Limit of Detection Calculator

Limit of Detection Calculator MCP Connector for Claude

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Calculate LOD, LOQ, and noise profiles using IUPAC-compliant statistical methods.

4 tools Official Updated Oct 1, 2026 Official Vinkius Partner

This MCP server provides specialized analytical tools for determining the minimum detectable and quantifiable concentrations of substances. It uses IUPAC-compliant statistical methods to process blank measurements and calibration data. Use calculate_detection_limits to find the LOD and LOQ, analyze_noise_profile to assess baseline stability, validate_calibration_parameters to check statistical validity, and estimate_minimum_sample_size to plan your analytical runs.

analytical-chemistryiodpstatisticsdetection-limitslaboratory

4 tools expose this connector's capabilities to your AI agent.

analyze_noise_profile

Analyze the stability and noise profile of the blank measurements

calculate_detection_limits

Calculate LOD and LOQ based on blank measurements and sensitivity

estimate_minimum_sample_size

Estimate the minimum number of blank replicates needed for desired precision

validate_calibration_parameters

Validate if calibration and confidence settings are statistically valid

See how to talk to your AI agent using Limit of Detection Calculator.

What are the LOD and LOQ for my measurements: [0.01, 0.02, 0.015, 0.012, 0.018] with a sensitivity of 0.5 and a multiplier of 3?

The calculated Limit of Detection (LOD) is 0.0072 and the Limit of Quantification (LOQ) is 0.072.

Is my baseline stable with these blank measurements: [10.1, 10.2, 10.1, 10.3, 10.2]?

Yes, the baseline is stable with a mean of 10.18 and a standard deviation of 0.084.

How many blank replicates do I need for a target precision of 0.05 if my current noise is 0.02?

You need to perform 16 blank replicates to achieve the desired precision.

The LOD is calculated by multiplying the standard deviation of the blank measurements by the confidence multiplier and dividing the result by the calibration sensitivity.

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