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] |
---|
Links: |
---|
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 |
---|
LEADER | 01000naa a22002652 4500 | ||
---|---|---|---|
001 | NLM318152959 | ||
003 | DE-627 | ||
005 | 20231225164747.0 | ||
007 | cr uuu---uuuuu | ||
008 | 231225s2021 xx |||||o 00| ||eng c | ||
024 | 7 | |a 10.1016/j.saa.2020.119198 |2 doi | |
028 | 5 | 2 | |a pubmed24n1060.xml |
035 | |a (DE-627)NLM318152959 | ||
035 | |a (NLM)33248888 | ||
035 | |a (PII)S1386-1425(20)31177-X | ||
040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
041 | |a eng | ||
100 | 1 | |a Hassan, Md Mehedi |e verfasserin |4 aut | |
245 | 1 | 0 | |a Cellulose paper-based SERS sensor for sensitive detection of 2,4-D residue levels in tea coupled uninformative variable elimination-partial least squares |
264 | 1 | |c 2021 | |
336 | |a Text |b txt |2 rdacontent | ||
337 | |a ƒaComputermedien |b c |2 rdamedia | ||
338 | |a ƒa Online-Ressource |b cr |2 rdacarrier | ||
500 | |a Date Completed 14.05.2021 | ||
500 | |a Date Revised 14.05.2021 | ||
500 | |a published: Print-Electronic | ||
500 | |a Citation Status MEDLINE | ||
520 | |a Copyright © 2020 Elsevier B.V. All rights reserved. | ||
520 | |a 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) | ||
650 | 4 | |a Journal Article | |
650 | 4 | |a 2,4-Dichlorophenoxyacetic acid | |
650 | 4 | |a Cellulose paper-based SERS sensor | |
650 | 4 | |a Citrate functionalized AgNPs | |
650 | 4 | |a Green tea | |
650 | 4 | |a Surface-enhanced Raman spectroscopy | |
650 | 4 | |a Uninformative variable elimination-partial least squares | |
650 | 7 | |a Tea |2 NLM | |
650 | 7 | |a 2,4-Dichlorophenoxyacetic Acid |2 NLM | |
650 | 7 | |a 2577AQ9262 |2 NLM | |
650 | 7 | |a Silver |2 NLM | |
650 | 7 | |a 3M4G523W1G |2 NLM | |
650 | 7 | |a Cellulose |2 NLM | |
650 | 7 | |a 9004-34-6 |2 NLM | |
700 | 1 | |a Jiao, Tianhui |e verfasserin |4 aut | |
700 | 1 | |a Ahmad, Waqas |e verfasserin |4 aut | |
700 | 1 | |a Yi, Xu |e verfasserin |4 aut | |
700 | 1 | |a Zareef, Muhammad |e verfasserin |4 aut | |
700 | 1 | |a Ali, Shujat |e verfasserin |4 aut | |
700 | 1 | |a Li, Huanhuan |e verfasserin |4 aut | |
700 | 1 | |a Chen, Quansheng |e verfasserin |4 aut | |
773 | 0 | 8 | |i Enthalten in |t Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy |d 1998 |g 248(2021) vom: 05. März, Seite 119198 |w (DE-627)NLM090551192 |x 1873-3557 |7 nnns |
773 | 1 | 8 | |g volume:248 |g year:2021 |g day:05 |g month:03 |g pages:119198 |
856 | 4 | 0 | |u http://dx.doi.org/10.1016/j.saa.2020.119198 |3 Volltext |
912 | |a GBV_USEFLAG_A | ||
912 | |a GBV_NLM | ||
951 | |a AR | ||
952 | |d 248 |j 2021 |b 05 |c 03 |h 119198 |