Skip to main content
ACS Omega logoLink to ACS Omega
. 2026 Feb 9;11(7):12713–12724. doi: 10.1021/acsomega.5c13199

Quenching Single-Fluorophore Systems and the Emergence of Nonlinear Stern–Volmer Plots

Ronen Zangi †,‡,§,*
PMCID: PMC12947201  PMID: 41768646

Abstract

Reduction in fluorescence intensity upon addition of quencher molecules is often quantified by the Stern–Volmer equation. Central to the underlying model is the formation of an adduct between quencher and excited state (dynamic quenching), or ground-state (static quenching), fluorophore at steady-state conditions. Assuming a thermodynamic behavior, that is, a system with large numbers of fluorophore and quencher molecules, the resulting dependency of the ratio between fluorescence intensities, with and without quencher, on quencher’s concentration is linear. Yet, alongside abundance reports confirming this linear behavior, numerous observations indicate the dependency can also be nonlinear with either upward or downward curvature. By maintaining the same physical mechanisms for quenching, we derive in this paper an alternative equation to describe fluorescence quenching. Here, however, we assume a local equilibrium (steady-state) between a single fluorophore and a finite number of surrounding quencher molecules, effectively partitioning the (macroscopic) system into many noninteracting small subsystems. Depending on the fluorophore’s properties, the association’s strength, and conditions, the resulting behavior exhibits linear dependencies, upward curvatures, or downward curvatures. More specifically, the relation reads, I°/I=1+ZK[Q]T/(1+(1Z)K[Q]T) , where K is a steady-state equilibrium constant for complex formation and [Q] T is the total concentration of quencher in the small subsystem. The dimensionless parameter Z has different expressions for dynamic and static mechanisms. In the former, it is a ratio between the maximum rate of quenching and the rate of fluorophore excitation, whereas in the latter, it is a function of the fraction of excited fluorophore. Intriguingly, this relation applies also for systems with exciplex emissions. We tested the validity of this model on 151 experimental fluorescence quenching plots, taken from the literature, operated by dynamic, static, and combined mechanisms. The results of the fitting are excellent with an average correlation coefficient of 0.9985.


graphic file with name ao5c13199_0005.jpg


graphic file with name ao5c13199_0003.jpg

Introduction

Consider a system with fixed volume, V, temperature, T, and total number of fluorophore molecules, N F . In this system, a fluorophore molecule in the ground state (F) can be electronically excited (F*) by absorbing a photon with frequency ν. If the light source applied to the system emits photons with constant intensity, the excitation process of fluorophore molecules can be described by first-order kinetics

Fka+hνF*,rate=cF*/t=kacF 1

where h is Planck’s constant, k a is the rate constant of photon’s absorption, c F = N F/V is the concentration of ground-state fluorophore, and angle brackets indicate an average over measurement time. The excited fluorophore can go back to its ground-state by two different routes. The first is by fluorescence

F*kfhνF,rate=cF*/t=kfcF* 2

where k f is the fluorescence rate constant and ν′ the emission frequency. The second route is via nonradiative relaxations

F*knrF,rate=cF*/t=knrcF* 3

where k nr is an effective rate constant representing all first-order nonradiative relaxation modes.

For a system subject to reactions – under continuous irradiation of photons, it is customary to assume a steady-state condition. When applied to the population of excited fluorophore, ⟨∂c F*/∂t⟩ = 0, we get,

cF*=kakf+knrcF 4

The rate of emitted photons by these excited fluorophores (i.e., the rate of fluorescence described in eq ) is linearly proportional to the fluorescence’s intensity observed. Thus, in the absence of a quencher, the fluorescence intensity, I° ,

I°kfkakf+knrcF 5

Now, if we add a molecule, Q, to the system that can bind the fluorophore, the fluorescence intensity can be reduced (quenched). This fluorescence quenching can take place either by a dynamic or static mechanism.

Dynamic Quenching

In this mechanism, the decrease in fluorescence intensity is a result of the association between the excited-state fluorophore and quencher, allowing the former to relax back to its electronic ground-state by another nonradiative pathway. Given the excitation in eq , the subsequent step is then the formation of the excited bound complex, (FQ)*

F*+Qkdkb(FQ)*,rate=cF*t=c(FO)*t=kbcF*cQkdc(FQ)* 6

where k b and k d are the binding (second-order) and dissociation (first-order) rate constants, respectively. The dynamic pathway proceeds with a step, or several steps, in which the excited bound complex dissociates into the fluorophore and quencher, both in their ground electronic state

(FQ)*kiF+Q,rate=c(FO)*t=kic(FQ)* 7

Using eq and eq , we can apply a steady-state approximation to the population of the excited bound complex, ⟨∂c (FO)*/∂t⟩ = 0, and write its concentration as

c(FQ)*=kbkd+kicF*cQ 8

A steady-state condition for the concentration of the excited complex (eq ) implies a quasi-equilibrium wherein an apparent equilibrium constant can be defined as

K(FQ)*ss=kbkd+kic=c(FQ)*cF*cQc 9

with c the standard concentration, which is introduced to render K (FQ)* dimensionless.

We continue by applying a steady-state approximation also for the concentration of F*

cF*t=kacF(kf+knr)cF*kbcF*cQ+kdc(FQ)*=0 10

and utilize the expression of ⟨c (FQ)*⟩ described in eq to obtain

cF*=kakf+knr+kqcQcF 11

with k q an effective second-order rate constant defined by

kq=kb(1kdkd+ki) 12

As expected, in the special case where k i k d , the effective rate constant, k q , approaches the binding rate constant k b . Note that it is customary in the literature to combine the chemical reactions in eq and eq into one complex reaction

F*+QkqF+Q 13

with k q a second-order rate constant for this complex reaction (eq ). Nonetheless, applying a steady-state approximation to c F* and considering eq instead of eq and eq , yields exactly the expression written in eq .

The fluorescence intensity in the presence of quencher, I Q , is then proportional to

IQkfkakf+knr+kqcQcFQ 14

where the subscript “Q” of the angular brackets is introduced to emphasize that the average pertains to a system with a quencher. In principle, this term is distinguished from that of a system without quencher, such as ⟨c F⟩ in eq . Nonetheless, because the quencher can interact only with F*, under equal conditions of radiation and equal (total) amount of fluorophore, the concentrations of unbound ground-state fluorophore in both systems are assumed equal, that is, ⟨c FQ = ⟨c F⟩. As a consequence, the ratio of fluorescence intensity without quencher to that with quencher gives the famous Stern–Volmer equation,

I°IQ=kf+knr+kqcQkf+knr=1+kqkf+knrcQ=1+KSVcQ 15

which is linear as a function of ⟨c Q⟩. This linear relation has been found valid for a substantial number of experimental systems. The term K SVk q /(k f + k nr) is known as the Stern–Volmer constant.

Static Quenching

In static quenching, it is the fluorophore in the ground state (and not in the excited state as in dynamic quenching) that forms a complex with the quencher,

F+QkukcFQ,KFQ=kckuc 16

It is assumed that the complex can absorb light, in general, with a different frequency than the unbound fluorophore

FQke+hν(FQ)*,rate=c(FQ)*/t=kecFQ 17

however, it can not emit light. In due course, the complex relaxes then only by nonradiative pathways

(FQ)*krxF+Q,rate=c(FO)*t=krxc(FQ)* 18

Hence, relative to a system in which the quencher is not present, there is a decrease in fluorescence intensity. As before, the chemical reactions described in eqs – take place in the system, and because the quencher does not interact with the excited fluorophore, the steady-state result relating c F* to c F expressed in eq holds here as well.

We apply a steady-state condition for the concentration of the ground-state complex

cFQt=kccFcQkucFQkecFQ=0 19

and obtain

cFQ=kccFcQku+ke 20

which implies a steady-state association constant

KFQss=kcku+kec=cFQcFcQc 21

Given equal total fluorophore’s concentrations in systems with quencher (subscripted with “ Q ”), and without quencher (here subscripted with “o”), we can write

cF°+cF*°=cFQ+cF*Q+cFQQ+c(FQ)*Q 22

and assume that |⟨c F* ° – (⟨c F*Q + ⟨c (FQ)*Q)|≪⟨c F ° , which is valid for weak fluorescence absorptions, low quencher concentrations, or small values of K FQ. Consequently, the ratio between fluorescence intensity without quencher and that with quencher is

I°IQ=kfcF*°kfcF*Q=kakf+knrcF°kakf+knrcFQ=cFQ+cFQQcFQ=1+kcku+kecQ=1+KFQssccQ 23

where we utilized the relation in eq . It is interesting to note that eq has the same form as the Stern–Volmer relation for dynamic quenching expressed in eq , with K SV substituted by K FQ /c . In the event that the rate of light absorption by the ground-state complex is negligible compared to the rate of complex unbinding, k e k u , K FQ approaches K FQ. Many experimental reports confirm that also for static quenching, the plot of the ratio of fluorescence intensities, I° /I Q, as a function of quencher’s concentration (customary referred to as SV plot) is linear. As is the case with dynamic quenching (eq ), the quencher’s concentration appearing on the right-hand side of eq is of its unbound state at ’equilibrium’. In the majority of studies, this concentration is taken as the total concentration of quencher introduced to the system, c Q , which is justified for c Qc F . Several authors discussed this point for the case of static quenching and provided an alternative equation relating I° /I Q to c Q for all concentrations.

Deviations of SV Plots from Linearity

As mentioned above, SV plots have been validated in many cases to be linear for both dynamic and static mechanisms. That said, there are as well, significant number of reports indicating deviations from this linear behavior. These deviations can be negative (i.e., with a downward curvature) or positive (upward curvature) relative to a straight line. Negative deviations of SV plots are normally attributed to (1) formation of an excited complex, (FQ)*, that can also emit light, (2) clustering of quencher’s molecules, , and (3) saturation of fluorophore-quencher bound population.

Several models were proposed to address positive deviations of SV plots. One explanation is the simultaneous action of dynamic and static mechanisms. In this case, it is assumed that the total reduction in fluorescence intensity reflected in the ratio I° /I Q (hereafter, we drop the subscript “Q” for the system with quencher), is expressed by the product of the corresponding reductions due to each of the individual quenching mechanisms,

I°I=(1+KFQsscQ/c)(1+KSVcQ) 24

yielding a quadratic dependence of I° /I on quencher’s concentration. Several reports in the literature fitted successfully observed upward curvatures of SV plots ,− with eq , whereas others obtained equilibrium constants that are negative, and therefore, could not provide meaningful interpretation to the fitted parameters. Another model for upward deviations is due to Frank and Wawilow, who assumed that in addition to interactions operating within the collision sphere (defined by the fluorophore and quencher molecular sizes), an excited fluorophore can also interact with a quencher if both are present inside a sphere characterized by a larger volume, ω. This concept defines an additional route for quenching with a probability of 1 inside this “sphere of action”, and 0 otherwise. The Stern–Volmer equation is then said to be multiplied by an exponential factor to account for the probability of a quencher residing within volume ω around the excited fluorophore,

I°I=(1+KSVcQ)expωNAcQ 25

where N A is Avogadro’s number. The dependency of I° /I on quencher’s concentration described in eq has been found to fit well many experimental SV plots exhibiting positive deviations. Still, few reports raised some criticisms over this “sphere of action” mechanism, questioning its concept or the large values of the sphere’s radius inferred from the model. ,− Other models addressing positive deviations from SV plots assume that one or more of the rate constants mentioned above depend on the age of the excited molecule or on reactants’ concentrations.

In this paper, we derive an equation to quantify SV plots by assuming that each fluorophore is in a steady-state (quasi-equilibrium) with only a small set of quencher molecules located in its immediate vicinity. As a consequence, the expressions of bimolecular association rates need to include correlations in reactant concentrations. When this is applied, the resulting equations are capable of accounting for upward and downward curvatures in pure dynamic and pure static mechanisms. Partitioning the system into small subsystems naturally represents fluorophore-quencher interactions physically confined to restricted volumes. Hence, we examined this model on many experimental fluorescence quenching plots under various types of confinement and obtained excellent agreement. Interestingly, we found that this model accounts successfully also for deviations from linearity observed in homogeneous solutions. This is plausibly due to limited diffusion, triggering repetitive binding of the fluorophore with the same set of surrounding quenchers.

Results and Discussion

Dynamic Quenching of Single-Fluorophore Systems

In writing the expression of reaction rate for binding the excited fluorophore with quencher (eq ), as well as the expression of the corresponding steady-state equilibrium constant (eq ), we followed an assumption made in all works in the literature where reactants’ concentrations are decoupled. As a result, the uncorrelated product of each average, ⟨c F*⟩⟨c Q⟩, is considered. This assumption is valid in the thermodynamic limit, in which case, the numbers of fluorophore and quencher molecules are large, and all fluorophores in the system are able to interact with all quenchers. However, because fluorophore-quencher interactions are two-body in nature, in small systems (or in large systems characterized by many fluorophore-quencher subsystems, each confined to a small domain containing small numbers of particles), the concentrations of F* and Q are correlated. Therefore, the expression of the reaction rate ought to include the average of their product, ⟨c F* ·c Q⟩, that is, eq should read,

F*+Qkdkb(FQ)*,rate=cF*t=c(FO)*t=kbcF*·cQkdc(FQ)* 26

By applying a steady-state condition to the concentration of the excited fluorophore,

cF*t=kacF(kf+knr)cF*kbcF*·cQ+kdc(FQ)*=0 27

we get,

cF*=kacFkbcF*·cQ+kdc(FQ)*kf+knr 28

and a corresponding condition to the concentration of the excited complex yields

K(FQ)*ss=kbkd+kic=c(FQ)*cF*·cQc 29

instead of the steady-state constant expressed in eq . The fluorescence intensity in the presence of quencher is then

IkfcF*Q=kfkacFQkf+knr[1+kdc(FQ)*kbcF*·cQkacFQ]=kfkacFQkf+knr[1kic(FQ)*kacFQ] 30

where the last equality uses the relation in eq . As before, if fluorophore-quencher interactions are significant only when the fluorophore is electronically excited (thus, only the dynamic mechanism is operational), then to a very good approximation, ⟨c F Q = ⟨c F⟩, and hence, the ratio of fluorescence intensities, in the absence (eq ) and presence (eq ) of quencher is

I°I=[1kic(FQ)*kacF]1 31

As expected, the ratio in eq describes a reduction in fluorescence intensity upon the addition of quencher, because values of rate constants and concentrations are positive. However, the problem is to evaluate the average concentration of the excited bound complex, ⟨c (FQ)*⟩, or alternatively, the average of the coupled unbound concentrations, ⟨c F* ·c Q⟩, in the small system (or subsystems). This problem can be solved relatively easily for the case in which the small system includes only one fluorophore, N F =1, but still, with an arbitrary number of quencher molecules, N Q . In this event, it is possible to express the average concentration of the excited complex by the value of the steady-state constant, ,

c(FQ)*NFtotal=1=NQtotalK(FQ)*ssV[Vc+NQtotalK(FQ)*ss]=cQtotalK(FQ)*ssV[c+cQtotalK(FQ)*ss] 32

where V is the volume of the small system, effectively defined by the space (volume) in which the group of quenchers participating in the small subsystem occupies.

We continue by inserting the relation described in eq into eq to evaluate the ratio of fluorescence intensities

I°I=[1kicQtotalK(FQ)*ssV[c+cQtotalK(FQ)*ss]kacF]1=[1ki1VkacF·11+c/[K(FQ)*ss·cQtotal]]1 33

For a series of experiments in which only the value of c Q varies, k i and k a are expected to be constant, and as argued above, so is ⟨c F⟩. This means we can define a constant Zd ,

Zdki1VkacF=kicFtotalkacF=kikaNF 34

where 0 < ⟨N F⟩ < 1 is the probability of finding (or the fraction of time) the fluorophore (is) in its unbound ground state. Rewriting eq

I°I=[1Zd1+c/(K(FQ)*ss·cQtotal)]1=1+ZdK(FQ)*ss·cQtotalc+(1Zd)K(FQ)*ss·cQtotal 35

eq describes a relation between I° /I and c Q , where the two terms, K (FQ)* and Zd , can be considered as two parameters in a fitting procedure. Unlike the linear Stern–Volmer equation (eq 15), the dependency in eq of I° /I is on the total concentration of quencher, and its validity is not contingent on it being in excess relative to the fluorophore. In addition, the fitting gives directly the steady-state constant for binding.

Static Quenching of Single-Fluorophore Systems

In deriving the equation for static quenching in the Introduction, we assumed the binding rate is proportional to decoupled fluorophore and quencher concentrations (eq ), which was later propagated to the expression of K FQ (eq ). Again, this is valid only for large systems, and in order to describe association reactions in a small system (or in a large system composed of many noninteracting small subsystems), cross-correlations between reactants’ concentrations should be accounted for. That means, eq should read,

KFQss=kcku+kec=cFQcF·cQc 36

Given the model of static quenching presented in the introduction and the assumptions therein, we continue from eq , and express the ratio of fluorescence intensities in the absence and presence of quencher as,

I°I=kfcF*°kfcF*Q=cF°cFQ=1+cFQQcFQ=1+cFQQcFtotalcF*QcFQQ 37

where in the denominator of the last term, we ignored the contribution of ⟨c (FQ)*Q to the total fluorophore’s concentration. As in the previous subsection for dynamic quenching, also here we assume a system with only one fluorophore (N F =1), an arbitrary number of quencher molecules (N Q ), and relate the ground-state bound-complex concentration, ⟨c FQ⟩, to K FQ , c Q , and V by, ,

c(FQ)NFtotal=1=cQtotalKFQssV[c+cQtotalKFQss] 38

analogous to eq . To advance the derivation, we approximate ⟨c F*Q in terms of c F and ⟨c FQQ. A general and simple representation by these two concentrations is a linear combination,

cF*QαcFtotalβcFQQ 39

with 0 < α < 1 and β ≥ 0. Inserting eq and the assumption made in eq into eq yields

I°I=1+cFQQ(1α)cFtotal+(β1)cFQQ=1+KFQss·cQtotal(1α)(c+KFQss·cQtotal)+(β1)KFQss·cQtotal=1+11αKFQss·cQtotalc+βα1αKFQss·cQtotal=1+ZsKFQss·cQtotalc+WZsKFQss·cQtotal 40

where

Zs11α 41

and Wβα>1 . For β = α (i.e., W=0 ), the ratio of fluorescence intensities is a linear function of c Q , similar to the SV-relation stated in eq , but with a slope of ZsKFQss/c instead of K FQ /c . Note, eq can fit experimental SV plots by two parameters ZsKFQ (the product of two terms that are not independent) and W .

Aiming to further simplify the relation in eq , we analyzed SV plots operating by static quenching and found that in many cases of upward curvatures, β can be approximated as 0. Thus,

cF*QαcFtotal 42

which yields,

I°I=1+ZsKFQss·cQtotalc+(1Zs)KFQss·cQtotal 43

where Zs is defined in eq . The expression in eq can model experimental data points with two fitting parameters, K FQ and Zs . By considering the latter as constant, we assume that with changes of quencher’s concentration, the induced changes in the value of α = ⟨c F*Q/c F , relative to the value of 1, can be ignored.

A Unified Equation of Single-Fluorophore Quenching

It is interesting that despite applying different physical pictures and assumptions to derive dynamic and static (assuming eq ) quenching equations for systems composed of many independent single-fluorophore subsystems (eq and eq ), the dependency of I° /I on c Q is the same. We can then write a unified equation,

I°I=1+ZKcQtotalc+(1Z)KcQtotal 44

describing the reduction in fluorescence intensity upon quenching, with Z=Zd (eq ) and K = K (FQ)* for dynamic mechanism, and with Z=Zs (eq ) and K = K FQ for static mechanism.

The relation between fluorescence intensities and quencher concentration described in eq is, in general, nonlinear. Upward curvatures are observed for Z>1 (Figure a), whereas downward curvatures correspond to Z<1 (Figure b). Yet, I° /I is linear as a function of c Q for cases in which the term (1Z)KcQtotal is much smaller than c . This obviously holds when Z approaches 1 (Figure c), or when K, and/or c Q , are small enough (Figure d). The latter two conditions are known to diminish correlations (couplings) between concentrations of reactants in binding reactions at finite systems. ,, As a result, the behavior of the system approaches that of a macroscopic system, and thereby, eq reduces to the well-known Stern–Volmer equation (eq 15 or eq ). We would like to point out that even if the overall behavior of eq is nonlinear, at sufficiently low quencher concentrations, the dependency is apparently linear (see blue and green lines in Figure d, relative to the corresponding curves in Figure a,b), an observation frequently encountered in experimental SV plots.

1.

1

The ratio I°/I calculated by eq (c = 1 M), as a function of total quencher concentration, with (a) Z=1.2 , (b) Z=0.8, and (c) Z=1.0 , for several values of K, as well as, for (d) K = 1000 for several values of Z .

What is the physical meaning of a system characterized by Z larger, equal, or smaller than 1? For dynamic quenching, the numerator of Zd (eq ), k i c F , expresses the largest possible rate to relax nonradiatively the excited complex (eq ), when the quencher is added in excess relative to the fluorophore. In other words, it is the rate of relaxation-dissociation of the excited complex assuming its average concentration equals c F . The term in the denominator is the rate of exciting the ground-state unbound fluorophore. Hence, Z larger, equal, or smaller than 1 means the maximal rate of quenching is larger, equal, or smaller, respectively, than the rate of excitation.

Note that because quenching requires the ratio of fluorescence intensities to be larger than (or equal to) 1, there is a condition between the values of c Q , K, and Z , that should be satisfied. That is, (Z1)KcQtotal<c , which is relevant only when Z>1 , thus, for upward curvatures. For downward curvatures in dynamic quenching, Zd<1 (but still positive as required by its definition), so the condition I° /I ≥ 1 is always satisfied. In static quenching, Zs should be larger than 1 (because α, defined in eq , can not be negative), and as a consequence, the assumption made in eq can not support downward curvatures. Therefore, to model downward curvatures driven by a static mechanism, the assumption in eq should be considered, and consequently, the relation in eq ought to be applied. Modeling SV plots exhibiting downward ( W>0 ) and upward ( W<0 ) curvatures, as well as a straight line ( W=0 ), by eq are shown in Figure .

2.

2

I° /I as a function of c Q for static quenching according to eq , where it is assumed ⟨c F*Q = α c F – β ⟨c FQQ. Downward curvatures correspond to positive, whereas upward curvatures to negative, values of Wβα .

Examining the Single-Fluorophore Quenching Model on Experimental SV Plots

To test the theory, we fit the proposed equations to experimental fluorescence quenching data reported in the literature. All fittings were performed by Grace plotting software, version 5.1.25. Except of few cases in which the data points were published in a table, or were provided by the authors, we extracted the values of the points from the published figures by the Engauge Digitizer software. If not included in the data set, the point [0,1] was introduced by definition. In all figures, symbols are experimental data points and solid lines are fittings of eq . This does not include SV plots displaying downward curvatures by static quenching, in which case, the solid lines are fittings of eq . When a macroscopic system forms an ensemble of spatially restricted subsystems, for example, a micellar solution with the micelles confining the fluorophores and quenchers, the local concentration of the quencher is, in general, not known. Some authors performed an analysis to estimate the local effective concentration, whereas others did not. In any case, we always considered only the values presented in the reported SV plots. Note that because in eq the steady-state constant, K, and total quencher’s concentration of the subsystem, c Q , always appear as a product, scaling c Q by a factor will merely modify K by the inverse of that factor, whereas Z will remain unchanged.

We start by applying eq to fluorescence quenched by a dynamic mechanism (SI section SI-1). It is straightforward to attribute quenching to a pure dynamic mechanism when the time-resolved measurements, τ° /τ vs c Q , display the same linear relation as that obtained by steady-state measurements. Although we also included these cases in our analyses, − , this condition restricts the data points to a straight line, which is already described well by the SV equation. In many reports, additional involvement of a static mechanism is concluded solely on the basis that the SV plot displays positive deviations from linearity. Because in this paper we argue that upward and downward curvatures are possible for purely dynamic (or purely static) mechanism, we ignore such interpretations, unless evidence of involvement of a static mechanism is provided, such as a noticeable quencher-induced change in absorption spectra or a decrease of K with an increase in temperature. The SV plots operated by the dynamic mechanism we consider (Figures S1.1 and S1.2) exhibit linear relations, as well as, upward and downward curvatures, and the results of the fittings are very good (Table S1.1).

We continue the model’s evaluation on SV plots governed by static quenching ,,− (SI-2). In all cases, a static mechanism was concluded by the authors because the fluorescence’s lifetime with quencher (τ) was equal to that in the absence of quencher ( τ° ), except for one study where time-resolved measurements were not performed, and the conclusion was based on demonstrating the formation of a ground-state complex. To fit SV plots with upward curvatures, we utilized the unified equation, eq (Figures S2.1, S2.2a, and Table S2.1). In contrast, SV plots with downward curvatures were fitted by eq (Figure S2.2b–d and Table S2.2). It is worth commenting few points. In the work of Shaw et al. (Figure S2.1b), the Benesi–Hildebrand method was applied by the authors to determine K FQ = 28.47. This value is in reasonable agreement with K FQ = 18.5 we obtained from the fitting of the SV plot. Furthermore, in the work of Hollett et al. (Figure S2.1c), quenching of fluorescence was recorded at three different emission wavelengths. Upon fitting, we obtained K FQ values that are aligned with the efficiency of the quenching displayed in the SV plots. Different emission wavelengths are attributed to different nanocrystallite sizes in the material; however, it is not clear whether these different sizes of the photoluminescent centers are characterized by different binding constants. In case they do not, we also calculated the geometric average of K FQ derived from these three different wavelengths, and used this value as a constant for a one-parameter fitting (dashed lines in Figure S2.1c and gray entries in Table S2.1). As judged by the correlation coefficient, the obtained fitting is slightly less good for the 850 nm wavelength but still very reasonable. When fitting downward curvatures by static quenching (eq ), it is the product ZsKFQss , and not K FQ on its own, that is extracted from the fitting. In their study, Ranjit and Levitus employed three different nucleotide phosphates to quench the dye’s fluorescence. The value of ZsKFQss obtained from the fittings increases with the efficiency of quenching displayed in the SV plots, whereas the value of W does not vary substantially.

Next, we examine SV plots in which the quenching is likely a combination of both dynamic and static mechanisms. In the models presented above for the pure mechanisms, the equations already include two fitting parameters. Obviously, in a model that describes simultaneous quenching by both mechanisms, the number of fitting parameters is expected to be larger. In section SI-12 we propose such a model. We start from a dynamic quenching in which the unbound ground-state fluorophore is subject to an additional equilibrium reaction with the quencher to form the ground-state complex (quantified by K FQ ). The resulting equation, eq S4, is a generalization of dynamic quenching, that is, it reduces to eq for K FQ →0. It contains four fitting parameters, and when attempted to be applied to experimental SV plots, the obtained results depended on the initial guess and on the fitting method. Therefore, instead of utilizing eq S4, we applied the unified equation (eq 44) to model quenching by combined mechanisms ,,, (SI-3). In this case, it is understood that the parameters obtained from the fittings are apparent (effective) quantities that, in the absence of a dominating mechanism, can not be directly interpreted. The results of the fittings (SI-3) are quite good, which might indicate that one mechanism is dominating the quenching behavior. We note that in the work of Bharadwaj et al. (Figure S3.1b), the three CdTe quantum dots are characterized by different sizes (dQD3 > dQD2 > dQD1) and the values of K obtained from the fittings follow the experimentally observed, nonmonotonic, quenching efficiency (whereas the value of Z is almost constant).

In the following, we continue the evaluation of the model (eq ) on fluorophore-quencher systems under various confinements. That is, fluorophores embedded in micellar structures of Triton X-100 and SDS ,− (SI-4), lipid membranes (SI-5), conjugated polymers and block copolymers ,− (SI-6), metal organic frameworks (SI-7), β-cyclodextrin and amylose structures (SI-8), microemulsions (SI-9), and proteins ,− (SI-10). Finally, we also apply eq to fluorescence quenching in homogeneous, organic and aqueous, ,− solutions that exhibited either upward or downward curvature (SI-11). In total, we analyzed 151 SV plots. The results of fitting are excellent with an average correlation coefficient of 0.9985 and standard deviation of 0.0020, which provides validation of the localized and independent fluorescence quenching model proposed to compartmentalized (confined) systems. It is interesting, however, that even when applying this model to SV plots conducted in homogeneous solutions, the results are also very good. We suggest that during the time periods between successive associations of the fluorophore with quenchers (including the nonradiative relaxation processes of the bound complex), the diffusive distance of the molecules is small enough so that the fluorophore binds the same set of nearby quenchers. This effectively partitions the macroscopic system into the small independent subsystems we referred to in our model.

As mentioned above, at low enough quencher’s concentrations, experimental SV plots often display a linear behavior which is reproduced mathematically in eq . In several studies, the authors analyzed this regime and calculated the value of K SV considering only this low concentration linear range. For these cases (26 in total), we calculated the value of ZK , obtained from the fitting to the entire nonlinear SV plot, and compared it to the reported K SV at low concentrations. The results are presented in Tables S13.1 and S13.2. In the vast majority of the studies, the agreement is very good. Yet, in two cases, , allyloxy-based MOF quenched by Pd2+ and Ur-PMMA-b-PVAc block copolymer quenched by Fe3+, there is a substantial discrepancy of a factor of 20 and 10, respectively. One explanation is that in these two cases, the effective local concentration of quencher, at low and high concentrations, is not related to c Q by the same factor.

It is important to note that in time-resolved measurements, average concentrations are irrelevant, and thereby, couplings (correlations) in reactants’ concentrations do not affect the behavior. That means, I° /I vs c Q can exhibit nonlinearity while τ° /τ vs c Q is linear.

Systems with Exciplex Emissions

When presenting the dynamic mechanism in the Introduction and, later, in Results and Discussion sections, we assumed the excited complex (exciplex), (FQ)*, does not emit light. However, there are systems in which additional emission by exciplex does take place. In this subsection, we show that even with this extra emission by the exciplex, the resulting SV plots still obey eq .

We consider a system adhering to the chemical reactions and corresponding relations described in eq –, eq , and eq –, subject to an additional process of exciplex emission

(FQ)*keehνF+Q,rate=c(FO)*t=keec(FQ)* 45

In this model, application of a steady-state condition to ⟨c (FO)*⟩ gives

kbcF*·cQkdc(FQ)*kic(FQ)*keec(FQ)*=0 46

from which we can define a steady-state constant for (fluorescent) exciplex formation

K(FQ)*ss=kbkd+ki+keec=c(FQ)*cF*·cQc 47

There are fluorophore-quencher systems in which it is possible to differentiate the fluorescence emitted exclusively by the exciplex, I ee , from that emitted by the unbound excited fluorophore, I f . In this case, it is easy to show that application of the single-fluorophore quenching model results in a relation between I°/If and c Q given by eq , with K expressed by eq and Z by eq . Yet, in other cases, the emission spectra of F* and (FQ)* substantially overlap, and hence, both contribute to the observed fluorescence intensity, I f+ee , which is then expressed by,

If+eekfcF*+keec(FQ)*=kfkacFQkf+knr[1kic(FQ)*kacFQ]+keec(FQ)* 48

where the contribution from the fluorescence of F* was taken from eq . Given the expression of I° in eq and assuming (as before for dynamic mechanisms) ⟨c FQ = ⟨c F⟩, the ratio of fluorescence intensities is,

I°If+ee=[1(kika+(kf+knr)keekfka)c(FQ)*cF]1 49

The relation in eq has the same form as that of eq . By applying the single-fluorophore quenching model, that is, expressing ⟨c (FQ)*⟩ by eq , it follows that the dependency of I°/If+ee on c Q is also obeying eq , with K described in eq and Z equals,

Zee(kika+(kf+knr)keekfka)cFtotalcF=(kika+(kf+knr)keekfka)1NF 50

Conclusions

Deviations of fluorescence quenching data from the linear behavior predicted by the Stern–Volmer equation have been reported extensively in the literature. The accepted dogma is that linearity is observed only when a single mechanism drives the quenching process, whereas positive deviations are attributed for simultaneous action of dynamic and static mechanisms. Nevertheless, in many cases, this explanation is not supported by other, independent, criteria for a dual quenching scenario. In some reports, it is quite the opposite; involvement of a second mechanism is ruled-out. In this paper, we derive an equation to quantify the reduction in fluorescence intensity under steady-state conditions when a quencher is introduced into the system. We assume the same chemical reactions and processes as those leading to the Stern–Volmer equation for dynamic and static mechanisms. However, instead of assuming that all fluorophores are in quasi-equilibrium with all quenchers in the system, we hypothesize that each fluorophore is in quasi-equilibrium with only a small set of quenchers present in its close proximity. This divides the whole system into many small subsystems considered to be independent. The difference in considering many small subsystems as opposed to one large system is in the expressions of two-body interactions. Because there are only finite numbers of particles in each of the subsystems, the second-order reaction rates in eq and eq should be expressed by the average of the product of fluorophore and quencher concentrations, and not by (the common expression of) the product of the average of each concentration. As a consequence, the “equilibrium” concentration of fluorophore-quencher complex in a small system is different than that in a large system even if these two systems contain the same (total) concentrations of fluorophore and quencher molecules. By taking into account these correlations (couplings) between reactants’ concentrations, we obtained a relation, eq , that when using a (steady-state) fluorophore-quencher association constant, K, in units of M –1, has the form,

I°I=1+ZK[Q]T1+(1Z)K[Q]T 51

with [Q] T the total concentration of quencher in the subsystem, and Z , a dimensionless quantity given in eq and eq for dynamic and static mechanisms, respectively. Depending on the system’s conditions, the ratio I° /I as a function of [Q] T can exhibit linear behavior, as well as upward ( Z>1 ) and downward ( Z<1 ) curvatures, even when only a single mechanism is operational. Still, downward curvatures induced by a static mechanism should be described by eq instead, because in static quenching, Zs is physically meaningful only when it is equal to or larger than 1. We note that when the quencher concentration is low enough, or alternatively when Z1 , the relation reduces to the linear Stern–Volmer equation, with ZK equals K SV. From the expression of Zd in dynamic quenching, it is evident that upward (downward) curvatures of SV plots are seen when the maximum rate of quenching is larger (smaller) than the production rate of the excited fluorophore.

The proposed model, in which the system is partitioned into subsystems each containing a single fluorophore with nearby surrounding quenchers, represents a collection of spatially confined fluorescence quenching activities. We therefore utilized eq (or eq for downward curvatures by static mechanisms) as a two-parameter fitting equation to model experimental fluorescence quenching data (reported in the literature) of a large variety of systems in which the fluorophore, and likely the quencher, are under various types of translational restrictions. These include micelles, metal–organic frameworks, polymers, microemulsions, lipid membranes, and nanoparticles. The results of the fitting are very good. In cases in which the low-concentration regime exhibited a linear behavior, the value of K SV extracted from the Stern–Volmer equation by the authors is similar to the value of ZK we obtained from the fitting of the entire concentration range. Intriguingly, we also applied this model to quenching data of fluorophores and quenchers that are dissolved in organic or aqueous, homogeneous solutions. The results were excellent as well. We conjecture that within time periods of binding cycles, quenchers are not able to diffuse far enough from their partner fluorophore, and a ’bounding’ force exists (albeit with a small magnitude) to keep the same group of quenchers around the fluorophore.

Last, remarkably, the quenching equation we propose (in either form, eq or eq ) can also describe reductions of fluorescence intensities in systems where the fluorophore-quencher excited complex is fluorescent.

Supplementary Material

ao5c13199_si_001.pdf (709.4KB, pdf)

Acknowledgments

This work was supported by the M-ERA.NET project PCI2025-163171, funded by the Agencia Estatal de Investigación through the Proyectos de Colaboración Internacional (PCI) call. We thank S.G. and S.P.B. for providing tabulated data of an SV plot they published in the literature that was not possible to retrieve using Engauge Digitizer.

The Supporting Information is available free of charge at https://pubs.acs.org/doi/10.1021/acsomega.5c13199.

  • Evaluation of the model on 151 experimental SV plots (SI-1–SI-11); derivation of simultaneous dynamic and static quenching of single-fluorophore systems (SI-12); comparison of the values of ZK obtained from fitting the model with experimental K SV values extracted at low quencher’s concentrations (SI-13) (PDF)

The author declares no competing financial interest.

References

  1. Stern O., Volmer M.. Uber die Abklingungszeit der Fluoreszenz̈. Phys. Z. 1919;20:183–188. [Google Scholar]
  2. Di Giambattista M., Ide G., Engelborghs Y., Cocito C.. Analysis of Fluorescence Quenching of Ribosome-bound Virginiamycin S*. J. Biol. Chem. 1984;259:6334–6339. doi: 10.1016/S0021-9258(20)82145-0. [DOI] [PubMed] [Google Scholar]
  3. Fraiji L. K., Hayes D. M., Werner T. C.. Static and Dynamic Fluorescence Quenching Experiments for the Physical Chemistry Laboratory. J. Chem. Educ. 1992;69:424. doi: 10.1021/ed069p424. [DOI] [Google Scholar]
  4. Patil N., Melavanki R., Kapatkar S., Chandrashekhar K., Patil H., Umapathy S.. Fluorescence quenching of biologically active carboxamide by aniline and carbon tetrachloride in different solvents using Stern-Volmer plots. Spectrochim. Acta, Part A. 2011;79:1985–1991. doi: 10.1016/j.saa.2011.05.104. [DOI] [PubMed] [Google Scholar]
  5. żamojć K., Bylińska I., Wiczk W., Chmurzyński L.. Fluorescence Quenching Studies on the Interactions between Chosen Fluoroquinolones and Selected Stable TEMPO and PROXYL Nitroxides. Int. J. Mol. Sci. 2021;22:885. doi: 10.3390/ijms22020885. [DOI] [PMC free article] [PubMed] [Google Scholar]
  6. Tanwar A. S., Chanu M. A., Parui R., Barman D., Im Y.-H., Iyer P. K.. Dynamic quenching mechanism based optical detection of carcinogenic Cr­(vi) in water and on economical paper test strips via a conjugated polymer. RSC Appl. Polym. 2024;2:196–204. doi: 10.1039/D3LP00195D. [DOI] [Google Scholar]
  7. Weber G.. The quenching of fluorescence in liquids by complex formation. Determination of the mean life of the complex. Trans. Faraday Soc. 1948;44:185–189. doi: 10.1039/tf9484400185. [DOI] [Google Scholar]
  8. Weller A.. Outer and inner mechanism of reactions of excited molecules. Discuss. Faraday Soc. 1959;27:28–33. doi: 10.1039/df9592700028. [DOI] [Google Scholar]
  9. Vaughn W. M., Weber G.. Oxygen quenching of pyrenebutyric acid fluorescence in water. a dynamic probe of the microenvironment. Biochemistry. 1970;9:464–473. doi: 10.1021/bi00805a003. [DOI] [PubMed] [Google Scholar]
  10. Mote U. S., Bhattar S. L., Patil S. R., Kolekar G. B.. Interaction between felodipine and bovine serum albumin: fluorescence quenching study. Luminescence. 2010;25:1–8. doi: 10.1002/bio.1130. [DOI] [PubMed] [Google Scholar]
  11. Akbay N., Seferoǧlu Z., Gök E.. Fluorescence Interaction and Determination of Calf Thymus DNA with Two Ethidium Derivatives. J. Chem. Phys. 2009;19:1045–1051. doi: 10.1007/s10895-009-0504-9. [DOI] [PubMed] [Google Scholar]
  12. Anand U., Jash C., Boddepalli R. K., Shrivastava A., Mukherjee S.. Exploring the Mechanism of Fluorescence Quenching in Proteins Induced by Tetracycline. J. Phys. Chem. B. 2011;115:6312–6320. doi: 10.1021/jp2008978. [DOI] [PubMed] [Google Scholar]
  13. Pan B., Han X., Wu M., Peng H., Zhang D., Li H., Xing B.. Temperature dependence of ofloxacin fluorescence quenching and complexation by Cu­(II) Environ. Pollut. 2012;171:168–173. doi: 10.1016/j.envpol.2012.07.046. [DOI] [PubMed] [Google Scholar]
  14. Lavrik N. L., Bazhin N. M.. On the Question of Defining the Association Constants by the Method of Fluorescence Quenching. Am. J. Anal. Chem. 2014;05:1065–1068. doi: 10.4236/ajac.2014.516113. [DOI] [Google Scholar]
  15. Ciotta E., Prosposito P., Pizzoferrato R.. Positive curvature in Stern-Volmer plot described by a generalized model for static quenching. J. Lumin. 2019;206:518–522. doi: 10.1016/j.jlumin.2018.10.106. [DOI] [Google Scholar]
  16. Genovese D., Cingolani M., Rampazzo E., Prodi L., Zaccheroni N.. Static quenching upon adduct formation: a treatment without shortcuts and approximations. Chem. Soc. Rev. 2021;50:8414–8427. doi: 10.1039/D1CS00422K. [DOI] [PubMed] [Google Scholar]
  17. Bowen E. J., Metcalf W. S.. The quenching of anthracene fluorescence. Proc. R. Soc. London, Ser. A. 1951;206:437–447. doi: 10.1098/rspa.1951.0080. [DOI] [Google Scholar]
  18. Geddes C. D.. Optical halide sensing using fluorescence quenching: theory, simulations and applications - a review. Meas. Sci. Technol. 2001;12(9):R53–R88. doi: 10.1088/0957-0233/12/9/201. [DOI] [Google Scholar]
  19. Mátyus L., Szöllösi J., Jenei A.. Steady-state fluorescence quenching applications for studying protein structure and dynamics. J. Photochem. Photobiol., B. 2006;83:223–236. doi: 10.1016/j.jphotobiol.2005.12.017. [DOI] [PubMed] [Google Scholar]
  20. Boaz H., Rollefson G. K.. The Quenching of Fluorescence. Deviations from the Stern-Volmer Law. J. Am. Chem. Soc. 1950;72:3435–3443. doi: 10.1021/ja01164a032. [DOI] [Google Scholar]
  21. Bieri V., Wallach D.. Fluorescence quenching in lecithin and lecithin/cholesterol liposomes by parmagenetic lipid analogues. Introduction of a new probe approach. Biochim. Biophys. Acta. 1975;389:413–427. doi: 10.1016/0005-2736(75)90152-2. [DOI] [PubMed] [Google Scholar]
  22. Puskin J., Vistnes A., Coene M.. A Fluorescence Study of A23187 Interaction with Phospholipid Vesicles. Arch. Biochem. Biophys. 1981;206:164–172. doi: 10.1016/0003-9861(81)90077-1. [DOI] [PubMed] [Google Scholar]
  23. Hutterer R., Krämer K., Schneider F., Hof M.. The localization of the local anesthetic tetracaine in phospholipid vesicles: A fluorescence quenching and resonance energy transfer study. Chem. Phys. Lipids. 1997;90:11–23. doi: 10.1016/S0009-3084(97)00087-X. [DOI] [Google Scholar]
  24. Gehlen M. H.. The centenary of the Stern-Volmer equation of fluorescence quenching: From the single line plot to the SV quenching map. J. Photochem. Photobiol. C: Photochem. Rev. 2020;42:100338. doi: 10.1016/j.jphotochemrev.2019.100338. [DOI] [Google Scholar]
  25. Lakowicz, J. R. Principles of Fluorescence Spectroscopy; Springer: US: Boston, MA, 1983; pp 257–301. [Google Scholar]
  26. Lakowicz J. R., Weber G.. Quenching of Fluorescence by Oxygen. A Probe for Structural Fluctuations in Macromolecules. Biochemistry. 1973;12:4161–4170. doi: 10.1021/bi00745a020. [DOI] [PMC free article] [PubMed] [Google Scholar]
  27. Behera P., Mukherjee T., Mishra A.. Simultaneous presence of static and dynamic component in the fluorescence quenching for substituted naphthalene-CCl4 system. J. Lumin. 1995;65:131–136. doi: 10.1016/0022-2313(95)00067-Z. [DOI] [Google Scholar]
  28. Soemo A. R., Pemberton J. E.. Combined Quenching Mechanism of Anthracene Fluorescence by Cetylpyridinium Chloride in Sodium Dodecyl Sulfate Micelles. J. Fluoresc. 2014;24:295–299. doi: 10.1007/s10895-013-1319-2. [DOI] [PubMed] [Google Scholar]
  29. Tanwar A. S., Parui R., Garai R., Chanu M. A., Iyer P. K.. Dual ”Static and Dynamic” Fluorescence Quenching Mechanisms Based Detection of TNT via a Cationic Conjugated Polymer. ACS Meas. Sci. Au. 2022;2:23–30. doi: 10.1021/acsmeasuresciau.1c00023. [DOI] [PMC free article] [PubMed] [Google Scholar]
  30. Ayimbila F., Tantimongcolwat T., Ruankham W., Pingaew R., Prachayasittikul V., Worachartcheewan A., Prachayasittikul V., Prachayasittikul S., Phopin K.. Insight into the binding mechanisms of fluorinated 2-aminothiazole sulfonamide and human serum albumin: Spectroscopic and in silico approaches. Int. J. Biol. Macromol. 2024;277:134048. doi: 10.1016/j.ijbiomac.2024.134048. [DOI] [PubMed] [Google Scholar]
  31. Chen J.-K., Yang S.-M., Li B.-H., Lin C.-H., Lee S.. Fluorescence Quenching Investigation of Methyl Red Adsorption on Aluminum-Based Metal-Organic Frameworks. Langmuir. 2018;34:1441–1446. doi: 10.1021/acs.langmuir.7b04240. [DOI] [PubMed] [Google Scholar]
  32. Hollett G., Roberts D. S., Sewell M., Wensley E., Wagner J., Murray W., Krotz A., Toth B., Vijayakumar V., Sailor M. J.. Quantum Ensembles of Silicon Nanoparticles: Discrimination of Static and Dynamic Photoluminescence Quenching Processes. J. Phys. Chem. C. 2019;123:17976–17986. doi: 10.1021/acs.jpcc.9b04334. [DOI] [PMC free article] [PubMed] [Google Scholar]
  33. Zhang Y., Xu F., Yao J., Liu S.-S., Lei B., Tang L., Sun H., Wu M.. Spontaneous interactions between typical antibiotics and soil enzyme: Insights from multi-spectroscopic approaches, XPS technology, molecular modeling, and joint toxic actions. J. Hazard. Mater. 2024;480:135990. doi: 10.1016/j.jhazmat.2024.135990. [DOI] [PubMed] [Google Scholar]
  34. Frank J. M., Wawilow S. J.. Über die Wirkungssphäre der Auslöschungsvorgänge in den fluoreszierenden Flüssigkeiten. Z. Phys. 1931;69:100–110. doi: 10.1007/BF01391516. [DOI] [Google Scholar]
  35. Kumar H. S., Kunabenchi R., Biradar J., Math N., Kadadevarmath J., Inamdar S.. Analysis of fluorescence quenching of new indole derivative by aniline using Stern-Volmer plots. J. Lumin. 2006;116:35–42. doi: 10.1016/j.jlumin.2005.02.012. [DOI] [Google Scholar]
  36. Hanagodimath S. M., Manohara D. S. B., Biradar D. S., Hadimani S. K. B.. Fluorescence Quenching of 2,2”-dimethyl-p-terphenyl by Carbon Tetrachloride in Binary Mixtures. Spectrosc. Lett. 2008;41:242–250. doi: 10.1080/00387010802225567. [DOI] [Google Scholar]
  37. Koppal V. V., Melavanki R., Kusanur R., Bagewadi Z. K., Yaraguppi D. A., Deshpande S. H., Patil N. R.. Investigation of the Fluorescence Turn-off Mechanism, Genome, Molecular Docking In Silico and In Vitro Studies of 2-Acetyl-3H-benzo­[f]­chromen-3-one. ACS Omega. 2022;7:23759–23770. doi: 10.1021/acsomega.2c02424. [DOI] [PMC free article] [PubMed] [Google Scholar]
  38. Jena S., Tulsiyan K. D., Sahoo R. R., Rout S., Sahu A. K., Biswal H. S.. Critical assessment of selenourea as an efficient small molecule fluorescence quenching probe to monitor protein dynamics. Chem. Sci. 2023;14:14200–14210. doi: 10.1039/D3SC04287A. [DOI] [PMC free article] [PubMed] [Google Scholar]
  39. Fossum C. J., Johnson B. O. V., Golde S. T., Kielman A. J., Finke B., Smith M. A., Lowater H. R., Laatsch B. F., Bhattacharyya S., Hati S.. Insights into the Mechanism of Tryptophan Fluorescence Quenching due to Synthetic Crowding Agents: A Combined Experimental and Computational Study. ACS Omega. 2023;8:44820–44830. doi: 10.1021/acsomega.3c06006. [DOI] [PMC free article] [PubMed] [Google Scholar]
  40. Castanho M. A., Prieto M. J.. Fluorescence quenching data interpretation in biological systems: The use of microscopic models for data analysis and interpretation of complex systems. Biochim. Biophys. Acta. 1998;1373:1–16. doi: 10.1016/S0005-2736(98)00081-9. [DOI] [PubMed] [Google Scholar]
  41. Rosspeintner A., Kattnig D., Angulo G., Landgraf S., Grampp G., Cuetos A.. On the Coherent Description of Diffusion-Influenced Fluorescence Quenching Experiments. Chem. - Eur. J. 2007;13:6474–6483. doi: 10.1002/chem.200700106. [DOI] [PubMed] [Google Scholar]
  42. Shaw M., Samanta D., Shaik M. A. S., Bhattacharya A., Basu R., Mondal I., Pathak A.. Solvent-induced switching between static and dynamic fluorescence quenching of N, S Co-doped carbon dots in sensing of Crotonaldehyde: A detailed systematic study. Opt. Mater. 2023;137:113600. doi: 10.1016/j.optmat.2023.113600. [DOI] [Google Scholar]
  43. Wang J., Wang D., Miller E. K., Moses D., Bazan G. C., Heeger A. J.. Photoluminescence of Water-Soluble Conjugated Polymers: Origin of Enhanced Quenching by Charge Transfer. Macromolecules. 2000;33:5153–5158. doi: 10.1021/ma000081j. [DOI] [Google Scholar]
  44. Singh D. K., Iyer P. K., Giri P.. Role of molecular interactions and structural defects in the efficient fluorescence quenching by carbon nanotubes. Carbon. 2012;50:4495–4505. doi: 10.1016/j.carbon.2012.05.030. [DOI] [Google Scholar]
  45. Cabré E. J., Martínez-Calle M., Prieto M., Fedorov A., Olmeda B., Loura L. M., Pérez-Gil J.. Homo- and hetero-oligomerization of hydrophobic pulmonary surfactant proteins SP-B and SP-C in surfactant phospholipid membranes. J. Biol. Chem. 2018;293:9399–9411. doi: 10.1074/jbc.RA117.000222. [DOI] [PMC free article] [PubMed] [Google Scholar]
  46. Noyes R. M.. The Competition of Unimolecular and Bimolecular Processes with Special Applications to the Quenching of Fluorescence in Solution. J. Am. Chem. Soc. 1957;79:551–555. doi: 10.1021/ja01560a014. [DOI] [Google Scholar]
  47. Felderhof B. U., Deutch J. M.. Concentration dependence of the rate of diffusion-controlled reactions. J. Chem. Phys. 1976;64:4551–4558. doi: 10.1063/1.432087. [DOI] [Google Scholar]
  48. Peak D., Werner T. C., Richard D. M., Baird J. K.. Fluorescence quenching at high quencher concentrations. J. Chem. Phys. 1983;79:3328–3335. doi: 10.1063/1.446234. [DOI] [Google Scholar]
  49. Keizer J.. Nonlinear Fluorescence Quenching and the Origin of Positive Curvature in Stern-Volmer Plots. J. Am. Chem. Soc. 1983;105:1494–1498. doi: 10.1021/ja00344a013. [DOI] [Google Scholar]
  50. Szabo A.. Theory of diffusion-influenced fluorescence quenching. J. Phys. Chem. A. 1989;93:6929–6939. doi: 10.1021/j100356a011. [DOI] [Google Scholar]
  51. Rubinovich L., Polak M.. Unraveling the Distinct Relationship between the Extent of a Nanoconfined Reaction and the Equilibrium Constant. J. Phys. Chem. C. 2021;125:452–457. doi: 10.1021/acs.jpcc.0c08746. [DOI] [Google Scholar]
  52. Zangi R.. Binding Reactions at Finite Systems. Phys. Chem. Chem. Phys. 2022;24:9921–9929. doi: 10.1039/D1CP05984J. [DOI] [PubMed] [Google Scholar]
  53. Zangi R.. Statistical Mechanics of Dimerizations and its Consequences for Small Systems. Phys. Chem. Chem. Phys. 2022;24:28804–28813. doi: 10.1039/D2CP04450A. [DOI] [PubMed] [Google Scholar]
  54. Zangi R.. Multimerizations, Aggregation, and Transfer Reactions of Small Numbers of Molecules. J. Chem. Inf. Model. 2023;63:4383–4391. doi: 10.1021/acs.jcim.3c00774. [DOI] [PMC free article] [PubMed] [Google Scholar]
  55. Zangi R.. Breakdown of Langmuir Adsorption Isotherm in Small Closed Systems. Langmuir. 2024;40:3900–3910. doi: 10.1021/acs.langmuir.3c03894. [DOI] [PMC free article] [PubMed] [Google Scholar]
  56. Mitchell, M. ; Jedrzejewski-Szmek, Z. ; Muftakhidinov, B. ; Winchen, T. . Engauge Digitizer, version 7 2016. https://markummitchell.github.io/engauge-digitizer/, March 5,.
  57. Rubio M., Lissi E.. Fluorescence quenching by acrylamide in micellar solutions. J. Photochem. Photobiol. A. 1993;71:175–179. doi: 10.1016/1010-6030(93)85070-O. [DOI] [Google Scholar]
  58. Samanta P., Rane S., Bahadur P., Choudhury S. D., Pal H.. Tetronic Star Block Copolymer Micelles: Photophysical Characterization of Microenvironments and Applicability for Tuning Electron Transfer Reactions. J. Phys. Chem. B. 2018;122:6079–6093. doi: 10.1021/acs.jpcb.8b01778. [DOI] [PubMed] [Google Scholar]
  59. Buchviser S. F., Gehlen M. H.. Quenching kinetics of the acridine excited state by vinyl monomers in homogeneous and micellar solution. J. Chem. Soc., Faraday Trans. 1997;93:1133–1139. doi: 10.1039/a605032h. [DOI] [Google Scholar]
  60. Sharma S. N.. Photoinduced charge transfer mechanism in PPV [poly (p-phenylinevinylene)] polymer: role of iodide species. Colloid Polym. Sci. 2006;284:853–861. doi: 10.1007/s00396-005-1444-9. [DOI] [Google Scholar]
  61. Liu C.-P., Lin T.-E., Chiang J.-C., Chen B.-J., Chien P.-H., Chien S.-Y., Lee G.-H., Liu Y.-H., Lu K.-L.. An exceptional water stable terbium-based metal-organic framework for selective detection of pesticides. RSC Adv. 2024;14:35220–35226. doi: 10.1039/D4RA06622G. [DOI] [PMC free article] [PubMed] [Google Scholar]
  62. Novaira A. I., Previtali C. M.. Photophysics of anthracene-indole systems in unilamellar vesicles of DMPC and POPC: Exciplex formation and temperature effects. J. Photochem. Photobiol., B. 2006;85:102–108. doi: 10.1016/j.jphotobiol.2006.05.002. [DOI] [PubMed] [Google Scholar]
  63. Far L. a., Zeković I., Periša J., Ristić Z., Alodhayb A., Dramićanin M. D., Antić Ž.. Luminescent Eu3. doped SrF2 nanoparticles for fluorescent detection of fertilizers. Opt. Mater. 2023;142:114061. doi: 10.1016/j.optmat.2023.114061. [DOI] [Google Scholar]
  64. Padhan P., Sethy A., Behera P.. Host-guest interaction between Ofloxacin-β-Cyclodextrin complexes in acidic and neutral pH: A fluorescence quenching study. J. Photochem. Photobiol. A Chem. 2017;337:165–171. doi: 10.1016/j.jphotochem.2017.01.015. [DOI] [Google Scholar]
  65. Jelokhani-Niaraki M., Nakashima K., Kodama H., Kondo M.. Interaction and Orientation of an α-Aminoisobutyric Acid- and Tryptophan-Containing Short Helical Peptide Pore-Former in Phospholipid Vesicles, as Revealed by Fluorescence Spectroscopy. J. Biochem. 1998;123:790–797. doi: 10.1093/oxfordjournals.jbchem.a022006. [DOI] [PubMed] [Google Scholar]
  66. Ghosh S., Steinke F., Rana A., Alam M., Biswas S.. A Metal-Organic Framework with Allyloxy Functionalization for Aqueous-Phase Fluorescence Recognition of Pd­(II) Ion. Eur. J. Inorg. Chem. 2021;2021:3846–3851. doi: 10.1002/ejic.202100568. [DOI] [Google Scholar]
  67. Ranjit S., Levitus M.. Probing the Interaction Between Fluorophores and DNA Nucleotides by Fluorescence Correlation Spectroscopy and Fluorescence Quenching. Photochem. Photobiol. 2012;88:782–791. doi: 10.1111/j.1751-1097.2012.01121.x. [DOI] [PubMed] [Google Scholar]
  68. Monteiro J. P., Martins A. F., Lúcio M., Reis S., Pinheiro T. J., Geraldes C. F., Oliveira P. J., Jurado A. S.. Nimesulide interaction with membrane model systems: Are membrane physical effects involved in nimesulide mitochondrial toxicity? Toxicol. In Vitro. 2011;25:1215–1223. doi: 10.1016/j.tiv.2011.05.014. [DOI] [PubMed] [Google Scholar]
  69. Dahiya V., Chaubey B., Dhaharwal A. K., Pal S.. Solvent-dependent binding interactions of the organophosphate pesticide, chlorpyrifos (CPF), and its metabolite, 3,5,6-trichloro-2-pyridinol (TCPy), with Bovine Serum Albumin (BSA): A comparative fluorescence quenching analysis. Pestic. Biochem. Physiol. 2017;139:92–100. doi: 10.1016/j.pestbp.2017.04.011. [DOI] [PubMed] [Google Scholar]
  70. Bharadwaj K., Choudhary H., Hazra S., Ghosh S.. Study of Interfacial Charge Transfer from an Electron Rich Organic Molecule to CdTe Quantum Dot by using Stern-Volmer and Stochastic Kinetic Models. ChemPhysChem. 2020;21:415–422. doi: 10.1002/cphc.201901159. [DOI] [PubMed] [Google Scholar]
  71. Dey A., Vishvakarma V., Das A., Kallianpur M., Dey S., Joseph R., Maiti S.. Single Molecule Measurements of the Accessibility of Molecular Surfaces. Front. Mol. Biosci. 2021;8:745313. doi: 10.3389/fmolb.2021.745313. [DOI] [PMC free article] [PubMed] [Google Scholar]
  72. Tablet C., Matei I., Hillebrand M.. Experimental study of the interaction of some coumarin derivatives with aniline in Triton-X-100 micelles. J. Mol. Liq. 2011;160:57–62. doi: 10.1016/j.molliq.2011.02.013. [DOI] [Google Scholar]
  73. Kumbhakar M., Nath S., Mukherjee T., Pal H.. Intermolecular electron transfer between coumarin dyes and aromatic amines in Triton-X-100 micellar solutions: Evidence for Marcus inverted region. J. Chem. Phys. 2004;120:2824–2834. doi: 10.1063/1.1638739. [DOI] [PubMed] [Google Scholar]
  74. Blatt E., Chatelier R., Sawyer W.. Effects of Quenching Mechanism and Type of Quencher Association on Stern-Volmer Plots in Compartmentalized Systems. Biophys. J. 1986;50:349–356. doi: 10.1016/S0006-3495(86)83468-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  75. Cramb D., Beck S.. Fluorescence quenching mechanisms in micelles: the effect of high quencher concentration. J. Photochem. Photobiol., A. 2000;134:87–95. doi: 10.1016/S1010-6030(00)00249-5. [DOI] [Google Scholar]
  76. Kumbhakar M., Nath S., Pal H., Sapre A. V., Mukherjee T.. Photoinduced intermolecular electron transfer from aromatic amines to coumarin dyes in sodium dodecyl sulphate micellar solutions. J. Chem. Phys. 2003;119:388–399. doi: 10.1063/1.1578059. [DOI] [Google Scholar]
  77. Timpe H.-J., Israel G., Becker H., Gould I. R., Turro N. J.. Photoinduced electron transfer between aromatic hydrocarbons and arene diazonium salts in micellar solutions. Chem. Phys. Lett. 1983;99:275–280. doi: 10.1016/0009-2614(83)87540-X. [DOI] [Google Scholar]
  78. Kumbhakar M., Nath S., Mukherjee T., Pal H.. Kinetics and mechanism of bimolecular electron transfer reaction in quinone-amine systems in micellar solution. J. Chem. Phys. 2005;122:084512. doi: 10.1063/1.1856457. [DOI] [PubMed] [Google Scholar]
  79. De Kroon A. I. P. M., Soekarjo M. W., De Gier J., De Kruijff B.. The Role of Charge and Hydrophobicity in Peptide-Lipid Interaction: A Comparative Study Based on Tryptophan Fluorescence Measurements Combined with the Use of Aqueous and Hydrophobic Quenchers. Biochemistry. 1990;29:8229–8240. doi: 10.1021/bi00488a006. [DOI] [PubMed] [Google Scholar]
  80. van Rooijen B., van Leijenhorst-Groener K., Claessens M., Subramaniam V.. Tryptophan Fluorescence Reveals Structural Features of α-Synuclein Oligomers. J. Mol. Biol. 2009;394:826–833. doi: 10.1016/j.jmb.2009.10.021. [DOI] [PubMed] [Google Scholar]
  81. Nagaoka S., Cowger M. L.. Interaction of Bilirubin with Lipids Studied by Fluorescence Quenching Method. J. Biol. Chem. 1978;253:2005–2011. doi: 10.1016/S0021-9258(19)62347-1. [DOI] [PubMed] [Google Scholar]
  82. Praet M., Defrise-Quertain F., Ruysschaert J.. Comparison of adriamycin and derivatives uptake into large unilamellar lipid vesicles in response to a membrane potential. Biochim. Biophys. Acta, Biomembranes. 1993;1148:342–350. doi: 10.1016/0005-2736(93)90148-S. [DOI] [PubMed] [Google Scholar]
  83. Ladokhin A., Wimley W., White S.. Leakage of Membrane Vesicle Contents: Determination of Mechanism Using Fluorescence Requenching. Biophys. J. 1995;69:1964–1971. doi: 10.1016/S0006-3495(95)80066-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  84. Lúcio M., Nunes C., Gaspar D., Gołȩbska K., Wisniewski M., Lima J., Brezesinski G., Reis S.. Effect of anti-inflammatory drugs in phosphatidylcholine membranes: A fluorescence and calorimetric study. Chem. Phys. Lett. 2009;471:300–309. doi: 10.1016/j.cplett.2009.02.047. [DOI] [Google Scholar]
  85. Jiang H., Zhao X., Schanze K. S.. Amplified Fluorescence Quenching of a Conjugated Polyelectrolyte Mediated by Ca2. . Langmuir. 2006;22:5541–5543. doi: 10.1021/la060429p. [DOI] [PubMed] [Google Scholar]
  86. López-Cabarcos E., Retama J. R., Sholin V., Carter S. A.. Controlling the photoluminescence of water-soluble conjugated poly­[2-(3-thienyl)­ethyloxy-4-butylsulfonate)] for biosensor applications. Polym. Int. 2007;56:588–592. doi: 10.1002/pi.2140. [DOI] [Google Scholar]
  87. Murphy C. B., Zhang Y., Troxler T., Ferry V., Martin J. J., Jones W. E.. Probing Förster and Dexter Energy-Transfer Mechanisms in Fluorescent Conjugated Polymer Chemosensors. J. Phys. Chem. B. 2004;108:1537–1543. doi: 10.1021/jp0301406. [DOI] [Google Scholar]
  88. Qin A., Tang L., Lam J. W. Y., Jim C. K. W., Yu Y., Zhao H., Sun J., Tang B. Z.. Metal-Free Click Polymerization: Synthesis and Photonic Properties of Poly­(aroyltriazole)­s. Adv. Funct. Mater. 2009;19:1891–1900. doi: 10.1002/adfm.200801933. [DOI] [Google Scholar]
  89. Nabeel F., Rasheed T., Mahmood M. F., Khan S. U.-D.. Hyperbranched copolymer based photoluminescent vesicular probe conjugated with tetraphenylethene: Synthesis, aggregation-induced emission and explosive detection. J. Mol. Liq. 2020;308:113034. doi: 10.1016/j.molliq.2020.113034. [DOI] [Google Scholar]
  90. Yin Y., Zhang S., He X., Xu X., Zhang G., Yang L., Kong L., Yang J.. A novel tetraphenylethylene-functionalized arylimidazole AIEgen for detections of picric acid and Cu2+ . Chem. Pap. 2021;75:6297–6306. doi: 10.1007/s11696-021-01795-5. [DOI] [Google Scholar]
  91. Podasca V. E., Chibac A. L., Buruiana E. C.. Fluorescence quenching study of a block copolymer with uracil end units by means of nitroaromatic derivatives and metal cations. J. Mol. Liq. 2019;292:111385. doi: 10.1016/j.molliq.2019.111385. [DOI] [Google Scholar]
  92. Bajpai A., Mukhopadhyay A., Krishna M. S., Govardhan S., Moorthy J. N.. A fluorescent paramagnetic Mn metal-organic framework based on semi-rigid pyrene tetracarboxylic acid: sensing of solvent polarity and explosive nitroaromatics. IUCrJ. 2015;2:552–562. doi: 10.1107/S2052252515012506. [DOI] [PMC free article] [PubMed] [Google Scholar]
  93. Xu L.-L., Zhang Q.-F., Wang D., Wu G.-W., Cai H.. Construction of a Luminescent Cadmium-Based Metal-Organic Framework for Highly Selective Discrimination of Ferric Ions. Molecules. 2021;26:6847. doi: 10.3390/molecules26226847. [DOI] [PMC free article] [PubMed] [Google Scholar]
  94. Sharma A., Kim D., Park J.-H., Rakshit S., Seong J., Jeong G. H., Kwon O.-H., Lah M. S.. Mechanistic insight into the sensing of nitroaromatic compounds by metal-organic frameworks. Commun. Chem. 2019;2:39. doi: 10.1038/s42004-019-0135-2. [DOI] [Google Scholar]
  95. Chen C., Zong S., Wang Z., Lu J., Zhu D., Zhang Y., Zhang R., Cui Y.. Visualization and intracellular dynamic tracking of exosomes and exosomal miRNAs using single molecule localization microscopy. Nanoscale. 2018;10:5154–5162. doi: 10.1039/C7NR08800K. [DOI] [PubMed] [Google Scholar]
  96. Ikai T., Yun C., Kojima Y., Suzuki D., Maeda K., Kanoh S.. Development of Amylose- and β-Cyclodextrin-Based Chiral Fluorescent Sensors Bearing Terthienyl Pendants. Molecules. 2016;21:1518. doi: 10.3390/molecules21111518. [DOI] [PMC free article] [PubMed] [Google Scholar]
  97. Schibilla F., Stegemann L., Strassert C. A., Rizzo F., Ravoo B. J.. Fluorescence quenching in β-cyclodextrin vesicles: membrane confinement and host-guest interactions. Photochem. Photobiol. Sci. 2016;15:235–243. doi: 10.1039/c5pp00226e. [DOI] [PubMed] [Google Scholar]
  98. Padhan P., Sethi R., Behera P.. Impact of host-guest complexation between norfloxacin and β-cyclodextrin on fluorescence quenching: Steady-state and time resolved fluorescence study. Indian J. Chem. 2023;62:437–444. doi: 10.56042/ijc.v62i5.1436. [DOI] [Google Scholar]
  99. Sadlej-Sosnowska N., Siemiarczuk A.. A time resolved and steady-state fluorescence quenching study on naproxen and its cyclodextrin complexes in water. Photochem. Photobiol. A: Chem. 2001;138:35–40. doi: 10.1016/S1010-6030(00)00375-0. [DOI] [Google Scholar]
  100. Lim C. W., Ravoo B. J., Reinhoudt D. N.. Dynamic multivalent recognition of cyclodextrin vesicles. Chem. Commun. 2005:5627–5629. doi: 10.1039/b510540d. [DOI] [PubMed] [Google Scholar]
  101. Kano K., Yamaguchi T., Ogawa T.. Fluorescence Studies on Morphological Change of Oil-in-Water Microemulsions upon Dilution with Water. J. Phys. Chem. A. 1984;88:793–796. doi: 10.1021/j150648a035. [DOI] [Google Scholar]
  102. Panda M., Mishra A., Behera P., Mishra B., Behera G.. Photochemistry in microemulsions: Fluorescence quenching of naphthols and their O-alkyl derivatives by CCl4. J. lumin. 1996;69:95–104. doi: 10.1016/0022-2313(96)00085-3. [DOI] [Google Scholar]
  103. Wan Z.-L., Wang J.-M., Wang L.-Y., Yang X.-Q., Yuan Y.. Enhanced Physical and Oxidative Stabilities of Soy Protein-Based Emulsions by Incorporation of a Water-Soluble Stevioside-Resveratrol Complex. J. Agric. Food Chem. 2013;61:4433–4440. doi: 10.1021/jf4003945. [DOI] [PubMed] [Google Scholar]
  104. Biswas S., Bhattacharya S. C., Moulik S. P.. Quenching of fluorescence of 1-hydroxypyrene-3,6,8-trisulfonate (HPTS) by Cu2+, Co2+, Ni2., I–, and cetylpyridinium (CP+) ions in water/AOT/heptane microemulsion. J. Colloid Interface Sci. 2004;271:157–162. doi: 10.1016/j.jcis.2003.09.038. [DOI] [PubMed] [Google Scholar]
  105. Ahmad M., Bushra R., Ritzoulis C.. Pectin-mucin interactions: Insights from fluorimetry, thermodynamics and dual (static and dynamic) quenching mechanisms. Int. J. Biol. Macromol. 2024;277:134564. doi: 10.1016/j.ijbiomac.2024.134564. [DOI] [PubMed] [Google Scholar]
  106. Silva D., Cortez C. M., Louro S. R.. Chlorpromazine interactions to sera albumins: A study by the quenching of fluorescence. Spectrochim. Acta A Mol. Biomol. Spectrosc. 2004;60:1215–1223. doi: 10.1016/j.saa.2003.08.003. [DOI] [PubMed] [Google Scholar]
  107. Costa-Tuna A., Chaves O. A., Loureiro R. J., Pinto S., Pina J., Serpa C.. Interaction between a water-soluble anionic porphyrin and human serum albumin unexpectedly stimulates the aggregation of the photosensitizer at the surface of the albumin. Int. J. Biol. Macromol. 2024;255:128210. doi: 10.1016/j.ijbiomac.2023.128210. [DOI] [PubMed] [Google Scholar]
  108. Geethanjali H., Nagaraja D., Melavanki R.. Exploring the mechanism of fluorescence quenching in two biologically active boronic acid derivatives using Stern-Volmer kinetics. J. Mol. Liq. 2015;209:669–675. doi: 10.1016/j.molliq.2015.06.025. [DOI] [Google Scholar]
  109. Swaminathan M., Radha N.. Static and dynamic model for 4-aminodiphenyl fluorescence quenching by carbontetrachloride in hexane. Spectrochim. Acta, Part A. 2004;60:1839–1843. doi: 10.1016/j.saa.2003.09.023. [DOI] [PubMed] [Google Scholar]
  110. Naik A. B., Naik L., Kadadevarmath J., Pal H., Rao V. J.. Fluorescence quenching of anthrylvinyl acetate by carbon tetrachloride. J. Photochem. Photobiol. A Chem. 2010;214:145–151. doi: 10.1016/j.jphotochem.2010.06.018. [DOI] [Google Scholar]
  111. Shahbaz M., Sharif S., Saeed M., Ashraf A., Afzal T. T. R.. A facile and highly selective fluorimetric chemosensor 1,2,4-Aminonaphthol sulfonic acid for detection of copper ions in aqueous medium. J. Lumin. 2023;263:120149. doi: 10.1016/j.jlumin.2023.120149. [DOI] [Google Scholar]
  112. Kumar A., Saha M., Saraswat J., Behera K., Trivedi S.. Interaction between antidepressant drug trazodone with double-stranded DNA: Multi-spectroscopic and computational analysis. Int. J. Biol. Macromol. 2024;277:134113. doi: 10.1016/j.ijbiomac.2024.134113. [DOI] [PubMed] [Google Scholar]
  113. Htun T.. A negative deviation from Stern-Volmer equation in fluorescence quenching. J. Fluoresc. 2004;14:217–222. doi: 10.1023/B:JOFL.0000016294.96775.fd. [DOI] [PubMed] [Google Scholar]
  114. Ware W. R., Watt D., Holmes J. D.. Exciplex photophysics. I. The α-Cyanonaphthalene-Olefin System. J. Am. Chem. Soc. 1974;96:7853–7860. doi: 10.1021/ja00833a002. [DOI] [Google Scholar]
  115. Rath M. C., Pal H., Mukherjee T.. Excited Singlet (S1) State Interactions of 6,11-Dihydroxy-5,12-naphthacenequinone with Aromatic Hydrocarbons. J. Phys. Chem. A. 2001;105:7945–7956. doi: 10.1021/jp003420j. [DOI] [Google Scholar]
  116. Yadav A., Trivedi S., Haridas V., Essner J. B., Baker G. A., Pandey S.. Effect of ionic liquid on the fluorescence of an intramolecular exciplex forming probe. Photochem. Photobiol. Sci. 2020;19:251–260. doi: 10.1039/c9pp00458k. [DOI] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

ao5c13199_si_001.pdf (709.4KB, pdf)

Articles from ACS Omega are provided here courtesy of American Chemical Society

RESOURCES