The short version of retention time fits in a sentence. The long version — which is the one that helps — is below.
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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.
Reversed-phase chromatography dominates modern HPLC testing, using a nonpolar stationary phase such as chemically bonded octadecyl groups and a polar mobile phase of water mixed with organic solvent. Analytes partition between the mobile and stationary phases according to hydrophobicity. Gradient elution changes the mobile phase composition over time to separate compounds with a wide range of retention. Isocratic elution keeps the composition constant and is simpler for routine assays. Column temperature, pH, and flow rate influence selectivity, peak shape, and retention time, so these parameters are controlled during a validated method.
Detection in HPLC testing commonly relies on ultraviolet-visible absorbance, fluorescence, refractive index, or mass spectrometry. A diode array detector records full spectra across a wavelength range, which helps identify co-eluting peaks. Mass spectrometry provides mass-to-charge ratios and can confirm molecular identity at low concentrations. The choice of detector depends on analyte structure, required sensitivity, and whether quantitation or identification is the goal. No single detector works for every compound, and method development often compares responses before selecting one.
| 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. |
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.
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.
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.
Key performance measures include retention time, peak area, peak height, resolution, tailing factor, and plate count. Retention time helps identify a peak under fixed conditions, but confirmation often requires a second method or detector. Peak area and height relate to concentration through calibration curves, which may be linear or nonlinear depending on the detector response. Resolution describes separation between adjacent peaks, while tailing factor and plate count describe peak shape and column efficiency. Performance checks verify these values before and during a run to confirm that the instrument is performing within limits.
High-performance liquid chromatography testing separates components of a liquid sample by forcing a mobile phase through a packed column. The stationary phase inside the column interacts with analytes to different degrees, so each compound exits at a characteristic retention time. A pump delivers solvent at controlled flow and pressure, while an injector introduces a precise sample volume. Detectors such as ultraviolet-visible, fluorescence, refractive index, or mass spectrometric instruments record the separated bands. The resulting chromatogram provides qualitative and quantitative information about the mixture.
Databases are essential for bioinformatics research and applications. Databases exist for many different information types, including DNA and protein sequences, molecular structures, phenotypes and biodiversity. Databases can contain both empirical data (obtained directly from experiments) and predicted data (obtained from analysis of existing data). They may be specific to a particular organism, pathway or molecule of interest. Alternatively, they can incorporate data compiled from multiple other databases. Databases can have different formats, access mechanisms, and be public or private. Some of the most commonly used databases are listed below: Used in biological sequence analysis: Genbank, UniProt Used in structure analysis: Protein Data Bank (PDB) Used in finding Protein Families and Motif Finding: InterPro, Pfam Used for Next Generation Sequencing: Sequence Read Archive Used in Network Analysis: Metabolic Pathway Databases (KEGG, BioCyc), Interaction Analysis Databases, Functional Networks Used in design of synthetic genetic circuits: GenoCAD
As anti-angiogenic cancer therapies have achieved widespread use, there has been increased interest in non-invasive monitoring of angiogenesis. One of the most extensively examined targets of angiogenesis is integrin αVβ3. Radiolabeled peptides containing RGD show high affinity and selectivity for integrin αVβ3 and are being investigated as tools to monitor treatment response of tumors via PET imaging. These include 18F-Galacto-RGD, 18F-Fluciclatide-RGD, 18F-RGD-K5, 68Ga-NOTA-RGD, 68Ga-NOTA-PRGD2, 18F-Alfatide, 18F-Alfatide II, and 18F-FPPRGD2. In a meta-analysis of studies using PET/CT in patients with cancer, it was shown that this diagnostic method may be very useful for detecting malignancies and predicting short-term outcomes, although larger-scale studies are needed.
Aspartic acid was first discovered in 1827 by Auguste-Arthur Plisson and Étienne-Ossian Henry by hydrolysis of asparagine, which had been isolated from asparagus juice in 1806. Their original method used lead hydroxide, but various other acids or bases are now more commonly used instead. There are two forms or enantiomers of aspartic acid. The name "aspartic acid" can refer to either enantiomer or a mixture of two. Of these two forms, only one, "L-aspartic acid", is directly incorporated into proteins. The biological roles of its counterpart, "D-aspartic acid" are more limited. Where enzymatic synthesis will produce one or the other, most chemical syntheses will produce both forms, "DL-aspartic acid", known as a racemic mixture. In the human body, aspartate is most frequently synthesized through the transamination of oxaloacetate. The biosynthesis of aspartate is facilitated by an aminotransferase enzyme: the transfer of an amine group from another molecule such as alanine or glutamine yields aspartate and an alpha-keto acid.
Anne S. Ulrich (born December 31, 1966) is a German chemist. She is the director of the Institute of Biological Interfaces (IBG-2) and Chair of Biochemistry at the Karlsruhe Institute of Technology. She studied chemistry at the University of Oxford - continued her doctoral work in the laboratory of Anthony Watts - held subsequent research positions as an EMBO-Fellow with Hartmut Oschkinat at the European Molecular Biology Laboratory in Heidelberg and as a Liebig-Fellow with Felix Wieland at the University of Heidelberg - became Associate Professor at the University of Jena - until she moved her group in 2002 to the Karlsruhe Institute of Technology. Her research focuses on the structural and functional analysis of biomembranes by solid state NMR. The main systems of interest are:
Sources: en.wikipedia.org
A disintegrin and metalloproteinase with thrombospondin motifs 7 (ADAMTS7) is an enzyme that in humans is encoded by the ADAMTS7 gene on chromosome 15. It is ubiquitously expressed in many tissues and cell types. This enzyme was historically reported to catalyze the degradation of cartilage oligomeric matrix protein (COMP), though subsequent studies using purified proteins and unbiased mass spectrometry found that ADAMTS7 does not cleave COMP. ADAMTS7 has been associated with cancer and arthritis in multiple tissue types. The ADAMTS7 gene is a well-established genetic susceptibility locus for coronary artery disease. The ADAMTS7 gene resides on chromosome 15 at the band 15q24.2 and contains 25 exons.
thio-phosphorylated derivatives of resorcinols and calixarenes; studying thio-phosphorylated unsaturated compounds using petrochemical and wood-chemical feedstock; generation and theoretical study of phosphabetains and their derivatives (phosphonium salts, carboxyl-containing metal complexes); searching for liquid growth-boosting fertilizer compounds based on microelements. The following majors are currently offered to students: 04.03.01 Chemistry, Bachelor's degree program; 04.05.01 Fundamental and Applied Chemistry, Specialist Degree program; 04.04.01 Chemistry, Master's degree program; 44.03.01 Pedagogical Education, Bachelor's degree program. The following master's degree programs are offered by the Institute in the academic year 2015–2016:
ASQ provides its members with certification, training, publications, conferences, and other services. ASQ is a founding partner of the American Customer Satisfaction Index (ACSI), a quarterly economic indicator. Since 1989, ASQ has administered the annual Malcolm Baldrige National Quality Award. The ASQ also gives the Dorian Shainin Medal, which is awarded annually for the "Development and Application of Creative or Unique Statistical Approaches in the Solving of Problems Relative to the Quality of Product or Service".
Although most yeasts have only a single actin gene, higher eukaryotes, in general, express several isoforms of actin encoded by a family of related genes. Mammals have at least six actin isoforms coded by separate genes, which are divided into three classes – alpha, beta, and gamma – according to their isoelectric points. In general, alpha actins are found in muscle (α-skeletal, α-aortic smooth, α-cardiac), whereas beta and gamma isoforms are prominent in non-muscle cells (β-cytoplasmic, γ1-cytoplasmic, γ2-enteric smooth). Although the amino acid sequences and in vitro properties of the isoforms are highly similar, these isoforms cannot completely substitute for one another in vivo. Plants contains more than 60 actin genes and pseudogenes. The typical actin gene has an approximately 100-nucleotide 5' UTR, a 1200-nucleotide translated region, and a 200-nucleotide 3' UTR. The majority of actin genes are interrupted by introns, with up to six introns in any of 19 well-characterised locations. The high conservation of the family makes actin the favoured model for studies comparing the introns-early and introns-late models of intron evolution.
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
January 19 – March 25: 2018 FIBA Americas League San Lorenzo defeated Mogi das Cruzes, 79–71, to win their first FIBA Americas League title. Regatas Corrientes took third place. June 11 – 16: 2018 FIBA Under-18 Americas Championship in St. Catharines The United States defeated Canada, 113–74, to win their fifth consecutive and ninth overall FIBA Under-18 Americas Championship title. Argentina took third place. August 1 – 7: 2018 FIBA Under-18 Women's Americas Championship in Mexico City The United States defeated Canada, 84–60, to win their ninth consecutive and tenth overall FIBA Under-18 Women's Americas Championship title. Argentina took third place.
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.
The society publishes three research journals and a review journal: the Journal of Pharmacology and Experimental Therapeutics, Drug Metabolism and Disposition, Molecular Pharmacology, and Pharmacological Reviews Starting in 2012 these publications are only offered online. The society copublishes a wholly open access journal with the British Pharmacological Society and Wiley entitled Pharmacology Research & Perspectives. ASPET also publishes a quarterly newsletter, The Pharmacologist, and, from 2001 to 2011, Molecular Interventions magazine. The society gives out several awards:
The beta sheet (β-sheet, also β-pleated sheet) is a common motif of the regular protein secondary structure. Beta sheets consist of beta strands (β-strands) connected laterally by at least two or three backbone hydrogen bonds, forming a generally twisted, pleated sheet. A β-strand is a stretch of polypeptide chain typically 3 to 10 amino acids long with backbone in an extended conformation. The supramolecular association of β-sheets has been implicated in the formation of the fibrils and protein aggregates observed in amyloidosis, Alzheimer's disease and other proteinopathies.
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.
HPLC testing separates and quantifies components in a liquid sample. It is used to check identity, purity, concentration, or stability. The technique works best for compounds that dissolve and are not easily vaporized.