Retention time raises a handful of sensible questions. This page answers them in order, starting with the fundamentals and moving to applications.
Reviewed 2025-12-16. Anything still debated is marked as such rather than presented as settled.
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.
Separation in HPLC depends on the chemistry of the stationary phase, the composition of the mobile phase, and the physical properties of the column. Reverse-phase separations use a nonpolar stationary phase and a polar mobile phase, and they are common for many organic compounds. Ion-exchange, size-exclusion, and normal-phase modes serve other classes of analytes. Gradient elution changes solvent strength over time, while isocratic elution holds it constant. Flow rate, temperature, particle size, and column length all influence peak shape and resolution. Detection may use ultraviolet absorbance, fluorescence, refractive index, or mass spectrometry, depending on the analyte and the required sensitivity.
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.
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.
| Property | Value | Notes |
|---|---|---|
| Common abbreviation | HPLC | High-performance liquid chromatography |
| Separation basis | Differential partitioning | Between liquid mobile phase and solid stationary phase |
| Common mode | Reverse phase | Nonpolar column, polar mobile phase |
| Typical detector | UV-Vis absorbance | Widely used for compounds with chromophores |
| Typical column particle size | 2–5 µm | Smaller particles can improve resolution |
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.
High-performance liquid chromatography, or HPLC, separates dissolved compounds by passing a liquid mobile phase through a packed column. Components distribute differently between the stationary phase and the moving liquid, so they travel at different speeds and exit at different times. A detector records these eluting bands as peaks, and peak area or height relates to amount. The technique supports testing in pharmaceuticals, foods, environmental samples, and industrial chemicals. Quantification usually depends on calibration with known standards.
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.
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 cellular response in signal transduction cascades involves alteration of the expression of effector genes or activation/inhibition of targeted proteins. Regulation of protein activity mainly involves phosphorylation/dephosphorylation events, leading to its activation or inhibition. It is the case for the vast majority of responses as a consequence of the binding of the primary messengers to membrane receptors. This response is quick, as it involves regulation of molecules that are already present in the cell. On the other hand, the induction or repression of the expression of genes requires the binding of transcriptional factors to the regulatory sequences of these genes. The transcriptional factors are activated by the primary messengers, in most cases, due to their function as nuclear receptors for these messengers. The secondary messengers like DAG or Ca2+ could also induce or repress gene expression, via transcriptional factors. This response is slower than the first because it involves more steps, like transcription of genes and then the effect of newly formed proteins in a specific target. The target could be a protein or another gene.
In molecular biology, ATP10 protein (mitochondrial ATPase complex subunit ATP10) is an ATP synthase assembly factor. It is essential for the assembly of the mitochondrial F1-F0 complex. A yeast nuclear gene (ATP10) encodes a product that is essential for the assembly of a functional mitochondrial ATPase complex. Mutations in ATP10 induce a loss of rutamycin sensitivity in the mitochondrial ATPase, but do not affect the respiratory enzymes. ATP10 has a molecular weight of 30,293 Da and its primary structure is not related to any known subunit of the yeast or mammalian mitochondrial ATPase complexes. ATP10 is associated with the mitochondrial membrane. It is suggested that the ATP10 product is not a subunit of the ATPase complex but rather a protein required for the assembly of the F0 sector of the complex.
Currently, there are 10 ACE inhibitors approved for use in the United States by the FDA: captopril (1981), enalapril (1985), lisinopril (1987), benazepril (1991), fosinopril (1991), quinapril (1991), ramipril (1991), perindopril (1993), moexipril (1995) and trandolapril (1996). ACE inhibitors are easily identifiable by their common suffix, '-pril'. ACE inhibitors can be divided into three groups based on their molecular structure of the enzyme binding sites (sulfhydryl, phosphinyl, carboxyl) to the active center of ACE: Alacepril Captopril (trade name Capoten), the first ACE inhibitor. Zofenopril These agents appear to show antioxidative properties but may be involved in adverse events such as skin eruptions. This is the largest group, including:
A particular challenge in analysing AlphaFold models is distinguishing genuine topology from structural prediction artefacts. A high confidence score does not by itself guarantee that a predicted chain crossing is correct, and incorrect modelling of termini or flexible regions may change the calculated topology. AlphaKnot 2.0 therefore provides several measures intended to help evaluate a predicted knot, including the pLDDT values of the complete chain and knot core, the confidence near the boundaries of the knot core, and detection of unusually close contacts between Cα atoms. Users can also compare AlphaFold predictions with independently generated ESMFold models for shorter proteins. Because automated analysis at the scale of the AlphaFold database cannot be manually verified structure by structure, AlphaKnot 2.0 introduced a user annotation system. Database entries can be assessed by users as a knot, artifact, or unsure, allowing potentially incorrect predictions to be flagged for further consideration.
Sources: en.wikipedia.org
An analgesic, also called an antalgic, painkiller, or pain reliever, is any member of the group of drugs used for pain management. Analgesics are conceptually distinct from anesthetics, which temporarily reduce, and in some instances eliminate, sensation, although analgesia and anesthesia are neurophysiologically overlapping and thus various drugs have both analgesic and anesthetic effects. Analgesic choice is also determined by the type of pain: For neuropathic pain, recent research has suggested that classes of drugs that are not normally considered analgesics, such as tricyclic antidepressants and anticonvulsants may be considered as an alternative. Various analgesics, such as many NSAIDs, are available over the counter in most countries, whereas various others are prescription drugs owing to the substantial risks and high chances of overdose, misuse, and addiction in the absence of medical supervision.
People can also develop CJD because they carry a mutation of the gene that codes for the prion protein (PRNP), located on chromosome 202p12-pter. This occurs in only 10–15% of all CJD cases. In sporadic cases, the misfolding of the prion protein is a process that is hypothesized to occur as a result of the effects of aging on cellular machinery, explaining why the disease often appears later in life. An EU study determined that "87% of cases were sporadic, 8% genetic, 5% iatrogenic and less than 1% variant." Testing for CJD has historically been problematic, due to the nonspecific nature of early symptoms and difficulty in safely obtaining brain tissue for confirmation. The diagnosis may initially be suspected in a person with rapidly progressing dementia, particularly when it is also found with the characteristic medical signs and symptoms such as involuntary muscle jerking, difficulty with coordination/balance and walking, and visual disturbances. Further testing can support the diagnosis and may include:
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:
Network Science, Part 5: Solvent-Accessible Surfaces AREAIMOL is a command line tool in the CCP4 Program Suite for calculating ASA. NACCESS solvent accessible area calculations. FreeSASA Open source command line tool, C library and Python module for calculating ASA. Surface Racer Oleg Tsodikov's Surface Racer program. Solvent accessible and molecular surface area and average curvature calculation. Free for academic use. ASA.py — a Python-based implementation of the Shrake-Rupley algorithm. Michel Sanner's Molecular Surface – the fastest program to calculate the excluded surface. pov4grasp render molecular surfaces. Molecular Surface Package — Michael Connolly's program. Volume Voxelator — A web-based tool to generate excluded surfaces. ASV freeware Analytical calculation of the volume and surface of the union of n spheres (Monte-Carlo calculation also provided). Vorlume Computing Surface Area and Volume of a Family of 3D Balls. GetArea Calculate solvent accessible surface area of proteins online. ProMS ProMS - Protein Molecular Surface Calculator
Corin converts the atrial natriuretic peptide (ANP) precursor, pro-ANP, to mature ANP, a cardiac hormone that regulates salt-water balance and blood pressure. In mice, corin deficiency prevents pro-ANP processing and causes salt-sensitive hypertension. Corin may also function as a pro-brain-type natriuretic peptide convertase. Corin-mediated ANP production in the pregnant uterus promotes spiral artery remodeling and trophoblast invasion. CORIN mutations have been reported in patients with preeclampsia. In mice, corin functions in the dermal papilla to regulate coat color in an Agouti-dependent pathway.
Sources: en.wikipedia.org
HPLC testing measures the presence and amount of one or more compounds in a liquid sample. It separates mixture components and records detector responses as peaks, which are compared with reference standards. Results are usually reported as concentrations or relative percentages.
Retention time is the interval between sample injection and the detector response for a given compound. It depends on the compound's interactions with the stationary and mobile phases under set conditions. Matching a retention time to a standard supports tentative identification but is not always unique.
HPLC alone can separate unknown compounds and provide retention times, but it often cannot identify them with certainty. Coupling HPLC to mass spectrometry gives mass information that improves identification. Confirmation usually requires comparison with reference standards or complementary techniques.
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.