15
It can be known from Equation (1-12) that the rotational torque is related to the imaginary
part of the K
CM
coecient, to the composite permittivity of the solution and particle and the electrical
signal parameter. e positive and negative parts of Im[K
CM
] determine the direction of the DEP
torque. When the sign changes, the direction of the torque acting on the particles also changes.
1.3.2 DEP PARAMETER ANALYSIS
From Equations (1-10) and (1-12), it is known that DEP force and torque are related to size, elec-
trical parameters of particle, electrical parameters of solution, and electric eld.
a. DEP force is related to the non-uniformity of the electric eld, and the particles
are subjected to DEP force only in a non-uniform electric eld.
b. DEP force is related to the particle size. e larger the particle, the greater the
DEP force.
c. e direction of DEP force is related to the real part of K
CM
factor. When
Re[K
CM
]> 0, the DEP force is positive, that is, pDEP force, and the particle will
move to the region with a large electric eld gradient, when Re[K
CM
] < 0. e
DEP force is negative, that is, the nDEP force, and the particle will move to a
region with a small electric eld gradient.
d. e DEP torque is related to the non-uniformity of the applied electric eld; the
particle is subjected to DEP torque only in a rotational electric eld.
e. e strength of DEP torque is related to the particle size. e larger the particle,
the larger DEP torque.
f. e direction of DEP torque is determined by the imaginary part of the K
CM
fac-
tor. When the value of Im[K
CM
] changes positively and negatively, the direction
of rotation of the particle changes.
1.3.3 ADVANCES IN DEPBASED SINGLECELL MANIPULATION
With the development of MEMS technology, the application range of DEP technology has been
extensively expanded. Researchers have proposed various types of DEP microuidic chips that
can be applied to biological objects of dierent scales, ranging from manipulation of DNA [104],
viruses [105], bacteria [106, 107], cells [108, 109], particles [110], and even model organisms.
Single-cell analysis is important for life sciences, clinical diagnosis, and drug evaluation [125,
126]. Traditional cell analysis methods collect the response of cell populations and can’t accurately
detect the information of individual cells. Biologists have conrmed that even mutated genes car-
ried by CTCs derived from the same tumor are dierent [127]. In addition, a small number of cells
1.3 DEP MICRODLUIDIC CHIPS