Entegris has been granted a patent for ion-exchange membranes with imidazole ion-exchange groups for separating charged biological molecules from liquids. The membranes exhibit pH-dependent charges, transitioning from positive to negative at pH 5.2, and are grafted to a polymer porous membrane using ultraviolet radiation. GlobalData’s report on Entegris gives a 360-degree view of the company including its patenting strategy. Buy the report here.

According to GlobalData’s company profile on Entegris, 3D memory devices was a key innovation area identified from patents. Entegris's grant share as of February 2024 was 67%. Grant share is based on the ratio of number of grants to total number of patents.

Ion-exchange membrane with ph-dependent imidazole groups for separation

Source: United States Patent and Trademark Office (USPTO). Credit: Entegris Inc

A recently granted patent (Publication Number: US11918990B2) discloses a porous ion-exchange membrane with unique properties. The membrane comprises imidazole ion-exchange groups on its surfaces, with charges that are pH-dependent. Specifically, the imidazole ion-exchange groups exhibit a positive charge at a pH below 5.2 and a negative charge at a pH above 5.2. These groups are grafted onto a polymer porous ion-exchange membrane through exposure to ultraviolet radiation, enhancing the membrane's functionality.

Furthermore, the membrane described in the patent has specific characteristics such as a porosity ranging from 20 to 95 percent (volume), a thickness between 5 to 300 microns, and pores with an average size between 0.2 to 10 microns. The polymer porous ion-exchange membrane can be made from various polymers including polyolefin, polypropylene, polysulfone, polyvinylidenefluoride, cellulose acetate, nylon, or polytetrafluoroethylene. Additionally, the membrane can also be composed of ultra high molecular weight polyethylene, providing versatility in its applications.

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GlobalData, the leading provider of industry intelligence, provided the underlying data, research, and analysis used to produce this article.

GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.