scholarly journals Fiber-optic array using molecularly imprinted microspheres for antibiotic analysis

2015 ◽  
Vol 6 (5) ◽  
pp. 3139-3147 ◽  
Author(s):  
Sergio Carrasco ◽  
Elena Benito-Peña ◽  
David R. Walt ◽  
María C. Moreno-Bondi

In this article we describe a new class of high-density optical microarrays based on molecularly imprinted microsphere sensors that directly incorporate specific recognition capabilities to detect enrofloxacin (ENRO), an antibiotic widely used for both human and veterinary applications.

2003 ◽  
Vol 48 (18) ◽  
pp. 1903-1905 ◽  
Author(s):  
Jianbing Fan ◽  
Diping Che ◽  
Chanfeng Zhao ◽  
Lixin Zhou ◽  
Wenyi Feng

2008 ◽  
Vol 24 (4) ◽  
pp. 748-755 ◽  
Author(s):  
C. Pegoraro ◽  
D. Silvestri ◽  
G. Ciardelli ◽  
C. Cristallini ◽  
N. Barbani

Author(s):  
Samuel Hone ◽  
Tieyuan Zhu

Abstract Thunderstorms are a common atmospheric phenomenon that cause abundant acoustic disturbances, which can interact with the ground surface, creating a link between atmospheric and solid Earth processes. This article reports seismological observations of four thunderstorms through the spring and summer of 2019, as recorded by the distributed acoustic sensing fiber-optic array (4.9 km) on the Penn State campus in State College, Pennsylvania. With a dense sensor array in the local region, we are able to construct the seismic full waveform response of the thunderstorm events (hereafter referred to as thunderquakes) and track the wave propagation across the array. We use a time-domain grid search to obtain the back azimuth and slowness of the waves, and a modified Geiger’s method to pinpoint source locations of the thunderquakes. Correlated with the time of the recorded signal, this data allows reconstruction of thunderstorm movement as well as offering measurements of the seismic velocity.


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