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Cite this: Analyst, 2012, 137, 2381
www.rsc.org/analyst PAPER
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View Article Online / Journal Homepage / Table of Contents for this issue
Fast measurement of binding kinetics with dual slope SPR microchips
Tridib Ghosha and Carlos H. Mastrangeloab
Received 10th January 2012, Accepted 7th March 2012
DOI: 10.1039/c2an35045a
We demonstrate a new dual slope SPR technique that is ten-fold faster than the conventional step-
response method. The new scheme utilizes rapid slope-based measurements followed by rapid reset, and
it separates association and dissociation half reaction measurements at two separate sites inside a dual-
chamber PDMSmicrofluidic chip. For a model CAII-ABS test system, the association and dissociation
slopes were measured in 30 seconds compared to 5 minutes for step-response. The values of ka and kdcalculated from the slope method are 3.66� 0.19� 103 M�1 s�1 and 4.83� 0.17� 10�2 s�1, respectively,
matching well with step-response values while facilitating �10 to 15 fold faster detection and
quantification.
Introduction
Surface Plasmon Resonance (SPR) has formed the basis for
real-time label-free detection of bio-interactions for the last
twenty years. In the conventional SPR step response method
a functionalized surface is subject to a single association and
a single dissociation step producing a sensorgram.1–4 The
observed experimental response is then fitted to a model expo-
nential response in order to obtain the characteristic association
and dissociation kinetic constants.5,6 Single-pulse sensorgrams
have two characteristics that make the determination of the
kinetic constants intrinsically slow: (1) the sensorgram must
achieve steady state for both association and dissociation steps
and (2) the two reactions are sequential. The development of
faster detection schemes is an important area of research as SPR
is presently being considered as a candidate label-free technology
for high-throughput drug screening.
In this paper we demonstrate a new dual slope SPR technique
that provides a faster means for the measurement of the reaction
kinetics. The new scheme utilizes rapid slope-based measure-
ments followed by rapid reset, and it separates association and
dissociation half reaction measurements at two separate sites
within a PDMS microfluidic chip.
The dual-slope method
Bio-interactions involving well behaved macromolecules follow
a simple reversible bimolecular Langmuirian equation7 given by
Aþ B �����!kon
���koff
AB (1)
aDepartment of Bioengineering, University of Utah, Salt Lake City, UT,USA. E-mail: [email protected] of Electrical and Computer Engineering, University of Utah,Salt Lake City, UT, USA. E-mail: [email protected]
This journal is ª The Royal Society of Chemistry 2012
where A, B and AB are analyte, ligand and formed complex,
respectively. The rate of formation of the complex AB as
a function of time t subject to a step change of analyte concen-
tration [A] can be written as
d½AB�dt¼ kon½A�½B� � koff ½AB� (2)
Analytical integration of this rate equation yields a piecewise
exponential solution.6 The SPR sensorgram specified by the
imager intensity I(t) is proportional to the bound complex
concentration by a factor GSPR. In the association cycle then
IAðtÞ ¼ GSPR
�kon½A�½Bo�
kon½A� þ koff
��1� e�ðkon ½A�þkoffÞt
�(3)
where [A] is the analyte concentration and [B0] is the maximum
surface concentration of active ligand. Similarly, for the disso-
ciation phase subject to buffer flow, the sensorgram intensity is
IDðtÞ ¼ GSPR½ABd�e�koff t (4)
where [ABd] is the concentration of bound complex AB imme-
diately before dissociation. In the conventional step response
method, eqn (3) and (4) are fitted to the experimental sensorgram
to determine kon and koff. This sometimes requires reaching
equilibrium in both association and dissociation cycles and
a correspondingly long measurement cycle.
The kon and koff information however can be obtained in
a much shorter time from the association and dissociation initial
slopes as follows. Differentiating eqn (3) with respect to time
gives
SA ¼ limt/0
dIAðtÞdt
¼ GSPRkon½A�½Bo� ¼ KSPRkon½A� (5)
where SA is the associative slope. At a given flow rate, the
associative slope is proportional to the analyte concentration.
Similarly from eqn (4), subsequent differentiation yields
Analyst, 2012, 137, 2381–2385 | 2381
Fig. 1 Basic principle used in the new fast dual-slope SPR technique.
Two identical functionalized sites are exposed to different sequences of
analyte, buffer, pre-dissociation rapid equilibrium and regeneration
solutions. The association and dissociation constants are obtained from
the two decoupled slopes SA and SD, and the equilibrium sensorgram
intensity level IRE.
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SD ¼ limt/0
dIDðtÞdt
¼ �GSPRkoff ½ABd� (6)
with SD being the dissociative slope. In order to extract kon and
koff from (5) and (6), we need to eliminate the constant terms.
This can be done by deliberately reacting the species to equilib-
rium prior to the dissociation phase. Since a high analyte
concentration ensures rapid surface saturation, we can use a high
analyte concentration [ARE] to achieve a rapid complex equi-
librium level [ABRE] with corresponding SPR intensity IRE:
IRE ¼ GSPR½ABRE� ¼ KSPRkon½ARE�kon½ARE� þ koff
(7)
Rearranging the terms in eqn (7), (8) and (9) we can eliminate
GSPR and KSPR. Since [A] and [ARE] are both known, and IRE is
extracted from the sensorgram, kon and koff can then be written as
koff ¼ � SD
IRE
(8)
and
kon ¼ SA½ARE� þ SD½A�IRE½ARE�½A� (9)
Therefore the kinetic constants can be determined from
a measurement of the association slope with analyte concentra-
tion [A] and a second measurement of the dissociation slope with
pre-dissociation equilibrium achieved with analyte concentration
[ARE]. It should be noted that similar to a single cycle of
association and dissociation in a conventional step response
cycle, the dual slope technique estimates a single set of kon and
koff for one set of [A] and [ARE].
In this work, the association and dissociation slopes are
determined from measurements at two identical but separate
functionalized surface sites, thus producing two distinct sensor-
grams as shown in Fig. 1. The association site in the function-
alized surface is exposed to a brief positive association slope (SA)
measurement step by exposing the surface to analyte of
concentration [A], followed by a brief regeneration step and
subsequent short buffer wash. At the dissociation site, the surface
is exposed to a solution of high analyte concentration [ARE]
quickly producing pre-dissociation equilibrium level IRE.
For the analyte solution at the dissociation site, [ARE] [ [A]
in order to reach rapid equilibrium. The rapid equilibrium step is
followed by a brief negative dissociation slope (SD) measurement
in pure buffer. Both chemical excitation sequences are repeated
multiple times to produce measurements of progressively
improved quality.
The time required for the slope measurement is short, in the
order of few seconds; hence the process of detection and sensing
is fast. The minimum measurement time is limited only by the
amount of noise present in the system. Generally speaking
the slope measurement time is much less than that required by
the full step response. In this paper we demonstrate a measure-
ment realized ten-fold faster than the step response method.
Fig. 2 Schematic of a dual-slope SPR chip consisting of four SPR spots
and five microvalves.
Dual-slope SPR chip
In order to utilize the dual-slope technique we need to introduce
short flow cycles with steep chemical gradients. Such flow
2382 | Analyst, 2012, 137, 2381–2385
switching profiles can only be achieved in microfluidic environ-
ments15 which exhibit low dispersive mixing. Fig. 2 shows
a schematic of a dual-slope SPR chip. The experiments and data
acquisition are carried out in two separate dedicated chambers.
The association chamber performs the association half reaction
using two gold sensor spots (sensor + control) and three micro-
valves, each for the flow control of buffer, analyte and regener-
ation solutions. The dissociative chamber utilizes two gold spots
and two microvalves each of which control the flow of analyte
and regeneration solutions.
The dual-slope SPR scheme was implemented using
a conventional two-level PDMS microchip.4,8 Fig. 3 shows an
image of the fabricated PDMS chip. It consists of two separate
microfluidic chambers for associative and dissociative half
reactions, respectively, each of which is connected to three
This journal is ª The Royal Society of Chemistry 2012
Fig. 3 Photograph of dual-slope SPR microchip.
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pressure driven input sources controlled by separate microvalves
and two output channels. The two output channels in each
chamber are lined by gold sensor spots which record the sensor
and control sensorgrams, respectively.
Materials and methods
The slope technique was demonstrated using a model system of
Carbonic Anhydrase-II (CAII) analyte and immobilized 4-(2-
aminoethyl) benzenesulfonamide (ABS) ligand4,9 on amine
reactive PEG modified gold surface.
Reagents
Polyethylene glycol (PEG) compounds were purchased
from Laysan Bio. These include 5 kDa carboxymethyl-PEG-
thiol (cm-PEG) and 2 kDa methoxy-PEG-thiol (m-PEG).
N-Ethyl-N0-(3-dimethylaminopropyl) carbodiimide (EDC),
sulfo-N-hydroxysuccinimide (S-NHS) and phosphate buffered
saline (PBS) tablets were purchased from Thermo Scientific.
Carbonic anhydrase II (CA-II, Mw z 29 kDa), 10% sodium
dodecyl sulfate (SDS) and 4-(2-aminoethyl) benzenesulfonamide
(ABS) were purchased from Sigma-Aldrich. Sylgard 184 Poly-
dimethylsiloxane (PDMS) kit was purchased from Dow Chem-
icals. Deionized 18 MU water (DI water) was provided by the
University of Utah nanofab facility. SF10 Schott glass substrates
(2 � 2 sq. inch) were custom ordered from Schott.
Surface plasmon resonance
The sensorgram data are acquired using a manufacturer modi-
fied GWC Technologies SPRimager2 that accommodates our
chip. Additional modifications are reported elsewhere.4
Gold/glass substrate
SF10 glass substrates were cleaned with piranha (3 : 1,
H2SO4 : H2O2) solution for 10 min, rinsed in DI water for 10 min
and blow dried with N2 gas followed by baking at 80 �C in an
oven for 10 min. They are then transferred to a TM Vacuum
Sputtering machine and a 3 nm adhesion layer of Ti/W is
This journal is ª The Royal Society of Chemistry 2012
deposited followed by a 40 nm layer of gold. The metal is then
patterned using photolithography in the University of Utah
nanofab facility. The array of Au spots patterned using an AZ
1813 photoresist has dimensions of 200 � 200 mm2 and a thick-
ness of �43 � 2 nm. The metals are then etched away, glass
slides are cleaned with acetone and DI water to remove excess
photoresist, blow dried and finally stored in a vacuum desiccator
until being used.
Microfluidics
The dual-slope SPR microchip of Fig. 3 is fabricated stepwise
using two-level PDMS stamp process on patterned glass
substrate. The steps of fabrication are reported elsewhere.8
Briefly, Si molds for two separate layers are generated photo-
lithographically using photoresists (SU-8 and AZ 9260 for valve
and flow layers, respectively). PDMS is then poured over these
defined molds and cured overnight for 15 hours at 100 �C. Thepatterned PDMS chunks are then cleaned with acetone, baked at
100 �C on a hot plate for 10 min, and exposed to oxygen plasma
for 20 s at 400 mTorr pressure in a March Plasmod system.
The layers are aligned and bonded together using an in-house
alignment system. The same process is repeated for binding the
two-level PDMS chip to glass substrate with patterned gold
spots. Prior to binding of PDMS with glass substrate, it is
cleaned using a protocol in our previous reporting.4 All flow
channels have dimensions of 250 � 20 mm2. The microchip has
the final dimensions of 12 � 13 mm.
Gold spot functionalization
The bare gold surface is first modified with PEGs similar to our
previous paper and elsewhere.4,10 The surface modification using
PEGs is quite effective in reducing non-specific adsorption.
Briefly, gold spots inside the microchannels are first rinsed with
0.01 N HCl solution followed by PEGylation in PBS buffer
(50 mM phosphate, 1 M NaCl, pH 7.4) using cm-PEG. A short
underbrushed layer of m-PEG further minimizes the non-specific
adsorption. Excess PEG is removed by a short rinse of 50 mM
NaOH. This is followed by immobilization of ABS ligand using
standard amine-coupling procedure to form a two-dimensional
sensing surface. A solution of sulfo-NHS (0.1 M) and EDC
(0.4 M) is used to facilitate crosslinking of activated cm-PEG to
ABS. The control surface is blocked with ethanolamine (50 mM)
in PBS buffer (25 mM phosphate, pH 8.4 with 0.01% SDS) after
cm-PEG activation.
Experimental
The chip-on-substrate is placed onto a SPR mounting cell and
coupled to a prism using an index matching fluid (n ¼ 1.72). The
input sources are then connected to pressure driven fluid reser-
voirs using plastic tubing (0.01 inch diameter, Tygon�). Due to
gas permeable properties of PDMS, the valve control lines are
filled with water to displace air and are connected directly to
pressure sources. The input reservoirs contain PBS (10 mM
phosphate, pH 7.4) as a flow buffer, CA II as an analyte and
0.01% SDS as a regeneration solution, respectively. The fluid
flow and valve actuating pressures are 10 psi and 25 psi,
respectively. The reservoir pressure corresponds to a flow
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velocity of �8 cm s�1 in output channels which is sufficient to
overcome mass transport effects.4,9 The analyte samples are
prepared by dissolving dry CA II powder in PBS followed
by concentration measurement using a spectrophotometer
(GENSYS5, Thermo Scientific) at a wavelength of 280 nm.
Reported values of extinction coefficient (a280) for bovine CA II
range from 55300 to 57000 L mol�1 cm�1.11,12 The protein
concentration (C) is then given by the relation C (mol L�1) ¼A280/(a280 � b), where ‘A280’ is the value of absorbance at 280 nm
and ‘b’ being the optical path length (1 cm for the given
photometer). The high concentration analyte ([ARE]) solution is
first prepared followed by appropriate dilution using PBS to
make low concentration solution [A]. Two different concentra-
tion sets ([A] and [ARE]) were prepared and used in experiments
to calculate two sets of kon and koff. The analyte concentrations
used to record the conventional step-response sensorgrams were
used for associative half reactions on the same sensor surface.
Values of analyte concentration sets {[A],[ARE]} were
{1.63,54.4} and {3.4,56.67} mM, respectively. The lowest allow-
able concentration of [A] is dictated by the background noise of
the sensorgram, and the maximum concentration [ARE] was
selected as the saturation limit of protein concentration for our
spectrophotometer (GENSYS5, Thermo Scientific). The
sampling rate was �7.143 Hz for all data recordings. A Wasabi
camera control software integrated with EMCCD camera is used
for data acquisition and analysis. The sensorgram intensity I(t)
for sensing and reference spots (1160 pixels) for all data frames
were first retrieved using the in-built software followed by further
analysis using MATLAB. The SPR sensorgrams from the sensor
spots were subtracted from control spots to account for the RI
change due to the bulk effect and extract the signal changes from
the bio-interaction on the sensor surface. Prior to this subtrac-
tion, the baseline signal level at the point of solution injection in
all datasets is offset to zero in order to account for the fixed
imager intensity.
Results and discussion
In order to serve a basis for comparison we first ran a conven-
tional step-response curve of a functionalized spot within
a PDMS chip. Fig. 4 shows the step-response sensorgram for an
analyte concentration of 3.4 mM requiring 5 minutes of recording
time.
Fig. 4 Conventional SPR step-response. The sensorgram consists of one
association and one dissociation step (5 min for CAII-ABS).
2384 | Analyst, 2012, 137, 2381–2385
Next, using a dual-slope SPR chip, we tested the feasibility of
the new technique of parameter estimation using two different
sets of associative and dissociative analyte concentrations.
Fig. 5(a) shows a sensorgram of ten half reaction cycles at analyte
concentration of [A] ¼3.4 mM recorded from Au spots in asso-
ciation chamber indicating associative slope SA. The time periods
for analyte, buffer and regeneration flows are 10, 7 and 13
seconds, respectively.
The flow cycle periods were adjusted to be sufficiently long as
to achieve signal to noise ratios much greater than one; yet the
cycle times were much shorter than expected exponential asso-
ciation and dissociation time constants.
Fig. 5(b) shows a sensorgram of ten dissociative half reaction
cycles indicating dissociative slope SD for analyte concentration
of [ARE] ¼ 56.67 mM. While pre-dissociation saturation is
allowed for 17 s, the dissociation is carried out for 13 s using
buffer flow. The kinetic constants for conventional step response
were calculated first by exponential curve fitting of sensorgrams
using the method of least squares. The results are summarised in
Table 1. The rates reported were averaged over 10 cycles. The
rates are in good agreement with previously reported values.4
Fig. 5 Rapid multi-step measurement of association and dissociation
slopes for CAII-ABS. (a) For the association slope we use a three-step
buffer, analyte and regeneration solution cycle. The top trace is unre-
ferenced SPR trace and the bottom is referenced to a passivated spot. (b)
For the dissociation slope we use a two-step short rapid equilibrium and
dissociation cycle. The analyte concentrations [A] and [ARE] are 3.4 and
56.67 mM, respectively.
This journal is ª The Royal Society of Chemistry 2012
Table 1 Comparison of rate constants
Method
Analyteconcentration(mM)
Kineticon-ratekon (M
�1 s�1)
Kineticoff-ratekoff (s
�1)
Conventionalstep-response
1.63 4.75 � 0.42 � 103 4.81 � 0.15 � 10�2
3.4 8.68 � 0.35 � 103 4.76 � 0.20 � 10�2
Dual-slopemethod
[A] ¼ 1.63,[ARE] ¼ 54.4
3.66 � 0.19 � 103 4.83 � 0.17 � 10�2
[A] ¼ 3.4,[ARE] ¼ 56.67
3.60 � 0.22 � 103 4.74 � 0.21 � 10�2
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Although the off-rate estimation using the method of least
squares is more accurate and reproducible, the on-rate tends to
vary with analyte concentration and is hence less reproducible.6
Our studies confirm that as well. However, as indicated by our
estimate using the dual-slope method, both the on- and off-rates
appear to be more reproducible for different sets of analyte
concentrations. One possible explanation for the apparent
reproducibility may be the result of the short measurement of the
slope technique which intrinsically has a much lower sensitivity
to drift induced errors when compared to the longer conven-
tional step response measurement.
Signal-to-noise ratio
The experimentally observed signal-to-noise ratio or SNR for the
dual slope SPR technique is about 18 dB compared to 28 dB of
the step-response of Fig. 4. The SNR was calculated as the ratio
of the root-mean-square intensity of the fitted response over that
of the recorded signal in the absence of any excitation. The SNR
is improved when the measurement is performed over a longer
period of time or averaged over many cycles because the
standard deviation of random noise does not grow as much as
the strength of the signal does. Therefore for a shorter
measurement period, the slope scheme yields a lower SNR. A
figure of merit more useful for comparison is
FOM ¼ SNRffiffiffiffiffiffiffiffiffiffiffiTmeas
p (10)
where Tmeas is the total measurement time. The ratio of FOMs
for the slope versus the step response measurement is approxi-
mately 1.4 when using measurement periods of 30 s and 5 min,
respectively. This indicates that the FOM for the dual slope
methodology is slightly better than that of the conventional
step response. This technique should therefore be utilized in
situations where random noise is not a limiting factor for the
measurement when one can trade speed with SNR or when the
noise is not random.
This journal is ª The Royal Society of Chemistry 2012
Discussion
While a complete on–off cycle in conventional method takes
about 250–300 s,9,13,14 the new dual slope technique requires only
30 s for one cycle. While the associative cycle takes only about
10 s, the saturation level prior to dissociation (17 s in our case)
can be achieved even faster using a higher concentration, hence
reducing the overall time to complete the two half reactions.
Besides, rate estimation using equilibrium analysis6,14 requires
association phase going to equilibrium, hence consuming time
and larger volumes of bio-samples. The dual-slop technique
circumvents such drawbacks. It must however be noted that the
rapid equilibration time also depends on the value of rate
constants for a particular bimolecular binding system. In our
case, the detection process can be achieved �10 times faster
without compromising the quality or accuracy of rate estimation.
Conclusions
A new methodology has been developed for the rapid determi-
nation of kinetic constants of bio-interactions via SPR. The
technique is based on the measurement of association and
dissociation slopes in two half reactions. The dual-slope tech-
nique was implemented in a microfluidic chip and demonstrated
to be ten-fold faster than the conventional step response.
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