Biological gradients are more than linear, one-dimensional phenomena-they often manifest radial geometries superimposed over tissue features and in turn, elicit a spatial response. In wound healing, injury to tissue produces a hypoxic gradient towards the center of the wound, and wound cells respond to this by secreting growth hormones to promote healing. Despite this spatial element in tissue hypoxia, most in vitro hypoxia techniques rely on linear, diffusion-based gradients of limited dimensions. To demonstrate a large area, radial hypoxia gradient, a concentric spiral microfluidics was devised to balance oxygen diffusion against nitrogen convection. The devices were fabricated using only a simple robotic cutter and soft lithography. With these spirals, spatial gradients of 3-15 % oxygen were delivered to fibroblast cells seeded across a gas-permeable membrane to modulate VEGF secretions. This technique opens the door for more studies on hypoxic gradients in wound healing and a number of tissue oxygen applications.
The fault detection of star sensor in satellite when no telemetry data from the gyroscope can be obtained is investigated. An algorithm based on the unscented Kalman filter (UKF) is proposed to indicate the occurrence of the fault. By adding the angular speed of the satellite into the state equation, the UKF is designed to estimate the angular and the angular speed of the satellite. After that, a comparison between the measured and the estimated value of both the angular and the angular speed is made. In this way, the star sensor fault can be finally detected. Two fault cases (abrupt constant fault and noise increase fault) are taken into consideration in the simulation to show the validness of the present algorithm. Furthermore, a test verification by using the real telemetry data on orbit is performed to demonstrate that the present algorithm can detect the star sensor fault effectively. In application, the developed fault detection algorithm can be employed in the ground measurement and control station to monitor the star sensor fault such that the fault can be detected immediately and the alarm indicating the occurrence of the fault will be given.
Introduction: Bacterial wilt (BW) caused by the aerobic, Gram-negative pathogenic species Ralstonia solanacearum (RS) is a major disease impacting commercial agriculture worldwide. Asian phylotype I of RS is the cause of tomato bacterial wilt, which has caused severe economic losses in southern China for many years. An urgent priority in control of bacterial wilt is development of rapid, sensitive, effective methods for detection of RS.Methods: We describe here a novel RS detection assay based on combination of loop-mediated isothermal amplification (LAMP) and CRISPR/Cas12a. crRNA1, with high trans-cleavage activity targeting hrpB gene, was selected out of four candidate crRNAs. Two visual detection techniques, involving naked-eye observation of fluorescence and lateral flow strips, were tested and displayed high sensitivity and strong specificity.Results and Discussion: The LAMP/Cas12a assay accurately detected RS phylotype Ⅰ in 14 test strains, and showed low detection limit (2.0 × 100 copies). RS in tomato stem tissue and soil samples from two field sites with suspected BW infection was identified accurately, suggesting potential application of LAMP/Cas12a assay as point-of-care test (POCT). The overall detection process took less than 2 h and did not require professional lab equipment. Our findings, taken together, indicate that LAMP/Cas12a assay can be developed as an effective, inexpensive technique for field detection and monitoring of RS.
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