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Last Updated: Apr 26, 2025 | Study Period: 2023-2030
The Gas Imaging Spectrometer (GIS) is a set of instruments used to measure the chemical composition of a gas or vapor. It is a type of mass spectrometer that measures chemical species in the gas phase. The GIS consists of a detector, an ion source, and an analyzer.
The detector and ion source work together to ionize the gas sample, and the analyzer is used to measure the mass and chemical composition of the gas sample.
The GIS has a wide range of applications in the fields of environmental monitoring, process control, and medical diagnosis. For example, it can be used to measure the amount of pollutants and trace gases in the atmosphere, or to detect the presence of hazardous chemicals or contaminants in industrial processes.
It can also be used to identify and quantify volatile organic compounds (VOCs) in the environment, or to characterize the composition of human breath for medical diagnostics.
The GIS is an important tool in the study of atmospheric chemistry and air pollution. By measuring the chemical composition of a sample, researchers can gain insight into how chemicals interact with the environment, and how they affect human health.
The GIS is also used in industrial processes to ensure safety and quality control. It can be used to detect and quantify contaminants, or to ensure the proper operation of a process.
The Gas Imaging Spectrometer is a versatile tool that is used in a variety of settings. Its ability to measure the chemical composition of a sample quickly and accurately makes it an invaluable tool in the study of atmospheric chemistry and air pollution.
The Global Gas Imaging Spectrometer Market accounted for $XX Billion in 2022 and is anticipated to reach $XX Billion by 2030, registering a CAGR of XX% from 2023 to 2030.
A new type of OGIT is imaging gas correlation spectrometry (IGCSP), which was developed for the imaging of a particular gas using infrared cameras and gas filter correlation techniques.
By employing a sample of the gas being monitored as a spectral filter, the IGCSP approach often provides the ability for excellent signal to noise ratios and spectral resolution.
By removing infrared radiation absorbed or emitted by interference components and utilising the target gas's spectrum information throughout all spectral bands, gas filters assist achieve superior sensitivity. Furthermore, a lot of work has gone into moving optical gas imaging from detection and quantification to flow rate estimate in more recent times.
The efficiency of the IGCSP technique also makes it suitable for a variety of platforms, such as space shuttles, aeroplanes, and satellites, for a range of applications, including wind observations, pollution monitoring, and trace gas identification.
The goal of this project is to create a mid-infrared camera based on IGCSP that will enable two-dimensional CO mapping in car exhausts. They demonstrate that this method may use a sample of the gas under measurement as a spectral filter in order to isolate the spectral signal of the gas of interest from the overall signal. As such, background radiation and spectral interference from other key combustion products do not affect the mid-infrared camera based on IGCSP.
Simultaneously capturing the direct and gas-filtered photos can also help prevent motion variations in gas images that are induced by changes in camera or vehicle position. To the best of their knowledge, they present here the first example of quantifying and visualising vehicle exhausts using a mid-infrared camera based on intelligent gas correction system performance.
Because of the engine's operating conditions and ambient air flow, the concentration and temperature of gases in vehicle exhausts are not distributed uniformly. Depending on its temperature and composition, each and every particle or gas molecule emits radiation.
Sl no | Topic |
1 | Market Segmentation |
2 | Scope of the report |
3 | Abbreviations |
4 | Research Methodology |
5 | Executive Summary |
6 | Introduction |
7 | Insights from Industry stakeholders |
8 | Cost breakdown of Product by sub-components and average profit margin |
9 | Disruptive innovation in the Industry |
10 | Technology trends in the Industry |
11 | Consumer trends in the industry |
12 | Recent Production Milestones |
13 | Component Manufacturing in US, EU and China |
14 | COVID-19 impact on overall market |
15 | COVID-19 impact on Production of components |
16 | COVID-19 impact on Point of sale |
17 | Market Segmentation, Dynamics and Forecast by Geography, 2023-2030 |
18 | Market Segmentation, Dynamics and Forecast by Product Type, 2023-2030 |
19 | Market Segmentation, Dynamics and Forecast by Application, 2023-2030 |
20 | Market Segmentation, Dynamics and Forecast by End use, 2023-2030 |
21 | Product installation rate by OEM, 2023 |
22 | Incline/Decline in Average B-2-B selling price in past 5 years |
23 | Competition from substitute products |
24 | Gross margin and average profitability of suppliers |
25 | New product development in past 12 months |
26 | M&A in past 12 months |
27 | Growth strategy of leading players |
28 | Market share of vendors, 2023 |
29 | Company Profiles |
30 | Unmet needs and opportunity for new suppliers |
31 | Conclusion |
32 | Appendix |