Microneedle Technologies for Food and Crop Health: Recent Advances and Future Perspectives
Source abstract
Abstract
The global food supply constantly faces the threats of emerging crop diseases initiated by pathogens such as bacteria, fungi, and viruses. Plant diseases can cause significant economic and production losses in the agriculture industry, and early disease detection significantly mitigates losses. Monitoring the food quality and detecting pathogens during the food supply chain is essential in confirming the food's safety and reducing crop loss. This results in lowering production costs and increasing average yield in the agriculture industry. Considering the significant development of nanotechnology in biomedicine for human health monitoring, diagnostics, and treatment, there is an increasing interest in using nanotechnology in crop production, health, and plant science. This technology can allow continuous monitoring of plant health and on‐site diagnostics of plant diseases. While many microneedle‐based devices are previously reported for human health monitoring, diagnostics, and treatment, the application of this technology to agriculture started relatively recently. This review investigates the recent development of microneedle technology in food and crop health, where the most state‐of‐the‐art microneedle‐based devices are utilized for plant drug delivery, disease monitoring, and diagnosis. Finally, the current challenges and future directions in developing microneedle technology for food and crop health are discussed.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Advancements in Transdermal Drug Delivery · Plant Surface Properties and Treatments · Transgenic Plants and Applications
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
School of Engineering University of Southern Queensland Springfield 4300 Australia
Funding
Department of Agriculture, Water and the Environment
References (100+)
Show source-provided references
1. 10.1126/science.118538310.1126/science.1185383 ↗
2. Sarkozi A. · 2020
3. 10.1038/s41559-018-0793-y10.1038/s41559-018-0793-y ↗
4. 10.1016/j.scitotenv.2018.11.04110.1016/j.scitotenv.2018.11.041 ↗
5. 10.1007/s13593-014-0246-110.1007/s13593-014-0246-1 ↗
6. 10.3390/bios503053710.3390/bios5030537 ↗
7. 10.1039/C9EN00461K10.1039/C9EN00461K ↗
8. 10.1002/advs.20180231510.1002/advs.201802315 ↗
9. 10.1146/annurev-phyto-080417-05010810.1146/annurev-phyto-080417-050108 ↗
10. 10.1016/j.tifs.2011.09.00410.1016/j.tifs.2011.09.004 ↗
11. 10.1021/acsnano.9b0019310.1021/acsnano.9b00193 ↗
12. 10.3762/bjnano.12.7710.3762/bjnano.12.77 ↗
13. 10.1007/s12247-020-09460-210.1007/s12247-020-09460-2 ↗
14. 10.1016/j.biopha.2018.10.07810.1016/j.biopha.2018.10.078 ↗
15. 10.1016/j.jconrel.2020.02.01210.1016/j.jconrel.2020.02.012 ↗
16. 10.1111/j.1460-9568.2010.07250.x10.1111/j.1460-9568.2010.07250.x ↗
17. 10.1021/acsnano.9b0478310.1021/acsnano.9b04783 ↗
18. 10.1038/micronano.2017.3410.1038/micronano.2017.34 ↗
19. 10.1016/j.matchemphys.2019.01.05210.1016/j.matchemphys.2019.01.052 ↗
20. 10.1002/admi.20210185610.1002/admi.202101856 ↗
21. 10.1007/s40005-021-00512-410.1007/s40005-021-00512-4 ↗
22. 10.1021/js98004210.1021/js980042 ↗
23. 10.1007/s11095-016-1885-510.1007/s11095-016-1885-5 ↗
24. 10.1016/j.addma.2022.10295310.1016/j.addma.2022.102953 ↗
25. 10.1007/s40820-021-00611-910.1007/s40820-021-00611-9 ↗
26. Z.Faraji Rad R. E.Nordon G. J.Davies C. J.Anthony P.Prewett US Patent 10850082 2020.
27. 10.1002/admi.20220111510.1002/admi.202201115 ↗
28. Faraji Rad Z. · 2016
29. 10.3390/pharmaceutics703009010.3390/pharmaceutics7030090 ↗
30. 10.1002/mabi.20200030710.1002/mabi.202000307 ↗
31. 10.3390/polym1316281510.3390/polym13162815 ↗
32. Peng K. · Mater. Sci. Eng. C · 2021 · 127
33. 10.1016/j.jbiomech.2003.12.01010.1016/j.jbiomech.2003.12.010 ↗
34. 10.1016/j.jmbbm.2014.09.01510.1016/j.jmbbm.2014.09.015 ↗
35. 10.1038/s41378-021-00298-310.1038/s41378-021-00298-3 ↗
36. 10.1038/s41378-019-0088-810.1038/s41378-019-0088-8 ↗
37. 10.1002/978111999041310.1002/9781119990413 ↗
38. Raton B. · 2018
39. F.Laermer A.Schilp US5501893A 1993.
40. 10.1016/j.progpolymsci.2008.01.00110.1016/j.progpolymsci.2008.01.001 ↗
41. 10.1021/acs.chemrev.7b0007410.1021/acs.chemrev.7b00074 ↗
42. 10.3109/03639045.2015.112074310.3109/03639045.2015.1120743 ↗
43. 10.1016/j.aca.2020.03.02810.1016/j.aca.2020.03.028 ↗
44. 10.1111/j.1365-313X.1993.tb00007.x10.1111/j.1365-313X.1993.tb00007.x ↗
45. 10.1111/nph.1616610.1111/nph.16166 ↗
46. 10.3389/fpls.2012.0008510.3389/fpls.2012.00085 ↗
47. 10.1002/biot.20060019510.1002/biot.200600195 ↗
48. 10.1002/cppb.2010410.1002/cppb.20104 ↗
49. 10.1039/C9NA00724E10.1039/C9NA00724E ↗
50. 10.3389/fpls.2017.0201610.3389/fpls.2017.02016 ↗
51. 10.1094/PDIS-06-19-1186-RE10.1094/PDIS-06-19-1186-RE ↗
52. 10.1094/PDIS-08-12-0791-FE10.1094/PDIS-08-12-0791-FE ↗
53. 10.3389/fpls.2020.57086210.3389/fpls.2020.570862 ↗
54. 10.1016/j.bios.2020.11259210.1016/j.bios.2020.112592 ↗
55. 10.1016/j.bios.2021.11331210.1016/j.bios.2021.113312 ↗
56. 10.1016/j.fgb.2014.10.01210.1016/j.fgb.2014.10.012 ↗
57. 10.1002/bab.169910.1002/bab.1699 ↗
58. 10.1039/c0lc00230e10.1039/c0lc00230e ↗
59. 10.1016/j.jviromet.2018.12.01910.1016/j.jviromet.2018.12.019 ↗
60. 10.1016/j.jviromet.2018.10.00610.1016/j.jviromet.2018.10.006 ↗
61. 10.1016/j.jviromet.2014.11.01310.1016/j.jviromet.2014.11.013 ↗
62. 10.1016/j.sjbs.2016.02.02410.1016/j.sjbs.2016.02.024 ↗
63. Yaseen T. · Phytopathol. Mediterr. · 2015 · 54 · 488
64. 10.1016/j.bios.2014.08.01310.1016/j.bios.2014.08.013 ↗
65. 10.1094/PDIS-12-16-1780-RE10.1094/PDIS-12-16-1780-RE ↗
66. 10.1002/adma.20200776410.1002/adma.202007764 ↗
67. 10.1016/j.agsy.2016.07.00110.1016/j.agsy.2016.07.001 ↗
68. B.O’Flynn M.de Donno C.Barrett C.Robinson A. O.Riordan inProc. of IEEE Sensors IEEE Glasgow2017.
69. 10.1002/adfm.20200537010.1002/adfm.202005370 ↗
70. 10.1088/1361-6439/aa736210.1088/1361-6439/aa7362 ↗
71. 10.2525/ecb.56.13110.2525/ecb.56.131 ↗
72. A.Bukhamsin K.Moussi N.Patel A.Przybysz Y.Wang S.Krattinger J.Kosel inProceedings of the IEEE International Conference on Micro Electro Mechanical Systems (MEMS) IEEE Vancouver BC2020 pp.307–310.10.1109/MEMS46641.2020.9056158 ↗
73. 10.1007/s00709-016-0984-910.1007/s00709-016-0984-9 ↗
74. 10.1007/s00216-020-02836-w10.1007/s00216-020-02836-w ↗
75. P. R.Miller inMicroneedles as Wearable Sensors for Plants. Sandia National Lab.(SNL-NM) Albuquerque NM 2018 https://www.osti.gov/servlets/purl/1495752.
76. 10.1109/JMEMS.2018.282338010.1109/JMEMS.2018.2823380 ↗
77. 10.3390/ijms1405964310.3390/ijms14059643 ↗
78. 10.1094/PHP-2002-0510-01-RV10.1094/PHP-2002-0510-01-RV ↗
79. 10.1002/j.1537-2197.1964.tb06654.x10.1002/j.1537-2197.1964.tb06654.x ↗
80. 10.1002/advs.20190355110.1002/advs.201903551 ↗
81. 10.1021/acs.nanolett.7b0436910.1021/acs.nanolett.7b04369 ↗
82. 10.1007/BF0228639910.1007/BF02286399 ↗
83. 10.1016/j.jconrel.2012.01.04210.1016/j.jconrel.2012.01.042 ↗
84. 10.1111/j.1472-765X.2004.01543.x10.1111/j.1472-765X.2004.01543.x ↗
85. 10.1099/00207713-44-3-37910.1099/00207713-44-3-379 ↗
86. 10.1038/s41598-019-50386-810.1038/s41598-019-50386-8 ↗
87. 10.1016/j.matlet.2022.13332810.1016/j.matlet.2022.133328 ↗
88. 10.3934/microbiol.2018.3.37710.3934/microbiol.2018.3.377 ↗
89. 10.1016/j.mset.2019.10.00410.1016/j.mset.2019.10.004 ↗
90. 10.1146/annurev-anchem-061516-04531010.1146/annurev-anchem-061516-045310 ↗
91. 10.1039/C4LC00487F10.1039/C4LC00487F ↗
92. 10.1016/j.compag.2014.03.01210.1016/j.compag.2014.03.012 ↗
93. 10.1016/j.mfglet.2021.10.00710.1016/j.mfglet.2021.10.007 ↗
94. 10.3762/bjnano.13.5510.3762/bjnano.13.55 ↗
95. 10.1039/D0LC00567C10.1039/D0LC00567C ↗
96. 10.1007/s40820-021-00778-110.1007/s40820-021-00778-1 ↗
97. 10.1038/s41378-019-0077-y10.1038/s41378-019-0077-y ↗
98. 10.2351/1.471215110.2351/1.4712151 ↗
99. 10.1007/s10544-019-0456-z10.1007/s10544-019-0456-z ↗
100. 10.1021/acs.chemrev.1c0052510.1021/acs.chemrev.1c00525 ↗