Chelating agents are a class of chemical compounds that form stable complexes with metal ions.
These agents are widely used in various applications, including water treatment, metal extraction, and medical therapies.
Chelating agents work by binding to multiple coordination sites on a metal ion, effectively removing it from its native environment.
This process can be valuable for the management of metal toxicity, the sequestration of unwanted metals, and the enhancement of metal bioavailability.
Chelating agents exhibit a range of structural diversity and selectivity, allowing for targeted and efficient metal chelation.
Their versatility has made them an important tool in both industrial and biomedical settings.
Researchers can optimize their chelating agent studies by leveraging the power of PubCompare.ai's AI-driven protocol comparison platform, which helps identify the best protocols and products from the literature, preprints, and patents.
Most cited protocols related to «Chelating Agents»
The experimental protocol adopted for ROS detection is shown in Figure 1. For each subject, recruited for exercise procedure, capillary blood was taken from the fingertip before and after (immediately, 10, and 20 minutes) a constant-load exercise. In the antioxidant treatment, for each subject, capillary blood was drawn from the fingertip before and after R-thioctic acid administration (at 20, 40, 60, 90 minutes, 2, and 3 hours). Control sampling at rest, at the same interval time, was carried out on the same subjects two days before supplementation. For both experimental procedures, 50 μL of blood, collected in heparinized capillary tubes (Cholestech LDX, Germany), were analyzed (Figure 1(a)). Among spin trapping (otherwise labelled probe) molecules, suitable for biological utilization, 1-hydroxy-3-methoxycarbonyl-2,2,5,5-tetramethylpyrrolidine (CMH, Noxygen Science Transfer & Diagnostics, Germany) was adopted. A 1 mM CMH solution was prepared in buffer (Krebs-Hepes buffer (KHB) containing 25 μM deferroxamine methane-sulfonate salt (DF) chelating agent and 5 μM sodium diethyldithio-carbamate trihydrate (DETC)) at pH 7.4. Blood was immediately treated with CMH (1 : 1). 50 μL of the obtained solution was put in the glass EPR capillary tube (Noxygen Science Transfer & Diagnostics, Germany), that was placed inside the cavity of the e-scan spectrometer (Bruker, Germany) for data acquisition (Figure 1(b)). The actual amount of solution analyzed was chosen to fill the entire sensitive area of the resonator cavity. Acquisition EPR parameters were: microwave frequency = 9.652 GHz; modulation frequency: 86 kHz; modulation amplitude: 2.28 G; center field: 3456.8 G; sweep width: 60 G; microwave power: 21.90 mW; number of scans: 10; receiver gain: 3.17 · 101. Sample temperature was firstly stabilized and then kept at 37°C by the temperature and Gas controller “Bio III” unit, interfaced to the spectrometer. An example of the recorded EPR signal showing the triplet coming from the interaction of the 14N–OH group of CMH with the ROS oxygen unpaired electron (NOH + O2• → NO• + H2O2) is displayed in Figure 1(d). The radicals generated by the reaction of the probe with the blood radicals were acquired and the spectra sequentially recorded for about 5 min in order to calculate the ROS production rate. The EPR signal is proportional to the unpaired electron numbers and could, in turn, be transformed in absolute produced micromoles (μmol · min−1): the stable CP• (3-Carboxy-2,2,5,5-tetramethyl-1-pyrrolidinyloxy) radical signal was recorded in a separate session and used as reference. The high reproducibility of the EPR measurements is shown up in the plots reported in Figure 2. The data are referred to a couple of EPR measurement data (test I (open squares), test II (closed squares)) performed on blood capillary samples taken from the same healthy subject six hours apart. The data are expressed as arbitrary units and refer to EPR signal double integrals. The regression lines obtained from the collected data show an excellent correlation coefficient (R2 = 0.99) resulting in almost superimposable plots: test I (slope: 7.98, intercept: 15.49); test II (slope: 7.95, intercept: 15.95). About 0.5% discrepancy between the ROS absolute production (μmol · min−1) in the two tests was calculated.
Mrakic-Sposta S., Gussoni M., Montorsi M., Porcelli S, & Vezzoli A. (2012). Assessment of a Standardized ROS Production Profile in Humans by Electron Paramagnetic Resonance. Oxidative Medicine and Cellular Longevity, 2012, 973927.
The strains and plasmids used in this study are listed in Additional file 4: Table S3. E. coli strains were grown in Luria–Bertani medium at 37°C with shaking (180 rpm) or on solid growth medium, which contained 1.6% (w/v) agar. R. sphaeroides strains were cultivated at 32°C in 50-ml Erlenmeyer flasks containing 40 ml malate minimal medium (Additional file 4: Table S4) with continuous shaking at 140 rpm, resulting in a constant dissolved oxygen concentration of approximately 25–30 μM during the exponential phase. These growth conditions are designated as oxic growth. To achieve anoxic conditions, we used completely filled screw-cap Meplat bottles for liquid cultures, which were sealed with Parafilm and cultivated in the dark. The remaining oxygen was used up by the cultures within 60 seconds, as confirmed using an oxygen sensor. To allow anaerobic respiration, dimethyl sulphoxide (DMSO) was added as electron acceptor at a final concentration of 60 mM. Anoxic incubation over several days resulted in a final OD660 of approximately 0.5. Conditions of iron limitation were achieved by transferring R. sphaeroides into iron-limited malate minimal medium containing the iron chelator 2,2′-dipyridyl (30 μM; Merck KGaA) three times. Inductively coupled plasma mass spectrometry (ICP-MS) using an Agilent 7500ce spectrometer confirmed that the iron content was drastically reduced in iron-limited medium (from 140 mg l-1 to 16 mg l-1) [22 (link)]. When required, antibiotics were added to liquid or solid growth media at the following concentrations: spectinomycin (10 μg ml-1); kanamycin (25 μg ml-1); tetracycline (2 μg ml-1) (for R. sphaeroides); kanamycin (25 μg ml-1); and tetracycline (20 μg ml-1) (for E. coli).
Remes B., Berghoff B.A., Förstner K.U, & Klug G. (2014). Role of oxygen and the OxyR protein in the response to iron limitation in Rhodobacter sphaeroides. BMC Genomics, 15(1), 794.
Pseudoviruses were produced from 293T cells by transfecting at 1:1:1 ratio of plasmids expressing murine leukaemia virus gag/pol, arenaviral GP and pQCXIX transduction vector (BD Biosciences) expressing enhanced green fluorescent protein (EGFP), as described previously30 (link). Virus-containing culture supernatant was harvested two days later, and filtered through 0.45-μm filter disks. Anti-human TfR1 and anti-HLA-A,B,C antibodies were dialysed against PBS. Cells were incubated with each of these antibodies at the indicated concentrations for 30 min at 37 °C. Pseudoviruses were added, cells were washed 16 h after infection, and entry level was measured by flow cytometry. To study the effect of tranferrin on viral entry, pseudoviruses were produced in serum-free medium (FreeStyle; Invitrogen). The role of human TfR2 was assessed in BHK cells transfected with pCAGGS-human TfR2 plasmid complexed with Lipofectamine 2000 (Invitrogen). Transfected cells were infected the next day, and the infection level was assessed two days later. To study the role of iron in arenaviral infection, cells were incubated in complete medium containing indicated concentrations (1–3 μM) of the iron chelator deferoxamine (Sigma) for 24 h, or ferric ammonium citrate (30–100 μg ml-1) for 1 h. Cells were cooled on ice and infected with pseudoviruses by centrifugation (2,000g) at 4 °C for 30 min. Cells were washed, and GFP expression level was assessed 24 h (293T and HeLa cells) or 48 h (SLK cells) after infection.
Radoshitzky S.R., Abraham J., Spiropoulou C.F., Kuhn J.H., Nguyen D., Li W., Nagel J., Schmidt P.J., Nunberg J.H., Andrews N.C., Farzan M, & Choe H. (2007). Transferrin receptor 1 is a cellular receptor for New World haemorrhagic fever arenaviruses. Nature, 446(7131), 92-96.
The benchmark dataset (Supplementary Data S1) used in this work was established by extracting data on antioxidant peptides of length 2–30 amino acids both derived from different protein sources (e.g., fish40 (link) and dairy41 (link)) and synthetic42 (link), obtained from various published articles and from the BIOPEP-UWM43 (link) database. Each peptide was binary labelled for the two classes, free radical scavenger (FRS) and chelator. The classes were labelled 1 (positive) if their source had measured/indicated an activity and otherwise 0 (negative). This extraction resulted in; 696 antioxidant peptides (685 FRS and 81 chelating, 70 of which have both activities) and 218 non-antioxidant experimentally-validated peptides, as seen in Table 1. Furthermore, to diminish homology bias while training, sequences were removed from both the positive and negative peptides so that no pair had more than 90% identity44 (link). All sequence identities in this paper were calculated using the Needleman–Wunsch algorithm45 (link) with the parameters; 1 for identical, 0 for dissimilar, − 10 for opening and extending gaps and 0 for end gaps.
Overview over the benchmark dataset.
FRS
CheL
FRS/CheL
Non-AO
Random
Total
AOdb
615
11
70
218
500
1414
aodb < 90%
606
11
70
217
500
1404
FRS, CHEL, FRS/CHEL and NON-AO are all experimentally-validated peptides obtained from various papers. RANDOM consists of peptides derived from the UniProt46 (link) database, with lengths between 2–30 amino acids. AODB < 90% is the number of peptides after removal of sequences, so no pair has more than 90% identity. FRS free radical scavenger, CHEL chelator, FRS/CHEL both FRS and chelator, NON-AO non-antioxidant.
Additionally, 500 random peptides with lengths between 2–30 amino acids, with the same length distribution as the positive dataset were extracted from random proteins derived from the UniProt46 (link) database. It was ensured that none of these peptides were identical to any peptide in the positive dataset. This amounted to a final, balanced benchmark dataset of 1404 peptides, consisting of 687 FRS and chelators, 717 peptides termed non-antioxidant and a positive to negative ratio of 0.94 and 0.11 for FRS and chelators respectively. To improve generalization and achieve a robust accuracy of our model’s predictions on unobserved cases, a fivefold nested cross-validation approach was used29 (link). The fivefolds were created so that all folds contained similar number of positives and negatives, and FRS and chelators. Furthermore, a upper threshold for peptide identity was enforced, for any two peptides between different folds. Four partitions were made with a threshold of 60, 70, 80 or 90% identity between folds respectively.
Olsen T.H., Yesiltas B., Marin F.I., Pertseva M., García-Moreno P.J., Gregersen S., Overgaard M.T., Jacobsen C., Lund O., Hansen E.B, & Marcatili P. (2020). AnOxPePred: using deep learning for the prediction of antioxidative properties of peptides. Scientific Reports, 10, 21471.
FIG. 93 is a table summarizing embodiments of preservative gels of the present disclosure. Silk gels were cast with standard 2% silk solution and 100 mg L-ascorbic acid/15 mL solution with the addition of a preservative and chelating agent. The preservative added was Verstatil SL by Kinetic (Water, Sodium Levulinate, Potassium Sorbate) at 1.5% and the chelating agent was Dermofeel-PA3 by Kinetic (Sodium Phytate) at 0.1%. The addition of preservatives extended gelation time to 7 days. Gel is being observed for discoloration and integrity with L-ascorbic acid and ascorbic acid-2-glucoside gel comparisons.
US11878070B2. Silk-based moisturizer compositions and methods thereof (2024-01-23). Evolved By Nature, Inc. [US]. Inventors: Gregory H. Altman [US], Dylan S. Haas [US], Kevin T. Healy [US].
FIG. 93 is a table summarizing embodiments of preservative gels of the present disclosure. Silk gels were cast with standard 2% silk solution and 100 mg L-ascorbic acid/15 mL solution with the addition of a preservative and chelating agent. The preservative added was Verstatil SL by Kinetic (Water, Sodium Levulinate, Potassium Sorbate) at 1.5% and the chelating agent was Dermofeel-PA3 by Kinetic (Sodium Phytate) at 0.1%. The addition of preservatives extended gelation time to 7 days. Gel is being observed for discoloration and integrity with L-ascorbic acid and ascorbic acid-2-glucoside gel comparisons.
US11857663B2. Stable silk protein fragment compositions (2024-01-02). Evolved By Nature, Inc. [US]. Inventors: Gregory H. Altman [US], Rebecca L. Lacouture [US], Rachel Lee Dow [US], Rachel M. Lind [US], Dylan S. Haas [US].
FIG. 93 is a table summarizing embodiments of preservative gels of the present disclosure. Silk gels were cast with standard 2% silk solution and 100 mg L-ascorbic acid/15 mL solution with the addition of a preservative and chelating agent. The preservative added was Verstatil SL by Kinetic (Water, Sodium Levulinate, Potassium Sorbate) at 1.5% and the chelating agent was Dermofeel-PA3 by Kinetic (Sodium Phytate) at 0.1%. The addition of preservatives extended gelation time to 7 days. Gel is being observed for discoloration and integrity with L-ascorbic acid and ascorbic acid-2-glucoside gel comparisons.
US11857664B2. Stable silk protein fragment compositions (2024-01-02). Evolved By Nature, Inc. [US]. Inventors: Gregory H. Altman [US], Rebecca L. Lacouture [US], Rachel Lee Dow [US], Rachel M. Lind [US], Dylan S. Haas [US].
At the end of the experiment, all mice were anaesthetized with sodium pentobarbital (50 mg/kg) intraperitoneally. The eyes were removed to collect the blood samples in 5 mL Vacutainer tubes containing the chelating agent ethylene diamine tetraacetic acid (EDTA). The samples were centrifuged at 4 ℃ for 15 min, and plasma samples were collected and stored at − 80 °C. Serum random blood glucose and lipid profiles such as Total cholesterol (TC), total triglycerides (TG), High-density lipoproteins (HDL) and Low-density lipoproteins (LDL) were measured with an Abbott Architect c16000 instrument (The First Affiliated Hospital of Shantou University Medical College).
Chen L., Wang X.J., Chen J.X., Yang J.C., Ling L.i.n., Cai X.B, & Chen Y.S. (2023). Caffeine ameliorates the metabolic syndrome in diet-induced obese mice through regulating the gut microbiota and serum metabolism. Diabetology & Metabolic Syndrome, 15, 37.
Dithizone (Sigma-Aldrich, St Louis, MO, United States) is a zinc chelating agent, well-known to selectively stain pancreatic islets in a brownish red color. During islets purification and after 1 (T1), 14 (T14) and 28 days (T28) post-isolation, an aliquot of suspension of hPIs was stained with Dithizone to track the islet morphology during time and to observe the purity of preparation. 200 µL of Dithizone solution was added to 1 ml of islets suspension in culture media for 10 min at room temperature. Following incubation time, three washes in D-PBS 1X (Gibco) was performed and images were acquired using Zeiss light microscope at ×5 magnification.
Marchini A., Ciulla M.G., Antonioli B., Agnoli A., Bovio U., Visnoviz V., Bertuzzi F, & Gelain F. (2023). Long-term cultures of human pancreatic islets in self-assembling peptides hydrogels. Frontiers in Bioengineering and Biotechnology, 11, 1105157.
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BAPTA-AM is a calcium chelator that can be used to control intracellular calcium levels in biological systems. It functions by rapidly binding to and sequestering calcium ions within the cell.
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The PD-10 column is a size-exclusion chromatography column designed for desalting and buffer exchange of protein samples. It is commonly used to separate low molecular weight substances from high molecular weight compounds, such as proteins, in a rapid and efficient manner.
P-SCN-Bn-DOTA is a bifunctional chelating agent used for labeling proteins, peptides, and other biomolecules with radioisotopes for various applications. It contains a DOTA chelator and a benzyl isothiocyanate group for conjugation to target molecules.
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Fetal Bovine Serum (FBS) is a cell culture supplement derived from the blood of bovine fetuses. FBS provides a source of proteins, growth factors, and other components that support the growth and maintenance of various cell types in in vitro cell culture applications.
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EDTA is a chemical compound commonly used as a laboratory reagent. Its primary function is as a chelating agent, capable of binding to metal ions and forming stable complexes. EDTA is widely used in various analytical and experimental procedures to control the availability of metal ions in solutions.
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DMSO is a versatile organic solvent commonly used in laboratory settings. It has a high boiling point, low viscosity, and the ability to dissolve a wide range of polar and non-polar compounds. DMSO's core function is as a solvent, allowing for the effective dissolution and handling of various chemical substances during research and experimentation.
2,2′-dipyridyl is a chemical compound commonly used as a laboratory reagent. It serves as a chelating agent, capable of forming stable complexes with various metal ions. This property makes it a useful tool in analytical and synthetic chemistry applications.
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BAPTA-AM is a cell-permeable calcium chelator that can be used to study the role of calcium in cellular processes. It binds to calcium with high affinity and specificity, allowing for the modulation of intracellular calcium levels. The product is commonly used in research applications to investigate calcium-dependent signaling pathways and cellular responses.
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Bovine serum albumin (BSA) is a common laboratory reagent derived from bovine blood plasma. It is a protein that serves as a stabilizer and blocking agent in various biochemical and immunological applications. BSA is widely used to maintain the activity and solubility of enzymes, proteins, and other biomolecules in experimental settings.
Chelating agents come in a variety of types, each with unique properties and applications. Some of the most common include EDTA (ethylenediaminetetraacetic acid), which is widely used for water treatment and metal extraction. Citric acid is another versatile chelator often used in food and personal care products. Newer, more selective chelators like DTPA (diethylenetriaminepentaacetic acid) are commonly employed in medical therapies to manage metal toxicity. The specific type of chelating agent chosen depends on the target metal, the desired application, and the need for selectivity or biocompatibility.
Chelating agents work by forming stable complexes with metal ions, effectively trapping and removing them from their native environments. They achieve this by binding to multiple coordination sites on the metal, creating a 'claw-like' structure that encapsulates the ion. This process disrupts the metal's normal function and allows the chelator-metal complex to be safely eliminated from the body or an industrial process. The strength and selectivity of the chelation depend on factors like the chelator's structure and the properties of the target metal.
One key challenge in using chelating agents is identifying the most effective protocol for a given application. With a vast array of chelating agents and protocols available, it can be difficult to determine the optimal approach. This is where PubCompar.ai can be invaluable. The platform's AI-driven analysis can help researchers quickly screen the literature, preprints, and patents to pinpoint the most effective chelating agent protocols for their specific goals. By leveraging PubCompare.ai's cutting-edge tools, researchers can save time, improve reproducibility, and maximize the efficacy of their chelation-based studies and treatments.
PubCompare.ai's AI-driven protocol comparison platform is a powerful tool for optiminzing chelating agent research. The platform allows you to efficiently screen the vast literature on chelating agents, leveraging advanced AI to identify the most effective protocols and products. By comparing key metrics like effectiveness, selectivity, and reproducibility, PubCompare.ai can help you choose the best chelating agent approach for your specific needs. This can save you time, improve the quality of your research, and enhance the overall impact of your chelation-based studies and applications.
More about "Chelating Agents"
Chelating agents, a class of versatile chemical compounds, play a crucial role in diverse applications, from water treatment and metal extraction to medical therapies.
These remarkable agents form stable complexes with metal ions, effectively removing them from their native environments.
This process is invaluable for managing metal toxicity, sequestering unwanted metals, and enhancing metal bioavailability.
The structural diversity and selectivity of chelating agents allow for targeted and efficient metal chelation, making them an indispensable tool in both industrial and biomedical settings.
Researchers can leverage the power of PubCompare.ai's AI-driven protocol comparison platform to optimize their chelating agent studies, easily identifying the best protocols and products from the literature, preprints, and patents.
Chelating agents, such as BAPTA-AM, PD-10 column, P-SCN-Bn-DOTA, EDTA, Deferoxamine, and 2,2′-dipyridyl, are widely used in various applications.
FBS (Fetal Bovine Serum) and Bovine Serum Albumin (BSA) can also play a role in chelating agent studies.
DMSO (Dimethyl Sulfoxide) is another compound that may be utilized in conjunction with chelating agents.
By harnessing the insights and capabilities of PubCompare.ai, researchers can take their chelating agent research to new heights, unlocking the full potential of these remarkable compounds and driving innovation in fields ranging from environmental remediation to personalized medicine.