Piotr J.
Cywiński
*ab,
Marek
Pietraszkiewicz
*b,
Michał
Maciejczyk
b,
Krzysztof
Górski
b,
Tommy
Hammann
a,
Konstanze
Liermann
ac,
Bernd-Reiner
Paulke
d and
Hans-Gerd
Löhmannsröben
c
aFunctional Materials and Devices, Fraunhofer Institute for Applied Polymer Research, Geiselbergstr. 69, 14476 Potsdam-Golm, Germany
bInstitute of Physical Chemistry, Polish Academy of Sciences, Kasprzaka 44-52, 01-224 Warsaw, Poland. E-mail: pcywinski@ichf.edu.pl; mpietraszkiewicz@ichf.edu.pl; Fax: +49-331-568-3000; Fax: +48-22-3433333; Tel: +49-331-568-3332 Tel: +48-22-3433416
cPhysical Chemistry, Institute of Chemistry, University of Potsdam, Karl-Liebknecht-Str. 24-25, 14476 Potsdam-Golm, Germany
dMicroencapsulation and Particle Applications, Fraunhofer Institute for Applied Polymer Research, Geiselbergstr. 69, 14476 Potsdam-Golm, Germany
First published on 6th December 2016
Total protein concentration (TPC) is a key parameter in many biochemical experiments and its quantification is often necessary for isolation, separation, and analysis of proteins. A sensitive and rapid nanobead-based TPC quantification assay based on Förster Resonance Energy Transfer (FRET) has been developed. A new, highly luminescent Tb(III) complex has been synthesised and applied as donor in this FRET assay with an organic dye (Cy5) as acceptor. FRET-induced changes in luminescence have been investigated both at donor and acceptor emission wavelength using time-resolved luminescence spectroscopy with time-gated detection. In the assay, the Tb(III) complex and fine-tuned polyglycidyl methacrylate (PGMA) nanobeads ensure that an improvement in sensitivity and background reduction is achieved. Using 40 nm large PGMA nanobeads loaded with the Tb(III) complex, it is possible to determine TPC down to 50 ng mL−1 in just 10 minutes. Through specific assay components the sensitivity has been improved when compared to existing nanobead-based assays and to currently known commercial methods. Additionally, the assay is relatively insensitive to the presence of contaminants, such as non-ionic detergents commonly found in biological samples. Due to no need for any centrifugal steps, this mix-and-measure bioassay can easily be implemented into routine TPC quantification protocols in biochemical laboratories.
The most commonly used TPC determination methods are either based on direct measuring protein absorbance, absorbance of species reacting with proteins4 or on measuring fluorescence of fluorophores added to protein solution.5 The absorbance methods, however, are limited in their sensitivity with detection limits in mg mL−1 concentration range, low dynamic range and can produce significantly varying readouts for different proteins. The direct absorbance method considers measuring absorption characteristic for tyrosine and tryptophan amino acids, which absorb light at 280 nm. This method could be reliable, but one needs to notice that every protein has a different amount of these amino acids. Moreover, many other chemicals such as buffer salts, alcohols or nucleic acids, which also absorb at 280 nm, can give false positive signal in this case. In the bicinchoninic acid (BCA) assay, involving the chelating of copper ions with BCA, the presence of other copper chelating compounds as for example ammonia can interfere the analytical signal. Since BCA assay is based on measuring absorbance, it is also greatly influenced by the presence of tyrosine, tryptophan, and cysteine amino acids. Other absorbance based quantification methods are either incompatible with common chemicals used in biochemical investigations such as EDTA, Tris or carbohydrates (Folin–Lowry method), or require large amount of sample and tedious and time-consuming preparation involving heated sulfuric acid, steam distillation, and back-titration with sodium hydroxide (Kjeldahl method). Similarly, to bead-based assays, the Bradford assay is also based on electrostatic interactions. In this assay, the Coomassie brilliant blue dye changes its colour from red to blue after the interaction with positively charged proteins. The assay, however, can only detect proteins larger than 3 kDa and it is sensitive to detergents such as SDS and Triton X-100. Fluorescence methods are more sensitive than absorbance methods, but usually they require relatively long incubation times (around one hour) or toxic reagents (e.g. cyanides). Both absorbance and fluorescence methods involve heating steps and are sensitive to contaminants such as free parts of biomaterial, salts and organic compounds. The methods based on specific interactions (e.g. antibody–antigen or DNA pairing) are impractical due to the variety of proteins being involved in the protein composition. Therefore, the particle-based non-specific adsorption methods are a promising alternative to commercial TPC determination methods, particularly when combined with such a sensitive technique as Förster Resonance Energy Transfer (FRET).6
For the last ten years, detection systems based on FRET from lanthanide complexes to organic dyes or to quantum dots have drawn attention due to high sensitivity and the potential for multiplex detection.7 In such systems the use of lanthanide complexes, either Eu(III) or Tb(III), assures long luminescence decay times and well-defined and sharp emission peaks. These properties facilitate time-gated time-resolved luminescence signal acquisition. Due to the long decay time, the background signal from undesired effects, such as biosample autofluorescence, short-living fluorescence of fluorophores as well as the scattered light, is reduced significantly. FRET systems based on the lanthanide complexes have been used for numerous applications such as multiplexed diagnostics,8,9 molecular ruler,10 biotin-streptavidin assays11 as well as in tests for the determination of various biomarkers12 or proteins.13
FRET assays based on nanoparticles loaded with Eu(III) complex have been developed for the determination of protein isosbestic point14 and cell counting.15 However, to the best of our knowledge assays with Tb(III) complex loaded nanoparticles have not been reported up to date. As outlined in Förster theory, in every FRET system the donor photoluminescence quantum yield (ΦF) is crucial factor for efficient energy transfer. In this view, particularly important is the Förster radius (R0), a FRET characteristic value that determines the donor–acceptor distance at which FRET efficiency is equal to 50%. In accordance with the Förster theory, R0 is dependent on donor luminescence quantum yield (ΦL) and spectral overlap between donor emission and acceptor absorption. Thus, the donor properties significantly influence R0 and consequently the performance of the whole sensing system. The finding of a new stable lanthanide complexes with high luminescence quantum yields is also highly desirable for FRET-based detection. This fact tempted us to develop novel Tb(III) complex with high luminescence quantum yield.
In the present work, we report the synthesis of a new Tb(III) complex with ΦL reaching 97% in solid state, 70% in organic solution (DCM) and 50% in water-dispersible polyglycidyl methacrylate (PGMA) nanoparticles. This complex was also successfully applied in bioassay to determine the TPC in the presence of Bovine Serum Albumin (BSA) as a model protein.
The (tpip)3Tb complex (0.1 mmol, 140.8 mg) and 1,4,8,9-tetraazatriphenylene (TAP) (0.1 mmol, 23.2 mg) were placed in a round-bottom flask (10 mL) with stirring bar, and charged with 5 mL of toluene. Stirring at reflux was maintained, till all materials were dissolved completely. Upon standing colourless crystals deposited, which were filtered off and dried under reduced pressure. The second crop was obtained from the mother liquor by diffusion with hexane, layered on toluene solution. Overall yield: 155.8 mg, 95%. Elem. anal. calc. for C86H68N7O6P6Tb; C 62.972, H 4.178, N 5.977, found C 62.95, H 4.17, N 5.96.
Solid content of the polymer dispersion was determined by means of a moisture analyser (Sartorius). Particle size was measured by dynamic light scattering (Brookhaven BI-90). Latex purification was carried out by dialysis against deionised water over 3 days (Visking dialysis tubing, SERVA), followed by ultrafiltration (0.4 L-cell [Berghof], 0.5–0.8 bar overpressure, 25 nm track-etched membrane [Waters]). Zeta potential as a function of pH was determined by means of a combined system, consisting of Zetasizer S (Malvern Instruments) and auto-titrator DL21 (Mettler Toledo).
![]() | (1) |
A closer look on eqn (1) let us notice that there are two crucial factors influencing the Förster radius, namely, quantum yield of a donor in the absence of an acceptor and spectral donor–acceptor overlap. All other factors are constant.
Noticeably, the Förster radius is proportional to the inverse sixth power of the donor luminescence quantum yield (Φ). In the case when Φ would change from 0.1 to 0.9 the Förster radius rises by around 30%, but for a realistic scenario considers increasing Φ from 0.2 to 0.5 what increases Förster radius by 10%, which means in practice the change in R0 of around 0.5 nm. Since lanthanide complexes exhibit emission with narrow and well-defined peaks, the spectral donor–acceptor overlap depends stronger on the acceptor absorptivity than on the shape of the donor emission spectrum. In this case, either the organic dyes with molar extinction coefficients ε around 250000 M−1 cm−1 can be applied or quantum dots with ε reaching 1 × 106 M−1 cm−1 can also be considered.
In typical TPC nanobead-based assays usually polystyrene nanoparticles with the size of around 100 nm are used due to commercial availability or relatively easy preparation. However, the synthesis of highly size-monodispersed polymer nanoparticles with sizes below 40 nm is not a trivial task and it does not work for every polymer. Therefore, as the polymer to prepare nanoparticles in our case we used polyglycidyl methacrylate PGMA, which is known to form nanoparticles below 40 nm, is optically transparent material at the macroscale, while at the nanoscale its transparency can reduce scattering.
In our approach, the nanoparticles are stained with lanthanide complexes over the whole volume, but only the complexes being close to the nanoparticle surface (at distances not exceeding 2R0) can efficiently take part in the FRET process. Unfortunately, all other complexes remaining within the nanoparticle interior also produce luminescence signal that is not being quenched in the FRET process, therefore, it is the component increasing background signal and associated “donor leak”. Using nanoparticles with smaller diameter, the number of ineffective complexes is reduced as well as the background signal. Reducing the size also increases the surface-to-volume ratio that provides lager surface to bind proteins that can increase the dynamic range in charge association based nanosystems. In our case the reduction of nanoparticle diameter by the factor of 2.5 i.e. from 100 nm down to 40 nm is equal to volume reduction by the factor of 15.
Taking advantage of this fact, we developed a nanobead-based sensing system for total protein concentration. Its working principle is schematically shown in Fig. 2. The system comprises negatively charged PGMA nanobeads (40 nm diameter) loaded with (tpip)3Tb–TAP complexes that act as FRET donors, and proteins labelled with organic dyes being FRET acceptors. The sensing proceeds in accordance with the following procedure. In the first step, the donor nanoparticles are mixed with analyte proteins.
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Fig. 2 The working principle of the nanobead-based sensing system using luminescent Tb3+ complex (tpip)3Tb–TAP to determine total protein concentration. |
At pH value below their isoelectric points the proteins become positively charged and adsorb firmly to the negatively charged nanoparticles. Afterwards, the dye-labelled proteins are added. Consequently, FRET is observed from the (tpip)3Tb–TAP to a dye (here Cy5). Depending on the photoluminescence changes observed both in donor and acceptor emissions a total concentration can be determined with high accuracy. Noticeably, for the whole concentration series a precise result can be obtained within 10 min.
A calibration curve for the [(tpip)3Tb–TAP]–Cy5 FRET pair with BSA as a model protein is presented in Fig. 3. As can be seen an eight-fold increase could be observed in the dynamic range of 50–3000 ng mL−1 BSA.
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Fig. 3 The calibration curve determined for BSA concentrations from 10 ng mL−1 to 0.1 mg mL−1 measured with the developed TR-FRET system. A logistic function was fitted to the data. |
Smaller nanoparticles facilitate lower background due to reduced light scattering and assure that most (tpip)3Tb–TAP complexes take part in the FRET process. The limit of detection (LOD) has been estimated to be ca. 50 ng mL−1, which is over 200 times more sensitive than methods conventionally used for TPC determination19 and around 2–5 times more sensitive than other nanoparticle-based systems.13 Therefore, the intrachannel donor “emission leak” into the acceptor channel is also significantly reduced. In nanoparticle-based assays, nanoparticles of around 100 nm are usually used as donors.13,20 Even though the nanoparticles are loaded with complexes over the whole volume, only the complexes placed in the outer shell can efficiently participate to the energy transfer. According to the Förster theory, the critical distance for FRET to occur is equal to 2R0. For typical lanthanide complex-dye FRET pair 2R0 is in the range of 9–12 nm.9 In the case of our system the critical distance for FRET was found to be 2R0 = (11.2 ± 0.2) nm (the calculation (in ESI†) has been executed based on constants presented in the literature11,13). Therefore, in our experiments we used 40 nm large nanoparticles to provide significant number of complexes that could contribute in FRET. Additionally, through the application of nanoparticles with the diameter of 40 nm, the surface-to-volume ratio increased significantly providing larger surface for proteins to bind, which extended the dynamic range up to 2 μg mL−1.
Footnote |
† Electronic supplementary information (ESI) available. See DOI: 10.1039/c6ra23207h |
This journal is © The Royal Society of Chemistry 2016 |