Food Protection Trends - November/December 2020 - 396

TABLE 1.  Cross-contamination efficiency ratios of microorganisms from an inoculated
laminate surface to a clean laminate surface with a single wiping step using the
cloth and bucket method
Organism

L. innocua

E. coli

B. cereus

MS2

Treatment

CFU/PFU on surface 1-
dirty (mean ± standard
deviation)

CFU/PFU on surface 1-
clean (mean ± standard
deviation)

Cross-contamination
efficiency (mean ± standard
deviation)a

PBS
QAC
QAC + 5% soil
PBS
QAC
QAC + 5% soil
PBS
QAC
QAC + 5% soil
PBS
QAC

7.24 ± 0.99
3.77 ± 0.27
4.18 ± 0.29
5.26 ± 1.26
3.19 ± 0.42
3.72 ± 0.30
8.85 ± 0.06
9.04 ± 0.34
9.13 ± 0.16
6.34 ± 0.96
5.51 ± 0.94

6.79 ± 0.88
LOEb
3.51 ± 0.38
5.08 ± 1.29
LOEb
3.01 ± 0.40
8.75 ± 0.08
8.90 ± 0.22
9.20 ± 0.07
5.80 ± 0.86
4.41 ± 0.78

1.08 ± 0.06
N/Ab
1.20 ± 0.05
1.05 ± 0.05
N/Ab
1.28 ± 0.17
1.01 ± 0.01
1.01 ± 0.02
0.99 ± 0.02
1.09 ± 0.03
1.26 ± 0.17

QAC + 5% soil

5.50 ± 0.88

4.76 ± 0.22

1.15 ± 0.18

Cross-contamination efficiency was calculated as a ratio of the total number of organisms on the inoculated side of S1d to the total
number of organisms on S1c after the first wiping event (S1d/S1c).

a

Not applicable (N/A), when the organism was completely inactivated by the disinfectant (limit of enumeration [LOE] reached)
and ratios could not be determined.

b

terry-cloth bar cloth was dunked in a solution and used to
wipe the contaminated area in a back and forth motion to the
clean side of the surface (S1c). By determining the number
of microorganisms remaining on S1d, and the number that
were moved to S1c by the cloth during wiping, we were able
to determine the efficiency of cross-contamination from the
initial contamination source to a clean surface, also known as
the initial cross-contamination event (Table 1). The efficiency
of cross-contamination was calculated as a ratio of the number
of organisms enumerated from S1d to the number of organisms enumerated from S1c. A result close to 1.0 indicated that
close to an equal number of the test organisms were found on
both the inoculated and the cross-contaminated sides of S1
after wiping and that the organism was easily moved from one
side of the surface to the other. Cross-contamination efficiency
ranged from 0.99 to 1.28, showing the test organisms were
moved efficiently from the inoculated side of S1 (S1d) to the
clean side of S1 (S1c). In some cases, this occurred even when
the disinfectant was used, with or without soil. This shows that
the initial wiping of a contaminated surface using the traditional cloth and bucket method easily spreads organisms to clean
areas of the same surface.
The efficacy of disinfection was dependent upon microorganism, bucket solution type, and sequence of wiping

396

Food Protection Trends November/December

actions. These data are provided in Figs. 2 through Figs. 5
as log PFU or CFU transferred to a surface for each of the
sequential wiping actions. For E. coli and L. innocua, when
the bucket contained PBS alone (control), cross-contamination occurred with each sequential wiping step, although its
efficiency reduced with subsequent wiping events (Figs. 2 and
3). By the fourth wiping event, about 5-log less CFU were
deposited on the clean recipient surface. Further, cross-contamination appeared less efficient if first preceded by rinsing
the cloth in the bucket solution (as was the case for S1 vs. S2
and S3 vs. S4) as compared to two sequential wipes without a
cloth rinse (S2 versus S3).
When the bucket contained the QAC solution, with or
without added soil, the disinfectant quickly inactivated
both L. innocua and E. coli and effectively prevented crosscontamination, which was negligible after the first wipe
(S1c) and below assay enumeration limits (< 2.78 log CFU/
surface) for S2, S3, and S4.
Overall, these results were expected because it is readily
accepted that quaternary ammonium compounds are
effective in inactivating vegetative gram-positive and gramnegative bacteria (6). These data are consistent with the study
of Scott and Bloomfield (15), in which two different types
of cloths were evaluated for cleaning in a food-preparation



Food Protection Trends - November/December 2020

Table of Contents for the Digital Edition of Food Protection Trends - November/December 2020

Characterizing Microbial Cross-Contamination on Large Surfaces Using a Traditional “Cloth and Bucket” Disinfection Method
Sanitation Monitoring of Stainless Steel Surfaces with a Test for Total Adenylates
Variability in the Microbial Profile of Retail Cricket Powders in the U.S. Retail Market
Exploring Food Truck Food Safety Training and Practices in the United States: A Qualitative Study
Use of the Theory of Planned Behavior to Determine Food Safety Behavioral Intentions among Child Nutrition Employees
Produce Safety Alliance Train-the-Trainer Course: Developing Trainers to Support Fruit and Vegetable Growers
Beyond the Bio Manpreet Singh
PDG Highlight Food Packaging Professional Development Group
General Interest Paper Exploring Novel Technologies to Enhance Food Safety Training and Research Opportunities
General Interest Paper Food Safety and Quality Data Management Using Artificial Intelligence
Industry Products
Coming Events
Food Protection Trends - November/December 2020 - Cover1
Food Protection Trends - November/December 2020 - Cover2
Food Protection Trends - November/December 2020 - 385
Food Protection Trends - November/December 2020 - 386
Food Protection Trends - November/December 2020 - 387
Food Protection Trends - November/December 2020 - 388
Food Protection Trends - November/December 2020 - 389
Food Protection Trends - November/December 2020 - 390
Food Protection Trends - November/December 2020 - 391
Food Protection Trends - November/December 2020 - Characterizing Microbial Cross-Contamination on Large Surfaces Using a Traditional “Cloth and Bucket” Disinfection Method
Food Protection Trends - November/December 2020 - 393
Food Protection Trends - November/December 2020 - 394
Food Protection Trends - November/December 2020 - 395
Food Protection Trends - November/December 2020 - 396
Food Protection Trends - November/December 2020 - 397
Food Protection Trends - November/December 2020 - 398
Food Protection Trends - November/December 2020 - 399
Food Protection Trends - November/December 2020 - 400
Food Protection Trends - November/December 2020 - 401
Food Protection Trends - November/December 2020 - Sanitation Monitoring of Stainless Steel Surfaces with a Test for Total Adenylates
Food Protection Trends - November/December 2020 - 403
Food Protection Trends - November/December 2020 - 404
Food Protection Trends - November/December 2020 - 405
Food Protection Trends - November/December 2020 - 406
Food Protection Trends - November/December 2020 - Variability in the Microbial Profile of Retail Cricket Powders in the U.S. Retail Market
Food Protection Trends - November/December 2020 - 408
Food Protection Trends - November/December 2020 - 409
Food Protection Trends - November/December 2020 - 410
Food Protection Trends - November/December 2020 - 411
Food Protection Trends - November/December 2020 - 412
Food Protection Trends - November/December 2020 - Exploring Food Truck Food Safety Training and Practices in the United States: A Qualitative Study
Food Protection Trends - November/December 2020 - 414
Food Protection Trends - November/December 2020 - 415
Food Protection Trends - November/December 2020 - 416
Food Protection Trends - November/December 2020 - 417
Food Protection Trends - November/December 2020 - 418
Food Protection Trends - November/December 2020 - 419
Food Protection Trends - November/December 2020 - 420
Food Protection Trends - November/December 2020 - 421
Food Protection Trends - November/December 2020 - 422
Food Protection Trends - November/December 2020 - 423
Food Protection Trends - November/December 2020 - Use of the Theory of Planned Behavior to Determine Food Safety Behavioral Intentions among Child Nutrition Employees
Food Protection Trends - November/December 2020 - 425
Food Protection Trends - November/December 2020 - 426
Food Protection Trends - November/December 2020 - 427
Food Protection Trends - November/December 2020 - 428
Food Protection Trends - November/December 2020 - 429
Food Protection Trends - November/December 2020 - 430
Food Protection Trends - November/December 2020 - 431
Food Protection Trends - November/December 2020 - 432
Food Protection Trends - November/December 2020 - 433
Food Protection Trends - November/December 2020 - 434
Food Protection Trends - November/December 2020 - Produce Safety Alliance Train-the-Trainer Course: Developing Trainers to Support Fruit and Vegetable Growers
Food Protection Trends - November/December 2020 - 436
Food Protection Trends - November/December 2020 - 437
Food Protection Trends - November/December 2020 - 438
Food Protection Trends - November/December 2020 - 439
Food Protection Trends - November/December 2020 - 440
Food Protection Trends - November/December 2020 - 441
Food Protection Trends - November/December 2020 - 442
Food Protection Trends - November/December 2020 - 443
Food Protection Trends - November/December 2020 - 444
Food Protection Trends - November/December 2020 - 445
Food Protection Trends - November/December 2020 - 446
Food Protection Trends - November/December 2020 - 447
Food Protection Trends - November/December 2020 - 448
Food Protection Trends - November/December 2020 - 449
Food Protection Trends - November/December 2020 - 450
Food Protection Trends - November/December 2020 - 451
Food Protection Trends - November/December 2020 - Beyond the Bio Manpreet Singh
Food Protection Trends - November/December 2020 - 453
Food Protection Trends - November/December 2020 - 454
Food Protection Trends - November/December 2020 - PDG Highlight Food Packaging Professional Development Group
Food Protection Trends - November/December 2020 - General Interest Paper Exploring Novel Technologies to Enhance Food Safety Training and Research Opportunities
Food Protection Trends - November/December 2020 - 457
Food Protection Trends - November/December 2020 - 458
Food Protection Trends - November/December 2020 - 459
Food Protection Trends - November/December 2020 - 460
Food Protection Trends - November/December 2020 - 461
Food Protection Trends - November/December 2020 - 462
Food Protection Trends - November/December 2020 - 463
Food Protection Trends - November/December 2020 - General Interest Paper Food Safety and Quality Data Management Using Artificial Intelligence
Food Protection Trends - November/December 2020 - 465
Food Protection Trends - November/December 2020 - 466
Food Protection Trends - November/December 2020 - 467
Food Protection Trends - November/December 2020 - Industry Products
Food Protection Trends - November/December 2020 - 469
Food Protection Trends - November/December 2020 - 470
Food Protection Trends - November/December 2020 - 471
Food Protection Trends - November/December 2020 - Coming Events
Food Protection Trends - November/December 2020 - Cover3
Food Protection Trends - November/December 2020 - Cover4
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