Molecular Characterization of Plastic Waste Using Standoff Photothermal Spectroscopy

Yaoli Zhao; Patatri Chakraborty; Zixia Meng; Asalatha Nair; Amit Goyal; Thomas Thundat

doi:10.1149/2754-2726/acfb92

Molecular Characterization of Plastic Waste Using Standoff Photothermal Spectroscopy

Yaoli Zhao
, Patatri Chakraborty
, Zixia Meng
, Asalatha Nair
, Amit Goyal
, Thomas Thundat

Department of Chemical and Biological Engineering

SUNY Buffalo

Research output: Contribution to journal › Article › peer-review

10 Scopus citations

Abstract

Highlights Highly sensitive and selective standoff mid-IR system for plastic recognition. Promising solution for characterizing plastic wastes accurately. Established database of IR spectra for different plastics. Achieving 100% classification accuracy with machine learning. Identifies plastics with additives, contaminants, and black pigmentation.

Original language	English
Article number	043401
Journal	ECS Sensors Plus
Volume	2
Issue number	4
DOIs	https://doi.org/10.1149/2754-2726/acfb92
State	Published - Dec 1 2023

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title = "Molecular Characterization of Plastic Waste Using Standoff Photothermal Spectroscopy",

abstract = "Highlights Highly sensitive and selective standoff mid-IR system for plastic recognition. Promising solution for characterizing plastic wastes accurately. Established database of IR spectra for different plastics. Achieving 100\% classification accuracy with machine learning. Identifies plastics with additives, contaminants, and black pigmentation.",

author = "Yaoli Zhao and Patatri Chakraborty and Zixia Meng and Asalatha Nair and Amit Goyal and Thomas Thundat",

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AU - Zhao, Yaoli

AU - Chakraborty, Patatri

AU - Meng, Zixia

AU - Nair, Asalatha

AU - Goyal, Amit

AU - Thundat, Thomas

PY - 2023/12/1

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U2 - 10.1149/2754-2726/acfb92

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M3 - Article

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JO - ECS Sensors Plus

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Molecular Characterization of Plastic Waste Using Standoff Photothermal Spectroscopy

Abstract

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