/uploadfiles/site/img/20220304/6221a52bdbbcd.png

PRODUCTS CENTER

Service Hotline
+86-532-80921517
Mercury meter
Mercury meter
Mercury meter
Mercury meter
Mercury meter
Mercury meter
Mercury meter
Mercury meter
Mercury meter
JC-F732 series-V type cold atomic absorption mercury measuring instrument
  • Product name:JC-F732 series-V type cold atomic absorption mercury measuring instrument
  • Order number:
  • Model:
  • Stock status:Delivery according to contract
  • Logistics:by sea, by air, by express, etc.
  • Product Introduction
  • 1. Product introduction

     

    The Beer-Lambert Law states that the proportion of light absorbed by a transparent medium is independent of the intensity of the incident light; each equally thick medium absorbs the same proportion of light on the optical path. It is the third law of photochemistry. is the fundamental law of light absorption and applies to all electromagnetic radiation and all light-absorbing substances, including gases, solids, liquids, molecules, atoms, and ions. The Beer-Lambert law is the quantitative basis for absorptiometry, colorimetric analysis, and photoelectric colorimetry. The amount of light absorbed is proportional to the number of molecules in the optical path that absorb light.

     

    2. Product parameters

     

    1. Sensitivity: ≤ 0.1 μg/L

     

    2. Measuring range: 0-10.0 μg/L (add 5 ml of standard sample and 1 ml of reducing agent to the 20 ml reduction bottle)

     

    3. Stability: within the specified measurement range, the reading drift is ≤±2 words/3 minutes

     

    4. Precision: Coefficient of variation ≤5%

     

    5. Power supply voltage: 220 volts

     

    6. Instrument weight: 12 kg

     

    7. Dimensions: 510 × 300 × 135 mm

     

    3. Product Features

     

    JC-F732 series-V type cold atomic absorption mercury measuring instrument is equipped with a microcomputer system, the function is significantly enhanced, it can calculate the linear regression equation, standard deviation and coefficient of variation, and according to the parameters of the linear regression equation, calculate the content of the sample, and there are function to print out.



Recommended Products