Table 2.

Arrhenius input parameters determined by fitting the experimental $E{R}_{i,j}^S$ and $E{R}_{i,j}^M$ data against the temperature inverse, which can be used for the determination of temperature‐dependent emission rate probability distributions used in the Monte Carlo simulations. A _i denotes both A ^S and A ^M, in μg m⁻² s⁻¹ and μg kg⁻¹ s⁻¹ for heating oil and for frying processes

	B i (K)	lnA i	SE i
Parameters for $E{R}_{i,j}^S$
POA	9183	24.9	0.6
ACR	8461	23.5	0.4
C1	5670	17	0.5
C2	10 352	28.7	0.4
C3	9128	25.7	0.5
Parameters for $E{R}_{i,j}^M$
POA	4607	12.4	0.5
ACR	5700	14.5	0.4
C1	2831	9.8	0.3
C2	6114	16.6	0.4
C3	5718	15	0.3

The standard error is calculated as the square root of the sum of unexplained variance normalized by the degree of freedom (dF = 26). Other parameters used include the average of the temperature inverse (0.00228 K⁻¹) and the associated sum of squares of deviations (1.1 × 10⁻⁶K⁻¹ and 2.0 × 10⁻⁶ K⁻¹).