The well-known microactivity test (MAT) ASTM D 3907-92, has been used world
wide in laboratory scale testing to determine the activity and selectivity
of fluid catalytic cracking (FCC) catalysts. To assess catalytic selectivit
ies by interpolation, either a kinetic model or functional (empirical) rela
tionships between product yields and conversion should be used. Experimenta
l errors may significantly affect analysis and erroneous conclusions might
arise, justifying application of statistical methods. Although these method
s are well established, they are frequently neglected or oversimplified in
catalysis. The aim of the present work is to evaluate the influence of typi
cal experimental errors from MAT units on interpolated yields, based on pre
viously tested empirical functions and data from the literature, and from F
CC catalyst samples from PETROBRAS Research Center, with and without a vana
dium trap additive. Statistical criteria to identify possible outliers and
the confidence intervals for predicted values are discussed. It is shown th
at the experimental errors on the independent variable, sometimes disregard
ed, drastically decrease the discrimination capacity of the MAT test concer
ning iso-conversion and iso-coke evaluations. Concentrating experiments nea
r the conversion region of interest and improvement of MAT repeatability co
uld mitigate this unavoidable problem. These conclusions can be generalized
to selectivity analyses related to the reaction systems other than catalyt
ic cracking. (C) 1999 Elsevier Science B.V. All rights reserved.