PMID- 21204876 OWN - NLM STAT- MEDLINE DCOM- 20110418 LR - 20181201 IS - 1472-765X (Electronic) IS - 0266-8254 (Linking) VI - 52 IP - 3 DP - 2011 Mar TI - Optimization of bioassay for tetracycline detection in milk by means of chemometric techniques. PG - 245-52 LID - 10.1111/j.1472-765X.2010.02990.x [doi] AB - AIMS: In this study, a microbiological method of dichotomous response using Bacillus cereus was designed and optimized to detect tetracyclines (TCs) at concentrations near to the maximum residue limits (MRLs). METHODS AND RESULTS: In a first stage, the response time of bioassay was reduced to 5 h when the logarithm of spore concentration (log S) was increased. Later, a Plackett Burman design (2(6-3)) was analysed using logistic regression model. This design indicates significant effects of log S and chloramphenicol (CAP) on the detection limit (DL) of TC. Then, the response surfaces (RS) of the TCs DTs as a function of log S and CAP were plotted using a Dohlert design and the logistic regression model. These RS show a linear decrease with the raise of CAP and a quadratic effect of log S. Finally, the DTs of TC (109 mug l(-1)) and oxytetracycline (100 mug l(-1)) were adjusted to their MRLs through the desirability function. CONCLUSIONS: By successive application of experimental design techniques could be optimized a bioassay for the detection of TC residues in milk. The best conditions have been achieved when the assay was made with log S = 5.12 and CAP = 470 mug l(-1). SIGNIFICANCE AND IMPACT OF THE STUDY: Experimental design techniques together with the logistic regression model and the desirability function represent an adequate tool for the optimization of a bioassay with binary response. CI - (c) 2011 The Authors. Letters in Applied Microbiology (c) 2011 The Society for Applied Microbiology. FAU - Nagel, O G AU - Nagel OG AD - Catedra de Biofisica, Departamento de Ciencias Basicas, Facultad de Ciencias Veterinarias, Universidad Nacional del Litoral, Esperanza, Argentina. FAU - Molina, M P AU - Molina MP FAU - Althaus, R L AU - Althaus RL LA - eng PT - Journal Article PT - Research Support, Non-U.S. Gov't DEP - 20110124 PL - England TA - Lett Appl Microbiol JT - Letters in applied microbiology JID - 8510094 RN - 0 (Anti-Bacterial Agents) RN - 0 (Tetracyclines) RN - 66974FR9Q1 (Chloramphenicol) SB - IM MH - Animals MH - Anti-Bacterial Agents/*analysis MH - Bacillus cereus/drug effects MH - Biological Assay/*methods MH - Chloramphenicol/chemistry MH - Food Analysis/*methods MH - Limit of Detection MH - Logistic Models MH - Microbial Sensitivity Tests MH - Milk/*chemistry MH - Sensitivity and Specificity MH - Spores, Bacterial/drug effects MH - Tetracyclines/*analysis EDAT- 2011/01/06 06:00 MHDA- 2011/04/19 06:00 CRDT- 2011/01/06 06:00 PHST- 2011/01/06 06:00 [entrez] PHST- 2011/01/06 06:00 [pubmed] PHST- 2011/04/19 06:00 [medline] AID - 10.1111/j.1472-765X.2010.02990.x [doi] PST - ppublish SO - Lett Appl Microbiol. 2011 Mar;52(3):245-52. doi: 10.1111/j.1472-765X.2010.02990.x. Epub 2011 Jan 24.