The short version of quality control fits in a sentence. The long version — which is the one that helps — is below.
This page was last updated on 2025-12-03 and is reviewed periodically as new material appears.
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.
Validation establishes that a method is suitable for its intended purpose. Typical parameters include accuracy, precision, specificity, linearity, range, limit of detection, limit of quantification, robustness, and stability of standards and samples. Acceptance criteria are defined in advance, and results are documented in a validation report. Regulatory guidance for pharmaceuticals, foods, and environmental testing differs, so the applicable framework must be identified. Ongoing verification uses control samples and trend charts after validation. Method transfer to another laboratory may require partial revalidation.
Routine quality control includes blanks, duplicates, spiked samples, and certified reference materials. Calibration curves are prepared with standards at several concentrations, and the detector response is checked for linearity. Carryover, column aging, mobile phase evaporation, and temperature drift can shift retention times or peak areas. Maintenance such as replacing seals, filters, and columns helps prevent failures. Records of injections, integration, and deviations support traceability. Audits may request raw data and instrument logs for each batch.
Developing an HPLC test begins with defining the analytes, matrix, and required reporting limits. Chemists select a separation mode, column chemistry, mobile phase composition, flow rate, and detection wavelength or mass transition. Experiments then adjust these variables to achieve adequate retention, resolution, and peak shape. System suitability tests confirm that the instrument and method perform consistently before sample analysis. Without suitable resolution, quantitative results may be unreliable. Preliminary runs often use scouting gradients to locate retention windows.
| Parameter | Typical acceptance criterion | Notes |
|---|---|---|
| Resolution | ≥ 1.5 | Baseline separation of adjacent peaks |
| Tailing factor | ≤ 2.0 | Peak symmetry measure |
| Theoretical plates | > 2000 | Column efficiency indicator |
| Injection repeatability | ≤ 2% RSD | Relative standard deviation for replicate injections |
| Linearity | r² ≥ 0.995 | Calibration curve over the working range |
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.
High-performance liquid chromatography is an analytical technique that separates components of a liquid sample by passing it 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 interaction with the stationary phase cause analytes to migrate at different rates. Detectors record elution as peaks, and a data system converts signals into a chromatogram. The method is suited to compounds that dissolve in a liquid and are not volatile enough for gas chromatography.
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.
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 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.
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.
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.
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.
Blood factors (Factor VIII and Factor IX) Thrombolytic agents (tissue plasminogen activator) Hormones (insulin, glucagon, growth hormone, gonadotrophins) Haematopoietic growth factors (Erythropoietin, colony-stimulating factors) Interferons (Interferons-α, -β, -γ) Interleukin-based products (Interleukin-2) Vaccines (Hepatitis B surface antigen) Monoclonal antibodies (Various) Additional products (tumour necrosis factor, therapeutic enzymes) Research and development investment in new medicines by the biopharmaceutical industry stood at $65.2 billion in 2008. A few examples of biologics made with recombinant DNA technology include: Many vaccines are grown in tissue cultures. Viral gene therapy involves artificially manipulating a virus to include a desirable piece of genetic material. Viral gene therapies using engineered plant viruses have been proposed to enhance crop performance and promote sustainable production.
While Aβ has been implicated in cancer development, prompting studies on a variety of cancers to elucidate the nature of its possible effects, results are largely inconclusive. Aβ levels have been assessed in relation to a number of cancers, including esophageal, colorectal, lung, and hepatic, in response to observed reductions in risk for developing Alzheimer's disease in survivors of these cancers. All cancers were shown to be associated positively with increased Aβ levels, particularly hepatic cancers. This direction of association however has not yet been established. Studies focusing on human breast cancer cell lines have further demonstrated that these cancerous cells display an increased level of expression of amyloid precursor protein. Adults with Down syndrome had accumulation of amyloid in association with evidence of Alzheimer's disease, including declines in cognitive functioning, memory, fine motor movements, executive functioning, and visuospatial skills.
Profilin allergy is significantly associated with respiratory allergy to grass pollen ( hay fever). After a person first becomes allergic to profilin through inhalation of grass or tree pollen, allergy to profilin-containing food and development of pollen-food syndrome occurs How often pollen-allergic people across Europe become profilin allergic varies widely; As of 1997, from about 5% of Swedish birch pollen–allergic people to 51% in Spanish people allergic to Mercurialis annua were profilin allergic. Profilin is the major allergen of certain food plants, for example, melon, orange, and soybean and thus allergy to melon, citrus fruits, tomato, and banana is a clinical marker of profilin hypersensitivity. As of 2018 there was no "solid therapeutic approach" to treat profilin allergy. As of 2018, the list of members of the profilin family identified as allergens contained:
Abraham White (March 8, 1908 – February 14, 1980) was a professor of biochemistry who made several important discoveries in his field during the middle of the 20th century and helped write a foundational textbook, Principles of Biochemistry, which was published in 1954. The book went through six editions before its authors retired. White was born in Cleveland, Ohio, to Morris and Lena White. His siblings were Essie and Julius ("Jay"). When he was about one year old, his family moved to Lafayette, Colorado, and then later to Denver. White earned his bachelor's and master's degrees at the University of Colorado and a Ph.D. degree in Physiological Chemistry at the University of Michigan in the laboratory of Howard B. Lewis. This was followed by a postdoctoral fellowship at the Yale School of Medicine with Hubert Bradford Vickery at the Connecticut Agricultural Experiment Station.
Sources: en.wikipedia.org
Using a linear regression analysis on a plot of corrected percent divergence (amino acid changes per 100 amino acids) as a function of date of divergence from humans for different MIPOL1 orthologs (see Fig.5), it is estimated that a 1% change in amino acids in the MIPOL1 protein takes 5.68 million years. MIPOL1 protein is evolving at a moderate rate relative to fast evolving protein such as fibrinogen alpha, and slow evolving proteins such as cytochrome C.
Jannie Hofmeyr published the first catalog of control patterns in metabolic control analysis (MCA). His doctoral research. concerned the use of graphical patterns to elucidate chains of interaction in metabolic regulation, later published in the European Journal of Biochemistry. In his thesis, he cataloged 25 patterns for various biochemical networks. In later work, his research group, together with Carl D Christensen and Johann Rohwer, developed a Python based tool called SymCA that was part of the PySCeSToolbox toolkit that could generate patterns automatically and symbolically from a description of the network. This software was used to generate the patterns shown below. The control equations, especially the numerators of the equations, can give information on the relative importance and routes by which perturbations travel through a biochemical network
In humans, it has been used to treat diarrhoea and enteritis caused by bacterial or protozoan infections, including traveler's diarrhoea, cholera, and bacteremic salmonellosis. In 2002, a journal article suggested its use in treatment of H. pylori infections in children. Furazolidone has also been used for giardiasis (due to Giardia lamblia), amoebiasis, and shigellosis, although it is not a first-line treatment. From the early 1970s, it has been used in China to treat peptic ulcers, where the mechanism is treatment of the causative Helicobacter pylori infection. As a veterinary medicine, furazolidone has been used with some success to treat salmonids for Myxobolus cerebralis infections. It has also been used in aquaculture. Since furazolidone is a nitrofuran antibiotic, its use in food animals is currently prohibited by the FDA under the Animal Medicinal Drug Use Clarification Act, 1994. Furazolidone is no longer available in the US. It is used to differentiate micrococci and staphylococci. It is believed to work by crosslinking of DNA.
In 2011, actor John Abraham responding to allegations that his face looked "puffy" from steroid use stated that he used "No steroids" and used protein and multivitamins. In a 2013 interview, British-Indian model Upen Patel also refutes ever taking steroids, and states that he was always athletic. In 2018, actor Sanjay Dutt refused the allegations that his 1990s physique was due to steroids use, arguing that back then both steroids and protein powders weren't widespread, Dutt saying that he relied only on diet. http://in.movies.yahoo.com/news-detail/17113/Stars-steroids-enhance-performance.html
In an effort to prevent incidents such as the disappearance of Malaysia Airlines Flight MH370, a new standard has been issued requiring all commercial aircraft to report their position every 15 minutes to air traffic controllers regardless of the country of origin. Introduced in 2016 by the ICAO, the regulation has no initial requirement for any new aircraft equipment to be fitted. The standard is part of a long-term plan, called the Global Aeronautical Distress and Safety System (GADSS), which will require new aircraft to be equipped with data broadcast systems that are in constant contact with air traffic controllers. The GADSS is similar to the Global Maritime Distress and Safety System (GMDSS) used for maritime safety.
Sources: en.wikipedia.org
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.
System suitability tests are short checks performed before or during an HPLC run to verify instrument and method performance. They often include resolution, tailing factor, theoretical plates, and injection precision. Results must meet predefined limits for sample data to be accepted.
HPLC retention time alone cannot definitively identify an unknown substance. A match with a reference standard under identical conditions provides supporting evidence. Confirmation typically requires mass spectrometry, nuclear magnetic resonance, or another orthogonal technique.
System suitability is a set of checks performed before and during a run to confirm that the instrument, column, and method work as expected. Common checks include resolution, tailing factor, theoretical plates, and relative standard deviation of replicate injections. Failure triggers troubleshooting or method adjustment.