The short version of Quality control fits in a sentence. The long version — which is the one that helps — is below.
This page was last updated on 2025-11-06 and is reviewed periodically as new material appears.
Method validation establishes that an HPLC procedure is suitable for its intended use. Key parameters include accuracy, precision, specificity, linearity, range, limit of detection, limit of quantitation, and robustness. Accuracy measures agreement with a true or accepted value, while precision describes repeatability and intermediate precision. Specificity confirms that the method measures the analyte without interference from impurities, degradants, or excipients. Validation is documented in a protocol and report, and acceptance criteria are set before experiments begin. Regulatory guidance varies by region, but the general principles are widely harmonized.
System suitability testing is performed before and during analytical runs to confirm that the instrument and method are working as expected. Common checks include retention time, peak area, resolution between critical pairs, tailing factor, and theoretical plate count. Results are compared with predefined limits, and a failed check requires investigation before sample results are reported. Quality control samples at low, middle, and high concentrations are injected at intervals to monitor accuracy and precision. Blank injections detect carryover and contamination, while control charts track performance over time.
Data handling and documentation are central to HPLC quality control. Electronic systems should have audit trails that record changes to methods, sequences, and results. Integration parameters, such as peak baseline and threshold, can affect reported areas and must be defined in advance. Out-of-specification results trigger a structured investigation that may include reanalysis, instrument checks, and review of sample preparation. Regulatory inspections often examine raw data, audit trails, and training records to verify that reported results are traceable and reliable.
Method validation establishes that an HPLC procedure is suitable for its intended purpose. Typical parameters include accuracy, precision, specificity, linearity, range, limit of detection, limit of quantitation, robustness, and solution stability. Accuracy reflects closeness to a reference value, while precision reflects agreement among repeated measurements. Specificity shows whether the method can measure the analyte without interference from matrix components. Validation is documented through protocols and reports, and the required extent depends on the method's use and regulatory context.
Routine quality control uses system suitability, blank injections, check standards, and control samples to detect drift or contamination. System suitability criteria may specify minimum resolution, maximum tailing factor, and a permitted range for repeated injections. Blank injections reveal carryover or solvent contamination, while check standards confirm calibration accuracy over a batch. Control samples with known analyte levels can show whether results remain within statistical limits. When a control result falls outside limits, the analyst investigates the cause and may invalidate affected results before repeating the batch.
| Property | Value | Notes |
|---|---|---|
| Validation parameter | Accuracy | Measured value compared with true or accepted value |
| Precision type | Repeatability | Same analyst, instrument, and short time interval |
| Linearity range | 50–150% of target concentration | Common for assay methods; method-dependent |
| Limit of quantitation | Signal-to-noise ratio of 10:1 | Lowest concentration with acceptable precision |
| Common synonyms | Method validation, analytical validation | Documented confirmation that a method is suitable |
High-performance liquid chromatography, or HPLC, separates dissolved compounds by passing a liquid mobile phase through a packed column. Components distribute differently between the stationary phase and the moving liquid, so they travel at different speeds and exit at different times. A detector records these eluting bands as peaks, and peak area or height relates to amount. The technique supports testing in pharmaceuticals, foods, environmental samples, and industrial chemicals. Quantification usually depends on calibration with known standards.
Several separation modes exist, including reversed-phase, normal-phase, ion-exchange, size-exclusion, and hydrophilic interaction liquid chromatography. Reversed-phase uses a nonpolar stationary phase with a polar mobile phase and is widely applied to small organic molecules. Gradient elution changes mobile phase composition during the run, while isocratic elution keeps it constant. Column chemistry, particle size, temperature, flow rate, and mobile phase pH all influence retention and resolution. Method development selects conditions that separate analytes from matrix components and from each other.
Validation establishes that a method is suitable for its intended purpose. Typical parameters include accuracy, precision, specificity, linearity, range, limit of detection, limit of quantification, robustness, and stability of standards and samples. Acceptance criteria are defined in advance, and results are documented in a validation report. Regulatory guidance for pharmaceuticals, foods, and environmental testing differs, so the applicable framework must be identified. Ongoing verification uses control samples and trend charts after validation. Method transfer to another laboratory may require partial revalidation.
Routine quality control includes blanks, duplicates, spiked samples, and certified reference materials. Calibration curves are prepared with standards at several concentrations, and the detector response is checked for linearity. Carryover, column aging, mobile phase evaporation, and temperature drift can shift retention times or peak areas. Maintenance such as replacing seals, filters, and columns helps prevent failures. Records of injections, integration, and deviations support traceability. Audits may request raw data and instrument logs for each batch.
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.
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.
The manifestation of apical dominance differs significantly between plant groups due to the positioning of their growing points (meristems): Broadleaf plants: The apical meristem is located at the shoot tip, elevated above the ground. Apical dominance is exerted downward, inhibiting axillary buds along the stem. Removing the apex (pruning) releases these buds, resulting in lateral branching and a bushier shape. Grasses: During vegetative growth, the primary apical meristem remains at or near the soil surface in a region called the crown. Growth occurs via intercalary meristems at the base of the leaves. Apical dominance in grasses primarily regulates tillering—the production of new shoots from basal buds. Because the meristem is protected at ground level, grasses can be mown or grazed without destroying the primary growing point, allowing them to recover more quickly than most broadleaf species. Plant physiologists have identified four different stages the plant goes through after the apex is removed (Stages I-IV). The four stages are referred to as:
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.
c7orf26 interacts uniquely with 11 different proteins, according to the Mentha interactome browser. In particular, c7orf26 interacts with the entire family of 'INTS' (Integrator Complex Subunit 1–7). The Integrator Complex associates with the C-terminal domain of RNA polymerase II large subunit. It is involved in the transcription and processing of their transcripts. INTS mediates recruitment of cytoplasmic dynein to the nuclear envelope. Outside of the INTS gene family, c7orf26 interacts with AK5, HDGF, and ASUN. According to Guirato et al. (2018), there may be some evidence that regions on chromosome 7 may be directly linked to a nuclear estrogen receptor (ESR2) that modulates cancer cell proliferation and tumor growth. In another journal article by Fu et al. (2014), there is further indication that regions along chromosome 7, located between open reading frames 20-30, directly correlate to cellular functions of a hepatoma-derived growth factor (HDGF), another way of expressing normal function in tumorigenesis.
Sources: en.wikipedia.org
Outer membrane proteins are membrane proteins with key roles associated with bacterial cell structure and morphology; cell membrane homeostasis; the uptake of nutrients; protection of the cell from toxins including antibiotics; and virulence factors including adhesins, exotoxins, and biofilm formation. There are a number of outer membrane proteins that are specifically virulence-related. Outer membrane proteins consist of two major classes of protein - transmembrane proteins and lipoproteins. The transmembrane proteins form channels or pores in the membrane called porins, and actively pumping efflux channels. The outer membranes of a bacterium can contain a huge number of proteins. In E. Coli for example there are around 500,000 in the membrane. Bacterial outer membrane proteins typically have a unique beta barrel structure that spans the membrane. The beta barrels fold to expose a hydrophobic surface before their insertion into the outer membrane. Beta barrels vary in sequence and size that ranges from 8 to 36 beta strands. A subset of OMPs have a perisplasmic or an extracellular link to their beta barrel structure. An outer membrane protein is translocated across the inner membrane through Sec machinery, and finally inserted to the outer membrane by the barrel assembly machinery complex.
Osmotic stress is defined as difficulty maintaining proper fluids in the cell within a hypertonic or hypotonic environment. MAAs accumulate within a cell's cytoplasm and contribute to the osmotic pressure within a cell, thus relieving pressure from salt stress in a hypertonic environment. As evidence of this, MAAs are seldom found in large quantities in cyanobacteria living in freshwater environments. However, in saline and hypertonic environments, cyanobacteria often contain high concentrations of MAAs. The same phenomenon was noted for some halotolerant fungi. But, the concentration of MAAs within cyanobacteria living in hyper-saline environments is far from the amount required to balance the salinity. Therefore, additional osmotic solutes must be present as well.
Alza Corporation was an American pharmaceutical and medical systems company. Founded in 1968 by Dr. Alejandro Zaffaroni; the company's name is a portmanteau of his name. Alza was a major pioneer in the field of drug delivery systems, bringing over 20 prescription pharmaceutical products to market, and employing about 10,000 people during 20 years. In 2001, Alza was acquired by Johnson & Johnson via a stock-for-stock transaction worth US$10.5 billion. The company owns the patents on the following delivery platforms: Alzamer Depot D-Trans DUROS implant E-Trans electrotransport OROS (Osmotic Release Oral System) Macroflux transdermal system Stealth liposomal
Sources: en.wikipedia.org
Chromosome 11 open reading frame 91, or C11orf91 is a protein which in humans is encoded by the C11orf91 gene. The C11orf91 gene consists of 5159 nucleotides with an mRNA of approximately 836 base pairs. There is one exon found in the C11orf91 gene. The cytogenetic band location of C11orf91 is 11p13 and is located on the minus strand of the DNA . Annotated depiction of the C11orf91 mRNA and amino acid protein sequences. The C11orf91 gene encodes a protein that is 193 amino acids in length. The C11orf91 protein contains a domain of unknown function, DUF5529, that spans nearly the entire protein. RBMX protein binding sites were found to be highly conserved in several structures of human C11orf91 3'UTR and 5' UTR. C11orf91 is rich in serine and proline and poor in valine and asparagine. There is a proline rich region found in the middle of the C11orf91. The human C11orf91 protein is approximately 20 kDal and has an isoelectric point around 9. Human C11orf91 protein is predicted to be localized in vesicles. C11orf91 has two helices located near the C-terminus and no beta sheets.
Control patterns describe how a perturbation to a given parameter affects the steady-state level of a given variable. For example, a concentration control coefficient can describe how the overexpression of a specific enzyme can influence steady-state metabolite concentrations. Flux control coefficients are similar in that they describe how a perturbation in a given enzyme affects steady-state flux through a pathway. Such coefficients can be written in terms of elasticity coefficients. Elasticity coefficients are local properties that describe how a single reaction is influenced by changes in the substrates and products that might influence the rate. For example, given a reaction such as: S ⟶ v P {\displaystyle S{\stackrel {v}{\longrightarrow }}P} we will assume it has a rate of reaction of v {\displaystyle v} . This reaction rate can be influenced by changes in the concentrations of substrate S {\displaystyle S} or product P {\displaystyle P} . This influence is measured by an elasticity which is defined as: ε s v = ∂ v ∂ s s v
pcALCL is the second most common lymphoma in the category of Cutaneous T cell lymphoma cutaneous T cell lymphomas that includes lymphomatoid papulosis, various borderline CD30-positive cutaneous T cell lymphomas, and mycosis fungoides. The median age at diagnosis for pcALC is 61 years. The disease has a male predominance and appears to be more common in Caucasian populations. Individuals with pcALCL typically present with reddish masses that initially appear in the skin or, much less frequently, the lymph nodes or various organs. These masses are nodules or tumors that are often ulcerated, greater than 2 cm in diameter, and localized to a single site. In 20% of cases, however, they occur in multiple sites. In about 10% cases followed for many years, pcALCL presenting as skin lesions progresses to extracutaneous sites, mainly to regional draining lymph nodes. Over these same long periods, however, the disease's lesions partially regress in about 50% of cases but then relapse in about 40% of cases.
A composite cross population (CCP) is created by crossing a number of plants from different lines, and subsequently bulking seeds from the resulting offspring. This makes a CCP a population of plants with a lot of inherent genetic diversity, in contrast to monocultures where all plants are clones and homozygous at all loci (fully inbred). In recent years CCPs have been proposed as a way to create modern landraces of wheat, barley and oats. Research is done to explore whether they are better suited for organic farming than the modern cultivars. They are suited for participatory breeding of crops, which is in contrast to cultivars owned by big breeding companies. The idea of using CCPs in plant breeding was published in 1956 based on the barley composite cross devised by Harry Harlan and Mary Martini in 1929. Yield data for 4 different populations for 8–28 years were presented in the article and after 8–15 years of repeated breeding under natural selection, the populations out-yielded the reference cultivar.
Sources: en.wikipedia.org
System suitability is a set of checks that confirm the instrument and method perform within limits before sample analysis. It typically includes resolution, tailing factor, retention time, and peak area reproducibility. If a check fails, the run is invalidated until the cause is resolved.
QC samples are usually injected at the beginning, at intervals during the run, and at the end. The exact frequency depends on the method, sample count, and regulatory requirements. Results outside acceptance limits can require rejection of the affected samples and investigation.
Method validation demonstrates that an HPLC procedure produces reliable results for its intended purpose. It provides documented evidence for accuracy, precision, specificity, and other performance characteristics. Regulators and quality systems require validation before a method is used for release or stability testing.
Validation establishes suitability for a new method, while verification confirms that a method works in a specific laboratory. Verification is often used when a validated method is adopted with existing equipment and staff. Both rely on documented acceptance criteria.