If you have been reading about calibration curve and want a single page that covers the useful parts, this is it: definitions, context, how it is studied, and the questions that come up repeatedly.
Last reviewed on 2026-05-25. Where a claim depends on a specific study, the study is described rather than over-claimed.
Quality control for HPLC testing combines scheduled checks, documented procedures, and review of results. Before sample analysis, system suitability testing confirms that the instrument, column, and method meet predefined criteria. Common criteria include resolution between critical peaks, retention time precision, peak tailing, and theoretical plate count. Failure triggers investigation before results are reported. Records link raw data, calculations, instrument logs, and analyst identity to each batch, supporting audits and repeat analysis.
Method validation evaluates accuracy, precision, specificity, linearity, range, detection limit, quantitation limit, and robustness. Regulatory guidance for pharmaceuticals, foods, and environmental testing defines expected documentation and acceptance criteria. Verification confirms that a validated method works in a specific laboratory with its own instruments and reagents. Calibration curves use reference standards with known purity and traceability, while measurement uncertainty is estimated from validation data, control charts, and collaborative studies. The scope of validation depends on the method's intended use.
Routine quality control monitors retention time shifts, baseline noise, system pressure, and peak shape. Trends can reveal column aging, mobile phase preparation errors, detector drift, or sample degradation. Corrective actions may include replacing the column, preparing fresh mobile phase, or recalibrating the detector. Stability testing often uses HPLC to measure parent compound loss and degradation product formation. Open questions remain about how accelerated stability results extrapolate to long-term storage under varied conditions.
Validation demonstrates that a method is suitable for its intended use. Typical performance characteristics include accuracy, precision, specificity, linearity, range, limit of detection, limit of quantitation, and robustness. Regulators and standards organizations provide frameworks, but specific requirements depend on the application and jurisdiction. System suitability tests are run before sample analysis to confirm resolution, peak symmetry, retention time repeatability, and sensitivity. A validated method is not permanently fixed; changes may require partial or full revalidation.
Routine HPLC testing depends on controlled reagents, calibrated instruments, and documented procedures. Columns degrade over time, so retention times and peak shapes are monitored for drift. Mobile phases are filtered and degassed to prevent pump damage and detector noise. Reference standards must be traceable and stored under suitable conditions. Data handling systems record injections, calculations, and audit trails. Quality control samples interspersed with unknowns help detect errors during a run.
Developing an HPLC method begins with defining the purpose, such as quantifying a main component, measuring impurities, or confirming identity. Analysts select separation mode, column, mobile phase, detection, and sample preparation based on analyte properties and matrix. Experiments vary solvent strength, pH, buffer type, and temperature to achieve resolution between critical peaks. The goal is a robust method that produces reliable results across instruments and operators. Method development often involves trial runs and statistical optimization.
| Property | Value | Notes |
|---|---|---|
| Retention time RSD | ≤1% for five replicate injections | Typical criterion; method-specific limits apply. |
| Resolution | ≥1.5 between critical pair | Baseline separation is generally desired. |
| Tailing factor | ≤2.0 | Measures peak symmetry. |
| Theoretical plates | ≥2000 per column | Method-dependent; higher values indicate greater efficiency. |
| Peak area RSD | ≤2% for replicate injections | Reflects autosampler and detector precision. |
Quality control laboratories use HPLC to check identity, purity, concentration, and stability of raw materials and finished products. A validated method specifies the column, mobile phase, flow rate, detection wavelength, injection volume, and run time. Samples are prepared and compared against reference standards of known concentration. The resulting chromatogram provides quantitative data, such as assay values and impurity levels. This approach is common in pharmaceutical, food, environmental, and industrial testing where consistent measurements are required.
Method validation demonstrates that an analytical procedure is suitable for its intended purpose. Typical validation characteristics include accuracy, precision, specificity, linearity, range, limit of detection, limit of quantitation, and robustness. Regulatory guidance from bodies such as the International Council for Harmonisation and the United States Pharmacopeia outlines expectations, though specific criteria depend on the product and method. System suitability tests are run before sample analysis to confirm resolution, peak symmetry, column efficiency, and injection repeatability. Failure of these checks can invalidate a batch of measurements.
Practical HPLC testing depends on careful sample preparation and instrument maintenance. Samples may require filtration, dilution, pH adjustment, or extraction to avoid column damage and matrix interference. Mobile phases are degassed and filtered, and columns are equilibrated before injection. Common problems include peak tailing, baseline drift, ghost peaks, carryover, and co-elution of analytes. Documentation of instrument logs, calibration records, and electronic audit trails supports data integrity and traceability. Ongoing training and routine maintenance help reduce variability between analysts and laboratories.
High-performance liquid chromatography is an analytical technique that separates components in a liquid sample by passing them through a packed column under pressure. A pump delivers a mobile phase at a controlled flow rate, and an injector introduces the sample into the stream. Differences in how analytes partition between the mobile phase and the stationary phase cause them to exit the column at different times. Detection then records a signal proportional to the amount of each separated substance. The resulting chromatogram provides retention times and peak areas for identification and quantification.
Instrumentation includes a solvent delivery system, an autosampler, a column oven, and one or more detectors. Reversed-phase columns with chemically modified silica are widely used, but normal-phase, ion-exchange, size-exclusion, and affinity modes exist for specific separations. Detectors may rely on ultraviolet absorbance, fluorescence, refractive index, or mass spectrometry. Column temperature, mobile phase composition, and flow rate are adjusted to improve resolution. System pressure is monitored because rising pressure can indicate column blockage or deteriorating packing.
Separation performance depends on particle size, pore size, column length, and the chemistry of the stationary phase. Smaller particles generally improve efficiency but require higher pressure and suitable instrumentation. The mobile phase often contains buffers and organic solvents that influence retention and selectivity. Testing labs select conditions based on the analytes, sample matrix, and required sensitivity. Method development frequently involves screening several columns and solvent mixtures before a final set of conditions is chosen.
Adenomatous polyposis coli protein 2 is a protein that in humans is encoded by the APC2 gene. This is a dual-functional protein which is especially prevalant in the developing brain, and involved in cell signaling (specifically Wnt signaling) and stabilizing the cytoskeleton. Frizzled receptors are a type of cell receptor involved in a variety of functions including embryonic development and cell proliferation. These receptors trigger a cascade of reactions called the Wnt signaling pathway that eventually leads to interaction with the DNA via the protein beta-catenin, which affects which proteins get produced by the cell. The APC2 protein promotes the formation of a protein complex which is involved in breaking down the protein beta-catenin. The APC2 protein stabilizes microtubules, which are part of the cell cytoskeleton. It may also be involved in the regulation of actin fibers my means of GTPase activation (specifically the Rho family).
Arrestins are elongated molecules, in which several intra-molecular interactions hold the relative orientation of the two domains. Unstimulated cell arrestins are localized in the cytoplasm in a basal inactive conformation. Active phosphorylated GPCRs recruit arrestin to the plasma membrane. Receptor binding induces a global conformational change that involves the movement of the two arrestin domains and the release of its C-terminal tail that contains clathrin and AP2 binding sites. Increased accessibility of these sites in receptor-bound arrestin targets the arrestin-receptor complex to the coated pit. Arrestins also bind microtubules (part of the cellular skeleton), where they assume yet another conformation, different from both free and receptor-bound form. Microtubule-bound arrestins recruit certain proteins to the cytoskeleton, which affects their activity and/or redirects it to microtubule-associated proteins. Arrestins shuttle between cell nucleus and cytoplasm. Their nuclear functions are not fully understood, but it was shown that all four mammalian arrestin subtypes remove some of their partners, such as protein kinase JNK3 or the ubiquitin ligase Mdm2, from the nucleus. Arrestins also modify gene expression by enhancing transcription of certain genes.
AM function can be compared to another peptide called pro-adrenomedullin N-terminal 20 peptide (PAMP), which both originate from a common precursor leading to angiogenesis, vasodilation, and anti-inflammatory processes. These two peptides are expressed in the gastrointestinal (GI) tract at a mass level, serving as GI hormones controlling processes like insulin secretion and gastric emptying. Past studies reveal that AM and PAMP also impact gut microbiome composition by fostering the development of beneficial bacteria (i.e., Bifidobacterium and Lactobacillus) and diminishing detrimental microbes.
Degradation of an amino acid often begins with transamination, in which its amino group is transferred to α-ketoglutarate, forming glutamate. This process involves transaminases, often the same enzymes used in amino acid synthesis. In many vertebrates, the amino group is subsequently released as ammonia and converted to urea via the urea cycle for excretion. However, amino acid degradation can result in uric acid or ammonia instead, depending on the organism. For example, serine dehydratase converts serine directly to pyruvate and ammonia. After removal of one or more amino groups, the remaining carbon skeleton of an amino acid can serve as a precursor for synthesizing other amino acids, be further metabolized for energy after conversion into intermediates of glycolysis (typically via gluconeogenesis) or of the citric acid cycle, or be used for fatty acid synthesis and storage as triacylglycerol. Amino acids are bidentate ligands, forming transition metal amino acid complexes.
Sources: en.wikipedia.org
It was hoped that ANGPTL8 or its homolog in humans may provide an effective treatment for type 2 diabetes and perhaps even type I diabetes. Unfortunately, since new data have greatly called into question the ability of ANGPTL8 to increase beta-cell replication, its potential use as a therapy for type 2 diabetes is limited. Inhibition of ANGPTL8 represents a possible therapeutic strategy for hypertriglyceridemia. In a clinical trial, a human ANGPTL3/8 monoclonal antibody reduced the concentration of triglycerides (-70%), and low-density lipoprotein cholesterol (-32%), while increasing HDL- cholesterol (+27%), representing a promising therapy for multiple lipid disorders. Human C19orf80 genome location and C19orf80 gene details page in the UCSC Genome Browser.
Alfred Ellis Wilhelmi (1910–1994) was an American endocrinologist recognized for contributing to the understanding of anterior pituitary hormones. Born in Lakewood, Ohio, Wilhelmi attended Cleveland public schools. Wilhelmi earned a B.S. degree in premedical sciences from Western Reserve University in 1933. He then attended Oxford University as a Rhodes Scholar, where he obtained a B.A. in 1933 and Ph.D. in animal physiology in 1937. He then joined Yale University's Biochemistry Department, rising to the position of Professor in 1950. Wilhelmi chaired the Department of Biochemistry at Emory University School of Medicine from 1950 to 1977. In 1960, he was named Charles Howard Candler Professor of Biochemistry. In 1979, he received Emory's Thomas Jefferson award for service to the university and community. Wilhelmi also was President of the Endocrine Society from 1968 to 1969. During his career, he published over 80 articles in scientific journals.
GPCRs become desensitized when exposed to their ligand for a long period of time. There are two recognized forms of desensitization: 1) homologous desensitization, in which the activated GPCR is downregulated; and 2) heterologous desensitization, wherein the activated GPCR causes downregulation of a different GPCR. The key reaction of this downregulation is the phosphorylation of the intracellular (or cytoplasmic) receptor domain by protein kinases. Cyclic AMP-dependent protein kinases (protein kinase A) are activated by the signal chain coming from the G protein (that was activated by the receptor) via adenylate cyclase and cyclic AMP (cAMP). In a feedback mechanism, these activated kinases phosphorylate the receptor. The longer the receptor remains active the more kinases are activated and the more receptors are phosphorylated. In β2-adrenoceptors, this phosphorylation results in the switching of the coupling from the Gs class of G-protein to the Gi class. cAMP-dependent PKA mediated phosphorylation can cause heterologous desensitisation in receptors other than those activated.
Sources: en.wikipedia.org
Can resolve fine-scale variations in chemical elements. Can be used to identify the presence and distribution of different phases in materials. Requires less sample material and therefore can provide information on microscopic objects. Handling of small quantities is not always simple. Higher accuracy of weighing is necessary (e.g. use of accurate balance). Sample surface preparation can have a major impact on measurement results.
2-Aminoisobutyric acid (Aib) is the non-proteinogenic amino acid with the structural formula H2N-C(CH3)2-COOH. The Aib residue is a component of tirzepatide, a commonly prescribed antidiabetic medication for treatment of type 2 diabetes. Although uncommon, it is also found in some natural products 2-Aminoisobutyric acid can be prepared from acetone cyanohydrin, by reaction with ammonia followed by hydrolysis. The compound is not chiral, unlike most amino acids. It is a strong helix inducer in peptides due to Thorpe–Ingold effect of its gem-dimethyl group. Oligomers of Aib form 310 helices.
Clostridioides difficile has a highly diverse epigenome, with 17 high-quality methylation motifs reported so far, the majority pertaining to the 6mA type. Methylation at one of these motifs - CAAAAA, was shown to impact sporulation, a key step in C. difficile disease transmission, as well as cell length, biofilm formation, and host colonization. At least eight mainly temperate bacteriophages have been isolated from C. difficile, ranging in genome size from about 30 to about 60 kbp. Both environmentally and clinically derived C. difficile strains carry a diverse and prevalent set of prophages. Canada Pathogen Safety Data Sheets: Infectious Substances – Clostridium difficile, Public Health Agency, Canada, September 10, 2014. Type strain of Clostridium difficile, BacDive—the Bacterial Diversity Metadatabase
Sources: en.wikipedia.org
System suitability is typically performed before each batch or according to the validated method and laboratory procedure. Some long runs include periodic checks during analysis. The required frequency depends on regulatory expectations and method performance.
Retention time drift can result from changes in mobile phase composition, column temperature, pump flow, or column age. A gradual shift often points to column degradation. A sudden shift may indicate a leak, mixing error, or incorrect mobile phase.
Retention time alone cannot confirm identity because different compounds may elute at similar times. Coupling HPLC with mass spectrometry or comparing against authenticated standards increases confidence. Confirmation usually requires orthogonal data.
It is a set of checks performed before or during an HPLC run to confirm the system works as expected. Parameters may include resolution, tailing factor, theoretical plates, and retention time precision. Failure can trigger maintenance, method adjustment, or repeat analysis.