journal article·2024-03Open access

A Color‐Changing Biomimetic Material Closely Resembling the Spectral Characteristics of Vegetation Foliage

Zizhen Huang, Linshuang Long, Yufei Gao, Zhipeng Tang, Jialei Zhang, Kai Xu, Hong Ye, Minghou Liu

Small· Volume 20· Issue 10

Abstract

Abstract Multispectral/hyperspectral technologies can easily detect man‐made objects in vegetation by subtle spectral differences between the object and vegetation, and powerful reconnaissance increases the demand for camouflage materials closely resembling vegetation spectra. However, previous biomimetic materials have only presented static colors that cannot change color, and camouflage in multiple bands is difficult to achieve. To address this challenge, inspiration is drawn from the color change of foliage, and a color‐change model is proposed with active and static pigments embedded in a matrix medium. The color of a composite material is dominated by the colored active pigment, which conceals the color of the static pigments and the color is revealed when the active pigment fades. A color‐changing biomimetic material (CCBM) is developed with a solution casting method by adopting microcapsuled thermochromic pigments and chrome titanate yellow pigments as fillers in a base film with polyvinyl alcohol and lithium chloride. A Kubelka–Munk four‐flux model is constructed to optimize the component proportions of the CCBM. The material has a reversible color change, closely resembles the foliage spectrum in UV–vis–NIR ranges, and imitates the thermal behavior of natural foliage in the mid‐infrared regime. These results provide a novel approach to multispectral and hyperspectral camouflage.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Remote Sensing and Land Use · Land Use and Ecosystem Services · Urban Heat Island Mitigation

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

Affiliations

Department of Thermal Science and Energy Engineering University of Science and Technology of China Hefei 230027 P. R. China

Funding

University of Science and Technology of China

References (55)

Show source-provided references
1. 10.1016/j.rse.2007.12.01410.1016/j.rse.2007.12.014 ↗
2. 10.1039/D1AY01726H10.1039/D1AY01726H ↗
3. 10.1109/JSEN.2020.298212610.1109/JSEN.2020.2982126 ↗
4. 10.1016/j.saa.2022.12150410.1016/j.saa.2022.121504 ↗
5. 10.1093/treephys/tpv14810.1093/treephys/tpv148 ↗
6. Li Y. · IEEE Sens. J. · 2023
7. 10.1007/s11119-020-09727-110.1007/s11119-020-09727-1 ↗
8. 10.1016/j.agwat.2018.08.00410.1016/j.agwat.2018.08.004 ↗
9. 10.1016/S0034-4257(02)00010-X10.1016/S0034-4257(02)00010-X ↗
10. 10.3389/fpls.2017.0072110.3389/fpls.2017.00721 ↗
11. 10.1016/j.rse.2018.10.02110.1016/j.rse.2018.10.021 ↗
12. 10.1016/S1672-6529(14)60105-010.1016/S1672-6529(14)60105-0 ↗
13. 10.1007/s10853-020-04942-710.1007/s10853-020-04942-7 ↗
14. 10.1007/s11431-008-0101-110.1007/s11431-008-0101-1 ↗
15. 10.1016/S1672-6529(09)60216-X10.1016/S1672-6529(09)60216-X ↗
16. 10.1016/j.matchemphys.2012.07.05010.1016/j.matchemphys.2012.07.050 ↗
17. 10.1039/C9RA08312J10.1039/C9RA08312J ↗
18. 10.1016/j.ijheatmasstransfer.2017.06.05110.1016/j.ijheatmasstransfer.2017.06.051 ↗
19. 10.1016/j.compag.2018.02.01610.1016/j.compag.2018.02.016 ↗
20. 10.1016/j.ecoinf.2022.10167810.1016/j.ecoinf.2022.101678 ↗
21. 10.1109/LGRS.2018.285780410.1109/LGRS.2018.2857804 ↗
22. Dong W. Q. · IEEE Trans. Geosci. Remote Sens. · 2022 · 60
23. 10.1088/2053-1591/ac04e710.1088/2053-1591/ac04e7 ↗
24. 10.1007/s42235-018-0062-410.1007/s42235-018-0062-4 ↗
25. 10.1016/j.infrared.2022.10447710.1016/j.infrared.2022.104477 ↗
26. 10.1002/adma.20230297310.1002/adma.202302973 ↗
27. 10.1016/j.rse.2010.09.00910.1016/j.rse.2010.09.009 ↗
28. 10.3390/rs906063010.3390/rs9060630 ↗
29. 10.1002/ecs2.208910.1002/ecs2.2089 ↗
30. 10.1111/gcb.1382310.1111/gcb.13823 ↗
31. 10.1023/A:102560872840510.1023/A:1025608728405 ↗
32. 10.1093/jxb/erl12310.1093/jxb/erl123 ↗
33. 10.3389/fpls.2017.0191110.3389/fpls.2017.01911 ↗
34. 10.1016/j.dyepig.2010.01.01410.1016/j.dyepig.2010.01.014 ↗
35. 10.1038/s41598-018-22445-z10.1038/s41598-018-22445-z ↗
36. 10.1016/B978-0-08-100411-1.00019-410.1016/B978-0-08-100411-1.00019-4 ↗
37. 10.1002/col.2007010.1002/col.20070 ↗
38. 10.1016/S1002-0160(10)60053-710.1016/S1002-0160(10)60053-7 ↗
39. 10.1016/S0308-8146(02)00583-610.1016/S0308-8146(02)00583-6 ↗
40. 10.1562/0031-8655(2002)0750272ACCIPL2.0.CO210.1562/0031-8655(2002)0750272ACCIPL2.0.CO2 ↗
41. 10.1002/pen.2485510.1002/pen.24855 ↗
42. 10.1038/s41467-020-17118-310.1038/s41467-020-17118-3 ↗
43. 10.1038/s41598-023-31718-110.1038/s41598-023-31718-1 ↗
44. Liu M. L. · ACS Nano · 2023
45. 10.1016/S1672-6529(13)60212-710.1016/S1672-6529(13)60212-7 ↗
46. 10.1021/acs.langmuir.0c0293810.1021/acs.langmuir.0c02938 ↗
47. 10.1080/01431161.2012.71845810.1080/01431161.2012.718458 ↗
48. 10.1016/j.ejps.2017.02.00610.1016/j.ejps.2017.02.006 ↗
49. 10.1016/j.solmat.2014.06.03610.1016/j.solmat.2014.06.036 ↗
50. Kortüm G. · 2012
51. 10.1145/3478513.348054910.1145/3478513.3480549 ↗
52. 10.1016/j.applthermaleng.2016.02.04110.1016/j.applthermaleng.2016.02.041 ↗
53. 10.1016/j.jphotochemrev.2015.05.00110.1016/j.jphotochemrev.2015.05.001 ↗
54. 10.1016/j.ijheatmasstransfer.2018.11.05910.1016/j.ijheatmasstransfer.2018.11.059 ↗
55. 10.1016/j.ijheatmasstransfer.2018.09.07010.1016/j.ijheatmasstransfer.2018.09.070 ↗