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Identifying Textiles with Extended-range FT-NIR Spectroscopy
- 制造业
- Reflectance
- Near Infrared Spectrometers
FT-NIR spectroscopy offers a simple tool to identify different types of textiles, with distinct spectral features observed at wavelengths >1350 nm. This approach may be useful for authentication of natural and synthetic consumer textile products.
振动光谱被广泛用于无n-destructive characterization of materials. As light interacts with the material, molecules bend and stretch creating vibrations specific to the chemical bonds and functional groups within the material. These vibrations give rise to a unique spectral fingerprint that can be used to characterize and even identify the material analyzed.
Vibrational spectra are measured using either Raman or infrared spectroscopy techniques that differ based on the specific light interaction measured. Raman measures the inelastic scattering of monochromatic laser light while infrared spectroscopy measures the absorption of infrared wavelengths. These complementary techniques have their strengths and weaknesses, with both techniques often used together for more complete characterization of the material.
Both Raman and infrared spectroscopy techniques have been used to characterize textiles and fabrics for incoming inspection of raw materials and to assess the authenticity of products produced from these materials. In the case of colorful textiles and fabrics, infrared spectroscopy is sometimes preferred to Raman to avoid the strong Raman background spectrum that can arise from the dyes found in brightly colored textiles.
In this post, we describe how a compact, MEMS-based, single-photodetector NIR device, the NanoQuest spectral sensor, can be used to distinguish different types of textiles.
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-poweredtungsten 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 aWS-1model 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.
在纳米最低软件中，光分辨率设置为8nm（fwhm），并生成自定义增益设置以优化测量设置的信噪比。每个样品在5个不同的位置测量，得到2的由此产生的光谱数据进行预处理nd施用具有平滑的衍生物，并施加标准正常变化（SNV）。将主成分分析（PCA）应用于数据集。
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.
Figure 1:Comparison of the three textile samples measured with NIR reflectance. The inset PCA scatter plot shows results after pretreatment by 2nd衍生物和SNV。
Conclusion
实验清楚地表明，用纳米Quest测量的NIR光谱具有独特的特征，有助于识别天然和合成纺织品。PCA在光谱中的应用进一步证明了纺织品样品的区别。额外的调查可能包括测试未知的纺织品样本以正确识别它们。
In addition to authentication of textiles, polymers and other materials, NanoQuest application areas include food and agriculture (soil analysis and soybean screening), and biomedical (bodily fluids analysis).
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