Vi søger en produktspecialist
Vi søger en produktspecialist indenfor hurtigmetoder til måling af skimmelsvampe og bakterier i bygninger.
Vi søger en produktspecialist indenfor hurtigmetoder til måling af skimmelsvampe og bakterier i bygninger. Vi søger en person, der har erfaring med bygningsrenovering forårsaget af fugt og skimmel, og som har lyst til at udnytte sin viden i nye sammenhænge.
Rapid and Accurate Quantification of Fungi or Bacteria
The applications of the technology is very versatile and can be used to measure fungi and/or bacteria in almost all environments. The applications of the technology is very versatile and can be used to measure fungi and/or bacteria in almost all environments. In the built environment, it is used to determine the level of fungi and bacteria on surfaces of building materials, wood, painted surfaces, concrete, gypsum board, coatings, render, ceramic and fibreboard tiles, plastic, furniture, textiles, plant leaves, leather goods.
New! Mycometer is excited to introduce: “The Fungal to Allergen Index (FAI)”
FAI is an innovative assessment concept based on air sampling that can provide information on:
- Presence of a fungal source
- Potential exposure to fungi
- Potential exposure to total allergens
- Room cleanliness
Rethink Microbial Remediation Testing
Tired of getting results that deliver no clear interpretation and are difficult to communicate? Get results:
- in less than an hour
- with clear interpretation criteria
- without subjective evaluations by individual technicians
- using a US-EPA verified technology
- that have proven useful for more than 20 years in more than hundred thousand mould remediation cases
Mycometer Products
Applications of the Mycometer tool in the IAQ industry
Verified and Accepted Technology
Mycometers patented technology has been tested and verified by US-EPA (2011). Among other things the reproducibility of the tests and the linearity between microbial level and fluorescence signal was investigated. The reproducibility of samples tested by different technicians on two equipment’s was found to be very good with a relative standard deviation on the mean between 1.4 and 8.7 % when different assays and conditions were used. The calculated standard deviation calculation included variability contributions from both the sampling, the analysis, the analyst and instrumentation.
