Santiago Marco

Universitat de Barcelona, Electrònica, Faculty Member

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I am a physicist interested in how signal and data processing plays a role in measurement science.

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Oleg Yu Vorobyev

Siberian Federal University

Bert Vaux

University of Cambridge

David Kalhous

Masaryk University

Yavor Shopov

Sofia University "St. Kliment Ohridski"

Tapan Sengupta

IIT Kanpur

Walter Grote

Universidad Técnica Federico Santa María

Mohammad Shojafar

University of Surrey

DAVE COWLEY

Historic Environment Scotland

Annajiat Alim Rasel

BRAC University

Shan Gao

Shanxi University

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Mutual Information for odor coding

Top: Mean performance of different sized arrays of receptors and different rece... more Top: Mean performance of different sized arrays of receptors and different receptive range. Mean and standard deviation (after 1,000 repetitions) of the evaluated coding capacity for homogenous groups of 4, 5, 6, 7, 8, 9, 10, 11, and 12 receptors for different RR of the receptors. The MI was calculated with sets of 256 stimuli, which limit the maximum array performance to 8 bits. The coding capacity increases with the number of receptors and there is an optimum coding capacity when the RR is about 50%. More selective (less RR) or less selective (more RR) gives a degraded performance. Bottom. Performance distribution of a 12-receptor array. Distribution of calculated MI for a 12-receptor array and 53% RR, after 1,000 trials. The histogram corresponds to step 5 of the routine (see <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0037809#pone-0037809-g001" target="_blank">figure 1</a>) and is used to calculate the mean performance and standard deviation of the ensemble (top).</p

RHINOS: A lightweight portable electronic nose for real-time odor quantification in wastewater treatment plants

iScience, 2021

Quantification of odor emissions in wastewater treatment plants (WWTPs) is key to minimize odor i... more Quantification of odor emissions in wastewater treatment plants (WWTPs) is key to minimize odor impact to surrounding communities. Odor measurements in WWTPs are usually performed via either expensive and discontinuous olfactometry hydrogen sulfide detectors or via fixed electronic noses. We propose a portable lightweight electronic nose specially designed for real-time odor monitoring in WWTPs using small drones. The so-called RHINOS e-nose allows odor measurements with high spatial resolution, and its accuracy is only slightly worse than that of dynamic olfactometry. The device has been calibrated using odor samples collected in a WWTP in Spain over a period of six months and validated in the same WWTP three weeks after calibration. The promising results obtained support the suitability of the proposed instrument to identify the odor sources having the highest emissions, which may give a useful indication to the plant managers as regards odor control and abatement.

Santiago Marco

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