Smart Photonic Indicator for Ethanol Detection via Pressure-Responsive Shape Memory Polymers
Matin Ashurov , Maksym Stetsenko , Salah Ud Din , Xinyu Chen , Saidkhodzha Nematulloev , Pavlos G. Savvidis
SmartMat ›› 2025, Vol. 6 ›› Issue (4) : e70026
Smart Photonic Indicator for Ethanol Detection via Pressure-Responsive Shape Memory Polymers
Smart photonic indicators (SPIs) offer a cost-effective and efficient way to monitor and control ethanol concentration, making them suitable for advanced digital informatics systems. The developed sensors can operate even after the removal of external stimuli, featuring exceptional optical memory and reconfigurable nanostructures, which will undoubtedly drive a revolution in colorimetric sensors. The SPI is prepared by polymerizing mixed monomers of poly(ethylene glycol) diacrylate (PEG600DA) and ethoxyethoxyethyl acrylate (EOEOEA) in a silica colloidal crystal template. SPIs contain periodically ordered interconnecting macropores via shape memory polymers (SMPs) that endow the films with structural colors. The evaporation of water can temporarily deform the initial periodic structure. The structure can then be restored by evaporating liquids with lower surface tension, such as water-ethanol solutions. The Laplace pressure generated during solvent evaporation competes with the elasticity of SMPs, driving nanoscale structural transformation. Consequently, the detection range of SPIs for ethanol concentration in water depends on the balance between these two driving forces. Adjusting the size of the macropores expands the detection range allowing differentiation of alcohol concentrations from 5% to 100%. SPIs with selectivity and high sensitivity hold promise for various applications, including information technology, inkless writing, and anticounterfeiting, enhancing the versatility of photonic materials.
inverse opals / photonic crystals / shape memory polymers / smart indicators
| [1] |
|
| [2] |
|
| [3] |
|
| [4] |
|
| [5] |
|
| [6] |
|
| [7] |
|
| [8] |
|
| [9] |
|
| [10] |
|
| [11] |
|
| [12] |
|
| [13] |
|
| [14] |
|
| [15] |
|
| [16] |
|
| [17] |
|
| [18] |
|
| [19] |
|
| [20] |
|
| [21] |
|
| [22] |
|
| [23] |
|
| [24] |
|
| [25] |
|
| [26] |
|
| [27] |
|
| [28] |
|
| [29] |
|
| [30] |
|
| [31] |
|
| [32] |
|
| [33] |
|
| [34] |
|
| [35] |
|
| [36] |
|
| [37] |
|
| [38] |
|
| [39] |
|
| [40] |
|
| [41] |
|
| [42] |
|
| [43] |
|
| [44] |
|
| [45] |
|
| [46] |
|
| [47] |
|
| [48] |
|
| [49] |
|
| [50] |
|
| [51] |
|
| [52] |
|
| [53] |
|
| [54] |
|
| [55] |
|
| [56] |
|
| [57] |
|
| [58] |
|
| [59] |
|
| [60] |
|
| [61] |
|
| [62] |
|
| [63] |
|
| [64] |
|
| [65] |
|
| [66] |
|
| [67] |
|
| [68] |
|
2025 The Author(s). SmartMat published by Tianjin University and John Wiley & Sons Australia, Ltd.
/
| 〈 |
|
〉 |