Literature DB >> 26761501

Comparison of Culture, Conventional and Real-time PCR Methods for Listeria monocytogenes in Foods.

Dong-Hyeon Kim1, Jung-Whan Chon1, Hyunsook Kim1, Hong-Seok Kim1, Dasom Choi1, Young-Ji Kim1, Jin-Hyeok Yim1, Jin-San Moon2, Kun-Ho Seo1.   

Abstract

We compared standard culture methods as well as conventional PCR and real-time PCR for the detection of Listeria monocytogenes (L. monocytogenes) in milk, cheese, fresh-cut vegetables, and raw beef that have different levels of background microflora. No statistical differences were observed in sensitivity between the two selective media in all foods. In total, real-time PCR assay exhibited statistically excellent detection sensitivity (p<0.05) and was less time consuming and laborious as compared with standard culture methods. Conventional culture methods showed poor performance in detecting L. monocytogenes in food with high levels of background microflora, generating numerous false negative results. While the detection of L. monocytogenes in fresh cut vegetable by culture methods was hindered only by L. innocua, various background microflora, such as L. innocua, L. welshimeri, L. grayi, and Enterococcus faecalis appeared on the two selective media as presumptive positive colonies in raw beef indicating the necessity of improvement of current selective media. It appears that real-time PCR is an effective and sensitive presumptive screening tool for L. monocytogenes in various types of foods, especially foods samples with high levels of background microflora, thus complementing standard culture methodologies.

Entities:  

Keywords:  Listeria monocytogenes; conventional PCR; culture method; profiling of false-positive colonies; real-time PCR

Year:  2014        PMID: 26761501      PMCID: PMC4662229          DOI: 10.5851/kosfa.2014.34.5.665

Source DB:  PubMed          Journal:  Korean J Food Sci Anim Resour        ISSN: 1225-8563            Impact factor:   2.622


Introduction

Listeria monocytogenes is an emerging bacterial foodborne pathogen responsible for listeriosis, an illness characterized by meningitis, encephalitis, and septicemia (Churchill ). Most countries have a zero tolerance policy toward the presence of L. monocytogenes in readyto-eat (RTE) foods owing to the possible severe consequences (Berrada ; Jadhav ; Yang ). As such, the capability to detect L. monocytogenes in low numbers in food samples is essential. Various methodologies, including conventional culture, molecular biological, biochemical, and immunological techniques, have been implemented for the rapid and specific detection of L. monocytogenes (Almeida and Almeida, 2000; Amagliani ; Klein and Juneja, 1997; Manzano ; Solve ; Wang and Hong, 1999). However, all methods are not well suited for routine use (Amagliani ). The most commonly used reference methods for the detection of L. monocytogenes in foods worldwide are the ISO 11290 standards, which use conventional culture methods with selective and chromogenic media, Oxford agar, polymyxin-acriflavine-LiCl-ceftazidime-aesculin-mannitol (PALCAM) agar, and Agar Listeria Ottaviani Agosti (ALOA) (Churchill ; ISO, 1996; Janzten ). These methods can be used to detect L. monocytogenes at the level of 5-100 colony-forming units (CFU)/25 g of food; however, the presence of competing microflora such as Listeria innocua leads to false-negative results (Churchill ; Scotter ). Rapid and sensitive screening tests have been recommended for coupling with conventional culture methods to overcome this drawback (Han ). In this study, we compared the sensitivities and selectivities of 4 methods (culture on Oxford agar, culture on PALCAM agar, conventional polymerase chain reaction [PCR], and real-time PCR) of detecting L. monocytogenes to determine whether PCR assays could be used as an alternative rapid screening tool for L. monocytogenes in food samples. To determine the effect of background microflora on the detection of L. monocytogenes, we used food matrices composed of foods that have different background microflora levels and have been most commonly implicated in human listeriosis (Churchill ; Gugnani, 1999; Meng and Doyle, 1997). In addition, we identified false-positive colonies that most commonly appeared on the 2 selective media, in order to obtain background information for the future development of improved culture media.

Materials and Methods

Bacterial strains

Twenty L. monocytogenes strains were used in this study. Most strains were originally obtained from the Food and Drug Administration (College Park, USA), and five standard strains were acquired from the American Type Culture Collection (ATCC). All L. monocytogenes strains were grown in tryptic soy broth (Difco Laboratories, USA) containing 0.6% yeast extract (Difco) for 18 h at 37℃. In total, 42 non-L. monocytogenes spp. were streaked onto nutrient agar (Difco) for 2 passages and incubated in tryptic soy broth (Difco) for 24 h at 37℃. All strains used in this study are listed in Table 1. For artificial inoculation into food samples, viable L. monocytogenes counts were obtained by serially diluting (10-fold) the overnight cultures in phosphate-buffered saline (PBS, pH 7.2, Difco) and plating 100 μL of the dilutions on tryptic soy agar (Difco) containing 0.6% yeast extract.
Table 1.

Bacterial strains used in sensitivity and specificity tests

Listeria monocytogenes strainsNon-Listeria monocytogenes strains
Poly O Type 4 isolated from brie cheeseListeria innocua isolated from meats (n=6)
Serovar 4b isolated from clinical sampleListeria welshimeri isolated from meats (n=6)
Poly O Type 1 isolated from ground vealStaphylococcus aureus ATCC 65381)
Poly O Type 1 isolated from flounderStaphylococcus aureus isolated from beef
Poly O Type 1 isolated from hamburgerStaphylococcus aureus isolated from chicken
Poly O Type 1 isolated from sausageStaphylococcus aureus isolated from pork (n=2)
Poly O Type 1 isolated from monkfishEnterobacter sakazakii FSM 145
Poly O Type 4 isolated from bovine tissueEnterobacter sakazakii FSM 261
ATCC 517761,3)Enterobacter sakazakii FSM 262
ScottAEnterobacter sakazakii FSM 265
FSL-C1-109Enterobacter sakazakii FSM 270
299056-AEnterococcus faecalis isolated from beef (n=2)
TS29/F2365Enterococcus faecalis isolated from pork (n=2)
FSL-C1-122Enterococcus faecalis isolated from chicken
457778-1ASalmonella Enteritidis D1 Serotype 3
FSL-J1-177Salmonella D1 Serotype 13A
FSL-C1-056Salmonella Enteritidis D1 Serotype 24
CU-BR 1/93Salmonella Enteritidis Serotype 97
FSL-M1-004Salmonella Enteritidis D1 SerotypeS132
908260Escherichia coli O157:H7 (n=5)2)
Serratia odorifera I
Serratia marcesens
Enterobacter aerogenes ATCC 130481)
Citrobacter freundiiATCC 80901)
Proteus mirabilis ATCC 70021)
n=20n=42

1) Obtained from American Type Culture Collection (ATCC).

2) Obtained from Centers for Disease Control and Prevention (CDC).

3) This strain was used in experimental inoculation testing.

Strains with no superscripts were obtained from the Food and Drug Administration.

1) Obtained from American Type Culture Collection (ATCC). 2) Obtained from Centers for Disease Control and Prevention (CDC). 3) This strain was used in experimental inoculation testing. Strains with no superscripts were obtained from the Food and Drug Administration.

Sample preparation and inoculation of L. monocytogenes

Milk, cheese, fresh-cut vegetables, and raw beef with different matrices and background microflora levels were used to determine differences in the detection capabilities of culture methods through conventional and real-time PCR. All samples were purchased from a local retail market in Seoul, Korea. A mesophilic aerobic plate count was performed for uninoculated food samples to enumerate the background microflora in experimental food samples according to a previously described method (Chon ). L. monocytogenes ATCC 51776 was used in experimental inoculation testing. One milliliter of the inoculum was prepared via serial dilution of the overnight culture grown in 225 mL Listeria enrichment broth (Difco). The inoculum was then evenly inoculated into 500 g (mL) of bulk samples via pipetting to generate partial positives and partial negatives for statistical comparison after division into subsamples. The inoculum levels ranged from 43 to 1,040 CFU of L. monocytogenes for bulk samples. The inoculated bulk samples were subsequently divided into 20 subsamples of 25 g each. Two additional food samples (25 g each) were used as positive and negative controls. A positive control was prepared by spiking 25 g of the sample with approximately 107 CFU/mL of L. monocytogenes ATCC 51776. As a negative control, uninoculated food (25 g) and sterilized PBS (1 mL) were prepared.

Culture methods

The detection of L. monocytogenes in the food samples by using culture was performed according to the methods described in ISO 11290-1 (ISO, 1996). After sample preparation and artificial inoculation of L. monocytogenes ATCC 51776, twenty-five grams of food was placed in 225 mL Listeria enrichment broth (Difco), homogenized in a BagMixer stomacher (Interscience, France) for 2 min, and incubated at 30℃ for 24 h. Aliquots (100 mL) of these primary enrichments were transferred to 10 mL of a secondary enrichment Fraser broth (Difco) and incubated at 37℃ for 24 h. Enrichment broths were inoculated on Oxford agar (Oxoid, UK) and PALCAM agar (Oxoid) and incubated at 37℃ for 24-48 h. One typical gray-green colony with a black halo on Oxford and PALCAM agar on each plate was selected for biochemical confirmation using the Vitek 2 system (bioMerieux, France).

DNA isolation

Bacterial DNA templates were extracted as described by Seo and Brackett (2005) with some modifications. One-milliliter samples from pure cultures in PBS or food samples in secondary enrichment broth were centrifuged at 14,000 rpm for 3 min. The pellets were washed in 1 mL of PBS and centrifuged at 14,000 rpm for 3 min and then resuspended in 200 μL of PrepMan Ultra Reagent (Applied Biosystems, USA) and boiled for 10 min. The samples were centrifuged at 14,000 rpm for 3 min. The supernatant was used for conventional and real-time PCR.

Conventional PCR

Specific primers derived from conserved sequences of the hlyA gene were used to test conventional PCR methods (Pagotto ). The primer sequences were 5’-CATTAGTGGAAAGATGGAATG-3’ (primer A) and 5’-GTATCCTCCAGAGTGATCGA-3’ (primer B) and were used to amplify a 730-bp fragment. PCR was performed with the Takara TaqTM Hot Start Version (Takara Bio Inc., Japan), using a Biometra T-Personal thermal cycler (Biometra GmbH, Germany). The reaction was performed at 94℃ for 8 min for the initial denaturation, followed by 30 cycles each at 94℃ for 1 min, 55℃ for 1 min, and 72℃ for 2 min, and then a final extension at 72℃ for 2 min. In total, 5 μL of amplified PCR product was analyzed with electrophoresis on a 1.5% agarose gel containing 50 μL SafeViewTM (Applied Biological Material Inc., Richmond, Canada) per liter. The amplified sequences were examined under ultraviolet light using a BioRad Molecular Imager® GelDocTM XR (BioRad Laboratories, USA).

Real-time PCR

The iap gene was targeted using the primers and probe according to the method described by Hein . The L. monocytogenes probe was labeled with 6-carboxyfluorescein (FAM, the reporter dye) and 6-carboxytetramethylrhodamine (TAMRA, the quencher dye). The sequences for iap (amplicon size, 175 bases) were as follows: forward primer, 5’-CTA AAG CGG GAA TCT CCC TT-3’; reverse primer, 5’-CCA TTC TCT TGC GCG TTA AT-3’; and probe, 5’-FAM CCT CTG GCG CAC AAT ACG CTA GCA CT-3’ TAMRA. The extracted DNA fluids (5 μL) were transferred into 20 μL of PCR mix consisting of 12.5 μL TaqMan Universal PCR Master Mix (Applied Biosystems), forward primer (2.5 μL, 900 nM), reverse primer (2.5 μL, 900 nM), and TaqMan probe (2.5 μL, 250 nM). The 96-microwell plate was sealed with optical adhesive covers (Applied Biosystems) and was placed in an ABI-Prism 7500 sequence detector (Applied Biosystems). The reaction was run at 50℃ for 2 min and then at 95℃ for 10 min, followed by 40 cycles each of 95℃ for 15 s and 60℃ for 60 s.

Sensitivity and specificity of 3 detection methods

To determine the sensitivity and specificity of each test, a total of 62 strains − 20 L. monocytogenes and 42 non-L. monocytogenes − were streaked onto Oxford and PALCAM agar. Plates yielding any colonies were considered positive regardless of the color and morphological features of the colonies. In parallel, conventional and realtime PCR were examined for pure cultures of these strains.

Detection limits

Detection limits were determined as described by Chon , with modification. To determine the detection limits of conventional and real-time PCR in PBS, we extracted genomic DNA from diluted overnight cultures containing 108 CFU/mL, as described above. The extracted DNA was then serially diluted (10-fold) in PBS. A total of 5 μL of amplified PCR product was analyzed with electrophoresis as described earlier, and the cycle threshold value of the dilutions was measured with real-time PCR. The detection limits of conventional and real-time PCR were also measured in all foods used in this study. Inocula (1 mL each) containing 7.2×101−1.2×108 CFU of L. monocytogenes ATCC 51776 were serially inoculated into 10 g of food samples to yield a final L. monocytogenes concentration range of 7.2×100−7.2×107 CFU/g. Each inoculated sample was transferred into 90 mL of 0.85% saline water and homogenized for 1 min using a stomacher. Conventional and real-time PCR were performed with genomic DNA extracted from 1 mL of each diluted sample (7.2×100−7.2×107 CFU/mL) as previously described. The lowest bacterial count that yielded a positive reaction was considered the detection limit of conventional and real-time PCR.

Statistical analysis

The number of positives was compared in pairs using the McNemar test with SPSS Statics (ver 18.0, SPSS Inc., USA), and statistical differences were determined. Significant difference was reached when the P value was less than 0.05.

Results and Discussion

Sensitivity and specificity of detection methods for various strains

Data describing the sensitivity and specificity of 2 selective media, conventional PCR assay, and real-time PCR assay are presented in Table 2. Conventional and realtime PCR assays revealed no positive reaction with non-L. monocytogenes strains, providing sensitivity and specificity for the detection of L. monocytogenes at the species level. In contrast, L. innocua, Listeria welshimeri, and Enterococcus faecalis grew on the 2 selective media. All non-L. monocytogenes strains (6 each of L. innocua and L. welshimeri) and 3 of 5 E. faecalis strains (Table 2) grew on both selective media, forming the typical gray-green colony with a black halo. Firstenberg-Eden and Shelef (2000) first reported that certain enterococci formed typical colonies on PALCAM, thus demonstrating their capability to hydrolyze esculin. Marlene have also demonstrated that PALCAM and Oxford media do not accommodate the differentiation of L. monocytogenes colonies and those of other Listeria species. Altho- ugh ALOA was not used in this study, the detection rate of L. monocytogenes on ALOA is also affected by the presence of L. innocua (Scotter ). Our results correspond with those of these previous studies and suggest that rapid screening for L. monocytogenes should include PCR-based methodologies, which precisely differentiate L. monocytogenes from non-L. monocytogenes Listeria species (Table 2).
Table 2.

Comparison of sensitivity (inclusivity) and specificity (exclusivity) of selective media and PCR methods using pure cultures of Listeria monocytogenes and non- L. monocytogenes strains

StrainNo. of positive strains / total No. of strains tested (%)
Culture method
Conventional PCRReal-time PCR
Oxford agarPALCAM agar
Listeria monocytogenes1)20/20 (100)a20/20 (100)a20/20 (100)a20/20 (100)a
Non-Listeria monocytogenes strains2)Listeria innocua6/6 (100)6/6 (100)0/6 (0)0/6 (0)
Listeria welshimeri6/6 (100)6/6 (100)0/6 (0)0/6 (0)
Staphylococcus aureus0/5 (0)0/5 (0)0/5 (0)0/5 (0)
Cronobacter spp.0/5 (0)0/5 (0)0/5 (0)0/5 (0)
Enterococcus faecalis3/5 (60)3/5 (60)0/5 (0)0/5 (0)
Salmonella spp.0/5 (0)0/5 (0)0/5 (0)0/5 (0)
Escherichia coli O157:H70/5 (0)0/5 (0)0/5 (0)0/5 (0)
Serratia odorifera0/1 (0)0/1 (0)0/1 (0)0/1 (0)
Serratia marcesens0/1 (0)0/1 (0)0/1 (0)0/1 (0)
Enterobacter aerogenes0/1 (0)0/1 (0)0/1 (0)0/1 (0)
Citrobacter freundii0/1 (0)0/1 (0)0/1 (0)0/1 (0)
Proteus mirabilis0/1 (0)0/1 (0)0/1 (0)0/1 (0)
Non-LM Total2,3)15/42 (35.7)c15/42 (35.7)c0/42 (0)d0/42 (0)d

1)Different letters (a, b) within a row indicate a significant difference (p<0.05) in sensitivity.

2)Different letters (c, d) within a row indicate a significant difference (p<0.05) in specificity.

3)Total number of non-L. monocytogenes strains.

PALCAM, polymyxin-acriflavine-LiCl-ceftazidime-aesculin-mannitol; PCR, polymerase chain reaction.

1)Different letters (a, b) within a row indicate a significant difference (p<0.05) in sensitivity. 2)Different letters (c, d) within a row indicate a significant difference (p<0.05) in specificity. 3)Total number of non-L. monocytogenes strains. PALCAM, polymyxin-acriflavine-LiCl-ceftazidime-aesculin-mannitol; PCR, polymerase chain reaction.

Detection limits of PCR assays

The detection limits of conventional and real-time PCR assays in pure culture and food samples are shown in Table 3. In pure cultures, more than 7.2×103 CFU and 7.2 ×102 CFU of bacteria were required to achieve a positive reaction with conventional and real-time PCR, respectively (Table 3). Furthermore, for all food samples, more than 7.2×104 CFU of bacteria was required for a positive reaction with conventional and real-time PCR (Table 3). The detection limits of conventional and real-time PCR have been reported to be influenced by the matrix or background microflora level of foods (Lee ; McLauchlin ; Tamarapu ). However, in this study, the detection limits of L. monocytogenes with conventional and real-time PCR were identical in all foods studied.
Table 3.

Detection limits of Listeria monocytogenes ATCC 51776 with conventional and real-time PCR assays in pure culture and experimentally inoculated food samples without enrichment

Number of cells (CFU/mL)Pure cultureFood samples

PBSMilkCheeseVegetable saladRaw beef

PCRReal-time PCRPCRReal-time PCRPCRReal-time PCRPCRReal-time PCRPCRReal-time PCR
7.2×107++++++++++
7.2×106++++++++++
7.2×105++++++++++
7.2×104++++++++++
7.2×103++
7.2×102+
7.2×101
7.2×100

ATCC, American Type Culture Collection; CFU, colony-forming units; PBS, phosphate-buffered saline; PCR, polymerase chain reaction.

ATCC, American Type Culture Collection; CFU, colony-forming units; PBS, phosphate-buffered saline; PCR, polymerase chain reaction.

Identification of presumptively positive colonies on the 2 selective media

The levels of background microflora and the confirmation of presumptive positive colonies on Oxford and PAL CAM agar obtained using the Vitek 2 system are presented in Table 4. As determined with aerobic plate counts, milk and cheese had less than 2 Log CFU/mL or g of background microflora. In the case of fresh-cut vegetables and raw beef, the counts of background microflora were 6.81±0.28 Log CFU/g and 4.00±0.17 Log CFU/g, respectively. In the case of milk and cheese, all suspicious L. monocytogenes colonies on both Oxford and PALCAM agar were confirmed as L. monocytogenes (29 of 29 in milk; 26 of 26 in cheese). Both media apparently detected L. monocytogenes effectively in foods with low levels of background microflora. However, for fresh-cut vegetables, only 15 of 40 suspicious colonies (37.5%) on both media were confirmed to be of L. monocytogenes and 25 of 40 suspicious colonies (62.5%) on both media were of L. innocua. In the case of raw beef, only 23 of 40 suspicious colonies (57.5%) were confirmed as L. monocytogenes; 8 (20%) were of L. innocua, 4 (10%) were of L. welshimeri, 4 (10%) were of E. faecalis, and 1 (2.5%) was of Listeria grayi. Our results indicate that the detection of L. monocytogenes could be highly hindered by other Listeria spp. and Enterococcus spp. in food samples with high levels of background microflora. Although the count of background microflora in raw beef was lower than that in fresh-cut vegetables, a wider variety of non-L. monocytogenes colonies was notably observed on both Oxford and PALCAM media in fresh beef samples.
Table 4.

Identification of presumptively positive colonies on selective media using the Vitek 2 system

Food samplesNo. of background microflora1)No. of presumptively positive plates / total No. of samples testedNo. of plates confirmed by Vitek 2 system / No. of presumptively positive plates (%)
Listeria monocytogenesListeria innocuaListeria welshimeriListeria grayiEnterococcus faecalis
Milk< 229/4029/29 (100)0/29 (0)0/29 (0)0/29 (0)0/29 (0)
Cheese< 226/4026/26 (100)0/26 (0)0/26 (0)0/26 (0)0/26 (0)
Vegetable salad6.81±0.2840/4015/40 (37.5)25/40 (62.5)0/40 (0)0/40 (0)0/40 (0)
Raw beef4.00±0.1740/4023 or 242) /40 (57.5) 8/40 (20)4/40(10)1/40 (2.5)4 or 33)/40 (10)

1)log colony-forming units (CFU)/g.

2)23 on Oxford agar and 24 on polymyxin-acriflavine-LiCl-ceftazidime-aesculin-mannitol (PALCAM) agar.

3)4 on Oxford agar and 3 on PALCAM agar.

1)log colony-forming units (CFU)/g. 2)23 on Oxford agar and 24 on polymyxin-acriflavine-LiCl-ceftazidime-aesculin-mannitol (PALCAM) agar. 3)4 on Oxford agar and 3 on PALCAM agar. Of all meat products, raw minced meat has been reported to have the highest incidence of Listeria spp. - more than 86% positivity - which can be attributed either to fecal contamination during evisceration or to food handling (Fenlon ; Yucel ). In addition, fresh-cut vegetables are commonly contaminated with Listeria spp., which hinders the selective detection and isolation of L. monocytogenes with selective culture media (Little ). The most prevalent background microflora in this study was L. innocua, which is known to produce a bacteriocin-like substance that inhibits the growth of L. monocytogenes during enrichment culture (Yokoyama ). Listeria innocua also has a higher growth rate in selective liquid media than that of L. monocytogenes, resulting in a high number of false-negative results on PALCAM and Oxford media (Curiale and Lewus, 1994; MacDonald and Sutherland, 1994). In addition, E. faecalis strains, which are ubiquitous and can hydrolyze esculin, grew and formed a typical L. monocytogenes-like colony on Oxford and PALCAM agar in this study (Table 2) (Robin ). While examining food samples with high levels of background microflora, random selection of presumptive positive colonies leads to a high chance of missing coexisting L. monocytogenes (Curiale and Lewus, 1994; MacDonald and Sutherland, 1994; Petran and Swanson, 1993). We clearly showed that the standard culture methods present challenges for the detection of L. monocytogenes, especially in foods with high levels of background microflora. The culture methods should be improved by inhibiting the growth of non-L. monocytogenes strains such as L. innocua, L. welshimeri, E. faecalis, and L. grayi, especially at the secondary enrichment step. No enrichment medium that selects L. monocytogenes over other Listeria spp. is currently available (Vlaemynck ). Alternatively, other rapid and selective screening methods performed with the enrichment broth are required to reduce the risk of listeriosis.

Comparison of detection methods for L. monocytogenes in various food samples

A comparison of the performance of the culture methods as well as that of conventional and real-time PCR in food samples is shown in Table 5. No positive reactions were obtained in the negative controls with the culture methods, conventional PCR, or real-time PCR, whereas all positive controls were detected as positives with all detection methods. Therefore, we conclude that samples used in the experiments were not naturally contaminated by L. monocytogenes. Significant differences were seen between real-time PCR and culture methods (p<0.05) in the overall results (Table 5). Real-time PCR appears to have a higher detection capability than culture methods and conventional PCR assays for L. monocytogenes in foods, regardless of the matrix and count of background microflora.
Table 5.

Comparison of culture methods, conventional PCR, and real-time PCR for the detection of Listeria monocytogenes in artificially inoculated food samples

Food samplesTrial No.Inoculum (CFU/500g of sample)No. of positive samples / No. of samples tested (%)
Culture method
Conventional PCRReal-time PCR
Oxford agarPALCAM agar
Milk14311/20 (55)11/20 (55)11/20 (55)12/20 (60)
210718/20 (90)18/20 (90)18/20 (90)19/20 (95)
Total29/40 (72.5)29/40 (72.5)29/40 (72.5)31/40 (77.5)
Cheese1469/20 (45)9/20 (45)9/20 (45)11/20 (55)
29817/20 (85)17/20 (85)17/20 (85)18/20 (90)
Total26/40 (65)26/40 (65)26/40 (65)29/40 (72.5)
Vegetable salad14856/20 (30)6/20 (30)8/20 (40)10/20 (50)
210409/20 (45)9/20 (45)10/20 (50)12/20 (60)
Total15/40 (37.5)15/40 (37.5)18/40 (45)22/40 (55)
Raw beef145013/20 (65)13/20 (65)14/20 (70)15/20 (75)
211310/20 (50)11/20 (55)11/20 (55)12/20 (60)
Total23/40 (57.5)24/40 (60)25/40 (62.5)27/40 (67.5)
Grand total93/160 (58.13)*94/160 (58.75)*98/160 (61.25)109/160 (68.13)

*Significantly difference compared with real-time PCR (McNemar test, p<0.05).

PALCAM, polymyxin-acriflavine-LiCl-ceftazidime-aesculin-mannitol; PCR, polymerase chain reaction.

*Significantly difference compared with real-time PCR (McNemar test, p<0.05). PALCAM, polymyxin-acriflavine-LiCl-ceftazidime-aesculin-mannitol; PCR, polymerase chain reaction. In particular, conventional and real-time PCR assays provide more positives in the case of food samples such as fresh-cut vegetables and raw beef, which have high background microflora levels (Table 5). In fresh-cut vegetables, although both media revealed only 15 positives in 40 samples, conventional and real-time PCR yielded 18 and 22 positives, respectively, in 40 samples. This tendency was also found in the raw beef, in which 23 and 24 positives were found in 40 samples with Oxford and PAL CAM agar, respectively, and 25 and 27 positives with conventional and real-time PCR, respectively. In food samples with high levels of background microflora, L. monocytogenes seemed likely to be partly missed by the culture methods, thus resulting in false negatives. To overcome this disadvantage, Vlaemynck have suggested that using additional confirmation techniques immediately for the enriched broth might reduce the number of false negatives. Many novel techniques have been applied for the detection and screening of L. monocytogenes in food, including immuno-based method, molecular method, on-site analysis method (loop-mediated isothermal amplification), and biosensor-based techniques to date (Jadhav ; Suh ). PCRbased method, however, is still one of the most powerful screening methods for L. monocytogenes in food. Recently, there appears to have been an increasing interest in the improvement of the real-time PCR assays by enhancing sensitivity and reducing test time and cost (Gattuso ; Rodriguez-Lazaro ). In addition, the validation of real-time PCR in various food samples including soft cheese and pork has been conducted by comparing with ISO standard methods (Gattuso ; Gianfranceschi ). In these studies, realtime PCR methods showed higher performance in detecting L. monocytogenes compared to standard method. These results correspond with our study, suggesting that PCR assays, especially real-time PCR, are useful screening tools for the detection of L. monocytogenes in food samples, especially with high levels of background microflora. In conclusion, our results indicate that more sophisticated and precise selective media should be developed for the detection of L. monocytogenes in foods with high levels of background microflora, especially fresh vegetables and meats. The results also suggest that real-time PCR could be an effective and sensitive presumptive screening tool for detecting L. monocytogenes in those food matrices. The limitations of the current study include lack of internal amplification controls (IAC) in PCR assays to rule out false negatives that might occur as a result of PCR inhibitors in the food matrix and samples of naturally contaminated foods. Therefore, further validation of PCR assays with IACs using more naturally contaminated foods is necessary in future studies.
  26 in total

1.  Development of real-time PCR for the detection of Clostridium perfringens in meats and vegetables.

Authors:  Jung-Whan Chon; Jong-Seok Park; Ji-Yeon Hyeon; Chankyu Park; Kwang-Young Song; Kwang-Won Hong; In-Gyun Hwang; Hyo-Sun Kwak; Kun-Ho Seo
Journal:  J Microbiol Biotechnol       Date:  2012-04       Impact factor: 2.351

2.  Multiplex PCR detection of vanA, vanB, vanC-1, and vanC-2/3 genes in enterococci.

Authors:  R Patel; J R Uhl; P Kohner; M K Hopkins; F R Cockerill
Journal:  J Clin Microbiol       Date:  1997-03       Impact factor: 5.948

3.  A new rapid automated method for the detection of Listeria from environmental swabs and sponges.

Authors:  R Firstenberg-Eden; L A Shelef
Journal:  Int J Food Microbiol       Date:  2000-06-01       Impact factor: 5.277

4.  Validation of ISO method 11290 part 1--detection of Listeria monocytogenes in foods.

Authors:  S L Scotter; S Langton; B Lombard; S Schulten; N Nagelkerke; P H In't Veld; P Rollier; C Lahellec
Journal:  Int J Food Microbiol       Date:  2001-03-20       Impact factor: 5.277

5.  Reducing time in the analysis of Listeria monocytogenes in meat, dairy and vegetable products.

Authors:  David Rodriguez-Lazaro; Patricia Gonzalez-García; Antonietta Gattuso; Monica Virginia Gianfranceschi; Marta Hernandez
Journal:  Int J Food Microbiol       Date:  2014-03-15       Impact factor: 5.277

6.  The incidence and level of Listeria monocytogenes contamination of food sources at primary production and initial processing.

Authors:  D R Fenlon; J Wilson; W Donachie
Journal:  J Appl Bacteriol       Date:  1996-12

7.  Rapid, specific detection of Enterobacter sakazakii in infant formula using a real-time PCR assay.

Authors:  K H Seo; R E Brackett
Journal:  J Food Prot       Date:  2005-01       Impact factor: 2.077

8.  Rapid detection of Listeria monocytogenes by nanoparticle-based immunomagnetic separation and real-time PCR.

Authors:  Hua Yang; Liangwei Qu; Adrienne N Wimbrow; Xiuping Jiang; Yaping Sun
Journal:  Int J Food Microbiol       Date:  2007-07-17       Impact factor: 5.277

9.  Prevalence and level of Listeria monocytogenes and other Listeria species in retail pre-packaged mixed vegetable salads in the UK.

Authors:  C L Little; F C Taylor; S K Sagoo; I A Gillespie; K Grant; J McLauchlin
Journal:  Food Microbiol       Date:  2007-04-03       Impact factor: 5.516

Review 10.  Emerging issues in microbiological food safety.

Authors:  J Meng; M P Doyle
Journal:  Annu Rev Nutr       Date:  1997       Impact factor: 11.848

View more
  4 in total

1.  Prevalence and toxin type of Clostridium perfringens in beef from four different types of meat markets in Seoul, Korea.

Authors:  Dana Jeong; Dong-Hyeon Kim; Il-Byeong Kang; Jung-Whan Chon; Hyunsook Kim; Ae-Son Om; Joo-Yeon Lee; Jin-San Moon; Deog-Hwan Oh; Kun-Ho Seo
Journal:  Food Sci Biotechnol       Date:  2017-04-30       Impact factor: 2.391

2.  Improvement of Enterobacteriaceae enrichment broth by supplementation with sodium citrate for detection of Cronobacter sakazakii using real-time PCR.

Authors:  Dasom Choi; Jung-Whan Chon; Dong-Hyeon Kim; Hong-Seok Kim; Jin-Hyeok Yim; Kwang-Young Song; Kun-Ho Seo
Journal:  Food Sci Biotechnol       Date:  2016-08-31       Impact factor: 2.391

3.  Adaptation of the classical end-point ITS-PCR for the diagnosis of avian trichomonosis to a real-time PCR reveals Bonelli's eagle as a new host for Trichomonas gypaetinii.

Authors:  Sandra Alejandro Mateo; Iris Azami-Conesa; Bárbara Martín-Maldonado; Natalia Pastor-Tiburón; Raquel Martín-Hernández; Fernando González-González; María Teresa Gómez-Muñoz
Journal:  Parasitol Res       Date:  2022-10-19       Impact factor: 2.383

4.  Evaluation of a loop-mediated isothermal amplification method for the detection of Listeria monocytogenes in dairy food.

Authors:  Erica Tirloni; Cristian Bernardi; Sandro Drago; Giuseppe Stampone; Francesco Pomilio; Patrizia Cattaneo; Simone Stella
Journal:  Ital J Food Saf       Date:  2017-12-14
  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.