Microbiological Analysis of Food Contact Surfaces in Child Care Centers

Similar documents
Microbiological Analysis of Food Contact Surfaces in Child Care Centers

Teleclass Sponsored by Webber Training, Hosted by Paul Webber,

Bacterial Occurrence in Kitchen Hand Towels

Microbial Hygiene Considerations with Mechanical Harvesting of Blueberries

Pathogens and Grazing Livestock

Sampling for Microbial Analysis

Pr oject Summar y. Survey of the prevalence of Escherichia coli O157:H7 on the surface of subprimal cuts of beef during winter months (Phase I)

Project Summary. Principal Investigators: Chance Brooks, Mindy Brashears, Mark Miller, Alejandro Echeverry, and Cassandra Chancey

Foodborne Diseases Active Surveillance Network (FoodNet)

Project Summary. Principal Investigators: Lawrence D. Goodridge 1 ; Phil Crandall 2, and Steven Ricke 2. Study Completed 2010

Laboratories & Consulting Group

UNITED STATES DEPARTMENT OF AGRICULTURE FOOD SAFETY AND INSPECTION SERVICE WASHINGTON, DC

Jonathan Howarth Ph.D and Tina Rodrigues BS Enviro Tech Chemical Services Modesto, CA 95258

ISPUB.COM. Microbiological Quality Of Sweetmeat With Special Reference To Staphylococci. S Chakraborty, A Pramanik, A Goswami, R Ghosh, S Biswas

Oregon Department of Human Services HEALTH EFFECTS INFORMATION

Preventing Cruise Ship Foodborne Illness Outbreaks. By Madison Dobson

Alberta Agriculture and Forestry s Response to the 2014 Outbreak of E. coli O157:H7 in Alberta

Poultry & Egg Education Project: Lesson 2 Teacher Guide. Lesson Overview Time: Minutes

NOROVIRUS A Food Production Perspective

MICROBIAL ANALYSIS OF RAW AND BOILED MILK SOLD AT BARATON CENTER IN NANDI COUNTY, KENYA

The UK s leading supplier of compliance training materials. E.Coli 0157 Guidance

Evaluation copy. Fecal Coliform. Computer INTRODUCTION

USE OF BIOFERTILIZERS IN BERRY FIELD AND FOOD SAFETY

P. Rusin, P. Orosz-Coughlin and C. Gerba

Sampling Guidelines. Multnomah County Health Department. Portland, OR 97232

Kit Information 3. Sample Preparation 4. Procedure 4. Analysis of Results 5. Quality Control 6. Disposal 6. Technical Support 6. Order Information 6

3M TM Petrifilm TM. Petrifilm TM 3M TM. 3M TM Petrifilm TM Serie 2000 Rapid Coliform Count Plates - Ref.: / 50 Unit - Ref.

US CDC Vessel Sanitation Program

Proficiency Testing FINAL REPORT Check sample program 16CSP02 February 2016

Effect of food safety systems on the microbiological quality of beef

Tufts University Water: Systems, Science, and Society (WSSS) Program

Issue Date: March 1, M Petrifilm Plates Certifications, Recognitions and Validations

Keeping your Workplace Safe for Foodservice Employees

Bacteriological testing of water

No Longer Fond of the Local Pond

Pr oject Summar y. Impact of ground beef packaging systems and temperature abuse on the safety of ground beef

VALIDATION OF DRY-AGING AS AN EFFECTIVE INTERVENTION STEP AGAINST ESCHERICHIA COLI O157:H7

FINAL Water Year 2012 Bacteria Sampling Report for the Klamath River Estuary

Project Title Assessing postharvest food safety risks and identifying mitigation strategies for foodborne pathogens in pistachios

Portland Water District Sebago Lake Monitoring Programs Lower Bay Bacteria Monitoring Presenting data from 1977 to 2018 Laurel Jackson

UNITED STATES DEPARTMENT OF AGRICULTURE FOOD SAFETY AND INSPECTION SERVICE WASHINGTON, DC

Food Microbiological Examination: Enumeration of Coliforms

BACTERIOLOGICAL MONITORING 109 TRAINING COURSE $ HOUR RUSH ORDER PROCESSING FEE ADDITIONAL $50.00

GB Translated English of Chinese Standard: GB NATIONAL STANDARD OF THE

Sterile Technique TEACHER S MANUAL AND STUDENT GUIDE

INTERPRETATION GUIDE AN INTRODUCTION TO USE AND INTERPRETING RESULTS FOR PEEL PLATE CC TESTS. FOR MORE INFORMATION, CONTACT CHARM SCIENCES

Hickerson, B., & Henderson, K. A. (2010, May/June). Children s summer camp-based physical activity. Camping Magazine, 83(3),

CERTIFICATE OF ACCREDITATION

A Medical Mystery of Epidemic Proportions

3M Food Safety 3M Petrifilm Plates and 3M Petrifilm Plate Reader

Core practical 13: Isolate an individual species from a mixed culture of bacteria using streak plating

Airline Industry Activity Report

Water Quality Trends for Patchogue Bay

REC. Interpretation Guide. Rapid E. coli/coliform Count Plate

Interpretation Guide 3M Petrifilm Rapid Coliform Count Plates

Gently apply pressure on spreader to distribute over circular area. Do not twist or slide the spreader. Interpretation

Water Quality Trends for Conscience Bay

Risk-Based Sampling of Beef Manufacturing Trimmings for. Escherichia coli (E. coli) O157:H7 and Plans for Beef Baseline

HSCC. Interpretation Guide. High-Sensitivity Coliform Count Plate

Loyalsock Creek Bacterial Coliforms. Presented By: Dr. Mel Zimmerman Clean Water Institute Lycoming College Matthew Bennett Jim Rogers

Effectiveness of Interventions to Reduce or. Colin Gill Lacombe Research Centre

Fecal Coliform Bacteria Monitoring for the Sleepy Creek Watershed Incremental 319 Project Final Report

E.coli O157: Control of Cross Contamination

Finding sources of fecal coliform bacteria in stormwater runoff

Effect of SODIS and Hygiene Behaviour childhood diarrhoea

E. coli and Coliform Bacteria Levels of Edgewood s Watershed Katie Schneider and Leslie Reed

Bacterial Quality of Crystalline Rock and Glacial Aquifers in New England

Serial Disinfection with Heat and Chlorine To Reduce Microorganism Populations on Poultry Transport Containers

WIFSS research on E. coli O157:H7 in central coastal California. Rob Atwill, D.V.M., Ph.D. University of California-Davis

Interpretation Guide. Coliform Count Plate

Overview of Microbial Indicator Monitoring Lab Methods. Jim Ferretti, USEPA Region 2 DESA, Laboratory Branch May 23, 2018

Find your Local Public Health Agency:

Lunch Ladies to Chefs: Yes We Can!

Comparison of Gelman and Millipore Membrane Filters for Enumerating Fecal Coliform Bacteria

Coliform Count. Interpretation Guide. 3M Food Safety 3M Petrifilm Coliform Count Plate

Laboratory Evaluation of the 3-Bowl System Used for Washing-Up Eating Utensils in the Field

CERTIFICATE OF ACCREDITATION

CERTIFICATE OF ACCREDITATION

LAKE HURON BEACH STUDY

Interpretation Guide

Food Stamp Hygiene control on food and food Environment

Guidelines for Providing Safe Food Samples

UNITED STATES MARINE CORPS FIELD MEDICAL TRAINING BATTALION Camp Lejeune, NC

Food Stamp Hygiene control on food and food environment

SANITATION CONTINUED & KITCHEN SAFETY. Mrs. Anthony

There are 7 kinds of unique dry medium for hygienic testing and detection of food poisoning bacteria.

Federal Register / Vol. 67, No. 194 / Monday, October 7, 2002 / Rules and Regulations 62325

Petrifilm. Interpretation Guide. Coliform Count Plate. Brand

Conference for Food Protection 2008 Issue Form. Accepted as

EMPLOYEE FOOD HANDLING / PERSONAL HYGIENE COMPLIANCE MANUAL

Technological Field Performance of a New Point-of-Use Water Treatment Technology in a Randomized Control Trial in Limpopo, South Africa

3M Food Safety 3M Petrifilm Plates and Reader. Simply. Prompt. Precise. Productive.

FECAL COLIFORM MONITORING IN GRAYS HARBOR COUNTY: SUMMARY REPORT OF MONITORING RESULTS FOR

INTERPRETATION GUIDE AN INTRODUCTION TO USE AND INTERPRETING RESULTS FOR PEEL PLATE EC TESTS. FOR MORE INFORMATION, CONTACT CHARM SCIENCES

Interpretation Guide

Comparison of Enterococci and Coliform Microorganisms in

Learning Styles: Visual, auditory, kinesthetic, and synthesis

COLOR-CODED FOODSERVICE SYSTEM

SCOPE OF ACCREDITATION TO ISO/IEC 17025:2005

Changes in Surviving E.coli, Coliform Bacteria and General Bacteria in Manure with Air Drying Treatment

Transcription:

APPLIED AND ENVIRONMENTAL MICROBIOLOGY, Nov. 2008, p. 6918 6922 Vol. 74, No. 22 0099-2240/08/$08.00 0 doi:10.1128/aem.00547-08 Copyright 2008, American Society for Microbiology. All Rights Reserved. Microbiological Analysis of Food Contact Surfaces in Child Care Centers Catherine M. Cosby, 1 C. A. Costello, 2 W. C. Morris, 1 B. Haughton, 3 M. J. Devereaux, 4 F. Harte, 1 and P. M. Davidson 1 * Department of Food Science and Technology, University of Tennessee, 2605 River Drive, Knoxville, Tennessee 37996-4591 1 ; Department of Retail, Hospitality and Tourism Management, University of Tennessee, 1215 W. Cumberland Ave., Knoxville, Tennessee 37996-1911 2 ; Department of Nutrition, University of Tennessee, 1215 W. Cumberland Ave., Knoxville, Tennessee 37996-1920 3 ; and Extension Family and Consumer Sciences, University of Tennessee, 2621 Morgan Circle Dr., Knoxville, Tennessee 37996-4501 4 Received 6 March 2008/Accepted 16 September 2008 A study of six child care centers was conducted to assess the microbiological quality of three food contact surfaces (one food serving surface and two food preparation surfaces) and one non-food contact surface (diaper changing surface) to determine the effectiveness of cleaning and sanitization procedures within the facilities. Aerobic plate counts (APCs) and Escherichia coli/coliform counts of 50-cm 2 areas on all surfaces were determined using standard microbiological swabbing methods. Samples were taken three times a day (preopening, lunchtime, and following final cleanup) twice per month for 8 months in each child care center (n 288 sampling times). Mean log APCs over the survey period were 1.32, 1.71, 1.34, 1.96, 1.50, and 1.81 log CFU/50 cm 2 for the six centers. Mean log coliform counts were 0.15, 0.40, 0.33, 1.41, 0.28, and 1.12 CFU/50 cm 2 for the same centers. Coliforms were detected in 283 of 1,149 (24.7%), with counts ranging from 1 to 2,000 CFU/50 cm 2, while E. coli was detected in 18 of 1,149 (1.6%), with counts ranging from 1 to 35 CFU/50 cm 2. The findings of this study demonstrated that the extent of bacterial contamination was dependent on the center, time of day, and the area sampled. While no direct correlation between contamination and illness can be made, given the high risk of food-borne illness associated with children, microbial contamination of food contact or non-food contact surfaces is an aspect of food safety that requires more attention. Emphasis on training and the development of modified standard sanitation operating procedures for child care centers are needed to reduce potential hazards. Downloaded from http://aem.asm.org/ Child care centers have become an integral part of today s society. The Children s Defense Fund reported that, in 2000, 60% of all preschoolers, toddlers, and infants attended child care centers daily (http://www.childrensdefense.org /site/pageserver?pagename research_national_data_child _care_basics). Sixty-five percent of mothers in the labor force have children under age 6, and 78% have children between ages 6 and 13. Additionally, 51% of mothers with infants (children under age 1) are in the labor force (13). While child care centers provide a necessary and important service, they may serve as a focal point for certain types of infectious diseases. For example, Todd et al. (12) suggested that child care centers were particularly vulnerable to food-borne illness outbreaks because the caregivers were often involved in food preparation, serving, and cleaning up after infants and young children. Children attending child care are generally at higher risk for gastrointestinal tract illnesses than other youth (15). According to the Centers for Disease Control and Prevention (CDC), food-borne illness causes approximately 5,000 deaths each year and approximately one-third of those are children (4). Outbreaks of Shigella sonnei gastroenteritis in child care centers * Corresponding author. Mailing address: Department of Food Science and Technology, University of Tennessee, 2605 River Drive, Knoxville, TN 37996-4591. Phone: (865) 974-0098. Fax: (865) 974-7332. E-mail: pmdavidson@utk.edu. Present address: US Foodservice, Chicago, IL. Published ahead of print on 26 September 2008. have been reported in eight states by the CDC since 2001 (2, 3). Spread of the bacterium was likely from person to person through poor hygiene of workers or inadequate sanitation (2). Todd et al. (12) reported four outbreaks in day care centers associated with a Salmonella sp., norovirus, probable norovirus (small round structured virus), and Shigella. The largest occurred in Sweden in 1999, with 195 cases of norovirus in 30 day care centers arising from pumpkin salads brought in by a caterer. Because child care centers are an important part of society, there is a need to assess ongoing sanitation of potential food contact and non-food contact surfaces within these facilities. Food contact surfaces are a major concern for food service facilities in controlling the spread of food-borne pathogens. The physical environment of a child care center may influence factors such as hygiene and food preparation, both of which may in turn play roles in the transmission of infectious disease among children (10). Food service areas are considered critical to health, and therefore the bacteriological quality of these surfaces as well as non-food service surfaces in child care centers must be assessed. Although many cases of food-borne illness have been attributed to inadequate cooking, temperature abuse, and the use of contaminated raw ingredients, crosscontamination between raw and cooked foods via food contact surfaces also has been identified as a significant risk factor (5). Environmental microbiological studies have suggested that the use of easily cleaned surfaces could help reduce environmental contamination and thus its role in the transmission of disease on December 1, 2018 by guest 6918

VOL. 74, 2008 MICROBIOLOGY OF SURFACES IN CHILD CARE CENTERS 6919 TABLE 1. Analysis of variance for log APC and log coliform counts by date, center, area, and time of sampling Source a df MS b F Pr F c Log APC Date 15 0.97017 1.28 0.2349 Center 5 9.41954 12.45 0.0001 Error 74 0.75637 Time 2 2.1550 6.23 0.0024 Time-center 10 0.82942 2.40 0.0107 Error 178 0.34569 Area 2 0.35289 1.08 0.3406 Center-area 10 2.44306 7.47 0.0001 Time-area 4 0.48222 1.47 0.2084 Center-time-area 20 0.32964 1.01 0.4502 Error 529 0.32695 Log coliform counts Date 15 2.6541 1.19 0.2978 Center 5 37.5310 16.84 0.0001 Error 74 2.2282 Time 2 13.3427 9.69 0.0001 Time-center 10 2.6550 2.09 0.0278 Error 178 1.2733 Area 2 11.9536 8.13 0.0003 Center-area 10 16.5170 11.24 0.0001 Time-area 4 2.0501 1.39 0.2345 Center-time-area 20 0.7076 0.48 0.9732 Error 528 1.4699 a Date, 16-week test period; center, six centers sampled; time, preopening, lunchtime, and postcleanup; area, diaper changing area, food serving area, and food preparation area. b MS, mean square. c Pr F, probability of a greater F value. in child care centers (10). Studies also have shown that both the contact surface and the level of organic matter can influence the survival of food-borne pathogens on food contact surfaces (5, 6). The objective of this study was to survey the bacteriological contamination on selected food contact and non-food contact areas in child care centers to develop a baseline for future comparisons. MATERIALS AND METHODS Sampling sites and surface selections. A microbiological survey was conducted in six Knoxville-Knox County, TN, child care facilities. The facilities were selected at random from all child care centers in the area. Three centers with 100 children (large) and three centers with 50 children (small) were selected. Each child care center was tested twice monthly over the course of an 8-month period for a total of 16 sampling periods per center. Four areas within the child care centers were sampled: one food service area (classroom or cafeteria surface), one diaper changing area, and two food preparation areas (two separate locations in the food preparation area or kitchen). All surfaces were assayed three times daily, including preopening (prior to 6:30 a.m.), during lunch (11:00 a.m. to ca. 1:00 p.m.), and following final snack time and cleanup of the day (ca. 3:00 p.m. to 4:30 p.m.), to monitor the microbiological quality of each surface throughout the day. Sample preparation for microbiological analysis. The sampling area was delineated with a sterile stainless steel template which exposed a surface area of 50 cm 2. All surfaces were swabbed using separate Quick Swabs (3M Microbiology, St. Paul, MN), which contain Letheen neutralizing broth. Sampling was performed by swabbing the area in accordance with the manufacturer s instructions. After sampling, the swabs were marked with an identification code and placed in Center TABLE 2. Mean bacterial counts by child care center for all surfaces and all times a food storage bags in an insulated tote bag and transported to the Food Microbiology Laboratory at The University of Tennessee within 15 to 45 min of sampling. Samples were stored at 4 C until testing, and all were analyzed within 1 h of arrival at the laboratory. Microbiological counts. Each swab solution (1 ml) was plated on aerobic count Petrifilm plates (3M Microbiology), and plates were incubated at 32 C for 48 h. Upon the completion of incubation, plates were counted on a standard colony counter. Sampling procedures for Escherichia coli and coliform counts were done in a similar manner to that for the aerobic plate counts (APC). After surface swabbing was completed, 1 ml of swab solution was plated and incubated at 32 C for 24 to 48 h according to the manufacturer s instructions on E. coli/coliform count Petrifilm plates (3M Microbiology). Results for all counts were reported as the number of CFU per 50 cm 2. Statistical analysis. Results were analyzed by analysis of variance as a factorial experiment in a completely randomized split-split plot block design, with factor center in six levels (1 to 6 child care centers), date in 16 blocks (16 weeks of sampling), factor sampling time in three subplots (preopening, lunchtime, final cleanup), and factor area in three subsubplots (food serving area, diaper changing area, and food preparation area). Where analysis of variance yielded significant treatment effects, Tukey s multiple-range test was used to determine significant treatment differences (P 0.05). All data were analyzed using SAS version 9.1 (SAS Institute, Cary, NC). RESULTS 1 1.30 0.15 2 1.69 0.40 3 1.35 0.33 4 1.91 1.41 5 1.51 0.28 6 1.88 1.12 a Different symbols within columns indicate significant differences by the Tukey test ( 0.05). Analysis of variance for log APC (Table 1) showed no significant effect of date of sampling (P 0.23), suggesting the centers were consistent in their log APC over the span of the experiment. Some of the studied centers systematically (P 0.0001) exhibited higher log APC, with an average 0.6 log difference between maximum and minimum counts (Table 2). The time of the day for sampling over all the studied centers was statistically significant (Table 3). While sampling location did not have a significant effect itself (Table 4), significant center-area interaction was observed (P 0.0001), with 50% of the child care centers consistently exhibiting lower-thanaverage APC in the diaper changing area. Coliform counts were significantly different among child care centers (P 0.0001) and consistent during the experiment TABLE 3. Mean bacterial counts on surfaces in child care centers by time of sampling (n 384 for each time) a Time Preopening 1.61 0.51 Lunch 1.68 0.84 Postcleanup 1.50 0.46 a Different symbols within columns indicate significant differences by the Tukey test ( 0.05).

6920 COSBY ET AL. APPL. ENVIRON. MICROBIOL. TABLE 4. Mean bacterial counts in child care centers by sampling area Area n (no significant sampling date effect; Table 1). The centers had log coliform counts from 0.15 to 1.41 CFU/50 cm 2 (Table 2), with two centers showing consistently higher-than-average counts during the 16-week sampling period. Overall, collected at lunchtime exhibited the highest log coliform counts (Table 3) during the study. The sampling location (Table 4) significantly affected the observed coliform counts, with the highest counts systematically observed in areas other than the diaper changing area. The types of surfaces analyzed varied in the child care centers. In the food preparation areas, the surfaces were laminate, stainless steel, and grouted ceramic tile. The food service surfaces were all laminate, while the diaper changing areas were either acrylic solid surface or plastic-covered padding. Because the surfaces were different in all areas except the food serving areas, the log APC for the latter were analyzed by analysis of variance to determine if differences existed (Table 5). One of the six centers (center 1) had significantly lower log APC on food service surfaces than the remaining five centers. The frequencies of coliform and E. coli detection by area and time of sampling are shown in Table 6. Of the positive coliform detected, 48.4% were in the food preparation areas and 26.9% in the food serving area. The diaper changing area had the lowest percentage (24.7%). In contrast, E. coli was detected most often in the diaper changing area. Of the positive, 50% were from the diaper changing area and 44% from the food preparation areas. The highest percentage of positive coliform across areas, 43.8% was detected during lunchtime. DISCUSSION a Food serving 289 1.64 0.58 Diaper changing 288 1.58 0.44 Food preparation 575 1.53 0.81 a Different symbols indicate significant differences by the Tukey test ( 0.05). The results of the microbiological survey of surfaces in the child care centers studied generally indicate that APC, coliform counts, and the frequency of E. coli detection are relatively low. For food preparation tables in Iowa schools, Henroid et al. (8) found a mean log APC and Enterobacteriaceae count of 3.76 4.50 and 0.16 0.29, respectively. In a study by Kennedy et al. (9) of bacterial counts on worktops in domestic kitchens, the APC detected for 10 was 3.9 log CFU/cm 2 and the coliform count was 2.0 log CFU/cm 2. Using standards suggested by Henroid et al. (8) of 1.3 log APC/cm 2 ( 3.0 log APC/50 cm 2 ) for food preparation tables, all centers in the present study had mean log APC well within acceptable limits. Additionally, the mean log Enterobacteriaceae count suggested by the same authors was 1.0 log CFU/cm 2 ( 2.7 log CFU/50 cm 2 ). The overall coliform counts for the centers in the present study (0.15 to 1.41 log CFU/50 cm 2 ) were also well within that limit. Significant differences in microbiological counts between Center TABLE 5. Mean log APC by child care center for the food serving area a b 1...1.17 2...1.61 3...1.62 4...1.82 5...1.77 6...1.88 a All centers had plastic laminate serving area. b Different symbols indicate significant differences by the Tukey test ( 0.05). child care centers may be due to a number of factors, including personnel hygiene, cleaning and sanitizing practices, and design and/or construction of facilities. For example, the availability of hand washing facilities could be a factor. Allwood and others (1) investigated the availability of hand washing facilities in 123 retail food establishments and determined that inaccessibility of hand washing facilities had an impact on the frequency of hand washing. Only 68 (55%) of the retail food establishments in the study were fully equipped with proper and accessible hand washing facilities. Petersen and Bressler (10) performed an environmental microbiological study in child day care centers where hands of caregivers within the centers were sampled. The authors concluded that hands are a major contributor to fecal contamination and that hand washing facilities should be readily available to staff and children. All centers in the study used the same sanitization practice, i.e., use of a diluted hypochlorite bleach solution in a spray bottle to treat surfaces. Differences between preparation methods, time of storage prior to making new solutions, and cleaning steps prior to use of sanitizing solution were found. Other factors could have involved separation of functions. Thompson (11) studied the control and transmission of infectious diarrhea in child care settings. The author concluded that the design and construction of child care centers were of importance and indicated that the separation of diaper changing and toilet areas from food handling and eating areas is desirable. In the present study one center was equipped with a designated cafeteria. While it was in a group with the lowest APC and coliform counts, two other centers without cafeterias also had the same counts. Therefore, separation of areas is not absolutely necessary to maintain low counts throughout the center as long as adequate sanitation is maintained. Sampling times for the centers were preopening, during lunch, and postcleanup. For lunchtime, were made randomly without regard to what activity was occurring, i.e., food preparation, food serving, etc. Therefore, it was anticipated that the lunch sampling time would produce higher microbiological counts than the other two sampling times. Results showed that mean log APC obtained at preopening and lunchtime were significantly higher (P 0.05) than those following final cleanup of the day. An average 1.61 log CFU was observed for the three sampling times, with a maximum 0.18 log CFU difference between maximum counts at lunchtime and postcleanup. Therefore, while there was a significant difference, it was not a large practical difference. A significant interaction between time of sampling and center (P 0.0107)

VOL. 74, 2008 MICROBIOLOGY OF SURFACES IN CHILD CARE CENTERS 6921 Organism(s) and time TABLE 6. Frequencies of coliform- and E. coli-positive in child care centers by sampling time and area sampled Food serving area (n a 289) Diapering area (n 288) Food preparation area (n 575) Range b Range Coliforms Preopening 16 (5.5) 1 133 19 (6.6) 1 398 51 (8.9) 1 980 Lunch 36 (12.5) 1 2,000 31 (10.8) 1 78 57 (9.9) 1 1,980 Postcleanup 24 (8.3) 1 354 20 (6.9) 1 53 29 (5.0) 1 1,030 E. coli Preopening 0 (0) 2 (0.7) 1 10 3 (0.5) 1 35 Lunch 0 (0) 3 (1.0) 1 4 (0.7) 1 2 Postcleanup 1 (0.3) 7 4 (1.4) 1 12 1 (0.2) 1 Range a n, total number of for each area. b Range of coliforms or E. coli bacteria/50 cm 2 or actual count for area. was detected (Table 1), meaning that the log APC recorded at preopening, lunchtime, and final cleanup did not follow similar trends in all centers studied, with most (four of six) exhibiting maximum counts when were taken near lunchtime. Similarly, coliform counts were highest at lunchtime. However, the time-center interaction was significant (P 0.027; Table 1), with two of the six centers having the highest coliform counts at preopening and four of the six centers having the lowest coliform counts postcleanup. These findings can be attributed to the fact that, during lunchtime, there is increased traffic and activity within the centers. This findings are in agreement with a study by Haysom and Sharp (7), who reported that contamination levels in domestic kitchens varied during the day but peaked during meal preparation. As expected, following the final cleanup of the day, the lowest mean log APC and coliform counts were detected. There was an increase in mean log APC from the end of the day to the start of the next day, which may indicate surfaces were being contaminated after the centers are cleaned and sanitized. Again however, while there was a significant difference, it was of little practical significance. The mean log APC for areas within centers were not significantly different, while the diaper changing area had the lowest coliform counts (Table 4). There was an expectation that the diaper changing areas may have higher bacterial counts than other areas; however, this was not the case. The overall mean coliform count for diaper changing areas was low (0.44 log CFU/50 cm 2 ). Using Rodac plates, Petersen and Bressler (10) had similar findings of lower mean numbers of coliforms on commonly touched surfaces, such as diaper changing areas and tables, in seven child care centers. Results of their study indicated that mean coliform counts were noticeably lower (77 CFU/Rodac plate) for the diaper changing area than for all other surfaces (240 CFU per Rodac plate). The lower counts found in the diapering area may be attributed to the heavy use of sanitizers in this area. Diapering areas may be more regularly cleaned and sanitized because of their function and common knowledge of the health risk associated with these areas. The mean log APC and coliform count for child care center food serving areas in our study were similar to those reported for tabletops in restaurants and bars. Yepiz-Gomez et al. (14) reported that the mean APC for restaurant tabletops was approximately 1.39 log CFU/50 cm 2 and the total coliform count was 0.68 log CFU/50 cm 2. In contrast to the results of Yepiz- Gomez et al. (14), the frequencies of coliform and E. coli detection were much lower in child care centers (24.6% and 1.6%, respectively) than in restaurants and bars (70% and 20%, respectively). The surfaces sampled during the study (i.e., food serving, diaper changing, and food preparation areas) were made of various materials, including plastic laminate, acrylic solid surface, stainless steel, plastic-covered pads, and grouted ceramic tile. The only area with the same surface material in all centers was the food serving area, which was plastic laminate. Therefore, the log APC data were analyzed for this area and surface. Center 1 had significantly lower counts than the other centers (Table 5). The difference may have been because of the condition of the surface, i.e., presence of scratching, cuts, etc.; however, no evaluation of condition was done because of the subjectivity of such an assessment. More likely, the cleaning and sanitizing program of center 1 was more effective than those of the other centers. The overall frequency of coliform-positive by time within an area was lowest for the food preparation areas following cleanup (5.0%; Table 6). For the food serving area the lowest number of positive coliform was found at preopening (5.5%). For the diaper changing area, the preopening and postcleanup were approximately equal. Positive E. coli were collected in the diaper changing area throughout the day. The next most prevalent E. coli site was at lunch on one of the food preparation areas; however, the maximum count of this site was 2 CFU E. coli/50 cm 2. Results indicate that, while the diaper changing area may have a generally low mean APC and coliform count, the potential incidence of E. coli is greater than for other areas. The purpose of this study was to determine the level of bacterial contamination on food contact and non-food contact surfaces in child care centers. Without such information, it is impossible to determine the extent of bacterial contamination in child care centers and if it is actually a problem. Additionally, this information is important to determine if systems designed to improve the cleaning and sanitizing in such centers are having an effect. The findings of the study illustrate that bacterial contamination is present on food contact surfaces and non-food contact surfaces of child care centers but that counts are generally low and there is a low incidence of indi-

6922 COSBY ET AL. APPL. ENVIRON. MICROBIOL. cators such as coliforms and E. coli. Results indicated that factors such as the center itself (e.g., personnel, cleaning protocols), areas within the center, and time of day can have an effect on the level of bacterial contamination present. All of these are directly or indirectly related to sanitation. Effective cleaning and sanitizing of food contact and non-food contact surfaces in child care centers are critical if cross-contamination is to be reduced. It is concluded that development of a set of standard sanitary operating procedures such as those used by the food industry and food service industry should be developed to assist child care center staff (directors, cooks, and teachers) with effective cleaning and sanitizing of surfaces to reduce potential hazards. ACKNOWLEDGMENT Funding for this project was provided by the United States Department of Agriculture Cooperative States Research, Education and Extension Service National Integrated Food Safety Initiative, grant no. USDA 2003-51110-02078. REFERENCES 1. Allwood, P. B., T. Jenkins, C. Paulus, L. Johnson, and C. W. Hedberg. 2004. Handwashing compliance among retail food establishment workers in Minnesota. J. Food Prot. 67:2825 2828. 2. CDC. 2004. Day care-related outbreaks of rhamnose-negative Shigella sonnei six states, June 2001-March 2003. MMWR Morb. Mortal. Wkly. Rep. 53:60 63. 3. CDC. 2006. Outbreaks of multidrug-resistant Shigella sonnei gastroenteritis associated with day care centers Kansas, Kentucky, and Missouri, 2005. MMWR Morb. Mortal. Wkly. Rep. 55:1068 1071. 4. CDC. 2005. Preliminary FoodNet data on the incidence of infection with pathogens transmitted commonly through food selected sites. MMWR Morb. Mortal. Wkly. Rep. 54:352 356. 5. De Cesare, A., B. W. Sheldon, K. S. Smith, and L. A. Jaykus. 2003. Survival and persistence of Campylobacter and Salmonella species under various organic loads on food contact surfaces. J. Food Prot. 66:1587 1594. 6. Evans, H., P. Madden, C. Douglas, G. Adak, S. O Brien, T. Djuretic, P. Wall, and R. Stanwell-Smith. 1998. General outbreaks of infectious intestinal disease in England and Wales: 1995 and 1996. Commun. Dis. Public Health 1:165 171. 7. Haysom, I., and A. Sharp. 2005. Bacterial contamination of domestic kitchens over a 24-hour period. Br. Food J. 107:453 466. 8. Henroid, D. H., A. F. Mendonca, and J. Sneed. 2004. Microbiological evaluation of food contact surfaces in Iowa schools. Food Prot. Trends 24:682 685. 9. Kennedy, J., I. S. Blair, D. A. McDowell, and D. J. Bolton. 2005. The microbiological status of non/food contact surfaces in domestic kitchens and the growth of Staphylococcus aureus in domestic refrigerators. Food Prot. Trends 25:974 980. 10. Petersen, N. J., and G. K. Bressler. 1986. Design and modification of the day care environment. Rev. Infect. Dis. 8:618 621. 11. Thompson, S. C. 1994. Infectious diarrhoea in children: controlling transmission in the child care setting. J. Pediatr. Child Health 30:210 219. 12. Todd, E., J. Greig, C. Bartleson, and B. Michaels. 2007. Outbreaks where food workers have been implicated in the spread of foodborne disease. Part 2. Description of outbreaks by size, severity, and settings. J. Food Prot. 70:1975 1993. 13. U.S. Department of Labor. 2004. Employment status of mothers with own children under 3 years old by single year of age of youngest child, and marital status, 2002 03 annual averages. U.S. Dept. of Labor Bureau of Labor Statistics, Washington, DC. 14. Yepiz-Gomez, M. S., K. R. Bright, and C. P. Gerba. 2006. Identity and numbers of bacteria present on tabletops and in dishcloths used to wipe down tabletops in public restaurants and bars. Food Prot. Trends 26:786 792. 15. Young, F. 1989. In child day care centers, cleanliness is a must. FDA Consumer. http://vm.cfsan.fda.gov/ dms/wh-dcare.html. Downloaded from http://aem.asm.org/ on December 1, 2018 by guest