn> </msubsup> <mrow> <mtext>He + </mtext> </mrow> <msubsup> <mrow> </mrow> <mn>4</mn> <mn>8</mn> </msubsup> <mrow> <mtext>Be</mtext> </mrow> <mo stretchy="false">→</mo> <msubsup> <mrow> </mrow> <mn>6</mn> <mrow> <mn>12</mn> </mrow> </msubsup> <mrow> <mtext>C</mtext> </mrow> </math></span>✔</span></p>
<p><em><span style="background-color: #ffffff;"> NOTE: Do <strong>not</strong> penalize missing atomic numbers.</span></em></p>
<div class="question_part_label">a(i).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p style="color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;"><span style="background-color: #ffffff;"><em><strong>ALTERNATIVE 1</strong></em><br>binding energy per nucleon is larger in carbon-12/product «than beryllium-8 and helium-4/reactants» ✔<br></span></p>
<p style="color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;"><span style="background-color: #ffffff;">difference in «total» binding energy is released «during fusion» ✔</span></p>
<p style="color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;"> </p>
<p style="color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;"><span style="background-color: #ffffff;"><em><strong>ALTERNATIVE 2</strong></em><br>mass of carbon-12/product «nucleus» is less than «the sum of» the masses of helium-4 and beryllium-8 «nuclei»/reactants<br><em><strong>OR</strong></em><br>two smaller nuclei form a lager nucleus ✔</span></p>
<p style="color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;"><span style="background-color: #ffffff;">mass lost/difference is converted to energy «and released»<br><em><strong>OR</strong></em><br><em>E = mc<sup>2</sup></em> ✔</span></p>
<div class="question_part_label">a(ii).</div>
</div>
<div class="question" style="padding-left: 20px;">
<p style="color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;"><span style="background-color: #ffffff;"><em><strong>ALTERNATIVE 1</strong></em><br>3 half-lives ✔<br>0.500 g «of beryllium-8 remain» ✔</span></p>
<p style="color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;"> </p>
<p style="color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;"><span style="background-color: #ffffff;"><em><strong>ALTERNATIVE 2</strong></em><br><span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="m = 4.00{\left( {\frac{1}{2}} \right)^{\frac{{2.01 \times {{10}^{ - 16}}}}{{6.70 \times {{10}^{ - 17}}}}}}"> <mi>m</mi> <mo>=</mo> <mn>4.00</mn> <mrow> <msup> <mrow> <mo>(</mo> <mrow> <mfrac> <mn>1</mn> <mn>2</mn> </mfrac> </mrow> <mo>)</mo> </mrow> <mrow> <mfrac> <mrow> <mn>2.01</mn> <mo>×</mo> <mrow> <msup> <mrow> <mn>10</mn> </mrow> <mrow> <mo>−</mo> <mn>16</mn> </mrow> </msup> </mrow> </mrow> <mrow> <mn>6.70</mn> <mo>×</mo> <mrow> <msup> <mrow> <mn>10</mn> </mrow> <mrow> <mo>−</mo> <mn>17</mn> </mrow> </msup> </mrow> </mrow> </mfrac> </mrow> </msup> </mrow> </math></span> ✔<br>0.500 g «of beryllium-8 remain» ✔</span></p>
<p style="color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;"> </p>
<p style="color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;"><span style="background-color: #ffffff;"><em><strong>ALTERNATIVE 3</strong></em><br><em>λ</em> = « <span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="\frac{{\ln 2}}{{6.70 \times {{10}^{ - 17}}}}"> <mfrac> <mrow> <mi>ln</mi> <mo></mo> <mn>2</mn> </mrow> <mrow> <mn>6.70</mn> <mo>×</mo> <mrow> <msup> <mrow> <mn>10</mn> </mrow> <mrow> <mo>−</mo> <mn>17</mn> </mrow> </msup> </mrow> </mrow> </mfrac> </math></span> »= 1.03 × 10<sup>16</sup> «s<sup>−1</sup>» ✔<br><em>m</em> = « <span class="mjpage"><math xmlns="http://www.w3.org/1998/Math/MathML" alttext="4.00{\text{ }}{{\text{e}}^{ - 1.03 \times {{10}^{16}} \times 2.01 \times {{10}^{ - 16}}}}{\text{ = }}"> <mn>4.00</mn> <mrow> <mtext> </mtext> </mrow> <mrow> <msup> <mrow> <mtext>e</mtext> </mrow> <mrow> <mo>−</mo> <mn>1.03</mn> <mo>×</mo> <mrow> <msup> <mrow> <mn>10</mn> </mrow> <mrow> <mn>16</mn> </mrow> </msup> </mrow> <mo>×</mo> <mn>2.01</mn> <mo>×</mo> <mrow> <msup> <mrow> <mn>10</mn> </mrow> <mrow> <mo>−</mo> <mn>16</mn> </mrow> </msup> </mrow> </mrow> </msup> </mrow> <mrow> <mtext> = </mtext> </mrow> </math></span> » 0.500 «g» ✔</span></p>
<p style="color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;"> </p>
<p style="color: #000000;font-family: Verdana,Arial,Helvetica,sans-serif;font-size: 14px;font-style: normal;font-variant: normal;font-weight: 400;letter-spacing: normal;text-align: left;text-decoration: none;text-indent: 0px;white-space: normal;"><em><span style="background-color: #ffffff;"> NOTE: Award<strong> [2]</strong> for correct final answer.</span></em></p>
<div class="question_part_label">b.</div>
</div>
<h2 style="margin-top: 1em">Examiners report</h2>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">a(i).</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">a(ii).</div>
</div>
<div class="question" style="padding-left: 20px;">
[N/A]
<div class="question_part_label">b.</div>
</div>
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