journal article·2024-11-08Open access

Dispersive Liquid–Liquid Microextraction (DLLME) Coupled with Droplet Evaporation on an Omniphobic Nano/Micro Structured Porous Microfiber Membrane for Surface-Enhanced Raman Spectroscopy

Mohammadamin Rashidi, Xiang Yan, Chiranjeevi Kanike, Kobra Fattahi, Hongyan Wu, Nobuo Maeda, Xuehua Zhang

ACS Applied Nano Materials· Volume 7· Issue 21

Abstract

This study demonstrates an ultrasensitive method for surface-enhanced Raman spectroscopy (SERS) based on dispersive liquid–liquid microextraction (DLLME) coupled with droplet evaporation on a functionalized omniphobic microfiber membrane. The omniphobicity of the membrane was achieved by the fabrication of fractal structures using silica nanoparticles and lowering surface energy. The approach involves the preconcentration of the analyte in a ternary mixture of water–oil–ethanol, followed by collecting microemulsion droplets in an omniphobic porous microfiber membrane. A supraparticle of plasmonic nanoparticles formed from droplet evaporation on the membrane acts as hotspots for SERS detection. This method achieves exceptionally low detection limits of 10 –6 –10 –14 M for four nonvolatile and three volatile analytes of significance to food safety and environment after oil spill. The intensity of SERS signals depends on the partition coefficient of the analyte in water and oil microdroplets, the response of functional groups in the chemical structure of the analytes to Raman scattering, and the wetting properties of the microfiber membrane. The preparation method demonstrated in this work may have broad applications in the detection of pesticides in environmental monitoring, pharmaceutical waste, and hydrocarbon pollutants.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Gold and Silver Nanoparticles Synthesis and Applications · Biosensors and Analytical Detection · Innovative Microfluidic and Catalytic Techniques Innovation

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Department of Civil and Environmental Engineering, School of Mining and Petroleum Engineering

University of Alberta

Department of Chemical and Materials Engineering

Physics of Fluids Group, Max Planck Center Twente for Complex Fluid Dynamics

University of Twente

Funding

Natural Sciences and Engineering Research Council of Canada · Alberta Innovates

References (70)

Show source-provided references
1. 10.1021/acsnano.9b0422410.1021/acsnano.9b04224 ↗
2. 10.1186/s40580-024-00420-x10.1186/s40580-024-00420-x ↗
3. 10.1016/j.vibspec.2023.10360010.1016/j.vibspec.2023.103600 ↗
4. 10.1039/D3EN00461A10.1039/D3EN00461A ↗
5. 10.1016/j.cej.2023.14402310.1016/j.cej.2023.144023 ↗
6. 10.1039/D0SC00809E10.1039/D0SC00809E ↗
7. 10.1002/anie.20190815410.1002/anie.201908154 ↗
8. 10.1021/acs.energyfuels.3c0032110.1021/acs.energyfuels.3c00321 ↗
9. 10.1021/acs.energyfuels.3c0238110.1021/acs.energyfuels.3c02381 ↗
10. 10.1016/j.trac.2009.10.00310.1016/j.trac.2009.10.003 ↗
11. 10.1021/ac010018810.1021/ac0100188 ↗
12. 10.1016/j.chroma.2011.12.11010.1016/j.chroma.2011.12.110 ↗
13. 10.1007/s00604-012-0773-x10.1007/s00604-012-0773-x ↗
14. 10.1002/jssc.20210060910.1002/jssc.202100609 ↗
15. 10.1016/j.chroma.2006.03.00710.1016/j.chroma.2006.03.007 ↗
16. 10.1103/RevModPhys.87.98110.1103/RevModPhys.87.981 ↗
17. 10.1016/j.cej.2024.14925210.1016/j.cej.2024.149252 ↗
18. 10.1063/5.012191210.1063/5.0121912 ↗
19. 10.1016/j.talanta.2019.12036010.1016/j.talanta.2019.120360 ↗
20. 10.1039/D2AY01321E10.1039/D2AY01321E ↗
21. 10.1016/j.talanta.2017.07.07210.1016/j.talanta.2017.07.072 ↗
22. 10.1002/smll.20180468310.1002/smll.201804683 ↗
23. 10.1016/j.saa.2023.12366510.1016/j.saa.2023.123665 ↗
24. 10.1016/j.cej.2023.14401910.1016/j.cej.2023.144019 ↗
25. 10.1007/s00604-022-05261-110.1007/s00604-022-05261-1 ↗
26. 10.1002/jsfa.1209810.1002/jsfa.12098 ↗
27. 10.1016/j.saa.2021.11999610.1016/j.saa.2021.119996 ↗
28. 10.1016/j.foodchem.2023.13712010.1016/j.foodchem.2023.137120 ↗
29. 10.1016/j.envpol.2022.12077510.1016/j.envpol.2022.120775 ↗
30. 10.1021/acsanm.2c0376910.1021/acsanm.2c03769 ↗
31. 10.1016/j.sna.2022.11381610.1016/j.sna.2022.113816 ↗
32. 10.1039/D1RA09286C10.1039/D1RA09286C ↗
33. 10.1021/acs.langmuir.3c0334010.1021/acs.langmuir.3c03340 ↗
34. 10.1002/adma.20240557610.1002/adma.202405576 ↗
35. 10.1016/j.saa.2023.12272110.1016/j.saa.2023.122721 ↗
36. 10.1016/j.saa.2022.12193010.1016/j.saa.2022.121930 ↗
37. 10.1016/j.talanta.2022.12412810.1016/j.talanta.2022.124128 ↗
38. 10.1016/j.scitotenv.2022.15910810.1016/j.scitotenv.2022.159108 ↗
39. 10.1016/j.foodchem.2020.12642910.1016/j.foodchem.2020.126429 ↗
40. 10.1016/j.microc.2024.11039610.1016/j.microc.2024.110396 ↗
41. 10.1016/j.foodchem.2022.13424110.1016/j.foodchem.2022.134241 ↗
42. 10.1016/j.foodchem.2022.13407810.1016/j.foodchem.2022.134078 ↗
43. 10.1016/j.talanta.2021.12281910.1016/j.talanta.2021.122819 ↗
44. 10.1016/j.apsusc.2022.15415310.1016/j.apsusc.2022.154153 ↗
45. 10.1016/j.optlastec.2023.10989610.1016/j.optlastec.2023.109896 ↗
46. 10.1016/j.jhazmat.2024.13389310.1016/j.jhazmat.2024.133893 ↗
47. 10.1016/j.saa.2020.11825010.1016/j.saa.2020.118250 ↗
48. 10.1021/acsami.2c1168210.1021/acsami.2c11682 ↗
49. 10.1002/adma.20210519910.1002/adma.202105199 ↗
50. 10.1021/acs.langmuir.9b0246410.1021/acs.langmuir.9b02464 ↗
51. 10.1039/D0SM01346C10.1039/D0SM01346C ↗
52. 10.1021/acsami.3c0771910.1021/acsami.3c07719 ↗
53. 10.1016/j.cocis.2023.10174410.1016/j.cocis.2023.101744 ↗
54. 10.1073/pnas.160226011310.1073/pnas.1602260113 ↗
55. 10.1002/admi.20220199810.1002/admi.202201998 ↗
56. 10.1021/ed100166g10.1021/ed100166g ↗
57. 10.1016/j.jcis.2022.01.02410.1016/j.jcis.2022.01.024 ↗
58. 10.3390/polym1416328910.3390/polym14163289 ↗
59. Mihály J. · Croat. Chem. Acta · 2006 · 79 · 497
60. 10.1039/tf944400054610.1039/tf9444000546 ↗
61. 10.1021/acsami.7b0352610.1021/acsami.7b03526 ↗
62. 10.1021/jz900286a10.1021/jz900286a ↗
63. 10.1021/ja805142710.1021/ja8051427 ↗
64. 10.1021/acs.langmuir.2c0185310.1021/acs.langmuir.2c01853 ↗
65. 10.1021/acs.jpcc.0c0607810.1021/acs.jpcc.0c06078 ↗
66. 10.3390/nano903035510.3390/nano9030355 ↗
67. 10.1016/j.foodchem.2021.12971710.1016/j.foodchem.2021.129717 ↗
68. 10.1007/s11468-007-9044-910.1007/s11468-007-9044-9 ↗
69. 10.3390/s1711268910.3390/s17112689 ↗
70. 10.1016/j.saa.2022.12205710.1016/j.saa.2022.122057 ↗