If you have been reading about HPLC and want a single page that covers the useful parts, this is it: definitions, context, how it is studied, and the questions that come up repeatedly.
Updated 2025-10-22. Numbers and descriptions here follow the published literature rather than marketing material.
Measuring glutathione requires attention to oxidation during sample handling, because GSH in biological samples can convert to GSSG or form mixed disulfides with proteins after collection. Acidic extraction, rapid cooling, and chelating agents are commonly used to limit such changes. Analytical methods usually distinguish free reduced glutathione, total glutathione, and protein-bound forms. Because these forms have different stability and reactivity, reported values depend heavily on the preparation protocol. No single preparation is universally suitable for every biological matrix or analytical goal.
Several techniques are used for quantification. Enzymatic recycling assays rely on glutathione reductase and a colorimetric or fluorescent readout, offering sensitivity for total glutathione. High-performance liquid chromatography can separate GSH from GSSG and other thiols, often with UV, fluorescence, or electrochemical detection. Mass spectrometry provides structural confirmation and can quantify low-abundance species when paired with separation. Each approach has trade-offs in specificity, throughput, and equipment requirements, so method selection depends on the research question and available instrumentation.
Stability depends on pH, temperature, oxygen exposure, and trace metals. Aqueous solutions of reduced glutathione are susceptible to oxidation, especially when neutral or alkaline and exposed to air. Transition metal ions can catalyze thiol oxidation, so chelators and inert atmospheres are sometimes used in research settings. Standards are typically stored cold and desiccated, with limited freeze-thaw cycles. Questions remain about how closely in vitro stability data reflect the behavior of glutathione within intact cells and tissues.
Measuring glutathione requires attention to sample preparation because the molecule oxidizes readily. Blood, tissue, and cell samples are often treated with acid to precipitate proteins and stabilize the thiol. Without such steps, GSH can convert to GSSG or form mixed disulfides during storage. Analytical methods include spectrophotometric assays, high-performance liquid chromatography, and mass spectrometry. Each approach has different sensitivity, specificity, and susceptibility to interference from related compounds in complex matrices.
For solid glutathione, storage conditions affect shelf life. The reduced form is typically kept cool, dry, and protected from air and light. Moisture can promote oxidation, while elevated temperatures accelerate degradation. Suppliers often specify storage at or below freezing, sometimes under inert gas. Solutions are less stable than powders and may require preparation shortly before use. Buffers and chelating agents can slow oxidation, but they do not eliminate it. Published stability data vary with matrix, pH, and container.
Quality control for glutathione focuses on identity, purity, and oxidation state. Certificates of analysis may report assay value, water content, and the presence of GSSG or other impurities. Chromatographic purity is often expressed as a percentage of peak area. Reference standards help laboratories compare results across instruments and batches. Because glutathione is a small, polar molecule, separation from cysteine, gamma-glutamylcysteine, and related thiols can be challenging. Verification often combines more than one analytical technique.
| Property | Value | Notes |
|---|---|---|
| Reduced form | GSH | Main intracellular thiol |
| Oxidized form | GSSG | Disulfide dimer of two GSH molecules |
| Common separation method | Reversed-phase HPLC | Often with ion-pairing or derivatization |
| Typical detection | Fluorescence or mass spectrometry | UV detection is also used in some assays |
| Storage of standards | -20 °C or below, desiccated | Limit freeze-thaw and moisture exposure |
Glutathione is most stable as a dry powder stored cool and dry, but its thiol group is readily oxidized in solution. Aqueous preparations at neutral or alkaline pH lose GSH faster because the thiolate form reacts with dissolved oxygen and metal ions. Acidic conditions, chelating agents, and oxygen exclusion can slow oxidation, while repeated freeze-thaw cycles promote degradation. Light exposure and trace metals also contribute to loss. Laboratories typically validate stability for their own matrices because degradation rates depend on pH, temperature, concentration, and container materials.
Commercial glutathione is available in research-grade, food-grade, and supplement-grade forms, and purity specifications differ accordingly. Certificates of analysis commonly report identity by nuclear magnetic resonance or mass spectrometry, purity by HPLC, residual solvents, and heavy metals. Reference standards with assigned purity support calibration, while isotopically labeled glutathione can serve as an internal standard for mass spectrometry. For supplements, label claims may not be independently verified, and regulatory oversight varies by country. Verification often involves third-party testing for identity, potency, and contaminants.
For solid glutathione reagents, storage at low temperature and protection from moisture and light are typical precautions. Aqueous solutions can oxidize over time, and pH affects stability; alkaline conditions generally promote thiol oxidation. Some protocols prepare fresh solutions, while others use antioxidants or chelators to limit metal-catalyzed oxidation. Purity and counterion content can vary among commercial preparations, affecting concentration calculations. Certificates of analysis and validated assays help verify identity and purity.
Measuring glutathione in biological samples requires attention to oxidation, because GSH can convert to GSSG after sample collection. Blood and plasma samples are often treated with acid or alkylating agents to preserve the reduced form. Without stabilization, apparent GSH concentrations can fall while GSSG rises. Differences in sample type, handling delay, and deproteinization method can produce results that are not comparable across studies. Reporting preanalytical details is therefore important for interpreting findings.
Common analytical approaches include enzymatic recycling assays, high-performance liquid chromatography, and mass spectrometry. Enzymatic recycling measures total glutathione after converting GSSG back to GSH, while separation methods can quantify GSH and GSSG separately. Derivatization may be used to improve detection or stability during analysis. LC-MS/MS offers high specificity and can distinguish glutathione from related thiols and adducts. Each method has different sensitivity, throughput, and susceptibility to interference, so method selection depends on the study question and sample matrix.
Secondary structure prediction is a set of techniques in bioinformatics that aim to predict the local secondary structures of proteins based only on knowledge of their amino acid sequence. For proteins, a prediction consists of assigning regions of the amino acid sequence as likely alpha helices, beta strands (often termed extended conformations), or turns. The success of a prediction is determined by comparing it to the results of the DSSP algorithm (or similar e.g. STRIDE) applied to the crystal structure of the protein. Specialized algorithms have been developed for the detection of specific well-defined patterns such as transmembrane helices and coiled coils in proteins. The best modern methods of secondary structure prediction in proteins were claimed to reach 80% accuracy after using machine learning and sequence alignments; this high accuracy allows the use of the predictions as feature improving fold recognition and ab initio protein structure prediction, classification of structural motifs, and refinement of sequence alignments. The accuracy of current protein secondary structure prediction methods is assessed in weekly benchmarks such as LiveBench and EVA.
The eighth generation was released for the Japanese domestic market in June 1994 with front-wheel drive. The saloon version was again sold as the "Mazda Protegé" in North America, as the Mazda Artis in some South American markets, as the "Mazda Étude" in South Africa and as Mazda Allegro in Colombia. Originally there was a three-door coupé (323C/Familia Neo) available, but after sluggish sales, a hatchback version based on the facelifted Familia saloon replaced it. This generation grew considerably, with the four-door saloon's wheelbase only 5 millimetres short of the then-current Mazda 626, a mid-size car. The car was not originally offered with a 1.3-litre engine in Japan, with the lineup beginning with the bigger 1.5-litre. To close this gap in the lineup, the BG hatchback with the 1.3-litre engine was kept available until October 1996, when the new hatchback model was introduced (323P) and the smaller engine was made available. An unusual JDM station wagon model appeared in September 1994, with the discontinuation of the 1985-generation station wagon. The Mazda Familia Van offered after this year was a rebadged Nissan AD/Wingroad/Sunny California, which was essentially the station wagon version of the Nissan Sunny/Sentra/Pulsar (N14). A new model appeared in the same month, when a lean-burn version called the GS-L arrived: its Z5-DEL engine produces 94 PS (69 kW), three down on the regular Z5-DE, but gas mileage improved by ten to fifteen percent. Another loan was the 1.7-litre intercooled turbo-diesel engine purchased from Isuzu for use in saloons since October 1994.
== Epidemiology == While the exact incidence is unknown, estimates range from 33 - 57 percent of patients staying in the ICU for longer than 7 days. More exact data is difficult to obtain, since variation exists in defining the condition. The three main risk factors for CIP and CIM are sepsis and systemic inflammatory response syndrome (SIRS), and multi-organ failure. Reported rates of CIP/CIM in people with sepsis and SIRS range from 68 to 100 percent. Additional risk factors for developing CIP/CIM include: female gender, high blood sugar (hyperglycemia), low serum albumin, and immobility. A greater severity of illness increases the risk of CIP/CIM. Such risk factors include: multi-organ dysfunction, kidney failure, renal replacement therapy, duration of organ dysfunction, duration of ICU stay, and central neurologic failure. Certain medications are associated with CIP/CIM, such as corticosteroids, neuromuscular blocking agents, vasopressors, catecholamines, and intravenous nutrition (parenteral nutrition). Research has produced inconsistent results for the impact of hypoxia, hypotension, hyperpyrexia, and increased age on the risk of CIP/CIM. The use of aminoglycosides is not an independent risk for the development of CIP/CIM.
Sources: en.wikipedia.org
Gingras has published > 200 articles that have been cited > 35,000 times (Google Scholar; Feb 2020). In 2011, Gingras was named one of Canada's Top 100 Most Powerful Women. In 2015, Gingras was elected a fellow of the Royal Society of Canada. Her work on interaction proteomics, was awarded, alongside John Yates, the Discovery Award in Proteomics from the Human Proteome Organization (2019). She also received the Jeanne Manery Fisher Memorial Lecture award at the 2019 meeting of the Canadian Society for Molecular Biosciences.
Soy-based food products, such as soybeans, miso, tempeh, tofu, meatless soy burgers, and soy protein infant foods contain the highest amounts of isoflavones. According to a 2006 study of nine common phytoestrogens in Canadian foods, the highest relative phytoestrogen content were nuts and oilseeds, followed by soy products, cereals and breads, legumes, meat products, and other processed foods that may contain soy, vegetables, fruits, alcoholic, and nonalcoholic beverages. The highest concentrations of isoflavones are found in soybeans and soybean products followed by legumes, whereas lignans are the primary source of phytoestrogens found in nuts and oilseeds (e.g. flax) and also found in cereals, legumes, fruits and vegetables. Phytoestrogen content varies in different foods, and may vary significantly within the same group of foods (e.g. soy beverages, tofu) depending on processing mechanisms and type of soybean used. Legumes (in particular soybeans), whole grain cereals, and some seeds are high in phytoestrogens. Food content of phytoestrogens is highly variable, and accurate estimates of intake are therefore difficult and depends on the databases used. Data from the European Prospective Investigation into Cancer and Nutrition found intakes between 1 mg/d in Mediterranean Countries and more than 20 mg/d in the United Kingdom.
In the remote troposphere, hydrogen peroxide (H₂O₂) and methyl hydroperoxide (CH₃OOH) are among the most abundant hydroperoxides and act as reservoirs for HOx (OH + HO₂), buffering radical concentrations and tracing oxidation chemistry. Formation in the remote troposphere is dominated by peroxy-radical chemistry: HO₂ + HO₂ → H₂O₂ + O₂ and CH₃O₂ + HO₂ → CH₃OOH + O₂ Global aircraft observations during NASA's Atmospheric Tomography (ATom) mission show that their distributions reflect formation via peroxy-radical chemistry and are modulated by season and recent convection. Under atmospheric conditions, the reaction of organic peroxyl radicals (RO₂) with HO₂—an important source of ROOH—exhibits a generally negative temperature dependence, and its product branching competes with RO₂ autoxidation (isomerization) and RO₂+RO₂ channels. Many functionalized RO₂ types (for example, β-hydroxy or highly oxygenated RO₂) still lack good laboratory data on rates and products. Because of that, the predicted ROOH yields—and how they change with temperature—remain uncertain.
== Features == Each issue includes a "Making-of" article on a particular game, usually including an interview with one of the original developers. Issue 143 introduced the "Time Extend" series of retrospective articles. Like the "making-of" series, each focuses on a single game and, with the benefit of hindsight, gives an in-depth examination of its most interesting or innovative attributes. "Codeshop" examines more technical subjects such as 3D modelling programs or physics middleware, while "Studio Profile" and "University Profile" are single-page summaries ("like Top Trumps, but for game dev") of particular developers or publishers, and game-related courses at higher education institutions. Although an overall list of contributors is printed in each issue's indicia, the magazine typically has not used bylines to credit individual writers to specific reviews and articles, instead only referring to the anonymous Edge as a whole. Since 2014, some contributed features are credited with a byline. The magazine's regular columnists have been consistently credited throughout the magazine's run. The current columnists are James Leach, Clint Hocking and Tadhg Kelly. In addition, several columnists appear toward the beginning of the magazine to talk about the game industry as a whole, rather than focusing on specific game design topics. They are Trigger Happy author Steven Poole, Leigh Alexander, and Brian Howe, whose parody article section "You're Playing It Wrong" began with the new redesign.
Sources: en.wikipedia.org
Common methods include enzymatic recycling assays, liquid chromatography, and mass spectrometry. Many protocols separate reduced glutathione from its oxidized disulfide form before detection.
The ratio compares reduced glutathione with its oxidized dimer. It is used as an indicator of redox status, although the value depends strongly on sample handling and analytical method.
Glutathione can oxidize quickly after a sample is collected. Acidification, cooling, and chelators are often used to reduce artifactual changes before analysis.
Common methods include spectrophotometric enzyme cycling assays, HPLC with UV or fluorescence detection, and LC-MS/MS. Detection often requires derivatization because glutathione lacks a strong chromophore. Method choice depends on the sample type and the required sensitivity.