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<article article-type="research-article" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xml:lang="en">
<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">IJFS</journal-id>
<journal-title-group>
<journal-title>Italian Journal of Food Science</journal-title>
<abbrev-journal-title>IJFS</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">1120-1770</issn>
<publisher>
<publisher-name>Codon Publications</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="publisher-id">IJFS-37-255</article-id>
<article-id pub-id-type="doi">10.15586/ijfs.v37i3.3024</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>ORIGINAL ARTICLE</subject>
</subj-group>
</article-categories>
<title-group>
<article-title><italic>Bacillus cereus</italic> in meat products: Prevalence, toxins profile, antibiogram profile, and antimicrobial activity of Apple cider vinegar</article-title>
</title-group>
<contrib-group content-type="authors">
<contrib contrib-type="author" corresp="yes"><name><surname>Elbarbary</surname> <given-names>Nady Khairy</given-names></name><xref ref-type="aff" rid="aff1">1</xref><xref ref-type="corresp" rid="cor1"/></contrib> 
<contrib contrib-type="author"><name><surname>Rhouma</surname> <given-names>Nasreddin R.</given-names></name><xref ref-type="aff" rid="aff2">2</xref></contrib> 
<contrib contrib-type="author"><name><surname>Abdelhafeez</surname> <given-names>Mostafa M.</given-names></name><xref ref-type="aff" rid="aff3">3</xref></contrib> 
<contrib contrib-type="author"><name><surname>Almutairi</surname> <given-names>Layla A.</given-names></name><xref ref-type="aff" rid="aff4">4</xref></contrib> 
<contrib contrib-type="author"><name><surname>Al-Doaiss</surname> <given-names>Amin A.</given-names></name><xref ref-type="aff" rid="aff5">5</xref></contrib> 
<contrib contrib-type="author"><name><surname>Ahmed</surname> <given-names>Ahmed Ezzat</given-names></name><xref ref-type="aff" rid="aff5">5</xref><xref ref-type="aff" rid="aff6">6</xref></contrib> 
<contrib contrib-type="author"><name><surname>El-Hawary</surname> <given-names>Sohaila Fathi</given-names></name><xref ref-type="aff" rid="aff7">7</xref></contrib> 
<contrib contrib-type="author"><name><surname>Dandrawy</surname> <given-names>Mohamed K.</given-names></name><xref ref-type="aff" rid="aff8">8</xref></contrib> 
<contrib contrib-type="author"><name><surname>Bekhit</surname> <given-names>Mounir M.</given-names></name><xref ref-type="aff" rid="aff9">9</xref></contrib> 
<contrib contrib-type="author"><name><surname>Darwish</surname> <given-names>Wageh S.</given-names></name><xref ref-type="aff" rid="aff10">10</xref></contrib> 
<contrib contrib-type="author"><name><surname>Abdelhaseib</surname> <given-names>Maha</given-names></name><xref ref-type="aff" rid="aff11">11</xref></contrib>
<aff id="aff1"><label>1</label>Food Hygiene and Control Department, Faculty of Veterinary Medicine, Aswan University, Aswan, Egypt;</aff>
<aff id="aff2"><label>2</label>Biology Department, Faculty of Science, Misurata University, Misurata, Libya;</aff>
<aff id="aff3"><label>3</label>Public Health Department, Faculty of Health Sciences, Alasmarya Islamic University, Libya;</aff> 
<aff id="aff4"><label>4</label>Department of Biology, College of Science, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia;</aff>
<aff id="aff5"><label>5</label>Department of Biology, College of Science, King Khalid University, Abha, Saudi Arabia;</aff>
<aff id="aff6"><label>6</label>Prince Sultan Bin Abdelaziz for Environmental Research and Natural Resources Sustainability Center, King Khalid University, Abha, Saudi Arabia;</aff>
<aff id="aff7"><label>7</label>Biology Department, Collage of Science, Jazan University, Jazan, Kingdom of Saudi Arabia;</aff> 
<aff id="aff8"><label>8</label>Food Hygiene and Control Department, Faculty of Veterinary Medicine, South Valley University, Qena, Egypt;</aff>
<aff id="aff9"><label>9</label>Pharmaceutics Department, College of Pharmacy, King Saud University, Riyadh, Saudi Arabia;</aff>
<aff id="aff10"><label>10</label>Food Hygiene, Safety, and Technology Department, Faculty of Veterinary Medicine, Zagazig University, Zagazig, Egypt;</aff>
<aff id="aff11"><label>11</label>Food Hygiene, Safety and Technology Department, Faculty of Veterinary Medicine, Assiut University, Assiut, Egypt</aff>
</contrib-group>
<author-notes>
<corresp id="cor1"><label>&#x002A;</label><bold>Corresponding Author:</bold> Nady Khairy Elbarbary, Food Hygiene and Control Department, Faculty of Veterinary -Medicine, Aswan University, Aswan 81528, Egypt, E-mail: <email>nadykhairy@vet.aswu.edu.eg</email></corresp>
<fn id="afn01"><p><bold>Academic Editor:</bold> Prof. Mariella Calasso &#x2013; (SIMTREA), University of Bari, Italy</p></fn>
</author-notes>
<pub-date pub-type="epub">
<day>01</day>
<month>07</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="collection"><year>2025</year></pub-date>
<volume>37</volume>
<issue>3</issue>
<fpage>255</fpage>
<lpage>266</lpage>
<history>
<date date-type="received"><day>17</day><month>02</month><year>2025</year></date> 
<date date-type="accepted"><day>02</day><month>04</month><year>2025</year></date> 
</history>
<permissions>
<copyright-statement>&#x00A9; 2025 Codon Publications</copyright-statement>
<copyright-year>2025</copyright-year>
<license license-type="open-access" xlink:href="http://creativecommons.org/licenses/by-nc-sa/4.0/">
<license-p>This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0). License (<ext-link ext-link-type="uri" xlink:href="http://creativecommons.org/licenses/by-nc-sa/4.0/">http://creativecommons.org/licenses/by-nc-sa/4.0/</ext-link>)</license-p>
</license>
</permissions>
<abstract>
<p><italic>Bacillus cereus</italic> is a significant foodborne bacterium that is prevalent in a variety of dietary products. This study aimed to assess the contamination rate, enterotoxin genes, and antibacterial susceptibility of <italic>B. cereus</italic> detected in 20 samples each of minced beef, beef shawarma, beef burger, beef kofta, beef sausage, chicken shawarma, chicken kofta, chicken kabab, and chicken sausage that were acquired from a variety of markets in the Aswan Governorate, Egypt. In addition, the antimicrobial impact of Apple cider vinegar (ACV) on <italic>B. cereus</italic> was investigated. The highest <italic>B. cereus</italic> levels were found in beef kofta samples (2.44&#x00D7;10<sup>3</sup> &#x00B1; 0.16&#x00D7;10<sup>2</sup> CFU/g), followed by beef burger (2.02&#x00D7;10<sup>3</sup> &#x00B1; 0.18&#x00D7;10<sup>2</sup> CFU/g) and beef sausage (1.88&#x00D7;10<sup>3</sup> &#x00B1; 0.12&#x00D7;10<sup>2</sup> CFU/g). On an average, 30% of the samples were contaminated with <italic>B. cereus</italic>. All of the putative isolates showed <italic>B. cereus</italic> DNA according to PCR findings of the <italic>gyrB</italic> gene. Most of the strains (16/54) had the <italic>hblA</italic> gene, which was substantially more abundant than <italic>hblC</italic> (7/54) and <italic>hblD</italic> (5/54). However, <italic>nheA</italic> was detected in 10/54 samples and was substantially more prevalent than <italic>nheB</italic> (5/54) and <italic>nheC</italic> (3/54). Of the strains, 10 out of 54 have <italic>cytK</italic>. By comparison, the <italic>cesB</italic> detection rate was just 6/54, indicating that emetic strains are less frequent in meat products than diarrhea strains. Most strains were resistant to ampicillin, cefoxitin, and colistin (100% each), while they were entirely sensitive to imipenem, nalidixic acid, and vancomycin, rendering them the most significant antibiotics. By the agar well diffusion technique, all concentrations of ACV (10%, 30%, 70%, and 100%) were confirmed to have significant inhibitory activities against <italic>B. cereus</italic>, suggesting that ACV could be employed as a natural antimicrobial preservative in meat products. Nevertheless, more research is necessary to find other traits of <italic>B. cereus</italic> in meat products and the actions of other natural antibacterials.</p>
</abstract>
<kwd-group>
<kwd>Antimicrobial resistance</kwd>
<kwd>Apple cider vinegar</kwd>
<kwd><italic>Bacillus cereus</italic></kwd>
<kwd>natural preservative</kwd>
<kwd>toxigenic genes</kwd>
</kwd-group>
</article-meta>
</front>
<body>
<sec id="S1" sec-type="intro">
<title>Introduction</title>
<p>Food safety is a pertinent issue globally that affects international trade and human health. Foodborne infections pose serious risks to consumer health and place a financial strain on healthcare systems around the world, making them a major global public health concern (<xref ref-type="bibr" rid="ref18">El-Hawary <italic>et al</italic>., 2025</xref>). A wide range of microbial pathogens that contaminate different kinds of meat products are responsible for the millions of foodborne illnesses that are reported each year. Among these pathogens, <italic>Bacillus cereus</italic> has maintained its significance as a result of its association with foodborne outbreaks and the ability to cause serious illness (<xref ref-type="bibr" rid="ref20">Foxcroft <italic>et al</italic>., 2024</xref>). <italic>B. cereus</italic> is a rod-shaped, aerobic, or facultatively anaerobic, gram-positive, motile, spore-forming bacterium that is common in nature and can also be found in food. Vegetative cells of <italic>B. cereus</italic> can live and replicate in a pH range of 5 to 10. They can also develop in a moderately broad variety of temperatures and are highly resistant to salting. Alternatively, spores are exceptionally resilient to a variety of extreme conditions, including chilling, drying, high temperatures, and gamma- and UV-irradiation. This enables <italic>B. cereus</italic> to persist on a variety of surfaces and in the environment (<xref ref-type="bibr" rid="ref50">Tirloni <italic>et al</italic>., 2022</xref>).</p>
<p><italic>B. cereus</italic> is capable of producing a variety of virulence influences and can infiltrate the gastrointestinal mucosa through digestion, resulting in diarrhea and vomiting (<xref ref-type="bibr" rid="ref46">Song <italic>et al</italic>., 2019</xref>). Diarrhea is related to four distinct enterotoxins: hemolysin BL (HBL, encoded by <italic>hblA, hblC</italic>, and <italic>hblD</italic>), cytotoxin K (CytK, encoded by <italic>cytK</italic>), enterotoxin FM (EntFM, encoded by <italic>entFM</italic>), and nonhemolytic enterotoxin (NHE, encoded by <italic>nheA, nheB</italic>, and <italic>nheC</italic>). However, emesis, or vomiting, is related to a tiny, acid- and heat-stable toxin produced by <italic>cesB</italic> genes (<xref ref-type="bibr" rid="ref15">Ehling-Schulz <italic>et al</italic>., 2015</xref>). Other than food-related illness, <italic>B. cereus</italic> is linked to severe sicknesses like pneumonia, endocarditis, osteomyelitis, endophthalmitis, and necrotizing fasciitis (Ikeda <italic>et al.</italic>, 2015).</p>
<p>The public health relevance of <italic>B. cereus</italic> has already been established worldwide, but its specific survival capabilities and possible environmental adaptations may become more significant for food safety authorities and the food industry when considering our changing climate. <italic>B. cereus</italic> presents a substantial public health concern because of the quantity of meat products consumed in Egypt and the nature of their processing. A rise in its abundance in these foods increases the danger of exposure and the propagation of antibiotic-resistant bacteria. The significance of <italic>B. cereus</italic> for public health is highlighted by theories on its environmental and temperature range adaptability (<xref ref-type="bibr" rid="ref20">Foxcroft <italic>et al</italic>., 2024</xref>). Antibiotics are still the best way to treat microbial illness, involving those produced by <italic>B. cereus</italic>. Conversely, the prevalent application of antibacterials has caused the development of antibacterial-resistant strains, linking strains that are resistant to more than one antibiotic (<xref ref-type="bibr" rid="ref23">Friedman <italic>et al</italic>., 2016</xref>). Thus, it is imperative to discover the profile of antibiotic resistance of <italic>B. cereus</italic> to select the appropriate medications for therapy schemes.</p>
<p>Numerous investigations have been carried out to find novel techniques to prolong the duration of protection of meat and its products without using chemical supplements, as there is growing concern about the present developments regarding applying different common substitutes to improve the duration of keeping meat and its products safe and improve its shelf life. This is particularly relevant given the substantial rise in the manufacturing of meat products and their role in supplying the desired flavor and taste (Nady <italic>et al.</italic>, 2024).</p>
<p>Apple cider vinegar (ACV) is an organic by-product of apple fermentation, consisting of apple, sugar, and yeast. It shows antibacterial efficacy against gram-positive microbes. Chemicals in plants, such as organic acids, minerals, flavonoids, vitamins, and polyphenols, work together to fight bacteria and other harmful substances (Mahmoud <italic>et al.</italic>, 2024). The long-term tracking and trending of <italic>B. cereus</italic> in meat products can provide information on any significant changes in their prevalence, including specific food types. Such information could provide an early indication of changing factors in the environment, food chain, and food handling, and potentially impact food safety practices and standards. This research looked into the incidence, enterotoxin genes, and antibacterial resistance patterns of <italic>B. cereus</italic> strains in some meat products in Aswan, Egypt, as well as the effectiveness of ACV as a natural preservative against <italic>B. cereus</italic>.</p>
</sec>
<sec id="S2">
<title>Materials and methods</title>
<sec id="S2_1">
<title><italic>Samples</italic></title>
<p>Between March and May 2023, 180 meat product -samples&#x2014;20 samples each of minced beef, beef shawarma, beef burger, beef kofta, beef sausage, chicken shawarma, chicken kofta, and chicken kabab&#x2014;were -collected from retail markets in the Aswan Governorate, Egypt. Every sample was stored under 4&#x00B0;C after being transferred to the lab from separate sterile bags in an icebox.</p>
</sec>
<sec id="S2_2">
<title><italic>Enumeration, isolation, and identification of B. cereus</italic></title>
<p>Every sample (25 g) was mixed with peptone water 0.1% (225 mL) (Oxoid, CM0009B) to make sequential dilutions and homogenized in a stomacher (Seward&#x00AE;400) (<xref ref-type="bibr" rid="ref32">ISO 21871, 2006</xref>). One milliliter of the initial dilution was then placed on Mannitol Egg Yolk-Polymyxin agar (MYP) (Oxoid, CM09) and incubated for 24 h at 30&#x00B0;C. The colony counter was used to enumerate the lecithinase activity of a typical <italic>B. cereus</italic> colony, which was pink in color and surrounded by a precipitation zone. Then, a single colony was spread on chromogenic <italic>B. cereus</italic> agar plates (Huankai). Based on <xref ref-type="bibr" rid="ref42">Quinn <italic>et al</italic>. (2002)</xref>, various apparent colonies on chromogenic <italic>B. cereus</italic> agar plates were selected and incubated for 24 h at 37&#x00B0;C for additional biochemical characterization (Gram stain, starch hydrolysis, catalase, nitrate reduction, Voges&#x2013;Proskauer, citrate utilization, lysozyme resistance, and anaerobic fermentation of glucose). In addition, the recognition of parasporal protein toxin crystal and rhizoid proliferation were conducted (<xref ref-type="bibr" rid="ref48">Tallent <italic>et al</italic>., 2012</xref>).</p>
</sec>
<sec id="S2_3">
<title><italic>PCR for detection of B. cereus toxins profile</italic></title> 
<p>GeneJET&#x2122; Genomic DNA Purification Kit (Thermo Fisher, K0722) assisted in extracting genomic DNA from the positively identified <italic>B. cereus</italic> culture, and the DNA is preserved at &#x2212;20&#x00B0;C. After using <italic>gyrB</italic> gene primers to identify the <italic>B. cereus</italic> genotype, multiplex PCR was employed to recognize eight virulence factors (<italic>hblA, hblC, hblD, nheA, nheB, nheC, cytK</italic>, and <italic>cesB</italic>). The 25 &#x03BC;L PCR reaction consists of 12.5 &#x03BC;L COSMO PCR RED Master Mix, 1 &#x03BC;L each of reverse and forward primers (20 pmol), 6 &#x03BC;L DNA, and 4.5 &#x03BC;L free nuclease water. The amplification was conducted by the methods previously described (Ehling-Schulz <italic>et al.</italic>, 2005; <xref ref-type="bibr" rid="ref27">Hansen and Hendriksen, 2001</xref>; Tewari <italic>et al.</italic>, 2015). <xref ref-type="table" rid="T1">Table 1</xref> displays the thorough sequence of data used. The PCR product was analyzed by gel electrophoresis in a 1% agarose stained with SYBR SAFE (0.6 g/100 mL) at 100 V for 30 m (<xref ref-type="bibr" rid="ref17">Elbarbary <italic>et al</italic>., 2024</xref>) and captured using a UV LED (BioRad).</p>
<table-wrap id="T1" orientation="portrait" position="float">
<label>Table 1.</label><caption><p>Oligonucleotide primer sequences used for PCR.</p></caption>
<table frame="border" rules="groups">
<thead valign="top">
<tr>
<th align="left">Primer</th>
<th align="left">Primer sequence 5'- 3'</th>
<th align="left">Annealing temp (&#x00B0;C)</th>
<th align="left">Amplicon size (bp)</th>
<th align="left">Reference</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left"><italic>gyrB</italic></td>
<td align="left">F- TCATGAAGAGCC TGTGTACG<break/>R- CGACGTGTCAATTC ACGCGC</td>
<td align="left">63</td>
<td align="left">475</td>
<td align="left"><xref ref-type="bibr" rid="ref49">Tewari <italic>et al</italic>. (2015)</xref></td>
</tr>
<tr>
<td align="left"><italic>HblA</italic></td>
<td align="left">F- GTGCAGATGTTGATGCCGAT<break/>R- ATGCCACTGCGTGGACATAT</td>
<td align="left">55</td>
<td align="left">320</td>
<td align="left" rowspan="7"><break/><break/><break/><break/><break/><xref ref-type="bibr" rid="ref27">Hansen and Hendriksen (2001)</xref></td>
</tr>
<tr>
<td align="left"><italic>HblC</italic></td>
<td align="left">F- AATGGTCATCGGAACTCTAT<break/>R- CTCGCTGTTCTGCTGTTAAT</td>
<td align="left">55</td>
<td align="left">750</td>
</tr>
<tr>
<td align="left"><italic>HblD</italic></td>
<td align="left">F- AATCAAGAGCTGTCACGAAT<break/>R- CACCAATTGACCATGCTAAT</td>
<td align="left">55</td>
<td align="left">430</td>
</tr>
<tr>
<td align="left"><italic>NheA</italic></td>
<td align="left">F- TACGCTAAGGAGGGGCA<break/>R- GTTTTTATTGCTTCATCGGCT</td>
<td align="left">55</td>
<td align="left">500</td>
</tr>
<tr>
<td align="left"><italic>NheB</italic></td>
<td align="left">F- CTATCAGCACTTATGGCAG<break/>R- ACTCCTAGCGGTGTTCC</td>
<td align="left">55</td>
<td align="left">770</td>
</tr>
<tr>
<td align="left"><italic>NheC</italic></td>
<td align="left">F- CGGTAGTGATTGCTGGG<break/>R- CAGCATTCGTACTTGCCAA</td>
<td align="left">55</td>
<td align="left">583</td>
</tr>
<tr>
<td align="left"><italic>cytK</italic></td>
<td align="left">F- AAAATGTTTAGCATTATCCGCTGT<break/>R- ACCAGTTGTATTAATAACGGCAATC</td>
<td align="left">55</td>
<td align="left">238</td>
</tr>
<tr>
<td align="left"><italic>cesB</italic></td>
<td align="left">F- GGTGACACATTATCATATAAGGTG<break/>R- GTAAGCGAACCTGTCTGTAACAACA</td>
<td align="left">53</td>
<td align="left">1271</td>
<td align="left"><xref ref-type="bibr" rid="ref16">Ehling-Schulz <italic>et al</italic>. (2005)</xref></td>
</tr>
</tbody>
</table></table-wrap>
</sec>
<sec id="S2_4">
<title><italic>Examining the antibiotic sensitivity of B. cereus strains</italic></title>
<p>The Kirby&#x2013;Bauer disk diffusion susceptibility technique, as described by <xref ref-type="bibr" rid="ref33">Khairy <italic>et al</italic>. (2024)</xref>, was employed to assess sensitivity to antimicrobials of all <italic>B. cereus</italic> isolates. Picked fresh isolate colonies were placed in 2 mL of sterile saline, combined, and then incubated at 37&#x00B0;C for 24 h. After that, the turbidity of the suspension was set by matching it to the 0.5 McFarland standard solution. On Muller-Hinton agar (MH) (Oxoid, CM0337), an immersed swab (HiMedia, PW009) from an inoculum tube was streaked three times. The antibacterial disks were put and distributed superficially on the MH agar with sterile forceps. After 24 h of incubation at 37&#x00B0;C, the inhibition area was finally assessed. The data were interpreted under Clinical Laboratory Standards Institute (<xref ref-type="bibr" rid="ref14">CLSI 2017</xref>), and the strains were grouped as susceptible (S), intermediate (I), or resistant (R) following <xref ref-type="bibr" rid="ref35">Magiorakos <italic>et al</italic>. (2012)</xref>. Twenty antibiotics (Oxoid, UK) were tested, including ampicillin (AMP, 10 &#x03BC;g), quinupristin (QD, 15 mg), cefoxitin (FOX, 30 mg), cephalothin (kF, 30 &#x03BC;g), ciprofloxacin (CIP, 5 &#x03BC;g), cefotaxime (CTX, 30 &#x00B5;g), imipenem (IPM, 10 &#x03BC;g), vancomycin (VA, 30 &#x03BC;g), trimethoprim-sulfamethoxazole (SXT, 1.25 &#x03BC;g/23.75 &#x03BC;g), chloramphenicol (C, 30 mg), nalidixic acid (NL, 30 &#x03BC;g), clindamycin (DA, 2 &#x03BC;g), doxycycline (DO, 30 &#x03BC;g), erythromycin (E, 15 &#x03BC;g), colistin (CT, 10 &#x03BC;g), tetracycline (TE, 30 mg), gentamicin (CN, 10 mg), nitrofurantoin (FD, 300 mg), rifampicin (RA, 30 &#x03BC;g), and kanamycin (K, 30 mg). The antimicrobial agents that were analyzed are frequently employed in the veterinary and health sectors of Egypt. For each antibiotic and isolate, the multiple antimicrobial resistance (MAR) indices were assessed. A MAR rate of &#x003C; 0.2 shows that the isolates developed from a polluted source with a low risk. On the other hand, isolates with a MAR &#x003E; 0.2 have been from high-risk sources of pollution (<xref ref-type="bibr" rid="ref34">Lozano <italic>et al</italic>., 2020</xref>).</p>
</sec>
<sec id="S2_5">
<title><italic>In vitro assessment of antibacterial action of ACV</italic></title>
<p>The ACV utilized in this investigation was obtained from Bragg Co., USA, via Amazon. eg. It was organic raw ACV, unfiltered, 5% acidic, unpasteurized, unheated, and had the amazing mother of vinegar.</p>
<p>The antibacterial effect of ACV was assessed using the agar well-diffusion technique against <italic>B. cereus</italic> isolates, as earlier reported by <xref ref-type="bibr" rid="ref6">Balouiri <italic>et al</italic>. (2016)</xref>. Using 0.9% sterile saline solution, the suspension turbidity of purified bacterial culture (10<sup>6</sup> CFU/mL) was under 0.5 McFarland. Subsequently, a sterile cotton swab was employed for spreading 100 &#x00B5;L of the sample onto Mueller-Hinton agar (Hi-Media) plates. Using a sterilized cork borer, holes (7 mm) were created in the plates. These were then filled with 100 &#x03BC;L of produced ACV of 10%, 30%, 70%, and 100%, and incubated at 37&#x00B0;C for 24 h. A negative control was recognized by sterile demineralized water, although a positive control was established via antibiotic discs (ampicillin, 10 &#x03BC;g). The inhibitory halo diameter was measured using a gauge (mm). Assessments were taken in triplicate to establish the mean and standard deviations of the inhibition zone, which were determined. The strains were classified as resistant (0) for diameters &#x003C; 8 mm, moderately sensitive (+) for 8&#x2013;20 mm, sensitive (++) for 20&#x2013;30 mm, and very sensitive (+++) for diameters &#x003E;30 mm.</p>
</sec>
<sec id="S2_6">
<title><italic>Minimal inhibitory concentration (MIC) and minimal -bactericidal concentration (MBC) assessments</italic></title>
<p>Following <xref ref-type="bibr" rid="ref13">CLSI (2012)</xref> references, MIC and MBC were assessed via a standard broth microdilution procedure. Fresh Mueller-Hinton broth was employed to produce the bacterial suspensions for the experiment, with the concentration of bacteria adjusted to 10<sup>6</sup> CFU/mL. Twofold serial dilutions of ACV from the standard solution (1,016 &#x03BC;g/mL) were made in sterile distilled water. A volume of each ACV dilution (100 &#x03BC;L) was poured on U-shaped bottom, sterile polystyrene, 96-well culture plates (Techno Plastic Products, Switzerland). Every well got 100 &#x00B5;L of every bacterial suspension, kept at 37&#x00B0;C for 24 h. The MIC was found to be the smallest amount of antibacterial agent that completely stopped visual growth (<xref ref-type="bibr" rid="ref13">CLSI, 2012</xref>). This means that there was no growth in the well that was related to the positive and negative growth wells. The MBC was recognized as the lowest dose that produced no observable growth following the incubation period (<xref ref-type="bibr" rid="ref5">Andrews, 2001</xref>). The MBC was identified by subculturing 10 &#x03BC;L of the suspension from every well on MHA. The plates were subsequently left at 37&#x00B0;C for 24 h, or until growth was detected in the positive growth control. Every test was approved in triplicate, and the mean &#x00B1; standard error of the mean was used to present the findings.</p>
</sec>
<sec id="S2_7">
<title><italic>Statistical analysis</italic></title>
<p>All of the data were examined using GraphPad Prism 9.0 under one-way analysis of variance (ANOVA). Outcomes were presented as mean &#x00B1; SEM with a significance value of <italic>p</italic> &#x003C; 0.05.</p>
</sec>
</sec>
<sec id="S3" sec-type="results">
<title>Results</title>
<sec id="S3_1">
<title><italic>Occurrence of B. cereus</italic></title> 
<p>From <xref ref-type="table" rid="T2">Table 2</xref>, it is evident that the incidence of <italic>B. cereus</italic> counts in the studied samples was the highest in beef kofta samples (2.44&#x00D7;10<sup>3</sup> &#x00B1; 0.16&#x00D7;10<sup>2</sup> CFU/g), followed by beef burger (2.02&#x00D7;10<sup>3</sup> &#x00B1; 0.18&#x00D7;10<sup>2</sup> CFU/g) and beef sausage (1.88&#x00D7;10<sup>3</sup> &#x00B1; 0.12&#x00D7;10<sup>2</sup> CFU/g), with no significant variations between them while there are significant differences observed between other samples. Chicken Kabab (0.17&#x00D7;10<sup>2</sup> &#x00B1; 0.02&#x00D7;10<sup>2</sup> CFU/g) and chicken shawarma reported the lowest count (0.24&#x00D7;10<sup>2</sup> &#x00B1; 0.01&#x00D7;10<sup>2</sup> CFU/g).</p>
<table-wrap id="T2" orientation="portrait" position="float">
<label>Table 2.</label><caption><p>The mean values of <italic>Bacillus cereus</italic> count (CFU/g) in the examined samples (<italic>n</italic> = 20 each).</p></caption>
<table frame="border" rules="groups">
<thead valign="top">
<tr>
<th align="left">Sample</th>
<th align="left">Min</th>
<th align="left">Max</th>
<th align="left">Mean&#x00B1;SE</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">Minced beef</td>
<td align="left">0.36&#x00D7;10</td>
<td align="left">6.42&#x00D7;10<sup>3</sup></td>
<td align="left">0.86&#x00D7;10<sup>2</sup>&#x00B1;0.13&#x00D7;10<sup>2b</sup></td>
</tr>
<tr>
<td align="left">Beef kofta</td>
<td align="left">0.88&#x00D7;10</td>
<td align="left">8.62&#x00D7;10<sup>4</sup></td>
<td align="left">2.44&#x00D7;10<sup>3</sup>&#x00B1;0.16&#x00D7;10<sup>2a</sup></td>
</tr>
<tr>
<td align="left">Beef burger</td>
<td align="left">0.67&#x00D7;10</td>
<td align="left">7.58&#x00D7;10<sup>4</sup></td>
<td align="left">2.02&#x00D7;10<sup>3</sup>&#x00B1;0.18&#x00D7;10<sup>2a</sup></td>
</tr>
<tr>
<td align="left">Beef shawarma</td>
<td align="left">0.074&#x00D7;10</td>
<td align="left">2.76&#x00D7;10<sup>2</sup></td>
<td align="left">0.47&#x00D7;10<sup>2</sup>&#x00B1;0.05&#x00D7;10<sup>2c</sup></td>
</tr>
<tr>
<td align="left">Beef sausage</td>
<td align="left">0.64&#x00D7;10</td>
<td align="left">4.33&#x00D7;10<sup>4</sup></td>
<td align="left">1.88&#x00D7;10<sup>3</sup>&#x00B1;0.12&#x00D7;10<sup>2a</sup></td>
</tr>
<tr>
<td align="left">Chicken shawarma</td>
<td align="left">0.058&#x00D7;10</td>
<td align="left">0.78&#x00D7;10<sup>2</sup></td>
<td align="left">0.17&#x00D7;10<sup>2</sup>&#x00B1;0.01&#x00D7;10<sup>2c</sup></td>
</tr>
<tr>
<td align="left">Chicken kofta</td>
<td align="left">0.48&#x00D7;10</td>
<td align="left">5.63&#x00D7;10<sup>2</sup></td>
<td align="left">1.52&#x00D7;10<sup>2</sup>&#x00B1;0.11&#x00D7;10<sup>2b</sup></td>
</tr>
<tr>
<td align="left">Chicken burger</td>
<td align="left">0.73&#x00D7;10</td>
<td align="left">7.48&#x00D7;10<sup>3</sup></td>
<td align="left">1.72&#x00D7;10<sup>2</sup>&#x00B1;0.16&#x00D7;10<sup>2b</sup></td>
</tr>
<tr>
<td align="left">Chicken Kabab</td>
<td align="left">0.033&#x00D7;10</td>
<td align="left">0.43&#x00D7;10<sup>2</sup></td>
<td align="left">0.24&#x00D7;10<sup>2</sup>&#x00B1;0.02&#x00D7;10<sup>2c</sup></td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="TF2-1"><p>Data followed by different superscript letters (a&#x2013;c) is significant at <italic>p</italic> &#x003C; 0.05.</p></fn></table-wrap-foot>
</table-wrap>
<p>Of the 180 RTE samples evaluated, 54 (30%) samples have <italic>B. cereus</italic>. According to the findings, the incidence of <italic>B. cereus</italic> was 45% in beef kofta and beef burgers; 35% in minced beef, beef sausage, and chicken burgers; 25% in beef shawarma; and 10% in chicken shawarma and chicken kabab (<xref ref-type="fig" rid="F1">Figure 1</xref>). <italic>B. cereus</italic> was recognized on special agar plates by their distinct wavy colony shapes. Standard <italic>B. cereus</italic> colonies appear pink in color and have a surrounding area that shows precipitation, which indicates lecithinase action, and they do not ferment mannitol (this shows a positive Nagler response). Tests showed that <italic>B. cereus</italic> samples had mobility and were able to use citrate, produce Voges-Proskauer, have catalase activity, ferment glucose, and break down gelatin. Similarly, the isolates were negative for oxidase, H<sub>2</sub>S generation, methyl red, and indole. The samples did not have any protein crystals from <italic>Bacillus thuringiensis</italic> after being stained with carbol fuchsin using the Ziehl&#x2013;Neelsen method.</p>
<fig id="F1" orientation="portrait" position="float">
<label>Figure 1.</label>
<caption><p>Prevalence of <italic>Bacillus cereus</italic> in the examined products. Data with different superscript letters (a&#x2013;c) are significant at <italic>p</italic> &#x003C; 0.05.</p></caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="IJFS-37-255-g001.tif"/>
</fig>
</sec>
<sec id="S3_2">
<title><italic>Toxins profile of B. cereus by multiplex PCR</italic></title>
<p>Following phenotypically suspicious isolates of <italic>B. cereus</italic>, PCR analysis&#x2014;relying on the identification of a specific species&#x2014;<italic>gyrB</italic>&#x2014;was then performed. On agarose gel, all isolates generated 475 bp PCR products that were specifically <italic>B. cereus</italic> (<xref ref-type="fig" rid="F2">Figure 2</xref>). The toxins&#x2019; profile established in this research using multiplex PCR and its distribution was assessed and categorized in <xref ref-type="fig" rid="F3">Figure 3</xref>. The virulence genes of <italic>B. cereus</italic> are categorized into two groups based on their pathogenic properties: enterotoxin genes (<italic>hblA, hblC, hblD, nheA, nheB, nheC</italic>, and <italic>cytK</italic>) and cereulide synthetase genes (<italic>cesB</italic>). In hemolysin enterotoxin genes, the <italic>hblA</italic> gene occurs in most of the strains (16/54) and was considerably higher than <italic>hblC</italic> (7/54) and <italic>hblD</italic> (5/54). Nonhemolytic enterotoxin, <italic>nhe</italic>A, was detected in 10/54 and was significantly higher than <italic>nheB</italic> (5/54) and <italic>nheC</italic> (3/54). Cytotoxin K (<italic>cytK</italic>) was detected in 10/54 of the strains. However, only 6 out of 54 samples tested positive for the cereulide synthetase gene (<italic>cesB</italic>), suggesting that emetic bacteria are less abundant in meat products compared to diarrheal ones (<xref ref-type="fig" rid="F3">Figures 3</xref> and <xref ref-type="fig" rid="F4">4</xref>). The incidence of toxigenic factors in the obtained strains showed statistically a notable variation (<italic>p</italic> &#x003C; 0.05).</p>
<fig id="F2" orientation="portrait" position="float">
<label>Figure 2.</label>
<caption><p>Electrophoretic profile of amplification products of the confirmed <italic>gyrB B. cereus</italic> gene at 475 bp. Lanes 1&#x2013;7: minced beef, lanes 8&#x2013;16: beef kofta, lanes 17&#x2013;25: beef burger, lanes 26&#x2013;30: beef shawarma, lanes 31&#x2013;37: beef sausage, lanes 38&#x2013;39: chicken shawarma, lanes 40&#x2013;45: chicken kofta, lanes 46&#x2013;52: chicken burger, and lanes 53&#x2013;54: chicken Kabab. M: marker (50 bp), C+: positive control, C&#x2013;: negative control.</p></caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="IJFS-37-255-g002.tif"/>
</fig>
<fig id="F3" orientation="portrait" position="float">
<label>Figure 3.</label>
<caption><p>Prevalence of virulence enterotoxin and emetic genes of <italic>Bacillus cereus</italic> isolates. There is a significant variance at <italic>p</italic> &#x003C; 0.0001.</p></caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="IJFS-37-255-g003.tif"/>
</fig>
<fig id="F4" orientation="portrait" position="float">
<label>Figure 4.</label>
<caption><p>Electrophoretic profile of amplification products of enterotoxin and emetic genes in <italic>Bacillus cereus: hblA</italic> at 320 bp, <italic>hblC</italic> at 750bp, <italic>hblD</italic> at 430bp, <italic>nheA</italic> at 500 bp, <italic>nheB</italic> at 770 bp, <italic>nheC</italic> at 583bp, <italic>cytK</italic> at 238bp, and <italic>cesB</italic> at 1271bp. Lanes 1&#x2013;7: minced beef, lanes 8&#x2013;16: beef kofta, lanes 17&#x2013;25: beef burger, lanes 26&#x2013;30: beef shawarma, lanes 31&#x2013;37: beef sausage, lanes 38&#x2013;39: chicken shawarma, lanes 40&#x2013;45: chicken kofta, lanes 46&#x2013;52: chicken burger, and lanes 53&#x2013;54: chicken Kabab. M: marker (50 bp), C+: positive control, C&#x2013;: negative control.</p></caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="IJFS-37-255-g004.tif"/>
</fig>
</sec>
<sec id="S3_3">
<title><italic>Antibiogram profile of B. cereus</italic></title>
<p>Every <italic>B. cereus</italic> isolate underwent testing for antibacterial sensitivity to 20 chosen antibiotics. <xref ref-type="table" rid="T3">Tables 3</xref> and <xref ref-type="table" rid="T4">4</xref> displayed that most of the isolates were resistant to ampicillin, cefoxitin, and colistin (100% each), while being completely susceptible to imipenem, nalidixic acid, and vancomycin, making them the most significant antibiotics. The <italic>B. cereus</italic> strain showed multidrug resistance (resistance to at least three types of antibiotics) between 0.15 and 0.85, with an average of 0.517. The investigated <italic>B. cereus</italic> strains showed statistically a notable variation in their sensitivity to different antibacterials (<italic>p</italic> &#x003C; 0.05).</p>
<table-wrap id="T3" orientation="portrait" position="float">
<label>Table 3.</label><caption><p>The interpretation of antimicrobial resistance of <italic>Bacillus cereus</italic> isolates (<italic>n</italic> = 54).</p></caption>
<table frame="border" rules="groups">
<thead valign="top">
<tr>
<th align="left" rowspan="2">Antimicrobial agents</th>
<th align="left" colspan="2">Sensitive</th>
<th align="left" colspan="2">Intermediate</th>
<th align="left" colspan="2">Resistance</th>
</tr>
<tr>
<th align="left">No.</th>
<th align="left">%</th>
<th align="left">No.</th>
<th align="left">%</th>
<th align="left">No.</th>
<th align="left">%</th>
</tr></thead>
<tbody valign="top">
<tr>
<td align="left">AMP</td>
<td align="left">0</td>
<td align="left">0</td>
<td align="left">0</td>
<td align="left">0</td>
<td align="left">54</td>
<td align="left">100</td>
</tr>
<tr>
<td align="left">kF</td>
<td align="left">7</td>
<td align="left">13</td>
<td align="left">0</td>
<td align="left">0</td>
<td align="left">47</td>
<td align="left">87</td>
</tr>
<tr>
<td align="left">QD</td>
<td align="left">29</td>
<td align="left">53.7</td>
<td align="left">5</td>
<td align="left">9.3</td>
<td align="left">24</td>
<td align="left">44.4</td>
</tr>
<tr>
<td align="left">FOX</td>
<td align="left">0</td>
<td align="left">0</td>
<td align="left">0</td>
<td align="left">0</td>
<td align="left">54</td>
<td align="left">100</td>
</tr>
<tr>
<td align="left">CTX</td>
<td align="left">11</td>
<td align="left">20.4</td>
<td align="left">4</td>
<td align="left">7.4</td>
<td align="left">39</td>
<td align="left">72.2</td>
</tr>
<tr>
<td align="left">IPM</td>
<td align="left">54</td>
<td align="left">100</td>
<td align="left">0</td>
<td align="left">0</td>
<td align="left">0</td>
<td align="left">0</td>
</tr>
<tr>
<td align="left">NL</td>
<td align="left">54</td>
<td align="left">100</td>
<td align="left">0</td>
<td align="left">0</td>
<td align="left">0</td>
<td align="left">0</td>
</tr>
<tr>
<td align="left">CIP</td>
<td align="left">23</td>
<td align="left">42.6</td>
<td align="left">6</td>
<td align="left">11.1</td>
<td align="left">25</td>
<td align="left">46.3</td>
</tr>
<tr>
<td align="left">SXT</td>
<td align="left">7</td>
<td align="left">13</td>
<td align="left">7</td>
<td align="left">13</td>
<td align="left">40</td>
<td align="left">74.1</td>
</tr>
<tr>
<td align="left">DO</td>
<td align="left">17</td>
<td align="left">31.5</td>
<td align="left">9</td>
<td align="left">16.7</td>
<td align="left">28</td>
<td align="left">51.8</td>
</tr>
<tr>
<td align="left">E</td>
<td align="left">12</td>
<td align="left">22.2</td>
<td align="left">5</td>
<td align="left">9.3</td>
<td align="left">37</td>
<td align="left">68.5</td>
</tr>
<tr>
<td align="left">DA</td>
<td align="left">41</td>
<td align="left">76</td>
<td align="left">0</td>
<td align="left">0</td>
<td align="left">13</td>
<td align="left">24</td>
</tr>
<tr>
<td align="left">VA</td>
<td align="left">54</td>
<td align="left">100</td>
<td align="left">0</td>
<td align="left">0</td>
<td align="left">0</td>
<td align="left">0</td>
</tr>
<tr>
<td align="left">CT</td>
<td align="left">0</td>
<td align="left">0</td>
<td align="left">0</td>
<td align="left">0</td>
<td align="left">45</td>
<td align="left">100</td>
</tr>
<tr>
<td align="left">TE</td>
<td align="left">27</td>
<td align="left">50</td>
<td align="left">5</td>
<td align="left">9.3</td>
<td align="left">23</td>
<td align="left">42.6</td>
</tr>
<tr>
<td align="left">C</td>
<td align="left">30</td>
<td align="left">55.6</td>
<td align="left">3</td>
<td align="left">5.6</td>
<td align="left">21</td>
<td align="left">38.8</td>
</tr>
<tr>
<td align="left">FD</td>
<td align="left">31</td>
<td align="left">57.4</td>
<td align="left">7</td>
<td align="left">13</td>
<td align="left">16</td>
<td align="left">29.6</td>
</tr>
<tr>
<td align="left">RA</td>
<td align="left">28</td>
<td align="left">51.8</td>
<td align="left">0</td>
<td align="left">0</td>
<td align="left">26</td>
<td align="left">48.1</td>
</tr>
<tr>
<td align="left">GN</td>
<td align="left">36</td>
<td align="left">66.7</td>
<td align="left">11</td>
<td align="left">20.4</td>
<td align="left">7</td>
<td align="left">13</td>
</tr>
<tr>
<td align="left">K</td>
<td align="left">42</td>
<td align="left">77.8</td>
<td align="left">0</td>
<td align="left">0</td>
<td align="left">12</td>
<td align="left">7.6</td>
</tr>
<tr>
<td align="left"><italic>p</italic> value</td>
<td align="left" colspan="2"><italic>p</italic> &#x003C; 0.0014</td>
<td align="left" colspan="2"><italic>p</italic> &#x003C; 0.0001</td>
<td align="left" colspan="2"><italic>p</italic> &#x003C; 0.0001</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="TF3-1"><p>AMP: ampicillin, kF: cephalothin, QD: quinupristin, FOX: cefoxitin, CTX: cefotaxime, IPM: imipenem, NL: nalidixic acid, CIP: ciprofloxacin, SXT: trimethoprim-sulfamethoxazole, DO: doxycycline, E: erythromycin, DA: clindamycin, VA: vancomycin, CT: colistin, TE: tetracycline, C: chloramphenicol, FD: nitrofurantoin, RA: rifampicin, GN: gentamicin, and K: kanamycin.</p></fn></table-wrap-foot>
</table-wrap>
<table-wrap id="T4" orientation="portrait" position="float">
<label>Table 4.</label><caption><p>Antibiogram profile of <italic>Bacillus cereus</italic> isolates (<italic>n</italic> = 54).</p></caption> 
<table frame="border" rules="groups">
<thead valign="top">
<tr>
<th align="left">Isolates No.</th>
<th align="left">Antimicrobial resistance profile</th>
<th align="left">No. of antibiotics</th>
<th align="left">MAR index</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">16</td>
<td align="left">AMP, FOX, CT, kF, CTX, QD, CIP, SXT, DO, E, DA, C, TE, FD, RA, GN, K</td>
<td align="left">17</td>
<td align="left">0.85</td>
</tr>
<tr>
<td align="left">13</td>
<td align="left">AMP, FOX, CT, CTX, QD, E, CIP, DA, C, TE, FD, RA, GN, K</td>
<td align="left">14</td>
<td align="left">0.70</td>
</tr>
<tr>
<td align="left">11</td>
<td align="left">AMP, FOX, CT, CTX, kF, CIP, SXT, DO, E, DA, RA, K</td>
<td align="left">12</td>
<td align="left">0.60</td>
</tr>
<tr>
<td align="left">8</td>
<td align="left">AMP, FOX, CT, CTX, CIP, FD, RA, GN, K</td>
<td align="left">9</td>
<td align="left">0.45</td>
</tr>
<tr>
<td align="left">4</td>
<td align="left">AMP, FOX, CT, SXT, DO, TE, FD</td>
<td align="left">7</td>
<td align="left">0.35</td>
</tr>
<tr>
<td align="left">2</td>
<td align="left">AMP, FOX, CT,</td>
<td align="left">3</td>
<td align="left">0.15</td>
</tr>
<tr>
<td align="left">54</td>
<td align="left">MAR average</td>
<td align="left"></td>
<td align="left">0.517</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="TF4-1"><p>MAR: multiple antibiotic resistant, AMP: ampicillin, kF: cephalothin, QD: quinupristin, FOX: cefoxitin, CTX: cefotaxime, IPM: imipenem, NL: nalidixic acid, CIP: ciprofloxacin, SXT: trimethoprim-sulfamethoxazole, DO: doxycycline, E: erythromycin, DA: clindamycin, VA: vancomycin, CT: colistin, TE: tetracycline, C: chloramphenicol, FD: nitrofurantoin, RA: rifampicin, GN: gentamicin, and K: kanamycin.</p></fn></table-wrap-foot>
</table-wrap>
</sec>
<sec id="S3_4">
<title><italic>Antimicrobial action of ACV against B. cereus</italic></title>
<p>By the agar well diffusion experiment, all ACV doses (10%, 30%, 70%, and 100%) confirmed substantial inhibitory influence against <italic>B. cereus</italic> isolates, as shown in <xref ref-type="table" rid="T5">Table 5</xref>. More research was done on the inhibition zone ranges (mm) of the several antibiotics employed in the current investigation at their concentrations. The inhibitory zone diameter was between 11.5&#x00B1;0.6 and 16.4&#x00B1;0.3 mm (10% ACV), 13.6&#x00B1;0.4 and 19.4&#x00B1;0.8 mm (30% ACV), 17.2&#x00B1;0.2 and 24.7&#x00B1;0.5 mm (70% ACV), and 19.8&#x00B1;0.6 and 31.6&#x00B1;0.8 mm (100% ACV). Using 15 <italic>B. cereus</italic> isolates, MIC and MBC were inevitably carried out to ascertain exactly the antibacterial qualities of ACV. The MIC data revealed that ACV had high antibacterial action contrary to the tested isolates, with MICs ranging from 0.14 to 1.25 mg/mL. In the context of the AVC as a bacteriocidal agent, certain isolates that were investigated exhibited an MBC rate similar to the MIC rate.</p>
<table-wrap id="T5" orientation="portrait" position="float">
<label>Table 5.</label><caption><p>Inhibitory zone diameters, MIC, and MBC of ACV against <italic>Bacillus cereus</italic> isolates (<italic>n</italic> = 15).</p></caption>
<table frame="border" rules="groups">
<thead valign="top">
<tr>
<th align="left" rowspan="2">Isolate no.</th>
<th colspan="4" align="center">Zone diameter (mm) against various ACV concentrations (%)</th>
<th align="left" rowspan="2">MIC (mg/mL)</th>
<th align="left" rowspan="2">MBC (mg/mL)</th>
</tr>
<tr>
<th align="left">10</th>
<th align="left">30</th>
<th align="left">70</th>
<th align="left">100</th>
</tr></thead>
<tbody valign="top">
<tr>
<td align="left">1</td>
<td align="left">14.3&#x00B1;0.7</td>
<td align="left">16.4&#x00B1;0.2</td>
<td align="left">19.5&#x00B1;0.2</td>
<td align="left">22.7&#x00B1;0.1</td>
<td align="left">0.14</td>
<td align="left">0.28</td>
</tr>
<tr>
<td align="left">2</td>
<td align="left">12.5&#x00B1;0.3</td>
<td align="left">13.6&#x00B1;0.4</td>
<td align="left">17.2&#x00B1;0.2</td>
<td align="left">20.4&#x00B1;0.2</td>
<td align="left">0.16</td>
<td align="left">0.32</td>
</tr>
<tr>
<td align="left">3</td>
<td align="left">15.2&#x00B1;0.6</td>
<td align="left">18.2&#x00B1;0.6</td>
<td align="left">21.7&#x00B1;0.2</td>
<td align="left">26.5&#x00B1;0.6</td>
<td align="left">0.16</td>
<td align="left">0.32</td>
</tr>
<tr>
<td align="left">4</td>
<td align="left">14.8&#x00B1;0.3</td>
<td align="left">18.2&#x00B1;0.5</td>
<td align="left">22.6&#x00B1;0.3</td>
<td align="left">28.4&#x00B1;0.2</td>
<td align="left">0.14</td>
<td align="left">0.14</td>
</tr>
<tr>
<td align="left">5</td>
<td align="left">11.5&#x00B1;0.6</td>
<td align="left">14.3&#x00B1;0.5</td>
<td align="left">18.5&#x00B1;0.3</td>
<td align="left">21.7&#x00B1;0.3</td>
<td align="left">0.16</td>
<td align="left">0.64</td>
</tr>
<tr>
<td align="left">6</td>
<td align="left">12.7&#x00B1;0.3</td>
<td align="left">14.9&#x00B1;0.3</td>
<td align="left">20.0 &#x00B1;0.4</td>
<td align="left">24.3&#x00B1;0.6</td>
<td align="left">0.14</td>
<td align="left">0.28</td>
</tr>
<tr>
<td align="left">7</td>
<td align="left">16.2&#x00B1;0.7</td>
<td align="left">19.4&#x00B1;0.8</td>
<td align="left">24.7&#x00B1;0.5</td>
<td align="left">31.2&#x00B1;0.8</td>
<td align="left">1.25</td>
<td align="left">2.5</td>
</tr>
<tr>
<td align="left">8</td>
<td align="left">12.9&#x00B1;0.3</td>
<td align="left">15.5&#x00B1;0.6</td>
<td align="left">19.5&#x00B1;0.4</td>
<td align="left">25.7&#x00B1;0.3</td>
<td align="left">0.14</td>
<td align="left">0.28</td>
</tr>
<tr>
<td align="left">9</td>
<td align="left">15.4&#x00B1;0.8</td>
<td align="left">19.2&#x00B1;0.3</td>
<td align="left">24.3&#x00B1;0.7</td>
<td align="left">30.5&#x00B1;0.7</td>
<td align="left">0.14</td>
<td align="left">0.56</td>
</tr>
<tr>
<td align="left">10</td>
<td align="left">15.8&#x00B1;0.3</td>
<td align="left">16.7&#x00B1;0.3</td>
<td align="left">18.5&#x00B1;0.3</td>
<td align="left">19.8&#x00B1;0.6</td>
<td align="left">0.16</td>
<td align="left">0.64</td>
</tr>
<tr>
<td align="left">11</td>
<td align="left">13.7&#x00B1;0.4</td>
<td align="left">17.4&#x00B1;0.6</td>
<td align="left">18.7&#x00B1;0.4</td>
<td align="left">21.5&#x00B1;0.4</td>
<td align="left">0.14</td>
<td align="left">0.14</td>
</tr>
<tr>
<td align="left">12</td>
<td align="left">16.4&#x00B1;0.3</td>
<td align="left">18.6&#x00B1;0.4</td>
<td align="left">22.5&#x00B1;0.2</td>
<td align="left">29.7&#x00B1;0.3</td>
<td align="left">0.14</td>
<td align="left">0.28</td>
</tr>
<tr>
<td align="left">13</td>
<td align="left">14.4&#x00B1;0.2</td>
<td align="left">17.8&#x00B1;0.3</td>
<td align="left">23.3&#x00B1;0.7</td>
<td align="left">31.6&#x00B1;0.8</td>
<td align="left">0.56</td>
<td align="left">0.56</td>
</tr>
<tr>
<td align="left">14</td>
<td align="left">15.2&#x00B1;0.6</td>
<td align="left">19.2&#x00B1;0.7</td>
<td align="left">23.5&#x00B1;0.4</td>
<td align="left">31.4&#x00B1;0.7</td>
<td align="left">0.16</td>
<td align="left">0.64</td>
</tr>
<tr>
<td align="left">15</td>
<td align="left">12.8&#x00B1;0.5</td>
<td align="left">16.6&#x00B1;0.3</td>
<td align="left">20.4&#x00B1;0.3</td>
<td align="left">28.5&#x00B1;0.8</td>
<td align="left">1.25</td>
<td align="left">2.5</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="TF5-1"><p>ACV: Apple cider vinegar, MIC: Minimal inhibitory concentration, MBC: minimal bactericidal concentration.</p></fn></table-wrap-foot>
</table-wrap>
</sec>
</sec>
<sec id="S4" sec-type="discussion">
<title>Discussion</title>
<p><italic>B. cereus</italic> is one of the most prevalent foodborne bacteria, causing serious food poisoning. The condition is primarily characterized by vomiting, diarrhea, liver failure, necrotic enteritis, and abdominal discomfort. Furthermore, <italic>B. cereus</italic> is commonly described to be the most common bacteria present in a variety of meat products. It is considered a public health concern (Algammal <italic>et al.</italic>, 2024) following ingestion of a contaminated meal that has more than 10<sup>4</sup>&#x2013;10<sup>5</sup> <italic>B. cereus</italic> spores or vegetative cells/g (<xref ref-type="bibr" rid="ref25">Gao <italic>et al</italic>., 2018</xref>). The study found that there was a potential danger of <italic>B. cereus</italic>, with counts ranging from 0.17&#x00D7;10<sup>2</sup> &#x00B1; 0.02&#x00D7;10<sup>2</sup> in chicken kabab to 2.44&#x00D7;10<sup>2</sup> &#x00B1; 0.16&#x00D7;10<sup>2</sup> in beef kofta. Alarmingly, <italic>B. cereus</italic> counts in certain of the investigated samples (beef kofta, beef burger, and beef sausage) surpassed the allowed limits (&#x003C;10<sup>3</sup> CFU/g) indicated by the <xref ref-type="bibr" rid="ref29">Health Protection Agency (2009)</xref> in England. Furthermore, <xref ref-type="bibr" rid="ref47">Stenfors <italic>et al</italic>. (2008)</xref> verified that low <italic>B. cereus</italic> levels in food could cause major occurrences of food poisoning among consumers. In addition, the product is not appropriate for human consumption if the count of <italic>B. cereus</italic> exceeds 10<sup>4</sup> CFU/g or mL (<xref ref-type="bibr" rid="ref21">FSANZ, 2001</xref>). In Hong Kong, ready-to-eat foods are sorted into three groups based on the amount of <italic>B. cereus</italic> they contain: satisfactory (&#x003C;10<sup>3</sup> CFU/g), acceptable (10<sup>3</sup>&#x2013;10<sup>5</sup> CFU/g), and unsatisfactory (&#x003E;10<sup>5</sup> CFU/g). It is illegal to sell &#x201C;unsatisfactory&#x201D; ready-to-eat foods (<xref ref-type="bibr" rid="ref12">Centre for Food Safety, 2014</xref>). Therefore, regulations, directives, and decisions represent the main regulatory acts applicable to veterinary, sanitary, and food safety for the protection of consumers. All regulations are centered on the protection of the agro-alimentary line, food safety, and the protection of consumer interests. This is one of the main reasons why the involvement of civil society and consumers in debating and passing veterinary, sanitary, and food safety legislation, particularly food-related legislation, is increasingly obvious (<xref ref-type="bibr" rid="ref10">Bondoc, 2016a</xref>, <xref ref-type="bibr" rid="ref11">b</xref>).</p>
<p>Consequently, it is imperative to maintain appropriate temperature control, even throughout food preparation. Cold foodstuffs must be preserved at a temperature below 4&#x00B0;C, while hot foods must be preserved at a temperature above 60&#x00B0;C to prevent food with <italic>B. cereus</italic> (Mostafa <italic>et al.</italic>, 2022). All of the isolates (30%) that were obtained for this study showed the distinctive phenotypic characteristics of <italic>B. cereus</italic> and showed agreement in their biochemical reactions. The higher occurrence of beef kofta and beef burgers compared to chicken kabab and chicken shawarma may be related to the preparation methods used for each type of meat and the inclusion of intestinal parts. In addition, adding spices and vegetables to meat may enhance the risk of <italic>B. cereus</italic> contamination and serve as another cause of contamination (<xref ref-type="bibr" rid="ref44">Shawish and Al-Humam, 2016</xref>). Our findings matched those informed by <xref ref-type="bibr" rid="ref7">Bashir <italic>et al</italic>. (2017)</xref>, <xref ref-type="bibr" rid="ref49">Tewari <italic>et al</italic>. (2015)</xref>, and <xref ref-type="bibr" rid="ref53">Yu <italic>et al</italic>. (2020)</xref>, with respective percentages of 29.3%, 30.9%, and 35%. Higher ratios of <italic>B. cereus</italic> from meat products were noted by <xref ref-type="bibr" rid="ref1">Abd El Tawab <italic>et al</italic>. (2015)</xref>, <xref ref-type="bibr" rid="ref30">Hwang and Park (2015)</xref>, and <xref ref-type="bibr" rid="ref39">Owusu-Kwarteng <italic>et al</italic>. (2017)</xref>, who reported 38.3%, 47%, and 50.5%, respectively. Low percentages were recorded by <xref ref-type="bibr" rid="ref2">Algammal <italic>et al</italic>. (2024)</xref>, <xref ref-type="bibr" rid="ref4">Amin and Tawfick (2021)</xref>, <xref ref-type="bibr" rid="ref36">Mahmoud <italic>et al</italic>. (2024)</xref>, and <xref ref-type="bibr" rid="ref37">Mostafa <italic>et al</italic>. (2022)</xref>, who found <italic>B. cereus</italic> in 21%, 24%, 22.7%, and 11.1%, respectively, of the examined samples. In addition, common risk factors that contribute to the spread of <italic>B. cereus</italic> foodborne poisoning include ambient pollution, improper food temperature processing, and improper cleaning of food production equipment and preparation surfaces (Yu <italic>et al.</italic>, 2020).</p>
<p><italic>B. cereus</italic> has been linked to meat additives such as rice and flour that are used in the production of meat products (<xref ref-type="bibr" rid="ref26">Giffel <italic>et al</italic>., 1996</xref>). Meat products were most likely contaminated during handling and preparation or after they had been processed. Furthermore, leaving the items out of the refrigerator for many hours promotes <italic>B. cereus</italic> proliferation and thus enterotoxin release (<xref ref-type="bibr" rid="ref45">Shawish and Tarabees, 2017</xref>). Moreover, incorrect management of meat products next to cooking permits <italic>B. cereus</italic> spores to produce vegetative cells that grow and cause food poisoning (<xref ref-type="bibr" rid="ref28">Hassan <italic>et al</italic>., 2019</xref>). Furthermore, additives, seasonings, and spices are added, which are regarded as a potential hazard since they increase the quantity of <italic>Bacillus</italic> spores and thus increase the chance of food illness (<xref ref-type="bibr" rid="ref45">Shawish and Tarabees, 2017</xref>).</p>
<p>Molecular approaches are more precise for making conclusive identifications. As shown in <xref ref-type="fig" rid="F2">Figures 2</xref> and <xref ref-type="fig" rid="F3">3</xref>, the housekeeping gene <italic>gyrB</italic> of <italic>B. cereus</italic>, a molecular diagnostic marker, was positive in all detected phenotypic isolates of <italic>B. cereus</italic>. The public health significance of <italic>B. cereus</italic> strains as a reason for severe food illness in humans is highlighted by the fact that all of the strains obtained in this research inherited one or more enterotoxigenic genes. This matches the findings of <xref ref-type="bibr" rid="ref2">Algammal <italic>et al</italic>. (2024)</xref>, <xref ref-type="bibr" rid="ref4">Amin and Tawfick, (2021)</xref>, <xref ref-type="bibr" rid="ref22">Fraccalvieri <italic>et al</italic>. (2022)</xref>, <xref ref-type="bibr" rid="ref36">Mahmoud <italic>et al</italic>. (2024)</xref>, <xref ref-type="bibr" rid="ref39">Owusu-Kwarteng <italic>et al</italic>. (2017)</xref>, and <xref ref-type="bibr" rid="ref49">Tewari <italic>et al</italic>. (2015)</xref>. The pathogenicity is primarily supported by numerous virulence factors and toxins expressed by the appropriate genes. The consumption of <italic>B. cereus</italic>-polluted food causes illness. <italic>B. cereus</italic> cells adhere to the human intestinal mucosa, colonize, and produce enterotoxins (Algammal <italic>et al.</italic>, 2024). The primary virulence determinants associated with food poisoning produced by <italic>B. cereus</italic> are the nheABC, <italic>hblABCD, cytK</italic>, and <italic>cesB</italic> genes (<xref ref-type="bibr" rid="ref8">Berthold-Pluta <italic>et al</italic>., 2019</xref>). Many foodborne <italic>B. cereus</italic> outbreaks have been identified globally, and the sickness manifests in emetic and diarrheal forms. Cytotoxin K, a powerful heat-labile enterotoxin, is regarded as the primary virulence factor implicated in severe diarrhea, while emetic sickness is credited primarily to the cereulide toxin (<xref ref-type="bibr" rid="ref19">ECDC, 2019</xref>). Furthermore, <italic>B. cereus</italic> has been linked to serious human diseases such as pneumonia, neonatal bacteremia, gas gangrene, bacterial meningitis, and ocular infections (Algammal <italic>et al.</italic>, 2024).</p>
<p>Antibiotic therapy is the principal management for <italic>B. cereus</italic> infection. However, the failure of antibacterial treatment occurs from the development of antibacterial-resistant <italic>B. cereus</italic> strains, mostly from drug misuse or the gaining of resistance genes by horizontal gene transfer (<xref ref-type="bibr" rid="ref25">Gao <italic>et al</italic>., 2018</xref>). Thus, the detection of the antibacterial resistance outline of <italic>B. cereus</italic> is of paramount importance to public well-being. In this investigation, imipenem, nalidixic acid, and vancomycin showed significant antibacterial activity against <italic>B. cereus</italic> strains from the various items tested. Furthermore, the retrieved strains were the consequence of high-risk contamination, as shown by the concerning MAR value of 0.517 (&#x003E;0.2) (<xref ref-type="bibr" rid="ref41">Qenawy <italic>et al</italic>., 2024</xref>). These outcomes coincide with those validated by <xref ref-type="bibr" rid="ref2">Algammal <italic>et al</italic>. (2024)</xref> and <xref ref-type="bibr" rid="ref31">Ikeda <italic>et al</italic>. (2015)</xref>, who found that every acquired <italic>B. cereus</italic> strain was quite sensitive to vancomycin. In addition, the <italic>B. cereus</italic> isolates that were obtained were entirely resistant to ampicillin, cefoxitin, and colistin, and they exhibited exceptional resistance to almost all of the antibiotics that underwent testing, involving erythromycin, trimethoprim-sulfamethoxazole, doxycycline, and cefotaxime. Our results complement those emphasized by <xref ref-type="bibr" rid="ref36">Mahmoud <italic>et al</italic>. (2024)</xref>, <xref ref-type="bibr" rid="ref43">Savi&#x0107; <italic>et al</italic>. (2016)</xref>, and <xref ref-type="bibr" rid="ref53">Yu <italic>et al</italic>. (2020)</xref>. According to these findings, multidrug-resistant (MDR) <italic>B. cereus</italic> has been occurring in a diversity of meat products, indicating that it may be a major way for human consumers to contract foodborne MDR <italic>B. cereus</italic> (<xref ref-type="bibr" rid="ref9">Bhunia, 2018</xref>). According to <xref ref-type="bibr" rid="ref2">Algammal <italic>et al</italic>. (2024)</xref>, the careless application of antibiotics in the medical and agricultural fields and the general public, as well as the ability to obtain medicines without a prescription and use them recklessly, promotes the emergence of MDR strains.</p>
<p>Various food preservation methods, particularly chemical antimicrobial agents, have long been applied industrially to stop the growth of bacteria in food products (<xref ref-type="bibr" rid="ref51">Tropea, 2022</xref>), thereby improving the safety and extending the shelf life of the products. The scientific community and food companies have been motivated to look for efficient substitutes for the chemical antibacterial agents frequently employed in food preservation in recent years because of the growing understanding of the impact of diet on human well-being. Consumers are indeed skeptical of the use of these compounds, despite their stringent regulation, as a result of their potential long-term health risks (<xref ref-type="bibr" rid="ref40">Primavilla <italic>et al</italic>., 2023</xref>). ACV is a fermented product that is categorized as a functional food because of its constituents and nutrients, including vitamins and minerals, as well as its ability to improve its production characteristics and have an inhibitory impact on a variety of bacteria by stopping the movement of nutrients via their cell membrane (Nady <italic>et al.</italic>, 2024). The finding of this research displayed that ACV showed significant inhibitory effects against <italic>B. cereus</italic> at varying concentrations, as evidenced by the inhibition zone diameter determined by the agar well diffusion test. The zone diameter was between 11.5&#x00B1;0.6 and 16.4&#x00B1;0.3 mm (10% ACV), 13.6&#x00B1;0.4 and 19.4&#x00B1;0.8 mm (30% ACV), 17.2&#x00B1;0.2 and 24.7&#x00B1;0.5 mm (70% ACV), and 19.8&#x00B1;0.6 and 31.6&#x00B1;0.8 mm (100% ACV). Herein, with MIC ranging from 0.14 to 1.25 mg/mL, the MIC data revealed that ACV showed high antibacterial activity against the investigated isolates. Considering the ACV to be a bacteriocidal agent, some of the isolates under examination displayed MBC values at the same MIC value. These results matched those of earlier investigations by <xref ref-type="bibr" rid="ref24">Gaber <italic>et al</italic>. (2020)</xref>, <xref ref-type="bibr" rid="ref36">Mahmoud <italic>et al</italic>. (2024)</xref>, and <xref ref-type="bibr" rid="ref52">Yagnik <italic>et al</italic>. (2021)</xref>. The present findings are indicative of the efficacy of ACV as a natural preservative, as it holds a variety of active components, including antibacterial antagonists, as well as organic acids like malic acid, acetic acid, and phenolic mixtures like cresols, phenol, and ketone constituents (<xref ref-type="bibr" rid="ref38">Nady <italic>et al</italic>., 2024</xref>). Organic acids work to stop bacteria from growing in several ways, such as by destroying the bacteria&#x2019;s outer membrane, consuming the energy of the microbes, and increasing osmotic pressure, which breaks down the cell membrane and encourages the manufacture of antibacterial peptides in the host cells. This force the host cells to discharge many vital nutrients, like glutamic and acid ions, to equilibrate the osmotic pressure inside the cells, which stops bacteria from growing normally (<xref ref-type="bibr" rid="ref3">Al-Hadidy <italic>et al</italic>., 2023</xref>). Minimizing the application of extra ingredients in organic manufacturing is often a substantial technological challenge, but it is being promoted by the usage of ACV in organic meat handling.</p>
</sec>
<sec id="S5" sec-type="conclusions">
<title>Conclusion</title>
<p>According to this investigation, the presence of MDR <italic>B. cereus</italic> that harbored one or more enterotoxin genes in meat products poses a significant threat to public health. As a result, stricter sanitation regulations must be implemented at all production, handling, and storage stages. Furthermore, employing ACV as a natural antibacterial agent may be a useful way to reduce the risk of <italic>B. cereus</italic> illness and its occurrence in the food sector, whether in public places or at home, suggesting that it could be a useful natural substitute for traditional preservatives. Future research must assess potential uses in food production for a sustainable strategy to safeguard the health of customers. Testing these substances against bacteria resistant to several drugs is crucial for developing several approaches to handle the rising issue of drug resistance. Furthermore, ACV derivatives can be used as preservatives in several industries, including healthcare (e.g., cosmetics and medications).</p></sec>
</body>
<back>
<sec id="S6">
<title>Ethics statement</title> 
<p>The Scientific Research Ethics Committee, Aswan University, Faculty of Veterinary Medicine (Approval No.: 15-02-2023) approved all the tests and procedures.</p>
</sec>
<ack>
<title>Acknowledgement</title>
<p>The authors gratefully acknowledge Princess Nourah bint Abdulrahman University Researchers Supporting Project number (PNURSP2025R457), Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia. The authors extend their appreciation to the deanship of Scientific Research at King Khalid University for supporting this work under the large group grant (No. R.G.P. 2/8/45).</p></ack>
<sec id="S7">
<title>Data availability statement</title> 
<p>The entire data have been offered in the publication</p>
</sec>
<sec id="S8">
<title>Authors contributions</title>
<p>Nady Elbarbary, Mohamed Dandrawy, and Maha Abdelhaseib were in charge of conceptualization, data curation, validation, and methodology. Nasreddin Rhouma and Mostafa Abdelhafeez did formal analysis and investigation. Mounir Bekhit, Ahmed Ezzat, and Wageh Darwish were responsible for investigation, visualization, and supervision. Nady Elbarbary, Layla Al mutairi, Sohaila El-Hawary, and Amin Al-Doaiss were responsible for writing &#x2013; original draft, revision, and editing of the paper. The authors shared evenly and approved the whole manuscript.</p>
</sec>
<sec id="S9" sec-type="COI-statement">
<title>Conflicts of Interest</title>
<p>The authors&#x2019; interests do not conflict with one another.</p>
</sec>
<sec id="S10" sec-type="financial-disclosure">
<title>Funding</title>
<p>This work was funded by Princess Nourah bint Abdulrahman University Researchers Supporting Project number (PNURSP2025R457), Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia</p>
</sec>
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