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Research has shown microplastic particles to be pervasive pollutants in the natural environment, but labor-intensive sample preparation, data acquisition, and analysis protocols continue to be necessary to navigate their diverse chemistry. Machine learning (ML) classification models have shown promise for identifying microplastics from their Raman spectra, but all attempts to date have focused on the lower energy "fingerprint" region of the spectrum. We explore strategies to improve ML classification models based on the -nearest-neighbor algorithm by including other regions of the Raman spectra.

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3D printing is a popular and cost-effective method for producing lightweight engineering parts with enhanced characteristics and detailed prototypes. Nevertheless, the quality of the print can be diminished by the selection of improper parameter settings. This investigation explored the impact of printing factors on the tensile behavior of polylactic acid (PLA) and Acrylonitrile Butadiene Styrene (ABS) specimens.

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Article Synopsis
  • The paper focuses on optimizing FDM (Fused Deposition Modeling) parameters, specifically layer height (L) and infill density percentage (I), for creating tensile and compression samples from recycled PETG and ASA materials.
  • The study employs value analysis to balance mechanical strength and production cost, revealing that layer height primarily affects tensile samples made from rPETG, while infill density is crucial for rASA samples.
  • Ultimately, the research identifies optimal FDM settings (L = 0.20 mm and I = 100%) for producing parts from recycled materials, supporting circular economy practices in manufacturing.
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An efficient probe (E)-2-(benzo[d]thiazol-2-yl)-3-(9-ethyl-9 H-carbazol-3-yl)acrylonitrile (CZ-BTZ) for selective fluorescence "turn-on" response with cyanide (CN) ion sensor was developed by simple Knoevenagel condensation of 9-ethyl-9 H carbazole-3-carbaldehyde with 2-(benzo[d]thiazol-2-yl) acetonitrile. The sensing ability of probe CZ-BTZ was tested with different inorganic anions through spectrophotometric and spectrofluorimetric methods. The UV-vis and fluorescence spectral studies show the formation of a new adduct between CZ-BTZ and CN by appearing with a new absorbance band at 350 nm and "turn-on" fluorescence at 535 nm in CHCN: HO (8:2, v/v, pH 7.

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In the work presented here, we explore the upcycling of polyethylene terephthalate (PET) that was derived from water bottles. The material was granulated and extruded into a filament compatible with fused filament fabrication (FFF) additive manufacturing platforms. Three iterations of PET combined with a thermoplastic elastomer, styrene ethylene butylene styrene with a maleic anhydride graft (SEBS-g-MA), were made with 5, 10, and 20% by mass elastomer content.

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