The short version of Stationary phase fits in a sentence. The long version — which is the one that helps — is below.
Reviewed 2025-09-19. Anything still debated is marked as such rather than presented as settled.
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.
Instrumentation includes a solvent delivery system, an autosampler, a column oven, and one or more detectors. Reversed-phase columns with chemically modified silica are widely used, but normal-phase, ion-exchange, size-exclusion, and affinity modes exist for specific separations. Detectors may rely on ultraviolet absorbance, fluorescence, refractive index, or mass spectrometry. Column temperature, mobile phase composition, and flow rate are adjusted to improve resolution. System pressure is monitored because rising pressure can indicate column blockage or deteriorating packing.
Separation modes differ by the chemistry of the stationary phase and the composition of the mobile phase. Reversed-phase testing uses a nonpolar column and polar solvents, making it common for pharmaceutical, environmental, and food analytes. Normal-phase testing uses a polar column and nonpolar solvents for compounds that are poorly retained in reversed-phase systems. Ion-exchange and ion-pair methods separate charged species, while size-exclusion methods sort molecules by hydrodynamic volume. Gradient elution changes solvent strength over time to resolve complex mixtures, and isocratic elution holds solvent composition constant for simpler assays.
Key performance measures include retention time, peak area, peak height, resolution, tailing factor, and plate count. Retention time helps identify a peak under fixed conditions, but confirmation often requires a second method or detector. Peak area and height relate to concentration through calibration curves, which may be linear or nonlinear depending on the detector response. Resolution describes separation between adjacent peaks, while tailing factor and plate count describe peak shape and column efficiency. Performance checks verify these values before and during a run to confirm that the instrument is performing within limits.
High-performance liquid chromatography testing separates components of a liquid sample by forcing a mobile phase through a packed column. The stationary phase inside the column interacts with analytes to different degrees, so each compound exits at a characteristic retention time. A pump delivers solvent at controlled flow and pressure, while an injector introduces a precise sample volume. Detectors such as ultraviolet-visible, fluorescence, refractive index, or mass spectrometric instruments record the separated bands. The resulting chromatogram provides qualitative and quantitative information about the mixture.
| Property | Value | Notes |
|---|---|---|
| Separation principle | Differential partitioning | Analytes distribute between mobile and stationary phases. |
| Mobile phase | Liquid solvent mixture | Composition controls retention and selectivity. |
| Stationary phase | Packed column particles | Often chemically bonded silica. |
| Typical detector | UV-Vis or photodiode array | Mass spectrometry is also common. |
| Common synonym | High-performance liquid chromatography | Abbreviated as HPLC. |
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.
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.
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.
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.
Quality control samples are inserted at intervals to monitor accuracy and precision throughout a batch. Blank samples detect contamination, while spiked samples assess recovery from the sample matrix. Calibration standards establish the relationship between detector response and concentration, and control samples are prepared independently from them whenever possible. Laboratories also participate in proficiency testing and maintain audit trails, instrument logs, and reagent records. Ongoing review of control charts can reveal trends before they cause out-of-specification results.
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.
Documentation and traceability are central to regulated HPLC testing. Records typically include instrument logs, column history, mobile-phase preparation, sample preparation, injection sequences, raw chromatograms, and audit trails. Electronic systems may require user access controls, time-stamped changes, and backup procedures. Training records show that analysts are qualified for assigned methods. Audits and inspections check whether written procedures match actual practice and whether deviations are documented. These controls support reproducibility and allow results to be reconstructed if questions arise later.
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.
COVID-19 apps include mobile-software applications for digital contact-tracing—i.e. the process of identifying persons ("contacts") who may have been in contact with an infected individual—deployed during the COVID-19 pandemic. Numerous tracing applications have been developed or proposed, with official government support in some territories and jurisdictions. Several frameworks for building contact-tracing apps have been developed. Privacy concerns have been raised, especially about systems that are based on tracking the geographical location of app users. Less overtly intrusive alternatives include the co-option of Bluetooth signals to log a user's proximity to other cellphones. (Bluetooth technology has form in tracking cell-phones' locations.)) On 10 April 2020, Google and Apple jointly announced that they would integrate functionality to support such Bluetooth-based apps directly into their Android and iOS operating systems. India's COVID-19 tracking app Aarogya Setu became the world's fastest growing application—beating Pokémon Go—with 50 million users in the first 13 days of its release. (Full article...)
== M == Maize – first cultivated in present-day Mexico several thousand years ago, corn is currently the most cultivated grain in the world with the US being the largest cultivator of maize followed by mainland China. Over 700 million tons of maize are grown worldwide annually today in order to feed people and animals. In addition, ethanol extracted from corn is also used to fuel engines in millions of vehicles, thousands of planes, and other engines throughout the world. Manioc – Native Americans were the first peoples in the world to cultivate manioc. Maple syrup and maple sugar – indigenous Americans were the first to extract the sap from maple trees and convert the sap into maple syrup and maple sugar. Martial arts - several Native American groups have developed styles of martial arts, such as the Mapuche style of Kollellaulliñ. Mathematics – the Olmec and the Maya–who succeeded the Olmec–independently developed the concept of zero (independent of the ancient Hindus in India) in mathematics. The ancient Mexicans also developed complex arithmetic functions and operations such as additions, subtractions, divisions, and multiplications. The development of mathematics by the Mexicans assisted them in making sense of the universe, cosmos, astronomy, architecture, and pre-Columbian calendars that were so essential in maintaining a connection between them and the gods and heavens. Metallurgy in pre-Columbian America – many pre-Columbian cultures, especially the Moche in the Andean regions were skilled metallurgists.
==== MeSH D13.695.667 – purine nucleotides ==== MeSH D13.695.667.138 – adenine nucleotides MeSH D13.695.667.138.124 – adenosine diphosphate MeSH D13.695.667.138.124.070 – adenosine diphosphate sugars MeSH D13.695.667.138.124.070.075 – adenosine diphosphate glucose MeSH D13.695.667.138.124.070.125 – adenosine diphosphate ribose MeSH D13.695.667.138.124.070.125.040 – o-acetyl-adp-ribose MeSH D13.695.667.138.124.070.125.195 – cyclic adp-ribose MeSH D13.695.667.138.180 – adenosine monophosphate MeSH D13.695.667.138.180.080 – adenosine phosphosulfate MeSH D13.695.667.138.236 – adenosine triphosphate MeSH D13.695.667.138.236.050 – adenylyl imidodiphosphate MeSH D13.695.667.138.236.250 – ethenoadenosine triphosphate MeSH D13.695.667.138.382 – coenzyme a MeSH D13.695.667.138.382.300 – acyl coenzyme a MeSH D13.695.667.138.382.300.020 – acetyl coenzyme a MeSH D13.695.667.138.382.300.500 – malonyl coenzyme a MeSH D13.695.667.138.382.300.700 – palmitoyl coenzyme a MeSH D13.695.667.138.395 – cyclic amp MeSH D13.695.667.138.395.225 – 8-bromo cyclic adenosine monophosphate MeSH D13.695.667.138.395.250 – bucladesine MeSH D13.695.667.138.410 – deoxyadenine nucleotides MeSH D13.695.667.138.506 – flavin-adenine dinucleotide MeSH D13.695.667.138.694 – nad MeSH D13.695.667.138.749 – nadp MeSH D13.695.667.138.850 – phosphoadenosine phosphosulfate MeSH D13.695.667.138.925 – vidarabine phosphate MeSH D13.695.667.454 – guanine nucleotides MeSH D13.695.667.454.160 – cyclic gmp MeSH D13.695.667.454.160.325 – dibutyryl cyclic gmp MeSH D13.695.667.454.200 – deoxyguanine nucleotides MeSH D13.695.667.454.340 – guanosine diphosphate MeSH D13.695.667.454.340.350 – guanosine diphosphate sugars MeSH D13.695.667.454.340.350.400 – guanosine diphosphate fucose MeSH D13.695.667.454.340.350.500 – guanosine diphosphate mannose MeSH D13.695.667.454.440 – guanosine pentaphosphate MeSH D13.695.667.454.480 – guanosine tetraphosphate MeSH D13.695.667.454.504 – guanosine triphosphate MeSH D13.695.667.454.504.380 – guanosine 5'-o-(3-thiotriphosphate) MeSH D13.695.667.454.504.400 – guanylyl imidodiphosphate MeSH D13.695.667.454.525 – 5'-guanylic acid MeSH D13.695.667.454.700 – rna caps MeSH D13.695.667.454.700.710 – rna cap analogs MeSH D13.695.667.616 – inosine nucleotides MeSH D13.695.667.616.300 – cyclic imp MeSH D13.695.667.616.400 – inosine diphosphate MeSH D13.695.667.616.500 – inosine monophosphate MeSH D13.695.667.616.800 – inosine triphosphate
The addition of the cyano group generally increases the potency. Therefore, researchers' attention was directed to those compounds. Usually, DPP-4 inhibitors are either substrate-like or non-substrate-like.
Sources: en.wikipedia.org
By the mid-1900s, lichenologists were already exploiting chemical traits for classification—decades before such methods reached vascular plant taxonomy. Because many lichens synthesize distinctive secondary metabolites (specialized compounds including lichen products unique to these organisms), workers devised simple spot tests in which reagents applied to the thallus yield diagnostic colour changes. The technique dates to the 1860s, but by 1951, the tests were routine. Elke Mackenzie listed K (potassium hydroxide solution), C (sodium hypochlorite), and Pd (p-phenylenediamine) as key diagnostic reagents because species often differ in their colour reactions. For example, a yellow K reaction usually signals the presence of the common metabolite atranorin, whereas a deep-red Pd reaction suggests certain depsidones. The chemical toolbox expanded sharply with the adoption of thin-layer chromatography (TLC) in the late 1960s. Chicita F. Culberson's Chemical and Botanical Guide to Lichen Products (1969) laid out a reproducible protocol for separating trace compounds from minute thallus chips, making TLC profiles a standard component of species descriptions. David Hawksworth's 1976 synthesis went a step further by integrating metabolite patterns into family‑ and order‑level frameworks, demonstrating that chemistry could diagnose natural groups and foreshadowing the molecular phylogenies that would follow. Chemical tests revealed cryptic diversity beneath outwardly uniform lichens.
== Further reading == Luig, H.; Kellerer, A. M.; Griebel, J. R. (2011). "Radionuclides, 1. Introduction". Ullmann's Encyclopedia of Industrial Chemistry. doi:10.1002/14356007.a22_499.pub2. ISBN 978-3527306732.
In December 2019, the US Food and Drug Administration (FDA) announced that it learned that some metformin medicines manufactured outside the United States might contain a nitrosamine impurity called N-nitrosodimethylamine (NDMA), classified as a probable human carcinogen, at low levels. Health Canada announced that it was assessing NDMA levels in metformin. The European Medicines Agency provided an update on NDMA in metformin. In February 2020, the FDA found NDMA levels in some tested metformin samples that did not exceed the acceptable daily intake. In February 2020, Health Canada announced a recall of Apotex immediate-release metformin, followed in March by recalls of Ranbaxy metformin and in March by Jamp metformin. In May 2020, the FDA asked five companies to voluntarily recall their sustained-release metformin products. The five companies were not named, but they were revealed to be Amneal Pharmaceuticals, Actavis Pharma, Apotex Corp, Lupin Pharma, and Marksans Pharma Limited in a letter sent to Valisure, the pharmacy that had first alerted the FDA to this contaminant in metformin via a Citizen Petition. In June 2020, the FDA posted its laboratory results showing NDMA amounts in metformin products it tested. It found NDMA in certain lots of ER metformin and is recommending companies recall lots with levels of NDMA above the acceptable intake limit of 96 nanograms per day. The FDA is also collaborating with international regulators to share testing results for metformin.
Sources: en.wikipedia.org
HPLC separates and detects individual compounds in a liquid sample, producing peaks at characteristic retention times. Peak area or height can be used to estimate concentration when calibrated with known standards. It does not identify unknown compounds with certainty unless additional detectors or reference materials are used.
Pressure drives the liquid mobile phase through a column packed with small particles. Without pressure, flow would be very slow or stop because the packed bed resists liquid movement. Modern pumps maintain a steady flow despite the resistance.
A chromatogram is a plot of detector signal against time after sample injection. Each peak represents a compound or group of compounds eluting from the column. Retention time and peak area are the main measurements read from the plot.
It measures the amounts and identities of compounds in liquid samples by separation and detection. Depending on the detector and reference standards, results can be qualitative or quantitative. The technique is used in fields such as pharmaceutical analysis, food safety, and environmental monitoring.