Mini Review Volume 6 Issue 4
1Univ. Bourgogne Franche-Comté, France
2Besançon University Hospital, France
Correspondence: Bruno Wacogne, FEMTO-ST institute, Univ. Bourgogne Franche-Comté, CNRS, 15B avenue des Montboucons, 25030 Besançon, cedex, France
Received: November 09, 2020 | Published: November 18, 2020
Citation: Gauthier-Manuel B, Kateklum R, Pieralli C, et al. Intra-molecular origin of SNARF pH dependent fluorescence spectral properties. Int J Biosen Bioelectron. 2020;6(4):106-110. DOI: 10.15406/ijbsbe.2020.06.00197
Fluorescent molecules like SNARF are principally used to measure pH in liquid media. pH can be deduced from the fluorescence intensity or, often more precisely, by studying the fluorescence spectra. This allows numerical pH values to be calculated using some of the spectra shape features. Usually, the goal is to extract the contributions of the protonated and deprotonated forms of the pH indicator from the whole shape of the fluorescence spectrum and to deduce the pH value from these respective contributions. In this short paper, we show that analyzing the shape of the SNARF spectra differently allows specifying the intra-molecular origin of the processes responsible for the fluorescence emission.
Keywords: fluorescence, pH sensing, SNARF, sensitive molecules, intracellular pH, biological processes
SNARF, seminaphtharhodafluor benzenedicarboxylic acid, 2(or 4)-[10-(dimethylamino)-3-oxo-3H-benzo[c]xanthene-7-yl]; FITC, fluorescein isothiocyanate 3',6'-dihydroxy-5(ou 6)-isothiocyanatospiro-3-one; BCECF-AM, no common name found, 2ʹ,7ʹ- bis-(carboxyethyl)-5(6ʹ)-carboxyfluorescein acetoxymethyl ester, 2ʹ,7ʹ-bis-(carboxyethyl)-5(6ʹ)-carboxyfluorescein acetoxymethyl ester
pH sensitive fluorescent molecules were largely synthetized in order to monitor pH in liquids and more particularly the intracellular pH. The latter is related to the extracellular pH via ionic pumps. Dysregulation of these pumps directly affects biological processes. More generally, intracellular pH plays an important role in cells, enzymes and tissue activity like proliferation, apoptosis, resistance to drugs, ion transport or muscle contraction. Intracellular pH is also a key factor in many other biology fields which would be too long to present and outside the scope of this short paper.1 Using pH sensitive molecules, intracellular pH imaging is possible either in a direct fluorescence intensity imaging or ratiometric imaging techniques. For example, Hornig et al2 tested the diffusion of fluorescein and FITC in fibroblasts.2 Kaylor used SNARF in a ratiometric configuration at 570 nm and 620 nm in order to image tumors in mice,3 and found out that the pH was lower in the cancerous region. Gibbin and co-workers used the BCECF-AM pH indicator to monitor the effect of CO2 on intracellular pH with or without the use of a photosynthesis inhibitor in coral cells.4 Describing all the pH sensing molecules would be quite long and fastidious. Han and Burgess proposed a very complete review describing these molecules as described elsewhere.1 In this communication, we restrict our study to the case of the ratiometric indicator SNARF. SNARF exhibits a pKa equal to 7.5 which makes it a good candidate for sensing in the physiological pH range (about pH = 6 to 8). This molecule exhibits only two forms: protonated and deprotonated. Therefore, the fluorescence signal is due to two forms with relative contributions depending on the pH of the solution under test according to the law of mass action (see below). Each protonated or deprotonated form exhibits characteristic fluorescence and/or absorption spectra.5 Shifts between spectra obtained for protonated and deprotonated species can be exploited in order to perform a ratiometric measurement. In,5 discrepancies between pH measured using fluorescence and actual pH values were reported. This is mainly because not every proton participates in the acid-base equilibrium. Other works reported such discrepancies and attempts have been made to explain and/or correct them by mathematical means.6
Some authors developed mathematical models in order to account for different difficulties encountered in specific applications. For example in,7 authors developed a model to account for the small number of free H+ ions in the yeast mitochondria. In reference6 authors study pH behavior in nanochannels. In this case, the zeta potential is responsible for charges reorganizations in the channels. Concentration of SNARF in these nanochannels is then influenced by the zeta potential which induces shifts in the measured pH. Here, a model of the zeta potential was created and the indicator’s concentration was included in this proposed model. In8 authors proposed to extend the 2 wavelengths ratiometric method to the analysis of the whole fluorescence spectrum. Their approach consisted in measuring and mathematically modeling the spectra of both fully protonated and fully deprotonated forms of SNARF. These two extreme pH spectra formed a basis which is now used to fit a spectrum recorded at an unknown pH. Once the fitting is optimum, the value of the pH was determined. The same method was employed in9,10 with further consideration about the possibility to use SNARF to access the calibration free measurement. To summarize, in most cases, methods proposed to mathematically describe the fluorescence of ratiometric indicators are based on the decomposition of the spectrum in two components corresponding to extreme pHs spectra (acidic and basic). However, more information can be obtained from a mathematical analysis of the spectra shapes. In this paper, we show that describing SNARF emission spectra differently resulted in a schematically explanation of the intra-molecular photo-chemistry processes which are responsible for the pH dependent fluorescence of this molecule. By “intra-molecular processes” we mean: parts of the molecule related to each individual fluorescence emission. In the next section, we briefly recall the fluorescence behavior of SNARF in terms of law of mass action. In addition, we show that pH dependent spectra can be efficiently described using only 3 gaussian functions with only a little number of pH dependent parameters. Moreover, we state a hypothesis in the explanation of the different parts of the SNARF molecule participated in the global pH dependent fluorescence spectra emission.
Fluorescence properties of SNARF
Fluorescent molecules like SNARF used for pH sensing can exist under protonated or deprotonated forms (Figure 1, note the “reaction site”). The deprotonation reaction of a dye is described as an equilibrium between these two forms.
Figure 1 Representation of the deprotonation reaction of SNARF molecule. The pKa value is 7.5 which indicates an estimated pH sensitive range of the molecule between 6 and 9. Grey = carbon, white = hydrogen, red = oxygen and blue = nitrogen.
(1)
Where DyeH is the protonated form of the dye and Dye- the deprotonated form. Both forms exist simultaneously. Their respective concentrations are given by the law of mass action characterized by an equilibrium constant Ka function of the concentrations. This law allows defining a chemical equilibrium as a function of the species concentrations. It is related to the fact that the kinetic of a chemical reaction is proportional to the concentration of the different species. In our case, this law is written as follows.
(2)
In the same way as pH is related to the proton’s activity, pKa is practically define as follows.
(3)
Mixing equations (2) and (3) gives the Henderson-Hasselbalch equation expressing the pH as a function of the pKa and species concentrations.
(4)
From this, the dissociation constant is defined as follows.
(5)
Finally, the concentrations of the protonated and deprotonated species can be expressed as a function of the total pH indicator concentration and dissociation constant as follows (for SNARF in this case).
(6)
(7)
Where[SNARFp] , [SNARFd]and [SNARF]are the concentrations of the protonated, deprotonated and total molecules. Figure 2 shows the fluorescence emission of SNARF. In Figure 2(B), we show the digitized data obtained from the supplier for 488nm excitation wavelength.11 Figure 2(B) shows pictures of SNARF emission at extreme pH values with associated spectra. In what follows, we consider an excitation wavelength at 488nm.
Figure 2 Fluorescence of SNARF. (A) Emission spectra obtained from the supplier12 for 488nm excitation wavelength. (B) Spectra obtained at extreme pH values.
Gaussian decomposition of fluorescence emission spectra (supplier’s data)
The general goal of the method consists in mathematically describe the pH dependent spectra of SNARF. For this, spectra obtained from the supplier are digitalized and processed as follows. For each of the 6 pH values proposed by the supplier, we fit the spectra with a sum of “n” gaussian functions. Each individual spectrum is then decomposed in “n” bands. The goal is to find the minimum number of bands required to fully describe spectra. Fitting spectra is performed in the wavenumbers domain. Therefore, in order to present equations with the traditional unit used in fluorescence (nm), the gaussian function associated to the band number ”i” is written as follows.
(8)
Here, is the pH dependent amplitude, (pH) the pH dependent position (in wavelength units) and the pH dependent half-width (in wavenumber units) of gaussian function “i”. After several fitting sessions, we found out that 3 gaussian functions fully describe the fluorescence spectra over the pH range provided by the supplier. This is illustrated in Figure 3. Band 1 (orange area in Figure 3) is extending over the whole spectral emission window. Functions A1(pH), (pH) and are represented in Figure 4. Their evolutions with pH are still not fully understood. Indeed, the behavior of band 1 with pH is probably due to the contribution of several internal molecular processes which are not yet identified. Values of the amplitudes, positions and half-widths of band 1 for the pH values obtained from the supplier are summarized in Table 1. Solid curves in Figure 4 correspond to fittings of parameters in Table 1 with 5th order polynomial functions in α (coefficients available on demand). Figure 5 shows a 3D view of the evolution of band 1 as a function of pH and wavelength. Evolutions of the last 2 bands with pH are much more informative. We determined that the centers and widths of these bands were constant. More remarkable, the amplitudes of these last 2 bands are exactly governed by the law of mass action described in equation (2) through the dissociation factor a (equation (5)). These 2 amplitudes are now written as follows and should be replaced in equations (8) for bands 2 and 3 respectively.
Figure 4 Evolution of the amplitude, position and half-width of band 1 with pH (spectra from supplier).
pH |
6 |
6.8 |
7.2 |
7.6 |
8 |
9 |
Uncertainty |
A1 |
53.1 |
49.2 |
47.1 |
41.3 |
37.3 |
40 |
±0.5 % |
X1 |
616.1 |
612 |
635.3 |
641.6 |
645.1 |
660.2 |
±0.02 % |
σ1 |
1442 |
1476 |
1373 |
1484 |
1653 |
1355 |
±0.3 % |
Table 1 Characteristics band 1 (spectra from supplier)
(9)
(10)
Here, and are the amplitudes of the last 2 gaussian functions at extreme pH values. They depended on the initial SNARF concentration and quantum parameters like the molar absorptivities, quantum yields of protonated and deprotonated forms and populations of the corresponding electronic levels. Figure 5 shows the 3D evolutions of bands 2 and 3 with pH and wavelength (Figure 6A) and a side view illustrating the evolutions of the amplitudes according to the law of mass action (Figure 6B). Parameters involved in equations (8) for bands 2 and 3 are summarized in Table 2.
Coef. |
Value |
Uncertainty |
Unit |
a2 |
47.1±0.2 |
±0.3 % |
% |
a3 |
56.3±0.4 |
±0.7 % |
% |
X2 |
584.2±0.3 |
±0.05 % |
nm |
X3 |
636.6±0.5 |
±0.08 % |
nm |
σ2 |
504±15 |
±3 % |
cm-1 |
σ3 |
680±30 |
±5 % |
cm-1 |
Table 2 Parameters for bands 2 and 3 (spectra from supplier)
Figure 6 Bands 2 and 3. (A) 3D view of the evolution of bands 2 and 3 with pH and wavelength. (B) Side view showing the evolution of the amplitudes according to the law of mass action.
Gaussian decomposition from experimental data
The goal of this section is to show that the gaussian decomposition is still valid when applied to home-obtained experimental data and to check whether or not bands 2 and 3 obey the law of mass action. Excitation was performed at 485nm and the general experimental procedure is detailed below. Buffer solutions were Phosphate Buffer Saline (PBS) 0.5X composed of 68.5mM NaCl, 5mM phosphates (4mM Na2HPO4 and KH2PO4 with proportion tuning the pH value), 1.35mM KCl.
Figure 7 shows the experimental set-up as well as the spectra recorded for several pH values. Spectra presented in Figure 7 underwent the same gaussian decomposition as spectra provided by the supplier. As it was the case with the supplier’s data, the band 1 exhibits a not yet explained behavior with pH but the evolutions of the gaussian parameters are similar in both cases as depicted in Figure 8. Corresponding parameters are given in Table 3. Again, as was the case with spectra from supplier, bands 2 and 3 of our experimental data strictly obey the law of mass action through the dissociation constant. We don’t present a Figure similar to Figure 3 in order not to lengthen the paper but corresponding coefficients are given in Table 4. To summarize this section, in both cases, bands 2 and 3 are defined by the law of mass action. The slight differences between data given in the Table are due to the fact that the compositions of the buffers we used were slightly different from the ones used by the manufacturer. Spectra from supplier were obtained with 50mM potassium phosphate buffers while our spectra were obtained with buffers composition given above. Although of similar composition, these buffers are different in terms of buffer polarity. This is proven by the significant difference in emission spectra of the fluorophore.12 Because the buffer polarity modifies the emission spectrum of a fluorophore,12 values found in both cases slightly differ. However, because the law of mass action is obeyed in both cases for bands 2 and 3, we can state the following hypothesis.
pH |
6 |
6.4 |
6.8 |
7.2 |
7.6 |
8 |
8.5 |
9 |
Uncertainty |
A1 |
14864 |
14685 |
14334 |
13575 |
13217 |
12465 |
12823 |
12891 |
±0.2 % |
X1 | 609 |
610 |
615 |
614 |
625 |
625 |
636 |
637 |
±0.4 % |
σ1 | 1519 |
1534 |
1533 |
1614 |
1589 |
1691 |
1590 |
1585 |
±0.5 % |
Table 3 Characteristics band 1 (experimental data)
Coef. |
Value |
Uncertainty |
Unit |
a1 | 9932 ± 40 |
±0.4 % |
Cts |
a2 |
13448 ± 90 |
±0.68 % |
Cts |
X1 |
580.8 ± 0.1 |
±0.02 % |
nm |
X2 |
637 ± 3 |
±0.5 % |
nm |
σ1 |
564± 5 |
±1.01 % |
cm-1 |
σ2 |
638.59 ± 0.06 |
±0.01 % |
cm-1 |
Table 4 Parameters for bands 2 and 3 (experimental data)
Intra-molecular origin of gaussian bands
The hypothesis is based on the following observations.
Therefore, bands 2 and 3 were resultant from the electronic transitions which occurred in a reduced region of the SNARF molecule, more likely within the reaction site shown in Figure 1. This is further illustrated in Figure 9 where the greenish regions correspond to bands 2 and 3. As previously stated, although well described by a gaussian function, band 1 cannot be directly related to a particular intra-molecular process. This is due to the fact that pH has a little effect of the behavior of band 1 as compared to its effect on band 2 and 3. The hypothesis is that it is generated in regions far away from the reaction site and defined by the reddish frontiers in Figure 9. However, although weak, the behavior of band 3 with respect to pH is still to be explained. Note that green and red regions in Figure 9 are drawn for illustration purposes. Their actual sizes and exact location of the frontier between them is not yet defined. In particular, we still don’t know how many aromatic rings are involved in the behavior of bands 2 and 3 and how many are involved in the behavior of band 1.
In this short paper, we mathematically investigated the pH dependent SNARF fluorescence properties. We showed that the pH dependent spectra can be described using only 3 gaussian functions. More interesting, we specified that the centers and widths of 2 of these gaussian profiles were constant. Slight differences between results obtained from the supplier’s data and our experimental data are due to different buffer compositions. However, in both cases, the amplitudes of the 2 gaussian band with constant positions and widths strictly obey the law of mass action. The behavior of the other gaussian contribution is more difficult to explain. From this, we stated the hypothesis that a reduced intra-molecular region of the SNARF molecule, close to the place where protons are bounded or resealed, is involved in the production of 2 gaussian bands. The rest of the molecule is responsible for the last gaussian band and its lower pH dependence is due to the distance between this region and the proton reactive site of the molecule. Further investigations are still required to exactly define how many aromatic rings are involved in each of these bands.
This work was supported by the European Commission (grant number FE2007/2013, operation 36381).
There is no conflict of interest.
©2020 Gauthier-Manuel, et al. This is an open access article distributed under the terms of the, which permits unrestricted use, distribution, and build upon your work non-commercially.