ER832 CellStatz Microbial Growth Analyser
- Based on Capacitively-Coupled Contactless Conductivity Detection (C4D) technology.
- Designed for using NORELL™ Standard Series™ NMR Tubes, 5 mm OD, 1.8-2.2 mL.
- Designed for small conductivity change detection with high resolution.
- Automated monitoring growth of uniformly and non-uniformly dispersed microorganisms in simple substrates (e.g. liquid culture media) and complex substrates (e.g. blood, yogurt, minced meat, sewage, and sludge) with real-time display of growth kinetics curves.
- Zero consumables: The entire analysis process does not require microbial separation or purification, nor any physical, chemical, or biological additives or consumables.
A simple and user-friendly operating system that completes the entire analysis process automatically, with easy operation, good versatility, low application cost, and high accuracy.
The CellStatz Electronic Microbial Growth Analyzer is an intelligent research instrument that integrates constant temperature culture and real-time display of microbial growth processes. By non-invasively and continuously monitoring the capacitively coupled non-contact conductivity value of the system during microbial growth, the instrument can not only automatically generate growth curves with a time resolution of up to seconds but also automatically report the microbial growth rate and acceleration curve as well as the dynamic parameters on the curve. It is an ideal tool for efficient and accurate analysis of growth process information for bacteria, fungi, viruses, microalgae, cells, and other organisms.
Whether these microbial growth processes occur in simple matrices (such as culture media) or complex matrices (such as blood or sludge), the entire analysis process is fully automated, without the need for microbial separation and purification, as well as any physical, chemical, and biological aids and consumables. It has the characteristics of easy operation, good versatility, low application cost, and high accuracy, which can significantly improve the efficiency and input-output ratio of microbial growth-related research.
- Medicine - such as the development of antimicrobial agents and antibiotic susceptibility testing in complex biological substrates
- Clinical - such as rapid detection of bacteremia, physiological characteristics of pathogenic bacteria analysis, flow modulation
- Food - such as fermentation conditions optimization, fermentation process monitoring, rapid colony count detection and the development of new material
- Environment - such as the toxicological effects of nanomaterials, antibiotics and microplastics on environmental microorganisms
- Industry - such as development of selective MEDIA, study of corrosion resistance in construction projects and waste degradation
Life - such as microbial related theory and engineering technology research, genetic engineering
Tests - such as biological measurements of vitamins, amino acids, antibiotics, disinfectant and toxins
Ecology - such as research on water treatment, biofilm and activated sludge treatment processes
Agriculture - such as rapid detection of pathogenic vibrio in aquaculture water, research and development of microecological agents
- Quantification of Escherichia coli Growth Dynamics including Growth Kinetics, Growth Rate, and Acceleration
- Method for Counting the Total Number of Colonies in Ice Cream
- Rapid Determination Method for Total Colony Count of Pathogenic Vibrio in Clams
- Rapid Determination Method for Total Number of Pathogenic Vibrio Volonies in Shrimp Aquaculture Water
Automatically showing microbial growth kinetics with a high-performance microbial growth analyzer. Xuzhi Zhang, Qianqian Yang, Liangyu Ma, Dahai Zhang, Wentao Lin, Nick Schlensky, Hongrui Cheng, Yuanhui Zheng, Xiliang Luo, Caifeng Ding, Yan Zhang, Xiangyi Hou, Feng Lu, Hua Yan, Ruoju Wang, Chen-Zhong Li, Keming Qu. Biosensors and Bioelectronics - Volume 239, 1 November 2023, 115626
A universal automated method for determining the bacteriostatic activity of nanomaterials. Xuzhi Zhang, Xiaochun Wang, Hongrui Cheng, Yuanhui Zheng, Jun Zhao, Keming Qu. Journal of Hazardous Materials - Volume 413, 5 July 2021, 125320
- Power: 220V/250V AC. Cable supplied
- Computer connection: USB, Type B socket. Cable supplied
- Sample Volume: 1.8-2.2 mL
- Input linear range 1: 0 to 20.000 mS/cm
- Input linear range 2: 0 to 60.000 mS/cm
- Calibration: Single or Double points (with CellStatz™ software or Tera-term software)
- Up to 125 mV per mS/cm conductivity change
Inter-channel Parallelism Error: RSD≤2.0%
Reproducibility Error: RSD≤1.2%
Multi-channel Data Analysis via CellStatz™
- Normalisation and Calibration
- Reference and Offset
- 1st order and 2nd order derivative
- Smoothing and Curve fitting (Polynomial, Gaussian and Gompertz)
- Range:10 to 60 ℃, accuracy +/-0.5 ℃
Applicable cell population
- All uniformly or non-uniformly distributed bacteria, fungi, mircoalgae and viruses that can cause changes in dielectric conductivity (> 0.5 mS/cm) during growth