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A novel capacitive mass sensor using an open-loop controlled microcantilever

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Abstract

This article presents a method for quantitative estimation of the mass of an entity attached to the surface of an electrostatically actuated clamped-free microbeam implemented as a mass sensor. For this investigation, the microbeam is modeled as a Euler–Bernoulli beam taking into account the effects of electrostatic nonlinearity, viscous energy dissipation together with the effect of the fringing field capacitance. A modal superposition technique is used to simulate the dynamic response of the microcantilever. The dynamic pull-in voltage of microcantilever is evaluated using a developed modal. The present dynamic pull-in voltage results are compared with the existing results and on the basis of comparison, the accuracy of the developed model is ascertained. For mass quantification, firstly, an input shaping technique is employed to stabilize the microbeam at the specified position and then voltage perturbation is induced to make the system sensitive to inertial change. A parasitic mass expressed as a fraction of the total mass of the beam is then added resulting in an increase in the amplitude of vibration and hence an alteration in the capacitance. An empirical relation between the added mass and the change in capacitance is proposed.

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References

  • Aluru NR (1999) A reproducing kernel particle method for meshless analysis of microelectromechanical systems. Comput Mech 23(4):324–338

    MATH  Google Scholar 

  • Bargatin I, Kozinsky I, Roukes ML (2007) Efficient electrothermal actuation of multiple modes of high-frequency nanoelectromechanical resonators. Appl Phys Lett 90(9):093116

    Google Scholar 

  • Beardslee LA, Addous AM, Heinrich S, Josse F, Dufour I, Brand O (2010) Thermal excitation and piezoresistive detection of cantilever in-plane resonance modes for sensing applications. J Microelectromech Syst 19(4):1015–1017

    Google Scholar 

  • Bedair SS, Fedder GK (2009) Picogram material dosing of microstructures. J Appl Phys 106(10):104913

    Google Scholar 

  • Borovic B, Liu AQ, Popa D, Cai H, Lewis FL (2005) Open-loop versus closed-loop control of mems devices: choices and issues. J Micromech Microeng 15(10):1917

    Google Scholar 

  • Bouchaala A, Nayfeh AH, Jaber N, Younis MI (2016a) Mass and position determination in mems mass sensors: a theoretical and an experimental investigation. J Micromech Microeng 26(10):105009

    Google Scholar 

  • Bouchaala A, Nayfeh AH, Younis MI (2016b) Frequency shifts of micro and nano cantilever beam resonators due to added masses. J Dyn Syst Meas Control 138(9):091002

    Google Scholar 

  • Burg TP, Mirza AR, Milovic N, Tsau CH, Popescu GA, Foster JS, Manalis SR (2006) Vacuum-packaged suspended microchannel resonant mass sensor for biomolecular detection. J Microelectromech Syst 15(6):1466–1476

    Google Scholar 

  • Chaterjee S, Pohit G (2009) A large deflection model for the pull-in analysis of electrostatically actuated microcantilever beams. J Sound Vib 322(4–5):969–986

    Google Scholar 

  • Craighead H (2007) Nanomechanical systems: measuring more than mass. Nat Nanotechnol 2(1):18

    Google Scholar 

  • Dai MD, Eom K, Kim C-W (2009) Nanomechanical mass detection using nonlinear oscillations. Appl Phys Lett 95(20):203104

    Google Scholar 

  • De SK, Aluru NR (2004) Full-Lagrangian schemes for dynamic analysis of electrostatic mems. J Microelectromech Syst 13(5):737–758

    Google Scholar 

  • Dohn S, Svendsen W, Boisen A, Hansen O (2007) Mass and position determination of attached particles on cantilever based mass sensors. Rev Sci Instrum 78(10):103303

    Google Scholar 

  • Durieu F, Bruls O, Rochus V, Serandour G, Golinval JC (2008) Reduced order modeling of electrostatically actuated microbeams. In: Proceedings of the 6th EUROMECH nonlinear dynamics conference (ENOC), pp 1–6

  • Erturk A, Inman DJ (2011) Piezoelectric energy harvesting. Wiley, Hoboken

    Google Scholar 

  • Godara RK, Joglekar MM (2015) Mitigation of residual oscillations in electrostatically actuated microbeams using a command-shaping approach. J Micromech Microeng 25(11):115028

    Google Scholar 

  • Godara RK, Joglekar MM (2016) Mitigation of contact bounces in electrostatically actuated nonprismatic microbeams. Micro Nanosyst 8(2):99–113

    Google Scholar 

  • Godara RK, Joglekar MM (2017) Alleviation of residual oscillations in electrostatically actuated variable-width microbeams using a feedforward control strategy. Microsyst Technol 23(10):4441–4457

    Google Scholar 

  • Godara RK, Joglekar MM (2018) Suppression of contact bounce in beam-type microelectromechanical switches using a feedforward control scheme. J Vib Control 24(23):5502–5513

    MathSciNet  Google Scholar 

  • Greenberg MD (1998) Advanced engineering mathematics. Prentice-Hall, New Jersy

    MATH  Google Scholar 

  • Gupta A, Akin D, Bashir R (2004a) Single virus particle mass detection using microresonators with nanoscale thickness. Appl Phys Lett 84(11):1976–1978. https://doi.org/10.1063/1.1667011

    Article  Google Scholar 

  • Gupta A, Akin D, Bashir R (2004b) Single virus particle mass detection using microresonators with nanoscale thickness. Appl Phys Lett 84(11):1976–1978

    Google Scholar 

  • Gupta A, Akin D, Bashir R (2004c) Detection of bacterial cells and antibodies using surface micromachined thin silicon cantilever resonators. J Vac Sci Technol B: Microelectron Nanometer Struct Process, Meas, Phenom 22(6):2785–2791

    Google Scholar 

  • Hanay M, Kelber S, Naik AK, Chi D, Hentz S, Bullard EC, Colinet E, Duraffourg L, Roukes ML (2012) Single-protein nanomechanical mass spectrometry in real time. Nat Nanotechnol 7(9):602

    Google Scholar 

  • Ilic B, Craighead HG, Krylov S, Senaratne W, Ober C, Neuzil P (2004) Attogram detection using nanoelectromechanical oscillators. J Appl Phys 95(7):3694–3703

    Google Scholar 

  • Jensen K, Kim K, Zettl A (2008) An atomic-resolution nanomechanical mass sensor. Nat Nanotechnol 3(9):533

    Google Scholar 

  • Joglekar MM, Pawaskar DN (2011) Closed-form empirical relations to predict the dynamic pull-in parameters of electrostatically actuated tapered microcantilevers. J Micromech Microeng 21(10):105014

    Google Scholar 

  • Johnson BN, Mutharasan R (2012) Biosensing using dynamic-mode cantilever sensors: a review. Biosens Bioelectron 32(1):1–18

    Google Scholar 

  • Khater ME, Vummidi K, Abdel-Rahman EM, Nayfeh AH, Raman S (2011) Dynamic actuation methods for capacitive mems shunt switches. J Micromech Microeng 21(3):035009

    Google Scholar 

  • Kim D, Hong S, Jang J, Park J (2013) Simultaneous determination of position and mass in the cantilever sensor using transfer function method. Appl Phys Lett 103(3):033108

    Google Scholar 

  • Kouravand S (2011) Design and modeling of some sensing and actuating mechanisms for mems applications. Appl Math Model 35(10):5173–5181

    MATH  Google Scholar 

  • Kumar V, Boley JW, Yang Y, Ekowaluyo H, Miller JK, Chiu GT-C, Rhoads JF (2011) Bifurcation-based mass sensing using piezoelectrically-actuated microcantilevers. Appl Phys Lett 98(15):153510

    Google Scholar 

  • Li H, Wang QX, Lam KY (2004) A variation of local point interpolation method (vlpim) for analysis of microelectromechanical systems (mems) device. Eng Anal Bound Elem 28(10):1261–1270

    MATH  Google Scholar 

  • Li Y, Meguid SA, Fu Y, Xu D (2013) Unified nonlinear quasistatic and dynamic analysis of rf-mems switches. Acta Mech 224(8):1741–1755

    MathSciNet  MATH  Google Scholar 

  • Lochon F, Dufour I, Rebiere D (2005) An alternative solution to improve sensitivity of resonant microcantilever chemical sensors: comparison between using high-order modes and reducing dimensions. Sens Actuators B: Chem 108(1–2):979–985

    Google Scholar 

  • Maraldo D, Mutharasan R (2010) Mass-change sensitivity of high-order mode of piezoelectric-excited millimeter-sized cantilever (pemc) sensors: theory and experiments. Sens Actuators B: Chem 143(2):731–739

    Google Scholar 

  • Meirovitch L (2010) Fundamentals of vibrations. Waveland Press, Long Grove

    Google Scholar 

  • Olcum S, Cermak N, Wasserman SC, Manalis SR (2015) High-speed multiple-mode mass-sensing resolves dynamic nanoscale mass distributions. Nat Commun 6:7070

    Google Scholar 

  • Rhoads JF, Shaw SW, Turner KL (2009) Nonlinear dynamics and its applications in micro-and nanoresonators. In: ASME 2008 dynamic systems and control conference, pp 1509–1538, American Society of Mechanical Engineers Digital Collection

  • Rhoads JF, Shaw SW, Turner KL (2010) Nonlinear dynamics and its applications in micro-and nanoresonators. J Dyn Syst Meas Control 132(3):034001

    Google Scholar 

  • Schmid S, Dohn S, Boisen A (2010) Real-time particle mass spectrometry based on resonant micro strings. Sensors 10(9):8092–8100

    Google Scholar 

  • Sharma AK (2020) Design of a command-shaping scheme for mitigating residual vibrations in dielectric elastomer actuators. J Appl Mech 87(2):021007

    Google Scholar 

  • Sharma AK, Godara RK, Joglekar MM (2019) Static and dc dynamic pull-in analysis of curled microcantilevers with a compliant support. Microsyst Technol 25(3):965–975

    Google Scholar 

  • Tang WC, Nguyen T-CH, Howe RT (1989) Laterally driven polysilicon resonant microstructures. Sens Actuators 20(1–2):25–32

    Google Scholar 

  • Waggoner PS, Craighead HG (2007) Micro-and nanomechanical sensors for environmental, chemical, and biological detection. Lab Chip 7(10):1238–1255

    Google Scholar 

  • Yang Y-T, Callegari C, Feng XL, Ekinci KL, Roukes ML (2006) Zeptogram-scale nanomechanical mass sensing. Nano Lett 6(4):583–586

    Google Scholar 

  • Younis MI (2011) MEMS linear and nonlinear statics and dynamics, vol 20. Springer, Berlin

    Google Scholar 

  • Younis MI, Alsaleem F (2009) Exploration of new concepts for mass detection in electrostatically-actuated structures based on nonlinear phenomena. J Comput Nonlinear Dyn 4(2):021010

    Google Scholar 

  • Younis MI, Abdel-Rahman EM, Nayfeh A (2003) A reduced-order model for electrically actuated microbeam-based mems. J Microelectromech Syst 12(5):672–680

    Google Scholar 

  • Zhang W, Turner KL (2005) Application of parametric resonance amplification in a single-crystal silicon micro-oscillator based mass sensor. Sens Actuators, A 122(1):23–30

    Google Scholar 

Download references

Acknowledgements

The authors are grateful to the reviewers for their insightful comments.

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Correspondence to R K Godara.

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Appendix

Appendix

The following analytical modal analysis is given for the linear transverse vibrations of an undamped Euler–Bernoulli beam with clamped–free boundary conditions and a tip mass rigidly attached at the free end.

1.1 Boundary value problem

The governing equation of motion for undamped free vibrations of a uniform Euler–Bernoulli beam can be obtained as (Meirovitch 2010)

$$\begin{aligned} \hat{E}\hat{I}\frac{{{\partial ^4}\hat{w}(\hat{x},\hat{t})}}{{\partial {{\hat{x}}^4}}} + \hat{\rho }\hat{b}\hat{h}\frac{{{\partial ^2}\hat{w}(\hat{x},\hat{t})}}{{\partial {{\hat{t}}^2}}} = 0. \end{aligned}$$
(A.1)

The clamped–free boundary conditions with a tip mass attachment can be expressed as

$$\begin{aligned} \begin{array}{l} \displaystyle {\left. {\hat{w}} \right| _{\left( {0,\hat{t}} \right) }} = 0,\qquad {\left. {\frac{{\partial \hat{w}}}{{\partial \hat{x}}}} \right| _{(0,\hat{t})}} = 0, \displaystyle \\ {\left. {\hat{E}\hat{I}\frac{{{\partial ^2}\hat{w}}}{{\partial {{\hat{x}}^2}}}} \right| _{(\hat{L},\hat{t})}} = 0, \qquad {\left. {\hat{E}\hat{I}\frac{{{\partial ^3}\hat{w}}}{{\partial {{\hat{x}}^3}}} - {{\hat{M}}_a}\frac{{{\partial ^2}\hat{w}}}{{\partial {{\hat{t}}^2}}}} \right| _{\left( {\hat{L},\hat{t}} \right) }} = 0. \end{array} \end{aligned}$$
(A.2)

Equations A.1A.2 define the boundary-value problem for the transverse vibrations of a cantilevered uniform Euler–Bernoulli beam with a tip mass attachment.

1.2 Solution using the method of separation of variables

The method of separation of variables (Greenberg 1998) can be used to solve Eq. A.1 by separating the spatial and temporal functions as

$$\begin{aligned} \hat{w}(\hat{x},\hat{t}) = \phi (\hat{x})\eta (\hat{t}), \end{aligned}$$
(A.3)

substitution of Eq. A.3 into Eq. A.1, yields

$$\begin{aligned} \frac{{\hat{E}\hat{I}}}{{\hat{\rho }\hat{b}\hat{h}}}\frac{1}{{\phi \left( {\hat{x}} \right) }}\frac{{{d^4}\phi \left( {\hat{x}} \right) }}{{d{{\hat{x}}^4}}} = - \frac{1}{{\eta \left( {\hat{t}} \right) }}\frac{{{d^2}\eta \left( {\hat{t}} \right) }}{{d{{\hat{t}}^2}}}. \end{aligned}$$
(A.4)

The left side of the Eq. A.4 relies on \(\hat{x}\) alone, while the right side is based on \(\hat{t}\) alone. Since \(\hat{x}\) and \(\hat{t}\) are independent variables, the traditional reason for the separation of variables states that both sides of the Eq. A.4 must be equal to the same constant:

$$\begin{aligned} \frac{{\hat{E}\hat{I}}}{{\hat{\rho }\hat{b}\hat{h}}}\frac{1}{{\phi \left( {\hat{x}} \right) }}\frac{{{d^4}\phi \left( {\hat{x}} \right) }}{{d{{\hat{x}}^4}}} = - \frac{1}{{\eta \left( {\hat{t}} \right) }}\frac{{{d^2}\eta \left( {\hat{t}} \right) }}{{d{{\hat{t}}^2}}} = \gamma \end{aligned}$$
(A.5)

yielding

$$\begin{aligned}&\frac{{{d^4}\phi \left( {\hat{x}} \right) }}{{d{{\hat{x}}^4}}} - \gamma \frac{{\hat{\rho }\hat{b}\hat{h}}}{{\hat{E}\hat{I}}}\phi \left( {\hat{x}} \right) = 0. \end{aligned}$$
(A.6)
$$\begin{aligned}&\frac{{{d^2}\eta \left( {\hat{t}} \right) }}{{d{{\hat{t}}^2}}} + \gamma \eta \left( {\hat{t}} \right) = 0. \end{aligned}$$
(A.7)

The positive constant \(\gamma \) can be represented as the square of another constant: \(\gamma =\omega ^2\). The solution forms of Eqs. A.6, and A.7 are then

$$\begin{aligned}&\phi \left( {\hat{x}} \right) = A\cos \left( {\frac{\lambda }{{\hat{L}}}\hat{x}} \right) + B\cosh \left( {\frac{\lambda }{{\hat{L}}}\hat{x}} \right) + C\sin \left( {\frac{\lambda }{{\hat{L}}}\hat{x}} \right) \\&\qquad + D\sinh \left( {\frac{\lambda }{{\hat{L}}}\hat{x}} \right) \end{aligned}$$
(A.8)
$$\begin{aligned}&\eta \left( {\hat{t}} \right) = E\cos \omega \hat{t} + F\sin \omega \hat{t} \end{aligned}$$
(A.9)

where A, B, C, D, E, and F are unknown constants and

$$\begin{aligned} {\lambda ^4} = {\omega ^2}\frac{{\hat{\rho }\hat{b}\hat{h}{{\hat{L}}^4}}}{{\hat{E}\hat{I}}} \end{aligned}$$
(A.10)

Equation A.3 can be employed in Eq. A.2 to obtain following boundary conditions

$$\begin{aligned}&\phi (0) = 0,\qquad {\left. {\frac{{d{\phi _i}(\hat{x})}}{{d\hat{x}}}} \right| _{\hat{x} = o}} = 0 \end{aligned}$$
(A.11)
$$\begin{aligned}&{\left. {\hat{E}\hat{I}\frac{{{d^2}{\phi _i}(\hat{x})}}{{d{{\hat{x}}^2}}}} \right| _{\hat{x} = \hat{L}}} = 0, \\&\qquad {\left. {\left[ {\hat{E}\hat{I}\frac{{{d^3}{\phi _i}(\hat{x})}}{{d{{\hat{x}}^3}}} + {\omega ^2}{{\hat{M}}_a}{\phi _i}(\hat{x})} \right] } \right| _{\hat{x} = \hat{L}}} = 0 \end{aligned}$$
(A.12)

The spatial form of boundary conditions, Eqs. A.11 and A.12, should then be employed to find the values of \(\lambda \) which give the non-trivial \({\phi _i}(\hat{x})\). This process is referred to as the differential eigenvalue problem and is next covered.

1.3 Differential Eigenvalue problem

Substituting Eq. A.8 in Eq. A.11 yields

$$\begin{aligned} A + B&= {} 0 \end{aligned}$$
(A.13)
$$\begin{aligned} C + D&= 0 \end{aligned}$$
(A.14)

Equation A.8 then becomes

$$\begin{aligned} \phi \left( {\hat{x}} \right)&= A\left[ {\cos \left( {\frac{\lambda }{{\hat{L}}}\hat{x}} \right) - \cosh \left( {\frac{\lambda }{{\hat{L}}}\hat{x}} \right) } \right] \\&+ C\left[ {\sin \left( {\frac{\lambda }{{\hat{L}}}\hat{x}} \right) - \sinh \left( {\frac{\lambda }{{\hat{L}}}\hat{x}} \right) } \right] \end{aligned}$$
(A.15)

Hence the unknown constants are A and C only. Using Eq. A.15 in the remaining two boundary conditions given by Eq. A.12 gives

$$\begin{aligned} \left[ {\begin{array}{*{20}{c}} {\cos \lambda + \cosh \lambda }&{\sin \lambda + \sinh \lambda }\\ {\sin \lambda - \sinh \lambda + \frac{{\lambda {{\hat{M}}_a}}}{{\hat{\rho }\hat{b}\hat{h}\hat{L}}}(\cos \lambda - \cosh \lambda )}&{ - \cos \lambda - \cosh \lambda + \frac{{\lambda {{\hat{M}}_a}}}{{\hat{\rho }\hat{b}\hat{h}\hat{L}}}(\sin \lambda - \sinh \lambda )} \end{array}} \right] \left\{ {\begin{array}{*{20}{c}} A\\ C \end{array}} \right\} = \left\{ {\begin{array}{*{20}{c}} 0\\ 0 \end{array}} \right\} \end{aligned}$$
(A.16)

The coefficient matrix in Eq. A.16 has to be singular in order to obtain non-trivial values of A and C (hence non-trivial \({\phi _i}(\hat{x})\)). Setting the determinant of the above coefficient matrix gives the characteristic equation of the differential eigenvalue problem as

$$\begin{aligned} 1 + \cos \lambda \cosh \lambda + \lambda \frac{{{{\hat{M}}_a}}}{{\hat{\rho }\hat{b}\hat{h}\hat{L}}}(\cos \lambda \sinh \lambda - \sin \lambda \cosh \lambda ) = 0 \end{aligned}$$
(A.17)

For the given system parameters \(\hat{\rho }\), \(\hat{b}\), \(\hat{h}\), \(\hat{L}\), and \(\hat{M}_a\), one can solve for the roots of Eq. A.17, which are the eigenvalues of the system. The eigenvalue of the \(i^th\) vibration mode is denoted here as \(\lambda _i\), and it is associated with the \(i^th\) eigenfunction denoted by \({\phi _i}(\hat{x}) \) is obtained using second row of Eq. A.16 in Eq. A.15 to keep only a single modal constant

$$\begin{aligned} {\phi _i}\left( {\hat{x}} \right)&= A_i\left[ \left( {\cos \left( {\frac{{{\lambda _i}}}{{\hat{L}}}\hat{x}} \right) - \cosh \left( {\frac{{{\lambda _i}}}{{\hat{L}}}\hat{x}} \right) } \right) \right. \\&\left. + \left( \frac{{\sin {\lambda _i} - \sinh {\lambda _i} + {\lambda _i}\frac{{{{\hat{M}}_a}}}{{\hat{\rho }\hat{b}\hat{h}\hat{L}}}(\cos {\lambda _i} - \cosh {\lambda _i})}}{\cos {\lambda _i} + \cosh {\lambda _i} - {\lambda _i}\frac{{{{\hat{M}}_a}}}{{\hat{\rho }\hat{b}\hat{h}\hat{L}}}(\sin {\lambda _i} - \sinh {\lambda _i})} \right) \left( \sin \left( {\frac{{{\lambda _i}}}{{\hat{L}}}\hat{x}} \right) \right. \right. \\&\left. \left. - \sinh \left( {\frac{{{\lambda _i}}}{{\hat{L}}}\hat{x}} \right) \right) \right] \end{aligned}$$
(A.18)

Using Eq. into Eq. A.18, the nondimensional form of Eq. A.18 is obtained as

$$\begin{aligned} {\phi _i}\left( x \right)&= {A_i}\left[ \left( {\cos \left( {{\lambda _i}x} \right) - \cosh \left( {{\lambda _i}x} \right) } \right) \right. \\&\left. + \left( {\frac{{\sin {\lambda _i} - \sinh {\lambda _i} + {\lambda _i}\kappa (\cos {\lambda _i} - \cosh {\lambda _i})}}{{\cos {\lambda _i} + \cosh {\lambda _i} - {\lambda _i}\kappa (\sin {\lambda _i} - \sinh {\lambda _i})}}} \right) \left( \sin \left( {{\lambda _i}x} \right) \right. \right. \\&\left. \left. - \sinh \left( {{\lambda _i}x} \right) \right) \right] \end{aligned}$$
(A.19)

On defining a new constant \(\beta _i\) as

$$\begin{aligned} {\beta _i} = \frac{{\sin {\lambda _i} - \sinh {\lambda _i} + {\lambda _i}\kappa (\cos {\lambda _i} - \cosh {\lambda _i})}}{{\cos {\lambda _i} + \cosh {\lambda _i} - {\lambda _i}\kappa (\sin {\lambda _i} - \sinh {\lambda _i})}}, \end{aligned}$$
(A.20)

Eq. A.20 is written as

$$\begin{aligned} {\phi _i}\left( x \right)&= {A_i}[ \left( {\cos \left( {{\lambda _i}x} \right) - \cosh \left( {{\lambda _i}x} \right) } \right) \\&+ {\beta _i}\left( {\sin \left( {{\lambda _i}x} \right) - \sinh \left( {{\lambda _i}x} \right) } \right) ]. \end{aligned}$$
(A.21)

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Godara, R.K., Sharma, A.K., Joshi, N. et al. A novel capacitive mass sensor using an open-loop controlled microcantilever. Microsyst Technol 26, 2977–2987 (2020). https://doi.org/10.1007/s00542-020-04850-5

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