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Automated Microbial Diagnostics01:24

Automated Microbial Diagnostics

Automated diagnostic analyzers have transformed clinical microbiology by providing rapid and reliable methods for pathogen identification and antibiotic susceptibility testing. Among these systems, the Vitek 2 is widely used because it automates the traditionally labor-intensive processes of microbial identification (ID) and antibiotic susceptibility testing (AST), delivering standardized and timely results that are essential for effective patient care.Microbial Identification with ID CardsThe...

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High-throughput antimicrobial efficacy tests on a 384PillarPlate.

Pranav Joshi1, Prabha Acharya2, Manav Goud Vanga1

  • 1Bioprinting Laboratories Inc., Dallas, TX, US.

World Journal of Microbiology & Biotechnology
|February 27, 2026
PubMed
Summary
This summary is machine-generated.

A new ATP-based, on-chip antimicrobial efficacy test (O-AET) offers a faster, more cost-effective alternative to traditional methods for testing preservatives in consumer products.

Keywords:
384PillarPlateAntimicrobial efficacyConsumer product testingHigh-throughput microbial assayPreservative

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Area of Science:

  • Microbiology
  • Biotechnology
  • Analytical Chemistry

Background:

  • Preservatives are crucial in home and personal care products to prevent microbial contamination.
  • Traditional antimicrobial efficacy testing (T-AET) is labor-intensive, time-consuming, and prone to variability.

Purpose of the Study:

  • To develop and validate a high-throughput, ATP-based, on-chip antimicrobial efficacy test (O-AET).
  • To provide a rapid, cost-effective, and scalable alternative to T-AET for preservative screening.

Main Methods:

  • Utilized a 384PillarPlate platform for O-AET with encapsulated bacteria (P. aeruginosa, E. cloacae, S. aureus).
  • Quantified microbial ATP levels using the BacTiter-Glo™ luminescence assay.
  • Evaluated industrial antimicrobials and nine detergent formulations (fresh and aged).

Main Results:

  • O-AET demonstrated low variability (CV < 8%) for industrial antimicrobials.
  • Log reduction data from O-AET strongly correlated with T-AET.
  • Achieved 98% sensitivity and 71% overall predictivity using a 3-log reduction cutoff.

Conclusions:

  • O-AET is a robust, reproducible, and high-throughput alternative to T-AET.
  • The platform significantly reduces reagent volume and turnaround time, offering cost-effectiveness.
  • O-AET has high potential for streamlining product development and preservative screening in consumer care applications.