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How to Validate the Cleanliness of Optics (and Why It Matters More Than You Think)

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How to Validate the Cleanliness of Optics (and Why It Matters More Than You Think)
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In the world of optics, even a tiny speck of contamination can ruin a product. Whether you’re in precision manufacturing, medical imaging, or aerospace components, surface cleanliness isn’t just a box to checkit’s the foundation of performance and reliability.

 

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Why You Need More Than Just a "Clean-Looking" Surface 

Surfaces can be compromised by two primary forms of contamination: physical and chemical. 

Physical contamination arises from particulates such as dust, metal fragments, plastic shards, wood and textile fibers. These contaminants are often visible and can cause scratches, obstruct light paths, and introduce defects during bonding or coating processes. Recognizing and removing physical debris is essential to preserving surface integrity and ensuring functional performance. 

In contrast, chemical contamination originates from sources like vapors, waxes, machining oils, and grease. Unlike physical particles, chemical residues are typically invisible and much harder to detect. Despite their subtle nature, they can significantly disrupt bonding and coating adhesion, as well as degrade optical performance. 

While removing physical contaminants is important, chemical cleanliness is often the more critical and challenging aspect—and frequently the root cause of performance issues. Chemical cleanliness is where manufacturers get into trouble because standard cleaning protocols are often insufficient for eliminating chemical residues, especially on precision surfaces used in optics. 

Contamination isn't always evident to the naked eye. Complex components such as lenses or coated substrates with intricate geometries or hidden recesses can retain residues from machining fluids or even the cleaning agents themselves. This is where advanced tools and a data-driven approach become essential to effectively address these challenges.  

 

Why Conventional Cleaning Techniques Fall Short 

When measuring a “clean-looking” surface, one must monitor the state of the cleaning chemistry with either pH or titrations, while also directly measuring the part you are cleaning. In this article, we are only focused on direct part measurement.  

Traditional methods for detecting contamination—such as the Millipore test and JOMESA Microscopes —primarily focus on particulate analysis. The Millipore test quantifies the weight of solid particles collected on a filter, while microscopy identifies and counts particles visually on a slide. However, both techniques are inherently subjective and can vary based on the operator’s interpretation. 

In the case of chemical contamination, common evaluation methods include spectroscopy, water contact angle (WCA) measurement, and visual inspection. Of these, visual inspection and some spectroscopic techniques often rely on observed color changes, which can be influenced by individual perception and lack standardization.

 

Dangers of Conventional Cleaning Methods 

  • Conventional cleaning methods cannot confirm how clean a surface really is. They are not objective. These methods rely on visual inspection or assumptions, which leaves room for failure.  
  • Conventional cleaning methods are not sensitive enough to detect contamination at the nanoscale level. Techniques such as X-ray Photoelectron Spectroscopy (XPS) or Water Contact Angle (WCA) analysis are required to detect residues at the ~200 nanometer range.


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  • Conventional methods cannot measure cleanliness on concave surfaces, such as the inside of optical components.
  • Methods like spectroscopy are difficult to use and not easily deployable in a manufacturing environment.
  • There are no automatic alerts or integrated data analysis tools to track and trend cleanliness across parts.

Software has not been built with modern manufacturing in mind. There are no features that allow track and trace ability, cloud flexibility, automatic alerts or necessary programming.  

 

A Smarter Way to Validate Cleanliness   

Effective validation of optical surface cleanliness demands more than visual inspection or particulate analysis. At Brighton Science, we have developed a data driven approach where we help manufacturers see what others can’t. Our BConnect platform provides surface-specific, quantitative data to detect invisible chemical contaminants. The platform works by integrating a handheld goniometer device with specialized software to accurately measure the surface energy using water contact angle. The BConnect platform is built with a range of powerful features that make precision, efficiency, and usability possible at every step of the manufacturing process.

These features include: 
 

  • Unique Hardware: Ballistic deposition, top-down, non-contact measurement, and custom-designed device attachments tailored to your specific needsimage-png-May-13-2025-05-24-00-8120-PM

  • Dual-Side Measurement: Enables simultaneous dual-surface measurement for precise optical analysis 
  • Fast, Easy, Accurate: Quick setup, repeatable results 
  • Powerful Software: Real-time troubleshooting, process monitoring, and assistance in determining optical chemical selection for surface treatment 
  • Lab Network: Share data and insights across locations 
  • Track & Trace: Full part history, visibility throughout entire product lifetime 
  • Data Visualization: Instant clarity on performance and trends 
  • Operator-Friendly: Guided workflows, automatic alerts, flexible training opportunities  

 

How BConnect Transforms Manufacturing Cleaning

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1. Build a Smart Cleaning Process
BConnect guides operators through water contact angle (WCA) measurements to help select the right cleaning chemistry and method. Without this guidance, processes can become inconsistent, leading to unpredictable performance and quality issues.


2. Know When to Switch Chemistry
Contamination from oils, waxes, and grease degrades cleaning baths over time—especially in high-throughput environments. BConnect helps detect when chemistry effectiveness is declining, preventing cross-contamination, ineffective cleaning, and premature part failure.


3. Improve Quality Control
With real-time WCA tracking and the Brighton Process Monitor, BConnect enables objective cleanliness measurement, automatic traceability, and issue resolution. This minimizes missed defects, reduces rework, and boosts confidence in every part you ship.

This means fewer surprises, better traceability, and higher confidence in every part that you ship.  

 

Final Thoughts 

Surface cleanliness isn’t just a maintenance task; it’s a critical quality factor. If you’re in optics, don’t settle for “clean enough.” Validate it, measure it, and control it. That’s how you ensure consistent performance and longer-lasting products. 

 

Optimize the power of next-gen connectivity with data & surface intelligence.