- 标题
- 摘要
- 关键词
- 实验方案
- 产品
-
A Self-Reporting Photocatalyst for Online Fluorescence Monitoring of High Throughput RAFT Polymerization
摘要： Translating controlled/living radical polymerization (CLRP) from batch to the high throughput production of polymer libraries presents several challenges in terms of both polymer synthesis and characterization. Although recently there have been significant advances in the field of low volume, high throughput CLRP, techniques able to simultaneously monitor multiple polymerizations in an 'online' manner have not yet been developed. Here, we report our discovery that 5,10,15,20-tetraphenyl-21H,23H-porphine zinc (ZnTPP) is a self-reporting photocatalyst that can mediate PET-RAFT polymerization as well as report on monomer conversion via changes in its fluorescence properties. This enables the use of a microplate reader to conduct high throughput 'online' monitoring of PET-RAFT polymerizations performed directly in 384-well, low volume microtiter plates.
关键词： photochemistry,polymerization,online monitoring,PET-RAFT
更新于2025-09-23 15:22:29
-
A data-driven model for weld bead monitoring during the laser welding assisted by magnetic field
摘要： In this research, a data-driven model is developed to monitor the seam during the laser beam welding under the influence of an external magnetic field (LBW-AMF). Firstly, a visible LBW-AMF system is built for tracking the laser melting pool and keyhole. Then, the features of the laser melting pool and keyhole are extracted with image processing techniques. The approach for an ensemble of different neural networks which includes radial basis function neural network, back-propagation neural network, and generalized regression neural network is proposed to establish the correlations of the characteristics of the laser melting pool and keyhole and the welding seam. Finally, LBW-AMF experimental results are obtained to validate the performance of the proposed data-driven model. Results illustrate that the developed model can provide a reliable result for monitoring the weld bead, which could give guidance for controlling the processing parameters in real time to improve the weld quality for practical LBW-AMF.
关键词： Image processing,Laser beam welding,Neural networks,Online monitoring,Data-driven model
更新于2025-09-23 15:21:01
-
Online monitoring of roof-mounted stand-alone solar photovoltaic system on residential building
摘要： Advancement in solar photovoltaic (SPV) system technologies over past decades has resulted in regular decrease in prices of the systems world-over. The number of installations is projected to increase manifolds due to proactive Government policies and support for market development. There is need to study performance of already installed systems and establish benchmarks of expected performance in a given region. The benchmarks will be useful for performance contractors as well as users of the systems. Also, there is growing need to create awareness among stakeholders about scope for enhancing performance of the system through effective operation and maintenance of the systems. In the present work, we analyze performance of recently installed roof-mounted stand-alone solar photovoltaic system on a residential building, that is equipped with internet based online performance monitoring platform. This is the ?rst of its kind of work in the region, reporting results of monitoring of performance of a remotely located system, over a period of one full year in the state of Goa, India. The data has been acquired at regular intervals of ten minutes for one year using the platform for online performance monitoring. The results con?rm that the online performance monitoring platform is a potentially advantageous feature of the system for both system integrators as well as system operators or users. The results provide useful basis for comparison of performance in terms of performance ratio and energy yield of the system. The results are also useful for predicting performance and maximizing capacity utilization of the system.
关键词： Performance ratio,Stand-alone SPV system,Online monitoring,Energy yield
更新于2025-09-16 10:30:52
-
[IEEE 2019 SBFoton International Optics and Photonics Conference (SBFoton IOPC) - Sao Paulo, Brazil (2019.10.7-2019.10.9)] 2019 SBFoton International Optics and Photonics Conference (SBFoton IOPC) - Online Monitoring of Cell Growth on PDMS-PDMS Reversible Microfluidic Bioreactor Integrated to Optical Fiber Sensor
摘要： A microfluidic bioreactor was fabricated by curing PDMS over 3D-printed molds, and it contains microchannels and perfusion chambers instrumented with optical fibers for the online analysis of the cellular growth. The channels were designed for allowing both the complete mixture of reagents and the possibility of generation of concentration gradients, and the perfusion chambers are isolated from them by polycarbonate membranes, providing a chemical environment with a constant concentration of nutrients for the cells. The optical fibers are laterally inserted in the chambers, and the monitoring of cells concentration is based on the quasi-elastic light scattering: as the total number of cells grows, there is an increase on the dispersion of the reflected intensity data, and the autocorrelation of the values allows the inference of the concentration. The sensor signals obtained during the fermentation of S. cerevisiae were equivalent to the cell counting on the Neubauer chamber using an optical microscope, leading to a value of the maximum specific growth rate μm of 0.50 h-1. This optical monitoring system has proven to be easily manufacturable and capable of performing fast screening and online monitoring of the microbial kinetics.
关键词： microbial kinetics,online monitoring,optical fiber sensor,quasi-elastic light scattering,Microfluidic bioreactor
更新于2025-09-12 10:27:22