Vibrational Spectroscopy Imaging in Polymers

Sato, Harumi; Ozaki, Yukihiro; Jiang, Jian‐Hui; Yu, Ru‐Qin; Shinzawa, Hideyuki

doi:10.1002/9780470768150.ch14

Cited by 8 publications

(8 citation statements)

References 42 publications

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“…This peak is located at ∼1237 cm −1 in the absence of strain 14 and shifts to 1235.5 cm −1 over the stressed area in both the visibly marked and obliterated regions. 23 The similar trend in both regions demonstrates that it is possible to detect residual mechanical strain from the stamping process even in the abraded part of a polycarbonate sample. In addition, the fwhm of peak 10 depicts a variation over region 1 (Figure 2(d)), from 29 cm −1 over the unstressed area to 31 cm −1 over the marked region, suggesting an alteration in the local structural arrangemen.t 24 Indeed, the fwhm is related to the lifetime of the optical phonons and therefore to the quality of the local ordering.…”

Section: ■ Results and Discussionmentioning

confidence: 65%

“…Its Raman shift over regions 1 and 2 is depicted in Figure (b, c), respectively. This peak is located at ∼1237 cm –1 in the absence of strain and shifts to 1235.5 cm –1 over the stressed area in both the visibly marked and obliterated regions . The similar trend in both regions demonstrates that it is possible to detect residual mechanical strain from the stamping process even in the abraded part of a polycarbonate sample.…”

Section: Resultsmentioning

confidence: 73%

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Reconstruction of Obliterated Characters in Polycarbonate through Spectral Imaging

et al. 2017

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In forensic sciences, there is an increasing demand for nondestructive and reliable methods to retrieve obliterated information in polymers. This study demonstrates a case study for the potential of Raman spectroscopy to reconstruct abraded serial numbers. Residual strain and local variations in the structural arrangement are nondestructively imaged through peak shifts and variations of the full width at half-maximum of specific Raman lines, respectively. We qualitatively validate our approach by successfully recovering an obliterated letter stamped with a pressure of ∼170 MPa in a polycarbonate sample, with a subsequent quantitative statistical analysis. The detection threshold is estimated from the propagation depth of plastic deformations to a value of ∼750-800 μm, substantially larger than typical obliteration depths, 200 μm in our case for an initial profile depth of 120 μm.

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Section: ■ Results and Discussionmentioning

confidence: 65%

Section: Resultsmentioning

confidence: 73%

Reconstruction of Obliterated Characters in Polycarbonate through Spectral Imaging

et al. 2017

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“…1) has been analyzed by 3D FT-IR imaging spectroscopy. Contrary to the conservative 2D imaging technique this analytical approach offers the possibility to combine spectral and spatial information by measuring several hundred thousand spectra of laterally resolved sample positions during 360 • rotation of the sample in a relatively short time thereby providing "chemical images" of the three-dimensional blend morphology [6][7][8][9][10]. This is feasible with the Synchrotron based IRENI beamline [11] optimized for widefield microspectroscopy.…”

Section: Introductionmentioning

confidence: 99%

3D FT-IR imaging spectroscopy of phase-separation in a poly(3-hydroxybutyrate)/poly( l -lactic acid) blend

Unger¹,

Sedlmair²,

Siesler³

et al. 2014

Vibrational Spectroscopy

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“…Near-infrared imaging, which can be nondestructive and provide noncontact monitoring, has been used for investigating the distribution of different components, different morphologies, and the diffusion process of various polymers. 19–23 Although high-speed wider area imaging is an integral part of applying the NIR technique to polymer industrial situations, NIR imaging instruments with these advantages are still under development. A new NIR imaging system with a NIR spectrographic camera (Compovision) was developed recently for high-speed NIR imaging measurement under various practical situations by Sumitomo Electric Industries, Ltd.…”

Section: Introductionmentioning

confidence: 99%

Potential of a Newly Developed High-Speed Near-Infrared (NIR) Camera (Compovision) in Polymer Industrial Analyses: Monitoring Crystallinity and Crystal Evolution of Polylactic Acid (PLA) and Concentration of PLA in PLA/Poly-(R)-3-Hydroxybutyrate (PHB) Blends

et al. 2013

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This study was carried out to evaluate a new high-speed hyperspectral near-infrared (NIR) camera named Compovision. Quantitative analyses of the crystallinity and crystal evolution of biodegradable polymer, polylactic acid (PLA), and its concentration in PLA/poly-(R)-3-hydroxybutyrate (PHB) blends were investigated using near-infrared (NIR) imaging. This NIR camera can measure two-dimensional NIR spectral data in the 1000-2350 nm region obtaining images with wide field of view of 150 × 250 mm(2) (approximately 100 000 pixels) at high speeds (in less than 5 s). PLA with differing crystallinities between 0 and 50% blended samples with PHB in ratios of 80/20, 60/40, 40/60, 20/80, and pure films of 100% PLA and PHB were prepared. Compovision was used to collect respective NIR spectra in the 1000-2350 nm region and investigate the crystallinity of PLA and its concentration in the blends. The partial least squares (PLS) regression models for the crystallinity of PLA were developed using absorbance, second derivative, and standard normal variate (SNV) spectra from the most informative region of the spectra, between 1600 and 2000 nm. The predicted results of PLS models achieved using the absorbance and second derivative spectra were fairly good with a root mean square error (RMSE) of less than 6.1% and a determination of coefficient (R(2)) of more than 0.88 for PLS factor 1. The results obtained using the SNV spectra yielded the best prediction with the smallest RMSE of 2.93% and the highest R(2) of 0.976. Moreover, PLS models developed for estimating the concentration of PLA in the blend polymers using SNV spectra gave good predicted results where the RMSE was 4.94% and R(2) was 0.98. The SNV-based models provided the best-predicted results, since it can reduce the effects of the spectral changes induced by the inhomogeneity and the thickness of the samples. Wide area crystal evolution of PLA on a plate where a temperature slope of 70-105 °C had occurred was also monitored using NIR imaging. An SNV-based image gave an obvious contrast of the crystallinity around the crystal growth area according to slight temperature change. Moreover, it clarified the inhomogeneity of crystal evolution over the significant wide area. These results have proved that the newly developed hyperspectral NIR camera, Compovision, can be successfully used to study polymers for industrial processes, such as monitoring the crystallinity of PLA and the different composition of PLA/PHB blends.

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Vibrational Spectroscopy Imaging in Polymers

Cited by 8 publications

References 42 publications

Reconstruction of Obliterated Characters in Polycarbonate through Spectral Imaging

Reconstruction of Obliterated Characters in Polycarbonate through Spectral Imaging

3D FT-IR imaging spectroscopy of phase-separation in a poly(3-hydroxybutyrate)/poly( l -lactic acid) blend

Potential of a Newly Developed High-Speed Near-Infrared (NIR) Camera (Compovision) in Polymer Industrial Analyses: Monitoring Crystallinity and Crystal Evolution of Polylactic Acid (PLA) and Concentration of PLA in PLA/Poly-(R)-3-Hydroxybutyrate (PHB) Blends

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