Adjustable and fully automated Gas Mixers
Gas Blender from MCQMCQ's compact and versatile gas blenders allows to precisely adjust flow concentrations, on up to 6 input channels and a minimum of 0 – 200 mL/min of flow rate per channel. These Italian-made mixers are ideal for a wide range of applications, trusted by renowned institutions around the world.
They include intuitive touchscreen interface and free-licensed software.
- Compact, quick and easy to use
- Automated measurements with feedback control technology
- Up to 6 input channels
- High accuracy: 1,0% of the set point
- High repeatability: 0,10% of the rdg
Further information
Start thinking simple with MCQ instruments that provide gas mixing solutions to cater to all your requirements. Our state-of-the-art devices are expertly designed to suit specific applications, spanning from nano to high flows. Additionally, you can have all-in-one solution with gas mixing and pressure controller, ensuring precise and reliable performance also for vacuum applications.
Accuracy: The gas mixers have an accuracy of 1% of the set point for gas mixtures from 5% to 100% full scale. For gas mixtures below 5% full scale, the accuracy is 0.2% of the full scale.
Repeatability: The gas mixers have a repeatability of 0.10% of the reading, ensuring consistent and reliable performance.
Response Time: Each channel of the gas mixers has a rapid response time from 50 ms, allowing for quick adjustments and precise control.
Applications
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Videos
Luong, Hoang & Pham, Minh & Guin, Tyler & Madhogaria, Richa & Phan, Manh-Huong & Larsen, George & Nguyen, T.. (2021). Sub-second and ppm-level optical sensing of hydrogen using templated control of nano-hydride geometry and composition. Nature Communications. 10.1038/s41467-021-22697-w.
Wan, Hao & Gan, Ying & Sun, Jiadi & Liang, Tao & Zhou, Shuqi & Wang, Ping. (2019). High sensitive reduced graphene oxide-based room temperature ionic liquid electrochemical gas sensor with carbon-gold nanocomposites amplification. Sensors and Actuators B: Chemical. 299. 126952. 10.1016/j.snb.2019.126952.
Campillo, Noelia & Jorba, Ignasi & Schaedel, Laura & Casals Montserrat, Blai & Gozal, David & Farré, Ramon & Almendros, Isaac & Navajas, Daniel. (2016). A Novel Chip for Cyclic Stretch and Intermittent Hypoxia Cell Exposures Mimicking Obstructive Sleep Apnea. Frontiers in Physiology. 7. 10.3389/fphys.2016.00319.
Kumar, Swatantar & Herrmann, Martina & Blohm, Annika & Hilke, Ines & Frosch, Torsten & Trumbore, Susan & Küsel, Kirsten. (2018). Thiosulfate- and hydrogen-driven autotrophic denitrification by a microbial consortium enriched from groundwater of an oligotrophic limestone aquifer. FEMS Microbiology Ecology. 94. 10.1093/femsec/fiy141.
Jason Zalev, Lisa M. Richards, Bryan A. Clingman, Jeff Harris, Edgar Cantu, Gisela L. G. Menezes, Carlos Avila, Allison Bertrand, Xavier Saenz, Steve Miller, Alexander A. Oraevsky, Michael C. Kolios, (2019) Opto-acoustic imaging of relative blood oxygen saturation and total hemoglobin for breast cancer diagnosis. J. Biomed. Opt. 24(12), 121915, 10.1117/1.JBO.24.12.121915.
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Quantum Design s.r.l.
Via Francesco Sapori, 27
00143 Roma
Italy
| Phone: | +39 06 5004204 |
| Fax: | +39 06 5010389 |
| E-mail: | italy@qd-europe.com |
