If you have been reading about mobile phase 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 2026-08-01. Where a claim depends on a specific study, the study is described rather than over-claimed.
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.
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.
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.
| Property | Value | Notes |
|---|---|---|
| Validation parameter | Accuracy | Closeness of measured value to accepted reference value |
| Validation parameter | Precision | Agreement among repeated measurements under specified conditions |
| System suitability check | Resolution ≥ 1.5 | Baseline separation between critical peak pair |
| System suitability check | Tailing factor ≤ 2.0 | Common target for peak symmetry |
| Documentation | Validation report | Summarizes experiments, acceptance criteria, and conclusions |
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.
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.
Routine HPLC testing compares a sample result with a calibration curve prepared from known reference standards. Peak area or peak height is plotted against concentration, and the curve is used to estimate unknown amounts. Retention time supports tentative identification when compared with a standard, though mass spectrometry or another confirmatory method may be needed for definitive identification. Pre-run checks verify repeatability, resolution, and peak symmetry before sample analysis. Limits of detection and quantification describe the smallest amounts that can be reliably observed or measured. Sample preparation, filtration, and degassing help prevent column damage and inconsistent results.
High-performance liquid chromatography is an analytical technique that separates components in a liquid sample. A pump moves a liquid mobile phase through a column packed with a solid stationary phase. Compounds interact differently with both phases and travel at different rates, leaving the column at distinct retention times. A detector records these arrivals as peaks on a chromatogram. The resulting pattern supports identification and quantification of substances in mixtures. Modern instruments use high pressure to force solvent through small particles, which improves speed and resolution compared with older low-pressure liquid chromatography methods.
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.
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.
Automated synthesis or automatic synthesis is a set of techniques that use robotic equipment to perform chemical synthesis using a robotic system run using software control. Automating processes allows for higher efficiency and product quality although automation technology can be cost-prohibitive and there are concerns regarding overdependence and job displacement. Chemical processes were automated throughout the 19th and 20th centuries, with major developments happening in the previous thirty years, as technology advanced. Tasks that are performed may include: synthesis in variety of different conditions, sample preparation, purification, and extractions. Applications of automated synthesis are found on research and industrial scales in a wide variety of fields including polymers, personal care, and radiosynthesis.
During the 2015 high school football season, Kuper was an offensive line coach at Columbine High School in Littleton, Colorado. On January 23, 2016, Kuper was hired by Miami Dolphins as offensive quality control coach. He then spent two seasons (2017–18) as the assistant offensive line coach for Miami. On January 22, 2019, the Denver Broncos hired Kuper as their assistant offensive line coach. With the firing of Vic Fangio from the Broncos, Kuper was hired by Kevin O'Connell to be the offensive line coach for the Minnesota Vikings. Before the 2026 season, his contract expired and the Vikings chose not to retain him. On February 9, 2026, the Philadelphia Eagles hired Kuper as their new offensive line coach. Eagles offensive coordinator Sean Mannion previously played for the Minnesota Vikings at the end of his playing career, during which Kuper served as the Vikings offensive line coach. UND Football bio Denver Broncos bio Kuper not letting broken right hand block opportunity
After replication of the desired region, the RNA primer is removed by DNA polymerase I via the process of nick translation. The removal of the RNA primer allows DNA ligase to ligate the DNA-DNA nick between the new fragment and the previous strand. DNA polymerase I & III, along with many other enzymes are all required for the high fidelity, high-processivity of DNA replication. Beta clamp DNA polymerase DNA replication Overview at Oregon State University DNA+Polymerase+III at the U.S. National Library of Medicine Medical Subject Headings (MeSH) Clamping down on pathogenic bacteria[link removed] – how to shut down a key DNA polymerase complex
The fas receptor (First apoptosis signal) – (also known as Apo-1 or CD95) is a transmembrane protein of the TNF family which binds the Fas ligand (FasL). The interaction between Fas and FasL results in the formation of the death-inducing signaling complex (DISC), which contains the FADD, caspase-8 and caspase-10. In some types of cells (type I), processed caspase-8 directly activates other members of the caspase family, and triggers the execution of apoptosis of the cell. In other types of cells (type II), the Fas-DISC starts a feedback loop that spirals into increasing release of proapoptotic factors from mitochondria and the amplified activation of caspase-8.
Sources: en.wikipedia.org
The enzyme converts adenosine to adenosine monophosphate by transferring a phosphate group. Adenosine diphosphate is produced as a byproduct: The AdK gene/protein is mainly found in eukaryotic organisms and its primary sequence shows a high degree of conservation (>55% aa similarity). However, AdK sequences exhibit low (~ 20-25%), but significant similarity to other PfkB family of proteins such as RK and phosphofructokinases, which are also found in prokaryotic organisms. Although a protein exhibiting AdK activity has been reported in Mycobacterium tuberculosis, sequence and biochemical characteristics of this enzyme reveal it to be an atypical enzyme that is more closely related to ribokinase and fructokinase (35%) than to other ADKs (less than 24%).
Network analysis seeks to understand the relationships within biological networks such as metabolic or protein–protein interaction networks. Although biological networks can be constructed from a single type of molecule or entity (such as genes), network biology often attempts to integrate many different data types, such as proteins, small molecules, gene expression data, and others, which are all connected physically, functionally, or both. Systems biology involves the use of computer simulations of cellular subsystems (such as the networks of metabolites and enzymes that comprise metabolism, signal transduction pathways and gene regulatory networks) to both analyze and visualize the complex connections of these cellular processes. Artificial life or virtual evolution attempts to understand evolutionary processes via the computer simulation of simple (artificial) life forms.
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.
The NUBPL gene encodes a protein that is a member of the Mrp/NBP35 ATP-binding family. This protein is required for the assembly of the mitochondrial membrane respiratory chain NADH dehydrogenase (Complex I), the first oligomeric enzymatic complex of the mitochondrial respiratory chain located in the inner mitochondrial membrane. Its role in assembly is the delivery of one or more iron–sulfur (Fe-S) clusters to complex I subunits in anaerobic conditions in vitro. The dysfunction of NUBPL results in an irregular assembly of the peripheral arm of complex I, which may lead to a decrease in activity. Knockdown of the protein also causes abnormal mitochondrial ultrastructure characterized by respiratory supercomplex remodeling, christa membrane loss, and abnormally high lactate levels.
The use of trapezoidal rule in AUC calculation was known in literature by no later than 1975, in J.G. Wagner's Fundamentals of Clinical Pharmacokinetics. A 1977 article compares the "classical" trapezoidal method to a number of methods that take into account the typical shape of the concentration plot, caused by first-order kinetics. Notwithstanding the above knowledge, a 1994 Diabetes Care article by Mary M. Tai entitled "A Mathematical Model for the Determination of Total Area Under Glucose Tolerance and Other Metabolic Curves" purports to have independently discovered the trapezoidal rule. In Tai's response to the later letters to the editors, she explained that the rule was new to her colleagues, who relied on grid-counting. Tai's paper has been discussed as a case of scholarly peer review failure. Despite the number of mathematically superior numerical integration schemes (such as those outlined in Wagner & Ayres 1977), the trapezoidal rule remains the convention for AUC calculation. Later focus on improving the accuracy of AUC calculation shifted from improving the method to improving the sampling scheme. An example is a 2019 algorithm known as OTTER: it performs a fit onto sum of exponentials curve for the input data but only uses it to suggest better sample times by finding more highly sloped periods.
Sources: en.wikipedia.org
The standard botanical author abbreviation Tswett is applied to plants that he described. Ostrowski, W (1968). "Michael S. Tswett—inventor of column chromatography (On the occasion of 65th anniversary of his lecture on the column chromatography technique)". Folia Biol. (Krakow). Vol. 16, no. 4. pp. 429–48. PMID 4885242. R. Willstätter, A. Stoll, Untersuchungen über Chlorophyll, Springer, Berlin (1913) Biography of Mikhail S. Tsvet (pdf, in German) Mikhail S. Tsvet: Physical chemical studies on chlorophyll adsorptions Berichte der Deutschen botanischen Gesellschaft 24, 316–323 (1906)
The right side of a positive-sensed AAV genome encodes overlapping sequences of three capsid proteins, VP1, VP2 and VP3, and two accessory proteins, MAAP & AAP, which start from one promoter, designated p40. The molecular weights of these proteins are 87, 72 and 62 kiloDaltons, respectively. The AAV capsid is composed of a mixture of VP1, VP2, and VP3 totaling 60 monomers arranged in icosahedral symmetry in a ratio of 1:1:10, with an empty mass of approximately 3.8 MDa. The crystal structure of the VP3 protein was determined by Xie, Bue, et al.
The LCPO method uses a linear approximation of the two-body problem for a quicker analytical calculation of ASA. The approximations used in LCPO result in an error in the range of 1-3 Ų. In 2011, a method was presented that calculates ASA fast and analytically using a power diagram. Accessible surface area is often used when calculating the transfer free energy required to move a biomolecule from an aqueous solvent to a non-polar solvent, such as a lipid environment. The LCPO method is also used when calculating implicit solvent effects in the molecular dynamics software package AMBER. It is recently suggested that (predicted) accessible surface area can be used to improve prediction of protein secondary structure.
Most drugs are taken orally and are absorbed through the gastrointestinal tract. Antacids would increase the pH environment in the stomach and cause premature release of enteric coated drugs, which are designed to be protected from an acidic environment in stomach. For example, proton-pump inhibitors (PPIs) are enteric coated to protect them from decomposition under an acidic environment. Co-administration of antacids with PPIs would lead to premature release into acidic gastric environments and inactivate PPIs before absorption. These types of pharmacokinetics antagonism should be carefully avoided to prevent loss of drug efficacy. Since most drugs are either weakly acidic or weakly basic, modified pH would also affect the location at which the drug is deionised, thus affecting the required time for absorption and onset.
Zenobi-Wong works in the area of tissue engineering, in particular for cartilage regeneration. She develops functional biomaterials which mimic the extracellular matrix. The biofabrication techniques used to develop these materials include electrospinning, casting, two-photon polymerization and bioprinting. Zenobi-Wong holds four licensed patents in the fields of tissue engineering, tissue engineering techniques, and gene expression assays. She was one of the originators of the MSc Biomedical Engineering program at ETH Zürich, and developed several graduate level courses in tissue engineering and biomedical engineering. Zenobi-Wong currently serves as President of the Swiss Society for Biomaterials and Regenerative Medicine, and as secretary general of the International Society of Biofabrication. ETH Zürich Department of Health Sciences and Technology - Tissue Engineering and Biofabrication Group Marcy Zenobi-Wong publications indexed by Google Scholar
Sources: en.wikipedia.org
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.
Validation follows a planned protocol that tests accuracy, precision, specificity, linearity, range, detection limits, quantitation limits, and robustness. Results are compared against predefined acceptance criteria. The validation report supports regulatory filing or routine use.
Revalidation may be needed after changes to column chemistry, mobile phase, detection, sample preparation, or instrument type. It can also follow a pattern of out-of-specification results. The scope depends on whether the change affects method performance.
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.