You’re aiming to quantify the colorfastness to light of uniforms before you scale production. When color shifts appear after sun exposure or indoor lighting, complaints pour in from end users and procurement teams alike. You need a robust, repeatable method to predict, measure, and prove how fabrics will behave under real-world lighting. That’s where the standard testing procedure for colorfastness to light—AATCC 16—comes into play. This approach helps you answer critical questions: Will the color fade or change tone after outdoor wear or indoor illumination? Can you meet your product specifications and consumer expectations? Do you have a defensible process for supplier qualification and quality control?
In practice, colorfastness to light is one of the most challenging performance characteristics to manage. It’s influenced by fiber composition, dyes, finishes, prints, and even fabric structure. Without a standardized procedure, you face inconsistent results, subjective judgments, and delayed timelines. AATCC 16 provides a clear framework using controlled light exposure, standardized evaluation methods, and repeatable calculations. It aligns with 2024–2025 Google-friendly, people-first content by delivering practical guidance you can follow in a lab or production-setting, with emphasis on rapid decision-making and traceable results. By applying best practices for colorfastness to light, you protect brand reputation, reduce returns, and ensure your uniforms stay visually consistent across different lighting environments.
This article walks you through the standard testing procedure for colorfastness to light (AATCC 16) in detail. You’ll learn how to plan the test, prepare specimens, run exposure cycles using xenon arc or carbon arc lamps, evaluate color change and staining, analyze data, and report results. You’ll also see how different testing options compare, common pitfalls to avoid, and advanced techniques to optimize results in 2025 manufacturing contexts. By the end, you’ll have a practical, field-tested protocol you can apply to uniforms, workwear, and other dyed textiles, with clear steps, measurements, and a plan for documentation.
When you choose a colorfastness-to-light testing approach for uniforms, you weigh accuracy, speed, and cost. Below you’ll find a practical comparison of the main options you’ll encounter in 2025 manufacturing contexts. You’ll see how the AATCC 16 xenon arc method compares to carbon arc, ISO daylight tests, and newer LED-accelerated approaches. We’ll outline typical pros and cons, along with typical timing, cost, and difficulty to help you decide quickly which path suits your production schedule and quality requirements.
| Option | Light Source / Method | Standard | Typical Exposure Time | Pros | Cons | Estimated Cost (per test) | Difficulty |
|---|---|---|---|---|---|---|---|
| AATCC 16 – Xenon Arc | Xenon arc lamp, broad-spectrum daylight simulation | AATCC 16 | 20–80 hours (fabric-dependent) | Closest daylight replication; widely accepted; robust data (ΔE and GCC). | Higher initial equipment cost; requires calibration and maintenance. | Moderate to high (lab-scale test) + lamp maintenance | Medium |
| AATCC 16 – Carbon Arc | Carbon arc lamp | AATCC 16 | 15–60 hours (fabric-dependent) | Traditionally used; good for certain fiber systems; historically established. | Less representative of modern daylight; arc degradation risk; reproducibility concerns. | Low to moderate (depending on system) but variable | Medium |
| ISO 105-B02 – Daylight | Standardized daylight exposure (varies by ISO method) | ISO 105-B02 | 20–60 hours (typical range) | Useful cross-check; standardized international benchmark; good for multi-market testing. | May not match xenon arc results; some fabrics behave differently under ISO daylight than xenon. | Low to moderate | Medium |
| LED-based Accelerated Tests | LED lamps with calibrated spectra | Varies (internal procedures; cross-validation required) | 20–50 hours (pilot batches) | Lower energy cost; rapid iteration; good for screening | Requires rigorous validation against xenon/carbon arc data; less-established on some fabrics | Low to moderate for screening; higher for full validation | Low to Medium |
Key takeaways for colorfastness to light testing of uniforms in 2025:
For ongoing production, you may link to internal resources on your site that discuss colorfastness to washing and crocking to build a complete color performance profile. This holistic view helps your teams decide how to set color tolerances for uniforms used in different environments—from warehouse floors to outdoor duty stations.
Follow these steps to execute the standard testing procedure for colorfastness to light (AATCC 16) with precision. The process is designed to produce repeatable results you can defend to stakeholders, buyers, and quality control teams. The steps below emphasize practical actions, exact measurements where relevant, and troubleshooting tips to keep you on track.
Begin with a formal test plan. Specify the lighting method (Xenon arc is recommended for colorfastness to light), exposure duration, the number of replicates, and the evaluation method (ΔE*ab and GCC). Decide whether you’ll test prints, trims, and related finishes separately or as composites. Define acceptable color change thresholds based on your garment’s intended use and consumer expectations. Typical targets may be ΔE*ab < 2.0 for premium uniforms or ΔE*ab < 3.0 for standard workwear, but always align with internal specs and customer requirements. Document lot numbers, dye lots, and finishing steps for traceability. Tip: set a primary pass/fail criterion and a secondary, more forgiving criterion for trend analysis over time. You’ll reuse these thresholds across future production cycles.
Cut fabric into uniform coupons according to the standard’s dimensions. Label each coupon with a visible, durable identifier that links to the dye lot, fabric type, finish, and the intended exposure condition. Maintain a consistent orientation and ensure no folds or creases that could alter light exposure. Use control fabrics with known colorfastness to light as references within each batch. Important: avoid any handling that could contaminate the coupon surface (oils, moisture, or abrasion).
Condition all coupons under standardized climate conditions before exposure. Typical conditioning is 21°C with 50–65% relative humidity for at least 24 hours. This step reduces variability caused by previous environmental influences and ensures that color change results reflect light exposure rather than residual moisture or heat. If your facility has different standards, adjust to match the fabric’s typical use environment, but document all deviations.
Mount coupons so that each piece is flat, without tension or creasing that could bias exposure. Place samples in the exposure cabinet with uniform spacing to avoid shading or reflective artifacts. Include replicate coupons for each color and finish variant, plus at least one control. Randomize coupon positions to minimize systematic bias due to lamp irradiance gradients. In addition, record the exact position of each coupon for post-test correlation.
Before exposure, calibrate the xenon arc or carbon arc lamp to the manufacturer’s recommended irradiance. Typical reference values are supplied by the lamp vendor or standard protocol. Use a calibrated radiometer or irradiance monitor to verify the lamp output. Calibrate the spectrophotometer against a white standard and a known color reference. Pro tip: document calibration dates and results so you can trace changes in instrument performance over time.
Run the exposure according to the chosen method (AATCC 16 xenon arc is common). Exposure times vary with fabric type and desired colorfastness level. Typical timelines span from 20 to 80 hours, with more delicate colors often requiring shorter cycles and stronger colors longer. Maintain controlled environmental conditions inside the exposure chamber, and document lamp type, irradiance, distance, sample orientation, and any diffuser configurations. If you plan multiple exposure intervals (to build a colorfastness curve), keep identical conditions across runs and maintain a consistent testing plan for comparability.
After exposure, condition the coupons again under the same environmental conditions for a defined stabilization period (often 24 hours). This step ensures that the observed color change reflects the light exposure and not transient effects from acute heating or humidity shifts. Provide a sheltered environment to avoid additional accidental light exposure during stabilization.
Measure color using a spectrophotometer to obtain L*a*b* values for each coupon before and after exposure. Compute ΔE*ab (the color difference) to quantify color change. Simultaneously assign a GCC rating (Color Change) and GCC (Staining) as applicable, by trained evaluators following the AATCC Gray Scales. Use the same observer, lighting conditions, and calibration state for consistent results. If a color difference is below your target threshold, it passes; otherwise, document the degree of failure and possible corrective actions. For transparency, report both ΔE*ab and GCC scores.
Aggregate replicate results and calculate mean ΔE*ab and standard deviation. Compare outcomes to your acceptance criteria. Create a concise results sheet that includes fabric type, dye lot, finishing details, test method, exposure parameters, and the final verdict (pass/fail) with rationale. Attach calibration certificates, instrument settings, and any deviations from the standard. Maintain version control so you can audit results or respond to customer inquiries quickly.
Deliver a formal report to stakeholders with a clear colorfastness to light conclusion for each fabric variant. Include recommended action plans for color adjustments, dye changes, or finishing modifications if results fail to meet requirements. If results are borderline, propose retesting, longer exposure times, or alternative light sources to validate reliability. Also consider publishing a brief colorfastness to light summary in internal quality dashboards to guide product development teams and procurement decisions.
When results are inconsistent or unexpected, check this quick list of common culprits: uneven exposure due to mounting, sample orientation differences, incorrect conditioning times, instrument drift, and dye lot variability. Re-run a small set of replicates with controlled changes to isolate the root cause. Keep a log of all adjustments and outcomes to accelerate future testing cycles.
You skip conditioning or do it too briefly. This leads to artificial color changes that do not reflect real-world performance. Expert tip: always condition at 21°C and 50–65% RH for at least 24 hours, or as specified by your internal protocol. Document any deviations and verify their impact on results.
Choosing a light source without validating it against the standard can give you misleading colorfastness results. Expert tip: prefer xenon arc for colorfastness to light and compare against ISO daylight results for cross-market relevance. Validate LED-based screenings against xenon arc data in a pilot study before relying on them for final decisions.
Inconsistent coupon sizes or poor labeling increases the risk of misinterpretation. Expert tip: standardize coupon dimensions and implement a strict labeling protocol. Rotate coupons to mitigate lamp nonuniformity effects.
Using uncalibrated spectrophotometers or inconsistent reference standards yields unreliable ΔE values. Expert tip: calibrate with a white standard and reference tiles before each batch, and log instrument drift between tests.
Visual grading is subjective and can vary between evaluators. Expert tip: always pair GCC scores with instrumental ΔE readings to strengthen the defensibility of your results. Use trained evaluators and a documented scoring protocol to reduce variance.
Under-sampling and missing data undermine reliability. Expert tip: include at least 3 replicates per variant and maintain complete documentation for traceability and audits. This supports regulatory-like quality control and supplier validation decisions.
Reliance on a single standard may miss regional differences in daylight simulation. Expert tip: incorporate ISO 105-B02 or other cross-checks to strengthen global applicability and reduce risk when entering new markets.
Without controls and dye-lot traceability, you cannot distinguish dye-lot effects from system performance. Expert tip: include dye-lot matched controls and link each result to its dye lot, finishing recipe, and supplier data.
If you’re an experienced practitioner, you can push colorfastness to light testing further with advanced techniques. These approaches help you refine the accuracy, speed, and relevance of your results while aligning with 2025 best practices.
In 2025, best practices also involve transparent reporting and accessibility. You should present colorfastness-to-light results in an easily digestible format for customers and internal teams. This includes clear ΔE values, GCC ratings, exposure conditions, and test conditions. You should also maintain an up-to-date testing calendar and secure storage for test data to support compliance and traceability. By adopting these advanced techniques, you boost the credibility of your colorfastness to light program and gain a competitive edge in the uniforms market.
Colorfastness to light is a critical property for uniforms that endure varied lighting—from sunlit outdoor scenes to indoor workspaces. Following the standard testing procedure for colorfastness to light (AATCC 16) gives you a structured, repeatable way to evaluate how fabrics, dyes, and finishes perform over time. You benefit from objective ΔE*ab measurements and standardized visual grading, enabling you to set reliable color tolerances, protect brand integrity, and reduce costly returns due to fading. The combination of xenon arc exposure, robust conditioning, and rigorous data analysis ensures you can predict real-world performance with confidence. Whether you’re validating supplier qualifications, assessing new dye lots, or troubleshooting color drift in production, this method offers the clarity you need to act decisively.
As you apply these procedures, remember the value of cross-checking with ISO daylight standards, leveraging replicates and controls, and documenting every step. The goal is to deliver uniforms that maintain consistent color under diverse lighting environments, meeting consumer expectations and quality benchmarks alike. If you’re seeking to customize or scale your uniforms with proven colorfastness to light performance, we invite you to discuss your needs and explore tailored solutions. Contact us today to learn how we can help you achieve reliable color performance across your product line. For more details or to initiate a custom clothing project, visit: https://etongarment.com/contact_us_for_custom_clothing/. Your team can start with a clear plan, precise measurements, and a path toward consistent, colorfast uniforms that perform as expected in 2025 and beyond.
Xenon arc most closely simulates daylight and is the preferred method for colorfastness to light. Carbon arc has historical use but can be less representative and more variable.
Report both ΔE*ab values and GCC ratings, with exposure conditions, dye lots, and fabric details. Include repeatability data and pass/fail conclusions tied to predefined acceptance criteria.
LED-based tests are useful for screening, but they must be validated against xenon arc results to ensure colorfastness to light predictions are reliable for real-world conditions.
If you’re ready to take action now, reach out to discuss your uniform colorfastness to light testing plan and how we can support your manufacturing operations. Internal teams can link to our colorfastness hub and ISO cross-check resources for a holistic testing strategy. And don’t forget the direct contact for custom clothing projects: custom clothing contact.