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ideal solution are those which obey raoult's law at all conceutrations and temperatures

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11y ago
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7mo ago

An ideal solution is a solution where all the components are completely miscible with each other in all proportions, resulting in a single-phase mixture. This means there is no change in enthalpy or volume when the components are mixed, leading to ideal behavior according to Raoult's Law. Ideal solutions are often used in chemistry to simplify calculations and models.

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The osmotic pressure of a 0.010 M MgSO4 solution at 25 degrees Celsius is 0.318 ATM Calculate i the van't Hoff factor for this solution?

Since osmotic pressure is directly proportional to the van't Hoff factor, the van't Hoff factor for this solution is equal to the obtained osmotic pressure divided by the ideal osmotic pressure for a 0.010 M solution at the given temperature. The ideal osmotic pressure can be calculated using the formula π = iMRT, where i is the van't Hoff factor, M is the molarity, R is the ideal gas constant, and T is the temperature in Kelvin.


How does using cold water below 55 degrees in a chlorine sanitizer solution impact the solution?

Using cold water below 55 degrees Fahrenheit can slow down the effectiveness of the chlorine sanitizer solution. It may result in chlorine not dissolving properly or taking longer to disinfect surfaces. The ideal temperature for chlorine sanitizer solutions is between 75-120 degrees Fahrenheit for efficient sanitization.


How big can copper sulphate crystals be?

Copper sulfate crystals can grow up to several centimeters in size under ideal conditions. The size of the crystals depends on factors such as the concentration of the solution, temperature, and the rate of crystal growth.


How many molecules are in 100 L of potassium hydroxide solution at STP?

To determine the number of molecules in 100 L of potassium hydroxide solution at STP, we need to use the ideal gas law equation. First, calculate the number of moles of KOH using the solution's concentration. Then convert moles to molecules by multiplying by Avogadro's number (6.022 x 10^23).


Is krypton an ideal gas?

Krypton is not an ideal gas because it deviates from the ideal gas law at high pressures and low temperatures due to its intermolecular interactions. At standard conditions, krypton behaves closely to an ideal gas, but as conditions vary, its non-ideal characteristics become more pronounced.

Related questions

What is the difference between Real and Ideal solution?

there is no interaction between the components in ideal solution whereas in non-ideal solution there is interactions between components. ideal solution obeys Raoult`s law whereas non-ideal solution do not obeys it. no volume change occurs on mixing due to no interaction in ideal solution whereas in non-ideal solution volume change occurs.


Is old age home a solution?

In certain circumstances it is an ideal solution.


What is ideal solution?

The solution that is most suited for something or best of all.


Graph of ideal-non ideal solution with concentration?

non ideality of solutions via graphs


Is water and ethanol a ideal solution?

No this is not an ideal solution, because water and alcohol (ethanol) molecules interact rather complex resulting in eg. an azeotropic boiling point at 96% mixture


What is topsis method?

Technique for Ordered Preference by Similarity to ideal solution


What are the Example of an ideal solution?

Ideal Solutions are those which obey Raoult's Law at all concentrations and Temperatures. Some examples of ideal solution liquid pairs are benzene and toluene, n-heptane and n-hexane, ethyl bromide and ethyl iodide, chlorobenzene and bromo benzene etc.


Problem and solution for maximal ideal in mathematics?

Given a ring R and a proper ideal I of R(that is I ≠ R), I is called a maximal ideal of R if there exists no other proper ideal J of R so that I ⊂ J. Is that the ideal you are talking about? If so, not sure what you want to know?


Explain factors that limits banks ability to create money?

no ideal i need solution


What is TOPSIS method in Multi criteria Decision making?

it stand for Technique For Order preference BY Similarity to Ideal Situation The principle behind TOPSIS is simple: The chosen alternative should be as close to the ideal solution as possible and as far from the negative-ideal solution as possible. The ideal solution is formed as a composite of the best performance values exhibited (in the decision matrix) by any alternative for each attribute. The negative-ideal solution is the composite of the worst performance values. Proximity to each of these performance poles is measured in the Euclidean sense (e.g., square root of the sum of the squared distances along each axis in the "attribute space"), with optional weighting of each attribute.


What is TOPSIS method in Multi-criteria -Decision -making?

it stand for Technique For Order preference BY Similarity to Ideal Situation The principle behind TOPSIS is simple: The chosen alternative should be as close to the ideal solution as possible and as far from the negative-ideal solution as possible. The ideal solution is formed as a composite of the best performance values exhibited (in the decision matrix) by any alternative for each attribute. The negative-ideal solution is the composite of the worst performance values. Proximity to each of these performance poles is measured in the Euclidean sense (e.g., square root of the sum of the squared distances along each axis in the "attribute space"), with optional weighting of each attribute.


What is TOPSIS method in Multi-criteria Decision making?

it stand for Technique For Order preference BY Similarity to Ideal Situation The principle behind TOPSIS is simple: The chosen alternative should be as close to the ideal solution as possible and as far from the negative-ideal solution as possible. The ideal solution is formed as a composite of the best performance values exhibited (in the decision matrix) by any alternative for each attribute. The negative-ideal solution is the composite of the worst performance values. Proximity to each of these performance poles is measured in the Euclidean sense (e.g., square root of the sum of the squared distances along each axis in the "attribute space"), with optional weighting of each attribute.