A practical reference on Method validation: what it is, how it behaves, what the literature reports, and where the honest uncertainties sit.
This page was last updated on 2026-05-13 and is reviewed periodically as new material appears.
Several separation modes exist, including reversed-phase, normal-phase, ion-exchange, size-exclusion, and hydrophilic interaction liquid chromatography. Reversed-phase uses a nonpolar stationary phase with a polar mobile phase and is widely applied to small organic molecules. Gradient elution changes mobile phase composition during the run, while isocratic elution keeps it constant. Column chemistry, particle size, temperature, flow rate, and mobile phase pH all influence retention and resolution. Method development selects conditions that separate analytes from matrix components and from each other.
Detection commonly uses ultraviolet-visible absorbance, fluorescence, refractive index, or mass spectrometry. Ultraviolet detection depends on molecular chromophores that absorb light at specific wavelengths. Mass spectrometry provides mass information and sensitive quantification, often after electrospray ionization. Before sample batches, performance checks examine resolution, elution time repeatability, peak symmetry, and plate count. Matrix effects and co-elution remain recognized uncertainties; formal validation studies and orthogonal detection help address them. Detector choice depends on analyte properties and required sensitivity.
High-performance liquid chromatography, or HPLC, separates dissolved compounds by passing a liquid mobile phase through a packed column. Components distribute differently between the stationary phase and the moving liquid, so they travel at different speeds and exit at different times. A detector records these eluting bands as peaks, and peak area or height relates to amount. The technique supports testing in pharmaceuticals, foods, environmental samples, and industrial chemicals. Quantification usually depends on calibration with known standards.
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.
| Property | Value | Notes |
|---|---|---|
| Column particle size | 3–5 µm for conventional HPLC; sub-2 µm for UHPLC | Smaller particles increase backpressure and efficiency. |
| Typical flow rate | 0.5–2.0 mL/min for a 4.6 mm internal diameter column | Flow scales with column diameter and particle size. |
| UV detection wavelength | 190–400 nm | Selection depends on analyte chromophore. |
| Column temperature | 25–40 °C | Temperature affects retention, selectivity, and pressure. |
| Injection volume | 1–20 µL | Larger volumes may distort early-eluting peaks. |
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.
HPLC testing separates dissolved compounds by passing a liquid sample through a column packed with stationary phase. A pump delivers mobile phase at controlled flow, and the sample components interact differently with stationary and mobile phases. Compounds that spend more time in mobile phase elute earlier; those retained by stationary phase elute later. Detectors record elution as peaks, and peak area or height relates to amount. This mechanism underpins quantitative analysis of mixtures.
Most routine HPLC testing uses reversed-phase columns, where the stationary phase is nonpolar and the mobile phase is a polar mixture such as water with an organic solvent. Analytes partition between the two phases according to polarity, size, and charge. Gradients that change solvent composition over time can separate compounds with broad retention ranges. Isocratic conditions keep solvent composition constant and suit simpler mixtures. The choice of column chemistry, pH, and temperature affects selectivity and peak shape.
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.
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.
=== Pharmacodynamics === Citalopram contains two pharmacodynamically distinct enantiomers: (S)-citalopram (escitalopram) and (R)-citalopram. (S)-citalopram is a highly selective serotonin reuptake inhibitor and is thought to be responsible for most of the SRI activity of citalopram. (R)-citalopram, by comparison, is a 20-fold less potent SERT inhibitor and antagonizes the actions of (S)-citalopram at this site. The mechanism of antagonism is uncertain, but may involve kinetic interactions between the two; it has been proposed that the long-lasting inhibited state of SERT induced by (S)-citalopram may be attenuated by (R)-citalopram binding. Citalopram has a ~6-fold higher affinity for H1 histamine receptors than (S)-citalopram (Ki = 257nM vs 1500nM), though the clinical significance of this difference is unknown. Both citalopram and escitalopram have similar affinities for the σ1 receptor (Ki = 50nM).
Brazil is a developing country with an upper-middle income mixed market economy that is rich in natural resources. It has the largest national economy in Latin America, the tenth largest economy in the world by nominal GDP, and the eighth largest by PPP. After rapid growth in preceding decades, Brazil entered a recession in 2014 amid a political corruption scandal and nationwide protests; in 2024, the economy began showing consistent significant growth. Brazil has a labor force of roughly 100 million, which is the world's fifth largest. Its foreign exchange reserves are the tenth-highest in the world. The B3 in São Paulo is the largest stock exchange of Latin America by market capitalization. Roughly one-fifth of Brazilians live in poverty: about 3.8% of the total population lives at $3.00 a day, while about 23% live at $8.30 a day. Brazil's economy suffers from endemic corruption and high income inequality. The Brazilian real is the national currency. Brazil's diversified economy includes agriculture, industry and a wide range of services. The large service sector accounts for about 72.7% of total GDP, followed by the industrial sector (20.7%), while the agriculture sector is by far the smallest, making up 6.6% of total GDP. Brazil is one of the largest producers of various agricultural commodities, and also has a large cooperative sector that provides 50% of the food in the country.
== External links == Top words from 2000 – present @ Global Language Monitor Word of the Year Archive @ Macquarie Dictionary Word of the Year Archive @ Merriam-Webster Word of the Year Archive @ OxfordWords blog Austrian Word of the Year Canadian Word of the Year Liechtenstein Word of the Year Switzerland Word of the Year Dictionary.com word of the year @ Dictionary.com
Sources: en.wikipedia.org
Korea is believed to be the first country in Asia that acupuncture spread to outside of China. Within Korea there is a legend that acupuncture was developed by emperor Dangun, though it is more likely to have been brought into Korea from a Chinese colonial prefecture in 514 AD. Acupuncture use was commonplace in Korea by the 6th century. It spread to Vietnam in the 8th and 9th centuries. As Vietnam began trading with Japan and China around the 9th century, it was influenced by their acupuncture practices as well. China and Korea sent "medical missionaries" that spread traditional Chinese medicine to Japan, starting around 219 AD. In 553, several Korean and Chinese citizens were appointed to re-organize medical education in Japan and they incorporated acupuncture as part of that system. Japan later sent students back to China and established acupuncture as one of five divisions of the Chinese State Medical Administration System. Acupuncture began to spread to Europe in the second half of the 17th century. Around this time, Willem ten Rhijne, a physician working for the Dutch East India Company, met Japanese acupuncture practitioners and later encouraged Europeans to further investigate it. He published the first in-depth description of acupuncture for the European audience and created the term "acupuncture" in his 1683 work De Acupunctura. France was an early adopter among the West due to the influence of Jesuit missionaries, who brought the practice to French clinics in the 16th century.
The essential oil of frankincense is produced by steam distillation of the tree resin. The oil's chemical components are 75% monoterpenes, sesquiterpenes, and ketones. Contrary to some commercial claims, steam distilled frankincense oils do not contain the insufficiently volatile boswellic acids (triterpenoids), although they may be present in solvent extractions. The chemistry of the essential oil is mainly monoterpenes and sesquiterpenes, such as A-pinene, limonene, and B-pinene. The terpenic smell of frankincense oil is described as "terpenic, incense, peppery, spicy, old wood, woody, pine, resinous, green".
== Biological function == The major tissues affected by progestogens include the uterus, vagina, cervix, breasts, testes, and brain. The main biological role of progestogens in the body is in the female reproductive system, and the male reproductive system, with involvement in regulation of the menstrual cycle, maintenance of pregnancy, and preparation of the mammary glands for lactation and breastfeeding following parturition in women; in men progesterone affects spermiogenesis, sperm capacitation, and testosterone synthesis. Progestogens also have effects in other parts of the body. Unlike estrogens, progestogens have little or no role in feminization.
Sources: en.wikipedia.org
Heat or ionizing irradiation can be used to kill the bacteria that cause decomposition. Heat is applied by cooking, blanching or microwave heating in a manner that pasteurizes or sterilizes fish products. Cooking or pasteurizing does not completely inactivate microorganisms and may need to be followed with refrigeration to preserve fish products and increase their shelf life. Sterilised products are stable at ambient temperatures up to 40 °C, but to ensure they remain sterilized they need packaging in metal cans or retortable pouches before the heat treatment.
===== MeSH D08.811.682.690 – oxygenases ===== MeSH D08.811.682.690.416 – dioxygenases MeSH D08.811.682.690.416.277 – catechol 1,2-dioxygenase MeSH D08.811.682.690.416.305 – catechol 2,3-dioxygenase MeSH D08.811.682.690.416.319 – cysteine dioxygenase MeSH D08.811.682.690.416.326 – homogentisate 1,2-dioxygenase MeSH D08.811.682.690.416.328 – 3-hydroxyanthranilate 3,4-dioxygenase MeSH D08.811.682.690.416.330 – 4-hydroxyphenylpyruvate dioxygenase MeSH D08.811.682.690.416.333 – indoleamine-pyrrole 2,3-dioxygenase MeSH D08.811.682.690.416.444 – lipoxygenase MeSH D08.811.682.690.416.444.050 – arachidonate lipoxygenases MeSH D08.811.682.690.416.444.050.055 – arachidonate 5-lipoxygenase MeSH D08.811.682.690.416.444.050.060 – arachidonate 12-lipoxygenase MeSH D08.811.682.690.416.444.050.065 – arachidonate 15-lipoxygenase MeSH D08.811.682.690.416.444.525 – protocatechuate 3,4-dioxygenase MeSH D08.811.682.690.416.722 – tryptophan oxygenase MeSH D08.811.682.690.562 – inositol oxygenase MeSH D08.811.682.690.708 – mixed function oxygenases MeSH D08.811.682.690.708.062 – benzoate 4-monooxygenase MeSH D08.811.682.690.708.125 – catechol oxidase MeSH D08.811.682.690.708.125.500 – monophenol monooxygenase MeSH D08.811.682.690.708.170 – cytochrome p-450 enzyme system MeSH D08.811.682.690.708.170.040 – aryl hydrocarbon hydroxylases MeSH D08.811.682.690.708.170.040.024 – 7-alkoxycoumarin o-dealkylase MeSH D08.811.682.690.708.170.040.050 – aniline hydroxylase MeSH D08.811.682.690.708.170.040.110 – benzopyrene hydroxylase MeSH D08.811.682.690.708.170.040.332 – cytochrome p-450 cyp1a1 MeSH D08.811.682.690.708.170.040.443 – cytochrome p-450 cyp1a2 MeSH D08.811.682.690.708.170.040.499 – cytochrome p-450 cyp2b1 MeSH D08.811.682.690.708.170.040.555 – cytochrome p-450 cyp2d6 MeSH D08.811.682.690.708.170.040.777 – cytochrome p-450 cyp2e1 MeSH D08.811.682.690.708.170.040.888 – cytochrome p-450 cyp3a MeSH D08.811.682.690.708.170.085 – camphor 5-monooxygenase MeSH D08.811.682.690.708.170.500 – alkane 1-monooxygenase MeSH D08.811.682.690.708.170.915 – steroid hydroxylases MeSH D08.811.682.690.708.170.915.050 – aldosterone synthase MeSH D08.811.682.690.708.170.915.099 – aromatase MeSH D08.811.682.690.708.170.915.200 – cholesterol 7 alpha-hydroxylase MeSH D08.811.682.690.708.170.915.212 – cholesterol side-chain cleavage enzyme MeSH D08.811.682.690.708.170.915.400 – 25-hydroxyvitamin d3 1-alpha-hydroxylase MeSH D08.811.682.690.708.170.915.720 – steroid 11-beta-hydroxylase MeSH D08.811.682.690.708.170.915.730 – steroid 12-alpha-hydroxylase MeSH D08.811.682.690.708.170.915.737 – steroid 16-alpha-hydroxylase MeSH D08.811.682.690.708.170.915.748 – steroid 17-alpha-hydroxylase MeSH D08.811.682.690.708.170.915.760 – steroid 21-hydroxylase MeSH D08.811.682.690.708.292 – dopamine beta-hydroxylase MeSH D08.811.682.690.708.392 – fatty acid desaturases MeSH D08.811.682.690.708.392.312 – beta-carotene 15,15'-monooxygenase MeSH D08.811.682.690.708.392.468 – Linoleoyl-CoA desaturase MeSH D08.811.682.690.708.392.625 – stearoyl-coa desaturase MeSH D08.811.682.690.708.401 – gamma-butyrobetaine dioxygenase MeSH D08.811.682.690.708.410 – heme oxygenase (decyclizing) MeSH D08.811.682.690.708.410.500 – heme oxygenase-1 MeSH D08.811.682.690.708.425 – 4-hydroxybenzoate 3-monooxygenase MeSH D08.811.682.690.708.557 – kynurenine 3-monooxygenase MeSH D08.811.682.690.708.601 – phenylalanine hydroxylase MeSH D08.811.682.690.708.660 – procollagen-lysine, 2-oxoglutarate 5-dioxygenase MeSH D08.811.682.690.708.673 – procollagen-proline dioxygenase MeSH D08.811.682.690.708.715 – prostaglandin-endoperoxide synthases MeSH D08.811.682.690.708.749 – squalene monooxygenase MeSH D08.811.682.690.708.783 – steroid hydroxylases MeSH D08.811.682.690.708.783.050 – aldosterone synthase MeSH D08.811.682.690.708.783.099 – aromatase MeSH D08.811.682.690.708.783.200 – cholesterol 7 alpha-hydroxylase MeSH D08.811.682.690.708.783.212 – cholesterol side-chain cleavage enzyme MeSH D08.811.682.690.708.783.400 – 25-hydroxyvitamin d3 1-alpha-hydroxylase MeSH D08.811.682.690.708.783.720 – steroid 11-beta-hydroxylase MeSH D08.811.682.690.708.783.730 – steroid 12-alpha-hydroxylase MeSH D08.811.682.690.708.783.737 – steroid 16-alpha-hydroxylase MeSH D08.811.682.690.708.783.745 – steroid 17-alpha-hydroxylase MeSH D08.811.682.690.708.783.760 – steroid 21-hydroxylase MeSH D08.811.682.690.708.826 – trans-cinnamate 4-monooxygenase MeSH D08.811.682.690.708.870 – tryptophan hydroxylase MeSH D08.811.682.690.708.923 – tyrosine 3-monooxygenase
The evolutionary role of opioid signalling in these behaviours was confirmed in dogs, chicks, and rats. Opioid receptors also have a role in mating behaviors. However, mu-opioid receptors do not just control social behaviour because they also make individuals feel relaxed in a wide range of other situations. Kappa- and delta-opioid receptors may be less associated with relaxation and analgesia because kappa-opioid receptor suppresses mu-opioid receptor activation, and delta-opioid receptor interacts differently with agonists and antagonists. Kappa-opioid receptors are involved in chronic anxiety's perceptual mobilization, whereas delta-opioid receptors induce action initiation, impulsivity, and behavioural mobilization. These differences led some researches to suggest that up- or down-regulations within three opioid receptors families are the basis of different dispositional emotionality seen in psychiatric disorders. Human-specific opioid-modulated cognitive features are not attributable to coding differences for receptors or ligands, which share 99% similarity with primates, but to regulatory changes in expression levels.
Sources: en.wikipedia.org
HPLC separates and quantifies compounds in a liquid sample. Detectors produce a response proportional to the amount of a compound passing through the flow cell. Identification by retention time requires comparison with a known standard.
UHPLC uses columns with smaller particles and operates at higher pressures than conventional HPLC. These conditions can improve speed, resolution, and sensitivity. Both techniques use the same fundamental separation principles.
Validation shows that a method performs reliably for its intended purpose across a defined range. It assesses accuracy, precision, specificity, linearity, and robustness. Regulated testing often requires documented validation before routine use.
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.