Photoresist Adhesion Optimization
on Hydrophobic PDMS

Surface Activation | DOE Plasma Treatment | Failure Analysis

๐ŸŽฏ Project Type: Process Development & Failure Analysis
๐Ÿ“… Period: 2020 โ€“ 2021
๐Ÿงช Key Techniques: Oโ‚‚ Plasma Treatment (RIE) | AZ 1518 Positive Resist | Hydrophobic Surface Activation
๐ŸŽญ Role: Sole process developer - Designed and executed DOE, characterized failures, optimized parameters

The Problem: Photoresist Delamination on PDMS

PDMS (polydimethylsiloxane) is inherently hydrophobic with a water contact angle of ~110-120ยฐ. This hydrophobicity causes poor adhesion of aqueous-based photoresists, leading to resist peeling, delamination, and pattern transfer failure during development. This was a critical bottleneck for fabricating metal patterns on PDMS for flexible sensors.

Root Cause Analysis

  • Hydrophobic Surface: PDMS has low surface energy (โˆผ20 mJ/mยฒ) vs. photoresist surface tension (โˆผ30-40 mJ/mยฒ) โ†’ poor wetting
  • Low Adhesion: No chemical bonding between PDMS and resist
  • Developer Attack: Aqueous developer penetrates between resist and substrate, causing lifting
  • Mechanical Stress: Spin coating and developing create shear forces that lift poorly adhered resist
๐Ÿ’ก Hypothesis: Oโ‚‚ plasma treatment will introduce polar functional groups (-OH, -COOH) on PDMS surface, increasing surface energy and improving resist adhesion.

Design of Experiments (DOE) Approach

Factor 1

Plasma Power (W)
50W โ†’ 100W โ†’ 150W

Factor 2

Chamber Pressure (mTorr)
200 โ†’ 400 โ†’ 600 mTorr

Factor 3

Oโ‚‚ Flow Rate (sccm)
40 โ†’ 60 โ†’ 80 sccm

Factor 4

Treatment Time (sec)
30 โ†’ 60 โ†’ 120 โ†’ 180 sec

Experimental Matrix (Selected Runs):

RunPower (W)Pressure (mTorr)Oโ‚‚ Flow (sccm)Time (sec)Result
1504006030โŒ Partial adhesion
21004006030โŒ Still peeling
31504006030โš ๏ธ Too aggressive
41002006060โš ๏ธ Partial improvement
51004006060โš ๏ธ Better but uneven
61006006060โŒ Inconsistent
71004004090โœ… Good adhesion
81004006090โœ… Optimal result
91004008090โš ๏ธ Slight over-treatment

Failure Mode 1: No Plasma Treatment (Control)

Failure Mode 2: Excessive Plasma Treatment

Too much plasma treatment (high power, long time) creates excessive surface activation, causing the photoresist to adhere too strongly, making it impossible to remove even after development. This results in:

  • Resist residue in exposed areas (should have been removed)
  • Poor pattern fidelity
  • Difficult lift-off
  • Surface cracking/roughening

Process Development: Finding the Sweet Spot

Through systematic DOE, the optimal plasma treatment parameters were identified to achieve strong resist adhesion without over-adhesion.

Key Findings:

  • Power: 100W provided the best balance (50W insufficient, 150W too aggressive)
  • Time: 90 seconds was optimal (30-60s insufficient adhesion, 120s+ over-treatment)
  • Pressure: 400 mTorr gave most uniform treatment across wafer
  • Oโ‚‚ Flow: 60 sccm optimal for uniform plasma distribution
โœ… Optimal Parameters: 100W | 400 mTorr | 60 sccm Oโ‚‚ | 90 seconds

Success: Clean Patterned Resist on PDMS

After rigorous process development and DOE optimization, clean, well-adhered photoresist patterns were achieved on hydrophobic PDMS substrates.

Optimized Process Flow

Step 1: PDMS Preparation

Spin-coat PDMS (10:1 ratio) on Si wafer โ†’ Cure at 80ยฐC for 12h

Step 2: Oโ‚‚ Plasma Treatment (OPTIMIZED)

MARCH RIE System: 100W | 400 mTorr | 60 sccm Oโ‚‚ | 90 seconds

Step 3: Immediate Resist Coating

Process within 30 minutes of plasma treatment (surface activation decays over time)

Step 4: Soft Bake

110ยฐC for 70 seconds

Step 5: UV Exposure

OAI 800 Mask Aligner, 80 mJ/cmยฒ

Step 6: Development

AZ 300 MIF, 60 seconds

Key Learnings & Insights

  • Surface energy is critical: Hydrophobic PDMS requires surface activation for resist adhesion
  • There is an optimal window: Too little treatment โ†’ peeling; too much โ†’ resist residue
  • Time sensitivity: Treated PDMS surface re-hydrophobizes over time (plasma treatment effect decays within hours)
  • DOE is powerful: Systematic variation of power, time, pressure, and flow identified optimal parameters
  • Characterization is key: Optical microscopy and profilometry essential for failure analysis

Equipment Used

  • MARCH RIE System (Oโ‚‚ Plasma)
  • Headway Spin Coater
  • Despatch Oven (PDMS Curing)
  • OAI 800 Mask Aligner
  • Hotplates (Soft Bake)
  • Develop Deck (AZ 300 MIF)
  • Olympus Optical Microscope
  • Alpha Step Profilometer

Skills Acquired

DOE (Design of Experiments) Failure Analysis Root Cause Analysis Oโ‚‚ Plasma Treatment (RIE) Surface Activation Hydrophobic Surface Engineering AZ 1518 Processing Process Optimization Quality Control

Downloads

Process Comparison

Condition Resist Adhesion Pattern Fidelity Lift-Off Ease Verdict
No Plasma Treatment โŒ Very Poor โŒ Complete Failure N/A Unacceptable
Under-Treatment (30-60s) โš ๏ธ Partial โš ๏ธ Peeling at edges โœ… Easy Poor
Optimal (90s) โœ… Excellent โœ… Sharp/Uniform โœ… Clean Optimal
Over-Treatment (120-180s) โŒ Too Strong โŒ Residue/Scum โŒ Difficult Unacceptable

Connection to My Research

This process development directly enabled multiple projects:

  • Flexible Pressure Sensors: Reliable metal patterning on PDMS for stretchable electrodes
  • Dual-Mode Sensors: Clean lift-off for interdigitated electrodes
  • Wearable Devices: PDMS-based flexible substrates for skin-mounted sensors

Conclusion

This project systematically addressed the critical challenge of photoresist adhesion on hydrophobic PDMS substrates through Oโ‚‚ plasma surface activation. Using Design of Experiments (DOE) methodology, four parameters (power, pressure, Oโ‚‚ flow, time) were optimized. Key findings include: (1) no plasma treatment results in complete resist delamination during development; (2) under-treatment (30-60s) causes partial peeling; (3) over-treatment (120s+) leads to resist residue and lift-off failure; (4) optimal parameters are 100W power, 400 mTorr pressure, 60 sccm Oโ‚‚ flow, 90 seconds. The optimized process yields clean, well-adhered resist patterns with sharp feature edges and excellent pattern fidelity. This work demonstrates systematic problem-solving using DOE, failure analysis, and process optimization โ€” critical skills for semiconductor process engineering roles.