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New buffer systems for photopainting of single biomolecules

Christoph Naderer a, Heinrich Krobath b, Dmitry Sivun a, Georgii Gvindzhiliia c, Thomas A. Klar c and Jaroslaw Jacak *a
aSchool of Medical Engineering and Applied Social Sciences, University of Applied Sciences Upper Austria, Garnisonstraße 21, 4020 Linz, Austria. E-mail: jaroslaw.jacak@fh-linz.at
bInstitute of Theoretical Physics, Johannes Kepler University Linz, Altenberger Straße 69, 4040 Linz, Austria
cInstitute of Applied Physics, Johannes Kepler University Linz, Altenberger Straße 69, 4040 Linz, Austria

Received 4th August 2023 , Accepted 3rd October 2023

First published on 7th October 2023


Abstract

We present newly developed buffer systems that significantly improve the efficiency of a photochemically induced surface modification at the single molecule level. Buffers with paramagnetic cations and radical oxygen promoting species facilitate laser-assisted protein adsorption by photobleaching (LAPAP) of single fluorescently labelled oligonucleotides or biotin onto multi-photon-lithography-structured 2D and 3D acrylate scaffolds. Single molecule fluorescence microscopy has been used to quantify photopainting efficiency. We identify specific cation interaction sites for members of the cyanine, coumarin and rhodamine classes of fluorophores using quantum mechanical calculations. We show that our buffer systems provide an up to three-fold LAPAP-efficiency increase for the cyanine fluorophore, while keeping excitation parameters constant.


1 Introduction

Photopatterning techniques are attracting increasing interest due to their widespread applications in lithography, biointerfaces, and microfluidics.1–3 Manipulation of surface functionalities is important for applications involving adaptive surface properties.4–14 Surfaces that can regulate biological functions by stimuli-responsive compounds allow the control of molecular uptake, manipulation of cell adhesion and sensing,12,15–26 or the induction of protein denaturation.27,28 Physical and chemical properties can be (ir-)reversibly tuned under a stimulus such as light, temperature, chemicals, pH, or an electric field.29–40 Light provides high spatio-temporal resolution to control the functions of such surfaces without a direct contact. This is achieved by photoisomerization, -coupling or -cleavage through chemical bond breakage/formation,20,41–48 or addition of photo-switchable molecules such as azobenzene,49–55 spiropyran,56–58 dithienylethene,59,60 and molecular shuttles.61–63 Such photo-switchable modifications can be switched between multiple molecular states via light irradiation.64–69

There is a continuing need for biologically active molecular concentration gradients or local, precise surface modifications to decipher cellular functions in vitro.70–72 One possibility to improve the modification quality of the surface is irreversible patterning via laser-assisted protein adsorption by photobleaching (LAPAP).73 Here, photopainting is introduced by intentional bleaching of fluorophores, where the formed radicals subsequently bind to the surface. LAPAP has been introduced using lamps and photomasks to covalently bind biotin-4-fluorescein (B4F) to bovine serum albumin (BSA) adsorbed on a glass surface for surface functionalization.74 These experiments yielded resolution-limited molecular patterns. Recently, the resolution has been extended to the nanoscale by combining LAPAP and nanostructured polymeric anchors fabricated via stimulated emission depletion (STED) nanolithography.75,76

Our motivation to improve the LAPAP efficiency was driven by spectroscopic studies by Stennett et al. and Ciuba et al.77,78 It has been demonstrated that for TAMRA, Cy3/Cy3B and Cy5 in aqueous solvent, Mn2+ in the solution increases the intersystem crossing (ISC) efficiency. Related studies on the applicability of cyanine dyes show that they reversibly switch between a fluorescent state and a dark state when illuminated at different wavelengths.79,80

In the context of LAPAP, photobleaching and radical formation can be induced using paramagnetic transition metal- (e.g. Zn2+) or heavy metal ions (e.g. iodine) as well as ROS-promotors.81–83 The role of ROS in the photobleaching process of several classes of fluorophores fostered the idea of using photoactive molecules as ROS promoters for increased photopainting efficiency.84 Water soluble porphyrin is a well-known ROS promoter, due to singlet oxygen formation.85–88

In this work, we present new buffer systems for improved LAPAP patterning efficiency. We characterise the effect of Mn2+ as well as ruthenium porphyrin (RuPo) on three fluorophore class representatives by optimizing buffer systems for single-molecule LAPAP.

Our buffer systems enhance the efficiency for single molecule LAPAP (smLAPAP) on Multi-Photon Lithography (MPL) structured scaffolds. Experiments with representatives of cyanine- (Cy3), coumarin- (ATTO 390) and rhodamine- (ATTO 514) fluorophores have been performed. The interaction of Mn2+ has been corroborated by quantum mechanical calculations yielding optimal fluorophore/Mn2+ complexes with specific ion binding sites. Using our optimized buffers, single oligonucleotides and biotins have been photopainted efficiently on 2D/3D acrylate scaffolds with low unspecific surface adsorption. Photopainting efficiency has been confirmed using single molecule fluorescence microscopy (SMFM).

2 Experimental section

2.1 Materials and methods

2.1.1 Structuring and photoresist. For multi-photon lithography (MPL), a mixture of the monomers Ormocomp89,90 (Micro Resist Technology, Germany) and poly(ethylene glycol) diacrylate (PEGDA, Mn = 575, Sigma Aldrich, USA) was used in a 4[thin space (1/6-em)]:[thin space (1/6-em)]1 mass ratio. 1 wt% of Irgacure 819 (Sigma Aldrich, USA) was added as photoinitiator.
2.1.2 Chemicals. Bovine serum albumin (BSA, Sigma Aldrich) was used for surface passivation. LAPAP was performed with Cy3 conjugated to the model oligonucleotide NP77 (ref. 91) (sequence: CGC TAG ACT AGT ACA ATT GGC AGA CTG CCT TGA TCG GTA CGA ACA GAT CGC GTC AGG TAT, 3′ modification: C6-spacer amino modification – Cy3 carboxylic acid) (Cy3-NP77, Microsynth AG, Switzerland) (“Cy-LAPAP”), ATTO 390 conjugated to biotin (ATTO390-biotin, ATTO-TEC GmbH, Germany) (“Cou-LAPAP”) and ATTO 514 conjugated to biotin (ATTO514-biotin, ATTO-TEC GmbH, Germany) (“Rho-LAPAP”). For visualization of the fluorophore–biomolecule conjugates bound via LAPAP, ATTO 647N conjugated to the complementary oligonucleotide cNP77 (sequence: ATA CCT GAC GCG ATC TGT TCG TAC CGA TCA AGG CAG TCT GCC AAT TGT ACT AGT CTA GCG, 5′ modification: C6-spacer amino modification – ATTO 647N) (ATTO647N-cNP77, Microsynth AG, Switzerland) was used for Cy-LAPAP and ATTO 655 conjugated to streptavidin (ATTO655-SA, ATTO-TEC GmbH, Germany) was used for Cou-LAPAP and Rho-LAPAP. Ethylenediamine tetra acetic acid disodium salt (EDTA) (Roth, Germany) dissolved in double-distilled water and phosphate buffered saline (PBS) were used for washing the sample.
2.1.3 Buffer systems. Buffer I consisted of double-distilled water (Labochem, Germany) (Cy-LAPAP) or PBS (Cou-LAPAP, Rho-LAPAP). Buffer II consisted of buffer I with 2.5 mM manganese(II)-chloride tetrahydrate (MnCl2·4H2O, “Mn2+”) (Sigma Aldrich, USA). Buffer III consisted of buffer II with 1 μM tris-(2,2′-bipyridyl)-ruthenium(II)-chloride hexahydrate (C30H24Cl2N6 Ru·6H2O, “RuPo”) (Sigma Aldrich, USA).

2.2 Lithography setup

MPL was performed with a customized lithography system (Workshop Of Photonics (WOP), Lithuania) using an ultra-short pulsed laser at 515 nm (CARBIDE, 1 MHz repetition rate, >290 fs pulse duration, Light Conversion) and a 3-axis stage (AEROTECH Nanopositioner, USA) for sample movement, as described previously.92 The same instrument was used for imaging in a confocal configuration. The scattered light was collected using an Avalanche PhotoDiode (APD) (PDM, Micro Photon Devices, Italy) operated with a custom-made software (λexc = 515 nm fs pulsed, I = 5 μW). MPL, imaging, and LAPAP were performed with an oil objective lens (63×, 1.4 NA, Zeiss, Germany).

2.3 Single molecule fluorescence microscopy (SMFM)

Fluorescence images were acquired using a modified Olympus IX81. A nanometre precision XYZ piezo stage (Physik Instrumente GmbH, Germany) on top of a mechanical stage with 1 × 1 cm range (JPK Instruments, Germany) was used for sample positioning. The sample was illuminated through a 60× magnification objective lens (60×, 1.42 NA, Olympus, Austria) and an additional 1.6× magnification tube lens with a 642 nm diode laser (Omicron, Germany). A dichroic filter (ZT405/488/561/640rpc, Chroma, Germany), an emission filter (446/523/600/677 nm BrightLine quad-band band-pass filter, Semrock, USA), and an additional emission filter (HQ 700/75 M, NC209774, Chroma, Germany) were used for imaging of the probes of the immobilized fluorophore–biomolecule conjugates (ATTO647N-cNP77 for Cy-LAPAP and ATTO655-SA for Cou-LAPAP and Rho-LAPAP). The fluorescence signal was detected using an Andor iXonEM+ 897 (back illuminated) EMCCD camera (16 μm pixel size) (Andor Technology, United Kingdom).93 1500 images were recorded with 20 ms illumination time and 4.15 kW cm−2 excitation intensity at λexc = 640 nm.

2.4 Sample preparation

Two- and three-dimensional MPL acrylate scaffolds (photoresist described above) were prepared with an excitation intensity of 42 GW cm−2 at a 1 mm s−1 writing speed and developed by rinsing the sample with acetone (Roth, Germany) (air-dried). Surface passivation was achieved via incubation with 2% BSA solution in PBS for 1 h at 4 °C. The remaining BSA was washed out in 3 washing steps with PBS.

We prepared solutions of: 1 μM Cy3-NP77 oligonucleotide (Cy-LAPAP), 50 μM ATTO390-biotin (Cou-LAPAP) and 20 μM ATTO514-biotin (Rho-LAPAP) for LAPAP. Positioning of the laser's focal spot during LAPAP was achieved by detecting the backscattered signal from the interface between the acrylate scaffold and the surrounding solution using the confocal imaging system. LAPAP was performed at 515 nm excitation wavelength at 85 GW cm−2 excitation intensity, 3000 pulses per spot with a pulse length of 1 ps for Cy-LAPAP, 40 GW cm−2 excitation intensity, 10[thin space (1/6-em)]000 pulses per spot with a pulse length of 1.5 ps for Cou-LAPAP, 530 kW cm−2 excitation intensity, 10[thin space (1/6-em)]000 pulses per spot with a pulse length of 1.5 ps for Rho-LAPAP and 40 GW cm−2 excitation power, 5500 pulses per spot with a pulse length of 1.5 ps for Cy-LAPAP on 3D acrylate scaffolds. Each LAPAP setup was tested with buffers I, II and III. In case of buffers II and III, the sample was washed with a 1 mM EDTA in ddH2O once after the LAPAP procedure and washed thoroughly with PBS subsequently. Prior to imaging, the sample was incubated with 10 nM ATTO647N-cNP77 for 10 seconds (Cy-LAPAP) and 20 nM ATTO655-SA for 20 seconds (Cou-LAPAP, Rho-LAPAP) to reveal surface-bound oligonucleotides/biotins and was afterwards thoroughly washed with PBS.

2.5 Data analysis

To obtain the luminescence intensity from single molecules, a glass coverslip with sparsely distributed ATTO647N-cNP77 (corresponding to single emitter signal) or ATTO655-SA (multiple labels/SA) was imaged. The signal intensity was analysed using ImageJ;94 the mean single molecule intensity (SMI) was calculated (n = 40 single molecules analysed across 5 samples for each fluorophore). The SMI was applied to calculate the number of bound molecules (BM) on the MPL structures per pixel, by dividing the measured fluorescence intensity of the LAPAP spots on the structure by the SMI. The LAPAP-efficiency was calculated by dividing the number of fluorescent LAPAP spots along a 30 μm line by the total number of illuminated LAPAP spots (max. 15 LAPAP spots, separated by 2 μm). BM and LAPAP-efficiency were analysed on n = 45 images on n = 135 scaffolds.

The calculation of the position accuracy and the single molecule localization analysis was performed using 3DStormTools.93,95

2.6 Structural optimization of fluorophore/Mn2+ complexes

To identify potential binding sites for Mn2+ in Cy3, ATTO 390, and ATTO 514 fluorophores, we first constructed the fluorophore structures obtained from the retailer (see Chemicals section) in Avogadro.96 After a conjugate gradient potential energy minimization in Avogadro using universal force field (UFF),97 the resulting structures were optimized using density functional theory (DFT) with the B3LYP hybrid exchange correlation functional98–100 and the aug-cc-pVDZ basis set101–103 in implicit water at standard conditions (εr = 80.2104) using the integral equation formalism – polarizable continuum model (IEF-PCM) method.105 In IEF-PCM, UFF atomic radii were used for the calculation of molecular exclusion volumes. Cy3 and ATTO 390 were both modelled in their singlet ground state with zero net charge. ATTO 514 was modelled as a singlet with net charge +e. All DFT calculations were carried out using QCHEM v 5.41.106

In the second step, these optimized structures were used to calculate the electrostatic potential around the respective fluorophore in implicit water on a cubic grid with a maximum distance of 0.8 nm to any atom in the molecule. Using the chemical electrostatic potential – Boltzmann weighted (CHELP-BOW) method,107 we fitted atomic partial charges to the nuclear positions in the fluorophore that best reproduce the recorded electrostatic potential. By looking out for spatially clustered negative partial charges, we identified potential interaction sites for Mn2+ in the fluorophores.

To confirm our results from the partial charge fitting procedure, we placed Mn2+ directly in the proximity of the putative binding sites and performed another DFT potential energy optimization procedure with the same approach as described above. In these calculations, each Mn2+ carried a net charge of +2e and was assumed to be in the high spin state with five unpaired electrons. The high spin assumption can be justified by the spectroscopically identified ground state of the observed octahedral coordination of the [Mn(H2O)6]2+ complex,108,109 which is also observed during complexation with biomolecules.78

For Cy3 and ATTO 390, the investigated ion–fluorophore complexes were sextets with a net charge of +2e. On the other hand, ATTO 514 which binds two Mn2+, had a net charge of +5e and ten unpaired electrons. The optimized ion–fluorophore complexes were visualized and analysed using UCSF Chimera v 1.16.110

3 Results

The newly developed buffer-systems have been tested for LAPAP using cyanine-, coumarin- and rhodamine-fluorophores conjugated to oligonucleotides or biotins. A sketch of the experiment is shown in Fig. 1a–f. 2D/3D MPL-structured acrylate scaffolds were used as a substrate for biomolecule immobilization. Prior to LAPAP, the glass substrate was passivated with a 2% solution of BSA next to 2D/3D MPL-acrylate scaffolds (ESI Fig. S4). For single-molecule LAPAP (smLAPAP), the short-pulsed excitation beam was precisely positioned at the scaffold interface, and its duration, intensity and number of pulses were adapted to immobilize single biomolecules on the scaffold.
image file: d3lf00125c-f1.tif
Fig. 1 Schematic representation of the 2D acrylate scaffold functionalization via LAPAP at a single molecule level (smLAPAP). (a) A 2D acrylate scaffold (4[thin space (1/6-em)]:[thin space (1/6-em)]1 weight ratio Ormocomp[thin space (1/6-em)]:[thin space (1/6-em)]PEGDA, 1 wt% Irgacure 819) was prepared via MPL on glass substrate. (b) Passivation of the surrounding glass substrate with BSA. (c) Incubation with Cy3 conjugated to NP77- (Cy3-NP77) model oligonucleotide and photobleaching of the fluorophores in the focal spot of the laser (515 nm) (LAPAP). (d) After washing, only bleached fluorophores bound to the polymer-substrate remain on the scaffold. (e) Incubation with ATTO 647N labelled cNP77 (ATTO647N-cNP77) complementary oligonucleotide. (f) Immobilized oligonucleotide helix on the polymer surface. (g) Oligonucleotide helix composed of NP77 and cNP77. Sketches are not to drawn scale.

The impact of the new buffers on the dye-dependent smLAPAP efficiency was assessed via a quantitative single molecule fluorescence microscopy (SMFM) based analysis method. Precisely, the number of bound biomolecules (BM) was calculated by forming the ratio of the average fluorescence intensity within the illuminated LAPAP area and the mean single molecule intensity (SMI) (BM = mean intensity LAPAP area/SMI). The LAPAP-efficiency was calculated by dividing the number of fluorescent LAPAP spots by the total number of illuminated LAPAP spots. Fluorescence intensity calibration control experiments were independently performed to estimate the intensities of single ATTO647N-cNP77 and ATTO655-SA, which were used as probes to reveal the LAPAP immobilized biomolecules (see Materials and methods).

More specifically, for Cy-LAPAP, we immobilized a cyanine derivative (Cy3) conjugated to an NP77-model oligonucleotide (Cy3-NP77) on the acrylate scaffold. The immobilized oligonucleotides were detected by incubation with the fluorescently labelled complementary cNP77 oligonucleotide (ATTO647N-cNP77). For Cou-LAPAP we used a coumarin derivative (ATTO 390) conjugated to a biotin (ATTO390-biotin). For Rho-LAPAP we used a rhodamine derivative (ATTO 514) conjugated to a biotin (ATTO514-biotin). The immobilized biotins (Cou-LAPAP, Rho-LAPAP) were detected with ATTO 655 conjugated to a streptavidin (ATTO655-SA) and imaged by SMFM.

Ciuba et al.78 have previously shown that buffers containing paramagnetic transition metal ions (e.g. Mn2+) have a pronounced effect on photobleaching driven by enhanced ISC. In addition to Mn2+, we have investigated the effect of a co-initiator that promotes radical formation, i.e., bleaching, of the fluorophore via enhanced singlet state oxygen formation. As a co-initiator, tris-(2,2′-bipyridyl)-ruthenium(II)-chloride hexahydrate (RuPo) has been chosen, which is an efficient singlet oxygen generator111–113 with an absorption spectrum matching the LAPAP excitation wavelength114 (see ESI Table S5 for presumed 1-photon or 2-photon absorption).

Therefore, we have developed two new buffer systems containing Mn2+ and Mn2+ + RuPo, respectively. Buffer I consists either of double-distilled water (Cy-LAPAP) or PBS (Cou-LAPAP, Rho-LAPAP). Buffer II consists of Mn2+ in buffer I. Buffer III consists of Mn2+ and RuPo in buffer I. All in all, we have tested three fluorophore classes with three buffers (see Materials and methods).

In a first step, the patterning capabilities were tested on 2D acrylate scaffolds. The scaffolds (10 × 100 × 2 μm bars with a periodicity of 10 μm) consisted of Ormocomp89 and poly(ethylene glycol)diacrylate (PEGDA, weight ratio 4[thin space (1/6-em)]:[thin space (1/6-em)]1) (see ESI Fig. S1).

For precise positioning of the photobleaching laser beam on the polymer surface, the interface was determined by detecting the light scattered from the polymer/buffer interface. For that, our MPL lithography setup has been used in confocal imaging mode.92 Positioning in axial-direction (sub-100 nm) of the excitation point spread function (PSF) on the polymer surface, laser intensity and pulse duration were adjusted. For LAPAP optimization, parameters such as BM and LAPAP-efficiency were evaluated for each experiment (see Fig. 2).


image file: d3lf00125c-f2.tif
Fig. 2 LAPAP on 2D scaffolds. 3 buffer systems (buffer I: neat water for Cy-LAPAP and PBS for Cou-LAPAP and Rho-LAPAP; buffer II: buffer I + Mn2+; buffer III: buffer I + Mn2+ + RuPo) with different fluorophore families were tested for LAPAP. Immobilized molecules were confirmed with ATTO647N-cNP77 and ATTO655-SA, respectively. (a) Cy-LAPAP cyanine dye: Cy3-NP77. With buffer I, 1.01 ± 0.35 BM at LAPAP-efficiency of 21% was observed. With buffer II, BM increases to 1.35 ± 0.49 with a LAPAP-efficiency of 24%. Buffer III yielded 1.87 ± 0.64 BM, and an increase of LAPAP-efficiency by three-fold (64%). (b) Cou-LAPAP coumarin dye: ATTO390-biotin. With buffer I, 1.00 ± 0.23 BM at LAPAP-efficiency of 64% was estimated. With buffer II, LAPAP-efficiency increased to 86% and 0.93 ± 0.16 BM. Buffer III yields 1.20 ± 0.23 BM with a LAPAP-efficiency of 90%. (c) Rho-LAPAP rhodamine dye: ATTO514-biotin. With buffer I, 0.91 ± 0.12 BM at LAPAP-efficiency of 48% was determined. With buffer II, LAPAP-efficiency increased to 78% and 0.98 ± 0.20 BM. Buffer III yielded similar results as buffer II. Scale bar for all fluorescence images 2 μm.

For BM estimation, average SMIs of individual ATTO647N-cNP77 and ATTO655-SA probe molecules were determined prior to LAPAP experiments. The SMI of both probe molecules, sparsely distributed on a glass surface, was 357 ± 29 arb.u. and 292 ± 28 arb.u., respectively (see Materials and methods).

Fig. 2 shows the number of bound biomolecules (BM) and the LAPAP efficiencies for all dyes and buffer systems investigated. Hereby, LAPAP-efficiency refers to the percentage of fluorescent spots on the scaffold while BM refers to the average number of bound fluorophores on the scaffold, which do show fluorescence, estimated from the signals in a diffraction-limited LAPAP area (FWHM ∼330 nm, see ESI Fig. S2). As shown in Fig. 2a, Cy-LAPAP with buffer I yielded 1.01 ± 0.35 BM and LAPAP-efficiency of 21% (nimages = 5, nscaffold = 3/image histogram mode = 1). This means, that one out of five LAPAP-modified spots on the scaffold showed some fluorescence and, in those cases, the fluorescence intensity corresponded to that of one fluorophore, on average. Buffer II increased the BM to 1.35 ± 0.49 with 24% LAPAP efficiency (nimages = 4, nscaffold = 3/image, histogram mode = 1). Buffer III yields 1.87 ± 0.64 BM, and LAPAP-efficiency is increased to 64% (nimages = 6, nscaffold = 3/image, histogram mode = 2) (tpulse = 1 ps, 3000 pulses per spot). For Cou-LAPAP with buffer I, we estimated on average 1.00 ± 0.23 BM and LAPAP-efficiency of 64% (nimages = 5, nscaffold = 3/image histogram mode = 1). LAPAP-efficiency increased up to 86% (nimages = 5, nscaffold = 3/image histogram mode = 1) with buffer II while BM remains at 0.96 ± 0.16. Buffer III yielded 1.20 ± 0.23 BM with a LAPAP-efficiency of 90% (nimages = 5, nscaffold = 3/image histogram mode = 2) (tpulse = 1.5 ps, 10[thin space (1/6-em)]000 pulses per spot) (see Fig. 2b). For Rho-LAPAP with buffer I, we estimated 0.91 ± 0.12 BM at LAPAP-efficiency of 48% (nimages = 5, nscaffold = 3/image histogram mode = 1). LAPAP-efficiency increased to 78% and BM at 0.98 ± 0.20 (nimages = 5, nscaffold = 3/image histogram mode = 1) with buffer II. Buffer III yielded similar results to buffer II (nimages = 5, nscaffold = 3/image histogram mode = 1) (tpulse = 1.5 ps, 10[thin space (1/6-em)]000 pulses per spot) (Fig. 2c). For a more comprehensive presentation of the BM within one LAPAP-modified spot, histograms are presented in ESI Fig. S6. In total, 45 images and 135 scaffolds were analysed. ESI Table S4 shows autofluorescence intensities of the acrylate scaffolds. In order to reveal the effect of RuPo on LAPAP, we tested Cy-LAPAP with buffer III without Mn2+ and observed no increase in BM and LAPAP-efficiency (see ESI Fig. S5).

The highest LAPAP-efficiency was achieved for buffer III with Cou-LAPAP yielding up to 90% of functionalized diffraction limited LAPAP illumination areas (see Fig. 2b). The biggest increase in LAPAP-efficiency was observed for Cy-LAPAP. A three-fold increase from 21% to 64% LAPAP-efficiency was observed with buffer III (Fig. 2a).

To identify putative specific Mn2+ interaction sites with unconjugated fluorophores, quantum mechanical DFT calculations were performed with Cy3, ATTO 390 and ATTO 514 (see Materials and methods). As a first step, we calculated the optimal fluorophore structures in implicit water under standard conditions and fitted atomic partial charges to the minimum potential energy structures which reproduce the overall electrostatic potential of the fluorophore (see ESI Table S1 for Cy3, ESI Table S2 for ATTO 390 and ESI Table S3 for ATTO 514). Indeed, our analysis for Cy3 revealed that the four methyl groups attached to the two pyrrole rings of the fluorescent π system carry an overall negative net charge of −0.26e. Therefore, the four methyl groups in Cy3 may provide a weak binding pocket for Mn2+. We tested this hypothesis in silico by directly calculating the optimized Cy3–Mn2+ complex with the Mn2+ ion placed in between the four methyl groups. The Mn2+ established a stable resting distance to the methyl carbons of 0.72 ± 0.04 nm, confirming our Cy3 binding site candidate (see Fig. 3a).


image file: d3lf00125c-f3.tif
Fig. 3 a) Optimized Cy3–Mn2+ complex with distances in Ångström, (b) optimal ATTO 390-Mn2+ and (c) ATTO 514-Mn2+ complexes, respectively, in implicit water (εr = 80.2). In Cy3, the four methyl groups attached to the fluorescent π system interact weakly with the Mn2+. In ATTO 390, the Mn2+ is attracted by the ketone oxygen shown in red, which is directly involved in the fluorophore's π system. In ATTO 514, two hydrogen sulphite groups can electrostatically bind Mn2+, effectively providing a 2[thin space (1/6-em)]:[thin space (1/6-em)]1 binding stoichiometry and potentially perturbing the peripheral, blue-coloured nitrogens of the π system. Mn2+ is shown in purple. Identified binding site atoms are shown in van-der-Waals representation.

For ATTO 390 (see Fig. 3b), our approach identified a negatively charged furan ring oxygen (q = −0.57e) and an even more strongly negatively charged ketone oxygen (q = −0.68e) attached to the furan ring, which is directly connected to the π system. By placing our Mn2+ probe in the proximity of the two oxygens, we found that the ketone oxygen alone can electrostatically bind Mn2+.

Turning our attention to ATTO 514 (see Fig. 3c), we find that the hydrogen sulphite groups attached to the benzene rings of the π system can each bind independently a Mn2+. While the hydrogen sulphite groups structurally stabilize each other by virtue of two hydrogen bonds, the third hydrogen sulphite oxygen carries a charge of −0.41 e and can reliably bind a Mn2+. The Mn2+ is near an amino group, which is directly linked to the ring system and is therefore presumed to affect electron delocalization via the lone nitrogen electron.

In summary, our quantum-mechanical analyses have predicted binding sites for Mn2+ ions based on electrostatics, supporting the idea that direct ion–fluorophore interactions possibly affect LAPAP efficiency.

Overall, the experimental results for Mn2+-containing buffers are consistent with the results published by Ciuba et al.78 The calculations indicate that all fluorophores provide specific interaction sites for cations. These interaction sites are in proximity to the fluorophores' π-system and will most likely affect photobleaching and enhance LAPAP efficiency.

Our buffers allow efficient smLAPAP with 1.4 times reduced excitation intensity compared to standard buffers for tested fluorophore classes (for e.g., Cy3-LAPAP: buffer I: 85 GW cm−2, with buffer III: 60 GW cm−2). At LAPAP excitation intensity settings greater than 90 GW cm−2 (tpulse = 1 ps, 250 pulses per spot) the damage threshold is exceeded, and upon photo damage, the illuminated areas exhibit an unbleachable autofluorescence. In comparison, the “true” LAPAP spots were only visible after incubation and showed a stepwise photobleaching behaviour (see ESI Fig. S3). The combined decrease of photodamage likelihood and excitation intensity for enhanced LAPAP-efficiency in buffer III will allow for a precise adjustment of the required pulse number for consistently bound single molecules. Additionally, a dependence of the damage threshold on the pulse duration and number of pulses was observed. Polymer damage for 1 ps pulses occurred at four times smaller number of pulses compared to 1.5 ps pulses at constant laser output power. To ensure reproducible smLAPAP results for Cou-LAPAP and Rho-LAPAP, the pulse duration was kept at 1.5 ps.

We show promising LAPAP results for 3D MPL-printed acrylate scaffolds. Here, the 3D scaffolds consist of 5 × 100 × 2 μm horizontal grids on top of 5 × 5 × 5 μm pillars. Fig. 4a presents a model and a scanning electron microscopy (SEM) image of the scaffold. Here, we focused the laser beam on the overhanging horizontal bars (green lines in Fig. 4a). The best results for smLAPAP were obtained for tpulse = 1.5 ps and 5500 pulses per spot, as shown in Fig. 4b. The best LAPAP-results were found for Cy-LAPAP and buffer III with an average value of 1.45 ± 0.36 BM (n = 30 spots on 3 technical replicates). No immobilized biomolecules were detected for LAPAP excitation intensities below the damage threshold using buffer I and buffer II and shorter pulse duration.


image file: d3lf00125c-f4.tif
Fig. 4 LAPAP on a 3D scaffold (a) model sketch and SEM image of 3D MPL acrylate scaffold. The laser was focused on the bottom of the hanging horizontal bars (green lines). (b) Fluorescence microscopy image of fluorescent spots on 3D MPL acrylate scaffold. Cy-LAPAP with buffer III was used. An average BM of 1.45 ± 0.36 was calculated. (c) Localized positions of emitters in yellow insert in (b), in the red insert two bound ATTO647N-cNP77 separated by ∼200 nm (average position accuracy PA: 24 ± 5 nm) within one diffraction limited spot are resolved. Gray value scaled to maximum.

Single molecule localization microscopy (SMLM) was applied to confirm the results on single molecule analysis of the BM.115,116 SMLM allows the determination of the emitter position at a sub-50 nm scale, based on the detected PSF of the emitter. To avoid additional aberrations introduced by the polymers, the biomolecules were patterned only on the overhanging parts of the structure.

Fig. 4b shows fluorescence signals of ATTO647N-cNP77 complementing Cy3-NP77 immobilized via LAPAP on a 3D MPL scaffold Fig. 4c illustrates the localized emitters of the 4 spots in the yellow insert in Fig. 4b. In the red insert two ATTO647N-cNP77 are presented. The emitters are separated by ∼200 nm within the LAPAP spot. Each emitter has been localized with an average position accuracy (PA) of 24 ± 5 nm. Single molecule intensity analysis of the same spot confirms this assumption (intensity of spot = 702 arb.u. divided by SMI = 357 ± 29 arb.u. = 1.97 BM).

Conclusions

In summary, we demonstrated that our newly developed buffer systems significantly improve the LAPAP-efficiency and allow for reduced painting power, enabling smLAPAP on MPL structured 2D and 3D acrylate scaffolds. We showed that our buffer systems improve LAPAP efficiency for Cy3, ATTO 514 and ATTO 390.

Increased LAPAP efficiency can be attributed to specific electrostatic Mn2+–fluorophore interactions as previously argued by Ciuba et al.,78 which we characterized in quantum mechanical DFT calculations. More precisely, the calculations predict a rather weak binding pocket for Mn2+ in Cy3, where LAPAP efficiency increases only slightly. For Cou-LAPAP and Rho-LAPAP, where the Mn2+ binding is stronger, the LAPAP efficiency increased from 64% to 86% and from 48% to 78%, respectively. The oligonucleotide-, biotin-modifications have not been considered in the calculations. Additional enhancement of the LAPAP efficiency has always been observed for RuPo-containing buffers. The presented experimental results clearly show the positive influence of paramagnetic transition metal ions and ROS on LAPAP efficiency and could expand its application range as a surface modification tool. Further investigations, in particular spectroscopic and computational studies, will be needed to thoroughly characterize the effects of ligand binding on the photobleaching reaction as well as ISC rates and to further refine the LAPAP-mechanism.

Our results pave the way for future LAPAP applications with low power light sources, including but not limited to surface modifications for biotechnological application for e.g., 3D cell cultures or in vitro assays as well as molecular sensors which require local modifications.

Author contributions

J. J. and C. N. designed the experiments. C. N. performed the experiments and analysed the data. H. K. performed the quantum mechanical calculations. G. G. distributed 2D and 3D scaffolds. D. S. and T. K. helped interpret and analyse the data. C. N. H. K., D. S. and J. J. wrote the manuscript. All authors reviewed and approved the final manuscript.

Conflicts of interest

There are no conflicts to declare.

Acknowledgements

We thank Heidi Piglmayer-Brezina for taking SEM images of the 2D and 3D acrylate scaffolds. We would also like to thank Univ.-Prof. Dr. Thomas Renger for fruitful discussions. We thank Dr. Markus Axmann for proofreading the manuscript. The work was supported by Austrian Science Fund via grant P 31827-B.21.

Notes and references

  1. J. Liu, H. Butt and S. Wu, Reconfigurable Surfaces Based on Photocontrolled Dynamic Bonds, Adv. Funct. Mater., 2020, 30(26), 1907605 CrossRef CAS.
  2. M. S. Abesekara and Y. Chau, Recent advances in surface modification of micro- and nano-scale biomaterials with biological membranes and biomolecules, Front. Bioeng. Biotechnol., 2022, 10, 972790 CrossRef.
  3. L. Jing, P. Yang, X. Lu, H. Tian, J. Mao and J. Li, et al. Photochemical-initiated hydrophobic surface modification by benzophenone derivatives and its application on oil-water separation, Appl. Surf. Sci., 2023, 608, 155125 CrossRef CAS.
  4. S. Wang, K. Liu, X. Yao and L. Jiang, Bioinspired Surfaces with Superwettability: New Insight on Theory, Design, and Applications, Chem. Rev., 2015, 115(16), 8230–8293 CrossRef CAS.
  5. T. Koop, Crystals creeping out of cracks, Proc. Natl. Acad. Sci. U. S. A., 2017, 114(5), 797–799 CrossRef CAS PubMed.
  6. K. Ichimura, S. K. Oh and M. Nakagawa, Light-Driven Motion of Liquids on a Photoresponsive Surface, Science, 2000, 288(5471), 1624–1626 CrossRef CAS.
  7. C. Nicosia and J. Huskens, Reactive self-assembled monolayers: from surface functionalization to gradient formation, Mater. Horiz., 2014, 1(1), 32–45 RSC.
  8. B. Xin and J. Hao, Reversibly switchable wettability, Chem. Soc. Rev., 2010, 39(2), 769–782 RSC.
  9. Y. Lu, S. Sathasivam, J. Song, C. R. Crick, C. J. Carmalt and I. P. Parkin, Robust self-cleaning surfaces that function when exposed to either air or oil, Science, 2015, 347(6226), 1132–1135 CrossRef CAS.
  10. M. Ezazi, B. Shrestha, S. Kim, B. Jeong, J. Gorney and K. Hutchison, et al. Selective Wettability Membrane for Continuous Oil−Water Separation and In Situ Visible Light-Driven Photocatalytic Purification of Water, Global Challenges, 2020, 4(10), 2000009 CrossRef PubMed.
  11. R. Blossey, Self-cleaning surfaces — virtual realities, Nat. Mater., 2003, 2(5), 301–306 CrossRef CAS.
  12. Y. Wang, K. Ma and J. H. Xin, Stimuli-Responsive Bioinspired Materials for Controllable Liquid Manipulation: Principles, Fabrication, and Applications, Adv. Funct. Mater., 2018, 28(6), 1705128 CrossRef.
  13. B. Buchegger, A. Tanzer, S. Posch, C. Gabriel, T. A. Klar and J. Jacak, STED lithography in microfluidics for 3D thrombocyte aggregation testing, J. Nanobiotechnol., 2021, 19(1), 23 CrossRef CAS PubMed.
  14. B. Buchegger, C. Vidal, J. Neuwirth, B. Buchroithner, A. Karner and A. Hochreiner, et al. Gold Nanoislands Grown on Multiphoton Polymerized Structures as Substrate for Enzymatic Reactions, ACS Mater. Lett., 2019, 1(4), 399–403 CrossRef CAS.
  15. S. Guo, D. Jańczewski, X. Zhu, R. Quintana, T. He and K. G. Neoh, Surface charge control for zwitterionic polymer brushes: Tailoring surface properties to antifouling applications, J. Colloid Interface Sci., 2015, 452, 43–53 CrossRef CAS PubMed.
  16. J. Robertus, W. R. Browne and B. L. Feringa, Dynamic control over cell adhesive properties using molecular-based surface engineering strategies, Chem. Soc. Rev., 2010, 39(1), 354–378 RSC.
  17. W. Senaratne, L. Andruzzi and C. K. Ober, Self-Assembled Monolayers and Polymer Brushes in Biotechnology: Current Applications and Future Perspectives, Biomacromolecules, 2005, 6(5), 2427–2448 CrossRef CAS PubMed.
  18. B. Colak, S. Di Cio and J. E. Gautrot, Biofunctionalized Patterned Polymer Brushes via Thiol–Ene Coupling for the Control of Cell Adhesion and the Formation of Cell Arrays, Biomacromolecules, 2018, 19(5), 1445–1455 CrossRef CAS PubMed.
  19. W. Li, Z. Yan, J. Ren and X. Qu, Manipulating cell fate: dynamic control of cell behaviors on functional platforms, Chem. Soc. Rev., 2018, 47(23), 8639–8684 RSC.
  20. Z. Chen, S. He, H. J. Butt and S. Wu, Photon Upconversion Lithography: Patterning of Biomaterials Using Near-Infrared Light, Adv. Mater., 2015, 27(13), 2203–2206 CrossRef CAS PubMed.
  21. A. Sikora, J. Ramón-Azcón, K. Kim, K. Reaves, H. Nakazawa and M. Umetsu, et al. Molecular Motor-Powered Shuttles along Multi-walled Carbon Nanotube Tracks, Nano Lett., 2014, 14(2), 876–881 CrossRef CAS PubMed.
  22. A. L. Hook, N. H. Voelcker and H. Thissen, Patterned and switchable surfaces for biomolecular manipulation, Acta Biomater., 2009, 5(7), 2350–2370 CrossRef CAS PubMed.
  23. L. Zhang, Z. Wang, J. Das, M. Labib, S. Ahmed and E. H. Sargent, et al. Potential-Responsive Surfaces for Manipulation of Cell Adhesion, Release, and Differentiation, Angew. Chem., Int. Ed., 2019, 58(41), 14519–14523 CrossRef CAS PubMed.
  24. P. Wang, Z. Na, J. Fu, C. Y. J. Tan, H. Zhang and S. Q. Yao, et al. Microarray immobilization of biomolecules using a fast trans-cyclooctene (TCO)–tetrazine reaction, Chem. Commun., 2014, 50(80), 11818–11821 RSC.
  25. Y. Hao, H. Cui, J. Meng and S. Wang, Photo-responsive smart surfaces with controllable cell adhesion, J. Photochem. Photobiol., A, 2018, 355, 202–211 CrossRef CAS.
  26. K. Okano, H. Y. Hsu, Y. K. Li and H. Masuhara, In situ patterning and controlling living cells by utilizing femtosecond laser, J. Photochem. Photobiol., C, 2016, 28, 1–28 CrossRef CAS.
  27. H. Nandivada, A. M. Ross and J. Lahann, Stimuli-responsive monolayers for biotechnology, Prog. Polym. Sci., 2010, 35(1–2), 141–154 CrossRef CAS.
  28. F. Guo and Z. Guo, Inspired smart materials with external stimuli responsive wettability: a review, RSC Adv., 2016, 6(43), 36623–36641 RSC.
  29. S. Kumar, Y. L. Dory, M. Lepage and Y. Zhao, Surface-Grafted Stimuli-Responsive Block Copolymer Brushes for the Thermo-, Photo- and pH-Sensitive Release of Dye Molecules, Macromolecules, 2011, 44(18), 7385–7393 CrossRef CAS.
  30. Y. Li, L. He, X. Zhang, N. Zhang and D. Tian, External-Field-Induced Gradient Wetting for Controllable Liquid Transport: From Movement on the Surface to Penetration into the Surface, Adv. Mater., 2017, 29(45), 1703802 CrossRef.
  31. Q. Sun, D. Wang, Y. Li, J. Zhang, S. Ye and J. Cui, et al. Surface charge printing for programmed droplet transport, Nat. Mater., 2019, 18(9), 936–941 CrossRef CAS.
  32. S. Kumar, X. Tong, Y. L. Dory, M. Lepage and Y. Zhao, A CO 2 -switchable polymer brush for reversible capture and release of proteins, Chem. Commun., 2013, 49(1), 90–92 RSC.
  33. H. Liu, Y. Li, K. Sun, J. Fan, P. Zhang and J. Meng, et al. Dual-Responsive Surfaces Modified with Phenylboronic Acid-Containing Polymer Brush To Reversibly Capture and Release Cancer Cells, J. Am. Chem. Soc., 2013, 135(20), 7603–7609 CrossRef CAS.
  34. L. Tauk, A. P. Schröder, G. Decher and N. Giuseppone, Hierarchical functional gradients of pH-responsive self-assembled monolayers using dynamic covalent chemistry on surfaces, Nat. Chem., 2009, 1(8), 649–656 CrossRef CAS.
  35. D. Wang, Y. Liu, S. Sridhar, Y. Li, G. McHale and H. Lu, et al. Biaxially Morphing Droplet Shape by an Active Surface, Adv. Mater. Interfaces, 2021, 8(2), 2001199 CrossRef.
  36. P. J. Hsu, A. Kubetzka, A. Finco, N. Romming, K. von Bergmann and R. Wiesendanger, Electric-field-driven switching of individual magnetic skyrmions, Nat. Nanotechnol., 2017, 12(2), 123–126 CrossRef CAS PubMed.
  37. L. Chen, W. Wang, B. Su, Y. Wen, C. Li and Y. Zhou, et al. A Light-Responsive Release Platform by Controlling the Wetting Behavior of Hydrophobic Surface, ACS Nano, 2014, 8(1), 744–751 CrossRef CAS PubMed.
  38. T. K. Claus, B. Richter, V. Hahn, A. Welle, S. Kayser and M. Wegener, et al. Simultaneous Dual Encoding of Three-Dimensional Structures by Light-Induced Modular Ligation, Angew. Chem., Int. Ed., 2016, 55(11), 3817–3822 CrossRef CAS PubMed.
  39. S. Wang, Y. Song and L. Jiang, Photoresponsive surfaces with controllable wettability, J. Photochem. Photobiol., C, 2007, 8(1), 18–29 CrossRef CAS.
  40. B. Yuan, G. Gou, T. Fan, M. Liu, Y. Ma and R. Matsuda, et al. Delicate and Fast Photochemical Surface Modification of 2D Photoresponsive Organosilicon Metal–Organic Frameworks, Angew. Chem., Int. Ed., 2022, 61(28), e202204568 CrossRef CAS PubMed.
  41. Y. K. Jo, J. M. Lee, S. Son and S. J. Hwang, 2D inorganic nanosheet-based hybrid photocatalysts: Design, applications, and perspectives, J. Photochem. Photobiol., C, 2019, 40, 150–190 CrossRef CAS.
  42. J. Guo, W. Fang, A. Welle, W. Feng, I. Filpponen and O. J. Rojas, et al. Superhydrophobic and Slippery Lubricant-Infused Flexible Transparent Nanocellulose Films by Photoinduced Thiol–Ene Functionalization, ACS Appl. Mater. Interfaces, 2016, 8(49), 34115–34122 CrossRef CAS.
  43. D. Weinrich, M. Köhn, P. Jonkheijm, U. Westerlind, L. Dehmelt and H. Engelkamp, et al. Preparation of Biomolecule Microstructures and Microarrays by Thiol-ene Photoimmobilization, ChemBioChem, 2010, 11(2), 235–247 CrossRef CAS PubMed.
  44. Y. You, W. Zeng, Y. X. Yin, J. Zhang, C. P. Yang and Y. Zhu, et al. Hierarchically micro/mesoporous activated graphene with a large surface area for high sulfur loading in Li–S batteries, J. Mater. Chem. A, 2015, 3(9), 4799–4802 RSC.
  45. S. Arumugam, S. V. Orski, N. E. Mbua, C. McNitt, G. J. Boons and J. Locklin, et al. Photo-click chemistry strategies for spatiotemporal control of metal-free ligation, labeling, and surface derivatization, Pure Appl. Chem., 2013, 85(7), 1499–1513 CrossRef CAS.
  46. R. Nouchi and K.-I. Ikeda, Photochemical reaction on graphene surfaces controlled by substrate-surface modification with polar self-assembled monolayers, Phys. Chem. Chem. Phys., 2020, 22(3), 1268–1275 RSC.
  47. H. Liang, D. Yin, L. Shi, Y. Liu, X. Hu and N. Zhu, et al. Surface modification of cellulose via photo-induced click reaction, Carbohydr. Polym., 2023, 301, 120321 CrossRef CAS.
  48. Y. Niu, X. Yang, J. Li, Y. Zeng, K. Liu and W. Wan, et al. Multidimensional surface patterning based on wavelength-controlled disulfide-diselenide dynamic photochemistry, Mater. Today, 2022, 57, 57–65 CrossRef CAS.
  49. P. Wan, Y. Jiang, Y. Wang, Z. Wang and X. Zhang, Tuning surface wettability through photocontrolled reversible molecular shuttle, Chem. Commun., 2008,(44), 5710 RSC.
  50. N. Crivillers, S. Osella, C. Van Dyck, G. M. Lazzerini, D. Cornil and A. Liscio, et al. Large Work Function Shift of Gold Induced by a Novel Perfluorinated Azobenzene-Based Self-Assembled Monolayer, Adv. Mater., 2013, 25(3), 432–436 CrossRef CAS.
  51. C. Nacci, M. Baroncini, A. Credi and L. Grill, Reversible Photoswitching and Isomer-Dependent Diffusion of Single Azobenzene Tetramers on a Metal Surface, Angew. Chem., Int. Ed., 2018, 57(46), 15034–15039 CrossRef CAS.
  52. D. T. Valley, M. Onstott, S. Malyk and A. V. Benderskii, Steric Hindrance of Photoswitching in Self-Assembled Monolayers of Azobenzene and Alkane Thiols, Langmuir, 2013, 29(37), 11623–11631 CrossRef CAS PubMed.
  53. Y. Zhou, M. Chen, Q. Ban, Z. Zhang, S. Shuang and K. Koynov, et al. Light-Switchable Polymer Adhesive Based on Photoinduced Reversible Solid-to-Liquid Transitions, ACS Macro Lett., 2019, 8(8), 968–972 CrossRef CAS.
  54. A. K. Saydjari, P. Weis and S. Wu, Spanning the Solar Spectrum: Azopolymer Solar Thermal Fuels for Simultaneous UV and Visible Light Storage, Adv. Energy Mater., 2017, 7(3), 1601622 CrossRef.
  55. H. Zhou, C. Xue, P. Weis, Y. Suzuki, S. Huang and K. Koynov, et al. Photoswitching of glass transition temperatures of azobenzene-containing polymers induces reversible solid-to-liquid transitions, Nat. Chem., 2017, 9(2), 145–151 CrossRef CAS.
  56. R. Rosario, D. Gust, M. Hayes, F. Jahnke, J. Springer and A. A. Garcia, Photon-Modulated Wettability Changes on Spiropyran-Coated Surfaces, Langmuir, 2002, 18(21), 8062–8069 CrossRef CAS.
  57. R. Klajn, Spiropyran-based dynamic materials, Chem. Soc. Rev., 2014, 43(1), 148–184 RSC.
  58. L. Florea, K. Wagner, P. Wagner, G. G. Wallace, F. Benito-Lopez and D. L. Officer, et al. Photo-Chemopropulsion – Light-Stimulated Movement of Microdroplets, Adv. Mater., 2014, 26(43), 7339–7345 CrossRef CAS PubMed.
  59. Q. Wang, V. Diez-Cabanes, S. Dell'Elce, A. Liscio, B. Kobin and H. Li, et al. Dynamically Switching the Electronic and Electrostatic Properties of Indium–Tin Oxide Electrodes with Photochromic Monolayers: Toward Photoswitchable Optoelectronic Devices, ACS Appl. Nano Mater., 2019, 2(2), 1102–1110 CrossRef CAS.
  60. C. J. Kloxin, T. F. Scott, H. Y. Park and C. N. Bowman, Mechanophotopatterning on a Photoresponsive Elastomer, Adv. Mater., 2011, 23(17), 1977–1981 CrossRef CAS.
  61. J. Berná, D. A. Leigh, M. Lubomska, S. M. Mendoza, E. M. Pérez and P. Rudolf, et al. Macroscopic transport by synthetic molecular machines, Nat. Mater., 2005, 4(9), 704–710 CrossRef.
  62. H. Hess, J. Clemmens, D. Qin, J. Howard and V. Vogel, Light-Controlled Molecular Shuttles Made from Motor Proteins Carrying Cargo on Engineered Surfaces, Nano Lett., 2001, 1(5), 235–239 CrossRef CAS.
  63. W. R. Browne and B. L. Feringa, Light Switching of Molecules on Surfaces, Annu. Rev. Phys. Chem., 2009, 60(1), 407–428 CrossRef CAS.
  64. S. Arumugam and V. V. Popik, Attach, Remove, or Replace: Reversible Surface Functionalization Using Thiol–Quinone Methide Photoclick Chemistry, J. Am. Chem. Soc., 2012, 134(20), 8408–8411 CrossRef CAS.
  65. X. Du, J. Li, A. Welle, L. Li, W. Feng and P. A. Levkin, Reversible and Rewritable Surface Functionalization and Patterning via Photodynamic Disulfide Exchange, Adv. Mater., 2015, 27(34), 4997–5001 CrossRef CAS PubMed.
  66. J. Sun, R. Lan, Y. Gao, M. Wang, W. Zhang and L. Wang, et al. Stimuli-Directed Dynamic Reconfiguration in Self-Organized Helical Superstructures Enabled by Chemical Kinetics of Chiral Molecular Motors, Adv. Sci., 2018, 5(2), 1700613 CrossRef.
  67. L. Li, W. Feng, A. Welle and P. A. Levkin, UV-Induced Disulfide Formation and Reduction for Dynamic Photopatterning, Angew. Chem., Int. Ed., 2016, 55(44), 13765–13769 CrossRef CAS PubMed.
  68. J. Xia, P. Zhao, K. Zheng, C. Lu, S. Yin and H. Xu, Surface Modification Based on Diselenide Dynamic Chemistry: Towards Liquid Motion and Surface Bioconjugation, Angew. Chem., Int. Ed., 2019, 58(2), 542–546 CrossRef CAS PubMed.
  69. C. Xie, W. Sun, H. Lu, A. Kretzschmann, J. Liu and M. Wagner, et al. Reconfiguring surface functions using visible-light-controlled metal-ligand coordination, Nat. Commun., 2018, 9(1), 3842 CrossRef PubMed.
  70. J. Q. Zheng, M. Felder, J. A. Connor and M. M. Poo, Turning of nerve growth cones induced by neurotransmitters, Nature, 1994, 368, 140–144 CrossRef CAS PubMed.
  71. Z. Pujic, C. E. Giacomantonio, D. Unni, W. J. Rosoff and G. J. Goodhill, Analysis of the growth cone turning assay for studying axon guidance, J. Neurosci. Methods, 2008, 170(2), 220–228 CrossRef.
  72. M. P. McKenna and J. A. Raper, Growth cone behavior on gradients of substratum bound laminin, Dev. Biol., 1988, 130(1), 232–236 CrossRef CAS.
  73. J. M. Bélisle, J. P. Correia, P. W. Wiseman, T. E. Kennedy and S. Costantino, Patterning protein concentration using laser-assisted adsorption by photobleaching, LAPAP, Lab Chip, 2008, 8(12), 2164 RSC.
  74. M. A. Holden and P. S. Cremer, Light Activated Patterning of Dye-Labeled Molecules on Surfaces, J. Am. Chem. Soc., 2003, 125(27), 8074–8075 CrossRef CAS PubMed.
  75. E. Murtezi, S. Puthukodan, J. Jacak and T. A. Klar, Biofunctionalization of Sub-Diffractionally Patterned Polymer Structures by Photobleaching, ACS Appl. Mater. Interfaces, 2018, 10(38), 31850–31854 CrossRef CAS PubMed.
  76. E. Murtezi, S. Puthukodan, B. Buchegger, J. Jacak and T. A. Klar, STED controlled photobleaching for sub-diffractional optical nanopatterning, JPhys Photonics, 2020, 2(4), 044003 CrossRef CAS.
  77. E. M. S. Stennett, G. Kodis and M. Levitus, Photobleaching and Blinking of TAMRA Induced by Mn 2+, ChemPhysChem, 2012, 13(4), 909–913 CrossRef CAS PubMed.
  78. M. A. Ciuba and M. Levitus, Manganese-Induced Triplet Blinking and Photobleaching of Single Molecule Cyanine Dyes, ChemPhysChem, 2013, 14(15), 3495–3502 CrossRef CAS PubMed.
  79. G. T. Dempsey, M. Bates, W. E. Kowtoniuk, D. R. Liu, R. Y. Tsien and X. Zhuang, Photoswitching Mechanism of Cyanine Dyes, J. Am. Chem. Soc., 2009, 131(51), 18192–18193 CrossRef CAS.
  80. S. van de Linde, A. Löschberger, T. Klein, M. Heidbreder, S. Wolter and M. Heilemann, et al. Direct stochastic optical reconstruction microscopy with standard fluorescent probes, Nat. Protoc., 2011, 6(7), 991–1009 CrossRef CAS.
  81. Q. Zheng, S. Jockusch, Z. Zhou and S. C. Blanchard, The Contribution of Reactive Oxygen Species to the Photobleaching of Organic Fluorophores, Photochem. Photobiol., 2014, 90(2), 448–454 CrossRef CAS.
  82. M. Platkov, R. Tirosh, M. Kaufman, N. Zurgil and M. Deutsch, Photobleaching of fluorescein as a probe for oxidative stress in single cells, J. Photochem. Photobiol., B, 2014, 140, 306–314 CrossRef CAS.
  83. J. Vogelsang, R. Kasper, C. Steinhauer, B. Person, M. Heilemann and M. Sauer, et al. A Reducing and Oxidizing System Minimizes Photobleaching and Blinking of Fluorescent Dyes, Angew. Chem., Int. Ed., 2008, 47(29), 5465–5469 CrossRef CAS.
  84. R. G. W. Norrish, On the principle of primary recombination in relation to the velocity of thermal reactions in solution, Trans. Faraday Soc., 1937, 33, 1521 RSC.
  85. H. Lee, K. I. Hong and W. D. Jang, Design and applications of molecular probes containing porphyrin derivatives, Coord. Chem. Rev., 2018, 354, 46–73 CrossRef CAS.
  86. H. G. Jeong and M. S. Choi, Design and Properties of Porphyrin-based Singlet Oxygen Generator, Isr. J. Chem., 2016, 56(2–3), 110–118 CrossRef CAS.
  87. M. Kyropoulou, S. DiLeone, A. Lanzilotto, E. C. Constable, C. E. Housecroft and W. P. Meier, et al. Porphyrin Containing Polymersomes with Enhanced ROS Generation Efficiency: In Vitro Evaluation, Macromol. Biosci., 2020, 20(2), 1900291 CrossRef CAS PubMed.
  88. H. Sun, R. Guo, Y. Guo, J. Song, Z. Li and F. Song, Boosting Type-I and Type-II ROS Production of Water-Soluble Porphyrin for Efficient Hypoxic Tumor Therapy, Mol. Pharmaceutics, 2023, 20(1), 606–615 CrossRef CAS.
  89. V. Schmidt, L. Kuna, V. Satzinger, R. Houbertz, G. Jakopic and G. Leising, Application of two-photon 3D lithography for the fabrication of embedded ORMOCER waveguides, in Proceeding of the SPIE, ed. L. A. Eldada and E.-H. Lee, San Jose, California, USA, 2007, vol. 6476(44), p. 64760P, Session 7,  DOI:10.1117/12.724908.
  90. R. Houbertz, S. Steenhusen, T. Stiche and S. Gerhar, Two-Photon Polymerization of Inorganic-Organic Hybrid Polymers as Scalable Technology Using Ultra-Short Laser Pulses, in Coherence and Ultrashort Pulse Laser Emission, ed. F. J. Duarte, InTech, 2010 Search PubMed.
  91. J. Hesse, J. Jacak, M. Kasper, G. Regl, T. Eichberger and M. Winklmayr, et al. RNA expression profiling at the single molecule level, Genome Res., 2006, 16(8), 1041–1045 CrossRef CAS.
  92. B. Buchroithner, D. Hartmann, S. Mayr, Y. J. Oh, D. Sivun and A. Karner, et al. 3D multiphoton lithography using biocompatible polymers with specific mechanical properties, Nanoscale Adv., 2020, 2(6), 2422–2428 RSC.
  93. S. Mayr, F. Hauser, A. Peterbauer, A. Tauscher, C. Naderer and M. Axmann, et al. Localization Microscopy of Actin Cytoskeleton in Human Platelets, Int. J. Mol. Sci., 2018, 19(4), 1150 CrossRef PubMed.
  94. C. A. Schneider, W. S. Rasband and K. W. Eliceiri, NIH Image to ImageJ: 25 years of image analysis, Nat. Methods, 2012, 9(7), 671–675 CrossRef CAS PubMed.
  95. S. Mayr, F. Hauser, S. Puthukodan, M. Axmann, J. Göhring and J. Jacak, Statistical analysis of 3D localisation microscopy images for quantification of membrane protein distributions in a platelet clot model, PLoS Comput. Biol., 2020, 16(6), e1007902 CrossRef CAS PubMed.
  96. M. D. Hanwell, D. E. Curtis, D. C. Lonie, T. Vandermeersch, E. Zurek and G. R. Hutchison, Avogadro: an advanced semantic chemical editor, visualization, and analysis platform, J. Cheminf., 2012, 4(1), 17 CAS.
  97. A. K. Rappe, C. J. Casewit, K. S. Colwell, W. A. Goddard and W. M. Skiff, UFF, a full periodic table force field for molecular mechanics and molecular dynamics simulations, J. Am. Chem. Soc., 1992, 114(25), 10024–10035 CrossRef CAS.
  98. A. D. Becke, Density-functional thermochemistry. III. The role of exact exchange, J. Chem. Phys., 1993, 98(7), 5648–5652 CrossRef CAS.
  99. C. Lee, W. Yang and R. G. Parr, Development of the Colle-Salvetti correlation-energy formula into a functional of the electron density, Phys. Rev. B, 1988, 37(2), 785–789 CrossRef CAS PubMed.
  100. S. H. Vosko, L. Wilk and M. Nusair, Accurate spin-dependent electron liquid correlation energies for local spin density calculations: a critical analysis, Can. J. Phys., 1980, 58(8), 1200–1211 CrossRef CAS.
  101. R. A. Kendall, T. H. Dunning and R. J. Harrison, Electron affinities of the first-row atoms revisited. Systematic basis sets and wave functions, J. Chem. Phys., 1992, 96(9), 6796–6806 CrossRef CAS.
  102. D. E. Woon and T. H. Dunning, Gaussian basis sets for use in correlated molecular calculations. III. The atoms aluminum through argon, J. Chem. Phys., 1993, 98(2), 1358–1371 CrossRef CAS.
  103. N. B. Balabanov and K. A. Peterson, Basis set limit electronic excitation energies, ionization potentials, and electron affinities for the 3d transition metal atoms: Coupled cluster and multireference methods, J. Chem. Phys., 2006, 125(7), 074110 CrossRef.
  104. D. G. Archer and P. Wang, The Dielectric Constant of Water and Debye-Hückel Limiting Law Slopes, J. Phys. Chem. Ref. Data, 1990, 19(2), 371–411 CrossRef CAS.
  105. J. Tomasi, B. Mennucci and E. Cancès, The IEF version of the PCM solvation method: an overview of a new method addressed to study molecular solutes at the QM ab initio level, J. Mol. Struct.: THEOCHEM, 1999, 464(1–3), 211–226 CrossRef CAS.
  106. Y. Shao, Z. Gan, E. Epifanovsky, A. T. B. Gilbert, M. Wormit and J. Kussmann, et al. Advances in molecular quantum chemistry contained in the Q-Chem 4 program package, Mol. Phys., 2015, 113(2), 184–215 CrossRef CAS.
  107. E. Sigfridsson and U. Ryde, Comparison of methods for deriving atomic charges from the electrostatic potential and moments, J. Comput. Chem., 1998, 19(4), 377–395 CrossRef CAS.
  108. M. Hernández-Padilla, E. Chinea, S. Domínguez, A. Mederos, M. C. Muñoz and F. Lloret, Synthesis, crystal structure, thermal and magnetic properties of [Mn(H2O)6][Cu(pdta)]·2H2O (pdta=1,3-propylenediamine-N,N,N′N′-tetraacetate), Polyhedron, 2000, 19(10), 1175–1179 CrossRef.
  109. C. J. Ballhausen, Introduction to ligand field theory, McGraw-Hill, 1st edn, 1962, p. 298 Search PubMed.
  110. E. F. Pettersen, T. D. Goddard, C. C. Huang, G. S. Couch, D. M. Greenblatt and E. C. Meng, et al. UCSF Chimera–A visualization system for exploratory research and analysis, J. Comput. Chem., 2004, 25(13), 1605–1612 CrossRef CAS PubMed.
  111. J. N. Demas, D. Diemente and E. W. Harris, Oxygen quenching of charge-transfer excited states of ruthenium(II) complexes. Evidence for singlet oxygen production, J. Am. Chem. Soc., 1973, 95(20), 6864–6865 CrossRef CAS.
  112. J. W. Dobrucki, Interaction of oxygen-sensitive luminescent probes Ru(phen)32+ and Ru(bipy)32+ with animal and plant cells in vitro, J. Photochem. Photobiol., B, 2001, 65(2–3), 136–144 CrossRef CAS PubMed.
  113. I. Gurgul, O. Mazuryk, D. Rutkowska-Zbik, M. Łomzik, A. Krasowska and P. Pietrzyk, et al. Microwave-assisted synthesis and photodynamic activity of tris-heteroleptic Ru(II) complexes with asymmetric polypyridyl ligands, Polyhedron, 2022, 225, 116049 CrossRef CAS.
  114. Tris(2,2′-bipyridyl)ruthenium(II) [Internet], [cited 2023 Apr 17], Available from: https://omlc.org/spectra/PhotochemCAD/html/085.html.
  115. S. T. Hess, T. P. K. Girirajan and M. D. Mason, Ultra-High Resolution Imaging by Fluorescence Photoactivation Localization Microscopy, Biophys. J., 2006, 91(11), 4258–4272 CrossRef CAS PubMed.
  116. M. Wiesbauer, R. Wollhofen, B. Vasic, K. Schilcher, J. Jacak and T. A. Klar, Nano-Anchors with Single Protein Capacity Produced with STED Lithography, Nano Lett., 2013, 13(11), 5672–5678 CrossRef CAS PubMed.

Footnote

Electronic supplementary information (ESI) available. See DOI: https://doi.org/10.1039/d3lf00125c

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