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Sigma-Aldrich

Pyromellitic dianhydride

97%

Synonym(s):

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

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About This Item

Empirical Formula (Hill Notation):
C10H2O6
CAS Number:
89-32-7
Molecular Weight:
218.12
Beilstein:
213583
EC Number:
201-898-9
MDL number:
MFCD00005005
UNSPSC Code:
12162002
PubChem Substance ID:
24865800
NACRES:
NA.23

Assay

97%

form

powder

bp

397-400 °C (lit.)

mp

283-286 °C (lit.)

SMILES string

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

InChI key

ANSXAPJVJOKRDJ-UHFFFAOYSA-N

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General description

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.

Pictograms

Health hazardCorrosion
GHS08,GHS05

Signal Word

Danger

Hazard Statements

H317,H318,H334

Hazard Classifications

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

Storage Class Code

11 - Combustible Solids

WGK

WGK 1

Flash Point(F)

716.0 °F - closed cup

Flash Point(C)

380 °C - closed cup

Personal Protective Equipment

dust mask type N95 (US), Eyeshields, Gloves

Certificates of Analysis (COA)

Search for Certificates of Analysis (COA) by entering the products Lot/Batch Number. Lot and Batch Numbers can be found on a product’s label following the words ‘Lot’ or ‘Batch’.

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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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