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. 2015 Oct 30;81(23):8008–8021. doi: 10.1128/AEM.02216-15

TABLE 2.

Parameter estimates of the individual meta-analysis mixed-effects linear models by sanitizer, predicting the microbial mean log reduction in fresh produce as a function of microorganism, sanitizer concentration, and washing time and temperaturea

Sanitizer Parameters Mean SE Pr > |t| AIC/BIC
AA Predictors of R
    E. coli 1.234 X 0.909 0.307 27/31
    Listeriab
    Salmonella 1.325 Y 0.565 0.143
    Concn 0.103 0.072 0.181
    Temp 0.022 0.004 <0.0001
    Time 0.029 0.007 <0.0001
Variances
    s2u (intercept) 0.705 I2 = 99%
    s2 (residual) 0.004
CA Predictors of R
    E. coli 2.576 Y 0.429 <0.0001 102/121
    Listeria 2.337 X 0.430 <0.0001
    Salmonella 2.868 Z 0.425 <0.0001
    Concn 0.500 0.057 <0.0001
    Temp 0.032 0.008 <0.0001
    Time 0.043 0.003 <0.0001
Variances
    s2u (intercept) 0.436 I2 = 82%
    s2 (residual) 0.095
MA Predictors of R
    E. coli 4.223 X 0.207 <0.0001 5/18
    Listeria 4.538 Z 0.212 <0.0001
    Salmonella 4.444 Y 0.207 <0.0001
    Concn 0.692 0.041 <0.0001
    Tempc
    Time 0.051 0.003 <0.0001
Variances
    s2u (intercept) 0.0007 I2 = 12%
    s2 (residual) 0.0053
SAEW Predictors of R
    E. coli 11.34 X 0.340 <.00001 32/49
    Listeria 11.45 X 0.359 <0.0001
    Salmonella 11.31 X 0.341 <0.0001
    Concn 1.573 0.039 <0.0001
    Tempc
    Time 0.019 0.005 <0.0001
Variances
    s2u (intercept) 0.591 I2 = 94%
    s2 (residual) 0.037
PAA Predictors of R
    E. coli 3.843 Z 0.655 <0.0001 62/74
    Listeria 3.295 X 0.658 <0.0001
    Salmonella 3.535 Y 0.653 <0.0001
    Concn 0.491 0.116 <0.0001
    Temp NS
    Time 0.057 0.030 0.067
Variances
    s2u (intercept) 0.568 I2 = 89%
    s2 (residual) 0.067
SH Predictors of R
    E. coli 3.143 X 0.712 <0.0001 289/307
    Listeria 3.233 X 0.719 <0.0001
    Salmonella 3.861 Y 0.719 <0.0001
    Concn 0.383 0.148 0.012
    Temp NS
    Time 0.097 0.047 0.043
Variances
    s2u (intercept) 1.040 I2 = 94%
    s2 (residual) 0.061
CD Predictors of R
    E. coli 8.450 X 1.085 <0.0001 359/378
    Listeria 8.914 Y 1.084 <0.0001
    Salmonella 8.855 Y 1.066 <0.0001
    Concn 0.854 0.115 <0.0001
    Temp NS
    Time 0.054 0.010 <0.0001
Variances
    s2u (intercept) 1.413 I2 = 92%
    s2 (residual) 0.119
Water Predictors of R
    E. coli 1.765 Y 0.318 <0.0001 27/40
    Listeria 1.754 Y 0.331 <0.0001
    Salmonella 1.653 X 0.322 <0.0001
    Concnd
    Temp −0.080 0.022 0.001
    Temp (quadratic effect)c 0.001 0.000 <0.0001
    Time −0.003 0.005 0.600
Variances
    s2u (intercept) 0.181 I2 = 98%
    s2 (residual) 0.003
ASC Predictors of R
    E. coli 2.053 Y 0.525 <0.0001 88/100
    Listeria 1.625 X 0.628 0.015
    Salmonella 2.686 Z 0.682 <0.0001
    Concn 0.493 0.119 <0.0001
    Temp 0.472 0.059 0.001
    Temp (quadratic effect)c −0.011 0.002 0.001
    Time −0.254 0.046 <0.0001
Variances
    s2u (intercept) 0.052 I2 = 48%
    s2 (residual) 0.056
HP Predictors of R
    E. coli 1.739 X 0.751 0.146 8/14
    Listeriab
    Salmonella 2.906 Y 0.601 0.040
    Concn 0.348 0.137 0.027
    Temp 0.031 0.007 0.001
    Time 0.059 0.043 0.197
Variances
    s2u (intercept) 0.052 I2 = 66%
    s2 (residual) 0.026
a

Different letters (X, Y, and Z) indicate significant differences in log reduction among microorganisms. NS, not significant. —, parameter not calculated.

b

No data for L. monocytogenes were available.

c

As data were available only for ambient temperature, a temperature covariate could not be included.

d

The concentration covariate was not included as it has no meaning for water.