Quantitative analysis of ternary vapor mixtures using a microcantilever-based electronic nose

Pinnaduwage, Lal A.; Zhao, Weichang; Gehl, Anthony C.; Allman, S. L.; Shepp, Allan; Mahmud, Ken K.; Leis, John

doi:10.1063/1.2763965

Cited by 16 publications

(15 citation statements)

References 21 publications

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“…The theoretical results calculated using Eq. (19) show similar trends; however, the theory overestimates the frequency drop. When using longer beams (i.e., 1000 Â 90 Â 10.9 lm 3 ), the predicted decrease in the resonant frequency has shown better agreement with the experimental results (see Fig.…”

Section: B Resonant Frequencymentioning

confidence: 59%

“…[1][2][3][4][5][6][7][8][9][10][11] Masses in the range of picograms and femtograms have been detected using these devices, with projected detection limits on the order of attograms. [11][12][13] While dynamically driven microcantilever chemical sensors are well suited for gas-phase detection, [1][2][3][5][6][7][8][9][10][11][14][15][16][17][18][19][20][21] their usefulness as a sensing platform is limited when operating in viscous liquid media. 7,[22][23][24][25][26][27][28][29] Due to the additional fluid resistance (combined effects of fluidrelated inertial and viscous forces), the beam's resonant frequency, f res , and quality factor, Q, will drastically decrease when the operating medium is changed from air to liquid; 22,28,[30][31][32] these decreases are due to the increases in the f...…”

Section: Introductionmentioning

confidence: 99%

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Characteristics of laterally vibrating resonant microcantilevers in viscous liquid media

Cox

Josse

Heinrich

et al. 2012

Journal of Applied Physics

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The characteristics of microcantilevers vibrating laterally in viscous liquid media are investigated and compared to those of similar microcantilevers vibrating in the out-of-plane direction. The hydrodynamic loading on the vibrating beam is first determined using a numerical model. A semi-analytical expression for the hydrodynamic forces in terms of the Reynolds number and the aspect ratio (beam thickness over beam width) is obtained by introducing a correction factor to Stokes' solution for a vibrating plate of infinite area to account for the effects of the thickness. The results enable the effects of fluid damping and effective fluid mass on the resonant frequency and the quality factor (Q) to be investigated as a function of both the beam's geometry and liquid medium's properties and compared to experimentally determined values given in the literature. The resonant frequency and Q are found to be higher for laterally vibrating microcantilevers compared to those of similar geometry experiencing transverse (out-of-plane) vibration. Compared to transversely vibrating beams, the resonant frequency of laterally vibrating beams is shown to decrease at a slower rate (with respect to changes in viscosity) in media having higher viscosities than water. The theoretical results are compared to experimental data obtained for cantilevers completely immersed in solutions of varying aqueous percent glycerol. The increases in resonant frequency and Q are expected to yield much lower limits of detection in liquid-phase chemical sensing applications.

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Section: B Resonant Frequencymentioning

confidence: 59%

Section: Introductionmentioning

confidence: 99%

Characteristics of laterally vibrating resonant microcantilevers in viscous liquid media

Cox

Josse

Heinrich

et al. 2012

Journal of Applied Physics

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“…[103] First, every single detector reacts to the presence of the odor and the interaction of the components is not linear. Second, the use of ANNs to differentiate among the vapors to some extent mimics the highly efficient strategy of odor discrimination in the biological olfactory system.…”

Section: Nanotechnology For Biology and Medical Applicationsmentioning

confidence: 99%

Artificial intelligence in nanotechnology

Sacha

Varona

2013

Nanotechnology

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Esta es la versión de autor del artículo publicado en: This is an author produced version of a paper published in: AbstractDuring the last decade there has been an increasing use of artificial intelligence tools in nanotechnology research. In this paper we review some of these efforts in the context of interpreting scanning probe microscopy, the study of biological nanosystems, the classification of material properties at the nanoscale, theoretical approaches and simulations in nanoscience, and generally in the design of nanodevices. Current trends and future perspectives in the development of nanocomputing hardware that can boost artificial intelligence based applications are also discussed.Convergence between artificial intelligence and nanotechnology can shape the path for many technological developments in the field of information sciences that will rely on new computer architectures and data representations, hybrid technologies that use biological entities and nanotechnological devices, bioengineering, neuroscience and a large variety of related disciplines.2

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“…Our electronic nose approach, using microcantilever sensor array and an artificial neural network for estimation of the concentrations, was initially reported in [5]. This paper further investigates the algorithmic aspects of the training and estimation phases, since the goal is to produce a reliable hand-held device which, necessarily, is constrained in processing and memory resources.…”

Section: Introductionmentioning

confidence: 99%

Estimating gas concentration using a microcantilever-based electronic nose

Leis

Zhao

Pinnaduwage

et al. 2010

Digital Signal Processing

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This paper investigates the determination of the concentration of a chemical vapor as a function of several nonspecific microcantilever array sensors. The nerve agent dimethyl methyl phosphonate (DMMP) in parts-per-billion concentrations in binary and ternary mixtures is able to be resolved when present in a mixture containing parts-per-million concentrations of water and ethanol. The goal is to not only detect the presence of DMMP, but additionally to map the nonspecific output of the sensor array onto a concentration scale. We investigate both linear and nonlinear approaches -the linear approach uses a separate least-squares model for each component, and a nonlinear approach which estimates the component concentrations in parallel. Application of both models to experimental data indicate that both models are able to produce bounded estimates of concentration, but that the outlier performance favors the linear model. The linear model is better suited to portable handheld analyzer, where processing and memory resources are constrained.

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Quantitative analysis of ternary vapor mixtures using a microcantilever-based electronic nose

Cited by 16 publications

References 21 publications

Characteristics of laterally vibrating resonant microcantilevers in viscous liquid media

Characteristics of laterally vibrating resonant microcantilevers in viscous liquid media

Artificial intelligence in nanotechnology

Estimating gas concentration using a microcantilever-based electronic nose

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