Towards solving the reproducibility crisis in surface-enhanced Raman spectroscopy-based pesticide detection; Science of The Total Environment; Vol. 935
| Parent link: | Science of The Total Environment.— .— Amsterdam: Elsevier Science Publishing Company Inc. Vol. 935.— 2024.— Article number 173262, 13 p. |
|---|---|
| Körperschaft: | |
| Weitere Verfasser: | , , , , , , , |
| Zusammenfassung: | Title screen Growing concerns about pesticide residues in agriculture are pushing the scientific community to develop innovative and efficient methods for detecting these substances at low concentrations down to the molecular level. In this context, surface-enhanced Raman spectroscopy (SERS) is a powerful analytical method that has so far already undergone some validation for its effectiveness in pesticide detection. However, despite its great potential, SERS faces significant difficulties obtaining reproducible and accurate pesticide spectra, particularly for some of the most widely used pesticides, such as malathion, chlorpyrifos, and imidacloprid. Those inconsistencies can be attributed to several factors, such as interactions between pesticides and SERS substrates and the variety of substrates and solvents used. In addition, differences in the equipment used to obtain SERS spectra and the lack of standards for control experiments further complicate the reproducibility and reliability of SERS data. This review systematically discusses the problems mentioned above, including a comprehensive analysis of the challenges in precisely evaluating SERS spectra for pesticide detection. We not only point out the existing limitations of the method, which can be traced in previous review works, but also offer practical recommendations to improve the quality and comparability of SERS spectra, thereby expanding the potential applications of the method in such an essential field as pesticide detection. Текстовый файл AM_Agreement |
| Sprache: | Englisch |
| Veröffentlicht: |
2024
|
| Schlagworte: | |
| Online-Zugang: | https://doi.org/10.1016/j.scitotenv.2024.173262 |
| Format: | Elektronisch Buchkapitel |
| KOHA link: | https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=673553 |
MARC
| LEADER | 00000naa0a2200000 4500 | ||
|---|---|---|---|
| 001 | 673553 | ||
| 005 | 20241028152002.0 | ||
| 090 | |a 673553 | ||
| 100 | |a 20240704d2024 k||y0rusy50 ba | ||
| 101 | 0 | |a eng | |
| 102 | |a NL | ||
| 135 | |a drcn ---uucaa | ||
| 181 | 0 | |a i |b e | |
| 182 | 0 | |a b | |
| 183 | 0 | |a cr |2 RDAcarrier | |
| 200 | 1 | |a Towards solving the reproducibility crisis in surface-enhanced Raman spectroscopy-based pesticide detection |f Andrey Averkiev, Raul D. Rodriguez, Maxim Fatkullin [et al.] | |
| 203 | |a Текст |c электронный |b визуальный | ||
| 283 | |a online_resource |2 RDAcarrier | ||
| 300 | |a Title screen | ||
| 330 | |a Growing concerns about pesticide residues in agriculture are pushing the scientific community to develop innovative and efficient methods for detecting these substances at low concentrations down to the molecular level. In this context, surface-enhanced Raman spectroscopy (SERS) is a powerful analytical method that has so far already undergone some validation for its effectiveness in pesticide detection. However, despite its great potential, SERS faces significant difficulties obtaining reproducible and accurate pesticide spectra, particularly for some of the most widely used pesticides, such as malathion, chlorpyrifos, and imidacloprid. Those inconsistencies can be attributed to several factors, such as interactions between pesticides and SERS substrates and the variety of substrates and solvents used. In addition, differences in the equipment used to obtain SERS spectra and the lack of standards for control experiments further complicate the reproducibility and reliability of SERS data. This review systematically discusses the problems mentioned above, including a comprehensive analysis of the challenges in precisely evaluating SERS spectra for pesticide detection. We not only point out the existing limitations of the method, which can be traced in previous review works, but also offer practical recommendations to improve the quality and comparability of SERS spectra, thereby expanding the potential applications of the method in such an essential field as pesticide detection. | ||
| 336 | |a Текстовый файл | ||
| 371 | 0 | |a AM_Agreement | |
| 461 | 1 | |t Science of The Total Environment |c Amsterdam |n Elsevier Science Publishing Company Inc. | |
| 463 | 1 | |t Vol. 935 |v Article number 173262, 13 p. |d 2024 | |
| 610 | 1 | |a электронный ресурс | |
| 610 | 1 | |a труды учёных ТПУ | |
| 610 | 1 | |a Pesticides detection | |
| 610 | 1 | |a SERS | |
| 610 | 1 | |a Raman spectroscopy | |
| 610 | 1 | |a Malathion | |
| 610 | 1 | |a Chlorpyrifos | |
| 610 | 1 | |a Imidacloprid | |
| 701 | 1 | |a Averkiev |b A. A. |c Specialist in the field of electronics |c Research Engineer of Tomsk Polytechnic University |f 1996- |g Andrey Alekseevich |9 22723 | |
| 701 | 1 | |a Rodriguez (Rodriges) Contreras |b R. D. |c Venezuelan physicist, doctor of science |c Professor of Tomsk Polytechnic University |f 1982- |g Raul David |9 21179 | |
| 701 | 1 | |a Fatkullin |b M. I. |c chemical engineer |c Engineer of Tomsk Polytechnic University |f 1997- |g Maksim Ilgizovich |9 22844 | |
| 701 | 1 | |a Lipovka |b A. A. |c chemist |c Associate Scientist of Tomsk Polytechnic University |f 1993- |g Anna Anatolyevna |y Tomsk |9 21753 | |
| 701 | 0 | |a Yang Bin | |
| 701 | 0 | |a Jia Xin | |
| 701 | 1 | |a Kanoun |b O. |g Olfa | |
| 701 | 1 | |a Sheremet |b E. S. |c physicist |c Professor of Tomsk Polytechnic University |f 1988- |g Evgeniya Sergeevna |9 21197 | |
| 712 | 0 | 2 | |a National Research Tomsk Polytechnic University |9 27197 |4 570 |
| 801 | 0 | |a RU |b 63413507 |c 20240704 |g RCR | |
| 856 | 4 | |u https://doi.org/10.1016/j.scitotenv.2024.173262 |z https://doi.org/10.1016/j.scitotenv.2024.173262 | |
| 942 | |c CR | ||