Cellulose paper-based SERS sensor for sensitive detection of 2,4-D residue levels in tea coupled uninformative variable elimination-partial least squares

Copyright © 2020 Elsevier B.V. All rights reserved..

Food safety is a growing concern in recent years. This work presents the design of a simple and sensitive method for predicting 2,4-D (2,4-dichlorophenoxyacetic acid) residue levels in green tea extract employing surface-enhanced Raman spectroscopy (SERS) coupled uninformative variable elimination-partial least squares (UVE-PLS). Herein, SERS active citrate functionalized silver nanoparticles (AgNPs) with enhancement factor 1.51 × 108 was used to prepare cellulose paper (common office) templated SERS sensor for acquiring SERS spectra of 2,4-D. The principle of the work was based on the interaction between 2,4-D and citrate group of AgNPs via chlorine atoms in the concentration range 1.0 × 10-4 to 1.0 × 103 µg/g. Three different wavenumber selection chemometric algorithms were studied comparatively to build an optimum calibration model, among them UVE-PLS showed enhanced performance as evident from the RPD value of 6.01 and Rp = 0.9864. Under optimized experimental condition proposed paper-based SERS sensor exhibited detection limit and RSD of 1.0 × 10-4 µg/g and <5%, respectively. In addition, the validation results by HPLC method were satisfactory (p > 0.05).

Medienart:

E-Artikel

Erscheinungsjahr:

2021

Erschienen:

2021

Enthalten in:

Zur Gesamtaufnahme - volume:248

Enthalten in:

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy - 248(2021) vom: 05. März, Seite 119198

Sprache:

Englisch

Beteiligte Personen:

Hassan, Md Mehedi [VerfasserIn]
Jiao, Tianhui [VerfasserIn]
Ahmad, Waqas [VerfasserIn]
Yi, Xu [VerfasserIn]
Zareef, Muhammad [VerfasserIn]
Ali, Shujat [VerfasserIn]
Li, Huanhuan [VerfasserIn]
Chen, Quansheng [VerfasserIn]

Links:

Volltext

Themen:

2,4-Dichlorophenoxyacetic Acid
2,4-Dichlorophenoxyacetic acid
2577AQ9262
3M4G523W1G
9004-34-6
Cellulose
Cellulose paper-based SERS sensor
Citrate functionalized AgNPs
Green tea
Journal Article
Silver
Surface-enhanced Raman spectroscopy
Tea
Uninformative variable elimination-partial least squares

Anmerkungen:

Date Completed 14.05.2021

Date Revised 14.05.2021

published: Print-Electronic

Citation Status MEDLINE

doi:

10.1016/j.saa.2020.119198

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM318152959