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Avance Aqua is expert in the development and provision of analytical instruments and technologies for Microorganism in water, soil and industry samples.
The Microorganism product line is specifically designed for applications in raw water quality monitoring, water treatment process control, disease prevention and control, food and beverage industries, and more.
It offers rapid testing solutions for indicators such as total bacterial count, total coliforms, Escherichia coli, Legionella pneumophila, and corrosion-causing microorganisms in water.
Product
bNovate BactoSense Automated Microbiological Monitoring System
Compared with traditional culture methods, which take 24-72 hours to get results, flow cytometry can complete rapid quantitative detection of microorganisms within minutes, with a detection sensitivity that is 2-3 orders of magnitude higher than that of culture methods.
Flow cytometry employs hydrodynamic focusing technology, enabling microorganisms in water samples to form a microfluidic single-cell fluid encapsulated by sheath fluid, which then rapidly passes through the laser detection zone. Through specific fluorescent staining and scattered light signal analysis, the system can obtain information such as cell viability, DNA content, cell size, and structural complexity. Flow cytometry is capable of distinguishing between intact and damaged bacteria, and can detect "viable but non-culturable (VBNC)" microorganisms that are unidentifiable by traditional culture methods.
Diamidex MICA Microcolony Counter
In traditional culture-based testing, microorganisms are counted manually during the final colony formation stage, which is time-consuming. Diamidex is committed to developing a series of rapid microbial analysis solutions based on culture principles. These solutions adhere to the "gold standard" culture methodology of traditional microbiology but offer shorter testing times, lower costs, and better result reproducibility.
MICA Series of rapid microbial analyzers integrates advanced microbial labeling, high-precision optical imaging, and machine learning AI technology to enable rapid analysis of indicators such as Legionella pneumophila, Alicyclobacillus, Pseudomonas aeruginosa, and total viable count. By detecting and counting microcolonies at an early stage, the system significantly reduces incubation time and improves analysis efficiency.