If you have been reading about HPLC 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 2025-10-10. Where a claim depends on a specific study, the study is described rather than over-claimed.
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.
HPLC testing is an analytical technique used to separate, identify, and quantify components in a liquid sample. It relies on a pressurized mobile phase that carries the sample through a column packed with stationary phase. Different compounds travel at different rates because of interactions with the stationary and mobile phases. The resulting signal versus time is a chromatogram. Peak position indicates identity under specified conditions, while peak area or height relates to amount.
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.
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.
| 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 |
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.
Developing an HPLC test begins with defining the analytes, matrix, and required reporting limits. Chemists select a separation mode, column chemistry, mobile phase composition, flow rate, and detection wavelength or mass transition. Experiments then adjust these variables to achieve adequate retention, resolution, and peak shape. System suitability tests confirm that the instrument and method perform consistently before sample analysis. Without suitable resolution, quantitative results may be unreliable. Preliminary runs often use scouting gradients to locate retention windows.
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.
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.
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.
Central obesity can be a feature of lipodystrophies, a group of diseases that is either inherited, or due to secondary causes (often protease inhibitors, a group of medications against AIDS). Central obesity is a symptom of Cushing's syndrome and is also common in patients with polycystic ovary syndrome (PCOS). Central obesity is associated with glucose intolerance and dyslipidemia. Once dyslipidemia becomes a severe problem, an individual's abdominal cavity would generate elevated free fatty acid flux to the liver. The effect of abdominal adiposity occurs not just in those who are obese, but also affects people who are non-obese and it also contributes to insulin sensitivity. Ghroubi et al. (2007) examined whether abdominal circumference is a more reliable indicator than BMI or the presence of knee osteoarthritis in obese patients. They found that it actually appears to be a factor linked with the presence of knee pain as well as osteoarthritis in obese study subjects. Ghroubi et al. (2007) concluded that a high abdominal circumference is associated with great functional repercussion. Research published in The Lancet (2023) found that high levels of visceral fat were related to poorer cognitive performance. The findings suggest that maintaining a healthy weight and metabolic health may be important for preserving cognitive function.
Lipid vesicles or liposomes are approximately spherical pockets that are enclosed by a lipid bilayer. These structures are used in laboratories to study the effects of chemicals in cells by delivering these chemicals directly to the cell, as well as getting more insight into cell membrane permeability. Lipid vesicles and liposomes are formed by first suspending a lipid in an aqueous solution then agitating the mixture through sonication, resulting in a vesicle. Measuring the rate of efflux from the inside of the vesicle to the ambient solution allows researchers to better understand membrane permeability. Vesicles can be formed with molecules and ions inside the vesicle by forming the vesicle with the desired molecule or ion present in the solution. Proteins can also be embedded into the membrane through solubilizing the desired proteins in the presence of detergents and attaching them to the phospholipids in which the liposome is formed. These provide researchers with a tool to examine various membrane protein functions.
ALK-negative ALCL tumor cells show products made by chimeric genes: DUSP22-IRF4 (many of which are fused at particular site and termed DUSP22-FRA7H) in 30% of the cases; TP63-TBL1XR1 in 8% of cases; and NFKB2-ROS1, NCOR2-ROS1, NFKB2-TYK2, or PABPC4-TYK2 in rare cases. They also show mutations in the JAK1 and/or STAT3 genes in 18% of cases; the MSC gene in 15% of cases, and the NOTCH1 gene in 15% of cases. About 24% of cases have a truncated ERBB4 gene. DUSP22 gene rearrangements have been associated with favorable outcomes in ALK-negative ALCL while TP63 gene arrangements are often associated with a poorer prognosis in various cancers. ALK-negative ALCL cells overexpress overactive STAT3 in 47% of cases and JAK1 in many cases. Many of these gene abnormalities appear to contribute to the development of ALK-negative ALCL.
GCaMP is a genetically encoded calcium indicator (GECI) initially developed in 2001 by Junichi Nakai. It is a synthetic fusion of green fluorescent protein (GFP), calmodulin (CaM), and M13, a peptide sequence from myosin light-chain kinase. When bound to Ca2+, GCaMP fluoresces green with a peak excitation wavelength of 480 nm and a peak emission wavelength of 510 nm. It is used in biological research to measure intracellular Ca2+ levels both in vitro and in vivo using virally transfected or transgenic cell and animal lines. The genetic sequence encoding GCaMP can be inserted under the control of promoters exclusive to certain cell types, allowing for cell-type specific expression of GCaMP. Since Ca2+ is a second messenger that contributes to many cellular mechanisms and signaling pathways, GCaMP allows researchers to quantify the activity of Ca2+-based mechanisms and study the role of Ca2+ ions in biological processes of interest.
Klibanski became chief of the Neuroendocrine Unit at Massachusetts General Hospital, studying hormones and neuroendocrinology with a focus on hypopituitarism and pituitary tumors. Her clinical research has also examined the effects of hypothalamic and pituitary disorders on body composition and bone density, including bone loss associated with anorexia nervosa and growth hormone deficiency. In 1997, Klibanski became the first woman from Mass General's Department of Medicine to become a professor of medicine at Harvard. She has authored more than 350 peer-reviewed papers and book chapters and has received the Endocrine Society Clinical Investigator Award and the Clinical Endocrinology Trust Medal from the Society for Endocrinology. Klibanski has served on the National Institute of Diabetes and Digestive and Kidney Diseases Board of Counselors and the editorial board of the Journal of Clinical Endocrinology and Metabolism, and is a past president of the Pituitary Society. She established the Center for Faculty Development at Massachusetts General Hospital and mentored more than fifty women, for which she received the Endocrine Society's Outstanding Mentor Award.
Sources: en.wikipedia.org
In March 2008, AFRL's Human Effectiveness Directorate located at Wright-Patterson AFB was merged with the Air Force School of Aerospace Medicine and the Human Performance Integration Directorate from the 311th Human Systems Wing both located at Brooks City-Base, Texas to form the 711th Human Performance Wing. In its vision statement, the wing includes the goals of improving aerospace medicine, science and technology, and human systems integration. The current Commander of the 711th is Brig. Gen. Timothy Jex. One practical application of its work is ensuring and advancing the safety of ejection systems for pilots. With the increasing number of females in the Air Force ranks, anthropometry is of greater import now than ever, and 711th's WB4 'whole-body scanner' enables swift and accurate acquisition of anthropometric data which may be used to design pilot equipment with a better fit for comfort and safety.
Bacteria in the genus Pseudomonas are able to aerobically grow on L-carnitine, as it is the bacteria's sole source of nitrogen and carbon. The L-carnitine is metabolized at its beta-hydroxy group by L-carnitine-3-dehydrogenase and the coenzyme NAD+, which forms 3-dehydrocarnitine; the 3-dehydrocarnitine then acts as an inducer for the enzyme, further allowing the enzyme to catalyze the reaction. The formed 3-dehydrocarnitine may also be broken down to form glycine betaine which is then metabolized through step demethylation to form glycine. Carnitine Carnitine dehydrogenase Enzyme Metabolism Pseudomonas
The HIE-ISOLDE project introduced a network of High Energy Beam Transfer (HEBT) beamlines to the ISOLDE facility. The common section beamline, XT00, joins to three bending beamlines (XT01, XT02, XT03) leading to different experiment setups. The three identical beamlines are independent of each other, for example, if the first XT01 dipole magnet is off, the beam will continue to the XT02 and XT03. They all bend the beam by 90 degrees and focus it using two dipole magnets and a doublet-quadrupole. The XT01 beamline leads to Miniball, the XT02 beamline leads to the ISS, and the XT03 beamline leads to movable setups, such as the SEC scattering chamber. Offline 2 was recently installed as a mass separator beamline at ISOLDE, with the purpose of satisfying the increased demands on the original offline facility, Offline 1. The facility includes the beamline enclosed in a Faraday cage as well as a laser laboratory and control station. The offline facility is designed for target test studies, and upgraded to include potential for the production and study of molecular ion beams.
ACTA2 (actin alpha 2) is an actin protein with several aliases including alpha-actin, alpha-actin-2, aortic smooth muscle or alpha smooth muscle actin (α-SMA, SMactin, alpha-SM-actin, ASMA). Actins are a family of globular multi-functional proteins that form microfilaments. ACTA2 is one of six different actin isoforms and is involved in the contractile apparatus of smooth muscle. ACTA2 (as with all the actins) is extremely highly conserved and found in nearly all mammals. In humans, ACTA2 is encoded by the ACTA2 gene located on 10q22-q24. Mutations in this gene cause a variety of vascular diseases, such as thoracic aortic disease, coronary artery disease, stroke, Moyamoya disease, and multisystemic smooth muscle dysfunction syndrome. ACTA2 (commonly referred to as alpha-smooth muscle actin or α-SMA) is often used as a marker of myofibroblast formation. Studies have shown that ACTA2 is associated with TGF-β pathway that enhances contractile properties of hepatic stellate cells leading to liver fibrosis and cirrhosis.
Many of the payloads for oncology ADCs (oADC) are natural product based with some making covalent interactions with their target. Payloads include the microtubulin inhibitors monomethyl auristatin E (MMAE), monomethyl auristatin F (MMAF) and mertansine, DNA binder calicheamicin and topoisomerase 1 inhibitors SN-38 and exatecan resulting in a renaissance for natural product total synthesis. Glucocorticoid receptor modulators (GRMs) represent to most active payload class for iADCs. Approaches releasing marketed GRM molecules such as dexamethasone and budesonide have been developed. Modified GRM molecules have also been developed that enable the attachment of the linker with the term ADCidified describing the medicinal chemistry process of payload optimization to facilitate linker attachment. Alternatives to small molecule payloads have also been investigated, for example, siRNA. More recently, targeted protein degraders have been explored as payloads for antibody conjugates. A 2025 study described a KIF11-directed degrader–antibody conjugate (DAC), in which a cereblon-recruiting degrader was used as the payload to induce antigen-dependent protein degradation and cytotoxicity in preclinical models.
Sources: en.wikipedia.org
In 2007, Waters served as co-chair for the International Symposium on Dynamic Combinatorial Chemistry (November). The year after that, she was an advisory board member of International Symposia on Macrocyclic and Supramolecular Chemistry (ISMSC). In 2009, she was a guest editor for the December issue of Current Opinion in Chemical Biology. From 2009 to 2015, she was an advisory board member of International Symposia on Macrocyclic and Supramolecular Chemistry (ISMSC). In 2011, Waters was a co-organizer of the Mesilla Chemistry Workshop on "Aromatic Interactions in Chemistry and Biology"(with Ken Houk, UCLA Dept of Chemistry). In 2012, Waters was a section editor for "Supramolecular Chemistry: From Molecules to Nanomaterials" (John Wiley and Sons). In 2013, she was the co-chair, of American Peptide Society Meeting (with David Lawrence, UNC Dept of Chemistry) and a guest editor for Accounts of Chemical Research for the "Aromatic Interactions in Chemistry and Biology" article in the April issue. From 2014 to 2020, Waters was an editorial advisory board member of the Journal of the American Chemical Society.
Physiologic antagonism refers to the behaviour in which an antagonist behaves the opposite of the agonist but does not bind to the same active site as the agonist does. A physiologic antagonist binds to a different receptor but not the original agonist receptor. Both insulin and glucagon are synthesised naturally in the human body to regulate blood glucose levels at homeostasis. Insulin binds to insulin receptors to decrease blood glucose levels, whilst glucagon binds to glucagon receptors to increase blood glucose levels. In cases of insulin-induced hypoglycaemia, glucagon injection could help increase blood glucose levels. Another example is epinephrine (a bronchodilator) and histamine (a bronchoconstrictor). Epinephrine binds to adrenergic receptors to promote bronchodilation whilst histamine binds to histamine receptors which leads to bronchoconstriction. Since they have opposite effects in different pathways, they are considered physiological antagonists, and they are not advised to be taken together.
Amylin analogues can both reduce energy intake and increase expenditure and can usefully be combined with leptin analogues for synergistic effect. The dual amylin and calcitonin receptor agonist cagrilintide, in combination with semaglutide, was more effective than semaglutide alone in promoting weight loss in clinical trials. Glucagon receptor agonists both reduce energy intake and increase energy expenditure in humans. They can cause hyperglycemia so it is recommended to combine them with a hypoglycemic drug, such as a GLP-1 or GIP receptor agonist.
In the US, Aducanumab is indicated for the treatment of Alzheimer's disease. In July 2021, the US Food and Drug Administration (FDA) limited the indication to people with mild cognitive impairment or mild dementia stage of disease, the population in which treatment was initiated in clinical trials. Aducanumab is a monoclonal IgG1 antibody that binds to the amyloid beta protein at amino acids 3–7, which is posited to result in slowing the progression of Alzheimer's disease. The mechanism is based on the amyloid hypothesis, which posits that amyloid proteins cause Alzheimer's disease, hence removing amyloid should slow the progression of the disease. How the antibody accesses the plaques is under active research. One mechanism suggests the plaques are exposed to the lumen of blood vessels and the antibody accesses the plaques from the lumen side. This assumes the plaque formed as a result of a leaky blood brain barrier and may also explain why there is hemorrhage after the plaques are removed. The most common serious adverse reactions reported are:
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.
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.