retention time raises a handful of sensible questions. This page answers them in order, starting with the fundamentals and moving to applications.
Reviewed 2025-09-06. Anything still debated is marked as such rather than presented as settled.
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 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.
System suitability testing is performed before and during analytical runs to confirm that the instrument and method are working as expected. Typical checks include retention time, peak area precision, resolution between critical pairs, tailing factor, and theoretical plate count. Acceptance criteria are set in the method or pharmacopeial monograph. If a suitability check fails, the run may be rejected and the instrument or sample preparation may need investigation. This practice helps prevent release of data from a system that has drifted out of control.
| 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 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.
The targets of the subpoenas are former White House Chief of Staff Mark Meadows, former White House Deputy Chief of Staff for Communications Dan Scavino, former Defense Department official Kashyap Patel and former Trump adviser Steve Bannon. September 24 The U.S. House votes to pass the Women's Health Protection Act, an abortion rights bill, in response to the Supreme Court refusing to block the Texas Heartbeat Act from becoming law. Fox News announces that it has banned Rudy Giuliani and his son Andrew Giuliani from appearing on the channel for three months. September 25 – A train derails in Montana, killing three people. September 26 – 2021 NFL season: Baltimore Ravens kicker Justin Tucker kicks a 66-yard field goal during the team's 19–17 victory against the Detroit Lions, making it the longest field goal in National Football League history. September 27 COVID-19 pandemic COVID-19 vaccination In Vermont, registration opens to people aged 75 years and older to receive the booster shot of the Pfizer–BioNTech COVID-19 vaccine. In Washington, D.C., President Biden receives his third dose of the COVID-19 vaccine. Grammy Award-winning singer R. Kelly is found guilty in a federal court on all counts of sexually abusing women and children over two decades. Ford announces an $11.4 billion plan for electric vehicle (EV) production, its largest ever investment in the US, with a major new factory in Tennessee and two battery parks in Kentucky creating nearly 11,000 jobs. September 29 – The U.S.
This behavior is somewhat peculiar to normal phase chromatography because it is governed almost exclusively by an adsorptive mechanism (i.e., analytes interact with a solid surface rather than with the solvated layer of a ligand attached to the sorbent surface; see also reversed-phase HPLC below). Adsorption chromatography is still somewhat used for structural isomer separations in both column and thin-layer chromatography formats on activated (dried) silica or alumina supports. Partition- and NP-HPLC fell out of favor in the 1970s with the development of reversed-phase HPLC because of poor reproducibility of retention times due to the presence of a water or protic organic solvent layer on the surface of the silica or alumina chromatographic media. This layer changes with any changes in the composition of the mobile phase (e.g., moisture level) causing drifting retention times. Recently, partition chromatography has become popular again with the development of Hilic bonded phases which demonstrate improved reproducibility, and due to a better understanding of the range of usefulness of the technique.
=== Water === An ubiquitous example of a hydrogen bond is found between water molecules. In a discrete water molecule, there are two hydrogen atoms and one oxygen atom. The simplest case is a pair of water molecules with one hydrogen bond between them, which is called the water dimer and is often used as a model system. When more molecules are present, as is the case with liquid water, more bonds are possible because the oxygen of one water molecule has two lone pairs of electrons, each of which can form a hydrogen bond with a hydrogen on another water molecule. This can repeat such that every water molecule is H-bonded with up to four other molecules, as shown in the figure (two through its two lone pairs, and two through its two hydrogen atoms). Hydrogen bonding strongly affects the crystal structure of ice, helping to create an open hexagonal lattice. The density of ice is less than the density of water at the same temperature; thus, the solid phase of water floats on the liquid, unlike most other substances. Liquid water's high boiling point is due to the high number of hydrogen bonds each molecule can form, relative to its low molecular mass. Owing to the difficulty of breaking these bonds, water has a very high boiling point, melting point, and viscosity compared to otherwise similar liquids not conjoined by hydrogen bonds. Water is unique because its oxygen atom has two lone pairs and two hydrogen atoms, meaning that the total number of bonds of a water molecule is up to four.
Sources: en.wikipedia.org
=== Russia === The Association of Medical Physicists in Russia is organized and operates [1]. Teaching of medical physics is carried out at Moscow State University, Moscow Institute of Physics and Technology [2], Kuban State University. The scientific journal "Medical Physics" is published [3].
=== Ambient ionization mass spectrometry for disease diagnosis === The MasSpec Pen technology is based on the principles of ambient ionization, in which ions are generated directly from a sample without need for extensive sample preparation or chromatographic separations. The MasSpec Pen can further be categorized as a solid-liquid extraction based ambient ionization method, described as methods that utilize a solvent system to gently extract molecules from a sample surface that are subsequently analyzed by a mass spectrometer. Desorption electrospray ionization (DESI) was the first liquid-based ambient ionization MS method. DESI employed a spray of charged solvent droplets to bombard a sample surface to desorb and ionize molecules from the sample surface, which are then directed towards and analyzed by a mass spectrometer. DESI-MS and other solvent-based ambient ionization MS methods has been widely employed for the analysis of small molecules, primarily metabolites and lipids, directly from biological tissue specimens to determine their molecular composition and leverage the mass spectral data acquired for diagnostic purposes. These methods have been deployed for the discrimination of normal and cancerous regions of tissue samples for many solid tumor indications, including breast, brain, prostate, ovarian, and colorectal, among others. Multivariate statistical analysis methods are often utilized to generate statistical models from the mass spectral data acquired from direct analysis of tissue samples to distinguish between healthy and diseased tissues.
== Mechanism of action == Nitrovasodilators are prodrugs that donate NO by various mechanisms. Nitrates undergo chemical reduction, likely mediated by enzymes. Molsidomine and nitroprusside already contain nitrogen in the right oxidation state (+2) and liberate NO without the aid of enzymes. NO stimulates the soluble form of the enzyme guanylate cyclase in the smooth muscle cells of blood vessels. Guanylate cyclase produces cyclic guanosine monophosphate (cGMP) from guanosine triphosphate (GTP). cGMP in turn activates cyclic nucleotide-dependent protein kinase G, which phosphorylates various proteins that play a role in decreasing intracellular calcium levels, leading to relaxation of the muscle cells and thus to dilation of blood vessels. The most important effect in angina is the widening of veins, which increases their capacity to hold blood ("venous pooling") and reduces the pressure of the blood returning to the heart (the preload). Widening of the large arteries also reduces the pressure against which the heart has to pump, the afterload. Lower preload and afterload result in the heart needing less energy and thus less oxygen. Besides, NO donated by nitrovasodilators can reduce coronary spasms, increasing the heart's oxygen supply. PDE5 inhibitors block deactivation of cGMP by the enzyme phosphodiesterase-5. In combination with the increased cGMP production caused by nitrovasodilators, this leads to high concentrations of cGMP, extensive venous pooling, and potentially life-threatening hypotension.
The current epidemic of obesity and eating disorders undermines these theories. The set point theories of hunger and eating are inconsistent with basic evolutionary pressures related to hunger and eating as they are currently understood. Major predictions of the set point theories of hunger and eating have not been confirmed. They fail to recognize other psychological and social influences on hunger and eating.
Sources: en.wikipedia.org
=== Magnetic and Magnetoelectric nanoparticles === In contrast to the above mechanisms, a delivery with magnetic fields does not strongly depend on the biochemistry of the brain. In this case, nanoparticles are literally pulled across the BBB via application of a magnetic field gradient. The nanoparticles can be pulled in as well as removed from the brain merely by controlling the direction of the gradient. For the approach to work, the nanoparticles must have a non-zero magnetic moment and have a diameter of less than 50 nm. Both magnetic and magnetoelectric nanoparticles (MENs) satisfy the requirements. However, it is only the MENs which display a non-zero magnetoelectric (ME) effect. Due to the ME effect, MENs can provide a direct access to local intrinsic electric fields at the nanoscale to enable a two-way communication with the neural network at the single-neuron level. MENs, proposed by the research group of Professor Sakhrat Khizroev at Florida International University (FIU), have been used for targeted drug delivery and externally controlled release across the BBB to treat HIV and brain tumors, as well as to wirelessly stimulate neurons deep in the brain for treatment of neurodegenerative diseases such as Parkinson's Disease and others.
=== MSNovelist: De novo structure prediction === MSNovelist is a computational method for the de novo generation of small molecule structures. It addresses a key limitation of database search tools, which can only identify compounds already present in reference structure databases. This makes it particularly useful for analyzing poorly represented analyte classes and novel compounds. It is not intended to replace database searches altogether, but generates structures which can serve as a great starting point for elucidation of specific unknowns. MSNovelist functions by generating novel molecular structures based on the molecular formula (identified by SIRIUS) and the molecular fingerprint (predicted by CSI:FingerID) of the unknown compound. An encoder–decoder recurrent neural network (RNN) model is trained to translate the input fingerprint into a structure, represented as a SMILES sequence, under the constraints of the predicted molecular formula. MSNovelist generates multiple candidate structures from the predicted molecular fingerprint. Once the candidate structures are generated, they are ranked using CSI:FingerID.
However, unlike special interest groups these committees have come under some oversight regulation and are required to make formal records available to the public. As of 2002, about 1,000 of these advisory committees were described in the FACA searchable database.
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.
Method validation is the documented process of showing that an HPLC procedure produces reliable results for a defined purpose. It examines parameters such as accuracy, precision, specificity, linearity, and robustness. Regulators and quality systems often require validation before routine use.