Photothermal conversion
behavior has a vital application to disease
therapy, water purification, or uncontacted heaters. The fabrication
of high-performance photothermal conversion materials especially for
near-infrared (NIR) light and microstructures has attracted a great
deal of attention. Among numerous substances, MXene as a new type
of 2D material with semi-metallic and unique electromagnetic properties
presents a broader absorption of light and even a typical plasmonic
absorption near the NIR-I area (808 nm), which has made it suitable
for photothermal conversion. Here, we propose a facile approach for
preparing a Ti3C2T
x
/ionic liquid ink with a high photothermal conversion efficiency.
The as-prepared ink has showed good wettability of various substrates
as well as the high sensitivity of 808 nm NIR light irradiation and
a wide range of thermal variation. After packing the ink into a gel
pen refill, the flexible thermal chips could be easily obtained just
by pen writing on the soft surface with the designed size, which also
have become an optimal candidate for the thermal alarm system.
Artificial intelligence (AI) has become increasingly
popular along
with the development of the bionic neural system. Ionic conductors
play an important role in the AI system due to the ability of bionic
sensing and signal transporting. Traditional low-polarity elastomers
possess outstanding mechanical strength and stability, such as polyurethane,
which is difficult to be directly endowed with ionic conductivity
without impairing its properties. Herein, we have first put forward
a new approach to synthesize a liquid-free ionic conductive polyurethane
(CPU) through one-step copolymerization between a green deep eutectic
solvent (DES) and a prepolymer of polyurethane. The as-prepared CPU
can retain the native properties of the traditional polyurethane (PU)
such as the homogeneous phase, ease of molding, high transparency
(about 93.3%), and excellent mechanical properties. By introducing
the DES as the covalent cross-linking agent and ionic conductor at
the same time, the CPU also has fine ionic conductivity (3.78 ×
10–5 S cm–1), environmental resistance
like anti-freezing (−20 °C), and solvent resistance. Based
on the excellent conductivity and mechanical strength, the flexible
CPU can be applied as a sensing element in pressure sensors. The CPU-based
sensor has presented long-term stability, high sensitivity, and wide-ranging
response (0.17–3.28 MPa) to the applied pressure, which will
be suitable for the industrial demands for practical applications.
Carbon-13 NMR enables one to identify the products of t γ-irradiation of a model hydrocarbon, n-C 44 H 90 , and of poly ethylene thermal oxidation. Irradiation of n-C 44 H 90 in the molten state produces cross-links (Η-shaped molecules), long branches (T-shaped molecules), and trans-vinylene groups. Irradiation in the crystalline state produces none of these. Instead, it end-links the molecules to produce linear dimers, detected by gel permeation chromatograph (GPC). Mechanisms are proposed to account for these results. Branched polyethylene thermal oxidation gives rise to long chain ketones and carboxylic acids as the principa products, with smaller amounts of long chain secondary alcohols and hydroperoxides, esters of long chain carboxyli acids with long chain secondary alcohols, and long chain γ-lactones. Branch points are about 10-fold more reactive than linear chains. The results generally agree with ac cepted mechanisms./^arbon-13 NMR is powerful for determining paraffinic polymer structures because of the sensitivity of carbon chemical shifts to branches and chain ends. Carbon shieldings are also strongly dependent on oxygen-containing groups. These 13 C NMR features suggest its use for the qualitative detection and quantitative estimation of the chemical effects of polyethylene and model paraffin exposure to high energy radia tion and thermal oxidation. This chapter deals with its application to these problems. 0-8412-0381-4/78/33-169-133$05.00/l
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.