Inflammatory biomarkers are closely related to infectious diseases. However, traditional clinical tests of laboratory inspection are unable to achieve rapid and accurate detection of these biomarkers on-site due to shortcomings such as complex experimental operation, expensive equipment, and long test time. Herein, we proposed a lateral flow assay (LFA) strip based on surface-enhanced Raman scattering (SERS) nanotags (SERS-LFA strips) for the simultaneous and quantitative detection of dual infection biomarkers, serum amyloid A (SAA) and C-reactive protein (CRP), respectively. In practice, mesoporous silica (mSiO₂)-coated Au nanoparticles (Au NPs) were used as the SERS substrate. Mercaptobenzoic acid (MBA) was embedded in the internal gap between Au NPs and the mSiO₂ shell to prepare Au^MBA@mSiO₂ NPs, onto which SAA and CRP antibodies were modified to prepare two Au^MBA@mSiO₂ SERS nanotags. The Raman intensities of the test and control lines were simultaneously identified for the qualitative detection of SAA and CRP, with limits of detection (LODs) as low as 0.1 and 0.05 ng/mL for SAA and CRP, respectively. Finally, aiming at point-of-care testing (POCT) applications, we used a smartphone-based portable Raman spectrometer to quantitatively analyze the SERS-LFA strips. The Raman signal could still be accurately detected when the concentration of SAA and CRP was 10 ng/mL, which is lower than the LOD required in clinical practice for most diseases. Therefore, taking into account its simple operation and short analysis time, by using a portable Raman spectrometer which can be equipped with a 5G cloud-based healthcare management system, the current strategy based on SERS-LFA provides the potential for the quick and on-site diagnosis of infectious diseases such as sepsis, which is of great significance for medical guidance on the treatment of widely spread infection-related diseases in remote areas that lack well-developed medical resources.

Hydrogel, a material with outstanding biocompatibility and shape deformation ability, has recently become a hot topic for researchers studying innovative functional materials due to the growth of new biomedicine. Due to their stimulus responsiveness to external environments, hydrogels have progressively evolved into “smart” responsive (such as to pH, light, electricity, magnetism, temperature, and humidity) materials in recent years. The physical and chemical properties of hydrogels have been used to construct hydrogel micro-nano robots which have demonstrated significant promise for biomedical applications. The different responsive deformation mechanisms in hydrogels are initially discussed in this study; after which, a number of preparation techniques and a variety of structural designs are introduced. This study also highlights the most recent developments in hydrogel micro-nano robots’ biological applications, such as drug delivery, stem cell treatment, and cargo manipulation. On the basis of the hydrogel micro-nano robots’ current state of development, current difficulties and potential future growth paths are identified.

In this work, 1vol.%, 3vol.% and 5vol.% TiBw/Ti60 composites were fabricated by spark plasma sintering (SPS) at 1150 °C with Ti60 powder and B powder. Scanning electron microscopy (SEM) confirmed that micro-nano enhancement TiBw can be obtained by SPS and the network structure were formed in the 3vol.% TiBw/Ti60 composites. The tensile properties of composites with different volume fraction at 600 °C show that 3vol.% TiBw/Ti60 composites have optimum comprehensive mechanical properties. The microstructure of thermal deformation of the 3vol.% TiBw/Ti60 composites shows that the matrix grains recrystallized at 1050 °C and the grains were refined. The tensile strength and elongation of the composites increased at first and then decreased with the increase of thermal deformation temperature. Highest values for flexural strength (∼752 MPa) and elongation (∼7.03%) were attained at 1050 °C, respectively. The strengthening mechanism can be mainly attributed to the directional arrangement of reinforcements and the grain refinement of the matrix.