Work

Carbon dots from Manila tamarind for heavy metal ion removal and sensing through automatic classification

Year: 2026

Type: article

Abstract: states, respectively. The spectral and statistical features were analyzed for possible identification of 17 different metal ions through machine learning approaches. The demonstrated multifunctionality of the suggested carbon-based optical nanoprobes toward the heavy metal ion identification/removal and/or reduction can be applied in wastewater treatment and water quality assessment.

Source: iScience

DOI: 10.1016/j.isci.2026.115025

Authors: Simei Darinel Torres Landa, Luis Felipe Ávalos Ruiz, José Francisco Gómez Aguilar, Vivechana Agarwal

Institution: Universidad Autónoma del Estado de Morelos

Language: English

Topic: Carbon and Quantum Dots Applications

Subfield: Materials Chemistry

Field: Materials Science

Domain: Physical Sciences

SDG: Clean water and sanitation

Open Access status: gold

Estimated APC paid: $3,240