# Development and Characterization of Near-Infrared Detectable Twin Dye Patterns on Polyester Packaging for Smart Optical Tagging

**Authors:** Silvio Plehati, Aleksandra Bernašek Petrinec, Tomislav Bogović, Jana Žiljak Gršić

PMC · DOI: 10.3390/polym17202784 · Polymers · 2025-10-17

## TL;DR

This paper introduces a low-cost method for creating invisible, near-infrared detectable dye patterns on polyester packaging for smart tagging and object identification.

## Contribution

A scalable, cost-effective approach for smart optical tagging using twin NIR-absorbing dyes on polyester.

## Key findings

- Twin dye patterns are invisible under visible light but detectable in the NIR region.
- A custom photodiode system and commercial NIR cameras both confirmed the feasibility of the method.
- The technique enables non-contact identification and spatial localization of NIR codes.

## Abstract

Smart polyester materials with embedded near-infrared (NIR) functionalities offer a promising pathway for low-cost, covert tagging, and object identification. In this study we present the development and characterization of polyester packaging surfaces printed with spectrally matched twin dyes that are invisible under visible light but selectively absorbed in the NIR region. The dye patterns were applied using a Direct-to-Film transfer (DTF) method onto polyester substrates. To validate their optical behavior, we applied a dual measurement approach. Laboratory grade NIR absorbance spectroscopy was used to characterize the spectral profiles of the twin dyes in the 400–900 nm range. A custom photodiode-based detection system was constructed to evaluate the feasibility of low-cost, embedded NIR absorbance sensing. Results from both methods show correlation in absorbance contrast between the dye pairs, confirming their suitability for spectral tagging. The developed materials were evaluated in a real-world detection scenario using commercially available NIR cameras. Under dark field conditions with edge illuminated planar lighting, the twin dye patterns were successfully recognized through custom software, enabling non-contact identification and spatial localization of the NIR codes. This work presents a low-cost, scalable approach for smart packaging applications based on optical detection of actively illuminated twin dyes using accessible NIR imaging systems.

## Full-text entities

- **Chemicals:** Polyester (MESH:D011091)

## Full text

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## Figures

13 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12567288/full.md

## References

25 references — full list in the complete paper: https://tomesphere.com/paper/PMC12567288/full.md

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Source: https://tomesphere.com/paper/PMC12567288