Quantitative Mixing of Fluids Using Dip-Pen Nanolithography for Combinatorial Materials Science

Area of Science:

• Materials Science
• Nanotechnology
• Surface Chemistry

Background:

• Dip-pen nanolithography (DPN) is a versatile technique for nanoscale fluid deposition.
• Combinatorial approaches are crucial for efficient materials discovery and optimization.
• Understanding material properties requires precise control over composition and structure.

Purpose of the Study:

• To demonstrate a method for creating combinatorial libraries of nanoscale fluid features using DPN.
• To investigate the utility of DPN-generated patterns for materials discovery.
• To study the mechanical and swelling properties of polyethylene glycol hydrogels with varying compositions.

Main Methods:

• Overwriting DPN was employed to pattern fluids onto surfaces, creating predictable features.
• Fluorescence microscopy and inertial sensing were combined to control feature composition and mass.
• Atomic force microscopy was used to evaluate the properties of the patterned materials.

Main Results:

• DPN overwriting allows for the creation of nanoscale patterns with predictable size and composition.
• Combinatorial libraries of nanoscale features with known mass and composition were successfully realized.
• The approach enabled the study of hydrogel mechanics and swelling behavior across a range of compositions.

Conclusions:

• DPN with overwriting is a powerful tool for generating combinatorial materials libraries.
• This method facilitates the discovery and optimization of performance materials.
• The technique requires minimal material (<1 microgram) and offers versatile evaluation capabilities.