Mass concentration and molar concentration for peptides
Understand the difference between mass per volume and amount of substance per volume, with a worked conversion and its assumptions.
Read the article →Explore peptide science, analytical testing and the documentation behind research materials.
Understand the difference between mass per volume and amount of substance per volume, with a worked conversion and its assumptions.
Read the article →Read Da and kDa as molecular mass units, convert between them and avoid confusing molecular size with the amount in a vial.
Read the article →Convert nM, µM and mM accurately and catch prefix, case and transcription errors when reading laboratory concentrations.
Read the article →Identify the numerator and denominator behind percentages, and distinguish percentage points from relative percentage changes.
Read the article →Decode ppm and ppb, preserve their composition basis and avoid treating mass fractions as liquid concentrations without density information.
Read the article →Distinguish a ratio of amounts in moles from a mass ratio, a fraction of the total and evidence of chemical association.
Read the article →Read the precision implied by a written number without mistaking extra digits for a smaller measurement uncertainty.
Read the article →Apply a stated rounding convention, avoid repeated rounding and preserve the information needed for comparisons near a specification limit.
Read the article →Use units to detect missing factors and incorrect algebra, while recognising that matching dimensions does not prove a calculation's scientific basis.
Read the article →Recognise when a requested conversion needs molecular identity, composition, density or a measurement relationship that the source has not supplied.
Read the article →Read a peptide–receptor interaction claim by separating molecular recognition, binding evidence and the response measured in the experiment.
Read the article →Understand functional receptor labels, why partial agonism depends on the experimental system, and how to avoid turning the labels into a ranking.
Read the article →