2019
DOI: 10.1016/j.snb.2019.127062
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Chemoresistive sensors for colorectal cancer preventive screening through fecal odor: Double-blind approach

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Cited by 18 publications
(36 citation statements)
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“…Nowadays, the market for solid-state gas sensors is constantly growing, as they are used in a wide variety of applications, including indoor and outdoor air quality monitoring, medical screening and precision farming [ 1 , 2 , 3 , 4 ]. Solid-state gas sensors are divided in four different broad categories, i.e., chemoresistive, optical, electrochemical gas sensors and quartz microbalance [ 5 ].…”
Section: Introductionmentioning
confidence: 99%
“…Nowadays, the market for solid-state gas sensors is constantly growing, as they are used in a wide variety of applications, including indoor and outdoor air quality monitoring, medical screening and precision farming [ 1 , 2 , 3 , 4 ]. Solid-state gas sensors are divided in four different broad categories, i.e., chemoresistive, optical, electrochemical gas sensors and quartz microbalance [ 5 ].…”
Section: Introductionmentioning
confidence: 99%
“…This depends on the fact that smaller and less aggressive tumors emanate smaller quantities of different metabolites and VOCs when compared to more aggressive or bigger neoplasms, as was proven in both the histological exam (which confirmed the different size and aggressiveness of the tumoral formations) and by comparison with ST25 650+Au, which instead could distinguish them as the less polluting cancers for the circulatory system by their mere observed responses. This is a huge confirmation of the work carried out on these particular sensors, since those materials were explicitly chosen from the assessments that the team could finalize from previous works [1][2][3][4][5][6][7], sealing the reliability of some semiconductors for neoplasms screening in vitro applications.…”
Section: Discussionmentioning
confidence: 87%
“…Our team is now gathering further data, from different cell types and tumor affected patients also, to increase the statistic pool and try PCA and machine learning approaches (as already carried out in previous studies [6,7]) on these new kinds of neoplasm, in order to visualize better defined patterns and program recognition algorithms from the resulting analysis. This comes with the following goals:…”
Section: Discussionmentioning
confidence: 99%
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