• LK-2530 Intelligent variable temperature incubation soil greenhouse gas measurement system
  • LK-2530 Intelligent variable temperature incubation soil greenhouse gas measurement system

LK-2530 Intelligent variable temperature incubation soil greenhouse gas measurement system

No.LK-2530
  • LK-2530 Intelligent variable temperature incubation soil greenhouse gas measurement system
SPECIFICATION

Global warming caused by increasing atmospheric CO2 concentrations is one of the most serious challenges facing human society in the 21st century. The global soil organic carbon pool is about three times larger than the atmospheric carbon pool, so the release of CO2 through the decomposition of soil organic carbon has a significant impact on atmospheric CO2 concentrations, which in turn changes regional and global climate. The intensity of soil organic carbon decomposition is regulated by temperature, and its sensitivity to temperature is considered to be one of the key determinants of future climate change trends, and is a key assumption and important parameter in terrestrial climate prediction models. The temperature sensitivity of soil heterotrophic respiration is generally expressed as Q10 (the number of times the rate of heterotrophic respiration increases for every 10°C increase in temperature). From regional to global scales, most ecosystem models (e.g. RoLK-C, PnET, TEM, etc.) use the Q10 function to estimate the amount of temperature impact on soil heterotrophic respiration, but Q10 is often considered to be a constant 2 with a non-linear relationship with soil heterotrophic respiration, and small deviations from Q10 in the model can lead to large errors in the estimation and prediction of soil heterotrophic respiration. Small deviations in Q10 in the model can produce large errors in the estimation and prediction of soil heterotrophic respiration . The Intelligent Variable Temperature Incubation Soil Greenhouse Gas Measurement System uses continuous variable temperature incubation combined with continuous-high frequency soil microbial respiration rate measurement devices and techniques to overcome the important shortcomings of the constant temperature incubation model of soil microbial adaptation to specific incubation temperatures and uneven substrate consumption. The intelligent variable temperature incubation soil greenhouse gas measurement system can combine the temperature characteristics of the incubation process with continuous, high frequency testing (2-20min/time) of each sample during the ramp-up/down process to improve the accuracy of the Q10 fit by determining the respiration rate of soil microorganisms at a wider range of temperatures. The system allows for a customisable number of samples to be loaded simultaneously, facilitating the testing of large numbers of samples or large scale networking studies. In-depth understanding of the magnitude and temporal dynamics of soil respiration is valuable for predicting changes in the global soil carbon cycle under future climate scenarios and assessing carbon neutrality targets and related technical approaches.

Features

  • Standard with a 25-position 150mL sample tray, customisable with different volumes and numbers of positions
  • Split design, can be docked to various types of chillers, can choose different precision heating and cooling systems according to actual needs
  • Highly scalable, multiple sensors can be attached (e.g. button thermometer, humidity sensor, etc.)
  • High operability and powerful data processing capabilities, with the ability to process data online in real time
  • High level of user customisation
  • Specially designed thermostatic water baths for significantly increased temperature rise and fall rates
  • Three-way gas calibration module for real-time calibration of measurement data
  • Automatic operation 7*24 hours
  • Blow mode for effective prevention of sample inter-contamination
  • A wide range of lift temperature modules to choose from

Technical specifications

1. Temperature-controlled high-frequency soil microbial respirometry system

Sampling module: 3-axis vertical slide

Repeat positioning accuracy: ±0.5mm

Number of sample vial positions: 25 (customisable)

Vial volume: 150mL (customisable)

Internal gas circuit: Teflon tube

Gas flow rate: 1L/min (adjustable)

Calibration system: 3-way gas calibration module for automatic data calibration (optional)

Temperature rise and fall rates: refer to heating and cooling system parameters

Temperature control accuracy: refer to heating and cooling system parameters

Endurance: 7*24 hours automatic operation

Operating mode: Industrial control computer

Operating voltage: 220V

Expandability: Multiple data transmission channels are reserved, additional accessories and sensors can be added according to customer requirements

2.CO2 H2O analysis module (standard configuration, customisable)

CO2 measurement range: 0 ~ 2000 ppm (customisable)

CO2 Accuracy: Better than ±1% of reading

CO2 zero point drift: <0.15ppm/°C

CO2 span drift: <0.03%/°C

CO2 total drift: <0.4ppm/°C @ 370ppm

H2O measurement range: 0-6%

H2O Accuracy: Better than ±1.5% of reading

H2O zero point drift: 3ppm/°C

H2O span drift: <0.03%/°C

Total H2O drift: 9ppm/°C @ 10000ppm

Sampling flow rate: 1L/min standard, adjustable

Operating temperature: -20 ~ 45 °C

Humidity: <99% R.H, non-condensing

Operating pressure: 800 ~ 1150 mbar

T90 response time: 10 s as standard, adjustable

Calibration frequency: recommended once every 12 months

Output: RS-232, analogue output

Power supply: DC: 12-30 V, 0.3 A

Control: via data interface, controlled by the system host

3. Temperature control module (standard configuration, customisable)

Temperature range (°C): -28 ~50

Temperature control: PID, cascade

Temperature stability (°C): ±0.5

Set / display resolution: 0.1 °C

Pump flow rate (l/min): 11 - 16

Pump pressure (bar): 0.23-0.45

Charge volume (L): 20

External Pt100 sensor connection: Integrated

Communication interface: RS232

Heating power: 2 kW

Cooling compression: air cooled

Weight: 31 kg

Origin and ManufacturerChina Eco-mind