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    Article ID: WMC001540 ISSN 2046-1690

    Predicting The Equilibrium pH Of An Aqueous

    Solution: A New Approach Based On The

    Mechanistic Chemistry Of Proton Transfer

    ReactionsCorresponding Author:

    Dr. Minhtri K Nguyen,Associate Clinical Professor, UCLA Medical Center, Department of Medicine, 757 Westwood Blvd, Rm 7501B,

    90095-7417 - United States of America

    Submitting Author:

    Dr. Minhtri K Nguyen,

    Associate Clinical Professor, UCLA Medical Center, Department of Medicine, 90095-7417 - United States of

    America

    Article ID: WMC001540

    Article Type: My opinion

    Submitted on:10-Feb-2011, 04:05:25 AM GMT Published on: 13-Feb-2011, 07:53:47 PM GMTArticle URL:http://www.webmedcentral.com/article_view/1540

    Subject Categories:NEPHROLOGY

    Keywords:Acid, Base, Stewart, Henderson-Hasselbalch, Proton, Bicarbonate

    How to cite the article:Nguyen M K, Kurtz I . Predicting The Equilibrium pH Of An Aqueous Solution: A New

    Approach Based On The Mechanistic Chemistry Of Proton Transfer Reactions . WebmedCentral NEPHROLOGY

    2011;2(2):WMC001540

    Source(s) of Funding:

    None

    Competing Interests:

    None

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    Predicting The Equilibrium pH Of An Aqueous

    Solution: A New Approach Based On The

    Mechanistic Chemistry Of Proton Transfer

    ReactionsAuthor(s):Nguyen M K, Kurtz I

    My opinion

    Previous quantitative approaches that model acid-base physiology and

    used to predict the equilibrium pH rely on the mathematical

    convenience of electroneutrality/charge balance considerations (1-4).

    This fact has caused confusion in the literature, and has led to the

    assumption that charge balance/electroneutrality is a causal factor in

    modulating proton buffering (Stewart formulation). In our recent

    study, we reported the derivation of a new mathematical model to

    predict the equilibrium pH based on the partitioning of H+ buffering in

    a multiple-buffered aqueous solution (5). The goal of our study was to

    determine whether it is possible to derive a mathematical model that

    is both predictive and mechanistic. Specifically, the goal of our paper

    was not to derive a predictive formula per se, but to derive a

    predictive formula based on the underlying physical chemistry

    involved (partitioning of H+ buffering) without utilizing the

    mathematical convenience of electroneutrality/charge balance

    considerations as had previous authors. Our reasoning was based on

    the consideration that if a derivation based only on partitioning of H+

    buffering was indeed possible, this would demonstrate convincinglythat electroneutrality/charge balance considerations are not only

    mathematically not required, but are de facto not fundamental in

    determining the pH from a chemical standpoint.

    We were motivated to pursue this approach because we had

    previously shown that although charge balance is a convenient

    mathematical tool that can be utilized to calculate and predict the

    equilibrium pH, charge balance (electroneutrality considerations) is

    not a fundamental physicochemical parameter that is mechanistically

    involved in predicting or determining the equilibrium pH value of a

    solution (5,6). Indeed, if strong ion difference (SID, a term used in

    the Stewart formulation which is based on electroneutrality and

    charge balance considerations) were to have a mechanistic role indetermining the equilibrium pH, it must do so by imparting a fixed

    macroscopic charge to the solution which will in turn cause the [H+]

    to attain a given value in order to maintain macroscopic

    electroneutrality. However, we demonstrated that for a given change

    in SID due to the addition of HCl to a NaCl-containing solution,

    electroneutrality is maintained (i.e. [Na+] + [H+] - [Cl-] - [OH-] = 0) at

    all pre-equilibrium and equilibrium pH values, and that the

    equilibrium pH is only determined by the dissociation constant of

    water, Kw (5).

    The significance and novelty of our model and certain technical

    aspects of our pH measurements have recently been questioned (7-9).

    These authors referred to previous formulas derived by otherinvestigators to predict and analyze the equilibrium pH of an aqueous

    solution. These include the predictive formula published by Rang and

    Herman et al, Charlot equation, Guenthers n-bar equation, de Levie

    equation, Morels tableau method, and the quantitative approaches

    discussed in the classic texts by Bjerrum, Ricci, Stumm, Ramette and

    Butler (4,10,11-20). However, we stress that none of these authors has

    achieved the goal of basing their derivations solely on the underlying

    mechanistic chemistry involved, i.e. proton partitioning among

    various buffers.

    In response to an inquiry with regard to how the initial reactant

    concentrations were calculated in our study (5,8), they were

    calculated as follows: At each titration step, the reactant

    concentrations of each sample containing the mixture of buffers were

    first calculated based on the measuredpH of the samplepriorto the

    addition of HCl as follows:

    Since [H+]sample [A-]sample = Ka [HA]sample and [ATOT]sample = [A

    -]sample +

    [HA]sample :

    [A-]sample = ([ATOT]sample x Ka)/([H+]sample + Ka) and [HA]sample = [ATOT]

    sample [A-]sample

    Based on the water association/dissociation equilibrium reaction:

    [OH-

    ]sample = Kw/ [H+

    ]sample

    After the addition of HCl, the initial reactant concentrations as

    displayed in Table 1 were calculated by accounting for the amount of

    H+ and OH- added and the dilutional effect of the added volume (5):

    [ATOT]sample = (0.01 x 0.02)/Total Vol where Vol = volume

    [A-]i = ([A-]sample x Volsample)/ Total Vol and [HA]i = ([HA]sample x Vol

    sample)/ Total Vol

    [H+]i = ([H+]sample x Volsample + [H

    +]HCl x VolHCl) / Total Volume

    where [H+]HCl = H+ concentration of HCl solution; VolHCl = volume of

    HCl added; and HCl is assumed to be completely dissociated.

    [OH-]i = ([OH-]sample x Vol sample + [OH

    -]HCl x Vol HCl) / Total Volume

    where [OH

    -

    ]HCl = OH

    -

    concentration of the HCl solution = Kw/[H

    +

    ]HCl

    All the initial reactant concentrations displayed in Table 1 were

    determined based on the above calculations, and the calculated values

    were rounded to the fourth decimal place (5). There is no dilution

    error in Experiment 4 as suggested (8). In Experiment 4, the total

    volume of the solution for the initial data set was 20.04 ml because

    more HCl was initially needed to titrate the pH of the solution to the

    calibration range of our pH measurements. Thereafter, the total

    volume changed in increment of 0.02 ml. Moreover, the suggestion

    that buffer B is diluted by another method than buffer A is an

    impossibility (8). The dilution is performed exactly as described in

    the Methods section of our article. It is important to note that both

    buffers A and B were mixed in the same solution and not in differentsolutions. Therefore, the same volume of HCl was added to the same

    solution containing the mixture of buffers A and B. In reviewing the

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    data in Experiment 2, there are typographical errors in the reported

    [HB]. The correct [HB] in Experiment 2 should be: 1.0503E-03,

    1.5365E-03, 2.0763E-03, 2.6531E-03, 3.3220E-03, 4.0649E-03,

    4.9081E-03, 5.7530E-03, 6.6020E-03, 7.4804E-03, and 8.3978E-03

    respectively. However, the reported predicted pH values are correct

    as originally stated; this can be easily verified by entering the values

    of [HB] listed here into our mathematical model and solving for pH.

    It was also suggested that two buffers in the first experiment in our

    article were exposed to different ionic strengths (8). First, in our

    study (5), the apparent equilibrium constant K of each buffer was

    calculated based on the thermodynamic equilibrium constant Kand

    the ionic strength of the solution: pK = pK 0.51I (Eq. 23). The

    ionic strength of the solution was calculated based on Eq. 24:I=

    cZ2. Therefore, the same exact value for ionic strength was entered

    into Eq. 23 to calculate the apparent equilibrium constant K of the

    two buffers. Second, one needs to consider the temperature

    dependence of the pKof any buffer pair. The pKof PIPES (Amresco,

    Solon, OH) at 25C is 6.80 and not 6.76 (21). Using this pKvalue of6.80, the ionic strength is ((6.80 6.7559457)/0.51)2 = 0.00746,

    which is the same ionic strength calculated for Buffer B. In reply to

    the footnote regarding buffer B (8), the pKof HEPES (Amresco,

    Solon, OH) at 25C is 7.55 and not 7.48 (21). Indeed, in our study,

    the buffers and pH electrode were incubated at 25C in a temperature

    regulated water bath to ensure that the pKs of the buffers used in our

    experiments were the same as those reported by our supplier.

    The validity of our data was questioned suggesting that the

    equilibrium pH as calculated by the Henderson-Hasselbalch equation

    is higher than the measured equilibrium pH (8). However, we note

    that this author actually calculated the equilibrium pH by entering the

    initial (pre-equilibrium) reactant concentrations, [A

    -

    ]i and [HA]i, intot he Hender son-Hasse l ba l ch equat i on . S i nce t he

    Henderson-Hasselbalch equation and any equation modeling

    acid-base equilibrium reactions only holds true for reactant

    concentrations at equilibrium, one has to enter the equilibrium

    reactant concentrations into the Henderson-Hasselbalch equation to

    calculate the equilibrium pH. In our study, the equilibrium reactant

    concentrations were expressed in terms of the initial reactant

    concentrations, i.e. [A-]e = [A-]i y and [HA]e = [HA]i + y. When

    one enters the equilibrium reactant concentrations, [A-]i y and [HA]i

    + y, into the Henderson-Hasselbalch equation to calculate the

    equilibrium pH, the measured and calculated pH values agree.

    Our analysis was also criticized from the viewpoint that the goal ofacid-base equilibrium calculations in clinical medicine ought to be

    aimed at quantifying and characterizing the metabolic component of

    an acid-base disorder (e.g. base excess) rather than defining the

    equilibrium pH (9,22). We disagree. If the goal is to quantify and

    characterize the metabolic component of an acid-base disorder, then

    we feel that quantification and characterization of the partitioning of

    excess H+ among the various buffers as provided by our model can

    provide important additional insight. However, in addition to the

    metabolic component, the respiratory component is also important

    clinically. Moreover, in clinical medicine, defining the equilibrium

    pH in certain circumstances is more essential than defining the base

    excess in guiding the treatmentof mixed acid-base disorders. For

    example, in a patient with mixed metabolic acidosis and chronic

    respiratory alkalosis, the goal of therapy is to normalize the systemicpH rather than to correct the base excess. Indeed, therapy aimed at

    correction of the base excess will result in worsening systemic

    alkalemia in this clinical setting. Other examples of this kind are

    purposefully omitted for the sake of brevity.

    Complexity is apparently also an issue in that it was suggested that

    the classic analytical methods utilized to predict the equilibrium pH

    are less complex and cumbersome than our current mathematical

    model (9). Although our mathematical model may be more complex

    than certain classic analytical methods, in our view complexity is not

    a sufficient criterion for choosing between mathematical models.

    Furthermore, proponents of the Stewart strong ion approach have long

    argued that although the Stewart strong ion approach is more complex

    and cumbersome than the Henderson-Hasselbalch approach, the

    Stewart s t rong ion formulat ion i s super ior to the

    Henderson-Hasselbalch approach since SID is purported to play a

    mechanistic role in acid-base physiology. This contrasts with the

    same authors previous analysis: However, like the BE approach

    and like any other method derived from considerations involving the

    calculation of interval change via the assessment of initial and finalequilibrium states, the Stewart method does not produce mechanistic

    information. These are basically bookkeeping methods. To believe

    otherwise risks falling prey to the computo, ergo est(I calculate it,

    therefore it is) fallacy (23). We view the latter statement as a

    just ification for the need for our study and model. Therefore,

    although our mathematical model may be more complex than other

    formulas, it is the first to be based solely on the underlying

    mechanistic physical chemistry involved.

    We also disagree that the Stewart strong ion formulation is predictive

    in physiological fluids (9). There is no mathematical model that is

    predictive in vivo (including our new model) since the equilibrium

    partial pressure of CO2 (PCO2) in physiological fluids cannot be

    predicted as a result of the modulation of alveolar ventilation in

    various acid-base disorders. In this regard, neither the Stewart strong

    ion model, Henderson-Hasselbalch equation nor any other

    mathematical model is predictive in bicarbonate-buffered

    physiological fluids in vivo. Specifically, both the Stewart strong ion

    formulation and Henderson-Hasselbalch equation consist of an

    equilibrium term, PCO2, and are therefore not predictive in

    physiological fluids where the equilibrium PCO2 may differ from its

    initial value in acid-base disorders.

    Finally, we must disagree with the contention regarding the

    superiori ty of the Stewart strong ion model over the

    Hender son-Hasse l ba l ch equat i on (7 ) . Bo t h t he

    Henderson-Hasselbalch and Stewart strong ion approaches are based

    on equilibrium reactant concentrations. In a multiple buffered solution,

    the isohydric principle (a well accepted principle in acid-base

    chemistry) underscores the fact that any buffer pair (assuming the pK

    is accurately known) can be utilized to calculate the equilibrium pH

    value. This fact alone necessitates that the Henderson-Hasselbalch

    equation and Stewart strong ion model are theoretically identical

    quantitatively in terms of their accuracy in calculating the equilibrium

    pH. Indeed, recent analysis has demonstrated that the

    Henderson-Hasselbalch equation and Stewart strong ion model are

    identical quantitatively in terms of their accuracy in calculating the

    equilibrium pH in a multiple buffered solution (6). If the Stewart

    s t rong ion model i s quant i tat ively super ior to the

    Henderson-Hasselbalch equation as suggested (7), then in our view it

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    is incumbent on those holding this view to provide a valid

    mathematical explanation as to why the Stewart strong ion model can

    be mathematically simplified to the Henderson-Hasselbalch equation

    as shown previously (6). In addition, those who maintain that the

    Stewart approach and by inference the SID calculation is

    mechanistically superior in interpreting acid-base phenomenology

    need to provide a validphysicochemical explanation as to why, for a

    given change in SID, electroneutrality is maintained (i.e. [Na+] + [H+]

    - [Cl-] - [OH-] = 0) regardless of the actual value of [H+] as

    demonstrated in the example given in Table 3 of our study (5). This

    example highlights the lack of a causal connection between changes

    in SID and [H+].

    Reference(s)

    1. Stewart PA. Independent and dependent variables of acid-base

    control. Resp Physiol 1978; 33: 9-26.

    2. Stewart PA. How to understand acid-base. A quantitative acid-baseprimer for biology and medicine. New York: Elsevier, 1981.

    3. Stewart PA. Modern quantitative acid-base chemistry. Can J

    Physiol Pharmacol 1983; 61: 1444-1461.

    4. Rang ER. pH computations in terms of the hyperbolic functions.

    Comput Chem 1976; 1: 9192.

    5. Nguyen MK, Kao L, Kurtz I. Calculation of the Equilibrium pH in

    a Multiple-Buffered Aqueous Solution Based on Partitioning of

    Proton Buffering: A New Predictive Formula. Am J Physiol Renal

    Physiol. 2009; 296 (6):F1521-F1529.

    6. Kurtz I, Kraut J, Ornekian V, Nguyen MK. Acid-base analysis: a

    critique of the Stewart and bicarbonate-centered approaches. Am J

    Physiol Renal Physiol. 2008; 294: F1009-F1031.

    7. Corey HE. Advances in analytical chemistry? Am J Physiol Renal

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    8. Ring T. Equilibrium or nonequilibrium pH. Am J Physiol Renal

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    9. Wooten EW. A new predictive formula for calculation of

    equilibrium pH: a step back in time. Am J Physiol Renal Physiol.

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    10. Herman DP, Booth KK, Parker OJ, Breneman GL. The pH of any

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    monoprotic acids and bases. J Chem Educ 1990; 67: 501-502.

    11. Charlot G. Utilite de la definition de Bronsted des acides et des

    bases en chimie analytique. Analytica Chemica Acta 1947; 1: 59-68.

    12. Guenther WB. Unified Equilibrium Calculations. New York:

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    13. de Levie R. The formalism of titration theory. Chem Educator

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    14. Morel F, Hering JG. Principles and Applications of Aquatic

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    15. Bjerrum J. Metal Ammine Formation in Aqueous Solution.

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    16. Ricci JE. Hydrogen Ion Concentration: New Concepts in a

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    Princeton, NJ: Princeton University Press, 1952.

    17. Stumm W, Morgan JJ. Aquatic Chemistry. An Introduction

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    Chemical Equil ibria In Natural Waters. New York:

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    18. Ramette RW. Chemical Equilibrium and Analysis. Reading, MA:

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    Publishing Company, 1981.

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    New York: John Wiley and Sons, 1998.

    21. http://www.igena.com.pl/pdf/buffers.pdf

    22. Siggaard-Andersen O, Fogh-Andersen N. Base excess or buffer

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