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Sigma-Aldrich

Pyromellitic dianhydride

97%

Synonyme(s) :

Benzene-1,2,4,5-tetracarboxylic dianhydride, PMDA

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About This Item

Formule empirique (notation de Hill):
C10H2O6
Numéro CAS:
89-32-7
Poids moléculaire :
218.12
Numéro Beilstein :
213583
Numéro CE :
201-898-9
Numéro MDL:
MFCD00005005
Code UNSPSC :
12162002
ID de substance PubChem :
24865800
Nomenclature NACRES :
NA.23

Pureté

97%

Forme

powder

Point d'ébullition

397-400 °C (lit.)

Pf

283-286 °C (lit.)

Chaîne SMILES 

O=C1OC(=O)c2cc3C(=O)OC(=O)c3cc12

InChI

1S/C10H2O6/c11-7-3-1-4-6(10(14)16-8(4)12)2-5(3)9(13)15-7/h1-2H

Clé InChI

ANSXAPJVJOKRDJ-UHFFFAOYSA-N

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Catégories apparentées

Description générale

Pyromellitic dianhydride is a dianhydride class of monomers commonly used in the preparation of polyimides polymers which are used in aerospace, electronics, and automotive industries because of their excellent thermal stability, high mechanical strength, and inherent flame resistance. It is also used in the synthesis of thermoplastic polymers such as polyesters and polyethers, as well as plasticizers and epoxy resins. Additionally, PMDA serves as a curing agent for epoxy resins. Epoxy resins are widely used in adhesives, coatings, composites, and electrical insulation materials.

Pyromellitic dianhydride (PMDA) is an acidic anhydride that can be used as a repair agent and as a chain extender in the formation of polyethylene terephthalate (PET) based chain extensions. It is mainly used in the production of thermoplastics and other coating applications.

Application

PMDA can be used as:
  • A monomer to synthesize aromatic polyimides with excellent thermo-mechanical and chemical properties. These polymers find the applications in automotive and electronic industries.
  • A capping agent in the development of siloxane-based hybrid materials for potential usage in organic electronics.
  • A monomer in the preparation and modification of thin film composite membranes, which are used in water purification, gas separation, and biomedical devices.
  • A monomer in the synthesis of pyromellitic diimide-based copolymers as stable cathode active materials for lithium and sodium-ion batteries.

Pictogrammes

Health hazardCorrosion
GHS08,GHS05

Mention d'avertissement

Danger

Mentions de danger

H317,H318,H334

Classification des risques

Eye Dam. 1 - Resp. Sens. 1 - Skin Sens. 1

Code de la classe de stockage

11 - Combustible Solids

Classe de danger pour l'eau (WGK)

WGK 1

Point d'éclair (°F)

716.0 °F - closed cup

Point d'éclair (°C)

380 °C - closed cup

Équipement de protection individuelle

dust mask type N95 (US), Eyeshields, Faceshields, Gloves

Certificats d'analyse (COA)

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Jun-Xia Yu et al.
Bioresource technology, 110, 160-166 (2012-02-22)
Magnetic pyromellitic dianhydride (PMDA) modified sugarcane bagasse (SCB) was prepared by a situ co-precipitation method. Results showed that the magnetic modified SCB could be recycled easily by an applied magnetic field. Adsorption capacities of the magnetic sorbent for cationic dyes:
Yiwu Liu et al.
Polymers, 12(9) (2020-09-12)
A high-barrier polyimide (2,7-CPI) was synthesized through the polymerization of pyromellitic dianhydride (PMDA) and a novel diamine (2,7-CDA) containing carbazole moiety. The synthesized diamine and polyimide were fully characterized by elemental analyses, FTIR and NMR. The 2,7-CPI displays very attractive
Anastasia Anceschi et al.
Molecules (Basel, Switzerland), 25(13) (2020-07-08)
Carbon-based materials with different morphologies have special properties suitable for application in adsorption, catalysis, energy storage, and so on. Carbon spheres and carbon monoliths are also nanostructured materials showing promising results. However, the preparation of these materials often require the
Reparation of recycled acrylonitrile-butadiene-styrene by pyromellitic dianhydride: reparation performance evaluation and property analysis
Li Y, et al.
Polymer, 124(3), 41-47 (2017)
Wei Hu et al.
Technometrics : a journal of statistics for the physical, chemical, and engineering sciences, 62(2), 196-205 (2020-06-12)
We propose a novel linear discriminant analysis (LDA) approach for the classification of high-dimensional matrix-valued data that commonly arises from imaging studies. Motivated by the equivalence of the conventional LDA and the ordinary least squares, we consider an efficient nuclear
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