Plant Tattoo Sensor Array for Leaf Relative Water Content, Surface Temperature, and Bioelectric Potential Monitoring
Source abstract
Abstract
Abstract This study presents a wearable plant tattoo sensor array designed for continuous monitoring of leaf temperature, relative water content, and biopotential. Current plant wearable sensor technologies often require relatively bulky substrates for sensor support and adhesives for leaf attachment, which potentially can hinder plant growth and affect long‐term measurements. The multifunctional tattoo sensor array overcomes these issues by adhering directly to the leaf surface without the need for additional supporting structures or glues. This array includes a biopotential electrode, a resistive temperature sensor, and an impedimetric water content sensor, all constructed using laminated gold‐on‐polymer thin‐film patterns. Due to their mechanical flexibility, stretchability, and conformability, the sensors can seamlessly attach to leaves via van der Waals force. Performances of these sensors are evaluated to explore plant responses under diverse growth environments. This sensor array is capable of both short‐term and long‐term monitoring, offering continuous data and detailed insights into plant physiological responses to various stress conditions.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Analytical Chemistry and Sensors · Advanced Chemical Sensor Technologies · Plant and Biological Electrophysiology Studies
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Electrical and Computer Engineering Iowa State University Ames IA 50011 USA
Microelectronics Research Center Iowa State University Ames IA 50011 USA
Funding
U.S. Department of Agriculture · National Science Foundation · Plant Sciences Institute, Iowa State University
References (68)
Show source-provided references
1. 10.1016/j.protcy.2013.11.01010.1016/j.protcy.2013.11.010 ↗
2. 10.1016/j.compag.2018.12.03910.1016/j.compag.2018.12.039 ↗
3. 10.1109/JSEN.2023.329650410.1109/JSEN.2023.3296504 ↗
4. 10.1016/j.agee.2009.04.02110.1016/j.agee.2009.04.021 ↗
5. 10.1016/j.tplants.2018.11.00710.1016/j.tplants.2018.11.007 ↗
6. 10.1016/B978-0-08-102894-0.00009-710.1016/B978-0-08-102894-0.00009-7 ↗
7. 10.1002/adma.20200776410.1002/adma.202007764 ↗
8. 10.1039/C6RA09621B10.1039/C6RA09621B ↗
9. 10.1016/j.jclepro.2014.04.03610.1016/j.jclepro.2014.04.036 ↗
10. 10.1016/j.matt.2021.06.00910.1016/j.matt.2021.06.009 ↗
11. 10.3389/fchem.2020.0083710.3389/fchem.2020.00837 ↗
12. 10.1108/SR‐10‐2016‐021510.1108/SR‐10‐2016‐0215 ↗
13. 10.1038/s41477-021-00946-610.1038/s41477-021-00946-6 ↗
14. 10.1149/1945-7111/ab6f5d10.1149/1945-7111/ab6f5d ↗
15. 10.3390/s1902027610.3390/s19020276 ↗
16. 10.1002/jsfa.673410.1002/jsfa.6734 ↗
17. 10.1073/pnas.200827611810.1073/pnas.2008276118 ↗
18. 10.1109/JSEN.2020.300736710.1109/JSEN.2020.3007367 ↗
19. 10.1021/acsami.9b0712010.1021/acsami.9b07120 ↗
20. 10.1109/JSEN.2017.270491810.1109/JSEN.2017.2704918 ↗
21. 10.1021/acssensors.2c0083410.1021/acssensors.2c00834 ↗
22. 10.3390/s1917379610.3390/s19173796 ↗
23. 10.1094/PDIS-03-15-0340-FE10.1094/PDIS-03-15-0340-FE ↗
24. 10.1007/s11119-018-9579-010.1007/s11119-018-9579-0 ↗
25. 10.1002/admt.20180062810.1002/admt.201800628 ↗
26. 10.1002/adfm.20190452310.1002/adfm.201904523 ↗
27. 10.1002/adma.20210586510.1002/adma.202105865 ↗
28. 10.1021/acsami.3c1029910.1021/acsami.3c10299 ↗
29. 10.3390/s2104119710.3390/s21041197 ↗
30. 10.1146/annurev-chembioeng-101420-02433610.1146/annurev-chembioeng-101420-024336 ↗
31. 10.1016/j.bios.2020.11263610.1016/j.bios.2020.112636 ↗
32. 10.1016/j.carbon.2019.03.00210.1016/j.carbon.2019.03.002 ↗
33. 10.1038/s41528-022-00177-510.1038/s41528-022-00177-5 ↗
34. 10.1038/s41528-018-0039-810.1038/s41528-018-0039-8 ↗
35. 10.1126/sciadv.aaw046310.1126/sciadv.aaw0463 ↗
36. 10.1002/admt.20170002110.1002/admt.201700021 ↗
37. 10.1021/acs.analchem.5b0255810.1021/acs.analchem.5b02558 ↗
38. 10.1109/JMEMS.2018.282338010.1109/JMEMS.2018.2823380 ↗
39. 10.1038/s41477-020-0632-410.1038/s41477-020-0632-4 ↗
40. 10.1126/sciadv.abc329610.1126/sciadv.abc3296 ↗
41. 10.1038/s41477-020-0632-410.1038/s41477-020-0632-4 ↗
42. 10.1021/nl500513n10.1021/nl500513n ↗
43. 10.1039/C7LC00930E10.1039/C7LC00930E ↗
44. 10.1016/j.bios.2020.11236010.1016/j.bios.2020.112360 ↗
45. 10.3390/electronics707011410.3390/electronics7070114 ↗
46. 10.1002/admt.20170022310.1002/admt.201700223 ↗
47. 10.1002/admt.20200124610.1002/admt.202001246 ↗
48. 10.1021/acsnano.0c0375710.1021/acsnano.0c03757 ↗
49. 10.1038/s41598-020-72006-610.1038/s41598-020-72006-6 ↗
50. 10.3389/fpls.2017.0072110.3389/fpls.2017.00721 ↗
51. 10.1186/s13007-015-0057-710.1186/s13007-015-0057-7 ↗
52. Afzal A. M. I. N. · Journal of Agricultural Science and Technology · 2010 · 12 · 339
53. 10.1021/acsami.2c0294310.1021/acsami.2c02943 ↗
54. 10.1134/S106422932103008X10.1134/S106422932103008X ↗
55. 10.1246/bcsj.2020006410.1246/bcsj.20200064 ↗
56. 10.1126/sciadv.ade223210.1126/sciadv.ade2232 ↗
57. Mullan D. · Canopy Temperature, Stomatal Conductance and Water Relation Traits · 2012 · 25
58. Ibrahim H. · 2020 · 571
59. 10.1021/acsomega.9b0103510.1021/acsomega.9b01035 ↗
60. 10.1021/acsami.2c0198810.1021/acsami.2c01988 ↗
61. 10.1109/JSEN.2017.274017610.1109/JSEN.2017.2740176 ↗
62. 10.1021/acssensors.3c0147810.1021/acssensors.3c01478 ↗
63. Liu P. · 2016 · 66
64. 10.1007/s11277-019-06285-210.1007/s11277-019-06285-2 ↗
65. 10.1038/srep4120810.1038/srep41208 ↗
66. 10.1021/la401516m10.1021/la401516m ↗
67. 10.1016/j.jcis.2023.08.16010.1016/j.jcis.2023.08.160 ↗
68. 10.1021/acs.jpclett.1c0246110.1021/acs.jpclett.1c02461 ↗