4. Because of the small particle size of the CaC204•H2O precipitate, some of it passes through the filter and is not collected. How does this loss of precipitate affect the reported percentage of the limiting reactant in the salt mixture?

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### Influence of Precipitate Loss on Limiting Reactant Percentage

**Question 4:**
Because of the small particle size of the CaC₂O₄·H₂O precipitate, some of it passes through the filter and is *not* collected. How does this loss of precipitate affect the reported percentage of the limiting reactant in the salt mixture?

### Detailed Explanation:

When conducting a chemical experiment where the precipitation and filtration processes are used to determine the amount of a product (in this case, Calcium Oxalate Monohydrate - CaC₂O₄·H₂O), the particle size of the precipitate can significantly impact the accuracy of the results. If the precipitate particles are too small, they may pass through the filter, leading to an incomplete collection of the solid product.

This incomplete collection means that the actual mass of the precipitate recovered will be less than the theoretical amount that should be formed based on stoichiometric calculations. 

The reported percentage of the limiting reactant, which is calculated using the mass of the collected precipitate, will consequently be lower than the actual percentage. This is because the lower mass of the recovered precipitate will suggest that a smaller amount of the limiting reactant was used in the reaction than actually was. In other words, the perceived efficiency of the limiting reactant will be underestimated, which can lead to incorrect conclusions about the reactant quantities and the reaction yield.

**Key Points:**
- Small particle size of CaC₂O₄·H₂O precipitate may cause it to pass through the filter.
- Loss of precipitate results in a lower reported mass of the collected product.
- The reported percentage of the limiting reactant will be inaccurately low.
- This underestimation impacts the perceived efficiency and yield of the reaction.

This methodological nuance highlights the importance of considering particle size and filtration efficiency in experimental design to ensure accurate measurement and analysis.
Transcribed Image Text:### Influence of Precipitate Loss on Limiting Reactant Percentage **Question 4:** Because of the small particle size of the CaC₂O₄·H₂O precipitate, some of it passes through the filter and is *not* collected. How does this loss of precipitate affect the reported percentage of the limiting reactant in the salt mixture? ### Detailed Explanation: When conducting a chemical experiment where the precipitation and filtration processes are used to determine the amount of a product (in this case, Calcium Oxalate Monohydrate - CaC₂O₄·H₂O), the particle size of the precipitate can significantly impact the accuracy of the results. If the precipitate particles are too small, they may pass through the filter, leading to an incomplete collection of the solid product. This incomplete collection means that the actual mass of the precipitate recovered will be less than the theoretical amount that should be formed based on stoichiometric calculations. The reported percentage of the limiting reactant, which is calculated using the mass of the collected precipitate, will consequently be lower than the actual percentage. This is because the lower mass of the recovered precipitate will suggest that a smaller amount of the limiting reactant was used in the reaction than actually was. In other words, the perceived efficiency of the limiting reactant will be underestimated, which can lead to incorrect conclusions about the reactant quantities and the reaction yield. **Key Points:** - Small particle size of CaC₂O₄·H₂O precipitate may cause it to pass through the filter. - Loss of precipitate results in a lower reported mass of the collected product. - The reported percentage of the limiting reactant will be inaccurately low. - This underestimation impacts the perceived efficiency and yield of the reaction. This methodological nuance highlights the importance of considering particle size and filtration efficiency in experimental design to ensure accurate measurement and analysis.
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