Survey
* Your assessment is very important for improving the work of artificial intelligence, which forms the content of this project
* Your assessment is very important for improving the work of artificial intelligence, which forms the content of this project
Describing many‐particle systems Prof. Judit Fidy 2015, October 14 Complicated example Simple example V, p, T particle: ‐ atom, atomic group ‐ molecule ‐ molecular complexes, macromolecules ‐ etc. many: 6x1023 Air molecules in the room… What do the particles „do”, when the macroscopic parameters are constant: V,p,T? Complex system of large number of atoms and molecules in interaction with each other Energetic states In the field of interactions? Electronic states In the field of interactions? Boltzmann distribution Boltzmann distribution ‐ conclusions N distinguishable independent particles at thermal equilibrium, T= 0 in a closed system, exposed to a force field ε E = ∑ n jε j j εj possible energy status for one particle nj number of particles having εj energies k ε j j ε ,n k k − ni =e n0 k Boltzmann distribution function εi, ni − nk =e nj εk −ε kT j =e − Δε kT Boltzmann factor 1 εi, ni kT j =e − Δε kT εi − ε0 kT =e − εi Same system of N particles at different temperatures supposing ε0=0 kT As the temperature is lowered, more and more particles are in the energy minimum state at T=0 all particles are there: ni=0, n0=N n0 is the same ε ,n 1 1 0 ,,n0 εk −ε T1<T2<T3 ε ,n ε − nk =e nj j Populations of potential energy states – nk: number of particles in εk energy state „distribution” of particles is supposed T1<T2<T3 N = ∑ nj E = ∑ n jε j ε ,n Ludwig Eduard Boltzmann 1844-1906, Austrian physicist N = ∑ nj ε Valid for any (j,k) combinations of energy levels 1 0 ,,n0 At a given ε k > ε 0 energy level, the relative population related to the energy minimum increases with the temperature − ni =e n0 εi − ε0 kT εk > ε0 Boltzmann distribution – a general rule in nature Boltzmann distribution – a general rule in nature Considering the classes of materials – structural consequences Considering the classes of materials – structural consequences 1. Gasous systems (ideal gas) -> lack of order in the structure 2. Classes of materials with structural order. ‐ solid crystalline materials Order is based on ‐ ideal crystals -> case of perfect, long range order primary bonds ‐ real crystals -> case of imperfect, long range order ‐ liquid crystals Order is based on secondary bonds ‐ liquids -> case of short range order 1. Gasous systems (ideal gas) -> lack of order in the structure 2. Classes of materials with structural order. ‐ solid crystalline materials Order is based on ‐ ideal crystals -> case of perfect, long range order primary bonds ‐ real crystals -> case of imperfect, long range order ‐ liquid crystals Order is based on secondary bonds ‐ liquids -> case of short range order FIRST EXAMPLE Absolute value of velocity Absolute value of velocity 2. Classes of materials with structural order. Examples for the functional form of attractive interactions Order is based on interactions (bonds) between the constituting atoms or molecules The distance dependence in the energy formulae of electrostatic interactions General concept of bond formation (applicable for all kinds of interactions) repulsion E pot = B rm Interaction m>n Distance in the energy function ion-ion r −1 200 - 300 ion – static dipole r −2 10 - 20 static dipole – - static dipole r −3 1 -2 Eb attraction E pot =− A rn r= distance of two atoms forming the bond ro= bond distance Ebond= bond energy The concrete expression for A, B and the values of n and m depend on the form of interactions Magnitude of the Energy of interaction (kJ/mól) dipole – dipole with Brown motion r −6 dispersion r −6 0.3 2 2. Classes of materials with structural order. Atomic/molecular bond distances (ro= rA + rB) and binding energies Eb depend on the type of interactions (functions a and b) Order is based on interactions (bonds) between the constituting atoms or molecules General concept of bond formation Rends zám Z Van der van der Waals Waals radius (nm) sugár (nm) Kovalens Covalent sugár radius (nm) (nm) Ionic Ionsugá radius r (nm) (nm) Ion H 1 0,120 0,037 − H+ C 6 0,170 0,077 0,029 C+ N 7 0,155 0,075 0,025 N+ O 8 0,152 0,073 0,140 O2- F 9 0,147 0,071 0,117 F- Atom Elem Eb repulsion E pot = B rm m>n Eb attraction P 15 0,180 0,106 0,058 P3+ S 16 0,180 0,102 0,184 S2- rA, rB atomic radii of atoms A and B „atomic radius” E pot Is it true that all constituting atoms are at bond distances from each other all the time?! =− A rn r= distance of two atoms forming the bond ro= bond distance Ebond= bond energy The concrete expression for A, B and the values of n and m depend on the form of interactions 2. Classes of materials with structural order. Order is based on interactions (bonds) between the constituting atoms or molecules General concept of bond formation repulsion E pot Is it true that all constituting atoms are at bond distances from each other all the time? = B rm Boltzmann distribution allows for having broken bonds! m>n nbrokenbonds nb − Δε = = e kT nint actbonds ni Eb attraction E pot Δε = Ebond =− A rn The probability of breaking bonds by thermal fluctuations depends on the relation: r= distance of two atoms forming the bond ro= bond distance Ebond= bond energy Δε The concrete expression for A, B and the values of n and m depend on the form of interactions kT Bond energies in materials with structural order Great variety! electronvolt 1 eV= 23 kcal/mole ~ ~ 100 kJ/mól Eb ~ primary bonds: covalent ionic metallic Eb ~ secondary bonds H-bond hydrophobic dipole – point charge van der Waals dipole – dipole dipole – induced dipole dispersion (temporary dipoles) kT ~ 0.027 eV T=310 K, k=1.38x10-23JK-1 Boltzmann constant 2.1.Structure of crystalline materials = ideal state of order Particles: atoms - bonds: primary bonds -> ordered structure Single crystal (ideal) microcrystalline state (real crystals) grain long range order in ideal crystals large number of atoms in periodic array Characteristics of „crystalline” state ‐anisotropy: properties depends on the direction ‐mechanical stability ‐defined volume ‐defined shape ‐structure: long range order grain boundary: accumulation of crystal defects NaCl unit cells – periodic repetition Æ crystal lattice 14 kinds of units cells in nature: Bravais lattices Si long range order: distance of periodic repetition >> 100 times r0(=0.15nm) 2 – 10 eV/bond The 14 kinds of unit cells found in nature Eb(eV) several x 0.1 (water:0.2 eV) ~ 0.1 ~ 0.1-0.2 ~ 0.02 ~ 0.01 ~ 0.02 crystal defects in real crystals ? Considering two states of bonds – intact ‐ broken nb − =e ni Eb kT 2.2. Liquid state – case of partial (short range) and temporary order − ≈ n = e 0.023 = e − 270 = 0 N ni + nb = N 6.31 Particles: molecules Interaction energy: Eb~ secondary bonds ordered and disordered regions Æ average Eb is small Æmany broken bonds nb << ni e.g. NaCl, Eb=6.31eV, kT(room tempr.)=0.023eV But: imperfections in crystal growth n broken ≅ 1 % - 0.05% (T = 300 K) n0 Primary bonds can not be broken by thermal fluctuations at room temperature Elocal <Eb E − local kT n≈e Properties of liquid state ‐isotropy ‐deformability ‐it has a volume ‐the shape of its volume is defined by the container ‐short range order in temporary regions Liquid water physical/chemical point defects interstitium vacancy Crystalline water Frenkel pair point defects Ædiffusion to grain boundaries Æ Æline defectsÆsurface defectsÆfracture diffusion takes time! „fatique” Short range order: clusters of 5‐10 molecules in continuous rearrangement Practical aspects 2.1.‐2.2. Mesomorphous materials – liquid crystals 1. Average interaction energy between molecules is small like in liquids Long range order (but not so strict) ~ like in crystals Deformability like in liquids Constituting molecules are of special shape ~ string‐like, disc‐like polarizable Cholesteric order Æ sensitivity to temperature of the distance of ordered layersÆ diffraction change in reflectionÆ Æcolor change Contact thermography Color ~ T thermometers Forms of order of string‐like molecules 2. Electro‐optical properties: electric fieldÆstructural order changeÆ Ælight transmission change Æ liq.crys. displays based on reflection smectic Weak bonding energy Æ order can be easily perturbed by Æ pixels of LCD monitors in transmission mode nematic Unpolarized Illumination cholesteric ‐temperature (by Boltzmann distr.) ‐concentration and polarity of solvents ‐electric field Polarizer1 Orienting layer LC molecules Cholesteric crystal voltage Orienting layer Polarizer2 trans mission No trans mission p. 467 3. Lyotropic liq.crys.: membranes formed by amphiphilic molecules (like phopholipids) in proper solvents– lipid membranes: bi‐layers or multi‐layers 2.3. Macromolecular systems (e.g. cells): order is stabilized by a wide range of interactions mitochondrion Cell‐membrane: lipid bilayer nucleus cytoskeleton Hierarchy in Liposomes ‐bond strengths ‐bond distances ‐distance dependence of interaction energies ‐binding water molecules and ions ‐structural constraint of prosthetic groups Targeting of medications Real structure of „parallel” lipids (cell membrane) Boltzmann distribution! rough endoplasmic reticulum Golgi apparatus smooth endoplasmic reticulum Schematics of Figures Blue: nucleus Wide range of interaction energies Æ „structural dynamics” How is this observed in the fuctioning of a dsDNA? Are the H-bonds always intact? Red: actin filament nbroken − Δε = e kT nbound Δε = Ebond if nbroken << nbound ⇒ nbroken nbroken ≅ nbound N Example: The T7 DNA with about 40000 base pairs Æ about 100 000 H-bonds Æ N= 100 000 nbroken n − Δε − 0.2 = e kT = e 0.026 = 0.00046 ≅ broken nbound N Δε = Ebond = 0.2 eV nbroken ~ 46/DNA time-average! Green: microtubular system Significant number of secondary bonds are broken at body temperature Æ flexibility of macromolecular complexes Æ Possibility for ligand binding and chemical reactions Get back to gases Boltzmann distribution - more examples (see textbook) 1. Gasous systems (ideal gas) -> lack of order in the structure 3. Equilibrium rate of chemical reactions Rules based on Thermodynamics and Boltzmann distribution 1. average of kinetic energy is determined by the temperature Etotal = N 12 mv 2 1 mv 2 = f kT 2 2 f =3 pV = NkT ε i = 12 mvi2 Characteristics: - composed of uniform, point-like particles - no interaction energy – no bond formation – no „structure” - isotropy - deformability - fills the volume of the container - only kinetic energy degree of freedom of motion for point-like particles Reaction : εbarrier A B The kAB and kBA rates are proportional to the number of reactants which are higher in energy, reaching the top of the barrier Reaction coordinate k AB = const × e k BA = const × e Frequency of occurance =n/N K= 2. deviations from the average velocity are determined by the − k BA =e k AB − − ε barrier −ε A Arrhenius plot kT ε barrier −ε B log K = − log e εA −εB 1 kT ε A −ε B kT Experimental determination of the energy of activation Maxwell – Boltzmann distribution function 4. Barometric formula Density of air in the atmosphere decreases with the altitude (h) by the formula: ρ (h) − mgh = e kT ρ ( 0) m average mass of particles in the air g gravitational acceleration Absolute value of velocity Thank you for your attention! k T