journal article·2026

Etching-based plasmonic sensing mechanisms in metallic nanostructures: advances and applications in food safety and environmental monitoring

Farzaneh Shalileh, Morteza Hosseini, Fahimeh Namjoo, Guobao Xu, Hossein Sabahi, Mehdi Dadmehr

Nanoscale· Volume 18· Issue 10
Publisher page

Abstract

The health of humans is closely linked to the quality of food and the environment. Various pollutants including heavy metals, pathogens, antibiotic residues, and toxins can adversely affect food safety and environmental sustainability, posing significant risks to human well-being. Therefore, continuous monitoring of food and environmental safety is essential. Traditional methods for monitoring these factors include culture-based techniques for pathogens, immunological assays, and chromatography. Although effective, these methods often suffer from drawbacks such as complexity, time consumption, and the need for skilled operators. However, emerging sensing technologies present a promising alternative to address these challenges. A diverse array of sensing approaches utilizing nanomaterials have emerged, offering versatility across various analytes. The unique optical properties of nanomaterials have particularly advanced the field of optical sensing. The localized surface plasmon resonance (LSPR) characteristics of nanomaterials, dependent on their size, morphology, and structure, make them valuable tools for fabricating optical sensors. Optical sensing can be executed through several methods including etching processes that oxidize metal atoms in nanostructures into soluble ions. This oxidation correlates with changes in the LSPR spectra and is often accompanied by observable color changes in samples. Given the critical need for food and environmental monitoring and the intriguing optical properties of analytes detectable through etching-based approaches, this review aims to comprehensively discuss the recent advancements in etching-based detection methods for significant analytes in food technology and environmental analysis and the mechanisms of nanomaterial etching; additionally, it provides insights into various metallic nanomaterials with distinct morphologies. Unlike previous reviews that have primarily focused on gold nanoparticles or nanorods, this work offers a broader and more comparative perspective by integrating gold, silver, and hybrid nanostructures with diverse morphologies, extending beyond the narrower focus of earlier studies. The review further highlights that anisotropic nanostructures such as nanorods, nanostars, and nanoplates exhibit superior LSPR tunability and sensitivity in etching-based biosensing, while core-shell and hybrid architectures offer greater versatility for controlled etching. By summarizing these relationships and the most effective etching mechanisms for specific analyte categories, this review provides a concise reference for designing high-performance plasmonic sensors for food and environmental monitoring.
Source: openalex_inverted_index · Quality: candidate unverified · Source record ↗

Research context

OpenAlex topics: Gold and Silver Nanoparticles Synthesis and Applications · Plasmonic and Surface Plasmon Research · Advanced biosensing and bioanalysis techniques

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

Affiliations

Nanobiosensors Lab, Department of Nanobiotechnology and Biomimetics, School of Life Science Engineering, College of Interdisciplinary Science and Technology, University of Tehran, P. O. Box: 14395-1561, Tehran, Iran

State Key Laboratory of Electroanalytical Chemistry, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun, Jilin 130022, China

Center of Excellence in Electrochemistry, School of Chemistry, College of Science, University of Tehran, Tehran 1439817435, Iran

School of Applied Chemistry of Engineering, University of Science and Technology of China, Hefei, Anhui 230026, China

Department of Biology, Payame Noor University, Tehran, Iran

Funding

University of Tehran · Chinese Academy of Sciences

References (100+)

Show source-provided references
1. P. B.Tchounwou , C. G.Yedjou , A. K.Patlolla and D. J.Sutton , Molecular, clinical and environmental toxicology: environmental toxicology , 2012 , vol. 3 , pp. 133–164 . 10.1007/978-3-7643-8340-4_610.1007/978-3-7643-8340-4_6 ↗
2. Barendsz · Food Control · 1998 · 9 · 16310.1016/s0956-7135(97)00074-1 ↗
3. Carvalho · Food Energy Secur. · 2017 · 6 · 4810.1002/fes3.108 ↗
4. Lazcka · Biosens. Bioelectron. · 2007 · 22 · 120510.1016/j.bios.2006.06.036 ↗
5. Verma · BioMetals · 2005 · 18 · 12110.1007/s10534-004-5787-3 ↗
6. Cháfer-Pericás · TrAC, Trends Anal. Chem. · 2010 · 29 · 103810.1016/j.trac.2010.06.004 ↗
7. Zheng · Mycopathologia · 2006 · 161 · 26110.1007/s11046-006-0215-6 ↗
8. Song · Anal. Chem. · 2017 · 89 · 1153710.1021/acs.analchem.7b02831 ↗
9. S.Hosseini , P.Vázquez-Villegas , M.Rito-Palomares and S. O.Martinez-Chapa , in SpringerBriefs in Applied Sciences and Technology , 2018 . 10.1007/978-981-10-6766-210.1007/978-981-10-6766-2 ↗
10. Alvarez · Water Sci. Technol. · 1993 · 27 · 25310.2166/wst.1993.0354 ↗
11. Shalileh · Microchem. J. · 2023 · 193 · 10899010.1016/j.microc.2023.108990 ↗
12. Shalileh · Microchem. J. · 2023 · 195 · 10931610.1016/j.microc.2023.109316 ↗
13. Toumey · Techne Res. Philos. Technol. · 2008 · 12 · 13310.5840/techne20081231 ↗
14. Shalileh · Nanotechnology · 2024 · 36 · 05200210.1088/1361-6528/ad8751 ↗
15. Dadmehr · Microchem. J. · 2024 · 205 · 11112710.1016/j.microc.2024.111127 ↗
16. Dadmehr · TrAC, Trends Anal. Chem. · 2024 · 11783610.1039/9781837675357-00156 ↗
17. Mostajabodavati · Food Chem. · 2024 · 448 · 13911310.1016/j.foodchem.2024.139113 ↗
18. Shalileh · Anal. Chim. Acta · 2023 · 1284 · 34193510.1016/j.aca.2023.341935 ↗
19. Mousavizadegan · TrAC, Trends Anal. Chem. · 2024 · 177 · 11779410.1016/j.trac.2024.117794 ↗
20. Mousavizadegan · TrAC, Trends Anal. Chem. · 2023 · 167 · 11721610.1016/j.trac.2023.117216 ↗
21. D.Roy , A. K.Srivastava , K.Mukhopadhyay and E. P.Namburi , Novel Defence Functional and Engineering Materials (NDFEM) Volume 1: Functional Materials for Defence Applications , Springer , 2024 , pp. 73–91 . 10.1007/978-981-99-9791-6_310.1007/978-981-99-9791-6_3 ↗
22. Byakodi · Biosens. Bioelectron.:X · 2022 · 12 · 10028410.1016/j.biosx.2022.100284 ↗
23. Athira · Analyst · 2023 · 148 · 618810.1039/d3an01244a ↗
24. Sepúlveda · Nano Today · 2009 · 4 · 24410.1016/j.nantod.2009.04.001 ↗
25. Hozhabr · ACS Appl. Nano Mater. · 2025 · 8 · 10010.1021/acsanm.4c04823 ↗
26. Cui · Biosensors · 2023 · 13 · 80110.3390/bios13080801 ↗
27. Jampasa · TrAC, Trends Anal. Chem. · 2024 · 180 · 11791410.1016/j.trac.2024.117914 ↗
28. Hou · Colloids Surf., B · 2018 · 162 · 11810.1016/j.colsurfb.2017.11.039 ↗
29. Kermanshahian · Coord. Chem. Rev. · 2021 · 442 · 21393410.1016/j.ccr.2021.213934 ↗
30. Thatai · Microchem. J. · 2014 · 113 · 7710.1016/j.microc.2013.11.004 ↗
31. Lee · Microchim. Acta · 2016 · 183 · 303510.1007/s00604-016-1952-y ↗
32. Zhang · Analyst · 2016 · 141 · 295510.1039/c5an02633d ↗
33. Lu · Microchim. Acta · 2018 · 185 · 7610.1007/s00604-017-2602-8 ↗
34. Liu · Sens. Actuators, B · 2013 · 188 · 61310.1016/j.snb.2013.07.054 ↗
35. Chen · Sens. Actuators, B · 2017 · 252 · 20110.1016/j.snb.2017.06.007 ↗
36. Zhang · Food Chem. Toxicol. · 2021 · 149 · 11203510.1016/j.fct.2021.112035 ↗
37. Szántó · Sens. Biosensing Res. · 2021 · 32 · 10041410.1016/j.sbsr.2021.100414 ↗
38. S.Mishra , R. N.Bharagava , N.More , A.Yadav , S.Zainith , S.Mani and P.Chowdhary , in Environmental Biotechnology: For Sustainable Future , Springer Singapore , Singapore , 2018 , pp. 103–125 . 10.1007/978-981-10-7284-0_510.1007/978-981-10-7284-0_5 ↗
39. D.Kapoor and M. P.Singh , in Heavy Metals in the Environment: Impact, Assessment, and Remediation , 2021 , pp. 179–189 . 10.1016/B978-0-12-821656-9.00010-910.1016/B978-0-12-821656-9.00010-9 ↗
40. Chauhan · Biosens. Bioelectron. · 2016 · 81 · 53210.1016/j.bios.2016.03.004 ↗
41. Shkembi · Anal. Biochem. · 2022 · 644 · 11415610.1016/j.ab.2021.114156 ↗
42. Sindhu · Compr. Rev. Food Sci. Food Saf. · 2023 · 22 · 122610.1111/1541-4337.13109 ↗
43. Xiang · J. Sens. · 2020 · 2020 · 850349110.1155/2020/8503491 ↗
44. P. K.Mandal , A. K.Biswas , K.Choi and U. K.Pal , 2011 , Methods for rapid detection of foodborne pathogens: an overview , 2011 , pp. 87–102 . 10.3923/ajft.2011.87.10210.3923/ajft.2011.87.102 ↗
45. Du · Trends Food Sci. Technol. · 2021 · 110 · 110.1016/j.tifs.2021.01.065 ↗
46. Li · New J. Chem. · 2023 · 47 · 207910.1039/d2nj05429a ↗
47. Ameen · Food Chem. · 2024 · 448 · 13917010.1016/j.foodchem.2024.139170 ↗
48. Sau · Langmuir · 2005 · 21 · 292310.1021/la047488s ↗
49. Huang · Nanoscale · 2011 · 3 · 322810.1039/c1nr10336a ↗
50. Ye · ACS Nano · 2012 · 6 · 280410.1021/nn300315j ↗
51. Ghamsari · Anal. Chem. · 2023 · 95 · 1598510.1021/acs.analchem.3c03106 ↗
52. Orouji · Sens. Actuators, B · 2022 · 358 · 13147910.1016/j.snb.2022.131479 ↗
53. Alekseeva · Colloid J. · 2006 · 68 · 66110.1134/S1061933X06060019 ↗
54. Pérez-Juste · Coord. Chem. Rev. · 2005 · 249 · 187010.1016/j.ccr.2005.01.030 ↗
55. Huang · Adv. Mater. · 2009 · 21 · 488010.1002/adma.200802789 ↗
56. Vigderman · Adv. Mater. · 2012 · 24 · 481110.1002/adma.201201690 ↗
57. Cao · Sens. Actuators, B · 2014 · 195 · 33210.1016/j.snb.2014.01.056 ↗
58. Saa · ACS Appl. Mater. Interfaces · 2016 · 8 · 1113910.1021/acsami.6b01834 ↗
59. Akhondi · ACS Appl. Mater. Interfaces · 2024 · 16 · 5208010.1021/acsami.4c12126 ↗
60. Li · Sens. Actuators, B · 2011 · 155 · 81710.1016/j.snb.2011.01.054 ↗
61. Yin · Microchem. J. · 2021 · 168 · 10641110.1016/j.microc.2021.106411 ↗
62. Fang · Food Chem. · 2020 · 329 · 12716010.1016/j.foodchem.2020.127160 ↗
63. Zhang · Food Chem. Toxicol. · 2021 · 149 · 11203510.1016/j.fct.2021.112035 ↗
64. Liu · Anal. Chim. Acta · 2019 · 1048 · 15410.1016/j.aca.2018.10.020 ↗
65. Xu · Food Control · 2021 · 127 · 10814310.1016/j.foodcont.2021.108143 ↗
66. Wang · J. Chin. Chem. Soc. · 2024 · 71 · 82010.1002/jccs.202400095 ↗
67. Qiu · J. Hazard. Mater. · 2024 · 478 · 13563210.1016/j.jhazmat.2024.135632 ↗
68. Ma · Sens. Actuators, B · 2023 · 397 · 13465810.1016/j.snb.2023.134658 ↗
69. Zhang · Langmuir · 2015 · 31 · 925310.1021/acs.langmuir.5b02113 ↗
70. Wang · Analyst · 2013 · 138 · 208010.1039/C3AN36722C ↗
71. Zhang · Analyst · 2012 · 137 · 519710.1039/C2AN35787A ↗
72. Liu · Anal. Chim. Acta · 2021 · 1149 · 23814110.1016/j.aca.2020.12.016 ↗
73. Zhu · Sens. Actuators, B · 2018 · 255 · 292710.1016/j.snb.2017.09.113 ↗
74. Mi · Mater. Chem. Phys. · 2021 · 259 · 12403610.1016/j.matchemphys.2020.124036 ↗
75. Qi · Sens. Actuators, B · 2018 · 267 · 18110.1016/j.snb.2018.04.042 ↗
76. He · Microchem. J. · 2024 · 201 · 11065910.1016/j.microc.2024.110659 ↗
77. Xiong · Sens. Actuators, B · 2018 · 267 · 32010.1016/j.snb.2018.04.027 ↗
78. Sun · Sens. Actuators, B · 2020 · 311 · 12791210.1016/j.snb.2020.127912 ↗
79. Wu · Microchim. Acta · 2017 · 184 · 438310.1007/s00604-017-2468-9 ↗
80. Qing · Microchim. Acta · 2020 · 187 · 49710.1007/s00604-020-04486-2 ↗
81. Li · Microchim. Acta · 2019 · 186 · 110.1007/s00604-019-3677-1 ↗
82. Namjoo · Microchem. J. · 2025 · 208 · 11236810.1016/j.microc.2024.112368 ↗
83. Gu · Talanta · 2024 · 280 · 12665010.1016/j.talanta.2024.126650 ↗
84. Tian · Sens. Actuators, B · 2020 · 321 · 12860410.1016/j.snb.2020.128604 ↗
85. Zhao · Sens. Actuators, B · 2021 · 330 · 12938210.1016/j.snb.2020.129382 ↗
86. Wang · Sens. Actuators, B · 2021 · 330 · 12936410.1016/j.snb.2020.129364 ↗
87. Xin · Talanta · 2012 · 101 · 12210.1016/j.talanta.2012.09.009 ↗
88. Wang · Anal. Chim. Acta · 2021 · 1160 · 33838010.1016/j.aca.2021.338380 ↗
89. Wang · Spectrochim. Acta, Part A · 2023 · 295 · 12258910.1016/j.saa.2023.122589 ↗
90. Qi · Sens. Actuators, B · 2017 · 253 · 61210.1016/j.snb.2017.06.180 ↗
91. Luo · Microchem. J. · 2023 · 193 · 10919510.1016/j.microc.2023.109195 ↗
92. Chen · Talanta · 2023 · 258 · 12444910.1016/j.talanta.2023.124449 ↗
93. Qi · J. Food Compos. Anal. · 2023 · 124 · 10568110.1016/j.jfca.2023.105681 ↗
94. Yuan · Spectrochim. Acta, Part A · 2023 · 299 · 12288810.1016/j.saa.2023.122888 ↗
95. Deng · Food Chem. · 2022 · 394 · 13349510.1016/j.foodchem.2022.133495 ↗
96. Chen · J. Nanopart. Res. · 2019 · 21 · 110.1007/s11051-019-4604-4 ↗
97. Lu · Talanta · 2023 · 265 · 12488310.1016/j.talanta.2023.124883 ↗
98. Xi · Spectrochim. Acta, Part A · 2023 · 302 · 12308210.1016/j.saa.2023.123082 ↗
99. Hong · Chem. Commun. · 2022 · 149 · 1298310.1039/D2CC05421C ↗
100. Wang · Spectrochim. Acta, Part A · 2023 · 289 · 12222910.1016/j.saa.2022.122229 ↗