Air quality monitoring system and method

1. An air quality monitoring method comprising:

accepting analyte gas into a cell coated with:

a light-absorbing coating;

emitting light rays into the analyte gas;

reflecting the light rays into the analyte gas repeatedly across the cell;

directing the light rays across a path within the cell into at least one sensor in response to repeated reflections;

absorbing, by the light-absorbing coating of the cell, stray light rays from the light rays emitted into the analyte gas;

generating a first spectra signal and a second spectra signal in response to directing the light rays into the at least one sensor;

deconvoluting the first spectra signal and the second spectra signal based on properties of a light source emitting the light rays and optical properties of the at least one sensor at current temperature and pressure within the cell to generate a deconvoluted first spectra signal and a deconvoluted second spectra signal; and

determining a gaseous chemical based on the deconvoluted first spectra signal.

2. The air quality monitoring method of claim 1 , wherein the cell comprises at least one of:

an optical baffle, and

a reflection trap,

wherein the optical baffle and the reflection trap are configured to absorb the stray light rays emitted into the analyte gas.

3. The air quality monitoring method of claim 2 and further comprising:

collimating the light rays prior to emitting into the analyte gas; and

concentrating the light rays in response to collimating, prior to emitting the light rays into the analyte gas.

4. The air quality monitoring method of claim 1 and further comprising:

pumping the analyte gas, via one of at least one pump, into the cell; and

pumping the analyte gas, via one of at least one pump, out of the cell,

wherein the at least one pump provide laminar flow to the analyte gas within the cell.

5. The air quality monitoring method of claim 1 , wherein reflecting and directing the light rays along the path increases spectra-absorption and Signal to Noise (SNR) Ratio.

6. The air quality monitoring method of claim 1 , wherein the cell comprises at least two reflective surfaces at opposite ends to enable reflecting the light rays repeatedly into the cell.

7. The air quality monitoring method of claim 1 , wherein the at least one sensor is a spectrophotometric detector.

8. The air quality monitoring method of claim 1 , wherein the at least one sensor is a nephelometer detector.

9. The air quality monitoring method of claim 1 further comprising:

receiving a reference spectra at predetermined concentration of each of water vapor, carbon dioxide and methane from a database;

applying transfer function of the first spectra signal as a convolution to the reference spectra of each of water vapor, carbon dioxide, and methane, to generate convoluted reference spectra;

generating synthetic spectra of each of water vapor, carbon dioxide and methane from the convoluted reference spectra for a plurality of concentrations at a measured temperature and a measured pressure; and

determining an actual concentration of each of water, carbon dioxide and methane, by minimizing difference of generated synthetic spectra and an actual spectrum from the first spectra signal.

10. An air quality monitoring method comprising:

accepting analyte gas into a cell coated with:

a light-absorbing coating;

emitting light rays into the analyte gas;

reflecting the light rays into the analyte gas repeatedly across the cell;

directing the light rays across a path within the cell into at least one sensor in response to repeated reflections;

absorbing, by the light-absorbing coating on the cell, stray light rays from the light rays emitted into the analyte gas;

generating a first spectra signal and a second spectra signal in response to directing the light rays into the at least one sensor;

deconvoluting the first spectra signal and the second spectra signal based on properties of a light source emitting the light rays and optical properties of the at least one sensor at current temperature and pressure within the cell to generate a deconvoluted first spectra signal and a deconvoluted second spectra signal; and

identifying a particulate matter based on the deconvoluted second spectra signal.

11. The air quality monitoring method of claim 10 , wherein the cell comprises at least one of:

an optical baffle, and

a reflection trap,

wherein the optical baffle and the reflection trap are configured to absorb the stray light rays emitted into the analyte gas.

12. The air quality monitoring method of claim 10 , wherein the at least one sensor is a nephelometer detector.

13. The air quality monitoring method of claim 10 , wherein the at least one sensor is a spectrophotometric detector.

14. The air quality monitoring method of claim 10 , wherein identifying the particulate matter comprises determining at least one of a shape, a size, and an albedo associated with the particulate matter.

15. A system for air quality monitoring, the system comprising:

a light source that emits light rays;

a cell to accept light rays emitted from the light source, wherein the cell is coated with:

a light-absorbing coating;

wherein the cell accepts analyte gas, and the cell comprising:

two reflective surfaces located at opposite ends of the cell;

wherein the two reflective surfaces are to repeatedly reflect the light rays along a path across the cell and to direct the light rays into at least one sensor in response to repeated reflections; and

wherein the light-absorbing coating is configured to absorb stray light rays emitted from the light source;

wherein a first spectra signal and a second spectra signal is generated in response to directing the light rays into the at least one sensor; and

a processing module to:

deconvolute the first spectra signal and the second spectra signal based on properties of the light source emitting the light rays and optical properties of the at least one sensor at current temperature and pressure within the cell to generate a deconvoluted first spectra signal and a deconvoluted second spectra signal; and

determine a gaseous chemical based on the deconvoluted first spectra signal.

16. The system of claim 15 , wherein the cell comprises at least one of:

an optical baffle, and

a reflection trap,

wherein the optical baffle and the reflection trap are configured to absorb stray light rays from the light rays emitted into the analyte gas.

17. The system of claim 15 , further comprising:

at least one pump for:

pumping the analyte gas into the cell; and pumping the analyte gas out of the cell,

wherein the at least one pump provide laminar flow to the analyte gas within the cell.

18. The system of claim 15 , wherein the at least one sensor is a spectrophotometric detector.

19. The system of claim 15 , wherein the at least one sensor is a nephelometer detector.

20. A system for air quality monitoring, the system comprising:

a light source that emits light rays;

a cell to accept light rays emitted from the light source, wherein the cell is coated with:

a light-absorbing coating;

wherein the cell accepts analyte gas, the cell comprising:

two reflective surfaces located at opposite ends of the cell;

wherein the two reflective surfaces are to repeatedly reflect the light rays along a path across the cell and to direct the light rays into at least one sensor in response to repeated reflections; and

wherein the light-absorbing coating is configured to absorb stray light rays emitted from the light source;

wherein a first spectra signal and a second spectra signal is generated in response to directing the light rays into the at least one sensor, and

a processing module to:

deconvolute the first spectra signal and the second spectra signal based on properties of the light source emitting the light rays and optical properties of the at least one sensor at current temperature and pressure within the cell to generate a deconvoluted first spectra signal and a deconvoluted second spectra signal; and

identify particulate matter based on the deconvoluted second spectra signal.

21. The system of claim 20 , wherein the cell comprises at least one of:

an optical baffle, and

a reflection trap,

wherein the optical baffle and the reflection trap are configured to absorb stray light rays from the light rays emitted into the analyte gas.

22. The system of claim 20 , wherein identifying the particulate matter comprises:

determining at least one of a shape, a size, and an albedo associated with the particulate matter.

23. The system of claim 22 , wherein the processing module is to:

acquire a library of spectral responses for a type, the size, the shape, and the albedo associated with the particulate matter; and

identify a probable mixture of gases and particulate matter at ambient environmental concentration in a sample, using the library of spectral responses.

24. The system of claim 20 , wherein the at least one sensor is one of:

a nephelometer detector; and

a spectrophotometric detector.