Article pubs.acs.org/acssensors
Inflection Point of the Localized Surface Plasmon Resonance Peak: A General Method to Improve the Sensitivity Peng Chen,†,‡ Nhung Thi Tran,†,‡ Xinglin Wen,§ Qihua Xiong,§ and Bo Liedberg*,†,‡ †
Centre for Biomimetic Sensor Science, School of Materials Science and Engineering, Nanyang Technological University, 50 Nanyang Drive, Singapore 637553 ‡ School of Materials Science and Engineering, Nanyang Technological University, 50 Nanyang Avenue, Singapore 639798 § School of Physical and Mathematical Sciences, Division of Physics and Applied Physics, Nanyang Technological University, 21 Nanyang Link, Singapore 637371 S Supporting Information *
ABSTRACT: The shift of the localized surface plasmon resonance (LSPR) spectrum is widely used in bio- and chemical sensing. Traditionally, the shift is monitored at the peak maximum of the extinction spectrum. We demonstrate that the inflection point at the long wavelength side of the peak maximum shows better refractive index sensitivity than the peak maximum. A consistent improvement in bulk refractive index sensitivity of 18−55% is observed for six different nanoparticles such as spherical particles of different sizes, nanostar and nanorods with different aspect ratios. Local refractive index changes induced by molecular adsorption confirm the superior performance of the method. We contribute this improvement in sensitivity to the change in shape of the LSPR peak in response to an increase of the local refractive index. We further illustrate the advantage of using the inflection point method for analyzing DNA adsorption on U-shaped metamaterials, and for using 17 nm spherical gold nanoparticles for detection of matrix metalloprotease 7 (MMP-7), a biomarker that is heavily upregulated during certain cancers. With the inflection point, the limit of detection (LOD) for MMP-7 is improved to 0.094 μg/mL from 0.22 μg/mL. This improvement may facilitate early diagnosis of salivary and colorectal cancers. We also envision that this generic method can be employed to track minute optical responses in other analytical areas. KEYWORDS: inflection point of LSPR peak, plasmonic nanoparticles, metamaterials, mathematic method, improved sensitivity
T
physicists also explored the potential of meta-materials23 or Fano resonance24 by fabricating novel submicron plasmonic patterns using lithography techniques (a physical approach). Although both efforts improve the refractive index sensitivity of LSPR sensors to some extent, they also bring many problems such as high cost, low yield, and tedious processing. In addition, with more and more nanostructures being synthesized and tested, further improvements utilizing the aforementioned strategies become very difficult. Therefore, a facile and general method to improve the refractive index sensitivity is of high significance. In this contribution, we report a simple mathematical approach by tracking shifts at inflection points of the LSPR spectrum, which is completely independent to both aforementioned chemical and physical approaches. The inflection point approach is not an alternative but a complementary technique that can be used to further improve the performance of LSPR assays. A few alternative mathematical methods to evaluate the peaks of SPR/LSPR have been reported before,25 such as centroid, curvature, and A/D ratio, which all
he LSPR resonance frequency or wavelength of nanosized noble metal particles depends on their size, shape, composition, interparticle distance, and the medium in which they are embedded/dissolved.1 Recently, LSPR of noble metal nanoparticles has attracted tremendous interest in bio- and chemical sensing.2 LSPR sensors for many target molecules including DNAs,3 proteins,4 small biological molecules,5 metal ions,6 enzymes,7 explosives,8 toxins,9 and gases10 have been developed. Sensing with LSPR most often relies on the red shift of the extinction spectrum induced by changes in either refractive index or interparticle distance occurring in response to molecular recognition and/or attachment/bridging. Although useful, the refractive index sensitivity of LSPR sensors is still several orders of magnitude smaller than the sensitivity obtained using propagating SPR sensors.11 As a result, detecting molecules at ultralow concentrations using LSPR is very demanding especially for molecules of low molecular weight. To solve this problem, numerous efforts have been made to improve the sensitivity of LSPR sensors. One approach involves synthesis of novel nanomaterials with higher polarizability such as nanorods,4a nanostars,12 nanoshells,13 mushrooms,14 nanorings,15 nanotriangles,16 nanodisks,17 nanoholes,18 alloy nanoparticles,10a,19 closely packed nanoparticles,20 plasmonic composites,21 and plasmonic nanoparticles of other elements19,22 (a chemical/materials approach). Alternatively, © 2017 American Chemical Society
Received: October 12, 2016 Accepted: January 30, 2017 Published: January 30, 2017 235
DOI: 10.1021/acssensors.6b00633 ACS Sens. 2017, 2, 235−242
Article
ACS Sensors
Figure 1. (a) Extinction, (b) first derivative, and (c) second derivative spectra of 40 nm AuNPs. The three points are indicated with red dots and the red dashed lines serves as a guide for the eye. Points 1 and 3 are two inflection points of the extinction spectrum around the peak maximum, which shows a 0 value in the second order derivative spectrum. (d) Extinction spectra of 40 nm AuNPs exposed in solvents with refractive indices 1.333, 1.362, 1.399, 1.432, and 1.460, respectively. (e) Shift of Point 1, Point 2, and Point 3 with refractive index. (f) Refractive index sensitivity of the three points. Sigma-Aldrich. Hydrochloric acid (37%) was purchased from Merck Millipore, Singapore. Spherical AuNPs with the size of 40 and 60 nm were purchased from BBI solutions. Peptide (CALNN) was purchased from GL Biochem China. Neutravidin was purchased from Thermo Fisher Scientific Inc., USA. Purified oligonucleotide with a thiol modifier (C6 S-S-GGT GGT GGT GGTTGT GGT GGT GGT GG) was purchased from Integrated DNA Technologies, Singapore. Synthesis and Characterization. The synthesis of polypeptide JR2EC with the sequence of (NAADLEKAIEALEKHLEAKGPCDAAQLEKQLEQAFEAFERAG) has been describe elsewhere.26 Gold nanoparticles (AuNPs) of size 13 and 17 nm were synthesized by reduction of HAuCl4 with sodium citrate following the procedures published elsewhere.27 Gold nanostar (AuNS) was prepared by the previous protocol in the literature with little modification.28 Briefly, 180 μL HAuCl4 (0.01 M), 50 μL AgNO3 (0.01 M), and 30 μL HCl (1 M) were consecutively added to 3 mL of Milli-Q water in 20 mL glass vial. Subsequently, 100 μL of gold seed of 20 nm (sodium citrate capped) was added to the solution and the mixture was stirred for further 5 min. After that, 150 μL of ascorbic acid (1 wt %) was rapidly added. The color of the mixture immediately changed to a greenish blue color as the sign of the formation of AuNS. The reaction finished within 30 s. To stabilize the as-prepared from truncation of the sharp tip, chitosan solution (1 wt % in 1% v/v acetic acid, dissolved by sonication until getting transparent solution) was added dropwise into the freshly prepared AuNS solution under gentle magnetic stirring. The final concentration of chitosan is 0.3% wt. Centrifugation and wash were repeated twice to remove the unbound chitosan. Gold nanorod (AuNR) of aspect ratio of ∼3.3 (AuNR1) was prepared by the method published in the literature29 and AuNR with aspect ratio of
contributed to an improved sensitivity, signal-to-noise, and LOD in bio- and chemical sensing. As mentioned before, the traditional way of monitoring changes in the LSPR spectrum relies on the shift of the peak maximum. However, we noticed that the magnitude of the shift is not constant across the spectrum, because of the changes in the shape of the LSPR peak (broadening, asymmetry). Thus, it is critical to reproducibly identify unique and easily tractable locations in the LSPR spectrum that possess maximum shifts in response to refractive index changes/molecular interactions. We recognized two such points in addition to peak maximum, namely, the inflection points around the peak maximum. Mathematically, the inflection points appear as local maxima/ minima in the first order derivative spectrum and as zerocrossings in the second order derivative spectrum. Therefore, they are easily located with the help of the first and second order derivative spectra (Figure 1a−c). We demonstrate herein the performance of the method by studying minute shift induced by refractive index changes in the bulk as well as on the surface of gold nanoparticles and gold metamaterials.
■
EXPERIMENTAL SECTION
Materials. Sodium citrate tribasic dehydrate (99%), gold(III) chloride trihydrate (99.9%), silver nitrate (99%), ascorbic acid (99%), cetyltrimethylammonium bromide (96%), chitosan (low molecular weight), acetic acid (99.7%), and glycerol (99%) were purchased from 236
DOI: 10.1021/acssensors.6b00633 ACS Sens. 2017, 2, 235−242
Article
ACS Sensors ∼4.7 (AuNR2) was prepared by the method published in the literature.30 Fabrication of U-Shaped Metamaterials. The U-shaped metamaterials were fabricated by e-beam lithography following the procedure published elsewhere.31 Briefly, PMMA was spin-coated on the ITO glass and then electron beam was used to define the structure. After exposure, the sample was developed in MIBK solution, followed by the deposition of metal. The metamaterials were obtained after a lift-off process in acetone. Measurement of Spectra. Bulk refractive index was tuned from 1.333 to 1.46 by changing the fraction of glycerol and water. Local refractive index change was obtained by the adsorption of peptide and neutravidin on the 60 nm AuNPs. The adsorption process was conducted at 100 μM of the molecules dissolved in 10 mM sodium citrate buffer at pH 6 to prevent aggregation of AuNPs.9b Extinction spectra were recorded in a PMMA cuvette containing 500 μL AuNPs. The transmission spectra of the metamaterials were collected using a microspectrophotometer (Craic 20) in the range 400−2100 nm. The transmission spectra were measured without any polarizer. Adsorption of Molecules and MMP-7 Sensor. The peptide CALNN and neutravidin were adsorbed to the AuNPs by introducing the molecules of 100 μM concentration into the suspension of AuNPs. The thiolated DNA of 100 μM was first deprotected at the terminal thiol group by mixing with 150 mM dithiothreitol at room temperature for 2 h. Then the thiolated DNA was desalted and purified using a NAP-5 column. After that, 0.4 μL DNA molecule (10 μM) was spotted on clean metamaterials and incubated overnight in a humidity chamber. The samples were subsequently washed with DNA free water to remove any unbound DNA. Functionalization of the AuNPs with JR2EC peptide was performed by incubation of the AuNPs in the 10 μM peptide solution at pH 6 (10 mM sodium citrate) overnight. The unbound peptide was removed by 5 repeated centrifugations followed by washing with PBS buffer at pH 7.4. The MMP-7 mediated hydrolysis of the immobilized peptides was performed at 25 °C and real-time extinction spectra were recorded with the Lambda 35 spectrometer.7a Calculation of Derivative Spectrum. First and second order derivative spectrum are calculated from the extinction spectrum using 19 data points. The details of calculation methods are described in the previous work.25b Point 2 was obtained from the 0 value of the first derivative spectrum while Point 1 and Point 3 were obtained from the 0 value of second order derivative spectrum; see Figure S1. The influence of the number of points on the final noise in the second order derivative spectrum are also shown in Figure S1. Similar calculation was done for the transmittance spectrum for the metamaterials. It is worthwhile to mention that performing the first/ second derivative with the 19 points method produces spectra that significantly reduces the propagation of noise.
■
corresponding first and second order derivative spectra are shown in Figure S1. The shifts of Point 1, Point 2, and Point 3 with refractive index are summarized in Figure 1e. It is clear from Figure 1e that Point 3 shows the highest slope (sensitivity) with bulk refractive index. The refractive index sensitivity of 40 nm AuNPs tracked at the three points is plotted in Figure 1f. The refractive index sensitivity for Point 1, Point 2, and Point 3 are 41.2, 61.8, and 91.4 nm/RIU, respectively. Interestingly, by simply tracking the shift of LSPR spectrum by Point 3, the refractive index sensitivity for 40 nm AuNPs could be improved by 48% with respect to the peak maximum, Point 2. The LSPR spectra measured in solvents with different refractive indices were carefully evaluated and we found that the LSPR peak becomes broader and more intense, and shifts to longer wavelengths when the refractive index in the surrounding solution increases. The broadening influences the inflection points and the peak maximum to a varying degree. For example, for the point at the right side of the peak maximum (point 3, Scheme 1), the broadening of LSPR peak Scheme 1. Illustration of the Sources Contributing to Shift of LSPR Spectra (Blue Spectrum to Red Spectrum)a
a
(a) Pure shift of spectrum; (b) broadening of spectrum; (c) asymmetric broadening of spectrum; (d) typical scenario in LSPR sensing, where a shift, increase in height, and broadening coexist. Shifts at points 1, 2, and 3 are illustrated visually and with equations.
will induce an additional shift to longer wavelengths, while for the points at the left side of the LSPR peak (Point 1) it will induce a negative shift (to shorter wavelengths; see Scheme 1). Therefore, the reason for the better sensitivity with inflection point 3 is that it accounts for both the shift of the LSPR peak and the broadening, whereas the broadening counteracts the shift of point 1. To verify the observation of higher sensitivity of Point 3 over Point 2, a few other gold nanoparticles with different sizes and shapes were tested. Figure 2a shows the extinction spectra of spherical AuNPs of 13, 40, and 60 nm diameter, Au nanostar (AuNS), and Au nanorods (AuNR) with aspect ratios of ∼3.3 and ∼4.7, respectively. The TEM images of these nanostructures are shown in Figure 2b−g, respectively. Extinction spectra of all the nanostructures in Figure 2 were recorded in a mixture of glycerol and water with different refractive indices (see Supporting Information, Figure S2). The refractive index sensitivity of all the nanostructures tracked at Point 3 (black) and Point 2 (white) are summarized in Figure 3a. Obviously, for all the nanostructures tested, Point
RESULTS AND DISCUSSION
The extinction spectrum of 40 nm AuNPs and its corresponding first order and second order derivative spectra25b are shown in Figure 1a,b,c, respectively. The peak maximum (Point 2) and two inflection points (Points 1 and 3) flanking the peak maximum (Point 2) are highlighted in Figure 1a,b,c by red dots. The red dashed lines serve as guidelines for the eye. The two inflection points are not obvious in the extinction spectrum, but appear as local maxima/minima in the first order derivative and have a 0 value in the second order derivative spectrum. Therefore, the inflection points can be easily tracked in the same way as the peak maximum in the extinction spectrum. It is worthwhile to mention that calculating the first/ second derivative with the 19 points method produces a spectrum that is almost as smooth as the original one. To illustrate the shift of the three points with changes in bulk refractive index, the extinction spectra of 40 nm AuNPs in different solvents are measured, see Figure 1d. The 237
DOI: 10.1021/acssensors.6b00633 ACS Sens. 2017, 2, 235−242
Article
ACS Sensors
general method to enhance the refractive index sensitivity for many different plasmonic nanostructures. It is worthwhile to mention that in biosensing, the performance is determined not only by the sensitivity, but also by the noise of the sensor. A systematic evaluation of the noise using 19 points method for the three points are shown in Supporting Information Table SI, Table SII, and Table SIII. From our study, there is no difference observed in the noise between the three points, which we attribute to the high quality (low noise level) of the original UV−vis data and the 19 points method. Therefore, the improvement in LOD or S/N ratio of our sensor is represented by the improvement in sensitivity. In biological sensing, the change in local refractive index induced by molecular binding is of significant interest. Therefore, in addition to the bulk refractive index, the response from local refractive index change was studied using two molecules, peptide (CALNN) and neutravidin. The CALNN peptide consists of 5 amino acids and it has a cysteine group at the end, allowing for end-point attachment to AuNPs. The molecular weights of the peptide and neutravidin are 506 g/mol and ∼60 000 g/mol, respectively. Both molecules are commonly used to functionalize AuNPs for biosensing applications.9b,32 The 60 nm AuNPs capped with sodium citrate were used for the experiments with the peptide and neutravidin in solution. Figure 4a shows the normalized
Figure 2. (a) Extinction spectra of AuNPs of 13 nm (red), 40 nm (blue), 60 nm (black) size and AuNS (green), AuNR1 (cyan), and AuNR2 (pink), respectively. The labeling of the peak in (a) refers to the TEM images (b) to (g). TEM images of AuNPs of 13 nm (b), 40 nm (c), 60 nm in diameter; (d) AuNS (e), AuNR1 aspect ratio 3.1 (f), and AuNR2 aspect ratio 4.7 (g), respectively. Scale bars for all TEM images are 50 nm.
Figure 4. (a) Normalized extinction spectra of 60 nm AuNPs with sodium citrate layer (red) and AuNPs functionalized with CALNN (blue) and Neutravidin (black). (b) Shift of Point 2 (white) and Point 3 (black) upon adsorption of molecules.
Figure 3. (a) Refractive index sensitivity of Point 2 (white) and point 3 (black) for all the nanoparticles shown in Figure 2. (b) % improvement of Point 3 over Point 2 for all nanoparticles.
extinction spectra of the AuNPs before (red) and after adsorption of peptide (blue) and neutravidin (black), respectively. The neutravidin molecule induces a larger red shift of the LSPR spectrum than peptide as expected because of its higher molecular weight. The shift upon adsorption of peptide and neutravidin at Point 2 (white) and Point 3 (black) is plotted in Figure 4b. For both molecules, tracking at Point 3 demonstrates a larger shift than that of Point 2 and the
3 demonstrates superior performance in refractive sensitivity with respect to Point 2. The percentage of improvement is plotted in Figure 3b. A consistent improvement in refractive index sensitivity from 18% to 55% was observed for all six different nanostructures. With these observations, we propose that tracking at the inflection point (Point 3) could be used as a 238
DOI: 10.1021/acssensors.6b00633 ACS Sens. 2017, 2, 235−242
Article
ACS Sensors
point), point 2 (minimum), and point 3 (right inflection point) are calculated to be 39.9, 47.6, and 54.8 nm, respectively. This observation is consistent with that observed on plasmonic nanoparticles that the inflection point at the right side of the peak of the extinction/valley of transmittance spectrum yields a larger shift. Therefore, we believe that this novel mathematical method opens an avenue to enhance the sensitivity of plasmonic sensors. From these observations, it is evident that tracking the shift at Point 3 is better than Point 2, regardless of the type of nanoparticles and the cause of the shift (bulk or monolayer refractive index change). Therefore, it is reasonable to expect that the method of tracking shift at Point 3 could further yield a better performance for applications in biological sensing. An assay for matrix metalloproteinase 7 (MMP-7) previously developed in our laboratory7a was employed to evaluate the performance by tracking Point 3. MMP-7 plays a significant role in cell development and in the metastasis of cancers.35 It is significantly up-regulated in many cancers, e.g., lung cancer, gastric cancer, colorectal cancer, and bladder cancer.36 The concentration of MMP-7 also varies with the stages of cancer development; therefore, potentially it is a useful early biomarker for cancer prognosis.37 In addition, it is also an important target for anticancer drugs.38 A synthetic polypeptide (JR2EC) with two cleavage sites (A-L and A-Q-L) for MMP-7 had been synthesized and its sequence was modified to enable reliable immobilization to AuNPs through a cysteine (SH-containing) residue at position 22.7a,37 Digestion of the polypeptide by MMP-7 reduces its net charge from −5 to −1, which in turn reduces the repulsive force between AuNPs, resulting in massive aggregation of the AuNPs (Figure 6a). The red shift of LSPR spectrum upon aggregation of AuNPs was used to quantify the concentration and activity of MMP-7. Figure 6b shows the extinction spectra of JR2EC functionalized AuNPs incubated with different concentrations of MMP-7 for 4 min. The shift of the extinction spectrum induced by MMP-7 was analyzed with both Point 3 and Point 2. Figure 6c shows the kinetics of the shifts of extinction spectrum at Point 3 (solid squares) and Point 2 (open squares) incubated with MMP-7 at a concentration of 2 μg/mL. Both response curves were fitted with exponential decay function (red curves). It is clear that Point 3 shows larger responses during the catalytic event. Figure 6d shows the shift of extinction spectrum at Point 3 (solid squares) and Point 2 (open squares) for different concentrations of MMP-7 incubated for 4 min. Both calibration curves were fitted well with exponential decay function (red curves). From the two calibration curves, Point 3 clearly demonstrates a larger response than Point 2 across all concentrations of MMP-7. The LOD (limit of detection) calculated using 3 times standard deviation (0.15 nm) for Point 3 and Point 2 are 0.094 and 0.22 μg/mL, respectively. The noise for peak maximum and inflection point are calculated from the 3 times of the standard variations of the LSPR spectra of blank samples. Both peak maximum and inflection point show a standard deviation of ∼0.05 nm. This is an encouraging finding given that the concentration of MMP-7 in cancer patients typically varies between 0.01 and a few μg/mL.36,39 Therefore, the lowering of the LOD offers a significant advantage in early diagnosis. Further improvement on LOD can be made by combining this analysis method with better sensing platforms.
improvement if especially pronounced for the low molecular weight peptide CALNN. As mentioned before, in addition to the traditional plasmonic nanoparticles synthesized by the bottom-up approach, metamaterials have also attracted tremendous interest in biosensing due to the improved sensitivity.33 Metamaterials are virtually well-defined, densely packed periodic structures/patterns, whose optical properties go beyond the limitations of the naturally occurring materials or composites.34 To further explore the applicability of this inflection point method, we tested it with gold metamaterials. A SEM image of the Ushaped nanosized metamaterial made of gold is shown in Figure 5a. The transmission spectra of the metamaterials before (black) and after (red) modification with DNA molecules are shown in Figure 5b.
Figure 5. (a) SEM image of the U-shaped metamaterial, scale bar is 1 μm and (b) transmittance spectra of the U-shaped metamaterial before (black) and after (red) exposure to DNA. (c) Shift at different points induced by DNA adsorption calculated from the spectra in (b).
The DNA molecules were chemically adsorbed onto the gold surface via the thiol group at the terminal. The adsorption of DNA shift the transmittance spectrum of metamaterials toward the red direction. The shifts of the spectra were monitored at the two inflection points around the valley and the valley (minimum) (Figure 5c). Interestingly again, with the same DNA adsorption, the amounts of shift at point 1 (left inflection 239
DOI: 10.1021/acssensors.6b00633 ACS Sens. 2017, 2, 235−242
Article
ACS Sensors
Figure 6. (a) Schematic illustration of the principle of colorimetric sensor for MMP-7. (b) Normalized extinction spectra of peptide functionalized AuNPs incubated with the MMP-7 concentrations of 0 (black), 0.25 (red), 0.5 (blue), 2 (green), and 4 μg/mL (pink), respectively. (c) Shift of Point 3 (solid squares) and Point 2 (open squares) with 2 μg/mL MMP-7 and exponential decay fitted curves (red lines); R2 for Point 2 and Point 3 are 0.9961 and 0.9912, respectively. (d) Shift of Point 3 (solid squares) and Point 2 (open squares) with concentrations of MMP-7 and exponential decay fitted curves (red lines) over time; R2 for Point 2 and Point 3 are 0.9821 and 0.9906, respectively. The error bar is calculated from three independent experiments.
■
■
CONCLUSIONS We demonstrate that the inflection point at the red side of the LSPR peak maximum (Point 3) shows higher refractive index sensitivity than the traditionally used peak maximum (Point 2). A consistent improvement in bulk refractive index sensitivity of 18−55% was observed for six different nanoparticles. Local refractive index changes induced by molecular adsorption to gold nanoparticles and gold metamaterials also confirm the superior performance of the inflection point. The better performance of the inflection point at the red side (Point 3) originates from the change in shape of LSPR peak in response to an increase of the local refractive index. We further demonstrate with a colorimetric sensor for Matrix MetalloProteinase 7 that the inflection point approach offers a LOD is 0.094 μg/mL while with the peak maximum shift gives a LOD of 0.22 μg/mL. This improvement in LOD is very encouraging as it offers early diagnosis of certain cancers. We believe that this method also can be used as a general method for tracking minute shifts/responses in other analytical applications.
■
AUTHOR INFORMATION
Corresponding Author
* E-mail:
[email protected]. Tel: (+65) 6316 2957. ORCID
Bo Liedberg: 0000-0003-2883-6953 Notes
The authors declare no competing financial interest.
■
ACKNOWLEDGMENTS This work was supported by the School of Materials Science and Engineering and the Provost office and the Nanomedicine institute and iFood institute, Nanyang Technological University, Singapore and Ministry of Education, Singapore through MOE-2014-T1-001-133.
■
REFERENCES
(1) Odom, T. W.; Schatz, G. C. Introduction to Plasmonics. Chem. Rev. 2011, 111 (6), 3667−3668. (2) (a) Anker, J. N.; Hall, W. P.; Lyandres, O.; Shah, N. C.; Zhao, J.; Van Duyne, R. P. Biosensing with plasmonic nanosensors. Nat. Mater. 2008, 7 (6), 442−453. (b) Mayer, K. M.; Hafner, J. H. Localized Surface Plasmon Resonance Sensors. Chem. Rev. 2011, 111 (6), 3828− 3857. (3) (a) Elghanian, R.; Storhoff, J. J.; Mucic, R. C.; Letsinger, R. L.; Mirkin, C. A. Selective colorimetric detection of polynucleotides based on the distance-dependent optical properties of gold nanoparticles. Science 1997, 277 (5329), 1078. (b) Cheng, X. R.; Hau, B. Y. H.; Endo, T.; Kerman, K. Au nanoparticle-modified DNA sensor based on simultaneous electrochemical impedance spectroscopy and localized surface plasmon resonance. Biosens. Bioelectron. 2014, 53 (0), 513− 518.
ASSOCIATED CONTENT
S Supporting Information *
The Supporting Information is available free of charge on the ACS Publications website at DOI: 10.1021/acssensors.6b00633. First and second order derivative spectra of 40 nm AuNPs in different solvents, extinction spectra of all the nanoparticles measured in solvents with different refractive indices, noise analysis (PDF) 240
DOI: 10.1021/acssensors.6b00633 ACS Sens. 2017, 2, 235−242
Article
ACS Sensors (4) (a) Lambertz, C.; Martos, A.; Henkel, A.; Neiser, A.; Kliesch, T.T.; Janshoff, A.; Schwille, P.; Sönnichsen, C. Single Particle Plasmon Sensors as Label-Free Technique To Monitor MinDE Protein Wave Propagation on Membranes. Nano Lett. 2016, 16 (6), 3540−3544. (b) Jeong, H.-H.; Erdene, N.; Park, J.-H.; Jeong, D.-H.; Lee, H.-Y.; Lee, S.-K. Real-time label-free immunoassay of interferon-gamma and prostate-specific antigen using a Fiber-Optic Localized Surface Plasmon Resonance sensor. Biosens. Bioelectron. 2013, 39 (1), 346− 351. (c) Zhou, W.; Ma, Y.; Yang, H.; Ding, Y.; Luo, X. A label-free biosensor based on silver nanoparticles array for clinical detection of serum p53 in head and neck squamous cell carcinoma. Int. J. Nanomed. 2011, 6 (1), 381−386. (d) Aćimović, S. S.; Ortega, M. A.; Sanz, V.; Berthelot, J.; Garcia-Cordero, J. L.; Renger, J.; Maerkl, S. J.; Kreuzer, M. P.; Quidant, R. LSPR Chip for Parallel, Rapid, and Sensitive Detection of Cancer Markers in Serum. Nano Lett. 2014, 14 (5), 2636−2641. (e) Pallarola, D.; Schneckenburger, M.; Spatz, J. P.; Pacholski, C. Real-time monitoring of electrochemical controlled protein adsorption by a plasmonic nanowire based sensor. Chem. Commun. 2013, 49 (75), 8326−8328. (f) Tan, Y. N.; Su, X.; Zhu, Y.; Lee, J. Y. Sensing of transcription factor through controlled-assembly of metal nanoparticles modified with segmented DNA elements. ACS Nano 2010, 4 (9), 5101−5110. (g) Liu, X. H.; Wang, Y.; Chen, P.; McCadden, A.; Palaniappan, A.; Zhang, J.; Liedberg, B. Peptide functionalized gold nanoparticles with optimized particle size and concentration for colorimetric assay development - detection of cardiac troponin I. ACS Sensors 2016, 1, 1416. (5) (a) Xie, L.; Yan, X.; Du, Y. An aptamer based wall-less LSPR array chip for label-free and high throughput detection of biomolecules. Biosens. Bioelectron. 2014, 53 (0), 58−64. (b) Brigo, L.; Michieli, N.; Artiglia, L.; Scian, C.; Rizzi, G. A.; Granozzi, G.; Mattei, G.; Martucci, A.; Brusatin, G. Silver Nanoprism Arrays Coupled to Functional Hybrid Films for Localized Surface Plasmon Resonance-Based Detection of Aromatic Hydrocarbons. ACS Appl. Mater. Interfaces 2014, 6 (10), 7773−7781. (6) (a) Hall, W. P.; Anker, J. N.; Lin, Y.; Modica, J.; Mrksich, M.; Van Duyne, R. P. A Calcium-Modulated Plasmonic Switch. J. Am. Chem. Soc. 2008, 130 (18), 5836−5837. (b) Du, J.; Zhu, B.; Chen, X. Urine for Plasmonic Nanoparticle-Based Colorimetric Detection of Mercury Ion. Small 2013, 9 (24), 4104−4111. (7) (a) Chen, P.; Selegård, R.; Aili, D.; Liedberg, B. Peptide Functionalized Gold Nanoparticles for Colorimetric Detection of Matrilysin (MMP-7) Activity. Nanoscale 2013, 5, 8973−8976. (b) Chandrawati, R.; Stevens, M. M. Controlled assembly of peptide-functionalized gold nanoparticles for label-free detection of blood coagulation Factor XIII activity. Chem. Commun. 2014, 50, 5431−5434. (8) Jiang, Y.; Zhao, H.; Zhu, N.; Lin, Y.; Yu, P.; Mao, L. A Simple Assay for Direct Colorimetric Visualization of Trinitrotoluene at Picomolar Levels Using Gold Nanoparticles. Angew. Chem. 2008, 120 (45), 8729−8732. (9) (a) Sun, J.; Ge, J.; Liu, W.; Wang, X.; Fan, Z.; Zhao, W.; Zhang, H.; Wang, P.; Lee, S.-T. A facile assay for direct colorimetric visualization of lipopolysaccharides at low nanomolar level. Nano Res. 2012, 5 (7), 486−493. (b) Liu, X.; Wang, Y.; Chen, P.; Wang, Y.; Zhang, J.; Aili, D.; Liedberg, B. Biofunctionalized Gold Nanoparticles for Colorimetric Sensing of Botulinum Neurotoxin A Light Chain. Anal. Chem. 2014, 86 (5), 2345−2352. (10) (a) Wadell, C.; Nugroho, F. A. A.; Lidström, E.; Iandolo, B.; Wagner, J. B.; Langhammer, C. Hysteresis-Free Nanoplasmonic Pd− Au Alloy Hydrogen Sensors. Nano Lett. 2015, 15 (5), 3563−3570. (b) Nugroho, F. A. A.; Xu, C.; Hedin, N.; Langhammer, C. UV− Visible and Plasmonic Nanospectroscopy of the CO2 Adsorption Energetics in a Microporous Polymer. Anal. Chem. 2015, 87 (20), 10161−10165. (11) (a) Liedberg, B.; Nylander, C.; Lunström, I. Surface plasmon resonance for gas detection and biosensing. Sens. Actuators 1983, 4, 299−304. (b) Haes, A.; Van Duyne, R. A unified view of propagating and localized surface plasmon resonance biosensors. Anal. Bioanal. Chem. 2004, 379 (7), 920−930.
(12) Liu, Y.; Carpenter, A.; Yuan, H.; Zhou, Z.; Zalutsky, M.; Vaidyanathan, G.; Yan, H.; Vo-Dinh, T. Gold nanostar as theranostic probe for brain tumor sensitive PET-optical imaging and image-guided specific photothermal therapy. Cancer Res. 2016, 76, 4213−4213. (13) Kawawaki, T.; Shinjo, N.; Tatsuma, T. Backward-scatteringbased localized surface plasmon resonance sensors with gold nanospheres and nanoshells. Anal. Sci. 2016, 32 (3), 271−274. (14) Shen, Y.; Zhou, J.; Liu, T.; Tao, Y.; Jiang, R.; Liu, M.; Xiao, G.; Zhu, J.; Zhou, Z.-K.; Wang, X.; Jin, C.; Wang, J. Plasmonic gold mushroom arrays with refractive index sensing figures of merit approaching the theoretical limit. Nat. Commun. 2013, 4, 2381. (15) Im, H.; Bantz, K. C.; Lee, S. H.; Johnson, T. W.; Haynes, C. L.; Oh, S.-H. Self-Assembled Plasmonic Nanoring Cavity Arrays for SERS and LSPR Biosensing. Adv. Mater. 2013, 25 (19), 2678−2685. (16) Martinsson, E.; Shahjamali, M. M.; Enander, K.; Boey, F.; Xue, C.; Aili, D.; Liedberg, B. Local Refractive Index Sensing Based on Edge Gold-Coated Silver Nanoprisms. J. Phys. Chem. C 2013, 117 (44), 23148−23154. (17) Jackman, J. A.; Spackova, B.; Linardy, E.; Kim, M. C.; Yoon, B. K.; Homola, J.; Cho, N.-J. Nanoplasmonic ruler to measure lipid vesicle deformation. Chem. Commun. 2016, 52 (1), 76−79. (18) Jackman, J. A.; Linardy, E.; Yoo, D.; Seo, J.; Ng, W. B.; Klemme, D. J.; Wittenberg, N. J.; Oh, S.-H.; Cho, N.-J. Plasmonic Nanohole Sensor for Capturing Single Virus-Like Particles toward Virucidal Drug Evaluation. Small 2016, 12 (9), 1159−1166. (19) Nugroho, F. A. A.; Iandolo, B.; Wagner, J. B.; Langhammer, C. Bottom-Up Nanofabrication of Supported Noble Metal Alloy Nanoparticle Arrays for Plasmonics. ACS Nano 2016, 10 (2), 2871− 2879. (20) Martinsson, E.; Sepulveda, B.; Chen, P.; Elfwing, A.; Liedberg, B.; Aili, D. Optimizing the Refractive Index Sensitivity of Plasmonically Coupled Gold Nanoparticles. Plasmonics 2014, 9 (4), 773−780. (21) Ferhan, A. R.; Kim, D.-H. Nanoparticle polymer composites on solid substrates for plasmonic sensing applications. Nano Today 2016, 11 (4), 415−434. (22) (a) Olson, J.; Manjavacas, A.; Basu, T.; Huang, D.; Schlather, A. E.; Zheng, B.; Halas, N. J.; Nordlander, P.; Link, S. High Chromaticity Aluminum Plasmonic Pixels for Active Liquid Crystal Displays. ACS Nano 2016, 10 (1), 1108−1117. (b) Pirzadeh, Z.; Pakizeh, T.; Miljkovic, V.; Langhammer, C.; Dmitriev, A. Plasmon−Interband Coupling in Nickel Nanoantennas. ACS Photonics 2014, 1 (3), 158− 162. (c) Sugawa, K.; Tahara, H.; Yamashita, A.; Otsuki, J.; Sagara, T.; Harumoto, T.; Yanagida, S. Refractive Index Susceptibility of the Plasmonic Palladium Nanoparticle: Potential as the Third Plasmonic Sensing Material. ACS Nano 2015, 9 (2), 1895−1904. (23) (a) Sreekanth, K. V.; Alapan, Y.; ElKabbash, M.; Ilker, E.; Hinczewski, M.; Gurkan, U. A.; De Luca, A.; Strangi, G. Extreme sensitivity biosensing platform based on hyperbolic metamaterials. Nat. Mater. 2016, 15, 621−627. (b) Xu, X.; Peng, B.; Li, D.; Zhang, J.; Wong, L. M.; Zhang, Q.; Wang, S.; Xiong, Q. Flexible Visible−Infrared Metamaterials and Their Applications in Highly Sensitive Chemical and Biological Sensing. Nano Lett. 2011, 11 (8), 3232−3238. (c) Verellen, N.; Van Dorpe, P.; Huang, C.; Lodewijks, K.; Vandenbosch, G. A. E.; Lagae, L.; Moshchalkov, V. V. Plasmon Line Shaping Using Nanocrosses for High Sensitivity Localized Surface Plasmon Resonance Sensing. Nano Lett. 2011, 11 (2), 391−397. (d) Rodríguez-Lorenzo, L.; de La Rica, R.; Á lvarez-Puebla, R. A.; LizMarzán, L. M.; Stevens, M. M. Plasmonic nanosensors with inverse sensitivity by means of enzyme-guided crystal growth. Nat. Mater. 2012, 11 (7), 604−607. (24) King, N. S.; Liu, L.; Yang, X.; Cerjan, B.; Everitt, H. O.; Nordlander, P.; Halas, N. J. Fano Resonant Aluminum Nanoclusters for Plasmonic Colorimetric Sensing. ACS Nano 2015, 9 (11), 10628− 10636. (25) (a) Nusz, G. J.; Marinakos, S. M.; Curry, A. C.; Dahlin, A.; Hook, F.; Wax, A.; Chilkoti, A. Label-Free Plasmonic Detection of Biomolecular Binding by a Single Gold Nanorod. Anal. Chem. 2008, 80 (4), 984−989. (b) Chen, P.; Liedberg, B. Curvature of the Localized Surface Plasmon Resonance Peak. Anal. Chem. 2014, 86 241
DOI: 10.1021/acssensors.6b00633 ACS Sens. 2017, 2, 235−242
Article
ACS Sensors (15), 7399−7405. (c) Aili, D.; Gryko, P.; Sepulveda, B.; Dick, J. A. G.; Kirby, N.; Heenan, R.; Baltzer, L.; Liedberg, B.; Ryan, M. P.; Stevens, M. M. Polypeptide Folding-Mediated Tuning of the Optical and Structural Properties of Gold Nanoparticle Assemblies. Nano Lett. 2011, 11, 5564−5573. (d) Johansen, K.; Stålberg, R.; Lundström, I.; Liedberg, B. Surface plasmon resonance: instrumental resolution using photo diode arrays. Meas. Sci. Technol. 2000, 11 (11), 1630. (e) Johansen, K.; Lundström, I.; Liedberg, B. Sensitivity deviation: instrumental linearity errors that influence concentration analyses and kinetic evaluation of biomolecular interactions. Biosens. Bioelectron. 2000, 15 (9), 503−509. (26) Aili, D.; Enander, K.; Rydberg, J.; Lundström, I.; Baltzer, L.; Liedberg, B. Aggregation-induced folding of a de novo designed polypeptide immobilized on gold nanoparticles. J. Am. Chem. Soc. 2006, 128 (7), 2194−2195. (27) Carpay, F.; Cense, W. Controlled nucleation for the regulation of the particle size in monodisperse gold suspensions. Nature, Phys. Sci. 1973, 241, 19−20. (28) Yuan, H.; Ma, W.; Chen, C.; Zhao, J.; Liu, J.; Zhu, H.; Gao, X. Shape and SPR Evolution of Thorny Gold Nanoparticles Promoted by Silver Ions. Chem. Mater. 2007, 19 (7), 1592−1600. (29) Sau, T. K.; Murphy, C. J. Room Temperature, High-Yield Synthesis of Multiple Shapes of Gold Nanoparticles in Aqueous Solution. J. Am. Chem. Soc. 2004, 126 (28), 8648−8649. (30) Chen, H.; Kou, X.; Yang, Z.; Ni, W.; Wang, J. Shape- and SizeDependent Refractive Index Sensitivity of Gold Nanoparticles. Langmuir 2008, 24 (10), 5233−5237. (31) Cao, C.; Zhang, J.; Wen, X.; Dodson, S. L.; Dao, N. T.; Wong, L. M.; Wang, S.; Li, S.; Phan, A. T. a.; Xiong, Q. Metamaterials-based label-free nanosensor for conformation and affinity biosensing. ACS Nano 2013, 7 (9), 7583−7591. (32) Lévy, R.; Thanh, N. T.; Doty, R. C.; Hussain, I.; Nichols, R. J.; Schiffrin, D. J.; Brust, M.; Fernig, D. G. Rational and combinatorial design of peptide capping ligands for gold nanoparticles. J. Am. Chem. Soc. 2004, 126 (32), 10076−10084. (33) (a) Kabashin, A.; Evans, P.; Pastkovsky, S.; Hendren, W.; Wurtz, G.; Atkinson, R.; Pollard, R.; Podolskiy, V.; Zayats, A. Plasmonic nanorod metamaterials for biosensing. Nat. Mater. 2009, 8 (11), 867− 871. (b) Pryce, I. M.; Kelaita, Y. A.; Aydin, K.; Atwater, H. A. Compliant metamaterials for resonantly enhanced infrared absorption spectroscopy and refractive index sensing. ACS Nano 2011, 5 (10), 8167−8174. (c) Wang, S.; Zhang, Y.; Zhang, R.; Yu, H.; Zhang, H.; Xiong, Q. High-Order Nonlinearity of Surface Plasmon Resonance in Au Nanoparticles: Paradoxical Combination of Saturable and ReverseSaturable Absorption. Adv. Opt. Mater. 2015, 3 (10), 1342−1348. (d) He, Y.; Lawrence, K.; Ingram, W.; Zhao, Y. Circular dichroism based refractive index sensing using chiral metamaterials. Chem. Commun. 2016, 52 (10), 2047−2050. (34) (a) Soukoulis, C. M.; Wegener, M. Past achievements and future challenges in the development of three-dimensional photonic metamaterials. Nat. Photonics 2011, 5 (9), 523−530. (b) RoyChoudhury, S.; Rawat, V.; Jalal, A. H.; Kale, S.; Bhansali, S. Recent advances in metamaterial split-ring-resonator circuits as biosensors and therapeutic agents. Biosens. Bioelectron. 2016, 86, 595−608. (35) Egeblad, M.; Werb, Z. New functions for the matrix metalloproteinases in cancer progression. Nat. Rev. Cancer 2002, 2 (3), 161−174. (36) (a) Sier, C. F.; Hawinkels, L. J.; Zijlmans, H. J.; Zuidwijk, K.; de Jonge-Muller, E. S.; Ferreira, V.; Hanemaaijer, R.; Mulder-Stapel, A. A.; Kenter, G. G.; Verspaget, H. W. Endothelium specific matrilysin (MMP-7) expression in human cancers. Matrix Biol. 2007, 27 (3), 267−271. (b) Aitken, K. J.; Bägli, D. J. The bladder extracellular matrix. Part I: architecture, development and disease. Nat. Rev. Urol. 2009, 6 (11), 596−611. (c) Maurel, J.; Nadal, C.; Garcia-Albeniz, X.; Gallego, R.; Carcereny, E.; Almendro, V.; Mármol, M.; Gallardo, E.; Maria Augé, J.; Longarón, R.; et al. Serum matrix metalloproteinase 7 levels identifies poor prognosis advanced colorectal cancer patients. Int. J. Cancer 2007, 121 (5), 1066−1071.
(37) Chen, H.; Chen, P.; Huang, J.; Selegård, R.; Platt, M.; Palaniappan, A.; Aili, D.; Tok, A. I. Y.; Liedberg, B. Detection of Matrilysin Activity Using Polypeptide Functionalized Reduced Graphene Oxide Field-Effect Transistor Sensor. Anal. Chem. 2016, 88 (6), 2994−2998. (38) Sparano, J. A.; Bernardo, P.; Stephenson, P.; Gradishar, W. J.; Ingle, J. N.; Zucker, S.; Davidson, N. E. Randomized phase III trial of marimastat versus placebo in patients with metastatic breast cancer who have responding or stable disease after first-line chemotherapy: Eastern Cooperative Oncology Group trial E2196. J. Clin. Oncol. 2004, 22 (23), 4683−4690. (39) Ress, C.; Tschoner, A.; Ciardi, C.; Laimer, M. W.; Engl, J. W.; Sturm, W.; Weiss, H.; Tilg, H.; Ebenbichler, C. F.; Patsch, J. R. Influence of significant weight loss on serum matrix metalloproteinase (MMP)-7 levels. Eur. Cytokine Network 2010, 21, 65−70.
242
DOI: 10.1021/acssensors.6b00633 ACS Sens. 2017, 2, 235−242