Entegris Blog | Ensights

Cleaner Chemistry and Faster Startup with Next Generation Ancillary Photochemical Filters

Written by Entegris | Dec 22, 2025

Cleaner Chemistry and Faster Startup with Next Generation Ancillary Photochemical Filters

In advanced semiconductor fabs, even trace levels of metal or organic contaminants in ancillary photochemicals, like PGME/PGMEA, TMAH, and nBA, can compromise wafer yield, chip performance, and device reliability. Central Delivery Systems (CDS) must deliver ultra-clean chemicals to photolithography tools, but legacy filters may fall short in removing extractables or enabling fast system startup in photolithography.

Addressing These Challenges:

Entegris recently conducted a study of new UPE (ultra-high molecular weight polyethylene) filters tailored for CDS applications. This study evaluates their performance to reduce extractables and improve filter startup efficiency across three key chemistries: PGME/PGMEA (7:3), 2.38% TMAH (aq), and nBA.

How We Solved It:

Four new filter designs were tested using static soak methods and ICP-MS/GC-FID analysis to quantify metal and organic extractables. The filters included:

  • Microgard™ UPE D01 and Nylon N01 for PGME/PGMEA
  • Microgard AT 2 nm Dry for nBA
  • Microgard AT 2 nm Prewet for 2.38% TMAH (aq)

Each filter was benchmarked against its respective point-of-reference (POR) filter, demonstrating significant improvements in metal and organic extractables in these photochemicals.

Photochemical New Filters Evaluated POR Metal Extractables Reduction Organic Extractables Reduction
PGME/PGMEA UPE D01 UPE 60% 70%
PGME/PGMEA Nylon N01 Nylon 70% 50%
nBA Microgard AT 2 nm Dry PTFE A 50% 40%
2.38% TMAH (aq) Microgard AT 2 nm Prewet PTFE B 90% N/A

 

Conclusion and What’s Next

These next-generation filters significantly improve chemical cleanliness and reduce startup times in automated delivery systems. As fabs scale to sub-3 nm nodes and adopt more complex chemistries, CDS filtration must evolve to meet tighter purity specs.

Watch Lead Author, Patricia Chen describes the study and download the full Tech Note.

 

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