Everything below concerns HPLC. We keep the language plain, cite what the science says, and separate well-supported claims from open questions.
Last reviewed on 2026-03-13. Where a claim depends on a specific study, the study is described rather than over-claimed.
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.
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.
| Property | Value | Notes |
|---|---|---|
| Separation mode | Reversed-phase | Nonpolar stationary phase with polar mobile phase |
| Typical column particle size | 3–5 µm | Smaller particles improve resolution but raise pressure |
| Typical flow rate | 0.5–2.0 mL/min | Depends on column dimensions and pressure limits |
| Common detection | UV-Vis absorbance | Requires analytes with chromophores |
| Typical run time | 5–30 min | Varies with method, gradient, and sample complexity |
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.
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.
Detection commonly uses ultraviolet-visible absorbance, fluorescence, refractive index, or mass spectrometry. Ultraviolet detection depends on molecular chromophores that absorb light at specific wavelengths. Mass spectrometry provides mass information and sensitive quantification, often after electrospray ionization. Before sample batches, performance checks examine resolution, elution time repeatability, peak symmetry, and plate count. Matrix effects and co-elution remain recognized uncertainties; formal validation studies and orthogonal detection help address them. Detector choice depends on analyte properties and required sensitivity.
Prior to founding the Center for Biomedical Mass Spectrometry at Boston University School of Medicine in 1994, Costello was a senior research scientist and the associate director of the National Institutes of Health Research Resource for Mass Spectrometry at Massachusetts Institute of Technology for 20 years. She is a William Fairfield Warren Distinguished Professor and the director of the Center for Biomedical Mass Spectrometry at the Boston University School of Medicine. Costello served as the president of the American Society for Mass Spectrometry (2002–2004), the Human Proteome Organization (2011–2012), and the International Mass Spectrometry Foundation (2014–2018). She currently serves on the board of directors of the US Human Proteome Organization, and the editorial board of Clinical Proteomics.
Amitriptyline was developed by the American pharmaceutical company Merck in the late 1950s. In 1958, Merck approached several clinical investigators proposing to conduct clinical trials of amitriptyline for schizophrenia. One of these researchers, Frank Ayd, instead, suggested using amitriptyline for depression. Ayd treated 130 patients and, in 1960, reported that amitriptyline had antidepressant properties similar to another, and the only known at the time, tricyclic antidepressant imipramine. Following this, the US Food and Drug Administration approved amitriptyline for depression in 1961. In Europe, due to a quirk of the patent law at the time allowing patents only on the chemical synthesis but not on the drug itself, Roche and Lundbeck were able to independently develop and market amitriptyline in the early 1960s. According to research by a historian of psychopharmacology David Healy, amitriptyline became a much bigger selling drug than its precursor imipramine because of two factors. First, amitriptyline has a much stronger anxiolytic effect. Second, Merck conducted a marketing campaign raising clinicians' awareness of depression as a clinical entity. Amitriptyline is no longer sold under the brand name Elavil.
Temperature programmed desorption (TPD) is the method of observing desorbed molecules from a surface when the surface temperature is increased. When experiments are performed using well-defined surfaces of single-crystalline samples in a continuously pumped ultra-high vacuum (UHV) chamber, then this experimental technique is often also referred to as thermal desorption spectroscopy or thermal desorption spectrometry (TDS). When molecules or atoms come in contact with a surface, they adsorb onto it, minimizing their energy by forming a bond with the surface. The binding energy varies with the combination of the adsorbate and surface. If the surface is heated, at one point, the energy transferred to the adsorbed species will cause it to desorb. The temperature at which this happens is known as the desorption temperature. Thus TPD shows information on the binding energy.
Sources: en.wikipedia.org
Profilin allergy is significantly associated with respiratory allergy to grass pollen ( hay fever). After a person first becomes allergic to profilin through inhalation of grass or tree pollen, allergy to profilin-containing food and development of pollen-food syndrome occurs How often pollen-allergic people across Europe become profilin allergic varies widely; As of 1997, from about 5% of Swedish birch pollen–allergic people to 51% in Spanish people allergic to Mercurialis annua were profilin allergic. Profilin is the major allergen of certain food plants, for example, melon, orange, and soybean and thus allergy to melon, citrus fruits, tomato, and banana is a clinical marker of profilin hypersensitivity. As of 2018 there was no "solid therapeutic approach" to treat profilin allergy. As of 2018, the list of members of the profilin family identified as allergens contained:
Adesuwa Obasuyi (born February 1990) is a Nigerian environmentalist, climate change advocate, and the initiator of Sustainable Africa Cities and Communities Initiative - an environmental non-governmental organization that focuses on waste, and waste data management in Nigeria and Africa. She currently works as the Climate Change Policy Manager at the British High Commission, Abuja. She attended Delta State University, and obtained a bachelor's degree in Biochemistry in 2010; she went further to get a master's degree in Environmental Quality Management(2014 - 2017) from the University of Benin.
The structure of the AG glycans consists of a backbone of β-1,3 linked galactose (Gal), with sidechains of β-1,6 linked Gal and have terminal residues of arabinose (Ara), rhamnose (Rha), Gal, fucose (Fuc), and glucuronic acid (GlcA). These AG glycan moieties are assembled by glycosyltransferases (GTs). O-glycosylation of AGPs is initiated by the action of Hyp-O-galactosyltransferases (Hyp-O-GalTs) that add the first Gal onto the protein. The complex glycan structures are then elaborated by a suite of glycosyltransferases, the majority of which are bio-chemically uncharacterized. The GT31 family is one of the families involved in AGP glycan backbone biosynthesis. Numerous members of the GT31 family have been identified with Hyp-O-GALT activity and the core β-(1,3)-galactan backbone is also likely to be synthesized by the GT31 family. Members of the GT14 family are implicated in adding β-(1,6)- and β-(1,3)-galactans to AGPs. In Arabidopsis, terminal sugars such as fucose are proposed to be added by AtFUT4 (a fucosyl transferase) and AtFUT6 in the GT37 family and the terminal GlcA incorporation can be catalysed by the GT14 family. A number of GTs remain to be identified, for example those responsible for terminal Rha.
Sources: en.wikipedia.org
2-AG was discovered by Raphael Mechoulam and his student Shimon Ben-Shabat. 2-AG was a known chemical compound but its occurrence in mammals and its affinity for the cannabinoid receptors were first described in 1994–1995. A research group at Teikyo University reported the affinity of 2-AG for the cannabinoid receptors in 1994–1995, but the isolation of 2-AG in the canine gut was first reported in 1995 by the research group of Raphael Mechoulam at the Hebrew University of Jerusalem, which additionally characterized its pharmacological properties in vivo. 2-Arachidonoylglycerol, next with Anandamide, was the second endocannabinoid discovered. The cannabinoid established the existence of a cannabinoid neuromodulatory system in the nervous system.
On 1 December 1978, the Health and Safety Executive announced their intention to prosecute the university for breach of safety legislation. The case was heard in October 1979 at Birmingham Magistrates' Court. Although the source of infection was traced, the mode and cause of transmission was not. Evidence presented by several internationally recognised experts, including Kevin McCarthy, Allan Watt Downie and Keith R. Dumbell, showed that airborne transmission from the laboratory to the telephone room where Parker was supposedly infected was highly improbable. The experts calculated that it would require 53,700 litres (11,812 imp gal) of virus fluid to have been aspirated (meaning, in this context, removed by suction of fluid and cells through a needle) and it would take 20,000 years for one particle to travel to the telephone room at the rate the fluid was aspirated. It was additionally found that although the Shooter Inquiry noted the poor state of the duct sealing in the laboratory, this was caused after the outbreak by engineers fumigating the laboratory and ducts. The university was found not guilty of causing Parker's death.
Any protein that can be split into two parts and reconstituted non-covalently to form a functional protein may be used in a PCA. The two fragments however have low affinity for each other and must be brought together by other interacting proteins fused to them (often called "bait" and "prey" since the bait protein can be used to identify a prey protein, see figure). The protein that produces a detectable readout is called "reporter". Usually enzymes which confer resistance to nutrient deprivation or antibiotics, such as dihydrofolate reductase or beta-lactamase respectively, or proteins that give colorimetric or fluorescent signals are used as reporters. When fluorescent proteins are reconstituted the PCA is called Bimolecular fluorescence complementation assay. The following proteins have been used in split protein PCAs:
{\displaystyle RI=5*{25 \over 45}*0.5=} 1.4 The reticulocyte index (RI) should be between 0.5% and 2.5% for a healthy individual. RI < 0.5% with anemia indicates maturation disorder, meaning loss of red blood cells, but also decreased production of reticulocytes (i.e., an inadequate response to correct the anemia) and therefore red blood cells. RI > 2.5% with anemia indicates loss of red blood cells (from causes such as destruction, bleeding, etc.), with an increased compensatory production of reticulocytes to replace the lost red blood cells. Interpretation of these values are not standard and vary based on specific laboratory values and clinical context.
Sources: en.wikipedia.org
It separates components in a liquid sample and measures their amounts using a detector. Results can indicate concentration, purity, or identity based on retention time and detector response. The technique works for mixtures that can be dissolved and filtered.
It offers high resolution, reproducibility, and compatibility with many sample types. A single run can separate and quantify multiple analytes. It is common in pharmaceutical, food, environmental, and industrial laboratories.
Samples must be soluble in a suitable mobile phase and free of particles that can block the column. Detector response depends on analyte structure, so some compounds need derivatization or alternative detection. Complex matrices may require extensive sample preparation.
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.