Soleris® Automated System for the Rapid Detection of Burkholderia cepacia Complex in Cosmetic Products

Abstract

Background Burkholderia cepacia complex (Bcc) has emerged as an important opportunistic pathogen with rising concern in pharmaceuticals and cosmetic products. The Bcc supplement (S2-BCC-S) was purposely developed and used with the Pseudomonas vial (PD-109) for the detection of Bcc through the Soleris® Next Generation automated instrument system. Objective This study aimed to evaluate the performance of the Soleris® Bcc testing method for cosmetic products. Method Inclusivity and exclusivity were assessed with the Soleris Bcc method and United States Pharmacopeia (USP) method in three enrichment broths. Matrix testing was conducted using 28 cosmetic products to compare the equivalency of the Soleris Bcc method to that of the USP reference method. Repeatability of the Soleris Bcc assay, method robustness, product stability, and lot-to-lot consistency of the Soleris reagents were also assessed. Results Both the Soleris Bcc and the USP methods supported the growth of all 26 inclusivity strains, except the USP method missed one inclusivity strain in one broth. For exclusivity, 0–6% was presumptive positive with the Soleris Bcc method, and 42–48% was presumptive positive with the reference method. Kappa index was 0.96 for the matrix testing, indicating a good agreement between the Soleris Bcc assay and reference method for testing Bcc in cosmetics. Repeatability results showed the coefficient of variation was less than 4%. The robustness and ruggedness study yielded detection times within 1 h differences when small variations were introduced. The lot-to-lot study showed consistent results among four lots of the Bcc reagents. Conclusions The automated Soleris method was successfully demonstrated to be robust, sensitive, and specific for Bcc detection in cosmetic products. Highlights The Soleris Bcc method is user friendly. It shows the results in real-time and generates the report automatically. Implementation of this method for detection of Bcc in cosmetics would save significant time and resources.

Oxygen Sensor-Based Respirometry and the Landscape of Microbial Testing Methods as Applicable to Food and Beverage Matrices

“…The system shares similarities with O 2 respirometry but is less robust and accurate since absorbance measurements are more influenced by the samples matrix. Nevertheless, it is actively used in selective TVC assays for the predictive identification of microbial pathogens [14].…”