ABC-BIO study guide
ABC-BIO · Work through your exam, one topic at a time.
The ABC-BIO is listed on this site as a Bioanalytical Chemistry exam, but the only page we were able to retrieve for it does not contain an exam profile. The URL https://www.abcc.org/bioanalytical-chemistry/ returned a 404 'page not found' page belonging to the Arabic Bible Christian Church in Long Beach, California, so the page carried navigation links, a media search box, an address, an email address and a phone number, but no information about the credential itself. As a result, we cannot tell you who the exam is intended for, what its content outline covers, how many questions it contains, how long it lasts, what score is required to pass, what it costs, whether retakes are permitted, or how long a result remains valid. The two content domains shown on this page (Bioanalytical Chemistry and General Analytical Chemistry, weighted 50% each) are placeholders we split evenly for navigation only; they are not drawn from any published blueprint and should not be used to plan study. Topics on this exam: Bioanalytical Chemistry and General Analytical Chemistry. The ABC-BIO study guide has 2 sections and about 549 words.
01Bioanalytical Chemistry: Measuring Analytes in Biological Matrices
Bioanalytical chemistry quantifies drugs, metabolites, and biomarkers in matrices such as plasma, serum, urine, and tissue. Candidates must understand sample preparation (protein precipitation, liquid-liquid extraction, solid-phase extraction), chromatographic separation (reversed-phase LC is the default for small molecules), and detection (LC-MS/MS with electrospray or APCI ionization, or ligand-binding assays such as ELISA for macromolecules).
285 words, about 1 min02General Analytical Chemistry: Validation, Calibration, and Quality Control
General analytical chemistry underpins all quantitative measurement. Candidates should master calibration (external standard, internal standard, standard addition), figures of merit (linearity, sensitivity/slope, LOD/LOQ, selectivity, robustness), and statistical treatment of data (mean, standard deviation, confidence intervals, outlier tests).
264 words, about 1 min