Triple-Responsive, Multimodal, Visual Electronic Skin toward All-in-One Health Management for Gestational Diabetes Mellitus.
Yue WuYong LiuXueting YangMingqiong TongXubao JiangXiangling GuPublished in: ACS sensors (2024)
Gestational diabetes mellitus (GDM) is one of the most common metabolic disorders during pregnancy, leading to serious complications for pregnant women and a threat to life safety of infants. Therefore, it is particularly important to establish a multipurpose monitoring pathway to important physiological indicators of pregnant women. In this work, three kinds of double network hydrogels are prepared with poly(vinyl alcohol) (PVA), borax, and cellulose ethers with varying substituents of methyl (methyl cellulose, MC), hydroxypropyl (hydroxypropyl cellulose, HPC), or both (hydroxypropyl methyl cellulose, HPMC), respectively. The corresponding toughness (143.9, 102.3, and 135.9 kJ cm -3 ) and conductivity (0.69, 0.45, and 0.51 S m -1 ) of the hydrogels demonstrate that PB-MC was endowed with the prominent performance. Molecular dynamics simulations further revealed the essence that hydrogen bond interactions between PVA and cellulose ethers play a critical role in regulating the structure and properties of hydrogels. Thermochromic capsule powders (TCPs) were subsequently doped in to achieve a composite hydrogel (TCPs@PB-MC) to indicate the change in human body temperature. Furthermore, the process of the TCPs@PB-MC response to glucose, pH, and temperature was tracked in-depth through the electrochemical window. This work provides a novel strategy for all-in-one health management of GDM.
Keyphrases
- pregnant women
- aqueous solution
- ionic liquid
- molecular dynamics simulations
- drug delivery
- hyaluronic acid
- wound healing
- heavy metals
- healthcare
- public health
- silver nanoparticles
- pregnancy outcomes
- mental health
- drug release
- endothelial cells
- extracellular matrix
- gold nanoparticles
- quantum dots
- health information
- type diabetes
- molecular docking
- blood pressure
- human health
- risk assessment
- insulin resistance
- optical coherence tomography
- risk factors
- metabolic syndrome
- metal organic framework
- single cell
- adipose tissue
- mass spectrometry
- tandem mass spectrometry
- chronic pain
- pluripotent stem cells
- network analysis