The short version of Calibration curve fits in a sentence. The long version — which is the one that helps — is below.
This page was last updated on 2025-08-17 and is reviewed periodically as new material appears.
Quality control samples are inserted at intervals to monitor accuracy and precision throughout a batch. Blank samples detect contamination, while spiked samples assess recovery from the sample matrix. Calibration standards establish the relationship between detector response and concentration, and control samples are prepared independently from them whenever possible. Laboratories also participate in proficiency testing and maintain audit trails, instrument logs, and reagent records. Ongoing review of control charts can reveal trends before they cause out-of-specification results.
Method validation demonstrates that an HPLC procedure is suitable for its intended purpose. Common validation parameters include accuracy, precision, specificity, linearity, range, limit of detection, limit of quantification, and robustness. Accuracy reflects agreement with a reference value, while precision describes repeatability under defined conditions. Specificity shows whether the method can measure the analyte in the presence of impurities or matrix components. Validation documents are reviewed before a method is used for routine testing or regulatory submissions.
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.
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.
| Property | Value | Notes |
|---|---|---|
| Validation parameter | Accuracy | Closeness to a reference value. |
| Validation parameter | Precision | Repeatability or intermediate precision. |
| Validation parameter | Linearity | Proportional response across a range. |
| System suitability check | Resolution | Separation between adjacent peaks. |
| Quality control tool | Control chart | Tracks results over time for trends. |
Most routine HPLC testing uses reversed-phase columns, where the stationary phase is nonpolar and the mobile phase is a polar mixture such as water with an organic solvent. Analytes partition between the two phases according to polarity, size, and charge. Gradients that change solvent composition over time can separate compounds with broad retention ranges. Isocratic conditions keep solvent composition constant and suit simpler mixtures. The choice of column chemistry, pH, and temperature affects selectivity and peak shape.
Detection in HPLC testing commonly relies on ultraviolet-visible absorbance, fluorescence, refractive index, or mass spectrometry. UV detection is widely used because many organic compounds absorb light, but it requires a chromophore. Mass spectrometry provides mass-based identification and high sensitivity for trace analytes. Each detector has trade-offs in selectivity, cost, and compatibility with mobile phases. Quantification typically uses calibration curves prepared from reference standards. Results are reported as concentration, purity, or presence above a limit.
HPLC testing separates dissolved compounds by passing a liquid sample through a column packed with stationary phase. A pump delivers mobile phase at controlled flow, and the sample components interact differently with stationary and mobile phases. Compounds that spend more time in mobile phase elute earlier; those retained by stationary phase elute later. Detectors record elution as peaks, and peak area or height relates to amount. This mechanism underpins quantitative analysis of mixtures.
Intussusceptive angiogenesis, also known as splitting angiogenesis, is the formation of a new blood vessel by splitting an existing blood vessel into two. Intussusception was first observed in neonatal rats. In this type of vessel formation, the capillary wall extends into the lumen to split a single vessel in two. There are four phases of intussusceptive angiogenesis. First, the two opposing capillary walls establish a zone of contact. Second, the endothelial cell junctions are reorganized and the vessel bilayer is perforated to allow growth factors and cells to penetrate into the lumen. Third, a core is formed between the 2 new vessels at the zone of contact that is filled with pericytes and myofibroblasts. These cells begin laying collagen fibers into the core to provide an extracellular matrix for growth of the vessel lumen. Finally, the core is fleshed out with no alterations to the basic structure. Intussusception is important because it is a reorganization of existing cells. It allows a vast increase in the number of capillaries without a corresponding increase in the number of endothelial cells. This is especially important in embryonic development as there are not enough resources to create a rich microvasculature with new cells every time a new vessel develops.
The main etiologic factor of ACC is unknown, although families with Li–Fraumeni syndrome, caused by an inherited inactivation mutation in TP53, have increased risk. Several genes have been shown to be recurrently mutated, including TP53, CTNNB1, MEN1, PRKAR1A, RPL22, and DAXX. The telomerase gene TERT is often amplified while ZNRF3 and CDKN2A are often homozygously deleted. The genes h19, insulin-like growth factor II (IGF-II), and p57kip2 are important for fetal growth and development. They are located on chromosome 11p. Expression of the h19 gene is markedly reduced in both nonfunctioning and functioning adrenal cortical carcinomas, especially in tumors producing cortisol and aldosterone. Also, a loss occurs of activity of the p57kip2 gene product in virilizing adenomas and adrenal cortical carcinomas. In contrast, IGF-II gene expression has been shown to be high in adrenal cortical carcinomas. Finally, c-myc gene expression is relatively high in neoplasms, and it is often linked to poor prognosis. Bilateral adrenocortical tumors are less common than unilateral. The majority of bilateral tumours can be distinguished according to size and aspect of the nodules: primary pigmented nodular adrenocortical disease, which can be sporadic or part of Carney complex, and primary bilateral macro nodular adrenal hyperplasia.Metastasis is most commonly to the liver and lung.
AlphaFold's predicted structures are widely used in biological research, though the precise scale of that use is difficult to measure. More than 40% of protein-structure papers published in 2023 in Cell, Nature, and Science cited AlphaFold 2. A 2024 bibliometric analysis of the Web of Science database identified 1,680 peer-reviewed papers referencing AlphaFold published between January 2019 and May 2024. Measures of this kind rely on authors citing the AlphaFold papers when they use the tool, a convention encouraged but not enforced by the maintainers of the AlphaFold Protein Structure Database. Attempts to validate these counts against the full text of papers suggest that citations to foundational AlphaFold papers can both overstate and understate how widely the tool is used. In an analysis of about 8,900 papers in the PubMed Central Open Access corpus that mentioned AlphaFold, roughly 30% cited none of three foundational AlphaFold papers, while only about half of the papers citing at least one of those three mentioned AlphaFold anywhere in their text. A smaller manual check of 100 papers from a curated protein-literature database found a similar shortfall, with fewer than half of those mentioning AlphaFold including a formal citation.
Aerosol mass spectrometry is the application of mass spectrometry to the analysis of the composition of aerosol particles. Aerosol particles are defined as solid and liquid particles suspended in a gas (air), with size range of 3 nm to 100 μm in diameter and are produced from natural and anthropogenic sources, through a variety of different processes that include wind-blown suspension and combustion of fossil fuels and biomass. Analysis of these particles is important owing to their major impacts on global climate change, visibility, regional air pollution and human health. Aerosols are very complex in structure, can contain thousands of different chemical compounds within a single particle, and need to be analysed for both size and chemical composition, in real-time or off-line applications. Off-line mass spectrometry is performed on collected particles, while on-line mass spectrometry is performed on particles introduced in real time.
Peptide aptamers consist of one or more peptide loops of variable sequence displayed by a protein scaffold. Derivatives known as tadpoles, in which peptide aptamer "heads" are covalently linked to unique sequence double-stranded DNA "tails", allow quantification of scarce target molecules in mixtures by PCR (using, for example, the quantitative real-time polymerase chain reaction) of their DNA tails. The peptides that form the aptamer variable regions are synthesized as part of the same polypeptide chain as the scaffold and are constrained at their N and C termini by linkage to it. This double structural constraint decreases the diversity of the 3D structures that the variable regions can adopt, and this reduction in structural diversity lowers the entropic cost of molecular binding when interaction with the target causes the variable regions to adopt a uniform structure.
Sources: en.wikipedia.org
A 15-hydroxyicosatetraenoate dehydrogenase metabolizes 15-hydroxyicosatetraenoic acid (i.e. 15(S)-hydroxy-5Z,8Z,11Z,13E-eicosatetraenoic acid or 15-HETE) to its 15-keto analog, 15-oxo-ETE, using NAD+ and NADH rather than NADP+ and NADPH as its co-factors. 15-Oxo-ETE appears to have a somewhat different spectrum of activities than its precursor, 15-HETE (see 15-Hydroxyicosatetraenoic acid
CYB5R1, NADH-cytochrome b5 reductase 1, located on chromosome 1q32.1 with 9 exons that encode for c5br. CYB5R2, NADH-cytochrome b5 reductase 2, located on chromosome 11p15.4 with 12 exons that encode for c5br. CYB5R3, NADH-cytochrome b5 reductase 3, located on chromosome 22q13.2 with 12 exons that encode for c5br. CYB5R4, NADH-cytochrome b5 reductase 4, located on chromosome 6q14.2 with 16 exons that encode for c5br. Mutations in cytochrome b5 reductase can lead to many disorders, including autosomal recessive congenital methemoglobinemia. There are over 65 mutations of the enzyme that can lead to various types of the disorder. Some include:
5-HEDH is an NADPH dehydrogenase oxidoreductase enzyme. It transfers a hydrogen cation (or hydron) H+ from 5(S)-hydroxy (i.e. 5(S)-OH) residues of its fatty acid targets to nicotinamide adenine dinucleotide phosphate+ (NADP+) to form 5-oxo (i.e. 5-O=) counterparts of its targets plus reduced NADP+, i.e. NADPH. The reaction (where R indicates a long chain [14 or more carbons] fatty acid) is: NADP+ + 5(S)-hydroxy fatty acid (i.e. 5(S)-OH-R) ⇌ {\displaystyle \rightleftharpoons } NADPH + H+ + oxo fatty acid (i.e. 5-O=R) The reaction appears to follow a ping-pong mechanism. It is fully reversible, readily converting 5-oxo targets to their corresponding 5(S)-hydroxy counterparts. The direction of this reaction is dependent on the level of NADP+ relative to that of NADPH: The immediate metabolic precursor to 5(S)-HETE, 5(S)-hydroperoxy-6S,8Z,11Z,14Z-eicosatetraenoic acid 5(S)-HpETE, can be converted to 5-oxo-ETE in a non-enzymatic dehydration reaction or chemical lipid peroxidation reactions. The physiological occurrence and relevancy of these reaction pathways has not been ascertained.
Aerotolerant anaerobes use fermentation to produce ATP. They do not use oxygen, but they can protect themselves from reactive oxygen molecules. In contrast, obligate anaerobes can be harmed by reactive oxygen molecules. There are three categories of anaerobes. Where obligate aerobes require oxygen to grow, obligate anaerobes are damaged by oxygen, aerotolerant organisms cannot use oxygen but tolerate its presence, and facultative anaerobes use oxygen if it is present but can grow without it. Most aerotolerant anaerobes have superoxide dismutase and (non-catalase) peroxidase but do not have catalase. More specifically, they may use a NADH oxidase/NADH peroxidase (NOX/NPR) system or a glutathione peroxidase system. An example of an aerotolerant anaerobe is Cutibacterium acnes.
Sources: en.wikipedia.org
Method validation is the documented process of showing that an HPLC procedure produces reliable results for a defined purpose. It examines parameters such as accuracy, precision, specificity, linearity, and robustness. Regulators and quality systems often require validation before routine use.
System suitability is a set of checks run on the chromatographic system before sample analysis. It confirms that resolution, peak shape, retention time, and response meet predefined limits. Failure can invalidate the run and trigger corrective action.
Blank injections reveal peaks or baseline disturbances that come from solvents, reagents, or the instrument rather than the sample. They help distinguish contamination from actual analyte signals. Comparing blanks with sample runs supports accurate interpretation.
Method validation is the documented process of confirming that an HPLC procedure is suitable for its intended use. It evaluates accuracy, precision, specificity, linearity, range, detection limits, and robustness. Validation criteria depend on the regulatory context and the sample type.