A practical reference on retention time: what it is, how it behaves, what the literature reports, and where the honest uncertainties sit.
Reviewed 2025-07-15. Anything still debated is marked as such rather than presented as settled.
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.
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.
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.
| Property | Value | Notes |
|---|---|---|
| Separation mode | Reversed-phase | Most common for neutral and moderately polar analytes |
| Column particle size | 3–5 µm | Smaller particles improve resolution but raise backpressure |
| Mobile phase pH range | 2–8 | Silica-based columns may degrade outside this range |
| Typical flow rate | 1.0–2.0 mL/min | For analytical columns with 4.6 mm internal diameter |
| Common synonyms | HPLC, LC, high-pressure liquid chromatography | High-performance liquid chromatography is the standard expansion |
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.
In an effort to prevent incidents such as the disappearance of Malaysia Airlines Flight MH370, a new standard has been issued requiring all commercial aircraft to report their position every 15 minutes to air traffic controllers regardless of the country of origin. Introduced in 2016 by the ICAO, the regulation has no initial requirement for any new aircraft equipment to be fitted. The standard is part of a long-term plan, called the Global Aeronautical Distress and Safety System (GADSS), which will require new aircraft to be equipped with data broadcast systems that are in constant contact with air traffic controllers. The GADSS is similar to the Global Maritime Distress and Safety System (GMDSS) used for maritime safety.
April III was defensive quality control coach for the Philadelphia Eagles from 2011 to 2012. In 2013, April III moved to the New York Jets as defensive quality control coach and assistant linebacker coach. In 2014, he was promoted to linebackers coach with the Jets. In 2015, April III moved with Rex Ryan from the Jets to the Buffalo Bills and continued to serve as linebackers coach through 2016. On February 1, 2026, April III returned to the Buffalo Bills as the team's new outside linebackers coach, under head coach Joe Brady. April III had accepted a position to be the defensive ends coach with Minnesota in the college ranks only a month earlier. April earned his bachelor's degree in sports management from Louisiana-Lafayette. He is the son of Bobby April Jr., a former NFL and college special teams coordinator. Buffalo Bills profile Wisconsin profile
In collaboration with the Academic Medical Center in Amsterdam, Inreda Diabetic B.V. has developed a closed loop system with insulin and glucagon. The initiator, Robin Koops, started to develop the device in 2004 and ran the first tests on himself. In October 2016 Inreda Diabetic B.V. got the ISO 13485 license, a first requirement to produce its artificial pancreas. The product itself is called Inreda AP, and soon made some highly successful trials. After clinical trials, it received the CE marking, noting that it complies with European regulation, in February 2020. In October 2020 the health insurance company Menzis and Inreda Diabetic then started a pilot with 100 patients insured by Menzis. These are all patients that face very serious trouble in regulating their blood glucose levels. They now use the Inreda AP instead of the traditional treatment. Another large scale trial with the Inreda AP was set up in July 2021, and should determine whether Dutch health insurance should cover the device for all their insured. A smaller improved version of the Inreda AP is scheduled for release in 2023.
DeepMind is known to have trained the program on over 170,000 protein structures from the Protein Data Bank, a public repository of protein sequences and structures. The program uses a form of attention network, a deep learning technique that focuses on having the AI identify parts of a larger problem, then piece it together to obtain the overall solution. The overall training was conducted on processing power between 100 and 200 GPUs.
Altria, like other tobacco companies, has invested in science and medical companies which develop and produce medical products for conditions caused or aggravated by smoking. As of 2024, Altria's three medical subsidiaries included the following: Cronos group (maker of recreational cannabis), Lexaria Bioscience (Developer of proprietary drug delivery technology, DehydraTECH, to improve active pharmaceutical ingredients entrance into the bloodstream) and Micreos (biotech company focused on discovering and developing recombinant proteins for chronic dermatology and oncology conditions). It has also designed and marketed electronic cigarettes. Altria launched the MarkTen and Green Smoke brands. Both of these were discontinued in December 2018. The company returned to this market through the acquisition of NJOY.
Sources: en.wikipedia.org
Pinhasov is a researcher at the Department of Molecular Biology and Dr. Miriam and Sheldon G. Adelson School of Medicine. His research focuses on the molecular mechanisms of mental disorders and the relationship between psychiatric deviations and stress sensitivity. His laboratory group has developed a selectively bred mouse model with strong features of dominance and submissiveness. These mice respectively exhibit manic-like and depression-like behavior with different responses to psychotropic agents and environmental stimuli, demonstrating differential sensitivity to stress. His group showed that inherited susceptibility to stress is linked to gradual development of chronic inflammation, wide-spectrum metabolic alterations, brain neurotransmission deterioration, electrical activity accompanied behavioral disturbances in emotional and cognitive domains, and reduced life expectancy. The Dominant-Submissive mouse model has been shown to be a successful and unique tool for studying the mechanisms of aging related cognitive impairments, mental disorders, and their effects on the entire organism.
The Aviation Safety Reporting System (ASRS) collects voluntarily submitted aviation safety incident/situation reports from pilots, controllers and others. The ASRS uses reports to identify system deficiencies, issue alert messages, and produce two publications, CALLBACK, and ASRS Directline. The collected information is made available to the public, and is used by the FAA, NASA and other organizations working in research and flight safety.
In May 2023, the FDA approved the iLet Bionic Pancreas system for people with Type 1 diabetes of six years and older. The device uses a closed-loop system to deliver both insulin and glucagon in response to sensed blood glucose levels. The 4th generation iLet prototype, presented in 2017, is around the size of an iPhone, with a touchscreen interface. It contains two chambers for both insulin and glucagon, and the device is configurable for use with only one hormone, or both. A 440-patient study of type I diabetes ran in 2020 and 2021 using a device configuration that delivered only insulin in comparison to standard of care; device use led to better circulating glucose control (measured by continuous monitoring) and a reduction in glycated hemoglobin (versus no change for the standard of care group). However, the incidence of severe hypoglycemic events was more than 1.5 times higher among device users versus standard care patients. There are several non-commercial, non-FDA approved DIY options, using open source code, including OpenAPS, Loop, and/or AndroidAPS.
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.
Sources: en.wikipedia.org
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.
The pump maintains a steady flow rate and pressure, which keeps retention times reproducible. Pulsation or flow errors can shift peaks and distort quantitation. Modern pumps use feedback control to reduce these variations.
HPLC alone usually separates compounds but does not always identify them. Retention time matching with a known standard provides tentative identification. Coupling HPLC to mass spectrometry adds mass information that supports structural identification.
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.