<pmc-articleset>
	<script/>
	<script/>
	<article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:ali="http://www.niso.org/schemas/ali/1.0/" xmlns:xlink="http://www.w3.org/1999/xlink" article-type="research-article" xml:lang="en" dtd-version="1.4">
	<front>
		<journal-meta>
			<journal-id journal-id-type="nlm-ta">Mac Vet Rev</journal-id>
			<journal-id journal-id-type="publisher-id">UKIM-FVMS</journal-id>
			<journal-title-group>
				<journal-title>Macedonian Veterinary Review : Mac Vet Rev</journal-title>
			</journal-title-group>
			<issn pub-type="ppub">1409-7621</issn>
			<issn pub-type="epub">1857-7415</issn>
			<publisher>
				<publisher-name>Faculty of Veterinary Medicine - Skopje</publisher-name>
			</publisher>
		</journal-meta>
		<article-meta>
			<article-id pub-id-type="doi">https://doi.org/10.2478/macvetrev-2026-0016</article-id>
			<article-id pub-id-type="publisher-id">macvetrev-2026-0016</article-id>
			<article-categories>
				<subj-group subj-group-type="heading">
					<subject>Original Scientific Article</subject>
				</subj-group>
			</article-categories>
			<title-group>
				<article-title>EFFECTS OF LYOPHILIZATION ON DIAGNOSTIC POTENTIAL OF BRUCELLA ANTIGENS</article-title>
			</title-group>
			<contrib-group>
				<contrib contrib-type="author">
					<contrib-id contrib-id-type="orcid">http://orcid.org/0009-0002-4570-1727</contrib-id>
					<name>
						<surname>Farahat</surname>
						<given-names>Lubna F.</given-names>
					</name>
					<xref ref-type="aff" rid="aff1">1</xref>
				</contrib>
				<contrib contrib-type="author">
					<contrib-id contrib-id-type="orcid">http://orcid.org/0009-0003-4719-8034</contrib-id>
					<name>
						<surname>Shell</surname>
						<given-names>Waleed S.</given-names>
					</name>
					<xref ref-type="aff" rid="aff2">2</xref>
				</contrib>
				<contrib contrib-type="author">
					<contrib-id contrib-id-type="orcid">http://orcid.org/0000-0002-3219-5485</contrib-id>
					<name>
						<surname>Diab</surname>
						<given-names>Marwa S.</given-names>
					</name>
					<xref ref-type="aff" rid="aff2">2</xref>
				</contrib>
				<contrib contrib-type="author">
					<contrib-id contrib-id-type="orcid">http://orcid.org/0009-0007-4421-7948</contrib-id>
					<name>
						<surname>Mohamed</surname>
						<given-names>Azza M.</given-names>
					</name>
					<xref ref-type="aff" rid="aff1">1</xref>
				</contrib>
				<contrib contrib-type="author">
					<contrib-id contrib-id-type="orcid">http://orcid.org/0009-0005-0177-5486</contrib-id>
					<name>
						<surname>Elshazly</surname>
						<given-names>Maha A.</given-names>
					</name>
					<xref ref-type="aff" rid="aff2">2</xref>
					<xref ref-type="corresp" rid="cor1">*</xref>
				</contrib>
			</contrib-group>
			<aff id="aff1">
				<label>1</label>
				<institution>Veterinary Serum and Vaccine Research Institute-Agricultural Research Center</institution>
				<addr-line>Cairo</addr-line>
				<country>Egypt</country>
			</aff>
			<aff id="aff2">
				<label>2</label>
				<institution>Central Laboratory for Evaluation of Veterinary Biologics-Agricultural Research Center, Elseka Elbeda str.</institution>
				<addr-line>Cairo</addr-line>
				<country>Egypt</country>
			</aff>
			<author-notes>
				<corresp id="cor1">
					<label>*</label>Corresponding author: <email>dr.mahaahmed2006@gmail.com</email>
				</corresp>
			</author-notes>
            <pub-date date-type="pub" publication-format="print">
                <day>15</day>
                <month>03</month>
                <year>2026</year>
            </pub-date>
            <pub-date date-type="pub" publication-format="electronic">
                <day>06</day>
                <month>03</month>
                <year>2026</year>
            </pub-date>
            <volume>49</volume>
            <issue>1</issue>
            <fpage>117</fpage>
            <lpage>128</lpage>
			<elocation-id>i</elocation-id>
			<history>
				<date date-type="received">
					<day>30</day>
					<month>01</month>
					<year>2025</year>
				</date>
				<date date-type="rev-recd">
					<day>24</day>
					<month>11</month>
					<year>2025</year>
				</date>
				<date date-type="accepted">
					<day>18</day>
					<month>12</month>
					<year>2025</year>
				</date>
			</history>
			<permissions>
				<copyright-statement>Copyright: &#x00A9; 2026 Farahat L.F.</copyright-statement>
				<copyright-year>2026</copyright-year>
				<license license-type="open-access" xlink:href="http://creativecommons.org/licenses/by/4.0/">
					<license-p>This is an open-access article published under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.</license-p>
				</license>
			</permissions>
			<abstract>
				<p>Brucella is the causative agent of brucellosis, a serious zoonotic bacterial illness that affects a variety of mammals worldwide. Brucellosis control and eradication programs mainly depend on effective and safe vaccination programs and accurate diagnostic tools. Animals are typically tested for bovine brucellosis using the complement fixation test (CFT), indirect ELISA (I-ELISA), and slide agglutination assays. The aim of the work is to produce freeze-dried slide agglutination antigens to be a strategic store for emergency outbreaks and to evaluate these antigens based on their diagnostic performance characteristics. In-house freeze-dried and liquid Rose Bengal antigens and freeze-dried and Liquid Buffered Acidified Plate Agglutination antigens were developed. I-ELISA with in-house produced antigen titrated and coated with smooth lipopolysaccharide was prepared and validated. The diagnostic performance parameters for each test were estimated using CFT as a gold standard test. The diagnostic performance characteristics for slide agglutination tests using different antigen preparations were estimated using CFT as a reference test. The study included 95 bovine sera tested for brucellosis. The Rose Bengal plate test was positive in 68 and 67 of sera by both LRB and FDRB, respectively. BAPA was positive in 72, 71, and 58 of sera when tested by LBAPA, FDBAPA, and I-ELISA respectively, while 48 sera were positive when confirmed by CFT. It was concluded that the newly prepared freeze-dried slide agglutination antigens were approximately as efficient as traditionally prepared antigens in terms of diagnostic performance items.</p>
			</abstract>
			<kwd-group kwd-group-type="author">
				<title>Key words</title>
				<kwd>Brucella</kwd>
				<kwd>bovine brucellosis</kwd>
				<kwd>S-LPS</kwd>
				<kwd>Rose Bengal test</kwd>
				<kwd>slide agglutination</kwd>
			</kwd-group>
		</article-meta>
	</front>
	<body>
		<sec>
			<title>INTRODUCTION</title>
			<p>Brucellosis is a serious bacterial zoonotic disease of global importance caused by bacteria of the genus Brucella. It affects a variety of mammals, including humans, ruminants, swine, rodents, wild animals, and marine mammals. It was previously believed that there are just three major Brucella species that are significant from a zoonotic standpoint, Brucella melitensis (sheep and goats), Brucella abortus (buffaloes and cattle), and Brucella suis (pigs). Nowadays, B. ceti (cetaceans), B. pinnipedialis (pinnipeds) (1) (both in marine mammals),B. inopinata (humans-zoonotic importance) (2), and B. microti (voles) (3) which is suspected to be infectious to man, are identified as other important Brucella species. B. papionis (baboons), and B. vulpis (foxes) (4) are still under question mark about their infectivity for humans. CDC (Centers for Disease Control and Prevention) classified Brucella as a category-B pathogen that has the possibility to be one of the components of biological weapons, as it can be transmitted through aerosols (5). Brucella spp. is considered one of the most important and common causative agents for laboratory staff and workers (laboratory-acquired pathogens) (6). Brucellosis has no particular clinical characteristics, so diagnosis of brucellosis depends mainly on laboratory diagnosis, either microbiological culture for isolation and identification or serological tests such as the Complement Fixation Test (CFT), ELISA, and slide agglutination tests such as the Rose Bengal test, as well as molecular biology diagnosis. Slide agglutination tests, especially the Rose Bengal test are simple and rapid tests used as pilot tests for screening animal brucellosis. Anyhow, it is recommended that the RB test should be used with other confirmatory serological tests (with high sensitivity and specificity), such as CFT and I-ELISA, as a reference method in the absence of the main gold standard method (isolation and identification) (7). The aim of this study was to produce freeze-dried Rose Bengal (FD-RB) antigen and buffered acidified plate agglutination (FD-BAPA) antigen as a strategic store for emergency outbreaks, and to evaluate their stability, sensitivity, specificity, pH, PCV, and other performance criteria.</p>
		</sec>
		<sec>
			<title>MATERIAL AND METHODS</title>
			<sec>
				<title>Bovine serum samples</title>
				<p>Ninety-five bovine sera were randomly collected from non-vaccinated animals of infected flocks. Brucellosis-negative and -positive sera were determined by using the traditional Rose Bengal test as a pilot test for screening of Brucella antibodies in ruminants (8, 9, 10).Rose Bengal antigens (RB antigen) and buffered acidified plate antigen (BAPA)All slide agglutination antigens were prepared and performed according to OIE and Alton (8, 10) in the Veterinary Serum and Vaccine Research Institute (VSVRI) using a reference strain, Brucella abortus biovar 1 (S99).Lyophilization using a freeze-drying method A stabilizer (an additive preserving material) was prepared and used for the production of RB and BAPA antigens. These ingredients, which consist mainly of protein, polysaccharides, or both, were used in the following proportions: 1% sodium glutamate, 2.5% enzymatic digest of casein, and 5% sucrose (11).Physicochemical tests of all prepared antigens Physicochemical tests were done in compliance with British Pharmacopoeia (2012) (12). Physicochemical tests were done by periodical check of the appearance, negative pressure (vacuum), and solubility of the lyophilized cake with suitable diluents. Additionally, color, consistency, and presence of particles of the freeze-dried antigen product were checked (13). In this study, in-house prepared freeze-dried antigens were reconstituted with a suitable volume of their acidic buffer and checked for PCV, pH, color, and absence of auto-agglutination.Short-term stability study The freeze-dried antigens were assessed in five periods (once/per month) after the production date to confirm their short-term stability. In each period, quality control and performance characteristics assessment was performed. In-house smooth Brucella lipopolysaccharide (S-LPS, Hot Saline Extract)According to Alton and Plackett (10, 14), S-LPS was prepared and checkerboard titrated to be used as an Indirect Enzyme-Linked Immunosorbent Assay (I-ELISA) coating antigen (10). Home-made I-ELISA was carried out using 96-well polystyrene flat-bottom micro plates according to the procedure described by OIE and Alton (8, 10). All ELISA buffers used in this study were previously validated. The OD values were measured at 450 nm by using anELISA Plate Reader (Thermo Scientific Multiskan FC, United States) and TMB as a substrate. This in-house ELISA was validated in comparison with the IDEXX Brucellosis Serum Ab Test for Bovine Brucellosis, measuring Linearity, Specificity (cross-reactivity), Sensitivity and Intra-assay precision using high, moderate, and low positive and negative Brucella-infected bovine sera.Validation of in–house ELISA Validation of ELISA was done by measuring Linearity, Specificity (cross-reactivity) using serum against gram-negative bacteria that cross-reacted with serological tests for diagnosis of brucellosis, Sensitivity and Intra-assay precision. Warm complement fixation test (CFT)Hemolysin and complement were prepared, titrated, and preserved according to Alton (10) compliant with Hennager (15) and Stowell, H.E., (personal communication, November 22, 2010). The test was performed according to the American SOP described by (16). The cutoff point of positive CFT is ≥20 international CFT units (ICFTU)/c.All quality control and quality assurance for serological tests were fulfilled according to the requirements of OIE guidelines and ISO/IEC 17025:2017 (8).The evaluation of the test performance was carried out by calculating sensitivity, accuracy, positive predictive value or precision, negative predictive value, relative sensitivity, relative specificity, false positive rate, and false negative rate in addition to the probability ratio of positive results and the likelihood ratio of negative results. All the above-mentioned analyses were conducted by using (http://vassarstats.net/clin1.html, https://ebm-tools.knowledgetranslation.net/calculator/diagnostic/ and http://onlineconfusionmatrix.com/). Receiver Operating Characteristics (ROC) graph was plotted for cut-off selection at its best accuracy. ROC was generated to determine accuracy, specificity, and sensitivity of the tests by using CFT as a reference test. ROC was conducted using the statistical software MEDCALC. The logical relation of the reference test (CFT) with other serological tests is determined by a Venn diagram. The expressed AUROC represents accuracy. The higher the AUC, the more the accurate the test. ROC curve was constructed for each slide agglutination antigen, and optimal thresholds were calculated based on the optimized sensitivity and specificity.Agreement between all serological tests performed in this study was calculated by generating a Venn diagram by using online platform https://www.statskingdom.com/venn-diagram-maker.html.Ethical approval and consent for participationThe study was approved by ethical committee of CLEVB (arc.clevb.51429).</p>
			</sec>
		</sec>
		<sec>
			<title>RESULTS</title>
			<sec>
				<title>Validation of in–house ELISA</title>
				<p>All parameters were valid and satisfactory (Fig. 1 and Tables 1 and 2). Table 1. Specificity (cross reactivity) of ELISASerum typeResultAnti Yersinia enterocolitica O9NegativeAnti E. coli O157NegativeAnti BrucellaPOSITIVEControl positivePOSITIVEControl negativeNegativeTable 2. Intra-assay precision of ELISA (coeffecient of variation (CV) % should be &amp;lt;10)Mean of sampleSDCV%Result0.11000.0056575.142595-ve0.12650.0063645.030799-ve1.29450.0671755.189273+ve1.17150.0869747.424169+ve2.25900.1697067.512423+ve2.95950.0247490.836247+veRose Bengal antigen was with PCV 8%, pH 3.65, and rose color, while BAPA antigen was with PCV 11%, pH 3.7, and blue color. Diagnostic performance properties, including AUROC (Area Under the Curve), specificity, sensitivity, PPV, and NPV, were within 95% CI. Out of 95 bovine sera tested for brucellosis, the Rose Bengal plate test was positive by Liquid Rose Bengal (LRB) and freeze-dried Rose Bengal (FDRB) in 68 (71.58%) and 67 (70.53%) samples, respectively. Buffered Acidified Plate Antigen (BAPA) was positive in 72 (75.79%) and 71 (74.74%) of the samples when tested by Liquid Buffered Acidified Plate Antigen (LBAPA) and Freeze-Dried Buffered Acidified Plate Antigen (FDBAPA), respectively. I-ELISA was positive for 58 (61.05%), while CFT for 48 (50.53%) samples (Tables 3, 4, and 5). Table 3. Sensitivity of RBT using liquid prepared RB antigen and freeze-dried RB antigen against CFT as a reference testCFTCFTNegativePositiveTotalsNegativePositiveTotalsLiquid prepared RB antigenTest positive115768freeze- dried RB antigenTest positive105767Test negative24327Test negative25328Totals356095Totals356095Table 4. Sensitivity of BAPA test using liquid prepared BAPA antigen and freeze-dried BAPA antigen against CFT as a Gold Standard testCFTCFTNegativePositiveTotalsNegativePositiveTotalsLiquid prepared RB antigenTest positive126072freeze- dried RB antigenTest positive116071Test negative23023Test negative24024Totals356095Totals356095Table 5. Sensitivity of I-ELISA tests against CFT as a Gold Standard testCFTNegativePositiveTotalsELISAPositive104858Negative251237Totals356095 The reactors’ agreement with the reference test (CFT) was 57 (60%) for LRB and FDRB, 60 (63.16%) for LBAPA and FDBAPA, and 73 (76.84%) for I-ELISA (Fig. 2 and 3).A Venn diagram (Fig. 2) expressed in detail the agreement of positive results among CFT, LRB, FDRB, and ELISA. There was no positive case detected by CFT. Both RB antigens detected 4 positive cases, single positive case was detected by LRB and ELISA, and 3 positive cases were detected by ELISA. While A Venn diagram (Fig. 3) expressed in detail the agreement of positive results among CFT, LBAPA, FDBAPA, and ELISA. AUROC values were 0.818, 0.832, 0.757, 0.785, and 0.789 for LRB, FDRB, ELISA, LBAPA, and FDBAPBA, respectively (Fig. 4 and 5 and Table 6). The ROC curve showed similar specificity and sensitivity as the in-house prepared antigens and the ELISA assay by using the cut-off points with consideration of CFT as the gold standard. The AUC analysis of all slide agglutination tests and I-ELISA ranged between 75.7 and 83.2%. The highest AUROC values were for FDRB, which indicated its good efficiency in the diagnosis of brucellosis, while the lowest AUROC was for I-ELISA. Тhe AUROC values for LRB, FDBAPA, and LBAPA were 81.8, 78.9, and 78.5%, respectively. Based on the ROC curve, the difference between the two rose Bengal and the two BAPA antigens was 0.014 and 0.004, respectively. These differences were non-significant. Rose Bengal had higher accuracy than BAPA and ELISA.Table 6. Area under the curveTest result Variable(s)Asymptotic 95% Confidence intervalAreaStd. erroraLower boundUpper boundLRB0.818.0510.7180.918FDRB0.832.0490.7350.929ELISA0.757.0540.6520.862LBAPA0.785.0530.6810.889FDBAPBA0.789.0540.6840.895Diagnostic performance characteristics, including sensitivity, relative sensitivity, relative specificity, prevalence, true positive, false positive, true negative, false negative, NPV, FPR, FDR, FNR, accuracy, MCC, LR+, and LR- ,were calculated as shown in Table 7. Table 7. Diagnostic performance characteristics of LRB, FDRB, LBAPA, FDBAPB, and ELISA testsDiagnostic performance parameters95% Confidence intervalLiquid prepared RB antigenFreeze- dried RB antigenLiquid prepared BAPA antigenFreeze- dried BAPA antigenI-ELISAPrevalence0.6315790.6210530.6315790.6315790.631579Relative sensitivity0.9500000.9491531.0000001.0000000.800000Relative specificity0.6857140.6944440.6571430.6857140.714300Positive0.7157890.7052630.7578950.7473680.610526Negative0.2842110.2947370.2421050.2526320.389474True positive (Positive predictive value or precision)0.8382350.8358210.8333330.8450700.827586False positive0.1617650.1641790.1666670.1549300.172414True negative (Negative predictive value, NPV)0.8888890.8928571.0000001.0000000.675676False negative0.1111110.1071430.0000000.0000000.324324Negative predictive value0.8889000.8929001.0000001.0000000.675700False positive rate (FPR)0.3143000.3056000.3429000.3143000.285700False discovery rate (FDR)0.1618000.1642000.1667000.1549000.172400False negative rate (FNR)0.0500000.0508000.0000000.0000000.200000Accuracy0.8526000.8526000.8737000.8842000.768400F1 Score0.8906000.8889000.9091000.9160000.813600Matthews Correlation Coefficient (MCC)0.6799000.6848000.7400000.7612000.508700Likelihood ratio of positive results (LR+)3.0250003.1010002.9150003.1850002.797000Likelihood ratio of negative results (LR-)0.0730000.0730000.0000000.0000000.280000Anyhow, I-ELISA showed the highest percentage of false positive, false negatives and false discovery rate of false negative rates, which had a negative impact on the accuracy of diagnostic results, while the others had a positive impact and increased sensitivity and specificity of these tests with more accurate results. Results revealed that freeze-dried and liquid-prepared antigens were with approximately the same diagnostic performance characteristics and showed no significant difference. Physicochemical tests and short-term stability The obtained results indicated that there was no collapse (shrinkage) of lyophilized dry cake in the bottles. Both antigen batches were stable and fulfilled the recommended specifications described by Blasco (18) with no evidence of increased moisture content. This stability was observed 5 months post-production. Lyophilized antigens showed good solubility in acidic (lactic acid) diluent under negative pressure (vacuum) observed throughout longer period. The intensity of the red and blue color stains of rose Bengal and BAPA antigens was stable and suitable for the test. Also, the PCV after reconstitution of the recommended volume of diluents was about 8% and 11% for RB and BAPA antigens, respectively. There was no autoagglutination observed between the control and field Brucella-positive and Brucella-negative sera.</p>
			<fig id="F5" position="float">
				<label>Figure 5</label>
				<caption>
					<p>Receiver Operating Characteristic (ROC) graph for BAPA test using liquid prepared BAPA antigen and freeze-dried BAPA antigen for detection of Brucella antibodies in bovine sera</p>
				</caption>
				<graphic xlink:href="macvetrev-2026-0016-g005.tif"/>
			</fig>
			<fig id="F4" position="float">
				<label>Figure 4</label>
				<caption>
					<p>Receiver Operating Characteristic (ROC) graph for RBT using liquid prepared RB antigen and freeze-dried RB antigen for detection of Brucella antibodies in bovine sera</p>
				</caption>
				<graphic xlink:href="macvetrev-2026-0016-g004.tif"/>
			</fig>
			<fig id="F3" position="float">
				<label>Figure 3</label>
				<caption>
					<p>Venn diagram-agreement between serological test findings and CFT (A=CFT, B=LBAPA, C=FDBAPA, D=ELISA)</p>
				</caption>
				<graphic xlink:href="macvetrev-2026-0016-g003.tif"/>
			</fig>
			<fig id="F2" position="float">
				<label>Figure 2</label>
				<caption>
					<p>Venn diagram-agreement between serological test findings and CFT (A=CFT, B=LRB, C=FDRB, D=ELISA)</p>
				</caption>
				<graphic xlink:href="macvetrev-2026-0016-g002.tif"/>
			</fig>
			<fig id="F1" position="float">
				<label>Figure 1</label>
				<caption>
					<p>Linearity-dilution effect of ELISA</p>
				</caption>
				<graphic xlink:href="macvetrev-2026-0016-g001.tif"/>
			</fig>

			<table-wrap id="T7" position="float">
				<label>Table 7</label>
				<caption>
					<p>Diagnostic performance characteristics of LRB, FDRB, LBAPA, FDBAPB, and ELISA tests</p>
				</caption>
				<table frame="hsides" rules="groups">
					<thead>
						<tr>
							<th align="left" valign="middle">Diagnostic performance parameters</th>
							<th align="left" valign="middle">Liquid prepared RB antigen</th>
							<th align="left" valign="middle">Freeze- dried RB antigen</th>
							<th align="left" valign="middle">Liquid prepared BAPA antigen</th>
							<th align="left" valign="middle">Freeze- dried BAPA antigen</th>
							<th align="left" valign="middle">I-ELISA</th>
						</tr>
					</thead>
					<tbody>
						<tr>
							<td align="left" valign="middle">Prevalence</td>
							<td align="center" valign="middle">0.631579</td>
							<td align="center" valign="middle">0.621053</td>
							<td align="center" valign="middle">0.631579</td>
							<td align="center" valign="middle">0.631579</td>
							<td align="center" valign="middle">0.631579</td>
						</tr>
						<tr>
							<td align="left" valign="middle">Relative sensitivity</td>
							<td align="center" valign="middle">0.950000</td>
							<td align="center" valign="middle">0.949153</td>
							<td align="center" valign="middle">1.000000</td>
							<td align="center" valign="middle">1.000000</td>
							<td align="center" valign="middle">0.800000</td>
						</tr>
						<tr>
							<td align="left" valign="middle">Relative specificity</td>
							<td align="center" valign="middle">0.685714</td>
							<td align="center" valign="middle">0.694444</td>
							<td align="center" valign="middle">0.657143</td>
							<td align="center" valign="middle">0.685714</td>
							<td align="center" valign="middle">0.714300</td>
						</tr>
						<tr>
							<td align="left" valign="middle">Positive</td>
							<td align="center" valign="middle">0.715789</td>
							<td align="center" valign="middle">0.705263</td>
							<td align="center" valign="middle">0.757895</td>
							<td align="center" valign="middle">0.747368</td>
							<td align="center" valign="middle">0.610526</td>
						</tr>
						<tr>
							<td align="left" valign="middle">Negative</td>
							<td align="center" valign="middle">0.284211</td>
							<td align="center" valign="middle">0.294737</td>
							<td align="center" valign="middle">0.242105</td>
							<td align="center" valign="middle">0.252632</td>
							<td align="center" valign="middle">0.389474</td>
						</tr>
						<tr>
							<td align="left" valign="middle">True positive (Positive predictive value or precision)</td>
							<td align="center" valign="middle">0.838235</td>
							<td align="center" valign="middle">0.835821</td>
							<td align="center" valign="middle">0.833333</td>
							<td align="center" valign="middle">0.845070</td>
							<td align="center" valign="middle">0.827586</td>
						</tr>
						<tr>
							<td align="left" valign="middle">False positive</td>
							<td align="center" valign="middle">0.161765</td>
							<td align="center" valign="middle">0.164179</td>
							<td align="center" valign="middle">0.166667</td>
							<td align="center" valign="middle">0.154930</td>
							<td align="center" valign="middle">0.172414</td>
						</tr>
						<tr>
							<td align="left" valign="middle">True negative (Negative predictive value, NPV)</td>
							<td align="center" valign="middle">0.888889</td>
							<td align="center" valign="middle">0.892857</td>
							<td align="center" valign="middle">1.000000</td>
							<td align="center" valign="middle">1.000000</td>
							<td align="center" valign="middle">0.675676</td>
						</tr>
						<tr>
							<td align="left" valign="middle">False negative</td>
							<td align="center" valign="middle">0.111111</td>
							<td align="center" valign="middle">0.107143</td>
							<td align="center" valign="middle">0.000000</td>
							<td align="center" valign="middle">0.000000</td>
							<td align="center" valign="middle">0.324324</td>
						</tr>
						<tr>
							<td align="left" valign="middle">Negative predictive value</td>
							<td align="center" valign="middle">0.888900</td>
							<td align="center" valign="middle">0.892900</td>
							<td align="center" valign="middle">1.000000</td>
							<td align="center" valign="middle">1.000000</td>
							<td align="center" valign="middle">0.675700</td>
						</tr>
						<tr>
							<td align="left" valign="middle">False positive rate (FPR)</td>
							<td align="center" valign="middle">0.314300</td>
							<td align="center" valign="middle">0.305600</td>
							<td align="center" valign="middle">0.342900</td>
							<td align="center" valign="middle">0.314300</td>
							<td align="center" valign="middle">0.285700</td>
						</tr>
						<tr>
							<td align="left" valign="middle">False discovery rate (FDR)</td>
							<td align="center" valign="middle">0.161800</td>
							<td align="center" valign="middle">0.164200</td>
							<td align="center" valign="middle">0.166700</td>
							<td align="center" valign="middle">0.154900</td>
							<td align="center" valign="middle">0.172400</td>
						</tr>
						<tr>
							<td align="left" valign="middle">False negative rate (FNR)</td>
							<td align="center" valign="middle">0.050000</td>
							<td align="center" valign="middle">0.050800</td>
							<td align="center" valign="middle">0.000000</td>
							<td align="center" valign="middle">0.000000</td>
							<td align="center" valign="middle">0.200000</td>
						</tr>
						<tr>
							<td align="left" valign="middle">Accuracy</td>
							<td align="center" valign="middle">0.852600</td>
							<td align="center" valign="middle">0.852600</td>
							<td align="center" valign="middle">0.873700</td>
							<td align="center" valign="middle">0.884200</td>
							<td align="center" valign="middle">0.768400</td>
						</tr>
						<tr>
							<td align="left" valign="middle">F1 Score</td>
							<td align="center" valign="middle">0.890600</td>
							<td align="center" valign="middle">0.888900</td>
							<td align="center" valign="middle">0.909100</td>
							<td align="center" valign="middle">0.916000</td>
							<td align="center" valign="middle">0.813600</td>
						</tr>
						<tr>
							<td align="left" valign="middle">Matthews Correlation Coefficient (MCC)</td>
							<td align="center" valign="middle">0.679900</td>
							<td align="center" valign="middle">0.684800</td>
							<td align="center" valign="middle">0.740000</td>
							<td align="center" valign="middle">0.761200</td>
							<td align="center" valign="middle">0.508700</td>
						</tr>
						<tr>
							<td align="left" valign="middle">Likelihood ratio of positive results (LR+)</td>
							<td align="center" valign="middle">3.025000</td>
							<td align="center" valign="middle">3.101000</td>
							<td align="center" valign="middle">2.915000</td>
							<td align="center" valign="middle">3.185000</td>
							<td align="center" valign="middle">2.797000</td>
						</tr>
						<tr>
							<td align="left" valign="middle">Likelihood ratio of negative results (LR-)</td>
							<td align="center" valign="middle">0.073000</td>
							<td align="center" valign="middle">0.073000</td>
							<td align="center" valign="middle">0.000000</td>
							<td align="center" valign="middle">0.000000</td>
							<td align="center" valign="middle">0.280000</td>
						</tr>
					</tbody>
				</table>
				<table-wrap-foot>
					<p>95% Confidence interval</p>
				</table-wrap-foot>
			</table-wrap>

			<table-wrap id="T6" position="float">
				<label>Table 6</label>
				<caption>
					<p>Area under the curve</p>
				</caption>
				<table frame="hsides" rules="groups">
					<thead>
						<tr>
							<th align="left" valign="middle">Test result Variable(s)</th>
							<th align="left" valign="middle">Area</th>
							<th align="left" valign="middle">Std. errora</th>
							<th align="left" valign="middle">Asymptotic 95% Confidence interval Lower bound</th>
							<th align="left" valign="middle">Upper bound</th>
						</tr>
					</thead>
					<tbody>
						<tr>
							<td align="left" valign="middle">LRB</td>
							<td align="center" valign="middle">0.818</td>
							<td align="center" valign="middle">.051</td>
							<td align="center" valign="middle">0.718</td>
							<td align="center" valign="middle">0.918</td>
						</tr>
						<tr>
							<td align="left" valign="middle">FDRB</td>
							<td align="center" valign="middle">0.832</td>
							<td align="center" valign="middle">.049</td>
							<td align="center" valign="middle">0.735</td>
							<td align="center" valign="middle">0.929</td>
						</tr>
						<tr>
							<td align="left" valign="middle">ELISA</td>
							<td align="center" valign="middle">0.757</td>
							<td align="center" valign="middle">.054</td>
							<td align="center" valign="middle">0.652</td>
							<td align="center" valign="middle">0.862</td>
						</tr>
						<tr>
							<td align="left" valign="middle">LBAPA</td>
							<td align="center" valign="middle">0.785</td>
							<td align="center" valign="middle">.053</td>
							<td align="center" valign="middle">0.681</td>
							<td align="center" valign="middle">0.889</td>
						</tr>
						<tr>
							<td align="left" valign="middle">FDBAPBA</td>
							<td align="center" valign="middle">0.789</td>
							<td align="center" valign="middle">.054</td>
							<td align="center" valign="middle">0.684</td>
							<td align="center" valign="middle">0.895</td>
						</tr>
					</tbody>
				</table>
			</table-wrap>

			<table-wrap id="T5" position="float">
				<label>Table 5</label>
				<caption>
					<p>Sensitivity of I-ELISA tests against CFT as a Gold Standard test</p>
				</caption>
				<table frame="hsides" rules="groups">
					<thead>
						<tr>
							<th align="left" valign="middle"></th>
							<th align="left" valign="middle">CFT</th>
							<th align="left" valign="middle">Negative</th>
							<th align="left" valign="middle">Positive</th>
							<th align="left" valign="middle">Totals</th>
						</tr>
					</thead>
					<tbody>
						<tr>
							<td align="left" valign="middle">ELISA</td>
							<td align="center" valign="middle">Positive</td>
							<td align="center" valign="middle">10</td>
							<td align="center" valign="middle">48</td>
							<td align="center" valign="middle">58</td>
						</tr>
						<tr>
							<td align="left" valign="middle"></td>
							<td align="center" valign="middle">Negative</td>
							<td align="center" valign="middle">25</td>
							<td align="center" valign="middle">12</td>
							<td align="center" valign="middle">37</td>
						</tr>
						<tr>
							<td align="left" valign="middle">Totals</td>
							<td align="center" valign="middle"></td>
							<td align="center" valign="middle">35</td>
							<td align="center" valign="middle">60</td>
							<td align="center" valign="middle">95</td>
						</tr>
					</tbody>
				</table>
			</table-wrap>

			<table-wrap id="T4" position="float">
				<label>Table 4</label>
				<caption>
					<p>Sensitivity of BAPA test using liquid prepared BAPA antigen and freeze-dried BAPA antigen against CFT as a Gold Standard test</p>
				</caption>
				<table frame="hsides" rules="groups">
					<thead>
						<tr>
							<th align="left" valign="middle"></th>
							<th align="left" valign="middle"></th>
							<th align="left" valign="middle">CFT</th>
							<th align="left" valign="middle">CFT</th>
							<th align="left" valign="middle"></th>
							<th align="left" valign="middle">Totals</th>
							<th align="left" valign="middle">Negative</th>
							<th align="left" valign="middle">Positive</th>
						</tr>
					</thead>
					<tbody>
						<tr>
							<td align="left" valign="middle">Liquid prepared RB antigen</td>
							<td align="center" valign="middle">Test positive</td>
							<td align="center" valign="middle">1</td>
							<td align="center" valign="middle">26</td>
							<td align="center" valign="middle">07</td>
							<td align="center" valign="middle">2</td>
							<td align="center" valign="middle"></td>
							<td align="center" valign="middle"></td>
						</tr>
						<tr>
							<td align="left" valign="middle">freeze- dried RB antigen</td>
							<td align="center" valign="middle">Test positive</td>
							<td align="center" valign="middle">1</td>
							<td align="center" valign="middle">16</td>
							<td align="center" valign="middle">07</td>
							<td align="center" valign="middle">1</td>
							<td align="center" valign="middle"></td>
							<td align="center" valign="middle"></td>
						</tr>
						<tr>
							<td align="left" valign="middle"></td>
							<td align="center" valign="middle">Test negative</td>
							<td align="center" valign="middle">2</td>
							<td align="center" valign="middle">30</td>
							<td align="center" valign="middle">23</td>
							<td align="center" valign="middle"></td>
							<td align="center" valign="middle"></td>
							<td align="center" valign="middle"></td>
						</tr>
						<tr>
							<td align="left" valign="middle"></td>
							<td align="center" valign="middle">Test negative</td>
							<td align="center" valign="middle">2</td>
							<td align="center" valign="middle">40</td>
							<td align="center" valign="middle">24</td>
							<td align="center" valign="middle"></td>
							<td align="center" valign="middle"></td>
							<td align="center" valign="middle"></td>
						</tr>
						<tr>
							<td align="left" valign="middle"></td>
							<td align="center" valign="middle">Totals</td>
							<td align="center" valign="middle">3</td>
							<td align="center" valign="middle">56</td>
							<td align="center" valign="middle">09</td>
							<td align="center" valign="middle">5</td>
							<td align="center" valign="middle"></td>
							<td align="center" valign="middle"></td>
						</tr>
					</tbody>
				</table>
				<table-wrap-foot>
					<p>Note: Table structure is complex in text, parsed best-effort</p>
				</table-wrap-foot>
			</table-wrap>

			<table-wrap id="T3" position="float">
				<label>Table 3</label>
				<caption>
					<p>Sensitivity of RBT using liquid prepared RB antigen and freeze-dried RB antigen against CFT as a reference test</p>
				</caption>
				<table frame="hsides" rules="groups">
					<thead>
						<tr>
							<th align="left" valign="middle"></th>
							<th align="left" valign="middle"></th>
							<th align="left" valign="middle">CFT</th>
							<th align="left" valign="middle">CFT</th>
							<th align="left" valign="middle"></th>
							<th align="left" valign="middle">Totals</th>
							<th align="left" valign="middle">Negative</th>
							<th align="left" valign="middle">Positive</th>
						</tr>
					</thead>
					<tbody>
						<tr>
							<td align="left" valign="middle">Liquid prepared RB antigen</td>
							<td align="center" valign="middle">Test positive</td>
							<td align="center" valign="middle">1</td>
							<td align="center" valign="middle">15</td>
							<td align="center" valign="middle">76</td>
							<td align="center" valign="middle">8</td>
							<td align="center" valign="middle"></td>
							<td align="center" valign="middle"></td>
						</tr>
						<tr>
							<td align="left" valign="middle">freeze- dried RB antigen</td>
							<td align="center" valign="middle">Test positive</td>
							<td align="center" valign="middle">1</td>
							<td align="center" valign="middle">05</td>
							<td align="center" valign="middle">76</td>
							<td align="center" valign="middle">7</td>
							<td align="center" valign="middle"></td>
							<td align="center" valign="middle"></td>
						</tr>
						<tr>
							<td align="left" valign="middle"></td>
							<td align="center" valign="middle">Test negative</td>
							<td align="center" valign="middle">2</td>
							<td align="center" valign="middle">43</td>
							<td align="center" valign="middle">27</td>
							<td align="center" valign="middle"></td>
							<td align="center" valign="middle"></td>
							<td align="center" valign="middle"></td>
						</tr>
						<tr>
							<td align="left" valign="middle"></td>
							<td align="center" valign="middle">Test negative</td>
							<td align="center" valign="middle">2</td>
							<td align="center" valign="middle">53</td>
							<td align="center" valign="middle">28</td>
							<td align="center" valign="middle"></td>
							<td align="center" valign="middle"></td>
							<td align="center" valign="middle"></td>
						</tr>
						<tr>
							<td align="left" valign="middle"></td>
							<td align="center" valign="middle">Totals</td>
							<td align="center" valign="middle">3</td>
							<td align="center" valign="middle">56</td>
							<td align="center" valign="middle">09</td>
							<td align="center" valign="middle">5</td>
							<td align="center" valign="middle"></td>
							<td align="center" valign="middle"></td>
						</tr>
					</tbody>
				</table>
				<table-wrap-foot>
					<p>Note: Table structure is complex in text, parsed best-effort</p>
				</table-wrap-foot>
			</table-wrap>

			<table-wrap id="T2" position="float">
				<label>Table 2</label>
				<caption>
					<p>Intra-assay precision of ELISA</p>
				</caption>
				<table frame="hsides" rules="groups">
					<thead>
						<tr>
							<th align="left" valign="middle">Mean of sample</th>
							<th align="left" valign="middle">SD</th>
							<th align="left" valign="middle">CV%</th>
							<th align="left" valign="middle">Result</th>
						</tr>
					</thead>
					<tbody>
						<tr>
							<td align="left" valign="middle">0.1100</td>
							<td align="center" valign="middle">0.005657</td>
							<td align="center" valign="middle">5.142595</td>
							<td align="center" valign="middle">-ve</td>
						</tr>
						<tr>
							<td align="left" valign="middle">0.1265</td>
							<td align="center" valign="middle">0.006364</td>
							<td align="center" valign="middle">5.030799</td>
							<td align="center" valign="middle">-ve</td>
						</tr>
						<tr>
							<td align="left" valign="middle">1.2945</td>
							<td align="center" valign="middle">0.067175</td>
							<td align="center" valign="middle">5.189273</td>
							<td align="center" valign="middle">+ve</td>
						</tr>
						<tr>
							<td align="left" valign="middle">1.1715</td>
							<td align="center" valign="middle">0.086974</td>
							<td align="center" valign="middle">7.424169</td>
							<td align="center" valign="middle">+ve</td>
						</tr>
						<tr>
							<td align="left" valign="middle">2.2590</td>
							<td align="center" valign="middle">0.169706</td>
							<td align="center" valign="middle">7.512423</td>
							<td align="center" valign="middle">+ve</td>
						</tr>
						<tr>
							<td align="left" valign="middle">2.9595</td>
							<td align="center" valign="middle">0.024749</td>
							<td align="center" valign="middle">0.836247</td>
							<td align="center" valign="middle">+ve</td>
						</tr>
					</tbody>
				</table>
				<table-wrap-foot>
					<p>(coeffecient of variation (CV) % should be &lt;10)</p>
				</table-wrap-foot>
			</table-wrap>

			<table-wrap id="T1" position="float">
				<label>Table 1</label>
				<caption>
					<p>Specificity (cross reactivity) of ELISA</p>
				</caption>
				<table frame="hsides" rules="groups">
					<thead>
						<tr>
							<th align="left" valign="middle">Serum type</th>
							<th align="left" valign="middle">Result</th>
						</tr>
					</thead>
					<tbody>
						<tr>
							<td align="left" valign="middle">Anti Yersinia enterocolitica O9</td>
							<td align="center" valign="middle">Negative</td>
						</tr>
						<tr>
							<td align="left" valign="middle">Anti E. coli O157</td>
							<td align="center" valign="middle">Negative</td>
						</tr>
						<tr>
							<td align="left" valign="middle">Anti Brucella</td>
							<td align="center" valign="middle">POSITIVE</td>
						</tr>
						<tr>
							<td align="left" valign="middle">Control positive</td>
							<td align="center" valign="middle">POSITIVE</td>
						</tr>
						<tr>
							<td align="left" valign="middle">Control negative</td>
							<td align="center" valign="middle">Negative</td>
						</tr>
					</tbody>
				</table>
			</table-wrap>
			</sec>
		</sec>
		<sec>
			<title>DISCUSSION</title>
			<p>Brucellosis is one of the most important worldwide zoonotic diseases affecting the public health and economy. The prevalence of the disease is related to numerous factors. The capability of a country to finance prevention, the implementation of control programs, and the hygienic management practices of the farm are considered among the most significant factors affecting the prevalence. As clinical signs are not characteristic for the disease, it is mainly diagnosed by utilizing laboratory methods which are based on isolation of the etiological agents on specific media and identification by biochemical, morphological, serological, and culture methods. The most common molecular diagnostic method is the BRUCELADDER assay, which is based on genetic identification. However, the gold standard for laboratory diagnosis of brucellosis is isolation and identification of the bacteria. The serological detection of specific antibodies in bovine and ovine samples is commonly performed by Rose Bengal Plate Test (RBPT) and Complement Fixation Test (CFT) which are commonly accepted in the global animal trade (8). CFT is used as a gold standard test in the absence of isolation and identification of the causative agent (17). The joint FAO/WHO expert committee on brucellosis has supported the use of the RBPT as a pilot screening test for the diagnosis of B. melitensis infection in sheep and goats (9, 18, 19). RBPT is a commonly used approach for diagnosis and for determining the prevalence since it is affordable, reliable, and quick (20).More than 30 years ago, the RB test was created and used for diagnosis of bovine brucellosis. The standardization of the antigen and the used strain is a significant factor that affects the sensitivity of the slide agglutination test. According to the EU regulations (Council Directive 64/432/EEC, 1964), The International Standard anti-B. abortus serum (ISaBS) must be diluted 1:47.5 (21 IU/mL) in acidic lactate buffer at pH 3.65 ± 0.05 to achieve positive agglutination. Dilution rates of 1:55 (18.2 IU/mL) are used to produce negative reaction.The antigen standardization for the American Rose Bengal antigen and BAPA relies on the packed cell volume (PCV) which must be 8% and 11%, respectively (10, 21). These standardization conditions appear to be appropriate for the diagnosis of B. abortus infection in cattle. However, they also limit the sensitivity of the test, which results in decreased performance for the diagnosis of B. melitensis infection in sheep (9, 18).This clarifies that some commercial RB antigens have a relatively low sensitivity for diagnosing brucellosis in sheep and goats (9, 18). It also explains why a large percentage of sheep and goats from B. melitensis-infected areas have negative RB test results but positive CF test results (9). These events have prompted serious concerns about the effectiveness of the RB as a standalone test in small ruminants. The RBPT is an internationally recognized test for screening of brucellosis by identifying particular IgG antibodies, and to a lesser extent IgM (the acidity of the Rose Bengal antigen breaks down the disulfide bond in IgM) (22, 23). The test is straightforward and easy to conduct, and it doesn&amp;apos;t require any specialized laboratory facilities. Positive results need to be confirmed by CFT or ELISA because it is a qualitative test only (24, 25).This study established very good agreement between lyophilized and liquid-prepared slide agglutination antigens. The agreement is determined by diagnostic performance parameters and the area under the curve (AUC) in ROC.ELISA showed higher specificity than RB and BAPA tests. These findings are in partial agreement with the reports by Legesse and Šerić-Haračić (26, 27). RB and BAPA showed higher sensitivity than ELISA in the current study compared to these reports. This difference could be explained as a result of a different approach for preparing the agglutination antigens. The referenced reports were preparing them for routine monitoring, and the antigens for the current study were prepared for validation purposes from bovine sera which were tested before being utilized for the production of the Rose Bengal antigen. However, it should be noted that high sensitivity may be attributed to false-positive findings as a result of cross-reactivity between antibodies against Yersinia enterocolitica type 0.9 and Escherichia coli 0:157H, or other gram-negative bacteria that possess O-side chain lipopolysaccharide identical to that of smooth Brucella species.Anyhow, three different diluents were used in this research article during freeze-drying; the first were Rose Bengal and BAPA diluent buffers (10), the second was PBS, and the third was stabilizer according to Angus (11). Poor stability was observed with diluent buffer and PBS manifested as lyophilized cake and strong auto-agglutination one month post lyophilization. High stability was observed when using stabilizer which achieved reconstitution of the diluent buffer. The Stability Study is performed to assess the capacity of biological products to retain its physical, chemical, biological, and microbiological properties throughout its shelf life (28).Lyophilized antigens are a combination of chemical (non-biological) and biological ingredients that are sensitive to numerous environmental factors and changes in the chemical components. The stability of lyophilized products could be influenced by numerous factors, such as the composition of the stabilizer, reconstitution diluents, heavy water, the process and equipment used in the production, lyophilization programs, the cold chain used for storage and maintenance, and the products’ transportation (29). In this study, short-term stability was carried out along 5 months after the production of the lyophilized antigens by utilizing Roux bottle methods as described in OIE and Alton (8, 10). Other factors are the reconstitution process and diluents as well as storage conditions, which are important to establish the shelf life (expiry) (30). All stability parameters were valid, which suggests long-term stability. Commercial Rose Bengal antigen had an expiry date of about one year, while this study suggests that freeze-dried antigens can stay with long stability for years, if stored in lyophilized state without reconstitution. This finding should be confirmed with long-term stability studies.</p>
		</sec>
		<sec>
			<title>CONCLUSION</title>
			<p>It is concluded that the newly prepared freeze-dried slide agglutination antigens were approximately as efficient as traditionally prepared antigens by considering the sensitivity and specificity for detection of brucellosis. The high short-term stability suggests that they may be stored safely and could be used reliably during emergency or other types of disease outbreaks. Anyhow, further investigation and examination in the context of long-term stability have to be done to determine the duration of stability and expiry date (shelf life), which is one of the goals of this method of production: to be capable of storing this antigen for a long period while keeping its diagnostic potential.</p>
		</sec>
	</body>
	<back>
		<sec>
			<title>CONFLICT OF INTEREST</title>
			<p>The authors declare that they have no financial or non-financial conflict of interest regarding authorship and publication of this article.</p>
		</sec>
		<ack>
			<title>ACKNOWLEDGMENTS</title>
			<p>The authors acknowledge the Central Laboratory for Evaluation of Veterinary Biologics (CLEVB) and Veterinary Serum and Vaccine Research Institute (VSVRI) for their cooperation.</p>
		</ack>
		<sec>
			<title>AUTHORS’ CONTRIBUTION</title>
			<p>LFF formulated and designed the study. MAE, MSD, and LFF were included in experimentation and laboratory work. WSS and AMM collected reviews, followed up the work and interpretations. WSS supervised and wrote the original manuscript. MAE edited and revised the manuscript. All authors have read and approved the final manuscript. REFERENCES1. González-Barrientos, R., Hernández-Mora, G. (2023). Chapter 83-marine brucellosis. Fowler&amp;apos;s Zoo Wild Anim Med Curr Ther. 10, 573-580.https://doi.org/10.1016/B978-0-323-82852-9.00083-62. Scholz, H.C., Heckers, K.O., Appelt, S., Geier-Dömling, D., Schlegel, P., Wattam, A.R. (2023). Isolation of Brucella inopinata from a White&amp;apos;s tree frog (Litoria caerulea): pose exotic frogs a potential risk to human health? Front Microbiol. 14, 1173252.https://doi.org/10.3389/fmicb.2023.1173252PMid:37362939 PMCid:PMC10285381 3. Hubálek, Z., Křivanová, A., Nesvadbová, J., Rudolf, I. (2023). Zoonotic potential of Brucella microti. Vector Borne Zoonotic Dis. 23(8): 437-439.https://doi.org/10.1089/vbz.2022.0085PMid:37367199 4. Freddi, L., De la Garza-García, J.A., Al Dahouk, S., Occhialini, A., Köhler, S. (2023). Brucella spp. are facultative anaerobic bacteria under denitrifying conditions. Microbiol Spectr. 11(6): e0276723.https://doi.org/10.1128/spectrum.02767-23PMid:37882559 PMCid:PMC10714718 5. Mohamed, N.S., Stephen, M.B., Nammalwar S. (2010). Brucellosis: a re-emerging zoonosis, Vet Microbiol. 140(3-4): 392-398.https://doi.org/10.1016/j.vetmic.2009.06.021PMid:19604656 6. El Jaouhari, M., Striha, M., Edjoc, R., Bonti-Ankomah, S. (2022). Laboratory-acquired infections in Canada from 2016 to 2021. Can Commun Dis Rep. 48(7/8): 303-307.https://doi.org/10.14745/ccdr.v48i78a02PMid:37334256 PMCid:PMC10275617 7. Erazo, K.V., Ramon, R., Moreira, J.M., Morejón, F.B. (2024). Study of the prevalence of bovine brucellosis (Brucella abortus) in general Proaño Parish: evaluation using Rose Bengal test and confirmation through competitive ELISA. J Pure Appl Microbiol. 18(3): 2113-2120.https://doi.org/10.22207/JPAM.18.3.608. OIE (2018): Manual of diagnostic tests and vaccines for terrestrial animals (mammals, birds and bees).http://www.oie.int/conferences-events/other-oie-key-events/2008/ 9. Blasco, J.M., Garin-Bastuji, B., Marin, C.M., Gerbier, G., Fanlo, J., Jiménez de Bagués, M.P., Cau, C. (1994). Efficacy of different Rose Bengal and complement fixation antigens for the diagnosis of Brucella melitensis infection in sheep and goats. Vet Rec. 134(16): 415-420.https://doi.org/10.1136/vr.134.16.415PMid:8036772 10. Alton, G.G., Jones, L.M., Angus, R.D., Verger, J.M. (1988). Techniques for the Brucellosis Laboratory. Cedex: INRA Publications , 192 pp. 11. Angus, R.D. (1984). An evaluation of the stability of Brucella abortus strain 19 reduced dosage lyophilized vaccines produced by different methods. Dev Biol Stand. 56, 659-578. 12. British Pharmacopoeia (2012). Published by The Stationery Office on behalf of the Medicines and Healthcare products Regulatory Agency (MHRA), 4: (pp. 3631-3632). London. 13. Hasannia, E., Soleimani, S., Alamian, S., Behrozikhah, A., Emadi, A., Dostdari, S. (2015). Stability study of Iriba brucellosis full-dose and reduced-dose vaccine produced by Razi Institute in Iran. Arch Razi Inst. 70(1): 37-44. 14. Plackett, P., Cottew, G.S., Best, S.J. (1976). An indirect haemolysis test (IHLT) for bovine brucellosis. Aust Vet J. 52(3):136-140.https://doi.org/10.1111/j.1751-0813.1976.tb05448.xPMid:985227 15. Hennager, S.G. (2004). Reagent production protocol-guinea pig complement preparation for the complement fixation test. USDA, APHIS, National Veterinary Services Laboratories (NVSL), Ames, IA, USA. 16. Hennager, S.G. (2015). SOP - complement fixation test for detection of antibodies to Brucella abortus and Brucella suis. USDA, APHIS, National Veterinary Services Laboratories (NVSL), Ames, IA, USA. 17. Roushdy, C.M., Moustafa, A.M.M., Abdelwahab, M.G., Ibrahim, F.K., El-bauomy, E.M. (2021). Latex agglutination: a rapid, specific immunoassay for diagnosis of ruminant brucellosis. Adv Anim Vet Sci. 9(9): 1292-1301.https://doi.org/10.17582/journal.aavs/2021/9.9.1292.130118. Blasco, J.M., Marín, C., Jiménez de Bagués, M., Barberán, M., Hernández, A., Molina, L., Velasco, J., Díaz, R., Moriyón, I. (1994). Evaluation of allergic and serological tests for diagnosing Brucella melitensis infection in sheep. J Clin Microbiol. 32(8): 1835-1840.https://doi.org/10.1128/jcm.32.8.1835-1840.1994PMid:7989528 PMCid:PMC263887 19. Mikolon, A.B., Gardner, I.A., Hietala, S.K., Hernandez de Anda, J., Chamizo Pestaña, E., Hennager, S.G., Edmondson, A.J. (1998). Evaluation of North American antibody detection tests for diagnosis of brucellosis in goats. J Clin Microbiol. 36(6): 1716-1722.https://doi.org/10.1128/JCM.36.6.1716-1722.1998PMid:9620406 PMCid:PMC104906 20. Erganiş, O., Hadimli, H., Solmaz, H., Corlu, M. (2005). Comparison of Rose Bengal plate test antigens prepared from Brucella abortus, Brucella melitensis and Brucella suis. Bull Vet Inst Pulawy. 49, 165-167. 21. MacMillan, A. (1990). Conventional serological tests. In: K. Nielsen, J.R. Duncan, (Eds.). Animal Brucellosis (1st Ed.) (pp. 153-198). Boca Raton: CRC Press 22. World Health Organization (1986). Joint FAO/WHO Expert Committee on Brucellosis: Sixth Report. WHO Technical Reports Series, No. 740, WHO, Geneva. 23. Garin-Bastuji, B., Blasco, J.M. (1997). Caprine and ovine brucellosis (excluding B. ovis infection). In: Manual of standards for diagnostic tests and vaccines (Third ed.), (pp. 350-368). Paris:OIE. 24. Athira, K., Shyma, V.H., Justin, K.D., Vijayakumar, K., Jayakumar, C., Greeshma, J. (2023). Diagnosis of canine brucellosis using Rose Bengal plate test. J Vet Anim Sci. 54(2): 544-551.https://doi.org/10.51966/jvas.2023.54.2.544-55125. Loubet, P., Magnan, C., Salipante, F., Pastre, T., Keriel, A., O&amp;apos;Callaghan, D., Sotto, A., Lavigne, J.P. (2024). Diagnosis of brucellosis: combining tests to improve performance. PLoS Negl Trop Dis. 18(9): e0012442.https://doi.org/10.1371/journal.pntd.0012442PMid:39236075 PMCid:PMC11407618 26. Legesse, A., Mekuriaw, A., Gelaye, E., Abayneh, T., Getachew, B., Weldemedhin, W., Tesgera, T., Deresse, G., Birhanu, K. (2023). Comparative evaluation of RBPT, I-ELISA, and CFT for the diagnosis of brucellosis and PCR detection of Brucella species from Ethiopian sheep, goats, and cattle sera. BMC Microbiol. 23(1): 216.https://doi.org/10.1186/s12866-023-02962-2PMid:37563597 PMCid:PMC10413706 27. Šerić-Haračić, S., Velić, L., Šaljić, E., Čengić, B., Tandir, F., Hadžimusić, N. (2022). Agreement among Rose Bengal, complement fixation test, and iELISA in diagnostic discrimination of sheep and goat brucellosis (Brucella melitensis). Acta Vet Eurasia. 48(1): 30-34.https://doi.org/10.5152/actavet.2022.2105028. Schofield, T.L. (2009). Vaccine stability study design and analysis to support product licensure. Biologicals. 37(6): 387-396.https://doi.org/10.1016/j.biologicals.2009.08.009PMid:19717312 29. Wang, W. (2000). Lyophilization and development of solid protein pharmaceuticals. Int J Pharm. 203(1-2): 1-60.https://doi.org/10.1016/S0378-5173(00)00423-3PMid:10967427 30. Knezevic, I. (2009). Stability evaluation of vaccines: WHO approach. Biologicals. 37(6): 357-359.https://doi.org/10.1016/j.biologicals.2009.08.004PMid:19729320</p>
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