Thermal Degradation Threshold in Ag@Chondroitin Sulfate Memristors Revealed by Temperature‐Resolved Raman Spectroscopy

ABSTRACT Organic memristors (OMEMRs) based on biopolymeric matrices functionalized with silver nanoparticles (AgNPs) are emerging as promising candidates for next‐generation non‐volatile memory technologies, owing to their multilevel resistive switching behavior, scalability, and compatibility with solution‐processable fabrication methods. In this study, AgNPs were coordinated with chondroitin sulfate (ChS) to produce Ag@ChS‐based OMEMRs, which were fabricated via spin‐coating and subjected to a comprehensive thermal stability assessment using temperature‐resolved Raman spectroscopy over the 25°C–275°C range. The Raman spectra revealed a prominent vibrational mode at 76 cm −1 , attributed to AgNP lattice dynamics, along with a distinct Ag–O stretching feature near 240 cm −1 , indicative of coordination with carboxylate groups within the ChS matrix. A marked attenuation of sulfate‐associated Raman bands was observed at approximately 175°C, signifying a critical degradation threshold associated with desulfation, interfacial breakdown, and irreversible loss of memristive functionality. These findings demonstrate that Raman spectroscopy provides a sensitive, non‐destructive platform for probing thermally induced molecular transformations and diagnosing early‐stage failure in biopolymer‐based memristive systems. The insights gained herein offer valuable guidance for the rational design of thermally robust organic memory devices.

Authors

Institutions

Publication Details

Journal
Journal of Raman Spectroscopy
Published
2025-08-12
DOI
https://doi.org/10.1002/jrs.70039
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Thermal Degradation Threshold in Ag@Chondroitin Sulfate Memristors Revealed by Temperature‐Resolved Raman Spectroscopy

Álvaro Antônio Alencar de Queiroz, Marcelo B. Andrade, Alfredo Antonio Alencar Exposito de Queiroz
3 links
Journal of Raman Spectroscopy
Advanced Memory and Neural Computing
article

Thermal Degradation Threshold in Ag@Chondroitin Sulfate Memristors Revealed by Temperature‐Resolved Raman Spectroscopy

Álvaro Antônio Alencar de Queiroz, Marcelo B. Andrade, Alfredo Antonio Alencar Exposito de Queiroz
article en

Abstract

ABSTRACT Organic memristors (OMEMRs) based on biopolymeric matrices functionalized with silver nanoparticles (AgNPs) are emerging as promising candidates for next‐generation non‐volatile memory technologies, owing to their multilevel resistive switching behavior, scalability, and compatibility with solution‐processable fabrication methods. In this study, AgNPs were coordinated with chondroitin sulfate (ChS) to produce Ag@ChS‐based OMEMRs, which were fabricated via spin‐coating and subjected to a comprehensive thermal stability assessment using temperature‐resolved Raman spectroscopy over the 25°C–275°C range. The Raman spectra revealed a prominent vibrational mode at 76 cm −1 , attributed to AgNP lattice dynamics, along with a distinct Ag–O stretching feature near 240 cm −1 , indicative of coordination with carboxylate groups within the ChS matrix. A marked attenuation of sulfate‐associated Raman bands was observed at approximately 175°C, signifying a critical degradation threshold associated with desulfation, interfacial breakdown, and irreversible loss of memristive functionality. These findings demonstrate that Raman spectroscopy provides a sensitive, non‐destructive platform for probing thermally induced molecular transformations and diagnosing early‐stage failure in biopolymer‐based memristive systems. The insights gained herein offer valuable guidance for the rational design of thermally robust organic memory devices.

Journal of Raman SpectroscopyVol. 57(1)
Instituto Tecnológico de Aeronáutica (BR), Universidade Federal de Ouro Preto (BR), Universidade Federal de São Carlos (BR), Universidade de São Paulo (BR), Instituto de Pesquisas Energéticas e Nucleares (BR), National Nuclear Energy Commission (BR)
Fundação de Amparo à Pesquisa do Estado de São Paulo, Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
Openalex Percentile: Top 81%
Advanced Memory and Neural Computing
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.