Applying confocal Raman spectroscopy and different linear multivariate analyses to sort polyethylene residues

Silva, Daniel José da; Parra, Duclerc F.; Wiebeck, Hélio

doi:10.1016/j.cej.2021.131344

Cited by 23 publications

(9 citation statements)

References 92 publications

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“…Raman shift lines, in the range of 800-3100 cm −1 , of the ZnO (< 5 µm) contain-ing film are depicted in Figure 2a, after fluorescence background subtraction. The observed lines correspond to LDPE and are in very good agreement with the literature [32][33][34][35][36]. The 1060 cm −1 and 1126 cm −1 lines arise from vibrations of the asymmetric and symmetric -C-C stretching, respectively.…”

Section: Resultssupporting

confidence: 89%

Comparative Study of Polyethylene Films Embedded with Oxide Nanoparticles of Granulated and Free-Standing Nature

et al. 2022

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Nanocomposite polymer films are a very diverse research field due to their many applications. The search for low-cost, versatile methods, producing regulated properties of the final products, has thus become extremely relevant. We have previously reported a bulk-scale process, dispersing granulated metal oxide nanoparticles, of both unary and multi-component nature, in a low-density polyethylene (LDPE) polymer matrix, establishing a reference in the produced films’ optical properties, due to the high degree of homogeneity and preservation of the primary particle size allowed by this method. In this work, unmodified, free-standing particles, namely zinc oxide (ZnO), titanium dioxide (TiO2), aluminum oxide (Al2O3), and silicon dioxide (SiO2) are blended directly with LDPE, and the optical properties of the fabricated films are compared to those of films made using the granulation process. The direct blending process evidently allows for control of the secondary particle size and ensures a homogeneous dispersion of the particles, albeit to a lesser extent than the granulation process. Despite the secondary particle size being comparatively larger than its granulated counterpart, the process still provides a regulated degree of deagglomeration of the free-standing oxide particles, so it can be used as a low-cost alternative. The regulation of the secondary particle size tunes the transmission and reflection spectra, in both unary and mixed oxide compositions. Finally, the direct blending process exhibits a clear ability to tune the energy band gap in mixed oxides.

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Section: Resultssupporting

confidence: 89%

Comparative Study of Polyethylene Films Embedded with Oxide Nanoparticles of Granulated and Free-Standing Nature

et al. 2022

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“…According to the supplier, the PVC presents well-dispersed microparticles of calcium carbonate (CaCO 3 ) and titanium dioxide (TiO 2 ). CaCO 3 is an inorganic material widely applied in the polymer industry as a filler to reduce the cost of products based on commodity thermoplastics ( Rocha et al, 2018 ; da Silva et al, 2021a ). TiO 2 is extensively utilized in the polymer industry as a white pigment and UV-blocking additive to hamper polymer degradation occasioned by UV exposition ( da Silva et al, 2018 ).…”

Section: Resultsmentioning

confidence: 99%

PVC containing silver nanoparticles with antimicrobial properties effective against SARS-CoV-2

et al. 2023

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Poly (vinyl chloride) (PVC) is commonly used to manufacture biomedical devices and hospital components, but it does not present antimicrobial activity enough to prevent biofouling. With the emergence of new microorganisms and viruses, such as Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) that was responsible for the global pandemic caused by Coronavirus Disease 2019 (COVID-19), it is evident the importance of the development of self-disinfectant PVC for hospital environments and medical clinics where infected people remain for a long time. In this contribution, PVC nanocomposites with silver nanoparticles (AgNPs) were prepared in the molten state. AgNPs are well-known as antimicrobial agents suitable for designing antimicrobial polymer nanocomposites. Adding 0.1 to 0.5 wt% AgNPs significantly reduced Young’s modulus and ultimate tensile strength of PVC due to the emergence of microstructural defects in the PVC/AgNP nanocomposites, but the impact strength did not change significantly. Furthermore, nanocomposites have a higher yellowness index (YI) and lower optical bandgap values than PVC. The PVC/AgNP nanocomposites present virucidal activity against SARS-CoV-2 (B.1.1.28 strain) within 48 h when the AgNP content is at least 0.3 wt%, suitable for manufacturing furniture and hospital equipment with self-disinfectant capacity to avoid secondary routes of COVID-19 contagion.

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“…PCA is one of the most significant and popular chemometric tools used to visualize trends or patterns in data and identify outliers. [55][56][57] It performs dimensionality reduction by computing linear combinations of the original variables known as principal components. PCA does not distort the initial data because its primary feature is designed to extract key parameters from the dataset and locate similarities or differences using dimensionality reduction while minimizing information loss.…”

Section: Resultsmentioning

confidence: 99%

Machine Learning‐Driven 3D Plasmonic Cavity‐in‐Cavity Surface‐Enhanced Raman Scattering Platform with Triple Synergistic Enhancement Toward Label‐Free Detection of Antibiotics in Milk

Fang

Lin

Liang

et al. 2022

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The surface‐enhanced Raman scattering (SERS) technique with ultrahigh sensitivity has gained attention to meet the increasing demands for food safety analysis. The integration of machine learning and SERS facilitates the practical applicability of sensing devices. In this study, a machine learning‐driven 3D plasmonic cavity‐in‐cavity (CIC) SERS platform is proposed for sensitive and quantitative detection of antibiotics. The platform is prepared by transferring truncated concave nanocubes (NCs) to an obconical‐shaped template surface. Owing to the triple synergistic enhancement effect, the highly ordered 3D CIC arrays improve the simulated electromagnetic field intensity and experimental SERS activity, demonstrating a 33.1‐fold enhancement compared to a typical system consisting of Au NCs deposited on a flat substrate. The integration of machine learning and Raman spectroscopy eliminates subjective judgments on the concentration of detectors using a single feature peak and achieves accurate identification. The machine learning‐driven CIC SERS platform is capable of detecting ampicillin traces in milk with a detection limit of 0.1 ppm, facilitating quantitative analysis of different concentrations of ampicillin. Therefore, the proposed platform has potential applications in food safety monitoring, health care, and environmental sampling.

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Applying confocal Raman spectroscopy and different linear multivariate analyses to sort polyethylene residues

Cited by 23 publications

References 92 publications

Comparative Study of Polyethylene Films Embedded with Oxide Nanoparticles of Granulated and Free-Standing Nature

Comparative Study of Polyethylene Films Embedded with Oxide Nanoparticles of Granulated and Free-Standing Nature

PVC containing silver nanoparticles with antimicrobial properties effective against SARS-CoV-2

Machine Learning‐Driven 3D Plasmonic Cavity‐in‐Cavity Surface‐Enhanced Raman Scattering Platform with Triple Synergistic Enhancement Toward Label‐Free Detection of Antibiotics in Milk

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