Resolution raises a handful of sensible questions. This page answers them in order, starting with the fundamentals and moving to applications.
This page was last updated on 2026-08-01 and is reviewed periodically as new material appears.
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.
Method validation evaluates accuracy, precision, specificity, linearity, range, detection limit, quantitation limit, and robustness. Regulatory guidance for pharmaceuticals, foods, and environmental testing defines expected documentation and acceptance criteria. Verification confirms that a validated method works in a specific laboratory with its own instruments and reagents. Calibration curves use reference standards with known purity and traceability, while measurement uncertainty is estimated from validation data, control charts, and collaborative studies. The scope of validation depends on the method's intended use.
Routine quality control monitors retention time shifts, baseline noise, system pressure, and peak shape. Trends can reveal column aging, mobile phase preparation errors, detector drift, or sample degradation. Corrective actions may include replacing the column, preparing fresh mobile phase, or recalibrating the detector. Stability testing often uses HPLC to measure parent compound loss and degradation product formation. Open questions remain about how accelerated stability results extrapolate to long-term storage under varied conditions.
Quality control for HPLC testing combines scheduled checks, documented procedures, and review of results. Before sample analysis, system suitability testing confirms that the instrument, column, and method meet predefined criteria. Common criteria include resolution between critical peaks, retention time precision, peak tailing, and theoretical plate count. Failure triggers investigation before results are reported. Records link raw data, calculations, instrument logs, and analyst identity to each batch, supporting audits and repeat analysis.
| 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 |
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.
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.
Quality control laboratories use HPLC to check identity, purity, concentration, and stability of raw materials and finished products. A validated method specifies the column, mobile phase, flow rate, detection wavelength, injection volume, and run time. Samples are prepared and compared against reference standards of known concentration. The resulting chromatogram provides quantitative data, such as assay values and impurity levels. This approach is common in pharmaceutical, food, environmental, and industrial testing where consistent measurements are required.
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.
As of 2020 machine learning – and especially deep machine learning – has recently become more commonly used in phenotyping. Computer vision using machine learning has made great strides and is now being applied to leaf phenotyping and other phenotyping jobs typically performed by human eyes. Pound et al. 2017 and Singh et al. 2016 are prominent examples of early successful application and demonstration of the general usability of the process across multiple target plant species. These methods work better when provided with large, publicly available open data sets. Speed breeding is introduced by Watson et al. 2018. Classical (human performed) phenotyping during speed breeding is also possible, using a procedure developed by Richard et al. 2015. As of 2020 it is highly anticipated that SB and automated phenotyping will, combined, produce greatly improved outcomes – see Phenotyping and artificial intelligence above.
In healthy individuals, the cortisol level should increase above 18–20 μg/dl within 60 minutes on a 250 mcg cosyntropin stimulation test. For standardization across laboratories, the Short Synacthen Test is preferably performed in the morning (between 8:00 AM and 10:00 AM) to account for the diurnal peak of cortisol secretion. Baseline cortisol is drawn at time 0, with follow‑up samples at 30 minutes (and optionally 60 minutes) after administration of 250 μg synthetic ACTH. An adequate response is generally defined as a peak serum cortisol ≥ 500–550 nmol/L (approximately 18–20 μg/dL) or an increment ≥ 200 nmol/L, thresholds that improve diagnostic accuracy for adrenal insufficiency. Interpretation for primary adrenal insufficiency, Addison's disease In Addison's disease, both the cortisol and aldosterone levels are low, and the cortisol will not rise during the cosyntropin stimulation test.
Dmitri Leonidovich Romanowsky (sometimes spelled Dmitry and Romanowski, Russian: Дмитрий Леонидович Романовский; 1861–1921) was a Russian physician who is best known for his invention of an eponymous histological stain called Romanowsky stain. It paved the way for the discovery and diagnosis of microscopic pathogens, such as malarial parasites, and later developments of new histological stains that became fundamental to microbiology and physiology. While working on his doctoral research, Romanowsky developed the first effective staining method for malarial parasite in 1890. Using a specific mixture of mouldy methylene blue and eosin, he found that malarial parasites could be distinctively identified from other blood cell and within the red blood cells. The chemical reaction of such staining is known in chemistry as "Romanowsky effect". The method became the gold standard in malaria detection by microscopy and general immunohistochemistry. British zoologist and science historian, Francis Edmund Gabriel Cox remarked the discovery as a serendipitous case that became "one of the most significant technical advances in the history of parasitology."
According to the United States Geological Survey (USGS), 10,200 tonnes of bismuth were produced worldwide by mining and 17,100 tonnes by refining in 2016. Since then, USGS does not provide mining data for bismuth, considering them unreliable. Globally, bismuth is mostly produced by refining, as a byproduct of extraction of other metals such as lead, copper, tin, molybdenum, and tungsten, though the refining-to-mining ratio depends on the country. Bismuth travels in crude lead bullion (which can contain up to 10% bismuth) through several stages of refining, until it is removed by the Kroll-Betterton process, which separates the impurities as slag, or the electrolytic Betts process. Bismuth behaves similarly with another of its major metals, copper. The raw bismuth metal from both processes contains still considerable amounts of other metals, foremost lead. By reacting the molten mixture with chlorine gas, the metals are converted to their chlorides, while bismuth remains unchanged. Impurities can also be removed by various other methods, for example, with fluxes and treatments yielding high-purity bismuth metal (over 99% Bi).
Sources: en.wikipedia.org
== Foundation == Galway University Foundation (GUF) was established in 1998 with the intention of generating financial support for the university from private individuals and institutions. It nurtures relationships with donors for whom the university's approach to education appeals. The Foundation has many 'Priority Projects' in development.
== Genetics and strains == Mice are mammals of the clade (a group consisting of an ancestor and all its descendants) Euarchontoglires, which means they are amongst the closest non-primate relatives of humans along with lagomorphs, treeshrews, and flying lemurs.
H-DNA motifs have been shown to stimulate homologous recombination with different mechanisms. Initial implications for the role of H-DNA in recombination came in the early 1990s when observing RecA, a bacterial DNA recombination protein composed of triple-helix DNA. RecA exhibits enzymatic activity essential for recombination. Homologous recombination involving H-DNA motifs have also been found in eukaryotes. RadA, a homologous protein to RecA, has been shown to have the same enzymatic activity in recombination as RecA. The protein has the ability to promote and exchange homologous strands through parallel triple stranded helices. The single stranded DNA (ssDNA) and complementary double stranded DNA (dsDNA) will form a D-loop structure. Another possible mechanism for RecA involves the ssDNA from two separate H-DNA structures to form Watson-Crick base pairs. The new structure is known as a Holliday junction, an intermediate in homologous recombination. H-DNA is also found in other forms of recombination. In mammalian cells, H-DNA-sequences displayed a high frequency of recombination. For example, a study conducted on myeloma cell line of mice found H-DNA structures in Cγ2a and Cγ2b, which participate in sister chromatid exchange.
Sources: en.wikipedia.org
Xi Jinping was born on 15 June 1953 in Beijing as the third child of Xi Zhongxun and his second wife Qi Xin. A Chinese Communist Party (CCP) revolutionary, Xi's father held a series of posts after the founding of the People's Republic of China in 1949, including head of the Party Publicity Department, vice premier, and vice chairperson of the Standing Committee of the National People's Congress. Xi has two older sisters, Qi Qiaoqiao, born in 1949, and Qi An'an (齐安安), born in 1952. Xi's father was from Fuping County, Shaanxi. Xi went to Beijing Bayi School, where students were primarily the children of high-ranking military officials. In 1963, when Xi was ten years old, his father was purged from the CCP and sent to work in a factory in Luoyang, Henan. Following the start of the Cultural Revolution in 1966, Xi was persecuted due to his father's status. Student militants ransacked the Xi family home. His mother was forced to publicly denounce his father, as he was paraded before a crowd as an enemy of the revolution. After the Bayi School closed down in 1967, Xi was transferred to the Beijing No. 25 School. In 1968, when Xi was aged 15, his father was imprisoned. Xi left Beijing and arrived in Liangjiahe Village, Yan'an, Shaanxi in the Down to the Countryside Movement. At the time, Yan'an was one of the poorest places in the country. After a few months, unable to stand rural life, he ran away to Beijing. He was arrested during a crackdown on deserters from the countryside and sent to a work camp to dig ditches.
He was only arrested in 2006 after he returned to Russia, believing that the ten-year old case was closed. Felshtinsky and Pribylovsky claimed that Russia's security services, which had access to the chemical agent, had framed Khutsishvili for the murder, and that the security services had organised the murder on the orders of a senior Russian state official. Boris Kuznetsov, who represented Khutsishvili and believed in his innocence, blames "rogue intelligence officers". Leonid Rink, an employee of GosNIIOKhT, received a one-year suspended sentence for selling Novichok agents to unnamed buyers "of Chechen ethnicity" soon after the poisoning of Kivelidi and Izmailova.
== Therapeutic uses == Given that the endocannabinoid system maintains an internal balance in various body systems, cannabinoid receptor modulators, as compounds that interfere with the endocannabinoid system by interacting with its receptors, carry multiple therapeutic potentials. Cannabinoid receptor 1 (CBR1) are a potential target for treating pain and cognitive impairment. However, modulators of CBR1 (molecules that interact with CB1R) have limited medical use due to psychotropic side effects (e.g. depression and anxiety) associated with CB1R interference. As the activation of cannabinoid receptor 2 (CBR2) has no psychotropic effects, modulators of CB2R (molecules that interact with CB2R) are investigated for various therapeutic potentials. CB2 receptor agonist (molecules that stimulate the activity of the receptors) has been investigated as treatment for pain, inflammation, immune disorders and brain diseases, whereas CB2 inverse agonist or antagonist (molecules that inhibit the activity of the receptors) for weight loss, mental disorder and osteoporosis. Although the efficacy of cannabinoid receptor modulators is supported by preclinical evidence, only four cannabinoid receptor modulators are approved for therapeutic uses, with the rest under trials.
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.
System suitability is typically performed before each batch or according to the validated method and laboratory procedure. Some long runs include periodic checks during analysis. The required frequency depends on regulatory expectations and method performance.