Skip to main content
Asian-Australasian Journal of Animal Sciences logoLink to Asian-Australasian Journal of Animal Sciences
. 2017 Oct 20;31(4):585–594. doi: 10.5713/ajas.17.0540

Bio-protective potential of lactic acid bacteria: Effect of Lactobacillus sakei and Lactobacillus curvatus on changes of the microbial community in vacuum-packaged chilled beef

Yimin Zhang 1, Lixian Zhu 1, Pengcheng Dong 1, Rongrong Liang 1, Yanwei Mao 1, Shubing Qiu 2, Xin Luo 1,3,*
PMCID: PMC5838332  PMID: 29059725

Abstract

Objective

This study was to determine the bacterial diversity and monitor the community dynamic changes during storage of vacuum-packaged sliced raw beef as affected by Lactobacillus sakei and Lactobacillus curvatus.

Methods

L. sakei and L. curvatus were separately incubated in vacuumed-packaged raw beef as bio-protective cultures to inhibit the naturally contaminating microbial load. Dynamic changes of the microbial diversity of inoculated or non-inoculated (control) samples were monitored at 4°C for 0 to 38 days, using polymerase chain reaction-denaturing gradient gel electrophoresis (PCR-DGGE).

Results

The DGGE profiles of DNA directly extracted from non-inoculated control samples highlighted the order of appearance of spoilage bacteria during storage, showing that Enterbacteriaceae and Pseudomonas fragi emerged early, then Brochothrix thermosphacta shared the dominant position, and finally, Pseudomonas putida showed up became predominant. Compared with control, the inoculation of either L. sakei or L. curvatus significantly lowered the complexity of microbial diversity and inhibited the growth of spoilage bacteria (p<0.05). Interestingly, we also found that the dominant position of L. curvatus was replaced by indigenous L. sakei after 13 d for L. curvatus-inoculated samples. Plate counts on selective agars further showed that inoculation with L. sakei or L. curvatus obviously reduced the viable counts of Enterbacteraceae, Pseudomonas spp. and B. thermosphacta during later storage (p< 0.05), with L. sakei exerting greater inhibitory effect. Inoculation with both bio-protective cultures also significantly decreased the total volatile basic nitrogen values of stored samples (p<0.05).

Conclusion

Taken together, the results proved the benefits of inoculation with lactic acid bacteria especially L. sakei as a potential way to inhibit growth of spoilage-related bacteria and improve the shelf life of vacuum-packaged raw beef.

Keywords: Vacuum-packaged Beef, Lactic Acid Bacteria, Bio-protective, Microbial Diversity, Polymerase Chain Reaction-Denaturing Gradient Gel Electrophoresis (PCR-DGGE)

INTRODUCTION

Freshness, nutritional value, minimal processing, and low or no chemical additives prompts growing consumer interest towards chilled meat. However, such chilled product is also highly favorable for the growth of microorganisms, due to its high water content and abundant nutrients [1]. In addition to traditional processes like salting and curing, mild preservative methods have been applied in chilled or fresh meat, including high hydrostatic pressure, pulsed electric field, irradiation, ozone, packaging and application of probiotics or targeted metabolites [24]. Addition of probiotics is termed as bio-control or bio-preservation [5], using a natural microflora to increase safety and to extend shelf life of food products without altering the sensory attributes [6]. Lactic acid bacteria (LAB) as a bio-protective culture has been generally regarded as safe [7] and described as ‘food grade’ organisms by Bredholt et al [8]. LAB are naturally present in meat or meat products and act as powerful competitors to contaminating pathogenic or spoilage bacteria by producing a wide range of antimicrobial metabolites such as organic acids, bacteriocins and other metabolites [5,913].

Previous studies have demonstrated that several LAB strains including Lactobacillus sakei (L. sakei), Lactobacillus plantarum, Lactobacillus animalis, and Lactobacillus curvatus (L. curvatus) have been successfully applied as effective bio-preservation agents in meat and meat products [11,12,1417]. The inhibitory activity of the bio-protective cultures was evaluated by the reduced number of inoculated pathogenic bacteria or spoilage-related organisms in food [13,15,16,18,19]. However, little information is available regarding the impact of such bio-protective cultures on the dynamic changes of the naturally contaminating bacteria in vacuum-packaged raw beef during chilled storage. It is essential to understand the overview of bacterial changes in the microbial community during beef storage, to determine whether bio-cultures exert inhibitory activity at particular stages of storage, and to confirm how much suppression would be produced by the bio-cultures towards the main spoilage flora. Also, in spite of a large literature on the subject, there are few studies focusing on the comparable antibacterial properties of different LAB strains on raw beef, which is very important to select the most suitable strains for a specific food. Thus, the aim of this study was to determine the bacterial diversity and monitor the community dynamic changes during storage of vacuum-packaged sliced raw beef as affected by L. sakei or L. curvatus, using the polymerase chain reaction-denaturing gradient gel electrophoresis technique (PCR-DGGE), and to make a comparison between the two strains to select a better bio-culture for raw beef. Moreover, the dominant bacteria at each storage time will be determined by conventional plate count methods, compared to analysis of the main bands on DGGE profiles, to verify the consistency of culture-dependent and independent methods. Also the pH value, color and total volatile basic nitrogen (TVBN) was measured to examine beef quality and stability upon addition of bio-preservatives.

MATERIALS AND METHODS

Preparation of the bio-protective culture solutions and samples

Bio-protective culture solutions

The protective cultures used were commercial cultures Bactoferm B-2 (L. sakei) and SafePro B-LC-48 (L. curvatus) supplied by Chr. Hansen (Copenhagen, Denmark). Each culture was reconstituted according to the manufacturer’s instructions. The final culture solution was set to deliver a concentration around 7.5 log10 CFU/g for the dipped beef samples.

Sample procedures

The beef cattle slaughter procedure was performed according to the guidelines of the Animal Ethics Committee in Shandong Agricultural University as approved by the State Scientific and Technological Commission in November 1988 (China). Twelve conventionally segmented longissimus lumborum (LL, 12th rib to the last lumbar vertebrae, 24 h postmortem, pH24h 5.4 to 5.7) from six carcasses were selected from a cattle slaughter plant based in Shandong province, China. Muscles from the same animal were pair- vacuum packed, placed in a foam box and transported to the laboratory within 2 h. Every treatment was repeated three times on separate days; thus two carcasses were used for one trial.

Tendons were removed aseptically, and the LL was cut perpendicularly to the muscle fibers into 25 cm2 steak samples approximately 2 cm thick. Fifty-four slices in total were collected from both sides of the LL from one carcass. Those slices were randomly assigned to dip into the L. sakei solutions for 30 s as Ls samples and another 18 slices into L. curvatus solutions as Lc samples, and then both treated samples were drained aseptically for 1 min. The 18 cuts left without treatment were regarded as control samples. All the slices were separately vacuum packed. The vacuum bags were composed of polyamide/polyethylene film with oxygen permeability <15 cm3/m2/24 h at 25°C, 1 atm, and thickness of 80 μm. All the samples were collected immediately after inoculation (day 0) and at 7, 13, 21, 28, 38 days storage at 4°C. Three packages of Ls, Lc, or control cuts were used for the following analyses at each time interval.

Polymerase chain reaction-denaturing gradient gel electrophoresis procedures

DNA extraction

Total bacterial DNA was directly extracted from duplicate Ls, Lc, or control samples at each designated time. Twenty-five grams of each sample from 3 cuts was placed into the blender bags (BagFilter 400, Interscience, Mourjou, France) and 225 mL of sterile 0.85% peptone saline solution was added. Samples were processed for 60 s with a blender (BagMixer Interscience, France). Ten milliliters of each sample were centrifuged for 2 min at 12,000×g (5415D, Eppendorf, Germany), and the pellet was collected for the bacterial DNA extraction. The GenElute Kit (Bacterial Genomic DNA Kit, Sigma, St. Louis, MO, USA) was used to make the extraction, according to the manufacturer’s protocol, and the DNA solution identification was estimated by agarose gel (1%, containing Goldview I) electrophoresis.

Polymerase chain reaction reaction

Nested PCR and touchdown PCR reactions were followed as described by Rochelle [20], Li et al [21], and Hu et al [22] with a small modification. Briefly, the primer pairs were 8f (5′-GGA GAG TTT GAT CA/CT GGC T-3′) and 798r (5′-CCA GGG TAT CTA ATC CTG TT-3′), which yielded approximately 800 bp 16SrDNA fragments. Amplification reactions were carried out in a 50 μL reaction volume containing Premix Taq (2×) 25 μL; each primer 2 μL (0.4 μM), DNA template (2 μL), and ddH2O (19 μL). The second round of PCR was carried out using primers gc338f and 518r, which yielded about 230 bp fragments, spanning the V3 region of the 16SrDNA, as previously described [7,22]. The reaction volume was the 50 μL system, in which the elements contained were the same as mentioned above. To evaluate the specificity of the amplification, the touchdown PCR program was also employed as described in the previous study [22]. The presence of PCR products was tested by 1.0% agarose gel electrophoresis.

Denaturing gradient gel electrophoresis analysis

PCR products were analyzed by DGGE using a Bio-Rad D-code apparatus. Samples were applied to 8% (wt/vol) polyacrylamide gels in 0.5×Tris base-acetic acid buffer. Parallel electrophoresis experiments were performed at 60°C by using gels containing a 30% to 60% urea-formamide denaturing gradient (100% corresponded to 7 M urea and 40% (wt/vol) formamide). The gels ran for 16 h at 75 V, then were stained with ethidium bromide for 5 min, rinsed for 15 min in distilled water, observed and photographed by the Bio-Rad Gel Doc system (BioRad, Milano, Italy).

Sequencing of DGGE bands

The procedure was performed according to Hu et al [22] except for the following modification. The volume of the eluted sterile water for the DNA from each band was 30 μL, and consequently, 3 μL of the eluted DNA from each DGGE band was re-amplified. Final samples were sent to Sangon Biotech Company (Shanghai, China) for sequencing. GenBank DNA data base was used for the identification of those sequences [23]. Sequences with more than 96% identity were considered to represent the same genus (speculative species).

Microbiological analysis

At designated time intervals, duplicate 25 g meat samples from Ls, Lc, or control cuts were separately placed in blender bags (BagFilter 400, Interscience, France) and 225 mL of sterile peptone saline solution (NaCl 0.85%; peptone 0.1%) was added. Samples were processed for 60 s with a blender (BagMixer Interscience, France) and serial diluted 10-fold to the desired dilution. Proper volume of each sample from the desired dilutions was spread on the following culture plates in replication. Plate Count Agar (PCA agar, LuQiao Company, Beijing, China) for total viable counts (TVC) was incubated at 37°C for 48 h; Man-Rogosa-Sharpe agar (MRS agar, LuQiao Company, Beijing, China) for LAB was incubated at 37°C for 48 h; violet red bile glucose agar (LuQiao Company, China) for Enterobacteriaceae in overlaid pour plates was incubated at 37°C for 48 h. Streptomycin thallous acetate actidione agar (Oxoid, UK) was used for Brochothrix thermosphacta (B. thermosphacta) incubated at 25°C for 48 h. Pseudomonas spp. were enumerated on Pseudomonas agar base (Haibo, Qingdao, China) supplemented with cetrimide-fucidin-cephaloridine selective supplement (Haibo Company, China) incubated at 25°C for 48 h.

Beef quality measurements

pH

The pH value of duplicate samples were determined at 0, 7, 13, 21, 28, and 38 days using a portable pH meter (SenvenGo, Mettlertoledo, Im Langacher Greifensee, Switzerland) which was calibrated in buffers with pH 4.00 and 7.00. The probe was inserted directly into the meat samples. Each sample was measured three times, responding to 3 cuts, and the results were the average of the sample.

Color

At each time interval, duplicate samples were exposed to the air at room temperature for 30 min before color measurement to allow meat pigment oxygenation. An X-Rite SP62 portable sphere spectrophotometer (8 mm diameter aperture, illuminant A, 10° observer; X-Rite Incorporated, Grand Rapids, MI, USA) was used to measure the Commission Internationale de l’Eclairage L* and a* color space of meat samples. At least 6 points were measured on each sample. The results were recorded as the mean of these measurements.

Total volatile basic nitrogen

To measure the TVBN, duplicate 10 g raw beef portions from Ls, Lc, or control samples were minced, mixed well and placed in conical flasks. Then, 100 mL of water was added, and the suspension was occasionally agitated until they were filtered after 30 min of immersion. The filtrates were refrigerated until further use. The TVBN content was measured by semi-micro diffusion method [24,25].

Statistical analysis

The effects of L. sakei and L. curvatus on the microbial load (TVC, total LAB, Enterbacteraceae, Pseudomonas pp. and B. thermosphacta) and beef quality during extended storage were evaluated using the analysis of variance using IBM SSPS Statistic (19.0.0). All the data were represented as mean±standard deviation. Duncan’s multiple comparisons with p value threshold of <0.05 were used to identify significant differences between microbial counts or means of quality parameters between Ls, Lc, and control treatments at the same storage time, or among different storage times exposed to the same treatment. The fingerprints of the DGGE profile were analyzed using the Quantity one ID analysis software version 4.5 (Bio-Rad, Hercules, CA, USA).

RESULTS AND DISCUSSION

Denaturing gradient gel electrophoresis profiles

Dynamic changes of the microbial community profiles during 38 days storage were obtained from the raw beef inoculated with L. sakei or L. curvatus (as Ls samples and Lc samples, respectively) and beef samples without any treatment (as control) by using the nested PCR-DGGE (Figure 1). No significant differences were detected in the DGGE profiles in triplicate runs of the same samples. High bacterial diversity and dynamic changes were observed during the 38 days storage. More than 20 different bands were found, of which 16 bands were identified by 16S rDNA sequencing. The GenBank accession numbers for the nucleotide sequences obtained from the DGGE bands are shown in Table 1. These sequences displayed a greater than 98% identity with sequences in the GenBank databases except for band 3, which showed 95% similarity.

Figure 1.

Figure 1

Denaturing gradient gel electrophoresis (DGGE) profile of 16S rDNA polymerase chain reaction products recovered from vacuum-packaged raw beef at 4°C with or without inoculation of bio-protective cultures for 0 to 38 days. Lanes C0–C38 represent control samples; Lanes Ls0–Ls38 represent treatment with protective culture Lactobacillus sakei and Lanes Lc0-Lc38 represent treatment with protective culture Lactobacillus curvatus. Bands indicated by numbers 1–16 were excised, and after re-amplification, subjected to sequencing.

Table 1.

Microbial genus identification after sequencing of the variable V3 region of the 16S- rDNA genes (230 bp) purified from PCR-DGGE profiles

Band No. Closest relatives Identity (%) Accession No.
1 Uncultured bacterium 99 JF719396.1
2 Lactobacillus sakei 100 AB671579.1
3 Serratia sp. 95 HQ690889.1
4 Lactobacillus curvatus 100 JF756310.1
5 Enterbacteriaceae bacterium 99 JN571324.1
6 Pseudomonas fragi 100 HQ824990.1
7 Brochothrix thermosphacta 100 JF756334.1
8 Pseudomonas putida 100 JF745568.1
9 Uncultured bacteria 99 JN378768.1
10 Listeria sp. 100 JF967622.1
11 Uncultured Pseudomonas sp. 99 FN554308.1
12 Lactobacillus graminis 99 GU470987.1
13 Leuconostoc mesenteroides 100 JF756260.1
14 Uncultured Lactobacillus 99 GU363936.1
15 Lactobacillus fuchuensis 100 JF756333.1
16 Leuconostoc carnosum 100 JF756140.1

PCR-DGGE, polymerase chain reaction-denaturing gradient gel electrophoresis.

Microbial diversity of vacuum-packaged raw beef during the 38 days storage at 4°C (control samples)

There was a high initial bacterial diversity in the vacuum-packaged raw beef. Seven bands were detected at 0 d in the control samples, of which band 2 was the most intensive one, suggesting that the corresponding bacteria for this band was the main bacterial contaminant from the slaughter plant, and it was defined as L. sakei according to the sequencing results (Table 1). Bands 1, 3, and 9 in lane C0 were some uncultured bacteria and uncommon contaminating bacteria in raw beef, while bands 12 and 13 were very common bacteria found in vacuum-packaged meat, belonging to LAB. Band 10 was identified as Listeria sp., which reflected that the hygiene conditions of the beef processing plant need to improve, as there was a high possibility of the existence of pathogenic bacteria-Listeria monocytogenes in the plant.

The bacterial diversity changed as the storage time extended. L. sakei existed throughout the entire storage period, as well as another two strains of LAB (bands 12 and 13), although only with trace detection. Bands 1 and 3 disappeared on day 7, while bands 10 and 11 were not detected at later storage intervals, possibly due to the facultative anaerobic environment under vacuum packaging conditions. Bands 5 and 6 emerged in control samples on day 7 (lane C7) and continued to exist until the end. The intensity of bands 7 was very low until day 21 and there was a slight decrease at the final storage period. As shown in Table 1, those bands (5–7) corresponded to Enterbacteriaceae bacterium, Pseudomonas fragi (P. fragi), and B. thermosphacta, respectively. Further, two more bands (8 and 9, lane C38) were discovered at the last sampling day (C38). They were Pseudomonas putida (P. putida) and unknown uncultured bacteria, respectively (Table 1).

Similar to previous observations, this study found that the inherent LAB were not only the main components in the initial composition of contaminating bacteria, but also dominated throughout the entire storage time in the vacuum-packaged meat products [26]. Without regards to LAB, the other main microflora appeared in a relatively regular order during storage. Both Enterbacteriaceae and P. fragi bacteria emerged in the early storage days. B. thermosphacta shared the dominant position during the mid-storage times, and at the end, P. putida appeared and became the predominant bacteria. Previous studies found that these bacteria all contributed to beef deterioration. Enterobacteriaceae and B. thermosphacta were the prevailing spoilage organisms in vacuum packaging [1,27] and Pseudomonas spp. were acknowledged as the most dominant genus owing to their capability for glucose and amino acid degradation even in the vacuum-packaged conditions, of which P. fragi was the species most frequently isolated from the early stage while P. putida showed up in the latter stages of the meat storage [28,29].

Effects of L. sakei and L. curvatus on the microbial community of vacuum-packaged raw beef during 38 days storage at 4°C

With the inoculation of L. sakei or L. curvatus, the initial bacterial composition in Ls and Lc samples were dominated by those two bio-protective cultures, respectively (Lanes Ls0 and Lc0). Obviously, Enterbacteriaceae bacterium, P. fragi and B. thermosphacta (bands 5, 6, and 7) were completely inhibited during the prolonged storage and P. putida was suppressed until it appeared late in the storage period. Uncultured Lactobacillus, Lactobacillus fuchuensis, and Leuconostoc carnosum corresponded to bands 14, 15, and 16, respectively, together with Lactobacillus graminis and Leuconostoc mesenteroides (bands 12 and 13), were not significantly influenced by the bio-protective cultures, as those bands were only detected at trace levels in most of the samples across the entire storage period. These results were supported by a number of other studies, of which Katikou et al [6], found two strains of LAB was beneficial in reducing Enterbacteriaceae bacterium and Pseudomonas spp. in vacuum-packaged beef. Castellano et al [15] and Metaxopoulos et al [26] demonstrated that L. curvatus CRL705 and L. curvatus L442 reduced the B. thermosphacta population in meat discs and cured products at chill temperatures, respectively. Some other studies also found LAB could inhibit the growth of spoilage-related bacteria in ground beef, cooked ham or other meat products [16,22], as LAB always serve as powerful competitors to contaminating spoilage bacteria by producing a wide range of antimicrobial metabolites such as organic acids [9].

Additionally, a distinctive result we found was that the dominant position of L. curvatus was replaced by indigenous L. sakei after 13 days for L. curvatus-inoculated samples (Figure 1). Castellano et al [30] reported that the bio-protective culture L. casei (curvatus) could not completely inhibit the growth of L. sakei CRL 1424 when inoculated in the meat slurry at an initial concentration of 3.6 log CUF/mL. In view of this, in the present study, band 2 shown in Ls samples may be the combination of the inoculated and the indigenous L. sakei strains. We speculated this phenomenon mainly was related to the hydrolysis of arginine. This postulation was also supported by the findings of Chaillou et al [31], who revealed that L. sakei had the ability to degrade the arginine to avoid cell death after glucose depletion, which has an important role for survival of L. sakei on meat. However, it should be noted that the inoculated L. sakei and L. curvatus must play a major role in suppressing the spoilage-related bacteria that was observed in this study during the early storage time, as the indigenous L. sakei alone could not inhibit the growth of those bacteria shown in control samples.

Spoilage-related microbial load based on the culture-dependent methods

As shown in Figure 2, the inoculation of L. sakei and L. curvatus resulted in about 3 log10 CFU/g higher initial number of TVC than that of control samples (p<0.05). And the fluctuating values of TVC number were less than 1-unit in both treated samples from the early stages of storage to the end, while the TVC number in control samples increased more than 3 log10 CFU/g (Figure 2a). The similar growth trends of LAB were found in Figure 2b. Raw-meat mass and the vacuum-packaging environment provided source and conditions for growth of contaminating LAB, respectively. As shown, those contaminating LAB adapted well and grew rapidly, then played a role in inhibiting the growth of other bacteria, which was exactly the primary purpose of the vacuum package design for fresh meat. The inoculation of additional LAB in meat products was for the enhancement of those preservative effects. However, most previous studies have paid little attention to this point. As demonstrated above, the DGGE technique application succeeded in distinguishing L. sakei and L. curvatus (bands 2 and 4, Figure 1) in the present study, in spite of their close relationship (belonging to the same genus), and resulting in difficulty to separate their effects, especially in meat products [10]. Thus, the plate counts of LAB obtained here included the inoculated and indigenous LAB. Specifically, in Ls samples, LAB number should be those inoculated L. sakei plus those indigenous L. sakei and other LAB in beef samples. Similarly in Lc samples, LAB number should be the inoculated L. curvatus and those indigenous L. sakei as shown in the DGGE profile plus other LAB. These findings provided basic information for the further study about the interactions between inoculated and indigenous LAB cultures, and assist in the selection of better bio-protective cultures for raw meat.

Figure 2.

Figure 2

Effect of inoculation with Lactobacillus sakei and Lactobacillus curvatus on total viable counts (TVC) (a) and lactic acid bacteria (LAB) (b) of vacuum-packaged raw beef at 4°C for 0 to 38 days. The different uppercase letters (A–D) indicate significant differences between storage times for the same treatment, and the different lowercase letters (a–c) indicate significant differences between treatments at the same time point (p<0.05).

To verify the inhibitory action of L. sakei and L. curvatus to Enterbacteriaceae Pseudomonas spp. and B. thermosphacta based on the results obtained from DGGE profiles, the culture-dependent methods were employed. As shown in Figure 3a–3c, the inoculation of bio-protective cultures exhibited a significant inhibitory effect on the growth of those spoilage-related bacteria. Specifically, both L. sakei and L. curvatus suppressed the growth of Enterbacteriaceae. Compared with control samples, obvious reduction of the bacterial number was observed at day 13 and day 21 in Ls and Lc samples, respectively. And the reduction was significantly (p<0.05) greater in Ls samples than that in Lc samples from day 7, indicating that L. sakei exerted a stronger inhibitory effect on Enterbacteriaceae than L. curvatus. For Pseudomonas spp. (Figure 3b), there was no significant difference of the growth between treated and control samples at the first 3 weeks storage, while the significant reduction (p<0.05) of the number in both bio-protected samples was found after 28 days storage, and the reduction was even greater in Ls samples at day 28. The inhibitory effects of bio-protective cultures on B. thermosphacta are shown in Figure 3c. No significant (p>0.05) reduction of this bacterium was found due to the inoculation of L. curvatus in raw beef samples during the entire storage period. In contrast, the presence of L. sakei inhibited the growth of B. thermosphacta to a considerable extent (p<0.05) throughout the entire storage period. The plate counts results obtained here were consistent with the DGGE results, both showing an effectiveness of the inhibition towards Enterbacteriaceae, Pseudomonas spp. and B. thermosphacta by applying L. sakei and L. curvatus in raw beef, which was also in agreement with previous studies mentioned above [6,15,26], mainly due to both strains providing favorable antagonistic activity against those undesired microorganisms [32].

Figure 3.

Figure 3

Effect of inoculation with Lactobacillus sakei and Lactobacillus curvatus on growth of Enterbacteraceae (a), Pseudomonas spp. (b), and Brochothrix thermosphacta (c) of vacuum-packaged beef at 4°C for 0 to 38 days. The different uppercase letters (A–E) indicate significant differences between storage times for the same treatment, and the different lowercase letters (a–c) indicate significant differences between treatments at the same time point (p<0.05).

Effect of L. sakei and L. curvatus on beef quality traits (pH, color, and TVBN)

There was no significant difference of the initial pH values (approximately 5.60) between the control and two treated samples (Table 2). As the storage time extended, the pH decreased in Ls and Lc samples while no significant changes were observed in control samples. From day 13, the pH value of the Ls samples decreased to a level lower than Lc and control samples, and the trend continued to day 38. The Lc samples showed a significantly lower pH value than that of control samples but still higher than Ls samples only in the last storage day. The final pH values of samples incubated with L. sakei and L. curvatus were 5.27 and 5.34, respectively, significantly (p<0.05) lower than the control sample (5.66). This finding was in agreement with several previous studies, which found that inoculation with LAB had the overall effect of decreasing pH for meat slurry, beef homogenates and lamb [11,15,18]. It is still uncertain, but likely that this small pH decline contributes to the growth inhibition of other bacteria by LAB.

Table 2.

Effect of Lactobacillus sakei and Lactobacillus curvatus on pH values of vacuum-packaged raw beef at 4°C for 0 to 38 days

Control Lactobacillus sakei Lactobacillus curvatus
0 5.58±0.07Aa 5.55±0.03Aa 5.56±0.05Aa
7 5.51±0.04Aa 5.46±0.03Ab 5.50±0.05Aab
13 5.53±0.04Aa 5.36±0.02Bc 5.50±0.04Aab
21 5.51±0.08Aa 5.32±0.04Bcd 5.45±0.05Aabc
28 5.50±0.07Aa 5.23±0.09Bd 5.37±0.09ABb
38 5.66±0.04Aa 5.27±0.04Ccd 5.34±0.01Bb

Values are given as means±standard deviation from triplicate determinations.

A–C

Means significant differences between storage times for the same treatment (p<0.05).

a–d

Means significant differences between treatments at the same time point (p<0.05).

No significant difference of L* value was observed between treated and control samples immediately after the inoculation (Table 3). But the L* value of Ls and Lc samples became significantly (p<0.05) higher than that of control samples from day 13 and 28, respectively. The initial a* value for all treatments was also without any significant difference, and it declined (p<0.05) only at the last storage day in control samples, while both treated samples kept the redness well throughout the storage period (Table 3). The study of Katikou et al [6] also found LAB treated beef samples were not significantly different with untreated beef, and the L* value showed an increasing trend. Taken together, results indicated that the addition of L. sakei and L. curvatus bio-protective cultures on raw beef samples had no negative effect on the beef color, and on the contrary, it seems that L. sakei could improve the L* value in the latter stage of storage.

Table 3.

Effect of Lactobacillus sakei and Lactobacillus curvatus on L* value and a* value of vacuum-packaged raw beef at 4°C for 0 to 38 days

Item Control Lactobacillus sakei Lactobacillus curvatus
L* value 0 43.7±0.4Aa 43.8±1.1Aa 44.1±0.6Aa
7 44.0±1.3Aa 45.1±2.3Aa 44.3±1.1Aa
13 44.1±1.3Ba 46.4±0.4Aa 44.9±0.6ABa
21 43.7±1.3Ba 46.8±1.6Aa 46.0±1.5ABa
28 43.1±1.0Ba 46.0±0. 9Aa 46.5±0.6Aa
38 43.1±1.0Ba 46.2±0.5Aa 46.0±0.9Aa
a* value 0 18.1±0.4Aab 18.0±0.5Aa 17.9±0.8Aa
7 20.3±1.2Aa 19.2±0.2Aa 20.0±1.2Aa
13 19.2±1.1Aab 8.8±0.3Aa 18.3±0.2Aa
21 19.2±0.7Aab 18.9±1.3Aa 18.7±0.5Aa
28 18.4±1.6Aab 18.1±1.4Aa 17.5±0.8Aa
38 16.7±1.3Ab 18.0±0.3Aa 19.4±1.4Aa

Values are given as means±standard deviation from triplicate determinations.

A–B

Means significant differences between storage times for the same treatment (p<0.05).

a–b

Means significant differences between treatments at the same time point (p<0.05).

The determination of TVBN or volatile basic nitrogen (VBN) is widely used for evaluating the degree of freshness/spoilage for raw meat and fish [25,3336]. With a relatively low initial value (3.76 mg/100 g), TVBN in control samples gradually increased during the first 21 days and increased sharply thereafter (Figure 4). Based on the hygienic standard for fresh/frozen meat of livestock GB 2707–2016 (China), the beef would be defined as not fresh if the TVBN value was higher than 15 mg/100 g, which is also the maximum acceptable value for consumers [37]. At day 28, the TVBN value in control samples was 15.04 mg/100 g, already higher than the acceptable level; and at day 38, it was 21.54 mg/100 g, greatly higher than the benchmark. On the other hand, the TVBN in Ls and Lc samples maintained TVBN values below the acceptable level during the entire storage time. Even at the last storage day (38 d), the values were 11.66 and 9.82 mg/100 g for Ls and Lc samples, respectively. This result demonstrated that both L. sakei and L. curvatus exerted a protective action for the vacuum-packaged raw beef through reducing the production of TVBN.

Figure 4.

Figure 4

Effect of inoculation with Lactobacillus sakei and Lactobacillus curvatus on total volatile basic nitrogen (TVBN) of vacuum-packaged raw beef at 4°C for 0 to 38 days. The different uppercase letters (A–E) indicate significant differences between storage times for the same treatment, and the different lowercase letters (a–c) indicate significant differences between treatments at the same time point (p<0.05).

While TVBN is a very important meat spoilage indicator, some previous studies evaluated the effectiveness of bio-protective cultures on meat quality as measured by a sensory panel. Similarly with our study, those findings also showed that the inoculation of bio-protective cultures could maintain meat quality and prolong the shelf life, compared to non-inoculated controls [18]. Additionally, those studies found that the application of bio-protective cultures in fresh meat had no negative effects on the sensory attributes [6,18,38].

Overall, no negative beef quality traits were found in the beef samples inoculated with L. sakei or L. curvatus. Both cultures improved the lightness at the latter stage of storage and decreased the content of TVBN throughout the entire store period. The pH value was somewhat lower in L. sakei inoculated beef samples than non-inoculated samples, but this decline was acceptable according to previous research [15].

CONCLUSION

The bacteriostatic activity of two LAB strains (L. sakei and L. curvatus) as bio-protective cultures in vacuumed-packaged raw beef at 4°C were evaluated by using both culture-independent and culture-dependent methods. The PCR-DGGE results demonstrated that the inoculation of either L. sakei or L. curvatus significantly lowered the complexity of microbial diversity and slowed down the growth of spoilage bacteria during the whole storage time, which coincided with a marked reduction of the viable counts of Enterbacteraceae, Pseudomonas spp. and B. thermosphacta using appropriate selective media. Moreover, inoculation of LAB had some positive improvement on beef quality characteristics, especially for L. sakei inoculation treatment. Future efforts should also be oriented towards expanding our knowledge regarding the interaction between inoculated bio-protective cultures and the indigenous LAB in raw beef.

ACKNOWLEDGMENTS

This work was supported by the National Beef Cattle Industrial Technology System (CARS-37), funds for Shandong province agricultural innovation team (SDAIT-09-09) and funds of Shandong “Double Tops” Program (SYL2017XTTD12).

Footnotes

CONFLICT OF INTEREST

We certify that there is no conflict of interest with any financial organization regarding the material discussed in the manuscript.

REFERENCES

  • 1.Ercolini D, Russo F, Torrieri E, Masi P, Villani F. Changes in the spoilage-related microbiota of beef during refrigerated storage under different packaging conditions. Appl Environ Microbiol. 2006;72:4663–71. doi: 10.1128/AEM.00468-06. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Behsnilian D, Butz P, Greiner R, Lautenschlaeger R. Process-induced undesirable compounds: Chances of non-thermal approaches. Meat Sci. 2014;98:392–403. doi: 10.1016/j.meatsci.2014.06.038. [DOI] [PubMed] [Google Scholar]
  • 3.Theron MM, Lues JFR. Organic acids and meat preservation: A review. Food Rev Int. 2007;23:141–58. [Google Scholar]
  • 4.Zhou GH, Xu XL, Liu Y. Preservation technologies for fresh meat - A review. Meat Sci. 2010;86:119–28. doi: 10.1016/j.meatsci.2010.04.033. [DOI] [PubMed] [Google Scholar]
  • 5.Lucke FK. Utilization of microbes to process and preserve meat. Meat Sci. 2000;56:105–15. doi: 10.1016/s0309-1740(00)00029-2. [DOI] [PubMed] [Google Scholar]
  • 6.Katikou P, Ambrosiadis I, Georgantelis D, Koidis P, Georgakis SA. Effect of Lactobacillus-protective cultures with bacteriocin-like inhibitory substances’ producing ability on microbiological, chemical and sensory changes during storage of refrigerated vacuum-packaged sliced beef. Int J Food Microbiol. 2005;99:1303–13. doi: 10.1111/j.1365-2672.2005.02739.x. [DOI] [PubMed] [Google Scholar]
  • 7.Adams MR, Marteau P. On the safety of lactic-acid bacteria from food. Int J Food Microbiol. 1995;27:263–4. doi: 10.1016/0168-1605(95)00067-t. [DOI] [PubMed] [Google Scholar]
  • 8.Bredholt S, Nesbakken T, Holck A. Protective cultures inhibit growth of Listeria monocytogenes and Escherichia coli O157: H7 in cooked, sliced, vacuum- and gas-packaged meat. Int J Food Microbiol. 1999;53:43–52. doi: 10.1016/s0168-1605(99)00147-6. [DOI] [PubMed] [Google Scholar]
  • 9.Castellano P, Raya R, Vignolo G. Mode of action of lactocin 705, a two-component bacteriocin from Lactobacillus casei CRL705. Int J Food Microbiol. 2003;85:35–43. doi: 10.1016/s0168-1605(02)00479-8. [DOI] [PubMed] [Google Scholar]
  • 10.Champomier-Verges MC, Chaillou S, Cornet M, Zagorec M. Erratum to “Lactobacillus sakei: recent developments and future prospects” [Research in Microbiology 152 (2001) 839] Res Microbiol. 2002;153:115–23. doi: 10.1016/s0923-2508(01)01296-7. [DOI] [PubMed] [Google Scholar]
  • 11.Jones RJ, Wiklund E, Zagorec M, Tagg JR. Evaluation of stored lamb bio-preserved using a three-strain cocktail of Lactobacillus sakei . Meat Sci. 2010;86:955–9. doi: 10.1016/j.meatsci.2010.07.023. [DOI] [PubMed] [Google Scholar]
  • 12.Li P, Luo H, Kong B, Liu Q, Chen C. Formation of red myoglobin derivatives and inhibition of spoilage bacteria in raw meat batters by lactic acid bacteria and Staphylococcus xylosus . LWT- Food Sci Technol. 2016;68:251–7. [Google Scholar]
  • 13.Todorov SD, Stojanovski S, Iliev I, et al. Technology and safety assessment for lactic acid bacteria isolated from traditional Bulgarian fermented meat product “lukanka”. Braz J Microbiol. 2017;48:576–86. doi: 10.1016/j.bjm.2017.02.005. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Castellano P, Aristoy MC, Sentandreu MA, Vignolo G, Toldrá F. Lactobacillus sakei CRL1862 improves safety and protein hydrolysis in meat systems. Appl Environ Microbiol. 2012;113:1407–16. doi: 10.1111/jam.12005. [DOI] [PubMed] [Google Scholar]
  • 15.Castellano P, Vignolo G. Inhibition of Listeria innocua and Brochothrix thermosphacta in vacuum-packaged meat by addition of bacteriocinogenic Lactobacillus curvatus CRL705 and its bacteriocins. Lett Appl Microbiol. 2006;43:194–9. doi: 10.1111/j.1472-765X.2006.01933.x. [DOI] [PubMed] [Google Scholar]
  • 16.Chaillou S, Christieans S, Rivollier M, et al. Quantification and efficiency of Lactobacillus sakei strain mixtures used as protective cultures in ground beef. Meat Sci. 2014;97:332–8. doi: 10.1016/j.meatsci.2013.08.009. [DOI] [PubMed] [Google Scholar]
  • 17.Tirloni E, Cattaneo P, Ripamonti B, et al. In vitro evaluation of Lactobacillus animalis SB310, Lactobacillus paracasei subsp. paracasei SB137 and their mixtures as potential bioprotective agents for raw meat. Food Control. 2014;41:63–8. [Google Scholar]
  • 18.Castellano P, González C, Carduza F, Vignolo G. Protective action of Lactobacillus curvatus CRL705 on vacuum-packaged raw beef. Effect on sensory and structural characteristics. Meat Sci. 2010;85:394–401. doi: 10.1016/j.meatsci.2010.02.007. [DOI] [PubMed] [Google Scholar]
  • 19.Jones RJ, Zagorec M, Brightwell G, Tagg JR. Inhibition by Lactobacillus sakei of other species in the flora of vacuum packaged raw meats during prolonged storage. Food Microbiol. 2009;26:876–81. doi: 10.1016/j.fm.2009.06.003. [DOI] [PubMed] [Google Scholar]
  • 20.Rochelle PA, Will JAK, Fry JC, et al. Extraction and amplification of 16S rRNA genes from deep marine sediments and seawater to assess bacterial community diversity. In: Trevors JT, Elsas JD, editors. Nucleic acids in the environment. Berlin, Germany: Springer-Verlag; 1995. pp. 219–39. [Google Scholar]
  • 21.Li ZY, He LM, Wu J, Jiang Q. Bacterial community diversity associated with four marine sponges from the South China Sea based on 16S rDNA-DGGE fingerprinting. J Exp Mar Biol Ecol. 2006;329:75–85. [Google Scholar]
  • 22.Hu P, Xu XL, Zhou GH, et al. Study of the Lactobacillus sakei protective effect towards spoilage bacteria in vacuum packed cooked ham analyzed by PCR-DGGE. Meat Sci. 2008;80:462–9. doi: 10.1016/j.meatsci.2008.01.011. [DOI] [PubMed] [Google Scholar]
  • 23.Altschul SF, Madden TL, Schaffer AA, et al. Gapped BLAST and PSI-BLAST: a new generation of protein database search programs. Nucleic Acids Res. 1997;25:3389–402. doi: 10.1093/nar/25.17.3389. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Chinese standard GB 5009. 228-2016 . Method for analysis of hygienic standard of meat and meat products. Beijing, China: Ministry of Health of the People’s Republic of China and Standardization Administration of the People’s Republic of China; [Google Scholar]
  • 25.Huang L, Zhao J, Chen Q, Zhang Y. Nondestructive measurement of total volatile basic nitrogen (TVB-N) in pork meat by integrating near infrared spectroscopy, computer vision and electronic nose techniques. Food Chem. 2014;145:228–36. doi: 10.1016/j.foodchem.2013.06.073. [DOI] [PubMed] [Google Scholar]
  • 26.Metaxopoulos J, Mataragas M, Drosinos EH. Microbial interaction in cooked cured meat products under vacuum or modified atmosphere at 4 degrees C. J Appl Microbiol. 2002;93:363–73. doi: 10.1046/j.1365-2672.2002.01701.x. [DOI] [PubMed] [Google Scholar]
  • 27.Fontana C, Cocconcelli PS, Vignolo G. Direct molecular approach to monitoring bacterial colonization on vacuum-packaged beef. Appl Environ Microbiol. 2006;72:5618–22. doi: 10.1128/AEM.00029-06. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Molin G, Ternstrom A. Numerical taxonomy of psychrotrophic pseudomonads. J Gen Microbiol. 1982;128:1249–64. doi: 10.1099/00221287-128-6-1249. [DOI] [PubMed] [Google Scholar]
  • 29.Sutherland JP, Patterson JT, Murray JG. Changes in the microbiology of vacuum-packaged beef. J Appl Bacteriol. 1975;39:227–37. doi: 10.1111/j.1365-2672.1975.tb00568.x. [DOI] [PubMed] [Google Scholar]
  • 30.Castellano PH, Holzapfel WH, Vignolo GM. The control of Listeria innocua and Lactobacillus sakei in broth and meat slurry with the bacteriocinogenic strain Lactobacillus casei CRL705. Food Microbiol. 2004;21:291–8. [Google Scholar]
  • 31.Chaillou S, Champomier-Verges MC, Cornet M, et al. The complete genome sequence of the meat-borne lactic acid bacterium Lactobacillus sakei 23K. Nat Biotechnol. 2005;23:1527–33. doi: 10.1038/nbt1160. [DOI] [PubMed] [Google Scholar]
  • 32.Pothakos V, Devlieghere F, Villani F, Björkroth J, Ercolini D. Lactic acid bacteria and their controversial role in fresh meat spoilage. Meat Sci. 2015;109:66–74. doi: 10.1016/j.meatsci.2015.04.014. [DOI] [PubMed] [Google Scholar]
  • 33.Cai J, Chen Q, Wan X, Zhao J. Determination of total volatile basic nitrogen (TVB-N) content and Warner-Bratzler shear force (WBSF) in pork using Fourier transform near infrared (FT-NIR) spectroscopy. Food Chem. 2011;126:1354–60. [Google Scholar]
  • 34.Castro P, Padrón JCP, Cansino MJC, Velázquez ES, Larriva RMD. Total volatile base nitrogen and its use to assess freshness in European sea bass stored in ice. Food Control. 2006;17:245–8. [Google Scholar]
  • 35.Zhao F, Zhou G, Ye K, et al. Microbial changes in vacuum-packed chilled pork during storage. Meat Sci. 2015;100:145–9. doi: 10.1016/j.meatsci.2014.10.004. [DOI] [PubMed] [Google Scholar]
  • 36.Saito K, Ahhmed AM, Kawahara S, et al. Evaluation of the performance of osmotic dehydration sheets on freshness parameters in cold-stored beef biceps femoris muscle. Meat Sci. 2009;82:260–5. doi: 10.1016/j.meatsci.2009.01.024. [DOI] [PubMed] [Google Scholar]
  • 37.Chinese standard GB 2707-2016 . Standard for fresh (frozen) meat of livestock. Beijing, China: Ministry of Health of the People’s Republic of China and Standardization Administration of the People’s Republic of China; [Google Scholar]
  • 38.Babji Y, Murthy TR. Effect of inoculation of mesophilic lactic acid bacteria on microbial and sensory changes of minced goat meat during storage under vacuum and subsequent aerobic storage. Meat Sci. 2000;54:197–202. doi: 10.1016/s0309-1740(99)00101-1. [DOI] [PubMed] [Google Scholar]

Articles from Asian-Australasian Journal of Animal Sciences are provided here courtesy of Asian-Australasian Association of Animal Production Societies (AAAP)

RESOURCES