Determining percent solids in suspension using Raman spectroscopy
View Patent ↗Methods and apparatus are provided for determining weight percent of solids in a suspension using Raman spectroscopy. The methods can be utilized to acquire Raman spectral data from the suspension and to determine weight percent of solids in a process being carried out, for example, in a vessel, without the need to remove samples for analysis. The weight percent of the solids can be determined with a desired accuracy in a relatively short time, typically 10 minutes or less. The acquired Raman spectral data may be processed by chemometric software using, for example, a partial least squares algorithm and data pretreatment to provide a predicted value of weight percent solids. In some embodiments, the invention is used to determine the weight percent of microparticles of a diketopiperazine in an aqueous solution.
1. A method for determining weight percent of solids in a suspension, comprising:
acquiring Raman spectral data from the suspension containing the solids; and
processing the Raman spectral data to determine weight percent of the solids in the suspension.
2. A method as defined in claim 1 , wherein processing the Raman spectral data includes executing a partial least squares algorithm with Savitzky-Golay first derivative data pretreatment.
3. A method as defined in claim 1 , wherein processing the Raman spectral data includes executing a partial least squares algorithm using two principal components.
4. A method as defined in claim 1 , wherein the Raman spectral data is processed by a computing device executing a partial least squares algorithm with data pretreatment.
5. A method as defined in claim 1 , wherein processing the Raman spectral data includes executing a regression algorithm comprising a partial least squares, multiple linear regression, or principal component regression, with or without data pretreatment.
6. A method for determining weight percent of diketopiperazine microparticles in a suspension, comprising:
acquiring Raman spectral data from the suspension while the diketopiperazine microparticles are in the suspension; and
processing the Raman spectral data to determine weight percent of the diketopiperazine microparticles in the suspension.
7. A method as defined in claim 6 , wherein the microparticles have a size in a range of 0.1 to 34 micrometers.
8. A method as defined in claim 6 , wherein acquiring Raman spectral data includes acquiring data in a range of 1180 to 1800 cm −1 and a range of 2782 to 3136 cm −1 .
9. A method as defined in claim 6 , wherein processing the Raman spectral data includes executing a partial least squares algorithm with Savitzky-Golay first derivative data pretreatment.
10. A method as defined in claim 6 , wherein processing the Raman spectral data includes executing a partial least squares algorithm using two principal components.
11. A method as defined in claim 6 , wherein the Raman spectral data is processed by a computing device executing a partial least squares algorithm with data pretreatment.
12. A method as defined in claim 6 , wherein processing the Raman spectral data includes executing a regression algorithm comprising a partial least squares, multiple linear regression, or principal component regression, with or without data pretreatment.
13. A method as defined in claim 12 , wherein the data pretreatment is selected from multiplicative and extended multiplicative scatter correction, standard normal variate, various derivatives, and normalizations.
14. A method for determining weight percent of diketopiperazine microparticles in a suspension, comprising:
acquiring Raman spectral data in a range of 1180 to 1800 cm −1 and a range of 2782 to 3136 cm −1 from an aqueous suspension containing the diketopiperazine microparticles; and
determining the weight percent of the diketopiperazine microparticles in the suspension based on the acquired Raman spectral data.
15. A method as defined in claim 14 , wherein the microparticles have a size in a range of 0.1 to 34 micrometers.
16. A method as defined in claim 14 , wherein determining the weight percent includes executing a partial least squares algorithm with Savitzky-Golay first derivative data pretreatment.
17. A method as defined in claim 14 , wherein determining the weight percent includes executing a partial least squares algorithm using two principal components.
18. A method as defined in claim 14 , wherein the Raman spectral data is processed by a computing device executing a partial least squares algorithm with data pretreatment.
19. A method as defined in claim 14 , wherein determining the weight percent includes executing a regression algorithm comprising a partial least squares, multiple linear regression, or principal component regression, with or without data pretreatment.
20. A method as defined in claim 19 , wherein the data pretreatment is selected from multiplicative and extended multiplicative scatter correction, standard normal variate, various derivatives, and normalizations.
21. A method as defined in claim 14 , further comprising mixing the aqueous suspension until acquisition of the Raman spectral data is completed.
22. A method as defined in claim 14 , wherein determining the weight percent includes using a calibration model to provide a predicted value of weight percent.