METHODS FOR IMPROVING PEROVSKITE SOLAR CELLS

    公开(公告)号:US20240315062A1

    公开(公告)日:2024-09-19

    申请号:US18604365

    申请日:2024-03-13

    IPC分类号: H10K30/82 H10K30/40

    CPC分类号: H10K30/82 H10K30/40

    摘要: The present disclosure relates to a device that includes a first metal oxide layer having a first thickness, a second metal oxide layer having a second thickness, and a base layer having a third thickness, where the first metal oxide layer is positioned between the base layer and the second metal oxide layer, at least one of the base layer and/or the first metal oxide layer includes a carbon-containing material, and at least one of a carbon concentration gradient and/or an oxygen concentration gradient is present across at least one of a portion of the first thickness and/or a portion of the third thickness. In some embodiments of the present disclosure, the first metal oxide layer may be permeable to an oxygen-containing compound. In some embodiments of the present disclosure, the oxygen-containing compound may include at least one of O3, N2O, and/or H2O2.

    Plasma metabolome as a predictor of biological aging

    公开(公告)号:US12080432B1

    公开(公告)日:2024-09-03

    申请号:US15995966

    申请日:2018-06-01

    摘要: Chronological age is an important predictor of morbidity and mortality, however it is unable to account for heterogeneity in the decline of physiological function and health with advancing age. Several attempts have been made to instead define a “biological age” using multiple physiological parameters in order to account for variation in the trajectory of human aging; however, these methods require technical expertise and are likely too time-intensive and costly to be implemented into clinical practice. Accordingly, a metabolomic signature of biological aging was developed that can predict changes in physiological function with the convenience of a blood sample. A weighted model of biological age was generated based on multiple clinical and physiological measures in a large group of healthy adults and was then applied to a cohort of healthy older adults who were tracked longitudinally over a 5-10 year timeframe. Plasma metabolomic signatures were identified that were associated with biological age, including some that could predict whether individuals would age at a faster or slower rate. These results not only have clinical implications by providing a simple blood-based assay of biological aging, but also provide insight into the molecular mechanisms underlying human healthspan.