We evaluated the effects of red and blue light on the repair of UV-B radiation-induced damage in tetraspores of Chondrus ocellatus Holm. Tetraspores of C. ocellatus were treated with different UV-B radiation levels(0,36,72,108,144 and 180 J/m2),and thereafter subjected to PAR,darkness,or red or blue light during a 2-h repair stage,each day for 48 days. The diameters and cellular contents of cyclobutane pyrimidine dimmers(CPDs),chlorophyll a(Chl a),phycoerythrin,and UV-B-absorbing mycosporinelike amino acids(MAAs) contents of the tetraspores were determined. Our results show that low doses of UV-B radiation(36 and 72 J/m 2) promoted the growth of C. ocellatus; however,increased UV-B radiation gradually reduced the C. ocellatus growth(greater than 72 J/m2). The MAAs(palythine and asterina-330) in C. ocellatus were detected and analyzed by LC/MS. Our results suggest that moderate red light could induce the growth of this alga in aquaculture. In addition,photorepair was inhibited by red light,so there may be some other DNA repair mechanism activated by red light. Blue light promoted the activity of DNA photolyase,greatly improving remediation efficiency. Red and blue lights were found to reduce the capacity of C. ocellatus to form MAAs. Therefore,PAR,red light,and blue light play different roles during the repair processes for damage induced by UV-B radiation. 相似文献
The boron isotopic ratio of 11B/10B (δ11BSRM951) and trace element composition of marine carbonates are key proxies for understanding carbon cycling (pH) and palaeoceanographic change. However, method validation and comparability of results between laboratories requires carbonate reference materials. Here, we report results of an inter‐laboratory comparison study to both assign δ11BSRM951 and trace element compositions to new synthetic marine carbonate reference materials (RMs), NIST RM 8301 (Coral) and NIST RM 8301 (Foram) and to assess the variance of data among laboratories. Non‐certified reference values and expanded 95% uncertainties for δ11BSRM951 in NIST RM 8301 (Coral) (+24.17‰ ± 0.18‰) and NIST RM 8301 (Foram) (+14.51‰ ± 0.17‰) solutions were assigned by consensus approach using inter‐laboratory data. Differences reported among laboratories were considerably smaller than some previous inter‐laboratory comparisons, yet discrepancies could still lead to large differences in calculated seawater pH. Similarly, variability in reported trace element information among laboratories (e.g., Mg/Ca ± 5% RSD) was often greater than within a single laboratory (e.g., Mg/Ca < 2%). Such differences potentially alter proxy‐reconstructed seawater temperature by more than 2 °C. These now well‐characterised solutions are useful reference materials to help the palaeoceanographic community build a comprehensive view of past ocean changes. 相似文献
The fast estimation of volumes of landslide deposit has great significance for emergency rescue decision-making, such as deposit filling and excavation and road dredging. The existing methods for the volumes of landslide deposit estimation have the disadvantages of a long data acquisition cycle, poor timeliness and high cost. Therefore, this paper researches a fast estimation method of volumes of landslide deposit based on the 3D reconstruction of smartphone images. First, the improved algorithms of speeded up robust features (SURF) and oriented fast and rotated brief (ORB) algorithms are combined to realize the fast matching of landslide feature points. Second, the 3D scene sparse reconstruction of landslide deposit is realized through boundary constraints. Third, taking the steepest gradient into account, the interpolation of the bottom of the landslide deposit and the fast estimation of the volumes are carried out. Finally, a prototype system is developed, and a case study is performed. The experimental results show that the estimation results of the proposed method are between those of the commercial software ContextCapture, Metashape and Pix4Dmapper, which are commonly used in the field of 3D reconstruction, but the estimation speed is 1–2 times faster than that of the commercial software mentioned above. The proposed method can realize the low-cost and fast estimation of landslide deposit volumes and provide technical support for landslide emergency rescue.