<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article  PUBLIC "-//NLM//DTD Journal Publishing DTD v3.0 20080202//EN" "http://dtd.nlm.nih.gov/publishing/3.0/journalpublishing3.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="3.0" xml:lang="en" article-type="research article"><front><journal-meta><journal-id journal-id-type="publisher-id">JACEN</journal-id><journal-title-group><journal-title>Journal of Agricultural Chemistry and Environment</journal-title></journal-title-group><issn pub-type="epub">2325-7458</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/jacen.2017.61005</article-id><article-id pub-id-type="publisher-id">JACEN-73777</article-id><article-categories><subj-group subj-group-type="heading"><subject>Articles</subject></subj-group><subj-group subj-group-type="Discipline-v2"><subject>Chemistry&amp;Materials Science</subject><subject> Earth&amp;Environmental Sciences</subject></subj-group></article-categories><title-group><article-title>
 
 
  Identification and Quantification of Microbial Contaminations Present in Herbal Medicines Commonly Consumed by Women in Riyadh, Saudi Arabia
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Muneera</surname><given-names>D. F. Al Kahtani</given-names></name><xref ref-type="corresp" rid="cor1"><sup>*</sup></xref></contrib></contrib-group><author-notes><corresp id="cor1">* E-mail:<email>sijbssubscription@gmail.com, mdf.alkahtani@gmail.com</email>;<email>Department of Biology, College of Science, Princess Nora Bint Abdul Rahman University, Riyadh, Saudi Arabia</email>;</corresp></author-notes><pub-date pub-type="epub"><day>06</day><month>12</month><year>2016</year></pub-date><volume>06</volume><issue>01</issue><fpage>83</fpage><lpage>92</lpage><history><date date-type="received"><day>November</day>	<month>28,</month>	<year>2016</year></date><date date-type="rev-recd"><day>Accepted:</day>	<month>January</month>	<year>21,</year>	</date><date date-type="accepted"><day>January</day>	<month>24,</month>	<year>2017</year></date></history><permissions><copyright-statement>&#169; Copyright  2014 by authors and Scientific Research Publishing Inc. </copyright-statement><copyright-year>2014</copyright-year><license><license-p>This work is licensed under the Creative Commons Attribution International License (CC BY). http://creativecommons.org/licenses/by/4.0/</license-p></license></permissions><abstract><p>
 
 
  
    The present study aimed to investigate the microbial populations such a bacteria and fungi contamination present in the herbal medicinal preparations (Lepidium sativum, Nigella sativa, Cuminum cyminum, Foeniculum vulgare, Pimpinella anisum, Trigoneela foenum-graecum, Cinnamomum verum, peel coffee, Alchemilla valgaris, Vitex agnus-castus) commonly available in different parts of Riyadh, Saudi Arabia. To determine the contamination of the herbal products, experiments such as total aerobic bacterial plate counts were evaluated by various plating techniques. The isolation and identification of fungi were done using czapek dox agar and potato dextrose agar. The results showed that a total of herbal remedies were contaminated with bacteria and fungi (100%). Among the contaminated products, peel of coffee and Vitex angnus-castus were noted more contamination than the other herbal medicinal plants. The results confirmed that the traditionally prepared herbal medications in Riyadh city are likely to be contaminated with a wide variety of potentially pathogenic bacteria and fungi. Therefore, before consumption, the quality assurance of these products should be thoroughly enforced and monitored in the production and distribution of herbal preparations. In conclusion, the present study gives proper evidence that the consumed herbal products contain different levels of pathogenic microbes. 
  
 
</p></abstract><kwd-group><kwd>Traditional Medicinal Plants</kwd><kwd> Bacterial Contamination</kwd><kwd> Fungal Contamination</kwd><kwd> Identification</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>Postpartum period has been influenced by multiple cultural beliefs and practices transmitted from generation to generation. Some traditional practices are beneficial to the mother and baby, whereas others are not. Therefore it is essential for planning and implementing health education programs for these women to realize the beneficial and harmless practices. Postpartum period is the period beginning immediately after the birth of a baby and extending for about six weeks. It is the time during which the mother’s body including hormonal levels and general and reproductive systems returns to a non-pregnant state [<xref ref-type="bibr" rid="scirp.73777-ref1">1</xref>] . Postpartum period is one of the most important stages for the mother-child dichotomy, and has been influenced by multiple cultural beliefs and practices transmitted from generation to generation. Internationally, many studies described the traditional beliefs and practices surrounding child bearing process. Some traditional practices are beneficial to the mother and baby, whereas other practices are not [<xref ref-type="bibr" rid="scirp.73777-ref2">2</xref>] [<xref ref-type="bibr" rid="scirp.73777-ref3">3</xref>] [<xref ref-type="bibr" rid="scirp.73777-ref4">4</xref>] . Traditional postpartum beliefs and practices are common in many countries. Among that, one common belief in many non-Western cultures is the necessity of maintaining a “hot-cold balance” within the body after the birth of a baby. Accordingly, in some cultures, traditional midwives emphasize the application of heat in the postpartum period. New mothers are instructed to use heated water to preserve their warmth by taking the herbal bath, according to the region. They believed that a hot bath increases the flow of milk, and prevents breast milk from becoming “cold”. The history of using herbal medicines is inextricably intertwined with that of modern medicine [<xref ref-type="bibr" rid="scirp.73777-ref5">5</xref>] . Many synthetic drugs listed as conventional medication were originally derived from plants. Traditional herbal plants use various herbal preparations to treat various types of ailments, including diarrhea, urinary tract infections, typhoid fever and skin diseases [<xref ref-type="bibr" rid="scirp.73777-ref6">6</xref>] [<xref ref-type="bibr" rid="scirp.73777-ref7">7</xref>] [<xref ref-type="bibr" rid="scirp.73777-ref8">8</xref>] . Most of the herbal preparations are used in different forms and may carry a large number of various kinds of microbes originating from soil usually adhering to leaves, stems, flowers, seed and root of the herbs [<xref ref-type="bibr" rid="scirp.73777-ref9">9</xref>] [<xref ref-type="bibr" rid="scirp.73777-ref10">10</xref>] [<xref ref-type="bibr" rid="scirp.73777-ref11">11</xref>] . The World Health Organization (WHO 1998) survey indicated that about 70% - 80% of the world population particularly in developing countries relies on non-conventional medicines mainly of herbal origins for their primary health care [<xref ref-type="bibr" rid="scirp.73777-ref12">12</xref>] . This is because herbal medicines are accessible and cheap [<xref ref-type="bibr" rid="scirp.73777-ref13">13</xref>] [<xref ref-type="bibr" rid="scirp.73777-ref14">14</xref>] . Therefore, the quality and safety of herbal preparations are also of great concern. The WHO (1993) explained that quality is the basis of reproducible efficacy and safety of herbal drugs, and to ensure the standard of research on herbal medicines, the quality of the plant materials or preparations is of utmost importance [<xref ref-type="bibr" rid="scirp.73777-ref12">12</xref>] . It has been showed that the quality criteria for herbal drugs are based on a clear scientific definition of the raw materials. It is difficult to establish comprehensive quality criteria for herbal drugs due to “professional secrecy”’ of herbalists, but in order to improve the purity and safety of the products, observation of basic hygiene during preparation, standardization of some physical characteristics such as moisture content, pH and microbiological contamination levels is desirable. Previous studies have confirmed the presence of potential contaminants in herbal preparations [<xref ref-type="bibr" rid="scirp.73777-ref15">15</xref>] . The contaminants that present serious health hazard are pathogenic bacteria such as Salmonella species, Escherichia coli, Staphylococcus aureus, Shigella spp. and other Gram positive and Gram negative strains of bacteria [<xref ref-type="bibr" rid="scirp.73777-ref16">16</xref>] [<xref ref-type="bibr" rid="scirp.73777-ref17">17</xref>] . Unfortunately, no researches (to the best of our knowledge) have been carried out to determine the microbiological safety of these herbal products. In this paper, the level of contamination of powdered herbal products marketed in Riyadh city with selected pathogenic bacteria and fungi was determined and also the antimicrobial susceptibility pattern of these identified microbial pathogens were determined.</p></sec><sec id="s2"><title>2. Materials and Methods</title><sec id="s2_1"><title>2.1. Study Area and Sampling</title><p>A total of 10 different herbal preparations were purchased randomly from herbal shops in Riyadh city. Packaged herbal samples were collected and taken to the laboratory, while those that were not packaged (such as herbal preparations sold by local herbalist) were collected in sterile cans glass [<xref ref-type="bibr" rid="scirp.73777-ref18">18</xref>] . All samples collected from the sites were analyzed in the laboratories of Department of Biology, Prinses Noura University, Saudi Arabia.</p></sec><sec id="s2_2"><title>2.2. Preparation of Culturing Media</title><p>All dehydrated media were prepared according to manufacturer’s instructions. They were mixed with distilled water and dissolved by gentle heat to boil. The media were sterilized in an autoclave (LTE J7090 model, LTE Scientific Ltd., England) at 121˚C for 15 min. The sterile media were dispensed or poured into sterilized petri dishes and allowed to cool. The sterility of the prepared media was checked by incubation of blindly selected plates at 37˚C for 24 h.</p></sec><sec id="s2_3"><title>2.3. Isolation and Identification of Bacteria</title><p>A stock solution of the each sample was prepared by weighing one gram (1 g) of the sample into 9 mL of sterile water and shaken thoroughly. A ten-fold serial dilution of the bacterial suspension was made. This was done until 10<sup>−4</sup> dilution was achieved. 1 mL was then pipetted from the 10<sup>−4</sup> dilution onto the surface of each of two inoculated onto blood agar and nutrient agar media and incubated aerobically at 37˚C for maximum up to 48 h, and repetition three times to ensure the counting of the bacterial colonies.</p></sec><sec id="s2_4"><title>2.4. Isolation and Identification of Fungi</title><p>For the isolation of fungal strains 1 gram from each sample and inoculated onto two media czapek dox agar and potato dextrose agar and incubated at 25˚C for 4 days.</p></sec><sec id="s2_5"><title>2.5. Data Statistical Analysis</title><p>The obtained data were statistically analyzed using the Analysis of Variance (ANOVA) with one way with the MSTAT-C statistical package. The least significant difference procedure (LSD) was used at 0.05 level of probability.</p></sec></sec><sec id="s3"><title>3. Results and Discussion</title><p>The results of the moisture content showed that there was remarkable variation among the different herbal preparations sampled. European Agency for the Evaluation of Medicinal products (1998) suggested that water content should be included in the list of comprehensive specifications for herbal medicinal products especially the powdered forms [<xref ref-type="bibr" rid="scirp.73777-ref19">19</xref>] . The maximum moisture content limit of 8%/g of herbal preparations are satisfactory according to National Agency for Food and Drug Administration and Control (NAFDAC SOP 2000) [<xref ref-type="bibr" rid="scirp.73777-ref20">20</xref>] . In this study, (100%) of the 10 herbal products were within, while 5 (50%) were outside the NAFDAC stated limit. Even at less than 58% moisture content limit various pathogenic bacteria were found. The fungi counts observed in the (100%) herbal preparations with high moisture contents were high, suggesting that high moisture contents favored the growth of pathogenic bacteria as well as non-patho- genic ones in herbal preparations. Similarly, the low bacterial counts in the other preparations could be attributed to very low moisture contents. In order to ascertain the correlation between the moisture content and bacterial load, Pearson chi-square correlation test was employed. At 0.01 level of confidence there was positive correlation between moisture content and bacterial counts (r = +0.109).</p><p>As shown in <xref ref-type="table" rid="table1">Table 1</xref> and <xref ref-type="table" rid="table2">Table 2</xref> and figure 1, there were no statistically significant differences at the level of 0.05 or less for plant samples (Lepidium sativum, Nigella sativa, Cuminum cyminum, Foeniculum vulgar, Pimpinella animus, Trigoneela foenum-graecum, Cinnamomum verum, Alchemilla valgaris). As it is clear from the results shown in <xref ref-type="table" rid="table1">Table 1</xref>, there are no statistically significant differences at the 0.05 level or less about (peel coffee) variable depending on the study. It is clear from the results described above and no statistically significant differences at the level of about 0.01 or less (Vitex agnus-castus) variable depending on the study. In order to determine the direction of the differences between each of the two study groups towards the direction on these axes were used “LSD” test and the results were illustrated in <xref ref-type="fig" rid="fig1">Figure 1</xref> and <xref ref-type="fig" rid="fig2">Figure 2</xref>.</p><fig id="fig1"  position="float"><label><xref ref-type="fig" rid="fig1">Figure 1</xref></label><caption><title> Percentage of the growth bacteria and fungi isolation from herbal medicine</title></caption><graphic mimetype="image"   position="float"  xlink:type="simple"  xlink:href="http://html.scirp.org/file/5-2750219x2.png"/></fig><fig id="fig2"  position="float"><label><xref ref-type="fig" rid="fig2">Figure 2</xref></label><caption><title> Range of the growth bacteria and fungi isolation from herbal medicine in different media</title></caption><graphic mimetype="image"   position="float"  xlink:type="simple"  xlink:href="http://html.scirp.org/file/5-2750219x3.png"/></fig><table-wrap id="table1" ><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> Average bacteria and fungi count of sample (&#215;104 CFU/g)</title></caption><table><tbody><thead><tr><th align="center" valign="middle" ></th><th align="center" valign="middle" ></th><th align="center" valign="middle" >Sum of squares</th><th align="center" valign="middle" >df</th><th align="center" valign="middle" >Mean Square</th><th align="center" valign="middle" >F</th><th align="center" valign="middle" >Significance</th></tr></thead><tr><td align="center" valign="middle" >A1</td><td align="center" valign="middle" >Between Groups</td><td align="center" valign="middle" >18.917</td><td align="center" valign="middle" >3</td><td align="center" valign="middle" >6.306</td><td align="center" valign="middle" >2.162</td><td align="center" valign="middle" >0.171</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >With in Groups</td><td align="center" valign="middle" >23.333</td><td align="center" valign="middle" >8</td><td align="center" valign="middle" >2.917</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >Total</td><td align="center" valign="middle" >42.25</td><td align="center" valign="middle" >11</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >A2</td><td align="center" valign="middle" >Between Groups</td><td align="center" valign="middle" >16,988.25</td><td align="center" valign="middle" >3</td><td align="center" valign="middle" >5662.750</td><td align="center" valign="middle" >2.725</td><td align="center" valign="middle" >0.114</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >With in Groups</td><td align="center" valign="middle" >16,626.667</td><td align="center" valign="middle" >8</td><td align="center" valign="middle" >2078.333</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >Total</td><td align="center" valign="middle" >33,614.917</td><td align="center" valign="middle" >11</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >A3</td><td align="center" valign="middle" >Between Groups</td><td align="center" valign="middle" >23.12.00</td><td align="center" valign="middle" >3</td><td align="center" valign="middle" >770.667</td><td align="center" valign="middle" >2.369</td><td align="center" valign="middle" >0.147</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >With in Groups</td><td align="center" valign="middle" >2602.667</td><td align="center" valign="middle" >8</td><td align="center" valign="middle" >325.333</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >Total</td><td align="center" valign="middle" >4914.667</td><td align="center" valign="middle" >11</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >A4</td><td align="center" valign="middle" >Between Groups</td><td align="center" valign="middle" >4387.000</td><td align="center" valign="middle" >3</td><td align="center" valign="middle" >1462.333</td><td align="center" valign="middle" >1.926</td><td align="center" valign="middle" >0.204</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >With in Groups</td><td align="center" valign="middle" >6074.667</td><td align="center" valign="middle" >8</td><td align="center" valign="middle" >759.333</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >Total</td><td align="center" valign="middle" >10,461.667</td><td align="center" valign="middle" >11</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >A5</td><td align="center" valign="middle" >Between Groups</td><td align="center" valign="middle" >196.00</td><td align="center" valign="middle" >3</td><td align="center" valign="middle" >65.333</td><td align="center" valign="middle" >0.547</td><td align="center" valign="middle" >0.664</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >With in Groups</td><td align="center" valign="middle" >954.667</td><td align="center" valign="middle" >8</td><td align="center" valign="middle" >119.333</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >Total</td><td align="center" valign="middle" >1150.667</td><td align="center" valign="middle" >11</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >A6</td><td align="center" valign="middle" >Between Groups</td><td align="center" valign="middle" >448.667</td><td align="center" valign="middle" >3</td><td align="center" valign="middle" >149.556</td><td align="center" valign="middle" >0.646</td><td align="center" valign="middle" >0.607</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >With in Groups</td><td align="center" valign="middle" >1851.333</td><td align="center" valign="middle" >8</td><td align="center" valign="middle" >231.417</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >Total</td><td align="center" valign="middle" >2300.000</td><td align="center" valign="middle" >11</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >A7</td><td align="center" valign="middle" >Between Groups</td><td align="center" valign="middle" >2593.667</td><td align="center" valign="middle" >3</td><td align="center" valign="middle" >864.556</td><td align="center" valign="middle" >2.673</td><td align="center" valign="middle" >0.118</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >With in Groups</td><td align="center" valign="middle" >2587.333</td><td align="center" valign="middle" >8</td><td align="center" valign="middle" >323.417</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >Total</td><td align="center" valign="middle" >5181.000</td><td align="center" valign="middle" >11</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >A8</td><td align="center" valign="middle" >Between Groups</td><td align="center" valign="middle" >53,020.250</td><td align="center" valign="middle" >3</td><td align="center" valign="middle" >17,673.417</td><td align="center" valign="middle" >4.524</td><td align="center" valign="middle" >0.039</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >With in Groups</td><td align="center" valign="middle" >31,250.667</td><td align="center" valign="middle" >8</td><td align="center" valign="middle" >3906.333</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >Total</td><td align="center" valign="middle" >84,270.917</td><td align="center" valign="middle" >11</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >A9</td><td align="center" valign="middle" >Between Groups</td><td align="center" valign="middle" >57,842.000</td><td align="center" valign="middle" >3</td><td align="center" valign="middle" >19,280.667</td><td align="center" valign="middle" >3.540</td><td align="center" valign="middle" >0.068</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >With in Groups</td><td align="center" valign="middle" >43,572.667</td><td align="center" valign="middle" >8</td><td align="center" valign="middle" >5446.583</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >Total</td><td align="center" valign="middle" >101,414.7</td><td align="center" valign="middle" >11</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >A10</td><td align="center" valign="middle" >Between Groups</td><td align="center" valign="middle" >22,177.000</td><td align="center" valign="middle" >3</td><td align="center" valign="middle" >7392.333</td><td align="center" valign="middle" >23.630</td><td align="center" valign="middle" >0.000</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >With in Groups</td><td align="center" valign="middle" >2502.667</td><td align="center" valign="middle" >8</td><td align="center" valign="middle" >312.833</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >Total</td><td align="center" valign="middle" >24,679.667</td><td align="center" valign="middle" >11</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr></tbody></table></table-wrap><table-wrap id="table2" ><label><xref ref-type="table" rid="table2">Table 2</xref></label><caption><title> Occurrence and frequency of fungi and bacteria with herbal medicine of four different media</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  colspan="6"  >LSD</th><th align="center" valign="middle"  colspan="2"  >95% confidence interval</th></tr></thead><tr><td align="center" valign="middle" >Dependant Variable</td><td align="center" valign="middle" >1 Q2</td><td align="center" valign="middle" >JQ2</td><td align="center" valign="middle" >Mean Difference (I-J)</td><td align="center" valign="middle" >Standard error</td><td align="center" valign="middle" >Significance</td><td align="center" valign="middle" >Lower Bound</td><td align="center" valign="middle" >Upper Bound</td></tr><tr><td align="center" valign="middle" >A8</td><td align="center" valign="middle" >Nutrient Agar</td><td align="center" valign="middle" >Blood Agar</td><td align="center" valign="middle" >150.33*</td><td align="center" valign="middle" >51.03</td><td align="center" valign="middle" >0.019</td><td align="center" valign="middle" >32.65</td><td align="center" valign="middle" >268.01</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >Czapek dox Agar</td><td align="center" valign="middle" >155.00*</td><td align="center" valign="middle" >51.03</td><td align="center" valign="middle" >0.016</td><td align="center" valign="middle" >37.32</td><td align="center" valign="middle" >272.68</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >Potato dextrose Agar</td><td align="center" valign="middle" >155.00*</td><td align="center" valign="middle" >51.03</td><td align="center" valign="middle" >0.016</td><td align="center" valign="middle" >37.32</td><td align="center" valign="middle" >272.68</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >Blood Agar</td><td align="center" valign="middle" >Nutrient Agar</td><td align="center" valign="middle" >−150.33*</td><td align="center" valign="middle" >51.03</td><td align="center" valign="middle" >0.019</td><td align="center" valign="middle" >−268.01</td><td align="center" valign="middle" >−32.65</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >Czapek dox Agar</td><td align="center" valign="middle" >4.67</td><td align="center" valign="middle" >51.03</td><td align="center" valign="middle" >0.929</td><td align="center" valign="middle" >−113.01</td><td align="center" valign="middle" >122.35</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >Potato dextrose Agar</td><td align="center" valign="middle" >4.67</td><td align="center" valign="middle" >51.03</td><td align="center" valign="middle" >0.929</td><td align="center" valign="middle" >−113.01</td><td align="center" valign="middle" >122.35</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >Czapek dox Agar</td><td align="center" valign="middle" >Nutrient Agar</td><td align="center" valign="middle" >−150.33*</td><td align="center" valign="middle" >51.03</td><td align="center" valign="middle" >0.016</td><td align="center" valign="middle" >−272.68</td><td align="center" valign="middle" >−37.32</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >Blood Agar</td><td align="center" valign="middle" >−4.67</td><td align="center" valign="middle" >51.03</td><td align="center" valign="middle" >0.929</td><td align="center" valign="middle" >−122.35</td><td align="center" valign="middle" >113.01</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >Potato dextrose Agar</td><td align="center" valign="middle" >0.00</td><td align="center" valign="middle" >51.03</td><td align="center" valign="middle" >1.000</td><td align="center" valign="middle" >−117.68</td><td align="center" valign="middle" >117.68</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >Potato dextrose Agar</td><td align="center" valign="middle" >Nutrient Agar</td><td align="center" valign="middle" >−150.33*</td><td align="center" valign="middle" >51.03</td><td align="center" valign="middle" >0.016</td><td align="center" valign="middle" >−272.68</td><td align="center" valign="middle" >−37.32</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >Blood Agar</td><td align="center" valign="middle" >−4.67</td><td align="center" valign="middle" >51.03</td><td align="center" valign="middle" >0.929</td><td align="center" valign="middle" >−122.35</td><td align="center" valign="middle" >113.01</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >Czapek dox Agar</td><td align="center" valign="middle" >0.00</td><td align="center" valign="middle" >51.03</td><td align="center" valign="middle" >1.000</td><td align="center" valign="middle" >−117.68</td><td align="center" valign="middle" >117.68</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >A10</td><td align="center" valign="middle" >Nutrient Agar</td><td align="center" valign="middle" >Blood Agar</td><td align="center" valign="middle" >80.67*</td><td align="center" valign="middle" >14.44</td><td align="center" valign="middle" >0.001</td><td align="center" valign="middle" >47.36</td><td align="center" valign="middle" >113.97</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >Czapek dox Agar</td><td align="center" valign="middle" >104.67*</td><td align="center" valign="middle" >14.44</td><td align="center" valign="middle" >0.000</td><td align="center" valign="middle" >71.36</td><td align="center" valign="middle" >137.97</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >Potato dextrose Agar</td><td align="center" valign="middle" >104.67*</td><td align="center" valign="middle" >14.44</td><td align="center" valign="middle" >0.000</td><td align="center" valign="middle" >71.36</td><td align="center" valign="middle" >137.97</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >Blood Agar</td><td align="center" valign="middle" >Nutrient Agar</td><td align="center" valign="middle" >−80.67*</td><td align="center" valign="middle" >14.44</td><td align="center" valign="middle" >0.001</td><td align="center" valign="middle" >−113.97</td><td align="center" valign="middle" >−47.36</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >Czapek dox Agar</td><td align="center" valign="middle" >24.00</td><td align="center" valign="middle" >14.44</td><td align="center" valign="middle" >0.135</td><td align="center" valign="middle" >−9.30</td><td align="center" valign="middle" >57.30</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >Potato dextrose Agar</td><td align="center" valign="middle" >24.00</td><td align="center" valign="middle" >14.44</td><td align="center" valign="middle" >0.135</td><td align="center" valign="middle" >−9.30</td><td align="center" valign="middle" >57.30</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >Czapek dox Agar</td><td align="center" valign="middle" >Nutrient Agar</td><td align="center" valign="middle" >−104.67*</td><td align="center" valign="middle" >14.44</td><td align="center" valign="middle" >0.000</td><td align="center" valign="middle" >−137.97</td><td align="center" valign="middle" >−71.36</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >Blood Agar</td><td align="center" valign="middle" >−24.00</td><td align="center" valign="middle" >14.44</td><td align="center" valign="middle" >0.135</td><td align="center" valign="middle" >−57.30</td><td align="center" valign="middle" >9.30</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >Potato dextrose Agar</td><td align="center" valign="middle" >0.00</td><td align="center" valign="middle" >14.44</td><td align="center" valign="middle" >1.000</td><td align="center" valign="middle" >−33.30</td><td align="center" valign="middle" >33.30</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >Potato dextrose Agar</td><td align="center" valign="middle" >Nutrient Agar</td><td align="center" valign="middle" >−104.67*</td><td align="center" valign="middle" >14.44</td><td align="center" valign="middle" >0.000</td><td align="center" valign="middle" >−137.97</td><td align="center" valign="middle" >−71.36</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >Blood Agar</td><td align="center" valign="middle" >−24.00</td><td align="center" valign="middle" >14.44</td><td align="center" valign="middle" >0.135</td><td align="center" valign="middle" >−57.30</td><td align="center" valign="middle" >9.30</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >Czapek dox Agar</td><td align="center" valign="middle" >0.00</td><td align="center" valign="middle" >14.44</td><td align="center" valign="middle" >1.000</td><td align="center" valign="middle" >−33.30</td><td align="center" valign="middle" >33.30</td></tr></tbody></table></table-wrap><p>*The mean difference is significance at the 0.05 level.</p><p>The microbial populations were not significant with the medicinal plants such as (peel coffee) in (nutrient agar) and the medium in the (blood agar, czapek dox agar, potato dextrose agar) (<xref ref-type="table" rid="table3">Table 3</xref>). As it is clear from the results described</p><table-wrap id="table3" ><label><xref ref-type="table" rid="table3">Table 3</xref></label><caption><title> Frequency of the fungi and bacteria isolated from peel coffee and Vitex agnus- castus</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Samples</th><th align="center" valign="middle" >Different media</th><th align="center" valign="middle" >N</th><th align="center" valign="middle" >Total numbers</th><th align="center" valign="middle" >Nutrient agar</th><th align="center" valign="middle" >Blood agar</th><th align="center" valign="middle" >Czapek dox agar</th><th align="center" valign="middle" >Potato dextrose agar</th></tr></thead><tr><td align="center" valign="middle" >peel coffee</td><td align="center" valign="middle" >Nutrient agar</td><td align="center" valign="middle" >3</td><td align="center" valign="middle" >160 &#177; 14</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >*</td><td align="center" valign="middle" >*</td><td align="center" valign="middle" >*</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >Blood agar</td><td align="center" valign="middle" >3</td><td align="center" valign="middle" >9.67 &#177; 1.3</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >-</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >Czapek dox agar</td><td align="center" valign="middle" >3</td><td align="center" valign="middle" >5.00 &#177; 0.023</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >-</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >Potato dextrose agar</td><td align="center" valign="middle" >3</td><td align="center" valign="middle" >5.00 &#177; 0.15</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >-</td></tr><tr><td align="center" valign="middle" >Vitex agnus- castus</td><td align="center" valign="middle" >Nutrient agar</td><td align="center" valign="middle" >3</td><td align="center" valign="middle" >109.67 &#177; 7.5</td><td align="center" valign="middle" >-</td><td align="center" valign="middle" >**</td><td align="center" valign="middle" >**</td><td align="center" valign="middle" >**</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >Blood agar</td><td align="center" valign="middle" >3</td><td align="center" valign="middle" >29.00 &#177; 2.11</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >-</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >Czapek dox agar</td><td align="center" valign="middle" >3</td><td align="center" valign="middle" >5.00 &#177; 0.11</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >-</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >Potato dextrose agar</td><td align="center" valign="middle" >3</td><td align="center" valign="middle" >5.00 &#177; 0.043</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >-</td></tr></tbody></table></table-wrap><p>LSD for fungus and bacteria; *interaction = 0.56 (p ≤ 0.05); **interaction = 0.01 (p ≤ 0.01).</p><p>above that there are statistically significant differences at the level of 0.01 between the average (Vitex agnus-castus) in (nutrient agar) and the average M in (blood agar, Czapek dox agar, (potato dextrose agar) to the average (peel coffee) in (nutrient agar), where he was the highest. The limits of bacterial contamination given in European pharmacopoeia as reported by [<xref ref-type="bibr" rid="scirp.73777-ref17">17</xref>] are: total aerobic bacteria (10<sup>5</sup> CFU/g), Enterobacteria and other Gram negative organisms (10<sup>3</sup> CFU/g). Escherichia coli and Salmonella should be absent in the consumed medicinal plants. However, the herbal products under study did not meet these specifications in most cases. The samples were contaminated to varying degrees with pathogenic bacteria. Herbal preparations were however free from bacterial contamination, All herbal medicine (100%) had bacterial counts in the range of 1.0 &#215; 10<sup>7</sup> to 4.5 &#215; 10<sup>7</sup> CFU/g; while six (70.07%) showed count between 5 &#215; 10<sup>7</sup> and 8.5 &#215; 10<sup>7</sup> CFU/g. The bacterial counts, in general, ranged between 1.0 &#215; 10<sup>7</sup> and 1.8 &#215; 10<sup>8</sup> CFU/g respectively. Of concern also is the level of contamination of herbal medicinal preparations by pathogenic Gram negative bacteria. Approximately 58.7% of the samples were contaminated by E. coli, which is an intestinal bacterium and is an indicator for faecal contamination, and 46.7% were contaminated by Salmonella typhi. Surprisingly, 65.7% of the samples were contaminated by Staphylococcus aureus, while (19.3%) were contaminated by Shigella spp. Modernization of health care could benefit from integrating aspects of traditional practices and plant use into healthcare modernization programmes through active involvement of local people. It would facilitate the implementation of culturally appropriate healthcare that respects traditional knowledge and contributes to bio-culturally sustainable development. In addition, there is a need for ethno-botanical research into the rich bio-cultural diversity of the ethnic groups in Asia as rapid assimilation with main stream culture increases. Research focusing on traditionally ignored subjects such as women's health care [<xref ref-type="bibr" rid="scirp.73777-ref21">21</xref>] [<xref ref-type="bibr" rid="scirp.73777-ref22">22</xref>] . In general, ethnobotanical studies often overlook the variety and relative importance of plants used in women’s healthcare [<xref ref-type="bibr" rid="scirp.73777-ref23">23</xref>] [<xref ref-type="bibr" rid="scirp.73777-ref24">24</xref>] , with a few notable exceptions [<xref ref-type="bibr" rid="scirp.73777-ref25">25</xref>] [<xref ref-type="bibr" rid="scirp.73777-ref26">26</xref>] . Research focusing on contamination of herbal medicinal when women use at the postpartum period and the efficacy of these treatments that are both ancient and wide spread, could provide insights that could help to augment and improve both local and Western postpartum care.</p></sec><sec id="s4"><title>4. Conclusion</title><p>It is known that postpartum period is the most crucial period for the mother and the child. During this period, the immunity of the mother is enhanced and protected by the inhalation of various health benefits herbal medicines. In the present study, the microbial populations of various herbal medicines were determined. The study concluded that, the used herbal medicines contain different levels of microbial pathogens such as Gram Positive and Gram Negative bacteria together with filamentous fungi. However, different levels of public awareness should be made related to the importance of the plant species used such as different methods of plant collection, various preparation techniques, sterile processing techniques. Thereby the medicinal properties of the plants can be protected for a long time.</p></sec><sec id="s5"><title>Conflict of Interest</title><p>We declare that we have no conflict of interest.</p></sec><sec id="s6"><title>Cite this paper</title><p>Al Kahtani, M.D.F. (2017) Identification and Quantification of Microbial Contaminations Present in Herbal Medicines Commonly Consumed by Women in Riyadh, Saudi Arabia. Journal of Agricultural Chemistry and Environment, 6, 83-92. https://doi.org/10.4236/jacen.2017.61005</p></sec></body><back><ref-list><title>References</title><ref id="scirp.73777-ref1"><label>1</label><mixed-citation publication-type="other" xlink:type="simple">Costantine, M.M. (2014) Physiologic and Pharmacokinetic Changes in Pregnancy. 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