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Assay Lipid Basis Reference Factor Tool

Convert compatible supplied mass-basis research assay fractions without interpreting health effects.

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Description

Convert wet-basis concentration to lipid basis and reference composition.

Biomarker normalization changes the reporting basis, for example from sample volume to creatinine, lipid mass, moles or matrix quantity. The numerator, denominator and conversion factors must describe compatible quantities; normalization does not by itself establish exposure, toxicity or clinical meaning.

Convert wet-basis concentration to lipid basis and reference composition.

When to use this tool

Use Assay Lipid Basis Reference Factor when converting or comparing the stated analytical reporting basis.

How to use the tool and how it works

  1. Enter wetBasisConcentration, lipidFraction, referenceLipidFraction. Use the units and conventions below.
  2. Run the tool. Correct any format, range, or cross-field input error before interpreting the output.
  3. Read lipidBasis, referenceEquivalent. Use the output convention below.

Convert wet-basis concentration to lipid basis and reference composition. Require lipidFraction in (0,1] and referenceLipidFraction in [0,1]; lipidBasis = wetConcentration/lipidFraction, referenceEquivalent = lipidBasis*referenceFraction.1

Input fieldMeaning and unitsAccepted input
wetBasisConcentrationWet Basis ConcentrationRequired. Finite number.
lipidFractionLipid mass per wet sample mass, strictly positive.Required. Finite number; maximum 1; strictly above 0.
referenceLipidFractionReference lipid mass fraction, including zero.Required. Finite number; minimum 0; maximum 1.
Output fieldInterpretationReturned shape
lipidBasisLipid BasisRequired. Finite number.
referenceEquivalentReference EquivalentRequired. Finite number.
json
{
  "input": {
    "wetBasisConcentration": 2,
    "lipidFraction": 0.1,
    "referenceLipidFraction": 0.05
  },
  "output": {
    "lipidBasis": 20,
    "referenceEquivalent": 1
  }
}

Limitations and assumptions

  • Fractions are mass fractions on consistent bases; this bookkeeping assumes the chosen normalization rather than proving biological partitioning.
  • Inputs must satisfy both the field types and the cross-field conditions above. Invalid input causes an error; a successful false flag or documented placeholder is a different result.
  • Numeric calculations use binary floating point unless exact decimal-integer arithmetic is explicitly stated. No hidden measurement tolerance or decimal rounding is added; nonfinite or out-of-contract results are rejected. Numeric signed-zero results are exported as zero.

Alternative or Complementary methods

Verify units, matrix identity, method calibration and the intended normalization model before making exposure or health inferences.

References

  1. Calculation and input contract: biomonitoring/assay-lipid-basis-reference-factor — tool.io

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