Quality control raises a handful of sensible questions. This page answers them in order, starting with the fundamentals and moving to applications.
Reviewed 2026-04-06. Anything still debated is marked as such rather than presented as settled.
Laboratories apply HPLC testing across pharmaceutical, food, environmental, and industrial chemistry. The method can measure active ingredients, impurities, additives, preservatives, and degradation products. Sample preparation often includes dilution, filtration, and sometimes extraction or derivatization. The choice of column, mobile phase, pH, temperature, and detector depends on the analytes and matrix. Results are compared with reference standards to assign identity and concentration. Method suitability is judged by resolution, precision, and accuracy.
HPLC testing is not a single fixed procedure; it is a family of separation modes. Reversed-phase, normal-phase, ion-exchange, size-exclusion, and affinity chromatography each suit different analyte properties. Reversed-phase methods dominate because they handle many neutral and moderately polar compounds. Detection can be optical, electrochemical, or mass spectrometric, and the detector dictates what information is available. Coupling with mass spectrometry increases selectivity and enables identification when standards are unavailable. The technique cannot separate every mixture without adjustment.
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.
High-performance liquid chromatography is an analytical technique that separates components of a liquid sample by passing it 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 interaction with the stationary phase cause analytes to migrate at different rates. Detectors record elution as peaks, and a data system converts signals into a chromatogram. The method is suited to compounds that dissolve in a liquid and are not volatile enough for gas chromatography.
| Property | Value | Notes |
|---|---|---|
| Abbreviation | HPLC | Also called high-performance liquid chromatography |
| Separation mechanism | Differential partitioning | Compounds distribute between mobile and stationary phases |
| Typical column chemistry | C18 (octadecylsilane) | Used in reversed-phase separations |
| Typical detector | UV-Vis or photodiode array | Mass spectrometry is common for trace and confirmatory work |
| Typical particle size | 1.8–5 µm | Smaller particles require higher pressure and can improve speed |
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.
Regulatory and pharmacopeial texts shape how HPLC testing is performed and documented. The International Council for Harmonisation provides validation guidance, while pharmacopeias publish general chromatography chapters and monographs for specific materials. Accreditation standards such as ISO/IEC 17025 address laboratory competence and traceability. Inspectors may review instrument qualification, analyst training, reference material control, and electronic records. Open questions include how best to validate methods for new complex products and how to handle automated data processing. Laboratories generally resolve these issues through risk assessment, method lifecycle management, and documented scientific justification.
In quality control laboratories, HPLC testing supports batch release, raw material checks, stability studies, and impurity profiling. A validated method defines sample preparation, instrument settings, calibration, and acceptance criteria. Analysts compare results with specifications and investigate out-of-specification outcomes before a batch is approved. Documentation includes chromatograms, integration records, audit trails, and reagent details. Because results influence product decisions, laboratories follow formal quality systems and data integrity rules. The exact tests and limits depend on the material, its intended use, and the applicable regulatory framework.
Method validation examines whether an HPLC procedure is suitable for its intended purpose. Common parameters include accuracy, precision, specificity, linearity, range, detection limit, quantification limit, and robustness. Accuracy describes closeness to a true or accepted value, while precision describes agreement among repeated measurements. Specificity shows whether the method can measure the analyte without interference from related substances. Robustness tests small deliberate changes in flow, temperature, or solvent composition. Validation is not a one-time event; methods may need partial revalidation after changes to instruments, columns, sample handling, or specification limits. Regulatory guidance provides frameworks, but some details remain method-specific.
Separation modes differ by the chemistry of the stationary phase and the composition of the mobile phase. Reversed-phase testing uses a nonpolar column and polar solvents, making it common for pharmaceutical, environmental, and food analytes. Normal-phase testing uses a polar column and nonpolar solvents for compounds that are poorly retained in reversed-phase systems. Ion-exchange and ion-pair methods separate charged species, while size-exclusion methods sort molecules by hydrodynamic volume. Gradient elution changes solvent strength over time to resolve complex mixtures, and isocratic elution holds solvent composition constant for simpler assays.
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.
The overall fold of Acutolysin A is composed of a twisted β-sheet core flanked by α-helices, forming the characteristic metzincin architecture. Central to this fold is the conserved “Met-turn”, a methionine-containing structural motif that stabilizes the active-site configuration. The three disulfide bonds in AaH I (Cys117–Cys197, Cys159–Cys181, and Cys157–Cys164) are strategically positioned to maintain this fold under physiological conditions and to resist thermal or proteolytic degradation. These disulfide linkages play a crucial role in preserving the shape of the catalytic cleft, ensuring maximal enzymatic activity even in harsh extracellular environments. At the active site is the HELGHNLGLH metalloproteinase motif, which binds a catalytic zinc ion in a tetrahedral geometry. Three histidine residues coordinate the zinc atom, while the fourth ligand is either a water molecule or hydroxide ion, which acts as the nucleophile in peptide bond hydrolysis. The active-site cleft forms a deep groove that accommodates collagen and laminin fibers, aligning them precisely for cleavage. This structural arrangement explains the exceptional potency of AaH I in degrading basement membranes.
Aldo Carl Leopold (December 18, 1919 – November 18, 2009) was an American academic and plant physiologist, son of Aldo Leopold, a noted ecologist. He is known for his research on soybeans which led to techniques allowing insulin to be dried and later processed into an inhalable insulin. Aldo Carl Leopold was born to Aldo Leopold, a noted ecologist and employee of the United States Forest Service, and Estella Leopold in Albuquerque, New Mexico as the 4th of 5 children.
A number of AlphaFold clones have also been published, mostly with permissive license terms. Clones for AlphaFold3 include ByteDance's Protenix (Apache 2.0 License), AlQuraishi Laboratory's OpenFold-3 (MIT license), and Boltz-1/2 (MIT license). There are also clones for older versions, though they became less relevant with the open-source release of AlphaFold 1 and 2 source codes. Still relevant are models, both open- and closed-source, that include modifications to the AlphaFold architecture. For AlphaFold 2, a notable example is ESMFold from Meta, which replaces the multiple sequence alignment with the latent space of a protein language model. Open-source tools that complement AlphaFold have also been made. One well-cited example is ColabFold, which uses MMseqs2 instead of HHblits to speed up the sequence search, allowing the AlphaFold pipelines to run quickly on Google Colab.
Alkaline lysis is often an initial step in molecular biology experiments, allowing specific DNA molecules to be extracted and purified so that it can subsequently be used in downstream applications. When performed properly, alkaline lysis yields pure DNA exclusively from bacterial plasmids. A plasmid is a small circular DNA molecule that is found naturally in certain cell types, most commonly bacterial cells, and replicates independently of the cell's chromosomal or genomic DNA. Plasmids can also be found less commonly in archaeal and eukaryotic cells. They often contain genetic information useful to the host cell, such as genes that confer antibiotic resistance or virulence factors. Plasmids are readily uptaken by bacterial cells from the environment and can be passed between cells by various forms of horizontal transmission such as transduction, transformation, and conjugation, as well as by vertical transmission from parent to offspring. Because of their versatility and relatively simple manipulation, plasmids are of interest to scientists and have become a standardized laboratory tool by which recombinant DNA is artificially introduced into cells and genomes. The basic process of alkaline lysis involves a series of steps which can be performed in the laboratory:
The first definition of the term bioinformatics was coined by Paulien Hogeweg and Ben Hesper in 1970, to refer to the study of information processes in biotic systems. This definition placed bioinformatics as a field parallel to biochemistry (the study of chemical processes in biological systems). Bioinformatics and computational biology involved the analysis of biological data, particularly DNA, RNA, and protein sequences. The field of bioinformatics experienced explosive growth starting in the mid-1990s, driven largely by the Human Genome Project and by rapid advances in DNA sequencing technology. Analyzing biological data to produce meaningful information involves writing and running software programs that use algorithms from graph theory, artificial intelligence, soft computing, data mining, image processing, and computer simulation. The algorithms in turn depend on theoretical foundations such as discrete mathematics, control theory, system theory, information theory, and statistics.
Sources: en.wikipedia.org
Depending on the column size, CIM monolithic columns are primarily used for the purification or analysis of large biomolecules which are being used for cancer gene therapy, treatment of viral infectious diseases and treatment of genetic diseases. Some types of molecules that can be successfully purified using CIM columns are pDNA, IgM, inter-alpha inhibitors, virus like particles, and diverse viruses; adenoviruses, bacteriophages, feline calicivirus, hepatitis A, lentivirus, influenza A and B, rabies virus, rotavirus, tomato and pepino mosaic virus. Since 2004, BIA Separations has organized and hosted the Monolith Summer School and Symposium (MSS) which takes place every 2 years. MSS was established as there were no dedicated conferences to this technology and to bring together the top international scientists and researchers in the area of monolith chromatography to share their experiences and innovative applications. BIA Separations home page Monolith Events
F-ATPase gene linkage and gene order are widely conserved across ancient prokaryote lineages, implying that this system already existed at a date before the last universal common ancestor, the LUCA. Nick Lane: The Vital Question: Energy, Evolution, and the Origins of Complex Life, Ww Norton, 2015-07-20, ISBN 978-0393088816 (Link points to Figure 10 showing model of ATP synthase) Boris A. Feniouk: "ATP synthase — a splendid molecular machine" Well illustrated ATP synthase lecture Archived 2008-12-02 at the Wayback Machine by Antony Crofts of the University of Illinois at Urbana–Champaign. Proton and Sodium translocating F-type, V-type and A-type ATPases in OPM database The Nobel Prize in Chemistry 1997 to Paul D. Boyer and John E. Walker for the enzymatic mechanism of synthesis of ATP; and to Jens C. Skou, for discovery of an ion-transporting enzyme, Na+, K+-ATPase. Harvard Multimedia Production Site — Videos – ATP synthesis animation David Goodsell: "ATP Synthase- Molecule of the Month" Archived 2015-09-05 at the Wayback Machine
With ring-opening polymerization, automated synthesis has been used for rapid screening and optimization, including with catalyst + initiator systems and their polymerization conditions. For example, Hoogenboom et al. determined the optimal temperature for the polymerization of 2-ethyl-2-oxazoline in dimethylacetamide (DMAc), allowing for individual heating of the parallel reactors, which shortened the time needed for preparation and analysis. To aid with the catalyst research for polyolefins, Symyx Technologies Inc. used automated synthesis to create a library of palladium and nickel catalysts, which were screened for ethylene polymerization. This process found that the largest polyethylene polymers were created by the complexes with the highest steric hindrance for the ortho-positions of the aryl rings, while electronic factors did not influence yield or molecular weight. In addition, Tuchbreiter and Mülhaupt used automated synthesis to demonstrate the improvements of minireactors for the polymerization of olefins, with quality improving as compared to utilizing simple arrays.
John J. Abel Award Julius Axelrod Award Pharmacia-ASPET Award in Experimental Therapeutics Robert R. Ruffolo Career Achievement Award Travel Award for Pharmacology Educators Bernard B. Brodie Award in Drug Metabolism P.B. Dews Lifetime Achievement Award for Research in Behavioral Pharmacology Drug Metabolism Early Career Achievement Award Goodman and Gilman Award in Receptor Pharmacology Benedict R. Lucchesi Distinguished Lectureship in Cardiac Pharmacology Torald Sollmann Award in Pharmacology Paul M. Vanhoutte Distinguished Lectureship in Cardiovascular Pharmacology Travel awards to participate in its meetings are also given to students and postdocs. Chemotherapy Clinical pharmacology Drug metabolism Neuropharmacology Pharmacology Toxicology Official website Molecular Interventions magazine
ATAC-seq (Assay for Transposase-Accessible Chromatin using sequencing) is a laboratory technique used in molecular biology to assess genome-wide chromatin accessibility. The technique was introduced in 2013 by the labs of Will Greenleaf and Howard Chang at Stanford University as an alternative to MNase-seq, FAIRE-Seq and DNase-Seq with faster turnaround time, simpler protocol, and lower DNA input requirements.
Sources: en.wikipedia.org
It measures the presence and amount of one or more compounds in a liquid sample. Separation occurs in a column, and detection produces a signal proportional to concentration. Identification usually requires comparison with a known reference standard under the same conditions.
In most cases the sample is consumed or altered during analysis, though some detectors are non-destructive. Fractions can be collected after separation for further study. Repeated testing therefore requires additional sample.
Run times range from under a minute for fast methods to over an hour for complex separations. Sample preparation, equilibration, and data review add time. Throughput depends on instrument configuration and method requirements.
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.