scholarly journals Effects of Sampling Conditions and Environmental Factors on Fecal Volatile Organic Compound Analysis by an Electronic Nose Device

Sensors ◽  
2016 ◽  
Vol 16 (11) ◽  
pp. 1967 ◽  
Author(s):  
Daniel Berkhout ◽  
Marc Benninga ◽  
Ruby van Stein ◽  
Paul Brinkman ◽  
Hendrik Niemarkt ◽  
...  
2019 ◽  
Vol 13 (4) ◽  
pp. 046001 ◽  
Author(s):  
Sofie Bosch ◽  
Jesse PM Lemmen ◽  
Renée Menezes ◽  
René van der Hulst ◽  
Johan Kuijvenhoven ◽  
...  

2018 ◽  
Vol 7 (3.28) ◽  
pp. 49 ◽  
Author(s):  
Rajina R Mohamed ◽  
Razali Yaacob ◽  
Mohamad A Mohamed ◽  
Tengku Azahar Tengku Dir ◽  
F A Rahim

Generally, E-nose mimics human olfactory sense to detect and distinguish an odor or gasses or volatile organic compound from a few objects such as food, chemicals, explosive etc. Thus, E-nose can be used to measure gas emitted from food due to its ability to measure gas and odor. Principally, the E-nose operates by using a number of sensors to response to the odorant molecules (aroma). Each sensor will respond to their specific gas respectively. These sensors are a major part of the electronic nose to detect gas or odor contained in a volatile component. Information about the gas detected by sensors will be recorded and transmitted to the signal processing unit to perform the analysis of volatile organic compound (VOC) pattern and stored in the database classification, in order to determine the type of odor. Classification is a way to distinguish a mixture odor/aroma obtained from gas sensors in an electric signal form. In this paper, we discussed briefly about electronic nose, it’s principle of work and classification method and in order to classify food freshness.  


Author(s):  
Silvano Dragonieri ◽  
Vitaliano Nicola Quaranta ◽  
Enrico Buonamico ◽  
Fabrizio Diaferia ◽  
Giovanna Elisiana Carpagnano

Author(s):  
Silvano Dragonieri ◽  
Vitaliano N Quaranta ◽  
Pierluigi Carratu ◽  
Teresa Ranieri ◽  
Giovanna Elisiana Carpagnano ◽  
...  

2016 ◽  
Vol 16 (6) ◽  
pp. 3903-3925 ◽  
Author(s):  
Eliane G. Alves ◽  
Kolby Jardine ◽  
Julio Tota ◽  
Angela Jardine ◽  
Ana Maria Yãnez-Serrano ◽  
...  

Abstract. Tropical rainforests are an important source of isoprenoid and other volatile organic compound (VOC) emissions to the atmosphere. The seasonal variation of these compounds is however still poorly understood. In this study, vertical profiles of mixing ratios of isoprene, total monoterpenes and total sesquiterpenes, were measured within and above the canopy, in a primary rainforest in central Amazonia, using a proton transfer reaction – mass spectrometer (PTR-MS). Fluxes of these compounds from the canopy into the atmosphere were estimated from PTR-MS measurements by using an inverse Lagrangian transport model. Measurements were carried out continuously from September 2010 to January 2011, encompassing the dry and wet seasons. Mixing ratios were higher during the dry (isoprene – 2.68 ± 0.9 ppbv, total monoterpenes – 0.67 ± 0.3 ppbv; total sesquiterpenes – 0.09 ± 0.07 ppbv) than the wet season (isoprene – 1.66 ± 0.9 ppbv, total monoterpenes – 0.47 ± 0.2 ppbv; total sesquiterpenes – 0.03 ± 0.02 ppbv) for all compounds. Ambient air temperature and photosynthetically active radiation (PAR) behaved similarly. Daytime isoprene and total monoterpene mixing ratios were highest within the canopy, rather than near the ground or above the canopy. By comparison, daytime total sesquiterpene mixing ratios were highest near the ground. Daytime fluxes varied significantly between seasons for all compounds. The maximums for isoprene (2.53 ± 0.5 µmol m−2 h−1) and total monoterpenes (1.77 ± 0.05 µmol m−2 h−1) were observed in the late dry season, whereas the maximum for total sesquiterpenes was found during the dry-to-wet transition season (0.77 ± 0.1 µmol m−2 h−1). These flux estimates suggest that the canopy is the main source of isoprenoids emitted into the atmosphere for all seasons. However, uncertainties in turbulence parameterization near the ground could affect estimates of fluxes that come from the ground. Leaf phenology seemed to be an important driver of seasonal variation of isoprenoid emissions. Although remote sensing observations of changes in leaf area index were used to estimate leaf phenology, MEGAN 2.1 did not fully capture the behavior of seasonal emissions observed in this study. This could be a result of very local effects on the observed emissions, but also suggest that other parameters need to be better determined in biogenic volatile organic compound (BVOC) models. Our results support established findings that seasonality of isoprenoids are driven by seasonal changes in light, temperature and leaf phenology. However, they suggest that leaf phenology and its role on isoprenoid production and emission from tropical plant species needs to be better understood in order to develop mechanistic explanations for seasonal variation in emissions. This also may reduce the uncertainties of model estimates associated with the responses to environmental factors. Therefore, this study strongly encourages long-term measurements of isoprenoid emissions, environmental factors and leaf phenology from leaf to ecosystem scale, with the purpose of improving BVOC model approaches that can characterize seasonality of isoprenoid emissions from tropical rainforests.


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