Show source-provided references
3. Ghosh, S., Sinha, J.K., Ghosh, S., Vashisth, K., Han, S., and Bhaskar, R. (2023). Microplastics as an Emerging Threat to the Global Environment and Human Health. Sustainability, 15.
10.3390/su151410821 ↗6. Synani, K., Abeliotis, K., Velonia, K., Maragkaki, A., Manios, T., and Lasaridi, K. (2024). Environmental Impact and Sustainability of Bioplastic Production from Food Waste. Sustainability, 16.
10.3390/su16135529 ↗8. Liu, F.-F., Wang, S.-C., Zhu, Z.-L., and Liu, G.-Z. (2021). Current Progress on Marine Microplastics Pollution Research: A Review on Pollution Occurrence, Detection, and Environmental Effects. Water, 13.
10.3390/w13121713 ↗10. Kumar, A., and Singh, V. (2024). Microplastics Detection Techniques BT-Microplastics Pollution and its Remediation, Springer Nature.
10.1007/978-981-97-4068-0 ↗11. A review of recent progress in the application of Raman spectroscopy and SERS detection of microplastics and derivatives
10.1007/s00604-023-06044-y ↗12. Thomas, D., Schütze, B., Heinze, W.M., and Steinmetz, Z. (2020). Sample Preparation Techniques for the Analysis of Microplastics in Soil—A Review. Sustainability, 12.
10.3390/su12219074 ↗13. Subharthe, S., and Clarke, B. (2025, February 25). From Collection to Analysis: A Practical Guide to Sample Preparation and Processing of Microplastics. Agilent, 2024. Available online: https://www.agilent.com/cs/library/technicaloverviews/public/te-microplastics-sample-preparation-guide-8700-ldir-5994-7587en-agilent.pdf.
14. Vojnović, B., Mihovilović, P., and Dimitrov, N. (2024). Approaches for Sampling and Sample Preparation for Microplastic Analysis in Laundry Effluents. Sustainability, 16.
10.3390/su16083401 ↗15. Surface-Enhanced Raman Spectroscopy Facilitates the Detection of Microplastics <1 μm in the Environment
10.1021/acs.est.0c02317 ↗17. Cobos, A.G.Z., Amón, J., León, E., and Caballero, P. (2024). Standardization of FTIR-Based Methodologies for Microplastics Detection in Drinking Water: A Meta-Analysis Indeed and Practical Approach. Water, 16.
10.3390/w16223170 ↗18. Development of a rapid detection protocol for microplastics using reflectance-FTIR spectroscopic imaging and multivariate classification
10.1039/D2VA00313A ↗21. Present and future opportunities in the use of atomic force microscopy to address the physico-chemical properties of aquatic ecosystems at the nanoscale level
22. Development of an optimal filter substrate for the identification of small microplastic particles in food by micro-Raman spectroscopy
10.1007/s00216-017-0358-y ↗24. Facile and rapid production of conductive flexible films by deposition of polythiophene nanoparticles on transparent poly(ethyleneterephthalate): Electrical and morphological properties
10.1016/j.mssp.2013.12.032 ↗25. López Galindo, E., Sarabia, C.H., Pérez Aguilar, J.A., and Gómez Vieyra, A. (2016). Espectrofotometría del PET y PVC basado en Transmitancia. Rev. Tend. Docencia Investig. Química, 2, Available online: https://zaloamati.azc.uam.mx/items/d5d3556b-64fb-4231-914e-b1f5de1cf6cc.
26. Martinez-Hernandez, U., West, G., and Assaf, T. (2024). Low-Cost Recognition of Plastic Waste Using Deep Learning and a Multi-Spectral Near-Infrared Sensor. Sensors, 24.
10.3390/s24092821 ↗27. Endo, T., Gemma, A., Mitsuyoshi, R., Kodama, H., Asaka, D., Kono, M., Mochizuki, T., Kojima, H., Iwamoto, T., and Saito, S. (2021). Discussion on effect of material on UV reflection and its disinfection with focus on Japanese Stucco for interior wall. Sci. Rep., 11.
10.1038/s41598-021-01315-1 ↗28. Advancing Microplastic Detection Technology through Digital Image Processing, Fractal Analysis, and Polynomial Approximation Methods
10.1093/mam/ozae044.195 ↗29. Bergmann, M., Gutow, L., and Klages, M. (2015). Methodology Used for the Detection and Identification of Microplastics—A Critical Appraisal BT-Marine Anthropogenic Litter, Springer International Publishing.
10.1007/978-3-319-16510-3 ↗30. Woo, H., Seo, K., Choi, Y., Kim, J., Tanaka, M., Lee, K., and Choi, J. (2021). Methods of Analyzing Microsized Plastics in the Environment. Appl. Sci., 11.
10.3390/app112210640 ↗31. Würth Elektronik eiSos GmbH & Co. KG. (2023, December 13). Würth Elektronik. Available online: https://www.we-online.com/de.
33. Systemes, D. (2024, January 20). SolidWorks. SolidWorks Corporation. Available online: https://my.solidworks.com/try-solidworks?mktid=13827&utm_campaign=202007_nam_sw_BINGSWOPT_en_XOP2064_rise_brand_mx_exact&utm_medium=cpc&utm_source=bing&utm_content=search&utm_term=4de94bc1938718e0f04e2de9168f55c0&gclid=4de94bc1938718e0f04e2de9168f55c0&gcl.
34. Raspberry Pi Foundation (2024, January 20). About Us. Available online: https://www.raspberrypi.com/about/.
35. Autodesk, Inc (2024, January 20). Autodesk EAGLE. Available online: http://eagle.autodesk.com/.
36. (2024, January 25). JLCPCB. Available online: https://jlcpcb.com/.
37. Pini, A. (2023, November 20). The Basics of Photodiodes and Phototransistors and How to Apply Them. Contributed By DigiKey’s North American Editors. Available online: https://www.digikey.com/en/articles/the-basics-of-photodiodes-and-phototransistors-and-how-to-apply-them.
38. VISHAY (2023, December 15). BPW34. Vishay Semiconductors, Available online: https://www.vishay.com/docs/81521/bpw34.pdf.
39. Slávik, R., and Čekon, M. (2016, January 15–17). Correction Factor Estimating of Silicon PIN Photodiode Derived from Outdoor Long-Term Measurement. Proceedings of the ATF2016 4th Conference on Building Physics and Applied Technology in Architecture and Building Structures, Leuven, Belgium. Available online: https://www.researchgate.net/publication/311970903_CORRECTION_FACTOR_ESTIMATING_OF_SILICON_PIN_PHOTODIODE_DERIVED_FROM_OUTDOOR_LONGTERM_MEASUREMENT.
40. Aponte Suárez, R.A., Serrato Sosa, J.M., and Rojas Castellanos, M.R. (2024, March 16). Informe №6: Amplificadores Operacionales. April 2015. Available online: https://www.researchgate.net/publication/327656561_Informe_No6_amplificadores_operacionales.
41. Doucet, A., Isaac, A., Golub, K., Aalberg, T., and Jatowt, A. (2019). User Interface for Interactive Scientific Publications: A Design Case Study BT-Digital Libraries for Open Knowledge, Springer International Publishing.
10.1007/978-3-030-30760-8 ↗42. Bass, L.J., and Unger, C. (, January August). A software engineering view of user interface design BT-Engineering for Human-Computer Interaction. Proceedings of the IFIP TC2/WG2.7 Working Conference on Engineering for Human-Computer Interaction, Yellowstone Park, WY, USA.
43. Massarelli, C., Campanale, C., and Uricchio, V. (2021). A Handy Open-Source Application Based on Computer Vision and Machine Learning Algorithms to Count and Classify Microplastics. Water, 13.
10.3390/w13152104 ↗