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21.
Ability of a Microbial Consortium to Remove Pesticide,Carbendazim and 2,4-Dichlorophenoxyacetic Acid
Pattanasupong Anchana Nagase Hiroyasu Inoue Mariko Hirata Kazumasa Tani Katsuji Nasu Masao Miyamoto Kazuhisa 《World journal of microbiology & biotechnology》2004,20(5):517-522
A bacterial consortium capable of simultaneously degrading the fungicide, carbendazim, and the herbicide, 2,4-dichlorophenoxyacetic acid (2,4-D) was obtained by enrichment of soil samples collected from paddy fields in Japan. This consortium was acclimated in a continuously fed culture with 20 M carbendazim and 2 mM 2,4-D as sole carbon sources using a glass column reactor. By denaturing gradient gel electrophoresis, we observed changes in the bacterial population following the degradation of the both pesticides. This acclimated consortium completely degraded up to 100 M carbendazim and 3 mM 2,4-D within 36 and 24 h, respectively, in batch culture, but a lag time was observed after precultivation in a rich medium. The immobilization of the consortium on a polyester support enhanced the degradation ability of this consortium compared with the use of free cells. This microbial consortium could be useful for bioremediation at sites contaminated with these pesticides. 相似文献
22.
The effects of salinity, light intensity and sediment on Gracilaria tenuistipitata C.F. Chang & B.M. Xia on growth, pigments, agar production, and net photosynthesis rate were examined in the laboratory under varying conditions of salinity (0, 25 and 33 psu), light intensity (150, 400, 700 and 1000 µmol photons m?2 s?1) and sediment (0, 0.67 and 2.28 mg L?1). These conditions simulated field conditions, to gain some understanding of the best conditions for cultivation of G. tenuistipitata. The highest growth rate was at 25 psu, 700 µmol photons m?2 s?1 with no sediments, that provided a 6.7% increase in weight gain. The highest agar production (24.8 ± 3.0 %DW) was at 25 psu, 150–400 µmol photons m?2 s?1 and no sediment. The highest pigment contents were phycoerythrin (0.8 ± 0.5 mg g?1FW) and phycocyanin (0.34 ± 0.05 mg g?1 FW) produced in low light conditions, at 150 µmol photons m?2 s?1. The highest photosynthesis rate was 161.3 ± 32.7 mg O2 g?1 DW h?1 in 25 psu, 400 µmol photons m?2 s?1 without sediment in the short period of cultivation, (3 days) and 60.3 ± 6.7 mg O2 g?1 DW h?1 in 25 psu, 700 µmol photons m?2 s?1 without sediment in the long period of cultivation (20 days). The results indicated that salinity was the most crucial factor affecting G. tenuistipitata growth and production. This would help to promote the cultivation of Gracilaria cultivation back into the lagoon using these now determined baseline conditions. Extrapolation of the results from the laboratory study to field conditions indicated that it was possible to obtain two crops of Gracilaria a year in the lagoon, with good yields of agar, from mid‐January to the end of April (dry season), and from mid‐July to the end of September (first rainy season) when provided sediment was restricted. 相似文献
23.
Himanshu Matalia Jyoti Matalia Anchana Pisharody Yash Patel Nandini Chinnappaiah Marcella Salomao Renato Ambrosio Abhijit Sinha Roy 《Journal of biophotonics》2020,13(10)
The purpose of this study was to assess unique corneal tomographic parameters of allergic eye disease (AED) using optical coherence tomography (OCT) and artificial intelligence (AI). A total of 57 eyes diagnosed with AED were included. The curvature and aberrations of the air‐epithelium (A‐E) and epithelium‐Bowman's layer (E‐B) interfaces were calculated. Random forest AI models were built combing this data with the parameters of healthy, forme fruste keratoconus (FFKC) and KC eyes. The AI models were cross‐validated with 3‐fold random sampling. Each model was limited to 10 trees. The AI model incorporating both A‐E and E‐B parameters provided the best classification of AED eyes (area under the curve = 0.958, sensitivity = 80.7%, specificity = 98.5%, precision = 88.2%). Further, the E‐B interface parameters provided the highest information gain in the AI model. A few AED eyes (n = 9) had tomography parameters similar to FFKC and KC eyes and may be at risk of progression to KC. 相似文献