Minireview Minireview: demystifying microbial reaction energetics

The biology literature is rife with misleading information on how to quantify catabolic reaction energetics. The principal misconception is that the sign and value of the standard Gibbs energy (ΔGr ) define the direction and energy yield of a reaction; they do not. ΔGr is one part of the actual Gibbs energy of a reaction (ΔGr), with a second part accounting for deviations from the standard composition. It is also frequently assumed that ΔGr applies only to 25 C and 1 bar; it does not. ΔGr is a function of temperature and pressure. Here, we review how to determine ΔGr as a function of temperature, pressure and chemical composition for microbial catabolic reactions, including a discussion of the effects of ionic strength on ΔGr and highlighting the large effects when multi-valent ions are part of the reaction. We also calculate ΔGr for five example catabolisms at specific environmental conditions: aerobic respiration of glucose in freshwater, anaerobic respiration of acetate in marine sediment, hydrogenotrophic methanogenesis in a laboratory batch reactor, anaerobic ammonia oxidation in a wastewater reactor and aerobic pyrite oxidation in acid mine drainage. These examples serve as templates to determine the energy yields of other catabolic reactions at environmentally relevant conditions.

The biology literature is rife with misleading information on how to quantify catabolic reaction energetics. The principal misconception is that the sign and value of the standard Gibbs energy (ΔG 0 r ) define the direction and energy yield of a reaction; they do not. ΔG 0 r is one part of the actual Gibbs energy of a reaction (ΔG r ), with a second part accounting for deviations from the standard composition. It is also frequently assumed that ΔG 0 r applies only to 25 C and 1 bar; it does not. ΔG 0 r is a function of temperature and pressure. Here, we review how to determine ΔG r as a function of temperature, pressure and chemical composition for microbial catabolic reactions, including a discussion of the effects of ionic strength on ΔG r and highlighting the large effects when multi-valent ions are part of the reaction. We also calculate ΔG r for five example catabolisms at specific environmental conditions: aerobic respiration of glucose in freshwater, anaerobic respiration of acetate in marine sediment, hydrogenotrophic methanogenesis in a laboratory batch reactor, anaerobic ammonia oxidation in a wastewater reactor and aerobic pyrite oxidation in acid mine drainage. These examples serve as templates to determine the energy yields of other catabolic reactions at environmentally relevant conditions.

Introduction
Microbial catabolic reactions, in fact all chemical reactions, can only proceed if there is an energetic drive. In phototrophy, this drive is supplied by solar radiation. In chemotrophy, however, it stems from thermodynamic disequilibrium for the redox reaction of interest, and is commonly quantified with an expression of the change in the Gibbs energy of reaction (ΔG r ). Unfortunately, misleading information on how to determine ΔG r has been perpetuated in the environmental microbiology community through incomplete and, sometimes, incorrect explanations in the literature. The fundamental cause for this confusion resides in the difference between ΔG r and ΔG 0 r or, stated differently, the difference between the actual Gibbs energy of a reaction and a hypothetical reference frame (or standard state). The same issues arise when expressing catabolic reaction energetics in terms of actual and standard redox (or electrode) potentials denoted as E and E 0 respectively (Amend and Teske, 2005). The purpose of this communication is not to identify the origin of this confusion, but to remedy it. The first step is to recognize its pervasiveness in the literature, including in many microbiology textbooks (e.g., Madsen, 2015;Madigan et al., 2018;Willey, 2020).
Another point of confusion relates to the definition of ΔG 0 r . Contrary to countless proclamations in the literature (we again point to many widely read textbooks as the launchpad for this confusion), ΔG 0 r does not represent the Gibbs energy of reaction at 298.15 K (25 C) and 1 bar (10 5 Pa), with all reactants and products at concentrations of 1 molar (M) or 1 molal (m). ΔG 0 r is, in fact, a function of temperature and pressure, and environmentally relevant temperatures and pressures can have substantial effects on the value of ΔG 0 r that must be taken into account. Furthermore, the standard states of reactants and products are expressed as activities, not concentrations; although activity and concentration are related, they are not the same thing. In this review, we hope to clear up some critical and common misconceptions about microbial reaction energetics, and then provide something akin to a 'how-to manual' for determining values of ΔG r (or E) for many relevant redox processes at physicochemical conditions that are commonly encountered in natural systems, impacted environments, or laboratory experiments.
The value of ΔG 0 r is misleading The value of ΔG 0 r is only one part of the total Gibbs energy yield of a reaction, ΔG r . The other part accounts for the chemical composition of the environment of interest (the Q-term): where R and T stand for the gas constant and temperature (in K), respectively, and Q r represents the activity product as defined below. Values of ΔG 0 r are typically calculated from those of ΔG 0 i , which represent the standard Gibbs energies of formation from the elements for every reactant and product species (i) in the reaction (r). For detailed discussions, see Amend and Shock (2001) or LaRowe and Amend (2019b).
Values of ΔG 0 i (and therefore values of ΔG 0 r ) are functions of temperature and pressure. Using thermodynamic properties determined at 25 C and 1 bar to describe microbial processes in, for example, the cold deep ocean or a hot spring system leads to unnecessary errors and sometimes flawed conclusions. Values of ΔG 0 i for a wide range of compounds can be found in countless thermodynamic data tables; most of these, however, are restricted to 25 C and 1 bar. For more than four decades, efforts by several research groups have determined the necessary parameters to calculate the values of ΔG 0 i as a function of temperature and pressure for now more than 3000 compounds. For a recent compilation and detailed discussion of the approach, see Dick (2019) and references therein. To ease the calculation of microbial reaction energetics, Amend and Shock (2001) tabulated values of ΔG 0 i at 0-200 C for >300 minerals, aqueous solutes and gases. All thermodynamic values provided in this review were calculated using SUPCRT92 (Johnson et al., 1992). The computer program CHNOSZ, available in the R environment, can also be used to carry out the thermodynamic calculations summarized below (Dick, 2019).
In addition to noting the critical difference between ΔG r and ΔG 0 r , we also remind the reader that it is essential to identify the phase (e.g., gas, aqueous, specific mineral) of each reactant and product in a reaction. To elucidate the importance of this point, let us consider gas (g) and aqueous (aq) versions of the same net catabolic processhydrogenotrophic methanogenesis-where H 2 O refers to liquid water: and CO 2 aq ð Þ+ 4H 2 aq ð Þ= CH 4 aq At 25 C and 1 bar, ΔG 0 2 = −130.4 kJ/mol and ΔG 0 3 = −193.7 kJ/mol, a difference of 63.3 kJ/mol. Let us now also consider the effect of temperature on these reactions. At 85 C and 1 bar, ΔG 0 2 = −106.0 kJ/mol, a difference of 24.4 kJ/mol compared with its value at 25 C.
The 85 C value for ΔG 0 3 = −184.1 kJ/mol, a difference of 9.6 kJ/mol compared with its 25 C value.
Some investigators prefer to write the hydrogenotrophic methanogenesis reaction with bicarbonate (HCO 3 − ) in place of CO 2 At 25 C and 1 bar, ΔG 0 4 = −229.9 kJ/mol, a difference of 99.5 kJ/mol compared with the version written with gaseous CO 2 (Reaction (2)) and a difference of 36.2 kJ/mol to the version with aqueous CO 2 (Reaction (3)). If CO 2 (g), CO 2 (aq) and HCO 3 − are in chemical equilibrium in a system, then ΔG 2 =ΔG 3 =ΔG 4 , even though, as just shown, ΔG 0 2 6 ¼ΔG 0 3 6 ¼ΔG 0 4 , where values differ by almost 100 kJ/mol. This is a clear example of why the value of ΔG 0 r is important (since it is a component of ΔG r ), but is misleading on its own. To show that the sign of ΔG 0 r can also be misleading, we must first discuss the chemical composition of the system of interest.

The chemical composition of the environment matters
The Q-term in Equation (1) accounts for the chemical composition of the system of interest and, therefore, how different the environment is from the standard state. Its contribution to ΔG r can be positive or negative and, depending on the environment and catabolic reaction, can exceed several hundred kJ/mol. In other words, ignoring the composition of the system by assuming concentrations of 1 M or 1 m for all reactants and products (as is often done) will lead to substantial-and entirely unnecessaryerrors in energy calculations. [In bioenergetics, molality (m) is preferred, because a kg of water-as opposed to a litre of solution-is not affected by changes in ionic strength or density.] Q r , the activity product can be evaluated with the expression where a i represents the activity of species i, and ν i stands for its stoichiometric reaction coefficient. If we again consider methanogenesis (Reaction (3)) as an example, Activities are related to, but certainly not equal to, concentrations. The activity of any species i can be determined with the relation where C i stands for the concentration (usually in molal units), C 0 i represents the standard state concentration (usually 1 m), and γ i denotes the corresponding activity coefficient (which is unitless). In Table 1, we provide values of γ i for uncharged aqueous species, cations (+1, +2, +3) and anions (−1, −2, −3) at temperatures from 0 to 100 C and in solutions with ionic strengths (I) of 0.001-0.7 m. The numbers given in Table 1, calculated with the CHNOSZ program (Dick, 2019), may be slightly different from those of the relatively few individual aqueous species for which activity coefficients have been experimentally determined. They do, however, serve as very close estimates for all neutral and charged species of interest in catabolic reactions. For context, the ionic strength of most rivers and lakes is 0.001-0.005 m, and that of seawater is~0.7 m. Note in Table 1 that, for uncharged species, γ i is~1, regardless of temperature or ionic strength, and thus a i ≈ C i (but unitless). Consequently, for Reaction (3), where [i] represents the concentration of i in the aqueous solution. Note that since the standard state for pure liquids (including water) is an activity of 1 and, in dilute aqueous solutions, the activity of water is very close to 1, [H 2 O] does not appear here. For ions, values of γ i can be far from unity (see Table 1). This is especially true at elevated ionic strengths and for multivalent ions (e.g., SO 4 2− , Fe 2+ , Mn 2+ , PO 4 3− ) even at Table 1. Individual ion and neutral species activity coefficients (unitless) as a function of ionic strength (I), species charge and temperature.  low ionic strengths. For catabolic processes in seawater, a wastewater reactor, intracellular fluid or other elevatedsalinity solution using concentrations in place of activities will result in substantial, and again, unnecessary error. Consider, for example, sulphate in a marine system: the total average concentration of all aqueous sulphate-bearing species is 2.8 × 10 −2 m, but the corresponding activity of the SO 4 2− ion is almost an order of magnitude lower (~2.9 × 10 −3 , see below). Calculating ΔG r at 25 C for sulphate reduction using total sulphate concentration in the place of the activity of SO 4 2− leads to an error of~6 kJ/mol.
Of course, ignoring activity coefficients for the other species in the reaction will further compound the error. When considering gases in catabolic reactions, activities (a i ) are replaced with fugacities (f i ). Fugacity of the ith gas is related to its partial pressure (P i ) via a unitless fugacity coefficient (λ i ), using [Note that f i is formally in units of pressure, but for the Q-term, it is rendered unitless by normalizing it with a ref- erence value (f 0 i ) of 1 bar.] In the abyssal ocean, the deep subsurface or any system with in situ pressures above~50-100 bar, values of λ i for most gases are <0.5 and can be <0.2. In those ecosystems, partial pressures must be converted into fugacities to obtain accurate values of ΔG r . However, in lower pressure environments, regardless of the temperature or ionic strength, values of λ i are 0.99-1.00, and thus, very little error is introduced by equating f i = P i . That is not to say, however, that the Q-term can be ignored. On the contrary, and as shown below, it can contribute tens of kJ/mol to ΔG r even in low-pressure systems.
The 'biological standard state' gets it only partially right It has long been recognized that assuming all concentrations to be 1 m (or activities = 1) is problematic. To remedy this situation, the Interunion Commission on Biothermodynamics proposed the biological standard state, where pH is set to 7 (i.e., a H + = 10 −7 ), because the cytoplasm of most cells is circumneutral (Wadsö et al., 1976). This biological standard state is expressed as ΔG 00 r for the Gibbs energy and as E 0 0 for the electrode potential of redox half-reactions. In bioenergetic calculations, there are at least four potential pitfalls with the biological standard state. First, we now know many acidophiles and alkaliphiles with intracellular pHs far from 7. For example, in the hyperacidophilic thermophile Picrophilus oshimae that grows optimally at pH < 1, the intracellular pH is as low as 4.6 (van de Vossenberg et al., 1998). Second, pH 7 only corresponds to solution neutrality at 25 C and 1 bar. At 2 C, the temperature of much of the abyssal ocean, neutral pH is 7.4, and at 100 C, where numerous hyperthermophilic archaea and bacteria live and thrive, neutral pH is 6.1. Third, and arguably the most important, the concentration (or activity) of every other reactant and product in the reaction of interest is still kept at 1.0 m in the biological standard state which, depending on the chemical species and the environment, can be off by many orders of magnitude. Fourth, the biological standard state typically specifies a temperature (usually 25 C, but sometimes 37 C), thereby perpetuating the myth that values of ΔG 0 r and ΔG 00 r are not functions of temperature. In other words, the proton, whether as a reactant or product species, cannot be omitted from the Q-term; it should be treated like any other chemical species in this regard. In fact, the energetics of most reactions can be very pH sensitive, because proton activities can easily vary over more than ten orders of magnitude in microbial environments of interest.

Chemical speciation is often ignored; it should not be
All chemical reactions, including catabolic reactions, must be written in terms of chemical species. In determining reaction energetics, this is often-perhaps unknowingly-overlooked. Clearly, to calculate the values of ΔG 0 r , we need to know the values of ΔG 0 i for all the species in the reaction as written. For the Q-term, we need to know the corresponding activities (a i ), which are generated from the concentrations (C i ) and activity coefficients (γ i ) as in Equation (7). However, most analytical methods used for aqueous solutions typically determine 'total' and not 'species-specific' concentrations. For example, an analysis by ion chromatography may yield a total sulphate concentration ([SO 4 2− ] Total ), which is the sum of concentra- nearly an order of magnitude less than its total concentration. It follows that SO 4 2− is not the dominant sulphatebearing species in seawater; that label belongs to MgSO 4 0 , followed by NaSO 4 − (see Fig. 1B).
To accurately 'speciate' an aqueous solution can be rather involved and computationally intensive. It is accomplished by minimizing the Gibbs energy of the system for a given number of elements at a particular temperature, pressure and chemical composition. One also needs to know the values of ΔG 0 i for every species of interest (including complexes) at the in situ temperature and pressure. In all but the simplest cases, computer codes are typically used to determine rapid and accurate solutions to the Gibbs energy minimization problem. The most commonly used codes for such equilibrium speciation calculations include WATEQ (Truesdell and Jones, 1974;Ball et al., 1987), MINEQL (Westall et al., 1976;Schecher and McAvoy, 1998), EQ3 (Wolery, 1992), PHREEQC (Parkhurst and Appelo, 1999), and The Geochemists Workbench (Bethke, 2007). To be clear, the Gibbs energy minimization should not affect the redox state in the chemical speciation calculation. In other words, redox disequilibrium must be maintained to accurately assess the potential catabolic energy landscape. For a review of these and other software packages and the imbedded minimization techniques, see Leal et al. (2014).
It should be noted, however, that unless a system is of high ionic strength or the investigation centres on minor components (e.g., Cu-, As-, and Se-redox processes), the most important speciation is often the pH-dependence. Here, we'll use acetic acid as an example, and consider the two species CH 3 COOH(aq) and CH 3 COO − , related by the relation At pH < 4, [CH 3 COOH] >> [CH 3 COO − ], and therefore, the concentration of 'total' acetate is essentially that of acetic acid. Conversely, at pH > 6, [CH 3 COO − ] >> [CH 3 COOH], and 'total' acetate represents the concentration of CH 3 COO − . At 4 < pH < 6, the 'total' acetate must be speciated to avoid considerable and unnecessary error. Note that since chemical speciation is an equilibrium assessment, there is a temperature and pressure dependence that must be taken into account. For Reaction (10), however, this is relatively minor (Shock, 1995).
The sign of ΔG 0 r can be misleading If ΔG r < 0, the reaction is exergonic. Whether ΔG 0 r < 0 is meaningless in this regard. Here, we provide two example reactions where the signs of ΔG r and ΔG 0 r are, in fact, opposite. Consider sulphur disproportionation, which can be represented by where S 0 denotes elemental sulphur with an activity of 1.0 (as for all pure minerals). At 25 C and 1 bar, the standard Gibbs energy of this reactions (ΔG 0 11 ) is 120.5 kJ/mol. Clearly, if the sign (and value) of ΔG 0 r was meaningful, this reaction, in the direction as written, would be impossible. However, this is a documented catabolism carried out by members of the Deltaproteobacteria, Thermodesulfobacteria and other bacterial phyla (Bak and Pfennig, 1987;Finster et al., 1998;Slobodkin et al., 2012;Kojima et al., 2016;Slobodkina et al., 2016). In environments with low levels of sulphide and sulphate and circumneutral to alkaline pH, the Q-term for Reaction (11) has a large negative value that can counter the positive value of ΔG 0 11 , resulting in a net negative value of ΔG 11 . For example, at activities of 10 −6 for H 2 S(aq) and SO 4 2− , and a pH of 7, Reaction (11) is strongly exergonic (ΔG 11 = −96.4 kJ/mol). Similarly, values of ΔG 0 r are positive for most of the major fermentation reactions occurring in marine sediments (Canfield et al., 2005), but these reactions can be exergonic, because a negative Q-term renders the overall Gibbs energy negative (LaRowe and Amend, 2019a).
Conversely, the sign of ΔG 0 r can be negative, but owing to unfavourable environmental conditions, that of ΔG r can be positive-and therefore, the reaction would be endergonic. Here, we consider acetogenesis At 25 C and 1 bar, ΔG 0 12 = −169.8 kJ/mol. Again, if the sign and value of ΔG 0 r were meaningful, this reaction should be energy-yielding. However, in field or laboratory systems with relatively low levels of H 2 and CO 2 , that is not the case. For example, at activities of H 2 and CO 2 equal to 10 −6 and that of acetic acid equal to 10 −3 , this reaction is endergonic (energy-consuming) with ΔG 12 = 18.6 kJ/mol. values of ΔG 0 2 , ΔG 0 3 and ΔG 0 4 at 25 C are −129.2, −195.9 and −231.2 kJ/mol, respectively, differences that are only slightly more pronounced at 1.5, 2.2 and 1.3 kJ/mol compared to the 1 bar values. Pressure can, however, significantly affect the Q-term (and hence ΔG r ), especially if free or dissolved gases (e.g., O 2 , CO 2 , CH 4 , H 2 , H 2 S) are part of the target catabolism. Gas solubility can increase demonstrably with increasing pressure, resulting in higher concentration (and thus activity) of the corresponding aqueous solute. For example, if aqueous and gaseous H 2 are in equilibrium at constant temperature (e.g., 25 C), then the activity of H 2 (a H2 ) can increase by several orders of magnitude from 7.85 × 10 −4 at 1 bar to 1.54 × 10 −2 at 20 bar to 1.93 × 10 −1 at 350 bar.
The Gibbs energy function that matterscalculating ΔG r In the sections above, we discussed the wide-ranging effects of temperature (and pressure) on ΔG 0 r , as well as the wide-ranging effects of chemical composition, including speciation, on the Q-term. In Box 1, we work through five specific examples (A-E) on how to calculate values of ΔG r (from values of ΔG 0 r and the Q-term) for microbial catabolisms at defined environmental conditions. In light of the limited effects of pressure on ΔG 0 r and to permit comparisons, the energetics in these examples were determined at 1 bar. It should also be explicitly stated that the calculated values of ΔG r apply only to the specified chemical composition. In open systems, it is assumed that these conditions are maintained. In closed systems (e.g., sealed bioreactors), the value of ΔG r changes as the concentrations (and hence, activities) of reactants and products change with time. The chosen examples consider oxic and anoxic environments; freshwater and seawater; aqueous solutes, gases and minerals; organic and inorganic electron donors; natural, impacted, engineered and laboratory systems; and a range of temperatures. These examples are not intended to represent all, or even a majority, of environmental microbial catabolisms. However, each example can serve as a template to determine ΔG r for similar processes under similar environmental conditions. The steps are: 1. Write a mass-and charge-balanced chemical reaction, and identify the phases. 2. Determine the temperature and chemical composition of the system. 3. Speciate the aqueous solution as necessary. 4. Estimate activity and/or fugacity coefficients as necessary.

Obtain values of ΔG 0
r and the Q-term to calculate ΔG r .
The first example (A) represents mesophilic aerobic respiration of glucose (C 6 H 12 O 6 ) in a freshwater (low ionic strength) ecosystem. Six-carbon sugars and their polymer parent materials are important electron donors for many heterotrophic microorganisms. To better understand biogeochemical processes in lakes, rivers, wetlands, soils, laboratory experiments and countless other natural and engineered systems, it may be necessary to determine the energetics of the oxidation of carbohydrates, proteinaceous materials and an array of simple to complex organic compounds with O 2 as the terminal electron acceptor.
The second example (B) represents psychrophilic anaerobic respiration of acetate in marine sediments. The upper-most layer of marine sediments is typically oxic, where aerobic respiration dominates. Below the oxic zone, sulphate becomes the most important terminal electron acceptor, responsible for much of the oxidation of organic carbon. For the vast majority of the global ocean, the seawatersediment interface is cold (~2-4 C), but with increasing depth and the accompanying geothermal gradient, the sediment temperature increases. Other oxidants to be considered in these anoxic environments include NO 3 − , Fe III -minerals (e.g., haematite, goethite, ferrihydrite) and Mn IV -minerals (e.g., pyrolusite).
The third example (C) represents thermophilic methanogenesis in a 2-phase laboratory experiment. Because laboratory experiments allow for careful control, constant monitoring and wide-ranging chemical analyses, determining energetics is relatively easy. Note also that it is common to slightly overpressure sealed culturing vessels if a gas phase is present. If, in the example described here, the total pressure was 3 bar (P CO2 = 0.6 bar, P H2 = 2.4 bar), then ΔG 15 would equal −135.3 kJ/mol. As alluded to in the section above, this difference of 16.4 kJ/mol compared with the 1 bar value is due almost entirely to the change in the Q-term; the difference in ΔG 0 15 between 1 and 3 bar is trivial at <0.1 kJ/mol.
The fourth example (D) represents mesophilic anaerobic ammonia oxidation (i.e., anammox) in a wastewater reactor. The chemical compositions in engineered and impacted systems can depart significantly from those in natural environments, making speciation calculations particularly important. In addition, fluctuating temperatures and pHs, constant aeration, settling out of solid phases, changing water activities and other physicochemical factors must be taken into account to calculate ΔG r .
The fifth example (E) represents mesophilic aerobic pyrite oxidation in acid mine drainage. In many catabolisms, minerals can serve as electron acceptor or electron donor, in addition to providing a physical template. It is worth noting that different minerals with the same chemical formula have different values of ΔG 0 i . For example, at 25 C and 1 bar, values of ΔG 0 i for anhydrous iron oxyhydroxides such as goethite, lepidocrocite and 2-line ferrihydrite (all FeOOH) are −491.6, −479.9 and − 465.3 kJ/mol respectively. As noted above, activities of pure minerals (and pure liquids) are typically set to 1.0, but those of amorphous solids (e.g., Mn IV -oxyhydroxides, opaline silica, coal, kerogen), solid-solutions (e.g., olivine) or complex liquids (petroleum, bitumen) are not.

Conclusion
As environmental microbiologists, we are typically confronted with communities of catabolically diverse organisms in complex chemical systems. Some of these organisms may be well characterized, with isolates in culture collections and genomes fully sequenced, but many may be largely unknown, including and perhaps dominated by clades that have no cultured representatives (microbial dark matter) (Lloyd et al., 2018). The systems of interest may be natural and pristine, contaminated or engineered. To answer important research questions, investigations may be carried out in situ, or environmental samples may be used in controlled laboratory studies. To obtain robust and quantitative results, we can make use of field measurements, biomolecular data, laboratory experiments, analytical chemistry and numerical modelling. An often desirable but also often daunting task in environmental microbiology research is to explain findings in an energetics context.
In this review, we attempted to demystify microbial reaction energetics by clearing up some of the most common confusions and misconceptions. Topping that list are the ideas that: 1) a negative ΔG 0 r means the reaction is exergonic-it does not; 2) the value of ΔG 0 r represents the energy yield-it does not; and 3) ΔG 0 r applies to 25 C, 1 bar, and concentrations of 1 M-it does not. ΔG 0 r is a temperature-and pressure-dependent function that, together with the Q-term that accounts for the chemical composition of the system, enables the calculation of ΔG r . The sign of ΔG r informs on the direction in which the reaction is exergonic (or if it is in equilibrium, where ΔG r = 0), and the value of ΔG r quantifies the accompanying energy yield. Similarly, when considering redox half-reactions, the same rules apply to values of E 0 and E. Finally, it is worth reiterating that ΔG r < 0 does not mean that the corresponding reaction will occur, only that it may occur. A quantitative assessment of thermodynamically favourable redox reactions in an environment only provides a framework within which to better understand microbial metabolism.