Identifying Textiles with Extended-Range Near Infrared Spectroscopy

February 1, 2020
Anne-Marie Dowgiallo

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Ocean Insight

Application Notebook, Application Notebook-02-02-2020, Volume 35, Issue 2
Pages: 73

NIR spectroscopy offers a simple tool to identify different types of textiles, with distinct spectral features observed at wavelengths >1700 nm. This approach may be useful for authentication of natural and synthetic consumer textile products.

Experimental Conditions

Reflectance from 100% cotton, nylon, and satin textile samples was measured across the extended NIR wavelength range (1350–2500 nm) using the Ocean Insight NanoQuest spectral sensor with a high-powered tungsten halogen light source (Ocean Insight model HL-2000-HP) and 600 µm visible-NIR reflection probe. Measurements were made with the probe oriented at 90 degrees relative to the fabric surface using a manual optical stage. All measurements were referenced to a WS-1 model PTFE (Teflon) diffuse reflection standard.

NanoQuest is based on Fourier–transform infrared (FT-IR) technology. Its patented micro-electro-mechanical systems (MEMS) technology allows for a continuous-wave Michelson interferometer to be created monolithically on a MEMS chip, enabling detection of all wavelengths simultaneously across the 1350–2500 nm range.

In the NanoQuest software, optical resolution was set to 8 nm (FWHM) and a custom gain setting was generated to optimize the signal-to-noise ratio for the measurement setup. Each sample was measured at five different locations with resulting spectral data pretreated by a second derivative with smoothing, and a standard normal variate (SNV) was applied. Principal component analysis (PCA) was applied to the dataset.

Results

The NIR spectra measured with the NanoQuest can easily discriminate among the different textile types. Figure 1 shows the reflectance spectra of the three textiles measured: cotton, nylon, and satin. Differences in the spectral profile for each sample can be seen readily, and the inset PCA plot shows distinct separation between the clusters for each textile sample.

Conclusion

The experiments clearly demonstrate that NIR spectra measured with the NanoQuest have unique features helpful to identify both natural and synthetic textiles. Application of PCA to the spectra further demonstrated the distinction among textile samples. Additional investigation may include testing unknown textile samples to correctly identify them.

In addition to authentication of textiles, polymers, and other materials, NanoQuest application areas include food and agriculture (soil analysis and soybean screening) and biomedical and life sciences (bodily fluids analysis).

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