Current developments in precision medicine require the simultaneous detection of an increasing number of biomarkers in heterogeneous, complex solutions, such as blood samples. To meet this need, immunoassays on barcoded hydrogel beads have been proposed, although the encoding and decoding of these barcodes is usually complex and/or resource-intensive. Herein, an efficient method for the fabrication of barcoded, functionalized hydrogel beads is presented. The hydrogel beads are generated using droplet-based microfluidics in combination with photochemically induced C-H insertion reactions, allowing photo-crosslinking, (bio-) functionalization, and barcode integration to be performed in a single step. The generated functionalized beads carry single-color barcodes consisting of green-fluorescent particles of different sizes and concentrations, allowing simple and simultaneous readout with a standard plate reader. As a test example, the performance of barcoded hydrogel beads (3 × 3 matrix) functionalized with capture molecules of interest (e.g., antigens) is investigated for the detection of Lyme-disease-specific antibodies in patient sera. The described barcoding strategy for hydrogel beads does not interfere with the bioanalytical process and captivates by its simplicity and versatility, making it an attractive candidate for multiplex bioanalytical processes.
Current developments in precision medicine require the simultaneous detection of an increasing number of biomarkers in heterogeneous, complex solutions, such as blood samples. To meet this need, immunoassays on barcoded hydrogel beads have been proposed, although the encoding and decoding of these barcodes is usually complex and/or resource-intensive. Herein, an efficient method for the fabrication of barcoded, functionalized hydrogel beads is presented. The hydrogel beads are generated using droplet-based microfluidics in combination with photochemically induced C-H insertion reactions, allowing photo-crosslinking, (bio-) functionalization, and barcode integration to be performed in a single step. The generated functionalized beads carry single-color barcodes consisting of green-fluorescent particles of different sizes and concentrations, allowing simple and simultaneous readout with a standard plate reader. As a test example, the performance of barcoded hydrogel beads (3 × 3 matrix) functionalized with capture molecules of interest (e.g., antigens) is investigated for the detection of Lyme-disease-specific antibodies in patient sera. The described barcoding strategy for hydrogel beads does not interfere with the bioanalytical process and captivates by its simplicity and versatility, making it an attractive candidate for multiplex bioanalytical processes.
The growing field of precision medicine
aims to classify patients
or diseases into subgroups that help in the selection of patient-specific
treatment, leading to higher efficacy of therapy. Quantitative analysis
of multiple biomarkers, whose presence correlates with the state of
a disease, provides more disease-specific information than the analysis
of a single biomarker.[1,2] In this context, quantification
of several biomarkers may be required to detect and characterize the
disease[3] and a variety of multiparametric
new screening platforms have been developed. One example for such
platforms is the generation of microarrays in which spots functionalized
with capture molecules (e.g., antibodies[4] or aptamers[5]) are printed onto planar
surfaces and used to detect a target analyte. However, in such an
approach the probe density on a 2D surface is limited due to steric
hindrance and quenching.[6] Another example
is suspension assays (assays performed on suspended solid beads) which
circumvent many of these limitations and benefit from fast reaction
kinetics. To achieve higher probe densities, Meiring et al.[7] proposed hydrogel-based beads as a substitute
for solid, opaque beads. In this approach, probes are distributed
throughout the hydrogel, resulting in a higher probe density when
projecting the 3D volume onto a 2D image.[8] In addition, because such beads are transparent, the shading effect
of overlapping projections of beads during transmission read-out is
less pronounced.In recent years, various labeling strategies
for differentiating
mixed hydrogel beads in a multiplex assay have emerged, as for example
described by Roh et al.[8] and Xu et al.[9] Examples of the best-known strategies are optical
encoding (incorporation of luminescent dyes), physical encoding (fabrication
of differently shaped beads), and graphical encoding (fabrication
of 2D-patterned beads). In optical encoding, the generation of optical
barcodes can be achieved by incorporating quantum dots,[10,11] lanthanoid nanophosphors,[12] or fluorescent
dyes.[13] In physical encoding, differently
shaped hydrogel beads can be produced in a photolithographic process
using a microfluidic stop-flow[14,15] or in a batch-wise-filled
mold,[7,16] while graphical encoding typically relies
on the use of 2D-patterned beads. Such hydrogel beads can be prepared
by combining microfluidic co-flow with a photolithographic process.[17,18] In the strategies presented, the materials used range from polystyrene
or silica for solid beads[13,19,20] to polyethylene glycol (PEG) or alginate for hydrogel beads.[10,16,21]Although many different
labeling strategies for hydrogel beads
have been developed, no concept to date provides efficient encoding
and decoding that could be used for low-cost, high-throughput production.
Optical labeling strategies provide a simple encoding strategy, but
require expensive readout devices such as flow cytometers for excitation
and need a detection of multiple wavelengths. In addition, crosstalk
between the fluorescent barcodes and the fluorescent dye bound as
a result of the immunoassay must be considered.Physical encoding
strategies affect the performance of the assay
by altering parameters such as the surface-to-volume ratio or diffusion
properties within the hydrogel beads. In the case of graphical barcodes,
readout is challenging due to the requirement of a proper bead alignment
during imaging. In addition, the commonly used stop-flow process in
these strategies limits the production rate of the beads since the
droplet formation is paused during the photolithographic process.
Another limitation is the use of photomasks, which reduces the adaptability
of the encoding system. In summary, most approaches for the labeling
of hydrogel beads need improvements in terms of complexity, efficiency,
or adaptability.An example where a multiparametric assay is
required is the detection
of Lyme disease, an infection caused by bacteria of the genus Borrelia
and transmitted by ticks. One possible assay is based on the quantification
of human immune globulins (Ig) against the outer surface protein C
(OspC) and the variable major proteinlike sequence E1 (VlsE1). Enzyme-linked
immunosorbent assays (ELISA) in microplates represent a commonly used
platform in clinical diagnostics for the detection of such proteins
in patient samples. Characteristics of these assays include highly
selective binding of the capture antibody to its antigen and high
sensitivity of an enzymatic readout.[22] A
multiplexed analysis based on this technique has been developed in
the form of protein microarrays.[23,24] However, drawbacks
of this technology include a diffusion-limited binding process during
sample incubation and low flexibility in the probe configuration for
patient-specific assays.[25]To address
these issues, we present a straightforward strategy
to incorporate optical barcodes into biofunctionalized hydrogel beads
for simple and efficient encoding and decoding. The hydrogel bead
formation, optical barcode incorporation, and biofunctionalization
are performed in a continuous, one-step process. For barcoding, two
green-fluorescent particles that differ in size are homogeneously
distributed in the hydrogel beads. This allows a low-cost readout
with two fluorescence channels as present in conventional plate readers.
One channel is used to decode the barcodes, the other to quantify
the intensity of the fluorescence immunoassay. The suitability of
the system as a bioanalytical platform is demonstrated by the multiplexed
analysis of patient sera for Lyme-disease-specific biomarkers.
Materials and Methods
Polymer Synthesis
The copolymer P(DMAA-co-5% MABP-co-2.5% SSNa) was synthesized according
to Rendl et al.[26] by free radical polymerization
of N,N-dimethylacrylamide (DMAA), methacryloyloxybenzophenone (MABP),
and Na-4-styrenesulfonate (SSNa), using the initiator a,a′-azoisobutyronitrile
(AIBN). Its molecular weight Mw was 285
kg/mol with a polydispersity index (PDI) of 2.9 and a MABP content
of 4.6%.
3 × 3 Barcoding
Green-fluorescent PMMA particles
(PolyAn GmbH, PolyAn Pink 20, Art. 10670009, d ≈
10 μm) and green-fluorescent melamine particles (Microparticle
GmbH, MF-FluoGrün-0.5, d ≈ 450 nm)
were used for the micro- and nanoscale barcodes, respectively. The
copolymer was dissolved in DI water (150 mg/mL) and mixed with the
fluorescent particles to obtain nine solutions with all combinations
of [0; 1; 2] mg/mL of the melamine and [0; 0.4; 0.8] mg/mL of the
PMMA particles.Similar to the previous work by Schönberg
et al.,[27] two syringes (Hamilton Bonaduz
AG, Gastight Syringe, 500 μL and Setonic GmbH, Glass Syringe,
1000 μL) were filled with fluorinated oil (3M, Fluoriniert FC-3283)
and connected to a syringe pump (Cetoni GmbH, neMESYS 290N). The polymer
solutions were aspirated by the syringe pump into an FEP tube (ProLiquid
GmbH, Fluidflon FEP, ID: 0.25 mm). One microliter of fluorinated oil
was used in between the different solutions as a spacer to prevent
mixing. A T-junction (VICI AG International, CTFE TEE connector) was
connected to the tubes exiting the syringes. A tube exiting the T-junction
was coiled inside a UV-chamber.Flow rates of 1.3 and 6.5 μL/min
for the dispersed and continuous
phase, respectively, as well as an irradiation time of 30 min at 365
nm (Vilber GmbH, high performance xenon lamp) were selected for the
hydrogel bead production. The cross-linked beads were collected in
a 96-well microplate placed on a ThermoCell mixing block and washed
with DI water (3 × 100 μL, 3 min, 500 rpm). The fluorescent
labels were read out on a fluorescence plate reader (Sensovation,
SensoSpot Microarray Analyzer) in the green channel at an exposure
time of 50 ms.
Immunoassay
The assay protocol used
in this work, including
optimization of antigen, serum, and detection antibody concentrations
was adapted from Fosso Tene et al.,[28] where
the detection of borrelia-specific IgG/IgM in patient sera was performed
using porous hydrogels containing the same capture proteins used in
this work. Those capture proteins are OspC Bb and OspC Bs (DIARECT
GmbH), VlsE1 Bb (DIARECT GmbH), and Rabbit Anti-Goat IgG (Dianova
GmbH, Art. 305-005-045).For the borrelia assay, four typical
test beads were generated. They were prepared from the following solutions
(Table ): (1) a test
solution containing the copolymer, a mixture of OspC Bb and OspC Bs
and PMMA particles; (2) a test solution containing the copolymer,
VlsE1 Bb and melamine particles; (3) the negative control containing
the copolymer only; (4) the positive control in which the copolymer
was mixed with Rabbit Anti-Goat IgG, PMMA, and melamine particles.
Table 1
End Concentration of Each Reagent
in the Prepared Hydrogel Beads Used for the Detection of Borrelia-Specific
Antibodies
test OspC
test 2 VlsE1
negative control
positive
control
copolymer
120 mg/mL
120 mg/mL
120 mg/mL
120 mg/mL
rabbit anti-goat IgG
0.3 mg/mL
OspC Bb
0.6 mg/mL
OspC Bs
0.6 mg/mL
VlsE1 Bb
0.54 mg/mL
PMMA particles
0.9 mg/mL
0.9 mg/mL
melamine particles
0.4 mg/mL
0.4 mg/mL
The generation of the beads was conducted
as follows: the test
solutions, separated by 1 μL of fluorinated oil, were aspirated
into an FEP tube. The droplets were produced in a T-junction with
a flow rate of 1.6 and 8 μL/min for the dispersed and continuous
phase, respectively, and cross-linked for 30 min at 365 nm. The hydrogel
beads were collected in a 96-well microplate, placed on a mixing block,
and washed as described above. The mixing block was kept at 500 rpm
for all further steps.To perform the assays, the prepared hydrogel
beads were washed
three times with 100 μL of a PBS solution containing 0.1 wt
% BSA (Sigma, Albumin Fraktion V, Art. 0163.2) for 10 min and then
incubated for 60 min with 100 μL of the serum to be analyzed
which was diluted 1:50 in PBS-0.1% BSA. After incubation with serum,
the beads were washed again three times with 100 μL of PBS-0.1%
BSA solution for 5 min each washing. Thereafter, they were incubated
for 30 min with 100 μL of a solution containing 2 μg/mL
Goat Anti-Human IgG DyLight 650 (Invitrogen, Art. SA5-10137) dissolved
in PBS-0.1% BSA. In a final wash step, the beads were incubated three
times with 100 μL of a PBS solution containing 0.1 wt % Tween
20 for 5 min. For the analysis, the beads were transferred to wells
containing 100 μL of DI water and incubated for 30 min before
the read out using the fluorescence plate reader in the red and green
channels with an exposure time of 50 ms.The sera (PS1623, PS1646,
PS1670, PS1675, and PS1922) from infected
patients and (BSP8052, BSP8056, BSP8079, BSP8094, and BSP8106) from
healthy patients used in this work were provided and characterized
by DIARECT GmbH, using either a commercially available line immunoassay
(Mikrogen recomLINE Borrelia IgG/IGM) or a chemiluminescence immunoassay
kit (LIAISON LymeDetect), as summarized in Table .
Table 2
Reactivity of Sera
from Infected Patients
in Case of IgG-Detectiona
reference
test against
serum
OspC Bb and Bs results
VlsE1 Bb results
PS1623
negative
negative
PS1646
positive
positive
PS1670
negative
positive
PS1675
negative
positive
PS1922
positive
positive
The sera were tested by DIARECT
GmbH using commercially available reference tests.
The sera were tested by DIARECT
GmbH using commercially available reference tests.
Fluorescence Measurements and Validation
of Assay Results
The obtained fluorescence images were analyzed
using ImageJ. For
each hydrogel bead, the microscale barcode was evaluated by manually
counting the number of green-fluorescent spots. The pixels of these
spots were then set to a non-numeric value (NaN) by a threshold filter
to exclude them from the further analysis. The median green-fluorescence
intensity of the remaining pixels, corresponding to the nanoscale
barcode, was then measured. Both resulting quantities were normalized
to the average value of all hydrogel beads with the second-lowest
concentration of the respective type to obtain a simple translation
of the visual representation to the numeric value of the respective
barcode.For the evaluation of the multiplex immunoassays, the
mean red-fluorescence intensity of each hydrogel bead (I̅) for each serum was measured and the net fluorescence intensity
(I̅)net of each test bead (Ospc
or VlsE1) was calculated using eq Here, (I̅NC) and (I̅test) represent the measured
fluorescence intensities for a negative control bead and a test bead,
respectively.To determine whether a test bead is positive or
negative for an
incubated serum, the threshold value T for each test
bead was calculated by analyzing (as described above) the five sera
from healthy patients using eq Here, (I̅)ne and σ( represent the average and standard deviation,
respectively,
of the measured net fluorescence intensity for each test bead.
Results
and Discussion
Concept for a Simple Single-Color Barcoding
Barcodes
are used to represent product information in a machine-readable layout.
They come in a variety of forms, most notably 1D barcodes such as
the Universal Product Code (UPC) or 2D barcodes such as the QR code.
Generally, the code consists of an optical structure (visual representation)
that can be decoded into a number. With the help of lookup tables,
this number can be matched with a product.In this work, the
visual representation of the barcode (shown in Figure a) is based on two differently sized green
fluorescent particles, covalently immobilized in a hydrogel network.
The incorporation of 450 nm-sized melamine particles leads to a homogeneous
staining of the hydrogel matrix, since the particles are smaller than
the optical resolution of the used readout equipment. Ten micrometer-sized
PMMA particles, on the other hand, are visible as countable fluorescent
spots within the hydrogel beads. The concentration of these particles
correlates with the fluorescence intensity of the hydrogel matrix
and the number of fluorescent spots per hydrogel bead for the nano-
and microscale barcode, respectively. The combination of both particles
in distinct concentrations allows one to create a 2D barcoding matrix
that yields a large number of different codes with a single fluorescent
color.
Figure 1
Schematic principle of the barcode allocation table. (a) The barcodes
are visually represented by the staining of hydrogel beads with a
mixture of nano- and microscale fluorescent particles (homogeneous
staining in different intensities and visible spots in different quantities
within the elongated beads, respectively). (b) The normalized values
for the fluorescence intensity and the number of particles per hydrogel
bead can be translated into a numerical code C which can be assigned to a particular capture molecule, such
as an antibody, immobilized in the respective bead.
Schematic principle of the barcode allocation table. (a) The barcodes
are visually represented by the staining of hydrogel beads with a
mixture of nano- and microscale fluorescent particles (homogeneous
staining in different intensities and visible spots in different quantities
within the elongated beads, respectively). (b) The normalized values
for the fluorescence intensity and the number of particles per hydrogel
bead can be translated into a numerical code C which can be assigned to a particular capture molecule, such
as an antibody, immobilized in the respective bead.In this case, the numerical code C can be described as C, where X and Y are integers between 0 and n – 1, where n represents the number of distinguishable concentrations
of the respective fluorescent particle. In addition to the barcodes,
the hydrogel beads are carriers for specific capture proteins used
in a fluorescence immunoassay to detect a target molecule in patient
sera. By reading out the barcodes and translating them into a numerical
code, the assay performed on a particular hydrogel bead can be identified,
as shown in Figure b.The production of the functionalized hydrogel beads, shown
in Figure , is based
on the
setup developed by Schönberg et al.[27] Droplets are generated by shearing off an aqueous solution by a
fluorinated oil in a T-junction, a process comprehensively summarized
by Christopher et al.[29] and Nunes et al.[30] Here, the aqueous solution consists of a copolymer
for the formation of the hydrogel network, capture proteins for the
immunoassay, and the fluorescent particles for barcoding, all mixed
together. The copolymer is based on dimethylacrylamide (DMAA) as the
hydrophilic backbone, sodium styrene sulfonate (SSNa) to improve the
water solubility of the polymer at concentrations above 300 mg/mL,
and methacryloyloxy-benzophenone (MABP) as a photoreactive crosslinker.[31]
Figure 2
Schematic overview of the hydrogel bead production. Aqueous
droplets,
containing a photoreactive copolymer, fluorescent particles, and capture
proteins are produced in a T-junction using a fluorinated oil as the
continuous phase. In a subsequent UV-chamber, the simultaneous network
formation, biofunctionalization, and barcode incorporation are carried
out by the C,H-insertion reaction of the benzophenone moieties in
the copolymer. The hydrogel beads are collected in the wells of a
microplate for postprocessing.
Schematic overview of the hydrogel bead production. Aqueous
droplets,
containing a photoreactive copolymer, fluorescent particles, and capture
proteins are produced in a T-junction using a fluorinated oil as the
continuous phase. In a subsequent UV-chamber, the simultaneous network
formation, biofunctionalization, and barcode incorporation are carried
out by the C,H-insertion reaction of the benzophenone moieties in
the copolymer. The hydrogel beads are collected in the wells of a
microplate for postprocessing.In a single irradiation step, the hydrogel network is formed, biofunctionalized
with the capture proteins, and labeled with the fluorescent particles
by a photoinduced C,H-insertion reaction (CHic) described in detail
by Prucker et al.[32] In short, UV-irradiation
(365 nm) generates a biradical on the benzophenone that can abstract
a hydrogen atom from a nearby C,H-group. Through recombination, a
covalent C,C-bond is formed, leading to the linkage of two polymer
chains and ultimately to the formation of a network when the percolation
point is reached. Simultaneously, C,H-groups-containing biomolecules
and C,H-groups-containing fluorescent particles become covalently
attached to the network (see Figure , CHic-reaction). Subsequently, the hydrogel beads
are collected in a microplate. Each type of bead can carry capture
proteins for a specific target which are later identified by the barcode.
Several types of hydrogel beads are then combined in one well for
a multiplexed analysis.This process offers several advantages
over the current production
of commercially available state-of-the-art assays. The use of hydrogel
beads in general, as opposed to solid beads, offers the advantage
that the whole volume of the beads can be used to capture the target
molecules. Transparent 3D beads in which the probes are accessible
in the whole bead volume allow a higher probe density than opaque
beads, where only surface molecules facing the readout optics contribute
to the assay signal. In addition, beads whose images overlap in the z-axis do not obscure each other, so that these beads can
also be used for the analysis.The method for preparing hydrogel
beads presented herein offers
the particular advantage that all reactions, that is, cross-linking,
immobilization of biomolecules, and incorporation of barcodes, are
performed in a single irradiation step. The preparation of each solution
could be automated by a suitable fluidic system. In addition, no potentially
toxic low-molecular-weight substances, such as monomers or added cross-linkers,
are used in the reaction. This has the advantage that no unreacted
components can leach out after network formation, which would affect
the performance of the assay after prolonged storage.
Fabrication
of a 3 × 3 Barcoding Matrix
For a
reliable identification, the maximum concentration of the nanoscale
particles was chosen such that the resulting mean intensity of the
nanoscale barcode was less than half the intensity of the individual
microscale particles. Therefore, the upper limit for the nanoscale
particles was set at 2 mg/mL. The maximum load of microscale particles
was defined as 100 particles per hydrogel bead, which corresponds
to a particle concentration of 1.2 mg/mL in the polymer solution,
since higher concentrations would lead to an overlap of the individual
particles and thus an inaccurate readout. Three concentrations of
the green-fluorescent melamine particles [0, 1, 2] mg/mL and the green-fluorescent
PMMA particles [0, 0.6, 1.2] mg/mL were selected for the nano- and
microscale barcode, respectively.Images of the barcodes with
two sizes of green-fluorescent particles incorporated into the network
of P(DMAA-co-4.6% MABP-co-2.5% SSNa) are shown in Figure a. Both fluorescent particles
are homogeneously distributed throughout the volume of the hydrogel
without a significant formation of agglomerations. Furthermore, because
of the immobilization via covalent bonds and physical entrapment,
no leaching-out of particles was observed. The microscale barcode
stands out clearly from the background of the nanoscale barcode (CX1 and CX2), resulting in a clear readout and a
simplified counting of the bright fluorescent spots.
Figure 3
Analysis of the 3 ×
3 green-fluorescent barcoding matrix.
(a) Stitched green-fluorescent image of hydrogel beads carrying all
combinations of the nano- and microscale particles at concentrations
of [0, 0.6, 1.2] and [0, 1, 2] mg/mL, respectively. (b) Statistical
analysis of the barcoding matrix and assignment of the respective
numerical code C. Error bars represent
standard errors (n = 24).
Analysis of the 3 ×
3 green-fluorescent barcoding matrix.
(a) Stitched green-fluorescent image of hydrogel beads carrying all
combinations of the nano- and microscale particles at concentrations
of [0, 0.6, 1.2] and [0, 1, 2] mg/mL, respectively. (b) Statistical
analysis of the barcoding matrix and assignment of the respective
numerical code C. Error bars represent
standard errors (n = 24).Figure b shows
the statistical analysis for an average of 24 hydrogel beads per barcode.
The nanoscale barcode can be incorporated with high accuracy, resulting
in low standard deviations (the error bars for the six codes C0Y and C1Y are hidden by the symbol in the graph).
In the case of the microscale barcodes, the three particle concentrations
can be separated by more than three standard deviations. The high
precision (difference between the mean measured value and the target
values of 0, 1, and 2) allows a reproducible production of the individual
barcodes. On the basis of the statistical analysis, the visual representation
of the barcodes can be directly translated into the numerical code
(CXY) by using the normalized values.The combination
of the photoreactive copolymer and the differently
sized, fluorescent particles allows a simple customization of the
barcodes by mixing the particles in the desired ratio. The production
of the functionalized hydrogel beads is carried out in a continuous
process and the analysis can be performed with a single image from
a commercially available plate reader and is independent of the orientation
of the hydrogel beads during readout.
Multiplexed Immunoassay
on Biofunctional Hydrogels
After establishing the model reactions
in a 3 × 3 matrix, the
suitability of the presented system for serological assays is demonstrated
by detecting antibodies specifically present in human serum in the
case of Lyme disease. For this purpose, a green-fluorescence image
of the hydrogel beads is acquired to read out the barcodes and thus
identify the immunoassays carried out on each bead. A red-fluorescence
image of the same beads is then used to quantify the intensity of
the immunoassay. Since four different assays are carried out in parallel,
a 2 × 2 barcoding matrix was created. This simplifies the decoding
of the barcodes to a binary decision based on the presence or absence
of the micro- and nanoscale particles, as shown in Figure .
Figure 4
Allocation table for
the analysis of patient sera for Lyme disease.
The two sizes of fluorescent particles form the code CXY, which is used to identify the assay carried out on the respective
hydrogel bead. VlsE1 Bb, OspC Bb and Bs, and Rabbit Anti-Goat IgG
are covalently incorporated into the hydrogels to capture the corresponding
antibodies. The target molecules, if present, are detected by fluorescently
labeled Goat Anti-Human IgG.
Allocation table for
the analysis of patient sera for Lyme disease.
The two sizes of fluorescent particles form the code CXY, which is used to identify the assay carried out on the respective
hydrogel bead. VlsE1 Bb, OspC Bb and Bs, and Rabbit Anti-Goat IgG
are covalently incorporated into the hydrogels to capture the corresponding
antibodies. The target molecules, if present, are detected by fluorescently
labeled Goat Anti-Human IgG.Four bead types (all consisting of the copolymer) were prepared
for the analysis of patient sera in a serological immunoassay format:
the negative control, the positive control, and two test beads. One
test bead contained the Borrelia burgdorferi (Bb)
and Borrelia spielmanii (Bs) outer surface protein C (OspC) and microscale
fluorescent particles, while the other test bead contained the variable
major proteinlike sequence E1 (VlsE1) Bb and nanoscale fluorescent
particles. The positive control contained a Rabbit Anti-Goat IgG and
both fluorescent particle types, while the negative control contained
only the copolymer. The first assay step was to incubate the beads
(all four types present in the wells of a microplate) with serum,
where humoral antibodies can specifically bind to the presented proteins.
In a further incubation step, the antibodies to be detected (if bound
to OspC or VlsE1) are recognized by a fluorescently labeled detection
antibody (Goat Anti-Human IgG DyLight 650). In the positive control,
the capture antibody binds to the detection antibody. It is required
to demonstrate that the capture antibody is in a native state. Denaturation
of the capture antibody due to damage during storage or any of the
process steps would negatively affects its functionality, making it
unable to bind the detection antibody. In the case of the negative
control, the detection antibody can only adsorb to the hydrogel network
without specific binding. This fluorescence intensity represents the
background intensity of the assay and is therefore subtracted from
the signal obtained with the other beads.A green-fluorescence
image and a red-fluorescence image of one
well are shown in Figure a,b, respectively. The outlines of the hydrogel beads without
green-fluorescent particles are traced by a dashed line in Figure a for better visibility.
After incubation of the hydrogel beads in suspension, the beads sediment
and assemble next to each other, allowing up to 24 beads per well
to be analyzed without overlap. Movement of the beads between taking
the green and red images is negligible when the two images are acquired
within a short time. Therefore, the image taken in the green channel,
containing the barcodes, was successfully used to identify the immunoassays
in the red channel.
Figure 5
Evaluation of the multiplexed analysis of four different
assays.
(a) Green-fluorescence image for the identification of the four barcodes.
The micro- and nanoscale barcode encodes for the detection of anti-OspC
and anti-VlsE1, respectively. The combination of the two encodes for
the positive control. The outlines of the negative controls without
fluorescent particles are traced by a dashed line. (b) Red-fluorescence
image quantifying the four different assays carried out on the barcoded
hydrogel beads. (c) Averaged intensities of the four red-fluorescence
assays for a positive (PS1922) and negative (BSP8056) serum.
Evaluation of the multiplexed analysis of four different
assays.
(a) Green-fluorescence image for the identification of the four barcodes.
The micro- and nanoscale barcode encodes for the detection of anti-OspC
and anti-VlsE1, respectively. The combination of the two encodes for
the positive control. The outlines of the negative controls without
fluorescent particles are traced by a dashed line. (b) Red-fluorescence
image quantifying the four different assays carried out on the barcoded
hydrogel beads. (c) Averaged intensities of the four red-fluorescence
assays for a positive (PS1922) and negative (BSP8056) serum.In Figure a, it
is noticeable that the red fluorescent dye (DyLight 650) has a spectral
bleed through to the green channel, which falsely increases the intensity
of the green-fluorescence of the nanoscale barcode. This effect is
particularly pronounced with highly positive sera, as is the case
with the detection of anti-OspC in the example shown. However, this
constant effect, which accounts for about 1.4% of the red-fluorescence
intensity, can be subtracted from the individual hydrogel beads in
the green channel. On the other hand, the emission spectrum and the
concentration of the green-fluorescent particles were selected so
that the bleed through into the red (immunoassay) channel can be neglected.Figure c summarizes
the fluorescence intensities of the four different assays for one
well of the positively tested patient serum PS1922 and the negative
blood donor sample BSP8056. In the case of the patient serum, the
intensities of the two serological assays (test for anti-OspC and
test for anti-VlsE1) are strongly increased compared to the intensity
of the negative control. No significant increase in the intensity
of the test for anti-OspC and anti-VlsE1 was observed in the blood
donor sample compared to the negative control. These results indicate
that the capture proteins and the detection antibodies are able to
bind specifically to the humoral antibodies present in the patient
serum but not to other proteins present in the serum. The small standard
deviation and the low intensity of the negative control allow the
reliable detection of the increased signal of the test assays.A low concentration of capture antibody (0.3 mg/mL) was chosen
for the positive control compared to the concentrations of VlsE1 (0.56
mg/mL) and OspC (two times 0.6 mg/mL). This was done so to reduce
competition for the binding sites of the detection antibody between
the test assays and the positive control. This decision leads to results
where the test assays can have a higher intensity than the positive
control. Nevertheless, in all cases the intensity of the positive
control was significantly higher than the intensity of the negative
control, as confirmed by a paired sample t test with
10 sera in 3 replicas each (p < 0.001). In these
experiments, the positive control indicates that the capture antibodies
binding to the Fc-region of the detection antibody maintained their
native state during hydrogel fabrication and storage.The multiplexing
of four assays in a single well has several advantages.
First, the required volume of sera and reagents is reduced by a factor
of 4 compared to singleplex assays. Second, since all process steps
are carried out simultaneously, all parameters such as temperature,
reagent concentrations, volume of incubated serum, or incubation time
are identical for all beads in one well. This leads to an ideal comparability
between the resulting intensities of the control and test assays.
Analysis of Patient Sera
To establish a threshold intensity
for characterizing patient samples as “positive” or
“negative” for antibodies against OspC or VlsE1, five
negative blood donor sera were analyzed. The negative control, the
test for anti-OspC, and the test for anti-VlsE1 were each carried
out on an average of five beads per well, in a replicate of three
wells for each of the five blood donor sera. Intensity thresholds,
plotted as dashed lines in Figure , were then calculated as the mean background-corrected
intensity plus three standard deviations (n = 45)
of each assay according to eq in Material and Methods.
Figure 6
Measured net
signals for the detection of IgG-antibodies against
the protein (a) OspC and (b) VlsE1 in five sera (PS) from infected
patients (n = 15, mean values and standard deviations
are shown). The respective thresholds were obtained by characterizing
five negative blood donor sera as described in Fluorescence Measurements and Validation of Assay Results.
Expected assay results obtained with commercial reference assays are
indicated in parentheses.
Measured net
signals for the detection of IgG-antibodies against
the protein (a) OspC and (b) VlsE1 in five sera (PS) from infected
patients (n = 15, mean values and standard deviations
are shown). The respective thresholds were obtained by characterizing
five negative blood donor sera as described in Fluorescence Measurements and Validation of Assay Results.
Expected assay results obtained with commercial reference assays are
indicated in parentheses.The mean background-corrected intensities of hydrogel beads testing
for antibodies against OspC and VlsE1 were compared to the previously
established threshold in Figure a,b, respectively. Each patient serum was measured
in triplicate with an average of five hydrogel beads for each assay
type and replicate. The error bars in Figure represent the standard error. Following
similar assay formats, an intensity value above or equal to the threshold
value represents a positive test for the respective biomarker, a sample
slightly below the threshold is marked as marginal, and a signal clearly
below the threshold is considered negative for the biomarker.In Figure a, two
of the patient sera (PS1646 and PS1922) were measured positive for
antibodies against the protein OspC, while the other three were clearly
below the threshold and thus negative for OspC. When tested for antibodies
against the protein VlsE1, all but one serum (PS1623) showed an intensity
above the threshold and thus tested positive for the biomarker (Figure b). With an intensity
value of 2281, the test for anti-VlsE1 on the sample PS1670 is above
the threshold value of 2215 and is thus also considered positive.
The serum PS1623 is clearly below the threshold. Thus, all sera are
in agreement with the external characterization by reference tests,
stated in parentheses under the respective sample number.
Conclusion
and Outlook
Photoinduced hydrogel formation in a two-phase
flow is a versatile
way to produce barcoded and biofunctionalized hydrogel beads for multiplexed
immunoassays in a single-step reaction. The incorporation of the photoreactive
cross-linker as a side group of the copolymer allows the formation
of hydrogel particles through C,H-insertion without the use of low-molecular
weight cross-linkers or monomers that could contaminate the beads
and leach out during storage. Such material loss and contamination
of the storage solution would pose an additional challenge for quality
control. In addition, the issue of immiscibility between hydrophilic
proteins and hydrophobic cross-linkers is circumvented.The
visual representation of the barcodes is based on the covalent
incorporation of off-the-shelf particles during the hydrogel network
formation. In this way, a 2D matrix of individual barcodes is generated
that can be decoded with a single fluorescence image, independent
of the orientation of the hydrogel beads during readout.In
addition to its efficient fabrication and readout, the presented
approach for barcoding hydrogel beads also allows for a variety of
simple adaptations to increase the number of different barcodes. The
main requirement for the fluorescent particles is that they form at
least a temporarily stable dispersion in the aqueous polymer solution
used in the two-phase-flow microfluidics. The use of differently shaped
green-fluorescent particles, such as rods, would further increase
the dimensionality of the barcoding system.The production of
a larger number of graphically encoded labels,
in contrast, would require sufficient optical resolution of the photolithographic
setup to produce small-scale features. On the other hand, reading
out larger numbers of fluorescent labels with a multicolor optical
barcode would be challenging as deconvolution of overlapping spectra
is required. This strongly limits the information encoding process
as with increasing number of labels the read-out becomes more and
more challenging. In the approach presented herein, the complexity
of fabrication and readout does not scale with the number of total
barcodes.The presented concept for the generation of barcoded
hydrogel beads
is well suited for a scale-up to an industrial process since the beads
are produced in a continuous process that allows for faster production
than a stop-flow or batch process. In addition, the fluidic setup
is simple, making a scale-up through parallelization rather simple.
An efficient and cost-effective analysis of the barcodes is possible
for both high-throughput and benchtop experiments, because a single
fluorescence image of the rotationally symmetric hydrogel beads obtained
by a standard plate reader is sufficient.Overall, the presented
process is a simple and robust way to encode
information into hydrogel beads. The labels and the attached capture
molecules can be tailored to the specific needs with little effort.
The encoded information of the barcodes can be read out in an efficient
and cost-effective way using a single fluorescence image.
Authors: Jan-Niklas Schönberg; Marc Zinggeler; Patrick Fosso; Thomas Brandstetter; Jürgen Rühe Journal: ACS Appl Mater Interfaces Date: 2018-11-09 Impact factor: 9.229
Authors: Marc Zinggeler; Jan-Niklas Schönberg; Patrick L Fosso; Thomas Brandstetter; Jürgen Rühe Journal: ACS Appl Mater Interfaces Date: 2017-04-03 Impact factor: 9.229