Quantification method

1 . A method of quantifying an amount of a substance in a sample of material for a delivery system, the method comprising:

obtaining first near infra-red spectroscopy data for the sample of material in a first wavelength range;

obtaining second near infra-red spectroscopy data for the sample of material in a second wavelength range, wherein the second wavelength range is separated from the first wavelength range; and

using the first and second near infra-red spectroscopy data to estimate an amount of the substance in the sample of material;

wherein the first wavelength range covers the range from 5700 to 6100 cm-1; and

wherein the second wavelength range covers the range from 8200 to 9200 cm-1.

2 . The method of claim 1 , wherein the material comprises a liquid for a delivery system.

3 . The method of claim 1 , wherein the material comprises a solid for a delivery system.

4 . The method of claim 1 , wherein the material comprises a gel for a delivery system.

5 . The method of claim 1 , wherein the material comprises a material for an aerosol delivery system.

6 . The method of claim 1 , wherein the material comprises a material for use in an oral delivery system selected from a list comprising snus, snuff, gums, gels, spray, and patches.

7 . The method claim 1 , wherein the substance comprises an active substance.

8 . The method of claim 7 , wherein the substance comprises nicotine.

9 . The method of claim 7 , wherein the substance comprises a cannabinoid.

10 . The method claim 1 , wherein the substance comprises vegetable glycerine.

11 . The method of claim 1 , wherein the substance comprises propylene glycol.

12 . The method of claim 1 , wherein the substance comprises water.

13 . The method of claim 1 , wherein the amount of the substance in the sample of liquid is estimated using a chemometric model.

14 . The method of claim 13 , wherein the chemometric model is derived using a partial least squares approach.

15 . The method of claim 13 , wherein the chemometric model is derived using a neural network approach.

16 . The method of claim 13 , wherein the chemometric model is derived based on spectroscopy data for a plurality of calibration samples of liquid, wherein the plurality of samples of liquid have different known amounts of the substance.

17 . The method of claim 13 , wherein the amount of the substance in the sample of liquid is quantified by providing, as an input to the chemometric model, the first near infra-red spectroscopy data for the sample of liquid in the first wavelength range, and the second near infra-red spectroscopy data for the sample of liquid in the second wavelength range, and wherein the output of the chemometric model comprises an estimate of an amount of the substance in the sample of liquid.

18 . A method of obtaining calibration data to use for quantifying an amount of a substance in a sample of material for a delivery system, the method comprising:

obtaining first near infra-red spectroscopy data for a calibration sample of material containing a first known amount of the substance in a first wavelength range;

obtaining second near infra-red spectroscopy data for the calibration sample of material in a second wavelength range; and

combining the first near infra-red spectroscopy data and the second near infra-red spectroscopy data to provide the calibration data;

wherein the first wavelength range covers the range from 5700 to 6100 cm-1; and

wherein the second wavelength range covers the range from 8200 to 9200 cm-1.

19 . The method of claim 18 , further comprising:

obtaining further first near infra-red spectroscopy data for a further calibration sample of material containing a further known amount of the substance in a first wavelength range;

obtaining further second near infra-red spectroscopy data for the further calibration sample of material in a second wavelength range; and

combining the further first near infra-red spectroscopy data and the further second near infra-red spectroscopy data with the calibration data.

20 . A non-transitory computer program product for quantifying an amount of substance in a sample of material for a delivery system, the computer program product comprising instructions which, when the program is executed by a computer, cause the computer to carry out the steps of:

obtaining first near infra-red spectroscopy data for the sample of material in a first wavelength range;

obtaining second near infra-red spectroscopy data for the sample of material in a second wavelength range, wherein the second wavelength range is separated from the first wavelength range; and

using the first and second near infra-red spectroscopy data to estimate an amount of the substance in the sample of material;

wherein the first wavelength range covers the range from 5700 to 6100 cm −1 ; and

wherein the second wavelength range covers the range from 8200 to 9200 cm −1 .

21 . A non-transitory computer program product for obtaining calibration data to use for quantifying an amount of a substance in a sample of material for a delivery system, the computer program product comprising instructions which, when the program is executed by a computer, cause the computer to carry out the steps of:

obtaining first near infra-red spectroscopy data for the sample of material in a first wavelength range;

obtaining second near infra-red spectroscopy data for the sample of material in a second wavelength range, wherein the second wavelength range is separated from the first wavelength range; and

using the first and second near infra-red spectroscopy data to estimate an amount of the substance in the sample of material;

wherein the first wavelength range covers the range from 5700 to 6100 cm −1 ; and

wherein the second wavelength range covers the range from 8200 to 9200 cm −1 .