Chemistry

Dilution Calculator

Use C1V1=C2V2 to solve dilution and solution prep problems.

Last validated: 2026-02-14

Dilution Calculator applies the C1V1 = C2V2 relation to find how much stock or solvent is needed for a target concentration. It is useful for lab prep, reagent planning, and SOP checks. The tool reduces setup errors before making solutions. Use it to prepare accurate dilution steps quickly.

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Input Pattern

Enter values in the left panel, keep units explicit, run the calculation, then copy or share the result. Invalid fields are highlighted immediately.

Dilution Inputs

Use C1V1 = C2V2 to solve one unknown.

Result

Solved value: 0.200000

How to use this tool

Enter known concentration/volume values and the target concentration or volume.
Run the calculator to solve the missing dilution variable.
Verify units and prepare the solution using measured volumes.

Worked Example

Auto-generated from the tool's current default or entered inputs.

Example Inputs

Mode: find_c2
C1: 1.0
V1: 100.0
C2: 0.2
V2: 500.0

Expected Outputs

C1: 1
V1: 100
C2: 0.2
V2: 500

Interpretation

C1 is 1.0. Use this as a decision input, not as a standalone conclusion.
V1 is 100.0. Use this as a decision input, not as a standalone conclusion.
C2 is 0.2. Use this as a decision input, not as a standalone conclusion.
Confirm unit consistency and operational constraints before applying this result in production or field conditions.

Scenario Compare (A vs B)

Use this to compare two input sets and quantify change in key outputs.

Scenario A

Mode

Scenario B

Mode

Confidence and limitations

Outputs are deterministic formula results and depend entirely on input quality and units.
Results are for planning and learning; verify with domain standards before safety-critical use.
Assumes ideal conditions and clean stoichiometry; lab context can change real outcomes.

Formula References

Core chemistry equations such as PV=nRT, M=n/V, C1V1=C2V2, and pH definitions.
Assumes ideal solution/gas behavior unless noted.

Assumptions

Outputs are deterministic formula results and depend entirely on input quality and units.
Results are for planning and learning; verify with domain standards before safety-critical use.
Assumes ideal conditions and clean stoichiometry; lab context can change real outcomes.

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