Table 1 Phenomenological non-ideality parameters from single method analyses and combinations.

From: Global multi-method analysis of interaction parameters for reversibly self-associating macromolecules at high concentrations

mAb

kS,op-SV(a) (mL/g)

kD,op-DLS(b) (mL/g)

B2,SLS(c) (mL/g)

SLS model

B2,opSLS = B2,SLS − K*(d) (mL/g)

B2,op-SV/DLS(e) (mL/g)

kS,opLS (f) (mL/g)

B

6.9 (0.2)

 − 4.5 (0.4)

1.13 (0.06)

1

1.13

1.2

6.8

A

4.3 (0.1)

 − 9.6 (0.3)

 − 1.70 (0.01)

1–2

 − 3.9

 − 2.7

6.2

E

 − 3.8 (0.1)

 − 16.1 (0.8)

 − 7.7 (0.27)

1–2

 − 18.8

 − 10.0

0.7

D

 − 0.6 (0.7)

 − 7.0 (0.3)

 − 0.36 (0.06)

1–2 and 2–4–…iso

 − 25.8

 − 3.8

6.3

C

 − 38.4 (5.5)

 − 40.1 (1.9)

5.5 (1.6)

1–2 and 2–4–…iso

 − 216

 − 39.3

51.1

  1. (a)Operational nonideality coefficient from linear regression of sw(c) isotherms from SV without accounting for self-association. Values in parentheses are confidence intervals estimated from Monte-Carlo analysis.
  2. (b)Operational coefficient from linear regression of z-average diffusion coefficients Dz(c) observed in DLS.
  3. (c)The second virial coefficient derived from fitting the Mw(c) isotherm from SLS with a nonideal self-association model, in non-linear regression determining both best-fit binding constants K and B2.
  4. (d)Operational second virial coefficient calculated with correction for self-association as in Eq. (17); using K* from best-fit nonideal binding model (for two-step models K* is calculated from the average of both binding constants).
  5. (e)Predicted operational virial coefficient from combination of DLS and SV results as in Eq. (11).
  6. (f)Predicted operational kS-value from combination of SLS and DLS as in Eq. (11).
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