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  • 8/4/2019 3b Kinetics

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    ChEn 5751 -Fall 2008

    Prof. Wei-Shou Hu 1

    Prof. Wei-Shou Hu

    ChEn 5751

    Kinetics of Growth and Product

    Formation

    Outline

    Quantitative description of growth and product formation Growth, expansion of population

    Distributed properties

    Description of batch cultures

    Stoichiometric limiting and growth rate limiting substrate

    Monod model and its variants Monod model

    Batch culture kinetics

    Maintenance energy

    Kinetics of product formation

    Growth kinetics of animal cells Anchorage dependence and contact inhibition

    Senescene

    Material balance on high density culture

    Time

    Cell Number (brown) Protein/Cell

    (red) DNA/Cell

    In a synchronized culture, increases in cell numbers, cell biomass

    and cellular components are not in sync

    Synchronized Culture

    1.0 -

    2.0 -

    0 -

    td (doubling time)

    Cell Cycle in Eucaryotes

    2 sets of geneticmaterial

    DNA synthesis

    Increase in size and material,

    except DNA

    Check point

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    ChEn 5751 -Fall 2008

    Prof. Wei-Shou Hu 2

    Distributed properties

    vs Average properties

    DNA content

    Cell size

    F

    G2

    G1

    S

    1 2

    isoclion

    (same frequency)

    Growth, Increase in Cell Concentrationa) In terms of biomass concentration,x

    a) In terms of cell number, n

    x and n are Specific Growth Rates

    With initial condition,

    When

    is the doubling time

    dx xdt

    =

    ndt

    dnn=

    0,

    ( )

    o

    o

    t x x

    x x E x p t

    = =

    =

    then,

    0

    0

    0

    2

    22

    ln

    ln 0.691

    d

    d

    x xx

    tx

    t

    =

    =

    = =

    dt

    24 60 hoursHuman cell culture

    1 hourYeast

    20 minute (rich medium) 37c4 hours (min medium) 37c

    E. Coli

    td

    Typically plot in semi log

    1 dxx dt

    =

    Growth Stages and Composition Changes

    time

    Log x

    Log n

    Stationary Phase

    Exponential (log)

    phase

    Lag Phase

    Decline Phase

    nx

    RNA per

    biomass

    DNA per cell or per biomass

    x/n

    Balanced Growth

    At some stages of growth, or in a continuous culture at a steady

    state, all the components in cells remain in the same proportion:

    This is called balanced growth

    i: the concentration of cellular component i, (mass ofi/culture volume)

    1 1 1i

    i

    dn dx d

    n dt x dt dt

    = = =

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    ChEn 5751 -Fall 2008

    Prof. Wei-Shou Hu 3

    Change in a population is caused by growth,

    death, and migration

    n: specific growth rate based on cell

    number and concentration

    d: Specific death rate (based on cell

    number)

    m: specific net migration rate

    nVdt

    nVd

    dt

    dNmdn +== )(

    )(

    Monod Model of Growth Kinetics

    If S Ks, then max Two parameters, (max and ks),

    define the relationship between and limiting substrate concentrations. is also a function of pH,temperature, nutritional status (i.e.serum), waste products; it may alsodepend upon cell density foranchorage-dependent cells whichare subject to contact inhibition.

    max

    s

    s

    K s

    =+

    Saturation

    kinetic

    Determination of kinetic parameters

    max max

    1 1 1

    [ ]

    sK

    s = +

    1

    1

    [ ]s

    max

    sK

    max

    1

    A. Double reciprocal plot:

    Plot vs.

    Slope: Intercept on y axis

    B. Regression analysis

    Michaelis-Menten Eq.

    can be rearranged to:

    1/[s]

    1/

    The same enzyme at two different concentrations

    Two regions ofreaction can beapproximated

    -Zero order region:

    -First order region:

    Michaelis-Mentenkinetics-a saturationtype kinetics

    Two enzymes at the same rmax but differ in Km

    maxr r

    )([ ] ms K>>

    max

    [ ]

    [ ]m

    sr r

    K

    ([ ] )ms k0, the final cell concentration is limited by the

    availability of Si

    Example: Growth ceases when glucose is exhausted, while all the other nutrients (NH3, PO4-4,SO4

    -4, etc) are still available Note: this is true only if there is no other substrate that can substitute glucose as a carbon source. For

    example, if there is also glutamate, cells may continue to grow on glutamate after glucose isexhausted

    Growth rate limiting: At t ime t, S it decreases so that (Sit)

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    ChEn 5751 -Fall 2008

    Prof. Wei-Shou Hu 5

    max

    s

    dx sx x

    dt K s

    = =

    +

    max

    / / x s s x s

    sds x xmx mx

    dt Y K s Y

    = =

    +

    Must impose s as non negative value

    in simulation

    x

    s0

    s0

    One problem of

    maintenance energy

    concept is that it

    leads to a negative

    substrate

    concentration,

    because as

    approaches 0, the

    consumption term is

    still positive.

    Modifications of the Monod Model

    Substrate inhibition:

    Product Inhibition:

    max

    n

    s I

    s

    K s K s

    =

    + +

    max

    ( ( ))( ( ) )n

    s I

    s

    K s K P

    =

    + +

    s

    s

    Description of Product Formation

    p

    dpq x

    dt=

    +=pq

    = growth-associated specific productivity

    = non growth-associated specific productivity

    Growth-associated products: e.g., ethanolNegatively growth associated products: secondary metabolites

    qp

    Mixed mode

    Growth associated

    Non growth-associated

    Negative-growth associated

    Conserved vs. non-conserved substrate

    Non-conserved substrate:

    Are used as energy sources (oxidizedproducts are excreted), in whole or in part

    Conserved substrate:

    Are used only for biomass and product

    synthesis

    i

    sxf

    Yi

    1/ = (on a mass basis)

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    ChEn 5751 -Fall 2008

    Prof. Wei-Shou Hu 6

    High Cell Density Culture Must Consider

    Water Balance

    Some substrate and non-substrate solutes in the mediummay even increase inconcentration in the abioticphase in culture

    w: density of abiotic phase

    xx m

    dt

    dm=

    w

    xw

    f

    m

    dt

    dm =

    x

    sx

    si mYdt

    dm

    i

    /

    1=

    xp

    pmq

    dt

    dm

    i

    i =

    outcoxco

    coCQmq

    dt

    dm

    22

    2 =

    )(,2,2

    2

    outin OO

    oCCQ

    dt

    dm=

    max( / )

    ( / )

    S w w

    s S w w

    m m

    K m m

    =

    +

    Variation in Growth Kinetics

    Examples:

    1. Linear growth

    Limited by other factors (e.g., mass transfer)

    Non-single cellular microorganisms, e.g., mold

    growing as pellets

    2. Diauxic growth

    Growth of E. coli in glucose and lactose

    Diauxic growth

    E coli grow on glucose, not utilizing lactose, until glucose is exhausted

    After glucose depletion, there is a short period during which newenzymes are synthesized (i.e. induced) to adjust cells machinery to uselactose

    So, lactose utilizing enzyme (beta-galactosidase) along with its transport

    protein are repressed in the presence of glucose, and is induced by thepresence of lactose.

    time

    Concentration

    Cell growth

    glucose

    lactose

    What are the

    evolutionary

    advantage of such

    regulation?

    Animal Cells in Culture

    ChE 5751 F ll 2008

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    ChEn 5751 -Fall 2008

    Prof. Wei-Shou Hu 7

    Hayflick Phenomenon

    Cell Senescence

    Cell Doublings or Passages

    Specific

    Growth

    Rate

    Total cell death

    crisis

    Cell Strain Continuous

    Cell Line

    Normal diploid aneuploid

    Normal diploid cells have limited life span in culture; after a number of

    population doubling, they will lose the capability to grow. Even if they

    are frozen and kept for years, upon thawing and returning to culture,

    they remember how many more doublings they can go through.

    Hayflick

    Cultivation of Normal Diploid Cells

    g r o w u n t il c o n t a c ti n h i b i t e d

    T r y p s i n iz e t or e l e a s e c e l ls

    p l a t e o n t ola r g e r s u r f a c e

    d i s s o c ia t e f r o m t i s s u e

    Can repeat the

    process of culturing

    them onto larger

    surface, but only in

    limited number of

    times. For mouse

    cells, about 60

    times.

    Those cells can befrozen down,

    thawed years later

    and grow again. But

    total number of

    replication is limited

    and relatively

    constant.

    What are the elements to be included in a

    model for growth of normal animal cells?Kinetic Models

    Why models?

    Summarizing large amount of data

    Simulate system behavior to facilitateunderstanding

    Predictive value

    At least two classes of models

    Emperical models Monod model and its variant

    Mechanistic models Based on mechanism, more predictive

    ChE 5751 F ll 2008

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    ChEn 5751 -Fall 2008

    Prof. Wei-Shou Hu 8

    Analysis of Experimental Data

    In-Process data analysis Plot measurement data for data quality evaluation

    Calculate derived variables (specific rates, stoichiometric

    ratios, yields etc)

    Post-Process data analysis Data regression on entire time profiles of data

    Calculate derived variables base on regressed data