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Biosensors always suffer from passivation that prevents their reutilization. To address this issue, photocatalytically renewable sensors composed of semiconductor photocatalysts and sensing materials have emerged recently. In this work, we developed a robust and versatile method to construct different kinds of renewable biosensors consisting of ZnO nanorods and nanostructured Au. Via a facile and efficient photochemical reduction, various nanostructured Au was obtained successfully on ZnO nanorods. As-prepared sensors concurrently possess excellent sensing capability and desirable photocatalytic cleaning performance. Experimental results demonstrate that dendritic Au/ZnO composite has the strongest surface-enhanced Raman scattering (SERS) enhancement, and dense Au nanoparticles (NPs)/ZnO composite has the highest electrochemical activity, which was successfully used for electrochemical detection of NO release from cells. Furthermore, both of the SERS and electrochemical sensors can be regenerated efficiently for renewable applications via photodegrading adsorbed probe molecules and biomolecules. Our strategy provides an efficient and versatile method to construct various kinds of highly sensitive renewable sensors and might expand the application of the photocatalytically renewable sensor in the biosensing area.

Extensive evidence indicates that oxidative stress plays a pivotal role in the development of osteoporosis. We show that naringin, a natural antioxidant and anti-inflammatory compound, effectively protects human adipose-derived mesenchymal stem cells (hADMSCs) against hydrogen peroxide (H2O2)-induced inhibition of osteogenic differentiation. Naringin increased viability of hAMDSCs and attenuated H2O2-induced cytotoxicity. Naringin also reversed H2O2-induced oxidative stress. Oxidative stress induced by H2O2 inhibits osteogenic differentiation by decreasing alkaline phosphatase (ALP) activity, calcium content and mRNA expression levels of osteogenesis marker genes RUNX2 and OSX in hADMSCs. However, addition of naringin leads to a significant recovery, suggesting the protective effects of naringin against H2O2-induced inhibition of osteogenic differentiation. Furthermore, the H2O2-induced decrease of protein expressions of β-catenin and clyclin D1, two important transcriptional regulators of Wnt-signaling, was successfully rescued by naringin treatment. Also, in the presence of Wnt inhibitor DKK-1, naringin is no longer effective in stimulating ALP activity, increasing calcium content and mRNA expression levels of RUNX2 and OSX in H2O2-exposed hADMSCs. These data clearly demonstrates that naringin protects hADMSCs against oxidative stress-induced inhibition of osteogenic differentiation, which may involve Wnt signaling pathway. Our work suggests that naringin may be a useful addition to the treatment armamentarium for osteoporosis and activation of Wnt signaling may represent attractive therapeutic strategy for the treatment of degenerative disease of bone tissue.

The vertical variation and storage of nitrogen in the depth of 0–150 cm of an aquic brown soil were studied under 14 years of four land use patterns, i.e., paddy field, maize field, fallow field and woodland in Shenyang Experimental Station of Ecology, Chinese Academy of Sciences in November of 2003. The results showed that different land uses had different profile distributions of soil total nitrogen (STN), alkali N, ammonium (NH4 +-N) and nitrate (NO3 −-N). The sequence of STN storage was woodland>maize field>fallow field>paddy field, while that of NO3 −-N content was maize field>paddy field>woodland>fallow field, suggesting the different root biomass and biological N cycling under various land uses. The STN storage in the depth of 0–100 cm of woodland averaged to 11.41 t·hm−1, being 1.65 and 1.25 times as much as that in paddy and maize fields, respectively, while there was no significant difference between maize and fallow fields. The comparatively higher amount NO3 −-N in maize and paddy fields may be due to nitrogen fertilization and anthropogenic disturbance. Soil alkali N was significantly related with STN, and the correlation could be expressed by a linear regression model under each land use (R 2≥0.929,p