How to Calculate Heat Produced by a Coffee Cup Calorimeter Reaction?

In summary, the experiment involves reacting 0.050 g of solid Mg with 100.0 mL of 1.00M aqueous HCl in a coffee-cup calorimeter. The temperature of the solution increases by 2.25 degrees Celsius. To calculate the heat produced by the reaction, the mass of all substances involved should be used in the Q = mct equation, resulting in a heat of 883.945 J. The assumptions given include the small specific heat of the calorimeter, the same specific heat for dilute aqueous solutions as water, and a density of approximately 1.00 g/mL for dilute aqueous solutions.
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Homework Statement


The reaction of 0.050 g of solid Mg with 100.0 mL of 1.00M aqueous HCl solution is carried out in a coffe-cup calorimeter. The temperature of the solution increases from 22.21 degrees Celsius to 24.46 degrees Celsius. How much heat is produced by the reaction?


Homework Equations


Q = m*c*Δt

Mg + 2HCl → MgCl2 + H2

The Attempt at a Solution


mols Mg = .002057
mols HCl = .1
Limiting Reactant = Mg
Δt = 2.25 degrees Celsius

I am confused since there is no water involved in the reaction. Assumptions I was given are:
1. The specific heat/molar heat of a calorimeter is small and can be ignored.
2. The specific heat/molar heat of a dilute aqueous solution is the same as that of water, c = 4.184 J/g°C.
3. The densities of dilute aqueous solutions are approximately 1.00 g/mL.

I believe I am to use the Q = mct equation. I know the specific heat, c, should be 4.184, and that the change in temperature is 2.25 degrees Celsius. However, I am not sure what to put for m, the mass. Should m be the total mass of everything or just the mass of the substances actually used in the reaction that takes place?
 
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  • #2
If m is the mass of the substances used in the reaction, then m = 0.050 g Mg + (100 mL)(1.00 g/mL) = 100.5 g. Q = (100.5 g)(4.184 J/g °C)(2.25 °C) = 883.945 J. Is this the correct approach?
 

1. What is a Coffee Calorimetry Problem?

A Coffee Calorimetry Problem is a scientific experiment in which the heat released from a cup of coffee is measured and calculated using a device called a calorimeter. This experiment is used to determine the amount of energy (in the form of heat) released or absorbed during a chemical or physical change, such as the cooling of a hot cup of coffee.

2. How does a calorimeter work?

A calorimeter works by measuring the temperature change of a substance (in this case, coffee) as it undergoes a chemical or physical change. The calorimeter consists of a thermometer, an insulated container, and a stirrer. The heat released or absorbed by the coffee is transferred to the surrounding water in the calorimeter, causing a change in temperature that can be measured and used to calculate the heat released or absorbed.

3. What are the applications of the Coffee Calorimetry Problem?

The Coffee Calorimetry Problem has various applications in the fields of chemistry, physics, and thermodynamics. It is commonly used to determine the specific heat capacity of substances, to measure the energy released during combustion reactions, and to study the efficiency of different heating or cooling processes.

4. How is the heat of a cup of coffee related to its temperature?

The heat of a cup of coffee is directly related to its temperature. As the temperature of the coffee decreases, the heat energy is released from the coffee into the surrounding environment. This heat release can be measured and used to calculate the heat capacity of the coffee and the amount of energy released during the cooling process.

5. What are the limitations of the Coffee Calorimetry Problem?

One limitation of the Coffee Calorimetry Problem is that it assumes that all of the heat released from the coffee is transferred to the surrounding water in the calorimeter, which may not be entirely accurate. Additionally, the quality and accuracy of the results may be affected by external factors such as variations in room temperature or the amount of time between heating and cooling the coffee. It is important to carefully control these variables in order to obtain reliable results.

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