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Article

Optimized Culture Conditions for the Detection of Selected Strains of Bacillus in Eye Creams

1
Oak Ridge Institute for Science and Education, Oak Ridge, TN 37831, USA
2
U.S. Food and Drug Administration, Office of Cosmetics and Colors, College Park, MD 20740, USA
3
U.S. Food and Drug Administration, Office of Analytics and Outreach; College Park, MD 20740, USA
4
U.S. Food and Drug Administration, Office of Regulatory Science, College Park, MD 20740, USA
*
Authors to whom correspondence should be addressed.
Cosmetics 2017, 4(4), 56; https://doi.org/10.3390/cosmetics4040056
Submission received: 16 August 2017 / Revised: 20 November 2017 / Accepted: 11 December 2017 / Published: 16 December 2017

Abstract

:
Although eye area cosmetics contain preservatives, contamination can still occur during or after manufacture or through use. Understanding the likelihood of bacterial survival in eye creams begins with sensitive and accurate methods for the detection of bacterial contamination; therefore, we investigated optimal culture conditions, including neutralizers, dilution broths, and selective media for the detection of Bacillus in eye cream. Samples of three different brands of eye creams were first mixed with Tween 80, Tween 20, or a blend of Tween 60 and Span 80, then neutralized and non-neutralized samples were individually inoculated with B. cereus strains, B. mycoides, a mislabeled B. megaterium, B. subtilis or B. thuringiensis at a final concentration of 5 log CFU/g. The inoculated samples, with and without neutralizers, were spiral-plated and incubated at 30 °C for 24 h to 48 h. Presumptive colonies of Bacillus were enumerated on U. S. Food and Drug Administration Bacteriological Analytical Manual (FDA-BAM) referenced agars Bacillus cereus rapid agar (BACARA) and mannitol-egg yolk-polymixin agar (MYP). Our results show significant differences among the neutralizers, plates, and products. The combination of Tryptone- Azolectin-Tween and Tween 80 (TAT and T80) produced higher levels of Bacillus, estimated at 4.18 log CFU/g compared to growth on Modified letheen broth and Tween 80, which produced 3.97 log CFU/g (P < 0.05). Colony counts of B. cereus cells on MYP agar were significantly higher, than those on BACARA agar, showing an average of 4.25 log CFU/g versus 3.84 log CFU/g, respectively (P < 0.05). The growth of the strain mislabeled B. megaterium ATCC 6458 on B. cereus selective agars BACARA and MYP agar led us to further investigations. We identified bi-pyramidal crystals among colonies of the strain, and subsequent PCR identified the cry 1 gene, indicating that strain was actually B. thuringiensis subps. kurstaki.

1. Introduction

Although eye area cosmetics contain preservatives, contamination can still occur during or after manufacture or through use. Microbial contamination has been the cause of product recalls [1,2]. The presence of antimicrobial preservatives in cosmetics makes it difficult to detect and isolate microorganisms. Understanding the effects of preservatives on the growth of target organisms in enrichment media and on selective/differential plating agars is essential for the detection of pathogenic organisms in cosmetics. Microorganisms indigenous to the normal eye, significant isolates, and products isolates are recommended by the Personal Care Products Council for challenging eye cosmetics; these include Gram-positive spore former bacteria [3]. This research focusses on the detection and isolation of Bacillus spp. in eye area cosmetics. Bacillus species are Gram-positive rod-shaped bacteria that are widely found in the environment, such as soil, dust, water, and sediments. Bacillus cereus group is a subdivision of the Bacillus genus; the group currently comprises eight closely genetically related species that are formally recognized: B. cereus, B. thuringiensis, B. weihenstephanensis, B. mycoides, B. anthracis, B. toyonensis, B. cytotoxicus, and B. pseudomycoides [4]. “Presumptive B. cereus is the name utilized by ISO 7932:2005 and ISO 21871:2006 [5,6] in order to acknowledge the fact that the confirmatory stage does not enable the distinction of B. cereus from other members of the group on the surface of a selective culture medium. The bacterium exists as a spore former and vegetative cell in nature and as a vegetative when colonizing the human body. Vegetative cells of B. cereus produce a range of toxic enzymes responsible for gastrointestinal and non-gastrointestinal diseases by tissue destruction [7]. B. cereus is a rare but significant pathogen of the eye that can lead from mild to severe infections, and to severe endophthalmitis often resulting in the loss of the vision [8]. Cases of inflammation of the eye cornea (keratitis) have been reported to be linked with the use of contact lenses contaminated with B. subtilis and cereus [9,10,11]. Several eye-area cosmetic products contaminated with Bacillus species included the members of Bacillus cereus group (cereus and thuringiensis) have been recalled [12,13], however, there are currently no reports of eye infections associated with eye-area cosmetic products contaminated with Bacillus species. Besides the fact that B. cereus could be a potential threat to the user if all the key factors are present, all Bacillus species could also affect the integrity of cosmetic products [14].
Spores are resistant to extreme environments and may have been unaffected by the product formulation, therefore, vegetative cells were preferred in this study: We explored the optimum culture conditions for the detection and isolation of B cereus F 4227A, B. cereus F 6006, B. cereus ATCC 14579, B. megaterium ATCC 6458, B. mycoides ATCC 6462, B. subtilis ATCC 15563, and B. thuringiensis ATCC 35866 individually spiked into eye cream products (coded B, C and D) preserved differently (Table 1), for these tests. Products B and D used more conventional preservative ingredients, such as parabens, sodium benzoate, or potassium sorbate, while Product C was composed of 90% organic ingredients. Nonionic surfactants such as sorbitan esters (i.e., Spans) and polysorbates (i.e., Tweens) are used as emulsifiers, solubilizers, wetting agents and in number of applications [15]. In addition, to encourage the growth of bacteria in substances that contain conventional biocides, Spans and Tweens are used to neutralize the action of many biocides including parabens, sodium benzoate, potassium sorbate, phenolics, organic acids and esters, Tego compounds (amphoteric, ampholytic surface active agents), and iodine [16,17]. For this project, we evaluated the effectiveness of Tween 80 (T80), Tween 20 (T20) and a mixture of Tween 60 and Span 80 (TS) because these have been recognized to neutralize the effects of most preservatives. Modified letheen broth (MLB) and Tryptone-Azolectin-Tween (TAT) were tested as diluents. Finally, we used the selective plating media of B. cereus, BACARA and Mannitol Yolk Polymyxin (MYP) agars for the isolation and enumeration of Bacillus cereus, as recommended by the FDA-BAM [18].
An unexpected part of our research was identifying a mis-labeled strain. The strain mislabeled B. megaterium ATCC 6458 grew on agars meant to be selective for Bacillus cereus; therefore, we employed microscopic and molecular methods to determine the correct identifier for that bacterium.

2. Materials and Methods

2.1. Cosmetic Samples:

Eye cream products (N = 527) B, C, and D were purchased online and from multiple retail stores. All products were kept at the laboratory in their original containers, at room temperature. These eye creams used a variety of preservation techniques; some ingredients were plant-based substances known to have antimicrobial activities, and others were conventional preservatives. Product D used both types of preservatives. Table 1 is a representation of the antimicrobial agents from the products. The packaging of the eye creams did not indicate a period of durability for these products.

2.2. Preparation of Bacterial Strains

Five different Bacillus spp. were used for this study: 3 strains of B. cereus and 1 each of B. mycoides, B. subtilis, B. thuringiensis, and B. megaterium. The strains and their origins are listed in Table 2. All cultures were maintained at −80 °C in 20% glycerol. Each strain was aseptically sub-cultured into Nutrient Broth (NB, pH 7.2) (Difco™, Franklin Lakes, NJ, USA) for 24 h at 30 °C and stored at 4 °C for use. Prior to each experiment, cultures were grown in NB and incubated at 30 °C for 24 h. Cells were centrifuged (7500× g, 10 min, 4 °C), then washed twice in phosphate buffered saline (PBS) (Difco™). The cell pellets were resuspended in PBS and the cell density of each strain was adjusted to obtain final concentration ~7 log CFU/mL. The count of each strain was verified on Tryptic soy agar (TSA) (Difco™) by spiral plating technique.

2.3. Sample Preparation and Inoculation

Twenty grams of each eye cream were placed into sterile individual 50 mL polystyrene Falcon tubes, along with one of the following: 1) 20 mL of Tween 20, 20 mL of 50% Tween 80, or 20 mL of TS, 2) a blend of 10 mL of 20% Tween 60 (Fisher Thermo Scientific Inc., Pittsburgh, PA, USA), and 3) 10 mL of Span 80 (TS; Sigma-Aldrich Co. LLC, St Louis, MO, USA). We added glass beads to each tube, mixing thoroughly to obtain good homogenization and neutralization. Then 200 μL of fresh Bacillus culture was individually added to both the homogenized/neutralized and the non-neutralized samples to obtain ~5 log CFU/g cream. Each of the samples was vortexed to mix thoroughly and then maintained at room temperature (~15 °C) for 30 min.

2.4. Enumeration of Bacillus

After the exposure-time, 1 mL of each artificially contaminated sample was placed into a sterile 15 mL Falcon conical tube along with 9 mL of sterile Modified letheen broth (MLB) and Tryptone- Azolectin-Tween (TAT) broth (Difco™). After thorough mixing, appropriately diluted suspensions were spiral plated (WASP 2, Microbiology International, Frederick, MD, USA) on BACARA (BACARA, Biomerieux, Durham, NC, USA) and Mannitol Yolk Polymyxin (MYP, Oxoid, Basingstoke, UK) agars. The inoculated samples that had not undergone neutralizing treatment were spiral-plated on modified letheen agar (MLA; Difco™) following the modified method M-4 from the Personal Care Products Council [19]. Most probable number (MPN) method was used for samples presenting no growth on the plates [20]. A typical characteristic of the member of B. cereus group is an orange or pink color surrounded with a white halo on BACARA or MYP, respectively. The strain labelled B. megaterium showed that feature and led us to further investigation.

2.5. Testing for Protein Crystals in the Mislabeled Strain Using Two Staining Methods

First, an aliquot from a sporulated colony of purported B. megaterium was transferred to a microscope slide and the FDA-BAM staining procedure was followed [21]. To confirm the identification, we also used a modified method as follows [22]: A smear of purported B. megaterium was mixed with sterile water on a microscope slide which was then brought to boiling over the flame without burning, flooded with methanol, and air-dried. Next, we placed drops of 0.133% of brilliant blue R-250 (Fisher) dissolved in 50% acetic acid on the dried smear and incubated the slide at 55 °C for 5 min. After washing the slide with sterile water, we allowed it to air-dry, and examined it using a Nikon ECLIPSE 50i microscope (Nikon Instruments Inc., Melville, NY, USA) with a 100× oil immersion objective.

2.6. Determination of Cry Genes in Purported B. Megaterium, Using PCR

Using template DNA from the mislabeled strain of B. megaterium and B. thuringiensis ATCC 35866 subsp. kurstaki, as a positive control, and a second strain of B. megaterium, ATCC 6458, as a negative control we used a Norgen Kit (Biotek, Thorold, ON, Canada), and the GoTaq green master mix (Promega, Madison, WI, USA) to detect the cry 1 gene via PCR. Amplification was performed using a BioRad C1000 Thermal Cycler (Bio Rad, Hercules, CA, USA). The optimized PCR conditions were a single denaturation step of 3 min at 94 °C; 25 cycles of denaturation at 94 °C for 30 s, annealing at 60 °C for 1 min, and extension at 72 °C for 1 min; and final extension at 72 °C for 1min. The resulting PCR fragments were analyzed using a 2% E-gel precast agarose gel (Invitrogen, Thermo Fisher Scientific, Carlsbad, CA, USA) and the E-gel precast agarose electrophoresis system (Invitrogen). Purified sterile water and E-Gel1 kb Plus Ladder (Invitrogen) were added to the E-gel.

2.7. Statistical Analysis

This experiment was performed in triplicate (n = 3). These data were analyzed by repeated measures ANOVA using SAS 9.4 mixed procedure (SAS, Cary, NC, USA). Differences were accepted as statistically significant at P < 0.05.

3. Results and Discussion

3.1. Challenge in Products without Neutralization

The products B, C, and D were individually inoculated with the selected strain of Bacillus spp. used in this study. The cells were mixed with the products and kept at room temperature for 30 min before aliquots of the inoculated samples were spiral plated on MLA. The surviving Bacillus cells are shown in Table 3.
There was no statistical difference (P > 0.05) among the strains; however, the type of preservatives in the given product formulation did have a significant (P < 0.05) impact on whether strains were detected. Growth of bacteria inoculated into Product B resulted in an estimated 2.48 log CFU/g, which was significantly greater (P < 0.05) than the cell growth found in Product D (1.55 log CFU/g) or Product C (0.02 log MPN/g) (Figure 1). Intriguingly, the preservation system of Product C was mainly based on essential oils and citric acid and yet this showed the highest inhibitory effect against the cells of Bacillus. Vegetative bacterial cells produced spores as a survival strategy in response to adverse environmental conditions. In this study, essential oils contained in Product C inhibited the cells, and the cells were practically not detected after 24 h pre-enrichment at 30 °C and remained under the detection limit (0.04 log MPN/g). Voundi et al. [23] demonstrated that some essential oils had a bactericidal effect on vegetative cells and an inhibitory effect on both the germination and the outgrowth of Bacillus spores. Essential oils could damage a variety of targets within bacterial cells, particularly the membrane and cytoplasm, and in certain situations the action of these oils can completely alter the morphology of the cells [24]. In addition, various essential oils have been reported to have active components, which act as barriers for the germinant to bind to the receptors, and therefore they inhibit germination [25]. Product D, which displayed the next highest amount of bacterial growth, used potassium sorbate, sodium benzoate as preservatives, along with citric acid and plant extracts. Potassium sorbate and sodium benzoate are the sodium and potassium salts of sorbic acid and benzoic acid, respectively. Their modes of action are linked to their undissociated acidic forms. Those forms destroy the chemiosmotic balance across the cytoplasmic membrane, disrupting the membrane electrical potential by dissociating protons from the compounds, which then enter the cytoplasm of the cell [26]. The effectiveness of these organic acids is influenced by the inoculum level, temperature, pH, and concentration [27]. The least effective preservative system, judged by the growth of spiked Bacillus cells, belonged to Product B, which was preserved with parabens (alkyl esters of P-hydroxybenzoic acid) and diazolidinyl urea (a formaldehyde releaser). Other studies suggest that the most likely mode of action for parabens and urea as cosmetic preservatives is the disruption of bacterial membrane potential; this disruption interferes with membrane transport or energy generation. Cells exposed to parabens leak their intracellular contents without showing apparent changes in cell structure, and such cells can recover should they then encounter a nutrient rich environment [28]. Formaldehyde derivatives cause irreversible folding of membrane proteins by forming methylene bridges between amino acids [29].
As shown in Table 3, spiked vegetative cells of Bacillus often were injured or killed after, exposure to non-neutralized eye cream products. Cells of B. cereus ATCC 14579, B. megaterium ATCC 6458, B. mycoides ATCC 6462, and B. thuringiensis ATCC 35866 showed no growth in Product C.

3.2. Challenge Organisms in Products B, C, D Neutralized with T80, TS and T20

For these challenges, each Bacillus strain was spiked into Products B, C, and D, which had been previously mixed with the neutralizers T80, TS, or T20. Similar to the preceding experiment, the initial count of each Bacillus strain showed no statistical difference (P > 0.05). The results are presented in Table 4. A mixed model was used to detect the factor effects on bacterial growth, and the resulting P values are listed in Table 4. The neutralizers, products, broths and plating media each significantly influenced (P < 0.05) the growth and detection of the Bacillus cells. The results are presented in Table 5.

3.3. Neutralizers

The spiked cells grew significantly better in the samples neutralized with T80 (4.10 log CFU/g) as opposed to TS (3.72 log CFU/g), while the growth of the cells in products neutralized with TS was significantly (P < 0.05) better than growth in products neutralized using T20 (1.46 log CFU/g) (P < 0.05). Our results demonstrate that the neutralizers T80 and TS especially in Products B and D more effectively deactivated the preservatives. These findings confirm early observations by Marx and coworkers [30] who found a direct relationship between the degree to which a neutralizer was hydrophobic and its neutralization effectiveness: T20, the least hydrophobic neutralizer, was less able to inactivate preservatives than T60, which, in turn, was both less hydrophobic and less effective than T80. In our study, T80 was a better neutralizer than the combination of T60 + Span 80, although that combination was more effective than T20 alone. Interestingly, our previous studies had shown no difference between neutralizing effects of T80 and TS after 30 min in eye cream samples preserved with parabens for the enumeration of B. cereus [31]. The same observation was made in this study with Products B and D. However, T80 yielded significantly higher results than TS in Product C (P < 0.05), which is essentially preserved with plant extracts. This result implies that TS may not neutralize the essential oils as effectively as T80 can. Wedderburn [32] had reported T80 exhibited a great hydrophobicity that might allow better partitioning of the micelles, which would contribute to more effective neutralization of products’ preservatives. The addition of Span might have enabled better homogenization of ingredients, but it did not influence how effectively the essential oils were neutralized. It is possible that the means by which essential oils are inactivated by TS is different from how parabens or the organic acids and their salts can be neutralized.

3.4. Comparing the Effects of Neutralizers by Products

The bacterial growth in the T80 and TS conditions was similar: 3.50 and 3.58 log CFU/g in Product B, respectively; 4.96 and 4.91 log CFU/g in Product D, respectively (P > 0.05). However, in Product C, the amount of bacterial growth in the T80 samples was significantly higher (3.82 log CFU/g) than in T60 samples (2.69 log CFU/g). We found T80 was the best neutralizer in all three products. T20 was the least effective (1.28, 0.15 and 2.93 log CFU/ g in product B, C, D, respectively).

3.5. Best Diluting Broth Used in Conjunction with the Neutralizer T80

We used the same mixed model to test the effects of broth composition and plating media when T80 was used as a neutralizer. As shown in Table 6, each of these variables: product, broth, and plating media, had significant influence on the likelihood of bacterial recovery. The estimated average bacterial population when TAT was used was significantly higher, 4.18 log CFU/g, compared to the population in MLB, which was 3.97 log CFU/g (P < 0.05). This result indicated that using TAT + T80 leads to a higher recovery of the Bacillus cells than the combination of MLB + T80.

3.6. Best Plating Media for Use with T80

The average amount of bacterial growth on MYP was significantly higher (P < 0.05) (4.25 log CFU/g) compared to the average population on BARACA (3.84 log CFU/g).
The amount of bacterial growth from spiked samples of Product D was the same regardless of plating media (P > 0.05) but there were significant differences between outcomes for Products B and C (P < 0.05). In Product B, more growth was observed on MYP than on BACARA. It is possible that some of the ingredients in the formulation of Product B might interfere with the selective agents used in BACARA. This result observed with Product B is different from the results obtained with other products which raise the important question of whether detection of B. cereus on BACARA might depend on the composition of a specific cosmetic. We have also noticed that the loss of lecithinase expression by the B. cereus colonies: the typical white halo around colonies on these plates was absent. Studies have demonstrated that the lecithinase production of B. cereus is substrate dependent [33]. Kushner [34,35], for example, reported that the presence of alcohols and enzymes in the growth medium inhibited the synthesis of lecithinase by growing B. cereus. In our study, the synthesis of lecithinase might have been affected by some substances in the formulation of Products B.

3.7. Identification of Mislabeled Strain of Megaterium

MYP and BACARA agars are limited to differentiate among the members of B. cereus group; further alternative approaches for differentiation are carried out using microscopy or molecular methods. B. thuringiensis produces crystalline inclusion bodies during sporulation that can be seen under a microscope. This is the best criteria to distinguish B. thuringiensis from other related species in the Bacillus cereus group. The strain of Bacillus labeled B. megaterium ATCC 6258 grew on the chromogenic plate BACARA [36] but also on MYP with typical B. cereus features suggesting the strain actually was a member of the cereus group (Figure 2). Further investigation, including staining of this suspect strain using Brilliant Blue R250 and TB carbofuchsin (FDA-BAM method) revealed the presence of parasporal bodies indicating that the strain had been mislabeled. These staining patterns confirmed this strain as B. thuringiensis.

3.8. Determination of Cry Genes by PCR

The morphology, size, and number of parasporal bodies may vary among the strains. However, four distinct crystal morphologies are apparent: the bipyramidal crystal, related to Cry 1 proteins [37]; cuboidal inclusions related to Cry 2 proteins and usually associated with bipyramidal crystals [38]; amorphous and composite crystals related to Cry 4 and Cyt proteins [39]; and flat square crystals related to Cry 3 proteins [40,41]. Spherical and irregular crystal shapes can also be observed in some strains of B. thuringiensis [42].
As we were able to locate bipyramidal crystals under a microscope, we ran PCR analyses to confirm the presence of the cry 1 gene in the mislabeled B. megaterium. We used B. thuringiensis, B. thuringiensis subsp. kurtaski ATCC 35866 (positive control) and a newly purchased B. megaterium ATCC 6458 for this analysis. The template DNA of the three strains was amplified using the universal primers for the cry 1 gene, which produce PCR products of expected size around 270 bp for the positive control (lane 3) and the mislabeled B. megaterium (lane 4). As shown in Figure 3, the newly purchased strain of B. megaterium presented no such band (lane 2).

4. Conclusions

Our study showed that the optimized culture conditions for detecting Bacillus spp. in eye cream depends upon multiple factors: the product, dilution broths, neutralizer, and plating media. We found the combination of TAT + T80 allowed better recoveries of Bacillus strains especially in products naturally preserved. In addition, the preservation system of Product C mainly based on essential oils and citric acid showed the highest inhibitory effect against the cells of Bacillus among the three tested products. In light of these findings, follow-up studies will examine the use of the FDA-BAM method using MLB + T80 and TAT + T80 for the detection of Bacillus spp. and other pathogenic bacteria in eye cream and powder products with the goal of developing a cultural method of detection of bacteria in eye cream products.
BACARA and MYP demonstrated that the mislabeled strain of B. megaterium belonged to the member of B. cereus group, and the microscopy and molecular methods were necessary to further differentiate the strain as B. thuringiensis.

Acknowledgments

This work was supported by the Office of Cosmetics and Colors. We thank the team Prepmedia for preparing the media used in this study and Lili Fox Vélez for scientific writing support.

Author Contributions

Nadine Yossa and Thomas Hammack conceived and designed the experiments; Nadine Yossa and Gabriela Arce performed the experiment; Lanlan Yin analysed the data; Nadine Yossa wrote the paper. Thomas Hammack, Mei-Chiung Jo Huang, Rebecca Bell, Sandra Tallent, and Eric Brown contributed to the elaboration of the paper by giving pertinent suggestions and making corrections. James Smiley contributed by preparing the media and the reagents necessary for the execution of the study.

Conflicts of Interest

The authors declare no conflict of interest. The founding sponsors had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, and in the decision to publish the results.

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Figure 1. Bacillus strains in log CFU/g after exposure in Products A, B, and C without neutralizers.
Figure 1. Bacillus strains in log CFU/g after exposure in Products A, B, and C without neutralizers.
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Figure 2. Nikon ECLIPSE 50i microscope indicating crystals using Brilliant Blue R 250 staining (a) and BAM method (b); Oil immersion magnification 100×.
Figure 2. Nikon ECLIPSE 50i microscope indicating crystals using Brilliant Blue R 250 staining (a) and BAM method (b); Oil immersion magnification 100×.
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Figure 3. E-Gel (2% Agarose gel) electrophoresis of PCR products for cry 1 genes. Lane M: E-Gel 1 Kb Plus DNA Ladder; Lane 1: sterile water, Lane 2: B. megaterium ATCC 6458; Lane 3: B. thuringiensis subs. kurstaki ATCC 35866 as cry 1 positive control; Lane 4: strain mislabeled B. megaterium.
Figure 3. E-Gel (2% Agarose gel) electrophoresis of PCR products for cry 1 genes. Lane M: E-Gel 1 Kb Plus DNA Ladder; Lane 1: sterile water, Lane 2: B. megaterium ATCC 6458; Lane 3: B. thuringiensis subs. kurstaki ATCC 35866 as cry 1 positive control; Lane 4: strain mislabeled B. megaterium.
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Table 1. Preservatives and ingredients with antimicrobial properties found in the eye creams from three different manufacturers (Products B, C, and D).
Table 1. Preservatives and ingredients with antimicrobial properties found in the eye creams from three different manufacturers (Products B, C, and D).
Product B Product C (Organic)Product D
BisabololAloe barbadensisCamellia sinensis leaf
Diazolidinyl UreaAspalathus lineansCitric acid
MethylparabenCalendula officinalisPotassium sorbate
PropylparabenCitric acidSodium benzoate
Lavendula angustifolia
Oenotheris biennis
Olea europea
Punica granatum
Rhodiola Roots
Simmondsia chinensis
Product C: 90% organic; Products B and D contain conventional preservatives.
Table 2. Bacillus spp. used in this study.
Table 2. Bacillus spp. used in this study.
Bacillus spp.Strain ID
B. cereusF 4227 A
B. cereusF 60006
B. cereusATCC 14579
B. mycoides ATCC 6264
B. thuringiensisATCC 35866
B. megateriumATCC 6458
B. subtilisATCC 15563
F: indicates foodborne outbreak isolates from the U.S. Food and Drug Administration Center for Food Safety and Applied Nutrition culture collection (FDA CFSAN), provided by Sandra Tallent. ATCC: purchased from American Type Culture Collection (ATCC) (Manassas, VA).
Table 3. Detection of Bacillus strains in log CFU/g after exposure to non-neutralized eye cream products.
Table 3. Detection of Bacillus strains in log CFU/g after exposure to non-neutralized eye cream products.
StrainsBC*D
cereus ATCC 145791.99 ± 0.83NG0.13 ± 0.23
cereus F 600062.56 ± 0.800.03 ± 0.05 0.87 ± 1.50
cereus F4227A2.68 ±0.430.05 ± 0.051.44 ± 1.72
megaterium ATCC 64582.39 ± 0.89NG3.98 ± 1.07
mycoides ATCC 64623.32 ± 1.09NG1.69 ± 1.56
subtilis ATCC 155632.69 ± 2.350.03 ± 0.05 1.18 ± 2.04
thuringiensis ATCC 358661.75 ± 1.14NG1.59 ±1.50
Data represent mean ± SD, n = 3; NG = no growth. Values are direct plate counts in log CFU/g. * Values are MPN counts in log MPN/g.
Table 4. Factors influencing the growth of Bacillus strains.
Table 4. Factors influencing the growth of Bacillus strains.
Type 3 Tests of Fixed Effects
EffectF ValuePr > F
Product99.83<0.0001
Neutralizer183.03<0.0001
Bacteria0.030.9998
Broth10.730.0011
Media19.42<0.0001
Table 5. Detection of Bacillus* strains in log CFU/g on BACARA and MYP after exposure to neutralized eye cream products.
Table 5. Detection of Bacillus* strains in log CFU/g on BACARA and MYP after exposure to neutralized eye cream products.
NeutralizersStrainsBrothBCD
BACARAMYPBACARAMYPBACARAMYP
T804227MLB2.0 ± 1.93.5 ± 0.43.4 ± 0.64.1 ± 0.24.9 ± 0.24.9 ± 0.2
TAT2.1 ± 1.53.5 ± 0.33.6 ± 0.64.1 ± 0.55.0 ± 0.34.9 ± 0.3
60006MLB2.1 ± 1.93.6 ± 0.63.9 ± 0.74.4 ± 0.65.2 ± 0.05.2 ± 0.0
TAT2.7 ± 1.73.3 ± 0.24.1 ± 0.84.5 ± 0.75.2 ± 0.05.2 ± 0.0
14579MLB3.9 ± 0.13.9 ± 0.23.5 ± 0.64.3 ± 0.45.3 ± 0.15.3 ± 0.0
TAT4.3 ± 0.44.1 ± 0.54.1 ± 0.74.4 ± 0.65.2 ± 0.25.3 ± 0.0
6458MLB2.5 ± 2.13.9 ± 0.22.8 ± 2.13.0 ± 2.35.2 ± 0.15.1 ± 0.0
TAT3.2 ± 1.74.0 ± 0.12.9 ± 1.73.9 ± 0.85.2 ± 0.15.0 ± 0.2
6264MLB3.4 ± 0.53.7 ± 0.52.7 ± 2.43.0 ± 2.65.0 ± 0.45.0 ± 0.5
TAT3.4 ± 1.53.8 ± 0.83.8 ± 0.44.0 ± 0.95.1 ± 0.45.1 ± 0.4
15563MLBNG3.8 ± 0.5NG3.8 ± 1.5NG4.5± 0.4
TATNG4.2 ± 0.4NG4.2 ± 0.8NG4.5 ± 0.3
35866MLB2.2 ± 1.53.6 ± 0.23.8 ± 0.54.5 ± 0.35.1 ± 0.15.0 ± 0.1
TAT3.6 ± 0.24.0 ± 0.84.3 ± 0.44.6 ± 0.55.1 ± 0.15.0 ± 0.1
T204227MLB2.0 ± 0.71.6 ± 1.40.5 ± 0.40.9 ± 1.02.4 ± 0.83.2 ± 0.6
TAT1.9 ± 1.02.2 ± 1.30.4 ± 0.50.4 ± 0.52.4 ± 0.42.7 ± 0.7
60006MLB1.4 ± 2.40.9 ± 1.6NGNG3.0 ± 1.22.6 ± 1.0
TAT0.6 ± 1.00.6 ± 1.00.2 ± 0.20.7 ± 1.11.8 ± 1.12.2 ± 1.5
14579MLB1.3 ± 1.31.3 ± 1.3NGNG2.5 ± 0.72.9 ± 0.8
TAT1.2 ± 1.61.2 ± 1.6NGNG2.9 ± 0.63.0 ± 0.6
6458MLB0.4 ± 0.60.4 ± 0.6NG0.3 ± 0.53.4 ± 0.33.6 ± 0.2
TAT0.6 ± 0.50.6 ± 0.60.2 ± 0.20.2 ± 0.23.2±1.33.4 ± 1.2
6264MLB2.3 ± 1.82.3 ± 1.8NGNG2.5 ± 0.62.5 ± 0.1
TAT1.6 ± 1.61.6 ± 1.6NGNG3.6 ± 1.23.3 ± 1.6
15563MLBNG2.6 ± 2.0NG0.3 ± 0.5NA2.7±0.8
TATNG1.1 ± 1.3NG0.4 ± 0.6 NA2.8 ± 2.4
35866MLB0.9 ± 0.70.8 ± 0.7NGNG2.7±0.92.9 ± 1.1
TAT0.5 ± 0.50.7 ± 0.8NGNG2.7±0.83.2 ± 1.0
TS4227MLB1.8 ± 1.83.5 ± 0.62.3 ± 1.42.7 ± 1.74.9 ± 0.24.8 ± 0.2
TAT2.0 ± 1.83.3 ± 0.62.3 ± 1.53.1 ± 1.04.8 ± 0.34.8 ± 0.2
60006MLB3.0 ± 0.43.7 ± 0.11.7 ± 2.12.4 ± 1.75.2 ± 0.25.1 ± 0.1
TAT2.8 ± 1.83.6 ± 0.12.3 ± 1.72.5 ± 2.05.2 ± 0.05.1 ± 0.1
14579MLB3.5 ± 0.13.8 ± 0.20.8 ± 1.31.1 ± 1.85.2 ± 0.15.2 ± 0.1
TAT3.5 ± 1.54.3 ± 0.70.2 ± 1.41.3 ± 1.65.2 ± 0.25.3 ± 0.1
6458MLB3.0 ± 1.83.9 ± 0.32.0 ± 1.32.7 ± 1.85.1± 0.15.0 ± 0.1
TAT3.1 ± 1.84.0 ± 0.22.4 ± 1.02.7 ± 1.35.1 ± 0.15.1 ± 0.1
6264MLB4.0 ± 0.74.0 ± 0.82.2 ± 1.52.8 ± 1.85.0 ± 0.34.9 ± 0.3
TAT3.2 ± 1.54.0 ± 0.62.2 ± 0.73.1 ± 1.45.0 ± 0.35.0 ± 0.3
15563MLBNA3.5 ± 0.8NA2.5 ± 2.3NA4.5 ± 1.0
TATNA4.3 ± 0.7NA2.6 ± 2.4NA4.4±0.6
35866MLB2.7 ± 2.33.9 ± 0.61.9 ± 1.82.5 ± 2.25.1 ± 0.05.0 ± 0.1
TAT2.8 ± 2.53.9 ± 0.61.8 ± 1.32.8 ± 2.15.0 ± 0.15.0 ± 0.1
* B. cereus F 4227A, B. cereus F 60006, B. cereus ATCC 14579, B. labeled megaterium ATCC 6458, B. mycoides ATCC 6264, B. subtilis ATTC 15563, B. thuringiensis ATCC 35866. 5 log CFU/ml of each cell. Data represent mean ± SD, n = 3; NG = no growth. Values are direct plate counts in log CFU/g. MLB: Modified Letheen Broth; TAT: Tryptone-Azolectin-Tween; T20: Tween 20, T80: Tween 80; TS: blend of Tween 60 and Span 80.
Table 6. Factors influencing the growth of bacteria using the neutralizer T80.
Table 6. Factors influencing the growth of bacteria using the neutralizer T80.
Type 3 Tests of Fixed Effects
EffectF ValuePr > F
Product24.84<0.0001
Bacteria0.670.6704
Broth16.14<0.0001
Media14.67<0.0001

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Yossa, N.; Arce, G.; Smiley, J.; Huang, M.-C.J.; Yin, L.; Bell, R.; Tallent, S.; Brown, E.; Hammack, T. Optimized Culture Conditions for the Detection of Selected Strains of Bacillus in Eye Creams. Cosmetics 2017, 4, 56. https://doi.org/10.3390/cosmetics4040056

AMA Style

Yossa N, Arce G, Smiley J, Huang M-CJ, Yin L, Bell R, Tallent S, Brown E, Hammack T. Optimized Culture Conditions for the Detection of Selected Strains of Bacillus in Eye Creams. Cosmetics. 2017; 4(4):56. https://doi.org/10.3390/cosmetics4040056

Chicago/Turabian Style

Yossa, Nadine, Gabriela Arce, James Smiley, Mei-Chiung Jo Huang, Lanlan Yin, Rebecca Bell, Sandra Tallent, Eric Brown, and Thomas Hammack. 2017. "Optimized Culture Conditions for the Detection of Selected Strains of Bacillus in Eye Creams" Cosmetics 4, no. 4: 56. https://doi.org/10.3390/cosmetics4040056

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