The short version of precision fits in a sentence. The long version — which is the one that helps — is below.
This page was last updated on 2026-03-12 and is reviewed periodically as new material appears.
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.
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.
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.
| 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 |
Reversed-phase chromatography dominates modern HPLC testing, using a nonpolar stationary phase such as chemically bonded octadecyl groups and a polar mobile phase of water mixed with organic solvent. Analytes partition between the mobile and stationary phases according to hydrophobicity. Gradient elution changes the mobile phase composition over time to separate compounds with a wide range of retention. Isocratic elution keeps the composition constant and is simpler for routine assays. Column temperature, pH, and flow rate influence selectivity, peak shape, and retention time, so these parameters are controlled during a validated method.
Detection in HPLC testing commonly relies on ultraviolet-visible absorbance, fluorescence, refractive index, or mass spectrometry. A diode array detector records full spectra across a wavelength range, which helps identify co-eluting peaks. Mass spectrometry provides mass-to-charge ratios and can confirm molecular identity at low concentrations. The choice of detector depends on analyte structure, required sensitivity, and whether quantitation or identification is the goal. No single detector works for every compound, and method development often compares responses before selecting one.
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.
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.
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.
In quality control laboratories, HPLC testing supports batch release, raw material checks, stability studies, and impurity profiling. A validated method defines sample preparation, instrument settings, calibration, and acceptance criteria. Analysts compare results with specifications and investigate out-of-specification outcomes before a batch is approved. Documentation includes chromatograms, integration records, audit trails, and reagent details. Because results influence product decisions, laboratories follow formal quality systems and data integrity rules. The exact tests and limits depend on the material, its intended use, and the applicable regulatory framework.
Method validation examines whether an HPLC procedure is suitable for its intended purpose. Common parameters include accuracy, precision, specificity, linearity, range, detection limit, quantification limit, and robustness. Accuracy describes closeness to a true or accepted value, while precision describes agreement among repeated measurements. Specificity shows whether the method can measure the analyte without interference from related substances. Robustness tests small deliberate changes in flow, temperature, or solvent composition. Validation is not a one-time event; methods may need partial revalidation after changes to instruments, columns, sample handling, or specification limits. Regulatory guidance provides frameworks, but some details remain method-specific.
== External links == "Tyrian Purple". World History Encyclopedia. Cooksey CJ (1994). "Making Tyrian purple". Dyes in History and Archaeology. 13: 7–13 (email the author for a copy). Archived from the original on 2020-07-26. Retrieved 2010-05-11. Source of article in author's Bibliography page. Guckelsberger M (December 2013). Purple Murex Dye in Antiquity (PDF) (Thesis). University of Iceland. "Tyrian purple". The Free Library. "Royal Purple of Tyre" (PDF).
0) Normal kidney function – GFR above 90 mL/min/1.73 m2 and no proteinuria 1) CKD1 – GFR above 90 mL/min/1.73 m2 with evidence of kidney damage 2) CKD2 (mild) – GFR of 60 to 89 mL/min/1.73 m2 with evidence of kidney damage 3) CKD3 (moderate) – GFR of 30 to 59 mL/min/1.73 m2 4) CKD4 (severe) – GFR of 15 to 29 mL/min/1.73 m2 5) CKD5 kidney failure – GFR less than 15 mL/min/1.73 m2 Some people add CKD5D for those stage 5 patients requiring dialysis; many patients in CKD5 are not yet on dialysis. Note: others add a "T" to patients who have had a transplant regardless of stage. Not all clinicians agree with the above classification, suggesting that it may mislabel patients with mildly reduced kidney function, especially the elderly, as having a disease. A conference was held in 2009 regarding these controversies by Kidney Disease: Improving Global Outcomes (KDIGO) on CKD: Definition, Classification and Prognosis, gathering data on CKD prognosis to refine the definition and staging of CKD.
=== Lawsuit === On June 17, 2026, former Matlock story editor and writer John Lowe filed a lawsuit against CBS Studios, showrunner Jennie Snyder Urman and executive producers Nicki Renna and Jeffrey Lieber for creating a "hostile work environment." He alleged that "racially stereotyped comments about his body and genitalia" were made toward him and other Black cast and crew members on the series. Lowe stated that he was fired in July 2025, after raising concerns about alleged racist and sexual comments made by Urman and accused the executive producers of allowing "sexually explicit and discriminatory conduct" to fester, such as late-night calls from Urman in her underwear, a perception of indentured servitude, racially offensive remarks about Juneteenth, Renna taking verbal swings at cast members and other staffers of the series, and a racially and sexually derogatory comment about guest star Eme Ikwuakor. In September 2026, it was reported that CBS was seeking to dismiss the lawsuit, claiming that the allegations were "fabrications and outright lies".
Sources: en.wikipedia.org
After the defeat of Prussia by Napoleon and the subsequent reorganisation of the Prussian state, the academy was merged on 3 August 1811 with the Protestant Viadrina University, previously located in Frankfurt (Oder), and re-established in Breslau as the Königliche Universität zu Breslau – Universitas litterarum Vratislaviensis (in 1911 named the Schlesische Friedrich-Wilhelms-Universität zu Breslau, to honour the founder Frederick William III of Prussia). At first, the conjoint academy had five faculties: philosophy, medicine, law, Protestant theology, and Catholic theology. Connected with the university were three theological seminars, a philological seminar, a seminar for German Philology, another seminar for Romanic and English philology, an historical seminar, a mathematical-physical one, a legal state seminar, and a scientific seminar. From 1842, the university also had a chair of Slavic Studies. The university had twelve different scientific institutes, six clinical centers, and three collections. An agricultural institute with ten teachers and forty-four students, comprising a chemical veterinary institute, a veterinary institute, and a technological institute, was added to the university in 1881. In 1884, the university had 1,481 students in attendance, with a faculty numbering 131.
== Cited literature == Dugan FM. (2011). Conspectus of World Ethnomycology. St. Paul, Minnesota: American Phytopathological Society. ISBN 978-0-89054-395-5. Arora, D. (1986). Mushrooms demystified: A comprehensive guide to the fleshy fungi, Berkeley: Ten Speed Press. pp. 83–103. Kibby, G. & Fatto, R. (1990). Keys to the species of Russula in northeastern North America, Somerville, NJ: Kibby-Fatto Enterprises. 70 pp. Weber, N. S. & Smith, A. H. (1985). A field guide to southern mushrooms, Ann Arbor: U Michigan P. 280 pp. Moser, M. (1978) Basidiomycetes II: Röhrlinge und Blätterpilze, Gustav Fischer Verlag Stuttgart. English edition: Keys to Agarics and Boleti... published by Roger Phillips, London. Partly translated from Dutch page.
==== Discovering supercivilizations ==== In the article On the Inevitability and the Possible Structure of Supercivilizations published in 1985, Kardashev evokes the possible scenarios and the means of investigation available to humanity for the detection of hypothetical extraterrestrial supercivilizations. The Soviet astronomer reminds us that we search for these supercivilizations on the basis of our own development criteria, and that predictions are possible only for extraterrestrial worlds close to our technological level, the others being beyond our intellectual representation. Nevertheless, it seems useful to him to conceive models of supercivilizations based at the same time on imagination and on our present scientific knowledge. Since the laws of physics are immutable, even if new laws are discovered in the future, they will not abolish those already known. According to Kardashev, theoretical models of supercivilizations must meet two basic assumptions. The first is that the range of supercivilization activities that obey the laws of physics is limited only by natural and scientific constraints, while the second is that the evolution of supercivilization activities cannot be interrupted or limited by intrinsic, inherent contingencies, such as large-scale social conflicts. For Kardashev, unlike other scientists, supercivilizations cannot self-destruct or retrogress.
David Crocker, a member of the ARPANET research community, writing in the Post, said, "The reports incorrectly credited [EMAIL's] author, a 14-year-old in the late 1970s, as the 'inventor' of email, long after it had become an established service on the ARPANET." Another computer historian, Marc Weber, a curator at the Computer History Museum, said that by 1978, "nearly all the features we're familiar with today had appeared on one system or another over the previous dozen years", including emoticons, mailing lists, and spam mail. After the controversy unfolded, MIT disassociated itself from Ayyadurai's EMAIL Lab and funding was dropped. MIT also revoked Ayyadurai's contract to lecture at the bioengineering department. Ayyadurai characterized the earlier work of Tomlinson, Tom Van Vleck and others as text messaging, rather than an electronic version of an interoffice mail system.
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 confirming that an HPLC procedure is suitable for its intended use. It evaluates accuracy, precision, specificity, linearity, range, detection limits, and robustness. Validation criteria depend on the regulatory context and the sample type.