ISN 0021 - Determination of Plasticizer Content in PVC by FT
Fourier transform near-infrared spectroscopy (FT-NIR) was used to determine the dioctyl phthalate (DOP) plasticizer content in polyvinyl chloride (PVC). The FT-NIR spectra for PVC plates were collected in the reflectance mode using the Integrating Sphere module. Data was collected for PVC films using the transmittance mode.
Determination of Plasticizer Content in PVC by FT-NIR
Determination of Plasticizer Content in PVC by FT-NIR Spectroscopy By Mark Terrell 01.15.2015 Fourier transform near-infrared spectroscopy (FT-NIR) has many advantages in comparison with traditional analytical methods. Noninvasive and nondestructive analyses can be performed.
Note: 51593 by FT-NIR Spectroscopy - Thermo Fisher Scientific
Fourier transform near-infrared spectroscopy (FT-NIR) was used to determine the dioctyl phthalate (DOP) plasticizer content in polyvinyl chloride (PVC). The FT-NIR spectra for PVC plates were collected in the reectance mode using the Integrating Sphere module. Data was collected for PVC lms using the transmittance mode.
FT-NIR Frequently Asked Questions - Advancing Materials
We have written about the use of FT-NIR spectroscopy for the determination of the hydroxyl value and other critical polyol properties to help improve polyol product quality, verification of the plasticizer content in PVC, and analysis of the density and copolymer content in polyethylene samples.
Determination of Plasticizer Content in PVC by FT-NIR
The results of this study showed that FT-NIR spectroscopy is a suitable technique for the measurement of polymer composition.
- Can FT-NIR determine plasticizer content in polyvinyl chloride (PVC)?
- Broad, overlapping and low intensity peaks usually dominate the NIR spectrum. An experiment was conducted to develop an FT-NIR method for the determination of the plasticizer content in polyvinyl chloride (PVC). PVC is used for many products such as toys, cables and foils.
- What is the plasticizer content of PVC?
- The plasticizer content differs depending on the commercial use of the material since the level of plasticizer determines the physical properties of the PVC. The plasticizer used for the material in this study was dioctyl phthalate (DOP). The amount of DOP present in PVC is typically determined by gravimetry after Soxhlet extraction.
- How accurate is the CNN model for identifying Plasticized PVC spectra?
- Overall, the CNN model classified the spectra with an accuracy of 98.39 %, F1 score of 97.66 %, precision of 99.4 %, and recall of 96.6 % as results described in the confusion matrix in Fig. 13 and Table 1. The results show that the CNN model managed to identify and differentiate the different plasticized PVC despite their close similarity.
- What ML algorithms are used to identify plasticizers used in PVC?
- ML algorithms such as Convolutional Neural Network (CNN), Random Forest (RF), Support Vector Machines (SVM), and Linear Discriminant Analysis (LDA) were applied to the classification and identification of the most common plasticizers used in the case of PVC.
- Can Raman spectroscopy differentiate between plasticizers in New and degraded PVC samples?
- In this study, we showed that Raman spectroscopy combined with machine learning algorithms can differentiate between plasticizers in new and degraded PVC samples. Normalization, data augmentation, and dimensionality reduction were applied before training to make machine learning algorithms computationally optimized.
- Which plasticizers are used in the PVC collection?
- The historical collection comprises samples of PVC plasticized with DOTP (approximately 40 % of the total), DEHP (30 %), DINP (11 %), and DEHA (1 %). Additionally, 18 % of the samples are unplasticized. The most common plasticizers in our modern and vintage PVC collections are DOTP and DEHP.
