Background A task assigned to space exploration satellites involves detecting the physical environment within a certain space.However,space detection data are complex and abstract.These data are not conducive for rese...Background A task assigned to space exploration satellites involves detecting the physical environment within a certain space.However,space detection data are complex and abstract.These data are not conducive for researchers'visual perceptions of the evolution and interaction of events in the space environment.Methods A time-series dynamic data sampling method for large-scale space was proposed for sample detection data in space and time,and the corresponding relationships between data location features and other attribute features were established.A tone-mapping method based on statistical histogram equalization was proposed and applied to the final attribute feature data.The visualization process is optimized for rendering by merging materials,reducing the number of patches,and performing other operations.Results The results of sampling,feature extraction,and uniform visualization of the detection data of complex types,long duration spans,and uneven spatial distributions were obtained.The real-time visualization of large-scale spatial structures using augmented reality devices,particularly low-performance devices,was also investigated.Conclusions The proposed visualization system can reconstruct the three-dimensional structure of a large-scale space,express the structure and changes in the spatial environment using augmented reality,and assist in intuitively discovering spatial environmental events and evolutionary rules.展开更多
There is a strong correlation between bisphenol A(BPA)and the risks of endocrine disruption in humans.However,the mechanism behind this correlation is still unknown due to the challenge of accurately assessing BPA lev...There is a strong correlation between bisphenol A(BPA)and the risks of endocrine disruption in humans.However,the mechanism behind this correlation is still unknown due to the challenge of accurately assessing BPA levels in biological matrices.Herein,we demonstrate a molecularly imprinted polymer(MIP)modified impedimetric sensor treated with bovine serum albumin(BSA)not only reduces the impact of protein interference but also maintains both specificity and sensitivity for the precise analysis of BPA.The platinum disc electrode was coated with MIP via electrochemical polymerization of o-phenylenediamine(o-PD)in the presence of BPA as a template,and free sites were then blocked with 1%BSA.Electrochemical impedance spectroscopy(EIS)was utilized for the detection of BPA.The linear range for detection was between 1.0 pg/L and 10.0 ng/L,with a detection limit(LOD)of 0.28 pg/L.The sensor presented a good selectivity over structurally similar steroid hormones and BPA metabolites.To validate the performance of the proposed sensor in the presence of possible interfering proteins,it was used to quantify BPA in real samples without any prior treatment.These findings indicate that such an impedimetric sensor can be used to measure BPA in complex matrices.展开更多
文摘Background A task assigned to space exploration satellites involves detecting the physical environment within a certain space.However,space detection data are complex and abstract.These data are not conducive for researchers'visual perceptions of the evolution and interaction of events in the space environment.Methods A time-series dynamic data sampling method for large-scale space was proposed for sample detection data in space and time,and the corresponding relationships between data location features and other attribute features were established.A tone-mapping method based on statistical histogram equalization was proposed and applied to the final attribute feature data.The visualization process is optimized for rendering by merging materials,reducing the number of patches,and performing other operations.Results The results of sampling,feature extraction,and uniform visualization of the detection data of complex types,long duration spans,and uneven spatial distributions were obtained.The real-time visualization of large-scale spatial structures using augmented reality devices,particularly low-performance devices,was also investigated.Conclusions The proposed visualization system can reconstruct the three-dimensional structure of a large-scale space,express the structure and changes in the spatial environment using augmented reality,and assist in intuitively discovering spatial environmental events and evolutionary rules.
基金supported by the Foundation of Liaoning Province Education Administration(LJKZ1145)the Natural Science Foundation of Liaoning Province(2022–NLTS–14–02)。
文摘There is a strong correlation between bisphenol A(BPA)and the risks of endocrine disruption in humans.However,the mechanism behind this correlation is still unknown due to the challenge of accurately assessing BPA levels in biological matrices.Herein,we demonstrate a molecularly imprinted polymer(MIP)modified impedimetric sensor treated with bovine serum albumin(BSA)not only reduces the impact of protein interference but also maintains both specificity and sensitivity for the precise analysis of BPA.The platinum disc electrode was coated with MIP via electrochemical polymerization of o-phenylenediamine(o-PD)in the presence of BPA as a template,and free sites were then blocked with 1%BSA.Electrochemical impedance spectroscopy(EIS)was utilized for the detection of BPA.The linear range for detection was between 1.0 pg/L and 10.0 ng/L,with a detection limit(LOD)of 0.28 pg/L.The sensor presented a good selectivity over structurally similar steroid hormones and BPA metabolites.To validate the performance of the proposed sensor in the presence of possible interfering proteins,it was used to quantify BPA in real samples without any prior treatment.These findings indicate that such an impedimetric sensor can be used to measure BPA in complex matrices.
