Abstract: A method and a system (300) for quantitatively analyzing constituents in a soap sample is described herein. In an aspect, a soap sample that includes the constituents to be quantified is irradiated with near-infrared light over a predetermined wavelength range of about 9000 cm-1 to about 4010 cm-1, to obtain a NIR spectrum. Further, a quantity of at least one constituent in the soap sample is determined based on a multivariate calibration model corresponding to the at least one constituent. In an aspect, spectral data of a subset of spectral regions in the NIR spectrum are used in the multivariate calibration model to determine the quantity of the at least one constituent in the soap sample
Claims:1. A method for quantitatively analysing constituents in a soap sample using a Near-Infrared Spectroscopy (NIRS), the method comprising:
irradiating, by a near-infrared spectrometer (302), the soap sample with near-infrared light over a predetermined wavelength range to obtain a NIR spectrum for the soap sample, wherein the predetermined wavelength range is about 9000 cm-1 to about 4010 cm-1; and
determining, by an analyzer (320), a quantity of at least one constituent in the soap sample based on a multivariate calibration model corresponding to the at least one constituent, wherein spectral data of a subset of spectral regions in the NIR spectrum are used in the multivariate calibration model, the subset of the spectral regions being based on the at least one constituent being quantified.
2. The method as claimed in claim 1, wherein the method comprising formulating the multivariate calibration model by:
irradiating, by the near-infrared spectrometer (302), a calibration set of soap samples over the predetermined wavelength range to obtain a calibration spectrum for each soap sample in the calibration set of soap samples;
determining a concentration of the at least one constituent in each soap sample of the calibration set of soap samples by a reference chemical analysis method; and
formulating, by a calibration module (322), the multivariate calibration model by correlating, for each soap sample, the calibration spectrum to the concentration of the at least one constituent using a multivariate technique.
3. The method as claimed in claim 2, wherein the multivariate technique is selected from: partial least squares technique (PLST), principal component regression technique (PCRT), artificial neutral network (ANN), multiple linear regression (MLR), Genetic algorithm, Gaussian Process Regression and Least-square support machine.
4. The method as claimed in claim 2, wherein the multivariate technique is partial least square technique (PLST).
5. The method as claimed in claim 2, wherein the multivariate calibration model is formulated using at least one of: calibration spectra of the calibration set of soap samples, first-order derivative of the calibration spectra, second-order derivative of the calibration spectra, and normalized calibration spectra.
6. The method as claimed in claim 2, wherein the reference chemical analysis method is a standardized industry method.
7. The method as claimed in claim 2, wherein the method comprises validating the multivariate calibration model by:
determining a quantity of the at least one constituent in each sample of a validation set of soap samples using the multivariate calibration model;
determining a concentration of the at least one constituent in each sample of the validation set of soap samples using the reference chemical analysis method; and
comparing the quantities with the concentrations of the at least one constituent in the validation set of soap samples to validate the multivariate calibration model.
8. The method as claimed in claim 1, wherein the at least one constituent is one of: total fatty matter, moisture, free caustic alkali, fatty acid composition, chloride, alcohol insoluble matter, and iodine value.
9. The method as claimed in claim 8, wherein the fatty acid composition in the soap sample is quantitatively analyzed using spectral data in spectral regions of about 9000cm-1 to about 7448 cm-1, and about 6904 cm-1 to about 6024 cm-1 of the NIR spectrum in the multivariate calibration model.
10. The method as claimed in claim 8, wherein the chloride in the soap sample is quantitatively analyzed using spectral data in spectral regions of about 9002cm-1 to about 7444 cm-1, and about 6904 cm-1 to about 6464 cm-1 of the NIR spectrum in the multivariate calibration model.
11. The method as claimed in claim 8, wherein the alcohol insoluble matter in the soap sample is quantitatively analyzed using spectral data in spectral regions of about 9002 cm-1 to about 7444 cm-1, and about 6904 cm-1 to about 6464 cm-1of the NIR spectrum in the multivariate calibration model.
12. The method as claimed in claim 8, wherein the free caustic alkali in the soap sample is quantitatively analyzed using spectral data in spectral regions of about 6904 cm-1 to about 6024 cm-1, and about 4952 cm-1 to about 4000 cm-1 of the NIR spectrum in the multivariate calibration model.
13. The method as claimed in claim 8, wherein the iodine value in the soap sample is quantitatively analyzed using spectral data in spectral region of about 6904 cm-1 to about 6024 cm-1 of the NIR spectrum in the multivariate calibration model.
14. The method as claimed in claim 8, wherein the moisture content in the soap sample is quantitatively analyzed using spectral data in spectral regions of about 7104 cm-1 to about 6400 cm-1, and about 5304 cm-1 to about 5120 cm-1 of the NIR spectrum in the multivariate calibration model.
15. The method as claimed in claim 8, wherein the total fatty matter in the soap sample is quantitatively analyzed using spectral data in spectral regions of about 9000 cm-1 to about 7450 cm-1, about 6900 cm-1 to about 6030 cm-1, about 6030 cm-1 to about 5500 cm-1, about 4950 cm-1 to about 4500 cm-1 and about 4500 cm-1 to about 4010 cm-1of the NIR spectrum in the multivariate calibration model.
16. The method as claimed in the claim 1, wherein the soap sample, the calibration set of soap samples, and the validation set of soap samples are crushed soap samples.
17. The method as claimed in the claim 1, wherein the soap sample is one of a soap noodle and a finished soap.
18. The method as claimed in claim 1, wherein the determined quantity of the at least one constituent in the soap sample is equivalent to a concentration of the at least one constituent in the soap sample determined by the reference chemical analysis method.
19. A system (300) for quantitatively analysing constituents in a soap sample using a Near-Infrared Spectroscopy (NIRS), the system (300) comprises:
a near-infrared spectrometer (302) to irradiate a soap sample with near-infrared light over a predetermined wavelength range to obtain an NIR spectrum for the soap sample, wherein the predetermined wavelength range is about 9000 cm-1 to about 4010 cm-1; and
an analyzer (320) determine a quantity of at least one constituent of the soap sample based on a multivariate calibration model corresponding to the at least one constituent, wherein spectral data of a subset of spectral regions in the NIR spectrum are used in the multivariate calibration model, the subset of the spectral regions being based on the at least one constituent being quantified.
20. The system (300) as claimed in claim 19, comprising a calibration module (322) executable by a processor (306) to formulate the multivariate calibration model by:
receiving a calibration spectrum over the predetermined wavelength range for each soap sample of a calibration set of soap samples;
receiving a concentration of the at least one constituent in each soap sample of the calibration set of soap samples, wherein the concentration is determined by a reference chemical analysis method; and
formulating the multivariate calibration model by correlating, for each soap sample, the calibration spectrum to the concentration of the at least one constituent using a multivariate technique.
21. The system (300) as claimed in claim 19, wherein the at least one constituent is one of: total fatty matter, moisture, free caustic alkali, fatty acid composition, chloride, alcohol insoluble matter, and iodine value.
22. The system (300) as claimed in claim 21, wherein the
the fatty acid composition in the soap sample is quantitatively analyzed, by the analyzer (320), using spectral data in spectral regions of about 9000cm-1 to about 7448 cm-1, and about 6904 cm-1 to about 6024 cm-1 of the NIR spectrum in the multivariate calibration model;
the chloride in the soap sample is quantitatively analyzed , by the analyzer (320), using spectral data in spectral regions of about 9002cm-1 to about 7444 cm-1, and about 6904 cm-1 to about 6464 cm-1 of the NIR spectrum in the multivariate calibration model;
the alcohol insoluble matter in the soap sample is quantitatively analyzed , by the analyzer (320), using spectral data in spectral regions of about 9002 cm-1 to about 7444 cm-1, and about 6904 cm-1 to about 6464 cm-1of the NIR spectrum in the multivariate calibration model;
the free caustic alkali of the soap sample is quantitatively analyzed, by the analyzer (320), using spectral data in spectral regions of about 6904 cm-1 to about 6024 cm-1, and about 4952 cm-1 to about 4000 cm-1 of the NIR spectrum in the multivariate calibration model;
the iodine value of the soap sample is quantitatively analyzed, by the analyzer (320), using spectral data in spectral region of about 6904 cm-1 to about 6024 cm-1 of the NIR spectrum in the multivariate calibration model;
the moisture content in the soap sample is quantitatively analyzed , by an analyzer (320), using spectral data in spectral regions of about 7104 cm-1 to about 6400 cm-1, and about 5304 cm-1 to about 5120 cm-1 of the NIR spectrum in the multivariate calibration model; and
the total fatty matter in the soap sample is quantitatively analyzed, by the analyzer (320), using spectral data in spectral regions of about 9000 cm-1 to about 7450 cm-1, about 6900 cm-1 to about 6030 cm-1, about 6030 cm-1 to about 5500 cm-1, about 4950 cm-1 to about 4500 cm-1 and about 4500 cm-1 to about 4010 cm-1of the NIR spectrum in the multivariate calibration model.
23. The system (300) as claimed in claim 19, wherein the determined quantity of at least one constituent in the soap sample is equivalent to a concentration of the at least one constituent in the soap sample determined by the reference chemical analysis method.
, Description:N/A
| # | Name | Date |
|---|---|---|
| 1 | 201641009868-Correspondence-F1-PA-080816.pdf | 2016-08-18 |
| 1 | Form 5 [21-03-2016(online)].pdf | 2016-03-21 |
| 2 | 201641009868-Form 1-080816.pdf | 2016-08-18 |
| 2 | Form 3 [21-03-2016(online)].pdf | 2016-03-21 |
| 3 | Drawing [21-03-2016(online)].pdf | 2016-03-21 |
| 3 | 201641009868-Power of Attorney-080816.pdf | 2016-08-18 |
| 4 | Form 13 [09-08-2016(online)].pdf | 2016-08-09 |
| 4 | Description(Complete) [21-03-2016(online)].pdf | 2016-03-21 |
| 5 | Other Document [09-08-2016(online)].pdf | 2016-08-09 |
| 5 | Other Patent Document [05-08-2016(online)].pdf | 2016-08-05 |
| 6 | Form 26 [05-08-2016(online)].pdf | 2016-08-05 |
| 7 | Other Document [09-08-2016(online)].pdf | 2016-08-09 |
| 7 | Other Patent Document [05-08-2016(online)].pdf | 2016-08-05 |
| 8 | Description(Complete) [21-03-2016(online)].pdf | 2016-03-21 |
| 8 | Form 13 [09-08-2016(online)].pdf | 2016-08-09 |
| 9 | 201641009868-Power of Attorney-080816.pdf | 2016-08-18 |
| 9 | Drawing [21-03-2016(online)].pdf | 2016-03-21 |
| 10 | Form 3 [21-03-2016(online)].pdf | 2016-03-21 |
| 10 | 201641009868-Form 1-080816.pdf | 2016-08-18 |
| 11 | Form 5 [21-03-2016(online)].pdf | 2016-03-21 |
| 11 | 201641009868-Correspondence-F1-PA-080816.pdf | 2016-08-18 |