scholarly journals Optical Fiber Sensing Applications: Detection and Identification of Gases and Volatile Organic Compounds

10.5772/28481 ◽  
2012 ◽  
Author(s):  
Cesar Elosua ◽  
Candido Bariain ◽  
Ignacio R.
Sensors ◽  
2020 ◽  
Vol 20 (9) ◽  
pp. 2555
Author(s):  
Diego Lopez-Torres ◽  
Cesar Elosua ◽  
Francisco J. Arregui

Since the first publications related to microstructured optical fibers (MOFs), the development of optical fiber sensors (OFS) based on them has attracted the interest of many research groups because of the market niches that can take advantage of their specific features. Due to their unique structure based on a certain distribution of air holes, MOFs are especially useful for sensing applications: on one hand, the increased coupling of guided modes into the cladding or the holes enhances significantly the interaction with sensing films deposited there; on the other hand, MOF air holes enhance the direct interaction between the light and the analytes that get into in these cavities. Consequently, the sensitivity when detecting liquids, gasses or volatile organic compounds (VOCs) is significantly improved. This paper is focused on the reported sensors that have been developed with MOFs which are applied to detection of gases and VOCs, highlighting the advantages that this type of fiber offers.


Author(s):  
Dalma Radványi ◽  
András Geösel ◽  
Zsuzsa Jókai ◽  
Péter Fodor ◽  
Attila Gere

Button mushrooms are one of the most commonly cultivated mushroom species facing different risks e.g.: viral, bacterial and fungal diseases. One of the most common problems is caused by Trichoderma aggressivum, or ‘green mould' disease. The presence or absence of mushroom disease-related moulds can sufficiently be detected from the air by headspace solid-phase microextraction coupled gas chromatography-mass spectrometry (HS SPME GC-MS) via their emitted microbial volatile organic compounds (MVOCs). In the present study, HS SPME GC-MS was used to explore the volatile secondary metabolites released by T. aggressivum f. europaeum on different nutrient-rich and -poor media. The MVOC pattern of green mould was determined, then media-dependent and independent biomarkers were also identified during metabolomic experiments. The presented results provide the basics of a green mould identification system which helps producers reducing yield loss, new directions for researchers in mapping the metabolomic pathways of T. aggressivum and new tools for policy makers in mushroom quality control.


2020 ◽  
Vol 311 ◽  
pp. 127864 ◽  
Author(s):  
Asma Khalid ◽  
Lu Peng ◽  
Azim Arman ◽  
Stephen C. Warren-Smith ◽  
Erik P. Schartner ◽  
...  

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