precision raises a handful of sensible questions. This page answers them in order, starting with the fundamentals and moving to applications.
Reviewed 2026-01-10. Anything still debated is marked as such rather than presented as settled.
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 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 |
|---|---|---|
| Accuracy | Recovery near 100% | Depends on acceptance criteria and matrix |
| Precision | Relative standard deviation | Often at or below 2% for replicate injections |
| Limit of detection | Signal-to-noise ratio 3:1 | Approximate and method-specific |
| Limit of quantitation | Signal-to-noise ratio 10:1 | Confirmed by precision and accuracy |
| Resolution | 1.5 or greater | Typical system suitability target |
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.
Data handling and documentation are central to HPLC quality control. Electronic systems should have audit trails that record changes to methods, sequences, and results. Integration parameters, such as peak baseline and threshold, can affect reported areas and must be defined in advance. Out-of-specification results trigger a structured investigation that may include reanalysis, instrument checks, and review of sample preparation. Regulatory inspections often examine raw data, audit trails, and training records to verify that reported results are traceable and reliable.
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.
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.
Opioids bind with neural opioid receptors to provoke analgesic, sedative, and euphoric effects. Opioids function by stimulating specific G-protein coupled receptors distributed throughout the body—including the brain, skin and spinal cord. Three of the major opioid receptors include mu, kappa, delta, and nociception, each playing a role in eliciting the effects associated with opioids. An opioid overdose results from over-activation of these receptors, which can cause permanent brain damage from cerebral hypoxia or neurotoxicity. Mu receptors have an analgesic effect on the brain, and are found in various parts of the nervous system including the cerebral cortex and thalamus. They can be found in the nucleus accumbens, the pleasure centre of the brain, as well as the amygdala. Kappa receptors, in the hypothalamus, produce a similar analgesic effect. They bind with dynorphins to stimulate anti-reward effects (dysphoria) and other negative effects of withdrawal. While mu receptors are the source of addiction, kappa receptors contribute to continued use. They generate dysphoria in response to increasing stress levels via corticotropin-releasing factor (CRF). This increases erratic shifts in mood during the withdrawal period and can prompt relapse. Delta receptors, found in the basal ganglia of the limbic system, have been shown to reduce anxiety by binding with enkephalins, although this requires further research. The most recent addition to these receptors are nociception opioid receptors.
==== First-pass effect and differences ==== Oral testosterone and oral testosterone undecanoate are not hepatotoxic, unlike orally administered 17α-alkylated anabolic steroids such as methyltestosterone and fluoxymesterone but similarly to parenteral routes and forms of bioidentical testosterone like injections.
== Metabolome databases == Because an organism's metabolome is largely defined by its genome, different species will have different metabolomes. Indeed, the fact that the metabolome of a tomato is different from the metabolome of an apple is the reason why these two fruits taste so different. Furthermore, different tissues, different organs and biofluids associated with those organs and tissues can also have distinctly different metabolomes. The fact that different organisms and different tissues/biofluids have such different metabolomes has led to the development of a number of organism-specific and biofluid-specific metabolome databases. Some of the better known metabolome databases include the Human Metabolome Database or HMDB, the Yeast Metabolome Database or YMDB, the E. coli Metabolome Database or ECMDB, the Arabidopsis metabolome database or AraCyc as well as the Urine Metabolome Database, the Cerebrospinal Fluid (CSF) Metabolome Database and the Serum Metabolome Database. The latter three databases are specific to human biofluids. A number of very popular general metabolite databases also exist including KEGG, MetaboLights, the Golm Metabolome Database, MetaCyc, LipidMaps and Metlin. Metabolome databases can be distinguished from metabolite databases in that metabolite databases contain lightly annotated or synoptic metabolite data from multiple organisms while metabolome databases contain richly detailed and heavily referenced chemical, pathway, spectral and metabolite concentration data for specific organisms.
Sources: en.wikipedia.org
=== Supreme Council of Colon === Cassard departed from New York City and arrived in the port of Santiago de Cuba in December 1859, personally despatched by Albert Pike. When he arrived in the city, he never left the ship. Since there was an active warrant for his arrest in Cuba, he was afraid that if he did disembark, he might have been taken into custody and executed. On December 27, 1859, in the cabin of his ship, Andrés Cassard established a Supreme Council of the Ancient and Accepted Scottish Rite, 33°, at the direction of the Supreme Council, 33°, Southern Jurisdiction. The first Grand Commander of the Supreme Council was Antonio Vinent y de Gola, V Marqués de Palomares del Duero, one of the wealthiest property owners in Oriente Province. He had earned the title of Marquis in the service of the government against the independence movement. In 1860, a rift started to form between the Grand Lodge of Colon and the Supreme Council of Colon. This rift between the Supreme Council and the Grand Lodge was about more than the ability to charter Lodges, it was deeply rooted in the different political ideologies between Protestants and Catholics. While Freemasons in the capitol in Havana maintained closer links to the United States, the Eastern city of Santiago de Cuba was much closer culturally to the Catholicism in the rest of Latin America. Being predominately Catholic landowners, the Supreme Council viewed the Grand Lodge as one filled with Protestantism and Anglo-Saxon ideas.
It has been long observed that the licking of their wounds by dogs might be beneficial. Indeed, a dog's saliva is bactericidal against the bacteria Escherichia coli and Streptococcus canis, although not against coagulase-positive Staphylococcus or Pseudomonas aeruginosa. Wound licking is also important in other animals. Removal of the salivary glands of mice and rats slows wound healing, and communal licking of wounds among rodents accelerates wound healing. Communal licking is common in several primate species. In macaques, hair surrounding a wound and any dirt is removed, and the wound is licked, healing without infection. An Elizabethan collar may be used on pet animals to prevent them from biting an injury or excessively licking it, which can cause a lick granuloma. These lesions are often infected by pathogenic bacteria such as Staphylococcus intermedius. Horses that lick wounds may become infected by a stomach parasite, Habronema, a type of nematode worm. The rabies virus may be transmitted between animals, such as the kudu antelopes by wound licking of wounds with residual infectious saliva.
Alendronic acid or Alendronate, sold under the brand name Fosamax among others, is a bisphosphonate medication used to treat osteoporosis and Paget's disease of bone, which works by decreasing the activity of osteoclasts, the cells that break down bone. It is taken by mouth as the neutral sodium salt, alendronate sodium, but is absorbed as the active free drug alendronic acid. Use is often recommended together with vitamin D, calcium supplementation, and lifestyle changes. Common side effects (1 to 10% of patients) include constipation, abdominal pain, nausea, and acid reflux; though the rate of all side effects were found by the Fracture Intervention Trial, which followed 2,027 women with osteoporosis for three years, to be nearly identical to that of the placebo. The study further found that the risk of a serious upper gastrointestinal adverse event was 60% lower (p<0.01) for the drug versus the placebo. Use is not recommended during pregnancy or in those with poor kidney function. Alendronic acid was first described in 1978 and approved for medical use in the United States in 1995 as alendronate sodium (Fosamax). It is available as a generic medication. In 2023, it was the 113th most commonly prescribed medication in the United States, with more than 5 million prescriptions.
=== Articles === As of 2025, Google Scholar reports that he has been cited 300,459 times, has an h-index of 207 and an i10-index of 1,261. Bhatt has authored or co-authored over 2,250 publications and has been listed by the Web of Science Group as a highly cited researcher from 2014 to 2024. Bhatt's most cited, peer-reviewed articles reported by Google Scholar include:
Sources: en.wikipedia.org
Validation establishes suitability for a new method, while verification confirms that a method works in a specific laboratory. Verification is often used when a validated method is adopted with existing equipment and staff. Both rely on documented acceptance criteria.
Quantification usually compares detector response to a standard curve made from reference standards. The curve may be external, internal, or based on standard addition depending on matrix effects. Results are reported with units and, when required, uncertainty.
Carryover occurs when analyte from a previous injection remains in the system and appears in a later chromatogram. It can come from the injector, column, or tubing. Blank injections and needle washes help detect and reduce it.
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.