Home>>Signaling Pathways>> Proteases>> Endogenous Metabolite>>Undecanedioic acid

Undecanedioic acid Sale

(Synonyms: 十一烷二酸) 目录号 : GC31574

Undecanedioic acid (1,9-Nonanedicarboxylic acid, Undecanedionate) is a long-chain dicarboxylic acid that has applications in corrosion inhibitors, hot melt adhesives, high performance polyamides/Nylon, and more.

Undecanedioic acid Chemical Structure

Cas No.:1852-04-6

规格 价格 库存 购买数量
1g
¥884.00
现货

电话:400-920-5774 Email: sales@glpbio.cn

Customer Reviews

Based on customer reviews.

Sample solution is provided at 25 µL, 10mM.

产品文档

Quality Control & SDS

View current batch:

产品描述

Undecanedioic acid (1,9-Nonanedicarboxylic acid, Undecanedionate) is a long-chain dicarboxylic acid that has applications in corrosion inhibitors, hot melt adhesives, high performance polyamides/Nylon, and more.

Chemical Properties

Cas No. 1852-04-6 SDF
别名 十一烷二酸
Canonical SMILES OC(=O)CCCCCCCCCC(O)=O
分子式 C11H20O4 分子量 216.28
溶解度 Soluble in DMSO 储存条件 Store at -20°C
General tips 请根据产品在不同溶剂中的溶解度选择合适的溶剂配制储备液;一旦配成溶液,请分装保存,避免反复冻融造成的产品失效。
储备液的保存方式和期限:-80°C 储存时,请在 6 个月内使用,-20°C 储存时,请在 1 个月内使用。
为了提高溶解度,请将管子加热至37℃,然后在超声波浴中震荡一段时间。
Shipping Condition 评估样品解决方案:配备蓝冰进行发货。所有其他可用尺寸:配备RT,或根据请求配备蓝冰。

溶解性数据

制备储备液
1 mg 5 mg 10 mg
1 mM 4.6236 mL 23.1182 mL 46.2364 mL
5 mM 0.9247 mL 4.6236 mL 9.2473 mL
10 mM 0.4624 mL 2.3118 mL 4.6236 mL
  • 摩尔浓度计算器

  • 稀释计算器

  • 分子量计算器

质量
=
浓度
x
体积
x
分子量
 
 
 
*在配置溶液时,请务必参考产品标签上、MSDS / COA(可在Glpbio的产品页面获得)批次特异的分子量使用本工具。

计算

动物体内配方计算器 (澄清溶液)

第一步:请输入基本实验信息(考虑到实验过程中的损耗,建议多配一只动物的药量)
给药剂量 mg/kg 动物平均体重 g 每只动物给药体积 ul 动物数量
第二步:请输入动物体内配方组成(配方适用于不溶于水的药物;不同批次药物配方比例不同,请联系GLPBIO为您提供正确的澄清溶液配方)
% DMSO % % Tween 80 % saline
计算重置

Research Update

Impact of the Dicarboxylic Acid Chain Length on Intermolecular Interactions with Lidocaine

Acid-base multicomponent systems have become a popular choice as a strategy to fine-tune the physicochemical properties of active pharmaceutical ingredients. Current prediction tools based on the principles of anticrystal engineering cannot always accurately predict the nature of intermolecular interactions within a multicomponent system. Even small changes in the physicochemical parameters of parent components can result in unexpected outcomes, and many salt, cocrystal, and ionic liquid forms are still being discovered empirically. In this work, we aimed to establish structural consistency in a series of mixtures comprising lidocaine (LID) with decanedioic, undecanedioic, dodecanedioic, and tridecanedioic acids and to explore how length and flexibility of the acid carbon backbone affect the molecular recognition, crystallization, and thermal behavior of the expected binary systems. We found that neat grinding of LID with dicarboxylic acids results in the formation of eutectic phases. The observed eutectic melting points deviated from the ideal eutectic temperatures predicted by the Schroeder van Laar model because of hydrogen bonding between the reacting components within the mixtures. Furthermore, thermal and infrared analysis provided evidence for the possible formation of new phases stemming from partial ionization of the counterions. Besides, the structure of a previously undetermined form I of the tridecanedioic acid was solved by single crystal X-ray diffraction.

Metabolic engineering for the production of dicarboxylic acids and diamines

Microbial production of chemicals and materials from renewable carbon sources is becoming increasingly important to help establish sustainable chemical industry. In this paper, we review current status of metabolic engineering for the bio-based production of linear and saturated dicarboxylic acids and diamines, important platform chemicals used in various industrial applications, especially as monomers for polymer synthesis. Strategies for the bio-based production of various dicarboxylic acids having different carbon numbers including malonic acid (C3), succinic acid (C4), glutaric acid (C5), adipic acid (C6), pimelic acid (C7), suberic acid (C8), azelaic acid (C9), sebacic acid (C10), undecanedioic acid (C11), dodecanedioic acid (C12), brassylic acid (C13), tetradecanedioic acid (C14), and pentadecanedioic acid (C15) are reviewed. Also, strategies for the bio-based production of diamines of different carbon numbers including 1,3-diaminopropane (C3), putrescine (1,4-diaminobutane; C4), cadaverine (1,5-diaminopentane; C5), 1,6-diaminohexane (C6), 1,8-diaminoctane (C8), 1,10-diaminodecane (C10), 1,12-diaminododecane (C12), and 1,14-diaminotetradecane (C14) are revisited. Finally, future challenges are discussed towards more efficient production and commercialization of bio-based dicarboxylic acids and diamines.

Identification of unknown impurity of azelaic acid in liposomal formulation assessed by HPLC-ELSD, GC-FID, and GC-MS

The identification of new contaminants is critical in the development of new medicinal products. Many impurities, such as pentanedioic acid, hexanedioic acid, heptanedioic acid, octanedioic acid, decanedioic acid, undecanedioic acid, dodecanedioic acid, tridecanedioic acid, and tetradecanedioic acid, have been identified in samples of azelaic acid. The aim of this study was to identify impurities observed during the stability tests of a new liposomal dosage form of azelaic acid that is composed of phosphatidylcholine and a mixture of ethyl alcohol and water, using high-performance liquid chromatography with evaporative light-scattering detector (HPLC-ELSD), gas chromatography-flame ionisation detection (GC-FID), and gas chromatography-mass spectrometry (GC-MS) methods. During the research and development of a new liposomal formulation of azelaic acid, we developed a method for determining the contamination of azelaic acid using HPLC-ELSD. During our analytical tests, we identified a previously unknown impurity of a liposomal preparation of azelaic acid that appeared in the liposomal formulation of azelaic acid during preliminary stability studies. The procedure led to the conclusion that the impurity was caused by the reaction of azelaic acid with one of the excipients that was applied in the product. The impurity was finally identified as an ethyl monoester of azelaic acid. The identification procedure of this compound was carried out in a series of experiments comparing the chromatograms that were obtained via the following chromatographic methods: HPLC-ELSD, GC-FID, and GC-MS. The final identification of the compound was carried out by GC with MS.

Dicarboxylic acids affect the growth of dermatophytes in vitro

Azelaic acid is a dicarboxylic acid with known antimycotic activity. In this study we have used an agar dilution technique to test the effect of six other dicarboxylic acids (sebacic, undecanedioic, dodecanedioic, tridecanedioic, tetradecanedioic and hexadecanedioic acid, 10(-4)-10(-2) mol/l, pH 5.5) on in vitro growth of Trichophyton (T.) rubrum, T. mentagrophytes and Microsporum (M.) canis. Furthermore, the fungicidal activity of 10(-2) mol/l undecanedioic and sebacic acid was tested using a T. rubrum growth assay. Undecanedioic acid proved fungistatic at 10(-2) mol/l for all species and fungicidal for T. rubrum. A minor fungistatic effect on T. rubrum and T. mentagrophytes was also seen with the other acids at this concentration. M. canis was inhibited only by high concentrations of four acids, whereas low concentrations of all six agents resulted in enlarged thallus diameters. We conclude that among dicarboxylic acids fungistatic activity is not limited to azelaic acid. Undecanedioic acid appears promising for further investigations.

Zika virus infection modulates the metabolomic profile of microglial cells

Zika virus (ZIKV) is an emerging arbovirus of the Flaviviridae family. Although infection with ZIKV generally leads to mild disease, its recent emergence in the Americas has been associated with an increase in the development of the Guillain-Barré syndrome in adults, as well as with neurological complications, in particular congenital microcephaly, in new-borns. To date, little information is available on neuroinflammation induced by ZIKV, notably in microglial cells in the context of their metabolic activity, a series of chemical transformations that are essential for their growth, reproduction, structural maintenance and environmental responses. Therefore, in the present study we investigated the metabolomic profile of ZIKV-infected microglia. Microglial cells were exposed to ZIKV at different time points and were analyzed by a Liquid Chromatography-High Resolution mass spectrometry-based metabolomic approach. The results show that ZIKV infection in microglia leads to modulation of the expression of numerous metabolites, including lysophospholipids, particulary Lysophosphatidylcholine, and phospholipids such as Phosphatidylcholine, Phosphatidylserine, Ceramide and Sphingomyelin, and carboxylicic acids as Undecanedioic and Dodecanedioic acid. Some of these metabolites are involved in neuronal differentiation, regulation of apoptosis, virion architecture and viral replication. ZIKV infection was associated with concomitant secretion of inflammatory mediators linked with central nervous system inflammation such as IL-6, TNF-α, IL-1β, iNOS and NO. It also resulted in the upregulation of the expression of the gene encoding CX3CR1, a chemokine receptor known to regulate functional synapse plasticity and signaling between microglial cells. These findings highlight an important role for microglia and their metabolites in the process of neuroinflammation that occurs during ZIKV pathogenesis.