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Inicio Revista Argentina de Microbiología Five-assay microbiological system for the screening of antibiotic residues
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Vol. 51. Núm. 4.
Páginas 345-353 (octubre - diciembre 2019)
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Vol. 51. Núm. 4.
Páginas 345-353 (octubre - diciembre 2019)
Original article
Open Access
Five-assay microbiological system for the screening of antibiotic residues
Sistema microbiológico de cinco bioensayos para la detección de residuos de antibióticos
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Melisa Tumini, Orlando G. Nagel, Rafael L. Althaus
Autor para correspondencia
ralthaus@fcv.unl.edu.ar

Corresponding author.
Facultad de Ciencias Veterinarias, Universidad Nacional del Litoral, R.P.L. Kreder 2805, 3080 Esperanza, Argentina
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Tablas (5)
Table 1. Composition of bioassays that integrate the microbiological system evaluated
Table 2. Coefficients calculated by the Logistic regression model for the dose–response curve
Table 3. Detection limits (μg/l) of microbiological system in microplates
Table 4. Specificity of the microbiological system
Table 5. Interpretation of results of the microbiological system in microplates
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Abstract

A novel microbiological system in microtiter plates consisting of five bioassays is presented for the detection and classification of antibiotic residues in milk. The bioassays were optimized for the detection of beta-lactams (Bioassay B: Geobacillus stearothermophilus), macrolides (Bioassay M: Bacillus megaterium with fusidic acid), tetracyclines (Bioassay T: B. megaterium with chloramphenicol), quinolones (Bioassay Q: Bacillus licheniformis) and sulfamides (Bioassay QS: B. licheniformis with trimethoprim) at levels near the maximum residue limits (MRL). The response of each bioassay was interpreted visually (positive or negative) after 4–5.5h of incubation. The system detects and classifies beta-lactams (5μg/l of amoxicillin, 4μg/l of ampicillin, 36μg/l of cloxacillin, 22μg/l of amoxicillin, 3μg/l of penicillin, 114μg/l of cephalexin, 89μg/l of cefoperazone and 116μg/l of ceftiofur), tetracyclines (98μg/l of chlortetracycline, 92μg/l of oxytetracycline and 88μg/l of tetracycline), macrolides (33μg/l of erythromycin, 44μg/l of tilmicosin and 50μg/l of tylosin), sulfonamides (76μg/l of sulfadiazine, 85μg/l of sulfadimethoxine, 77μg/l of sulfamethoxazole and 87μg/l of sulfathiazole) and quinolones (94μg/l of ciprofloxacin, 98μg/l of enrofloxacin and 79μg/l marbofloxacin). In addition, the specificity values were high for B, T, Q (99.4%), M (98.8%) and QS (98.1%) bioassays. The control of antibiotics through this system can contribute to improving the quality and safety of dairy products.

Keywords:
Milk
Antibiotic
Detection
Classification
Bioassay
Microbiological system
Resumen

Se presenta un novedoso sistema microbiológico en placas de microtitulación compuesto por 5 bioensayos para la detección y clasificación de residuos de antibióticos en leche. Los bioensayos fueron optimizados para la detección de betalactámicos (bioensayo B: Geobacillus stearothermophilus), macrólidos (bioensayo M: Bacillus megaterium con ácido fusídico), tetraciclinas (bioensayo T: Bacillus megaterium con cloranfenicol), quinolonas (bioensayo Q: Bacillus licheniformis) y sulfamidas (bioensayo QS: Bacillus licheniformis con trimetoprima), a niveles cercanos a los límites máximos de residuos (LMR). La respuesta de cada bioensayo se interpretó visualmente (positiva o negativa) después de 4 a 5,5h de incubación. El sistema detecta y clasifica betalactámicos (5μg/l de amoxicilina, 4μg/l de ampicilina, 36μg/l de cloxacilina, 22μg/l de amoxicilina, 3μg/l de penicilina, 114μg/l de cefalexina, 89μg/l de cefoperazona y 116μg/l de ceftiofur), tetraciclinas (98μg/l de clortetraciclina, 92μg/l de oxitetraciclina y 88μg/l de tetraciclina), macrólidos (33μg/l de eritromicina, 44μg/l de tilmicosina y 50μg/l de tilosina), sulfamidas (76μg/l de sulfadiacina, 85μg/l de sulfadimetoxina, 77μg/l de sulfametoxazol y 87μg/l de sulfatiazol) y quinolonas (94μg/l de ciprofloxacina, 98μg/l de enrofloxacina y 79μg/l de marbofloxacina). Además, los valores de especificidad fueron altos para los bioensayos B, T, Q (99,4%), M (98,8%) y QS (98,1%). El control de residuos de antibióticos mediante este sistema puede contribuir a mejorar la calidad e inocuidad de los productos lácteos.

Palabras clave:
Leche
Antibiótico
Detección
Clasificación
Bioensayo
Sistema microbiológico
Texto completo
Introduction

Various pathologies of milk-producing cattle, such as mastitis, metritis, pneumonia, enteritis and lameness26, are treated with penicillins6, ceftiofur16, oxytetracycline5,24, tylosin and enrofloxacin15, respectively.

Residues of these molecules could remain in the milk and cause adverse effects on consumer health, such as hypersensitivity reactions, allergy and resistance development17,22,8,1. In addition, the presence of these substances can delay acidification of fermented products, inhibit starter cultures and alter some properties involved in cheese ripening3,4.

In order to prevent the risks of antibiotic residues in milk, the European Community has established the maximum residue limits (MRL) and the procedures for their determination by Regulation EC 470/200910 and Regulation EC 37/201011. Furthermore, in the USA, the Food and Drug Administration has determined the levels of tolerance of antibiotic residues in milk for consumer protection12.

Several screening tests have been developed for the control of antibiotic residues at permitted levels. In surveillance programs of veterinary drug residues, microbiological methods are widely used23, because they are inexpensive, allow large number of samples and do not require microbiology-trained staff. Moreover, these methods have detection limits similar to the MRL for beta-lactams, tetracyclines and sulfamides in milk; however, they do not detect residues of other antibiotics such as macrolides and quinolones14,2.

Thus, Nagel et al.20 proposed bioassays that use several bacteria-tests with specific sensitivity for different groups of antibiotics used in the disease treatment of dairy cattle. These bioassays integrate a Microbiological System with dichotomous responses (positive – negative) of easy interpretation in a maximum time of 6h. This detection metodology detects and classifies residues in four antibiotic groups (beta-lactams, tetracyclines, sulfonamides and quinolones), but with cross-specificity to some macrolides (tylosin, tilmicosin, erythromycin) and aminoglycosides (neomycin).

Therefore, the aim of this study was to evaluate a Microbiological System in microtiter plates (SMmp) to detect and classify antibiotic residues in five groups (beta-lactams, tetracyclines, sulfonamides, quinolones and macrolides) to provide a dichotomous response (positive or negative) in less than 6h, to be used routinely by milk quality control laboratories.

Materials and methodsDesign of a microbiological system in microtiter plates (MSmp)

With the purpose of detecting and classifying antibiotic residues in milk, a microbiological system consisting of five bioassays was designed. This System is constituted by Bioassay B (beta-lactams), Bioassay T (tetracyclines), Bioassay M (macrolides), Bioassay Q (quinolones) and Bioassay QS (quinolones and sulfonamides). Table 1 shows culture media, concentration of sensitivity-enhancing agents, spore concentration of bacteria-tests, indicators, pH, incubation conditions for each bioassay that integrates the MSmp.

Table 1.

Composition of bioassays that integrate the microbiological system evaluated

Bioassays  Bacteria test  Agar medium  Incubation  Color response
        Negative  Positive 
G. stearothermophilus subsp. calidolactis C 953 (2×106spores/ml)  Brilliant black (100mg/l) toluidine blue (270mg/l), pH 8.2  64°C, 4Yellow  Black 
B. megaterium ATCC 9885 (2.8×108spores/ml)  Brilliant black (200mg/l) toluidine blue (10mg/l), pH 8.5, chloramphenicol (2000μg/l)  45°C, 5Yellow  Black 
B. megaterium ATCC 9885 (2.8.×108spores/ml)  Brillant black (200mg/l) toluidine blue (10mg/l), pH 8.0, fusidic acid (200μg/l)  45°C, 5Yellow  Black 
B. licheniformis ATCC 14580 (4.2×1010spores/ml)  Triphenyl tetrazolium (200mg/l) toluidine blue (10mg/l), pH 7.0  45°C, 5.5Pink  Blue 
QS  B. licheniformis ATCC 14580 (4.2×1010spores/ml)  Triphenyl tetrazolium (200mg/l) toluidine blue (10mg/l), pH 7.0, trimethoprim (100μg/l)  45°C, 5.5Pink  Blue 

B: beta-lactams; T: tetracyclines; M: macrolides; Q: quinolones; QS: quinolones-sulfamides.

Preparation of bioassays

Mueller Hinton Agar (38g/l, Biokar®, Ref. 10272, France) fortified with glucose (10g/l, Sigma Aldrich®, Ref. G8270, USA) was used and sterilized at 121°C for 15min. Then, each bioassay was added with redox indicators, spores of specific microorganisms, and sensitivity-improving substances (chloramphenicol, fusidic acid or trimethoprim), as described in Table 1. Subsequently, 100μl of medium was dispensed into each of the 96 wells of the microtiter plate with an electronic dispenser (Eppendorf Research® Pro, Hamburg, Germany) and then, the plates were heat-sealed with aluminum foil coated with polypropylene and stored in a refrigerator (4°C) until use.

Antibiotic solutions and fortified samples

For the preparation of antimicrobial solutions, standard antibiotics from Sigma Chemical Co. (St. Louis, MO, USA) were used. Aqueous solutions for each antibiotic were prepared in 10ml volumetric flasks at a concentration of 1000mg/l at the time of analysis to avoid possible alteration of molecules and/or their properties.

Dose–response curves

The dose–response curves were constructed for eight beta-lactams (amoxicillin, ampicillin, cloxacillin, oxacillin, penicillin ‘G’, cefoperazone, ceftiofur and cephalexin), three tetracyclines (chlortetracycline, oxytetracycline and tetracycline), three macrolides (erythromycin, tylosin and tilmicosin), three quinolones (ciprofloxacin, enrofloxacin and marbofloxacin), four sulfonamides (sulfadiazine, sulfadimethoxine, sulfamethoxazole and sulfathiazole) and three aminoglycosides (kanamycin, neomycin and streptomycin), according to the Codex Alimentarius guidelines9.

For this purpose, 16 replicas of 12 concentrations were tested to obtain negative results in the first two concentrations and positive results in the last two concentrations tested. Then, 50μl milk samples fortified with antibiotics were added to each bioassay well. The microplates were sealed with adhesive film and incubated under conditions of time and temperature to allow the color change of the control samples (Table 1).

Interpretation of results

Bioassay responses were visually interpreted by three specialists independently. Each analysis was classified in terms of “positive” or “negative” when there were at least two coincident results.

Milk samples not containing or containing antibiotics at concentrations lower than the method detection limit will allow the growth of the test bacterium, accompanied by a change in the potential redox of the culture medium, manifested by a change in the coloration of the redox indicators. Thus, Bioassays B, M and T, which contained brilliant black and toluidine blue, changed to yellow (negative result), whereas Bioassays Q and QS, which contained triphenyltetrazolium and toluidine blue, changed to pink (negative result) after incubation (Table 1).

Conversely, when a milk sample contains antibiotic residues at levels above the detection limit of each molecule for a bioassay, it will not allow the growth of the microorganism, and thus there will be no change in the redox potential and the original color of the bioassay will remain. Thus, the persistence of the black color in Bioassays B, T and M indicated the presence of antibiotics in milk, whereas the persistence of the blue color in Bioassays Q and QS also indicated the presence of antibiotics in milk.

Calculation of detection limits

The frequencies of positive results were analyzed according to the following logistic regression model (StatGraphics Centurion X, 2007)25:

where: Lij=logistic linear model; [Pij]=logit [Pp/(1Pp)]: (probability of a “positive” response/probability of a “negative” response), β0 and β1=parameters calculated by the logistic model; [ATB]i=antibiotic concentration (i=1, 2,..., 12 levels); and ɛij=residual error.

The detection limits were calculated as the concentration producing 95% of positive frequencies7,9.

Specificity of each bioassay

A total of 160 milk samples from Holstein Friesian cows 60–90 days postpartum with normal values of chemical composition (protein: 2.10–5.75g/100ml, fats: 2.38–6.03g/100ml, lactose: 3.63–5.17g/100ml, total solids: 9.31–12.86g/100ml), Bacterial Colony Count (BCC: 13.000–99.000/ml) and Somatic Cell Count (SCC: 2.000–392.000/ml) were used according to the Codex Alimentarius9. The chemical composition, SCC and BCC were determined using Milko Scan FT-120 (Foss Somatic, USA), Fossomatic 90 (Foss Electric, USA) and BactoScan 8.000S (Foss Electric, USA), respectively. Milk samples were analyzed with the five bioassays (B, T, M, Q and QS) in triplicate. For this purpose, 50μl of milk samples was added in each single well of each bioassay and then incubated in a water floating bath at a temperature-time for each bioassay (Table 1). Samples were analyzed simultaneously by the Delvotest® SP method (DSM, Delft, the Netherlands), which is considered a reference method. Then, specificity (%) was calculated using the following mathematical equation:

Results and discussionDetection limits of the bioassays

Table 2 shows the results obtained by applying the logistic regression model for the 24 antibiotics tested with each of the five bioassays (B, T, M, Q and QS). The adjustments obtained by the logistic regression model were good, since the concordance coefficients were between 98.7% and 99.4%.

Table 2.

Coefficients calculated by the Logistic regression model for the dose–response curve

Antibiotics  Bioassay BBioassay TBioassay MBioassay QBioassay QS
  β0  β1  β0  β1  β0  β1  β0  β1  β0  β1 
Beta-lactams
Amoxycillin  −6.3773  1.9392  −4.9124  0.0545  −4.9057  0.0537  −9.1554  0.0219  −8.7600  0.0261 
Ampicillin  −8.8622  3.0737  −6.1354  0.0937  −6.1772  0.0924  −4.7193  0.0384  −4.4617  0.0377 
Cloxacillin  −11.836  0.4084  −5.1654  0.0335  −5.1424  0.0389  −9.1554  0.0219  −8.3468  0.0206 
Oxacillin  −16.313  0.8706  −4.8035  0.0339  −4.8032  0.0325  −7.2449  0.0267  −7.2674  0.0259 
Penicillin “G”  −15.299  5.5301  −10.916  0.0752  −10.955  0.0724  −5.0872  0.1476  −5.0768  0.1456 
Cephalexin  −9.7361  0.1112  −4.8526  0.0120  −4.8602  0.0117  −10.237  0.0151  −10.364  0.0153 
Cefoperazone  −5.9080  0.0995  −4.8658  0.0033  −4.8596  0.0032  −6.3529  0.0129  −6.3398  0.0127 
Ceftiofur®  −4.2313  0.0616  −11.861  0.0239  −11.859  0.0233  −7.1114  0.0128  −7.1498  0.0127 
Aminoglycosides
Kanamycin  −18.733  0.0026  −15.398  0.0246  −15.332  0.0259  −7.3300  0.0017  −7.8288  0.0017 
Neomycin  −10.903  0.0099  −2.9801  0.0061  −2.9754  0.0064  −8.8972  0.0002  −8.9971  0.0002 
Streptomycin  −12.197  0.0045  −13.685  0.0276  −13.537  0.0262  −11.057  0.0002  −10.906  0.0002 
Macrolides
Erythromycin  −6.5414  0.0337  −5.6254  0.0907  −4.1801  0.2181  −5.5534  0.0079  −5.5484  0.0080 
Tilmicosin  −5.7655  0.0262  −6.6341  0.0901  −4.0196  0.1428  −10.822  0.0146  −10.819  0.0141 
Tylosin  −4.6664  0.1454  −7.4681  0.0998  −3.0152  0.1198  −8.7288  0.0205  −8.7291  0.0209 
Sulfamides
Sulfadiazine  −10.884  0.0007  −14.268  0.0060  −14.188  0.0059  −12.282  0.0102  −16.282  0.2123 
Sulfadimethoxine  −16.567  0.0023  −18.394  0.0103  −18.321  0.0102  −11.982  0.0096  −21.825  0.2541 
Sulfamethoxazole  −15.294  0.0044  −14.895  0.0074  −14.961  0.0075  −13.912  0.0120  −15.912  0.2052 
Sulfathiazole  −19.432  0.0051  −13.701  0.0054  −13.698  0.0055  −11.709  0.0119  −23.709  0.2707 
Tetracyclines
Chlortetracycline  −4.6026  0.0012  −13.119  0.1637  −9.3559  0.0576  −11.647  0.0137  −11.723  0.0134 
Oxytetracycline  −10.811  0.0072  −8.6151  0.1258  −10.999  0.0691  −7.3439  0.0121  −7.3774  0.0123 
Tetracycline  −18.384  0.0124  −7.4310  0.0809  −10.174  0.0591  −7.1065  0.0088  −7.1163  0.0085 
Quinolones
Ciprofloxacin  −6.3695  0.0337  −15.356  0.0521  −15.329  0.0518  −7.0710  0.1060  −7.0712  0.1097 
Enrofloxacin  −12.297  0.0037  −3.9754  0.0064  −3.9535  0.0067  −7.9332  0.1106  −7.9877  0.1112 
Marbofloxacin  −7.3085  0.0015  −3.9744  0.0066  −3.9986  0.0067  −6.5049  0.1091  −6.5235  0.1035 

B: beta-lactams; T: tetracyclines; M: macrolides; Q: quinolones; QS: quinolones-sulfonamides. β0 and β1: parameters calculated by the logistic model.

β1 coefficient values in bold for the same group of antibiotics indicate greater bioassay sensitivity compared to other bioassays of MSmp.

Coefficient β1 indicates the slope of the dose–response curve. Higher values of this coefficient indicate good sensitivity of the bacteria-test to detect antibiotics in milk. Bioassay B had a higher coefficient β1 for beta-lactam antibiotics (between 0.0616 and 5.5301) in addition to tylosin (0.1458) and neomycin (0.0099). Bioassay T showed high values of β1 for the three tetracyclines studied (β1Chlortetracycline=0.1637; β1Oxitetracycline=0.1258; β1Tetracycline=0.0809). Bioassay M had high values of this coefficient for macrolides (β1Erythromycin=0.2181; β1Tilmicosin=0.1425; β1Tylosin=0.1198). Bioassay Q showed similar coefficients β1 for the three quinolones (between 0.1060 and 0.1106), and bioassay QS (with trimethoprim) also exhibited high coefficients β1 for sulfonamides (between 0.2052 and 0.2707).

The detection limits (DL) calculated for each molecule by the logistic regression model and the respective MRL9 are summarized in Table 3. For beta-lactams, Bioassay B showed detection limits (DL) similar to their MRL (amoxicillin: 5μg/l, ampicillin: 4μg/l, cloxacillin 36μg/l, oxacillin: 22μg/l, penicillin ‘G’ 3μg/l, cephalexin 114μg/l, cefoperazone: 89μg/l, ceftiofur: 116μg/l). By contrast, in Bioassays M, T, Q and QS, beta-lactams had to be present in milk at levels above 5 MRL to produce positive results.

Table 3.

Detection limits (μg/l) of microbiological system in microplates

Antibiotics  MRLa  Bioassays
    TC  MC  QS 
Beta-lactams
Amoxycillin  5  150  140  550  540 
Ampicillin  4  97  100  200  190 
Cloxacillin  30  36  242  208  550  550 
Oxacillin  30  22  229  250  380  390 
Penicillin “G”  3  184  200  54  55 
Cephalexin  100  114  650  670  870  870 
Cefoperazone  50  89  2360  2500  720  730 
Ceftiofur®  100  116  500  500  780  795 
Aminoglycosides
Kanamycin  100  8300  620  590  5900  6020 
Neomycin  1500  1400  460  450  59300  59500 
Streptomycin  200  3400  490  500  70100  69200 
Macrolides
Erythromycin  40  280  94  33  1070  1100 
Tilmicosin  50  350  106  44  700  760 
Tylosin  50  52  104  50  450  400 
Sulfamides
Sulfadiazine  100  18100  2400  2400  1500  76 
Sulfadimethoxine  100  8200  1800  1800  1500  85 
Sulfamethoxazole  100  4100  1900  1900  1400  77 
Sulfathiazole  100  4400  2500  2500  1200  87 
Tetracyclines
Chlortetracycline  100  5900  98  214  1060  1100 
Oxytetracycline  100  1800  92  202  850  840 
Tetracycline  100  1700  88  222  1200  1100 
Quinolones
Ciprofloxacin  100  4100  290  300  94  91 
Enrofloxacin  100  4000  590  560  98  98 
Marbofloxacin  75  6800  1050  1100  79  77 

B: beta-lactams; TC: tetracyclines; MC: macrolides; Q: quinolones; QS: quinolones-sulfonamides.

a

MRL: maximum residue limit (μg/l).

Detection limit values highlighted in bold for each bioassay indicate levels close to their respective MRL.

The detection limits for beta-lactams calculated in Bioassay B (Table 3) were lower than those reported by Nagel et al.20 for a bioassay in microtiter plates using Geobacillus stearothermophilus (4μg/l of penicillin, 14μg/l of amoxicillin, 8μg/l of ampicillin, 49μg/l of cloxacillin, 25μg/l of oxacillin, 190μg/l of ceftiofur, 190μg/l of cephalexin and 140μg/l of cefoperazone). For assays in Petri dishes using G. stearothermophilus, Nouws et al.21 reported lower detection levels (2μg/l of penicillin, 3μg/l of amoxicillin, 2μg/l of ampicillin, 15μg/l of cloxacillin, 20μg/l of oxacillin, 30μg/l of ceftiofur, 45μg/l of cephalexin, 30μg/l of cefoperazone). Similarly, Gaudin et al.13 reported DL that were similar to those obtained in this work (Table 3) in Petri dishes (12–16μg/l of penicillin “G”, 6–5μg/l of ampicillin, 16μg/l of amoxicillin, 50μg/l of cloxacillin, 30μg/l of oxacillin, 125μg/l of ceftiofur, 80μg/l of cefoperazone and 30μg/l of cephalexin).

With respect to Bioassay T, it should be noted that the DL obtained were similar to the MRL (100μg/l) for chlortetracycline (98μg/l) and oxytetracycline (92μg/l) and slightly higher for tetracyclines (128μg/l) due to the improvement in sensitivity of B. megaterium with chloramphenicol29. However, Bioassay M using the same microorganism without the addition of chloramphenicol showed positive results when tetracyclines were present at greater levels than 2 times the MRL (Table 3).

The detection limits of tetracyclines for Bioassay T (Table 3) were slightly lower than those calculated by Nagel et al.18,20 when using a bioassay with B. cereus spores in microtiter plates (chlortetracycline: 330μg/l, oxytetracycline: 110μg/l, tetracycline: 110μg/l). In previous studies, Tumini et al.28 found detection limits that were similar to those obtained in this work for a bioassay containing B. pumilus (chlortetracycline 117μg/l, oxytetracycline: 142μg/l, tetracycline: 105μg/l).

For assays in Petri dishes, Nouws et al.21 obtained values lower than those calculated in this work when using B. cereus after 18h incubation (10μg/l of chlortetracycline, 30μg/l of oxytetracycline and 30μg/l of tetracycline). Tsai and Kondo27 and Gaudin et al.13 reported higher levels than those calculated in this study (Table 3) when using assays in Petri dishes (chlortetracycline: 100–200μg/l, oxytetracycline: 200–250μg/l, tetracycline: 200–250μg/l).

With regard to macrolides, Bioassay M presented adequate detection limits for erythromycin (33μg/l), tilmicosin (49μg/l) and tylosin (50μg/l). The sensitivity to these compounds can be attributed to the incorporation of fusidic acid in the culture medium containing B. megaterium spores30. Conversely, macrolides must be present in milk at concentrations between 2 and 3 times the MRL to produce positive results in bioassay T (Table 3).

The detection limits of macrolides obtained by using Bioassay M (Table 3) were higher than those reported by Nouws et al.21 for erythromycin (10μg/l) and tilmicosin (6μg/l) but lower than those reported for tylosin (100μg/l) when using Kocuria rhizophila in Petri dishes. Moreover, Gaudin et al.13 estimated similar DL for erythromycin (20–30μg/l) and tilmicosin (25–50μg/l) and higher ones for tylosin (150–200μg/l) in a method in Petri dishes containing the same microorganism. However, both Nouws et al.21 and Gaudin et al.13 obtained a response after 18–24h of incubation.

The residues of quinolones in milk were detected by Bioassays Q and QS, with DL similar to the MRL for ciprofloxacin (Q: 94μg/l QS: 91μg/l), enrofloxacin (Q and QS: 98μg/l) and marbofloxacin (Q: 87μg/l QS: 91μg/l) due to the good sensitivity of B. licheniformis for quinolones31.

For quinolone residues, the DL of bioassays Q and QS (Table 3) were lower than those reported by Nagel et al.20 when using a bioassay in microtiter plates containing B. subtilis spores (150μg/l of ciprofloxacin, 160μg/l of enrofloxacin and 160μg/l of marbofloxacin). By using bioassays in Petri dishes containing Escherichia coli cells and after 24h of incubation, Nouws et al.21 (4μg/l of enrofloxacin and 5μg/l marbofloxacin) and Gaudin et al.13 detected low concentrations of quinolones in milk (10μg/l of ciprofloxacin, 20μg/l of enrofloxacin and 30μg/l of marbofloxacin).

For sulfonamides, the addition of trimethoprim into the culture medium containing B. licheniformis spores (Bioassay QS) significantly improved the detection of sulfadiazine (76μg/l), sulfadimethoxine (85μg/l), sulfamethoxazole (77μg/l) and sulfathiazole (87μg/l) with respect to bioassay Q without trimethoprim (Table 3).

The detection limits for sulfonamides in milk calculated when using Bioassay QS (Table 3) were lower than those reported by Nagel et al.20 for sulfadiazine (160μg/l), sulfadimethoxine (260μg/l), sulfamethoxazole (120μg/l) and sulfathiazole (110μg/l) when using a bioassay with B. subtilis and trimethoprim in the culture medium. However, in an assay in Petri dish with B. subtilis spores and requiring 18–24h of incubation, Nouws et al.21 obtained lower levels for residues of sulfadiazine (30μg/l) and sulfadimethoxine (20μg/l) than those reported in Table 3, while Gaudin et al.13 obtained higher detection limits for sulfadiazine (100μg/l), sulfadimethoxine (175μg/l), sulfamethoxazole (100μg/l) and sulfathiazole (1000μg/l).

Specificity of the bioassays

The results of specificity for each bioassay are detailed in Table 4. It can be observed that bioassays B, T and Q had high specificity (99.4%), as determined by the Delvotest® SP method, and that the specificity of bioassays M (98.8%) and QS (98.1%) was slightly lower than that of the other methods. It should be noted that Nagel et al.18,19 and Tumini et al.28 reported specificities between 99.0–99.5% (B. cereus), 95.8–98.9% (B. subtilis) and 97.9–98.9% (B. pumilus) respectively when optimizing microbiological methods in microtiter plates.

Table 4.

Specificity of the microbiological system

Bioassays  Milk samples  Positive  Negative  Specificity (%) 
160  159  99.4 
160  159  99.4 
160  158  98.8 
160  159  99.4 
QS  160  157  98.1 
Delvotest® SP  160  159  99.4 

Specificity (%): (negative/total samples)×100.

Cross-specificity of the five-bioassay system

In order to simultaneously visualize the detection profiles of the five bioassays for the 24 antibiotics studied, we constructed Figure 1. The radial diagram was constructed in logarithmic scale due to the large amplitude in the range of the detection system (Table 3) since the DL were between 3μg/l (penicillin with bioassay B) and 70100μg/l (streptomycin with bioassay Q). In addition, a logarithmic relative scale was chosen in terms of the MRL for each molecule (Log DL/MRL) because it allows to visualize the similarity or discrepancy between the DL and MRL of each antibiotic. In this diagram, circle 1 corresponds to Log DL/MRL=0.1 values (the bioassay detects antibiotics below MRL levels), circle 2 corresponds to Log DL/MRL=1 (limits equivalent to LMR detection), circle 3 indicates Log DL/MRL=10 MRL and circle 4 indicates Log DL/MRL=100 MRL (the bioassay does not detect the antibiotic).

Figure 1.

Detection pattern (DL/MRL) for microbiological five-bioassay system. Circle 1=0.1 MRL, Circle 2=MRL, Circle 3=10 MRL and Circle 4=100 MRL.

(0.34MB).

It can be observed that Bioassay B (blue line) detected the eight beta-lactam antibiotics, as well as tylosin and neomycin; Bioassay T (red line) detected the three tetracyclines and neomycin; Bioassay M (green line) detected the three macrolides and neomycin; Bioassay Q (black line) detected only the three quinolones, and Bioassay QS (purple line) detected the four sulfonamides and the three quinolones. It is also noted that kanamycin and streptomycin were not detected by any of the five bioassays.

In summary, a simple visual analysis of the color of each bioassay easily allows to classify an antibiotic residue into five categories. The simultaneous detection of quinolones (two bioassays), tylosin (two bioassays) and neomycin (three bioassays) provide a tool to ensure the presence of residues, thereby improving food security.

Antibiotic classification by the five-bioassay system

Table 5 summarizes the visual interpretation of the results obtained by the simultaneous analysis of the five bioassays. Responses are visually observed by the color change in each method. For Bioassays B, T and M, the yellow color indicates a negative result, whereas the black color indicates a positive result. For bioassays Q and QS, the pink color indicates a negative result, whereas blue indicates a positive result.

Table 5.

Interpretation of results of the microbiological system in microplates

Antibiotics  Bioassays
  QS 
Free antibiotics  −  −  −  −  − 
Beta-lactams  +a  −  −  −  − 
Tetracyclines  −  +b  −  −  − 
Macrolides  −  −  +b  −  − 
Quinolones  −  −  − 
Sulfonamides  −  −  −  − 

B: beta-lactams; T: tetracyclines; M: macrolides; Q: quinolones; QS: quinolones-sulfonamides.

a

Neomycin or tylosin.

b

Neomycin; + and −: positive and negative responses, respectively.

The presence of beta-lactams in milk was visualized by the persistence of the original black color in Bioassay B. Tetracycline residues were observed by the persistence of the black color in bioassay T, whereas macrolide residues were observed by the persistence of the black color in bioassay M. Sulfonamides were observed by the persistence of the original blue color in bioassay QS, while quinolone residues were evidenced by the persistence of the original blue color in bioassays Q and QS.

Table 5 shows that neomycin residues were evidenced by the persistence of the original colors of bioassays B, T and M, while tylosin residues were evidenced by the persistence of the original colors of bioassays B and M (Table 3). Finally, it should be noted that the milk samples that produced color change in the five bioassays were classified as negative samples either because they had no antibiotic or the antibiotics were below the detection limits of each bioassay.

Conclusion

The microbiological system in microtiter plates consisting of Bioassays B (G. stearothermophilus), Bioassays T (B. megaterium), Bioassays M (B. megaterium and fucsidic acid), Bioassays Q (B. licheniformis) and Bioassays QS (B. licheniformis and trimetoprim) can detect a large amount of antibiotic residues in milk and allows to classify residues in beta-lactams, tetracyclines, macrolides, quinolones and sulfonamides. This system provides a simple dichotomous colorimetric response with visual interpretation and allows to analyze a large number of samples in a short period of incubation (4–5.5h).

The simultaneous use of five bioassays represents a more efficient and rigorous control mechanism than the use of a single-bioassay microbiological system. Indeed, the routine implementation of this system in quality control microbiological laboratories may contribute to improving food security. Furthermore, in contrast to microbiological systems in Petri dishes, which should be used immediately after preparation, this microbiological system designed in a microtiter plate format heat-sealed with aluminized paper and containing sporulated bacteria allows the marketing, refrigerated transport and storage in a refrigerator at 4°C in the laboratory before being used. In the future, new bioassays using microorganisms with specific sensitivity to aminoglycosides should be developed to improve the detection profile and classification of antibiotic residues in milk.

Conflict of interest

The authors declare that they have no conflicts of interest

Funding

This research work was carried out as part of the CAI+D’16 Projects (PIC 50420150100113LI, Res. HCS 128/17, Universidad Nacional del Litoral, Santa Fe, Argentina).

References
[1]
A. Barra Caracciolo, E. Topp, P. Grenni.
Pharmaceuticals in the environment: biodegradation and effects on natural microbial communities. A review.
J Pharm Biomed Anal, 106 (2015), pp. 25-36
[2]
M.C. Beltrán, M.I. Berruga, A. Molina, R.L. Althaus, M.P. Molina.
Performance of the current microbial tests for screening antibiotic in sheep and goat milk.
Int Dairy J, 41 (2015), pp. 13-15
[3]
M.I. Berruga, B. Novés, M.P. Molina, M. Román, A. Molina.
Influence of cephalosporin on the coagulation time of yogurt made from ewe's milk.
Int J Dairy Tech, 61 (2008), pp. 372-378
[4]
M.I. Berruga, M.C. Beltrán, B. Noves, A. Molina, M.P. Molina.
Effect of penicillins on the acidification of yogurt made from ewe's milk during the storage.
International conference on antimicrobial research (ICAR2010). Science and technology against microbial pathogens, pp. 145-149
[5]
L. Berry, H. Read, L. Walker, R. Famula.
Clinical, histologic, and bacteriologic findings in dairy cows with digital dermatitis (footwarts) one month after topical treatment with lincomycin hydrochloride or oxytetracycline hydrochloride.
JAVMA, 237 (2010), pp. 555-560
[6]
N. Botsoglou, J. Fletouris.
Drug residues in foods: pharmacology, food safety, and analysis. Series: food science and technology.
Marcel Dekker, Inc., (2001),
[7]
Comunidad Económica Europea (CEE).
Decisión 2002/657/CEE del Consejo del 12 de Agosto de 2002 por la que se aplica la Directiva 96/23/CE del consejo en cuanto al funcionamiento de los métodos analíticos y la interpretación de los resultados.
DOCE, L 73, (2002), pp. 30-31
[8]
R. Chanda, R. Fincham, P. Venter.
Review of the regulation of veterinary drugs and residues in South Africa.
Crit Rev Food Sci Nutr, 54 (2014), pp. 488-494
[9]
Codex.
Codex alimentarius commission, veterinary drug residues in food.
(2016),
[10]
European Union.
Regulation (EC) No. 470/2009 of 6 lay 2009 laying down. Community procedures for the establishment of residue limits of pharmacologically active substances in foodstuffs of animal origin, repealing Council Regulation (EEC) No. 2377/90 and amending Directive 2001/82/EC of the European Parliament and of the Council and Regulation (EC) No. 726/2004 of the European Parliament and of the Council.
Off J, L152 (2009), pp. 11-22
[11]
European Union.
Regulation (EU) No. 37/2010 of 22 December 2009 on pharmacologically active substances and their classification regarding maximum residue limits in foodstuffs of animal origin.
Off J, L15 (2010), pp. 1-72
[12]
Food and Drug Administration Center for Veterinary Medicine (FDA).
MI-05-05: tolerance and/or safe levels of animal drug residues in milk.
(2005),
[13]
V. Gaudin, P. Maris, J. Fuselier, N. Ribouchon, P. Cadieu, A. Rault.
Validation of a microbiological method: the STAR protocol, a five-plate test for the screening of antibiotic residues in milk.
Food Addit Contam, 21 (2004), pp. 422-433
[14]
International Dairy Federation (IDF).
Detecting antibiotics in milk – guidance on the application of screening and confirmatory methods in integrated dairy chain management. Bulletin No. 474.
International Dairy Federation, (2014),
[15]
E. Jiménez Lozano, I. Marqués, D. Barrón, J.L. Beltrán, J. Barbosa.
Determination of pKa values of quinolones from mobility and spectroscopic data obtained by capillary electrophoresis and a diode array detector.
Anal Chim Acta, 464 (2002), pp. 37-45
[16]
T.V. Kaufmann, S. Westermann, M. Drillich, J. Plöntzke, W. Heuwieser.
Systemic antibiotic treatment of clinical endometritis in dairy cows with ceftiofur or two doses of cloprostenol in a 14-d interval.
Anim Reprod Sci, 121 (2010), pp. 55-62
[17]
B.M. Marshall, S.B. Levy.
Food animals and antimicrobials: impacts on human health.
Clin Microbiol Rev, 24 (2011), pp. 718-733
[18]
O.G. Nagel, M.P. Molina, R.L. Althaus.
Optimization of bioassay for tetracycline detection in milk by means of chemometric techniques.
Lett Appl Microbiol, 52 (2011), pp. 245-252
[19]
O.G. Nagel, M.P. Molina, R.L. Althaus.
Use of chemometric techniques to design a microbiological method for sulfamide detection in milk.
Czech J Food Sci, 31 (2013), pp. 627-632
[20]
O. Nagel, M. Molina, R. Althaus.
Microbiological system in microtitre plates for detection and classification of antibiotic residues in milk.
Int Dairy J, 32 (2013), pp. 150-155
[21]
J. Nouws, H. Van Egmond, I. Shulders, G. Loeffen, J. Schouten, H. Stegeman.
A microbiological assay system for assessment of raw milk exceeding EU maximum residue level.
Int Dairy J, 9 (1999), pp. 85-90
[22]
H. Nõlvak, M. Truu, K. Tiirik, K. Oopkaup, T. Sildvee, A. Kaasik, T. Mander, J. Truu.
Dynamics of antibiotic resistance genes and their relationships with system treatment efficiency in a horizontal subsurface flow constructed wetland.
Sci Total Environ, 461–462 (2013), pp. 636-644
[23]
M.G. Pikkemaat, M.L. Rapallini, T. Zuidema, J.W. Elferink, S. Oostra-van Dijk, W.D. Driessen-van Lankveld.
Screening methods for the detection of antibiotic residues in slaughter animals: comparison of the European Union four-plate test, the Nouws antibiotic test and the Premi®Test (applied to muscle and kidney).
Food Add Contam, 28 (2011), pp. 26-34
[24]
A.L. Stanton, D.F. Kelton, S.J. LeBlanc, S.T. Millman, J. Wormuth, R.T. Dingwell, K.E. Leslie.
The effect of treatment with long-acting antibiotic at postweaning movement on respiratory disease and on growth in commercial dairy calves.
J Dairy Sci, 93 (2010), pp. 574-581
[25]
Statgraphics Centurion, X.V. Version 15.2.05.
Edicion Multilingüe. StatPoint. Inc., (2007),
[26]
A. Sawant, L. Sordillo, B. Jayarao.
A survey on antibiotic usage in dairy herds in Pennsylvania.
J Dairy Sci, 88 (2005), pp. 2991-2999
[27]
C. Tsai, F. Kondo.
Improved agar diffusion method for detecting residual antimicrobial agents.
J Food Prot, 64 (2001), pp. 361-366
[28]
M. Tumini, O. Nagel, R. Althaus.
Microbiological bioassay using Bacillus pumilus to detect tetracycline in milk.
J Dairy Res, 82 (2015), pp. 248-255
[29]
M. Tumini, O. Nagel, M. Molina, R. Althaus.
Novel bioassay using Bacillus megaterium to detect tetracycline in milk.
Rev Argent Microbiol, 48 (2016), pp. 143-146
[30]
M. Tumini, O. Nagel, M. Molina, R. Althaus.
Microbiological method using Bacillus megaterium with fusidic acid for detection of macrolides in milk.
Czech J Food Sci, 34 (2016), pp. 9-15
[31]
M. Tumini, O. Nagel, M. Molina, R. Althaus.
Microbiological assay with Bacillus licheniformis for the easy detection of quinolones in milk.
Int Dairy J, 64 (2016), pp. 9-14
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