Determination Of Multivitamin Levels In Syrup Preparations By Ultraviolet Spectrophotometry Using The Multivariate Chemometric Method

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Introduction

Multivitamin syrup preparations that contain a combination of vitamins B1, B2, B6, and nicotinamides are one of the essential health products for humans. These preparations play a crucial role in maintaining various biological processes in the body. Therefore, the determination of vitamin levels in this preparation is necessary to ensure that the concentration of vitamins meets human needs. This article will discuss the ultraviolet spectrophotometry method combined with a multivariate chemometric analysis, namely Partial Least Square (PLS), in measuring the levels of vitamins.

Background

The combination of vitamins B1, B2, B6, and nicotinamides has a vital role in various biological processes in the body. Therefore, testing the concentration of levels is very important so that the multivitamin syrup preparations produced can meet established standards. The ultraviolet spectrophotometry method is one of the techniques that can be used to determine the level of active compounds in these preparations. This method is widely used in various fields, including pharmaceuticals, due to its accuracy and reliability.

Research Purposes

The main purpose of this study is to validate chemometric spectrophotometry methods combined with Multivariate PLS calibration and determine the levels of vitamins B1, B2, B6, and nicotinamides in syrup preparations. Through this research, it is expected that an accurate and reliable method can be obtained for multivitamin analysis. This study aims to provide a reliable and efficient method for determining the levels of vitamins in multivitamin syrup preparations.

Methodology

In this study, the calibration model of chemometrics was made with five different concentrations. Absorbance measurements are carried out at a wavelength of 210-280 Nm at an interval of 2 Nm. Furthermore, the results of the analysis are evaluated using parameters R², Press (Prediction Sum of Squares), and RMSCEV (Root Mean Square Error of Cross-Validation). The PLS calibration model was used to analyze the data and determine the levels of vitamins.

Results and Discussion

The results showed that the method used was valid, with precision parameters expressed through relative standard deviations (SBR) for vitamins B1, B2, B6, and nicotinamides each of 1,498%; 1,3286%; 1,6318%; and 1,5257%. As for the accuracy parameters, the percentage of acquisition is obtained by 100.21%; 100.26%; 99.56%; and 99.73%. These results indicate that the method used is accurate and reliable.

In Multivariate PLS calibration, the RMSECV value for each vitamin is 0.1750; 0.11; 0.0366; and 0.04753. The press value obtained is 1,1028; 0.4377; 0.04836; and 0.0814, while the R² value is 0.99967; 0.9998; 0.9999; and 0.9998. With these results, it can be concluded that the prediction capability of this method is very good and can be relied upon for determining vitamin levels.

Furthermore, the results of determining the levels of vitamins B1, B2, B6, and nicotinamide were obtained at 96.24%; 97.43%; 102.47%; and 97.49%. These results indicate that the multivitamin syrup preparation tested meets the established standards.

Conclusion

Based on the results of the analysis and discussion above, it can be concluded that the Multivariate PLS chemometric method used for determining the levels of vitamins B1, B2, B6, and Nicotinamide in the syrup preparation has met the requirements and standards set by USP XXII (1989) and Pharmacopoeia IV (1995). This study provides an important contribution in improving the quality and safety of multivitamin syrup preparations on the market.

Recommendations

This study recommends the use of the Multivariate PLS chemometric method for determining the levels of vitamins in multivitamin syrup preparations. This method is accurate, reliable, and efficient, making it a suitable choice for quality control and assurance in the pharmaceutical industry.

Future Studies

Future studies can focus on the application of this method in other fields, such as food and cosmetics, where the determination of vitamin levels is crucial. Additionally, the development of new chemometric methods and techniques can be explored to improve the accuracy and reliability of vitamin level determination.

Limitations

This study has some limitations, including the use of a limited number of samples and the lack of comparison with other methods. Future studies can address these limitations by increasing the number of samples and comparing the results with other methods.

Conclusion

In conclusion, this study demonstrates the effectiveness of the Multivariate PLS chemometric method in determining the levels of vitamins B1, B2, B6, and Nicotinamide in syrup preparations. This method is accurate, reliable, and efficient, making it a suitable choice for quality control and assurance in the pharmaceutical industry.

Q: What is the purpose of determining multivitamin levels in syrup preparations?

A: The purpose of determining multivitamin levels in syrup preparations is to ensure that the concentration of vitamins meets human needs. This is crucial for maintaining various biological processes in the body.

Q: What is the ultraviolet spectrophotometry method?

A: The ultraviolet spectrophotometry method is a technique used to determine the level of active compounds in preparations. It involves measuring the absorbance of light by the sample at specific wavelengths.

Q: What is the Multivariate PLS chemometric method?

A: The Multivariate PLS chemometric method is a statistical technique used to analyze data and determine the levels of vitamins in syrup preparations. It involves using a calibration model to predict the levels of vitamins based on the absorbance data.

Q: What are the advantages of using the Multivariate PLS chemometric method?

A: The advantages of using the Multivariate PLS chemometric method include its accuracy, reliability, and efficiency. It can also handle complex data and provide a high degree of precision.

Q: What are the limitations of the Multivariate PLS chemometric method?

A: The limitations of the Multivariate PLS chemometric method include the need for a large number of samples and the potential for overfitting. Additionally, the method may not be suitable for all types of data.

Q: How can the Multivariate PLS chemometric method be applied in other fields?

A: The Multivariate PLS chemometric method can be applied in other fields such as food and cosmetics, where the determination of vitamin levels is crucial. It can also be used in pharmaceuticals, biotechnology, and other industries where quality control and assurance are essential.

Q: What are the future directions for research on the Multivariate PLS chemometric method?

A: Future directions for research on the Multivariate PLS chemometric method include the development of new chemometric methods and techniques, the application of the method in other fields, and the improvement of the method's accuracy and reliability.

Q: What are the implications of this study for the pharmaceutical industry?

A: The implications of this study for the pharmaceutical industry are significant. The Multivariate PLS chemometric method can be used to improve the quality and safety of multivitamin syrup preparations, which can lead to better health outcomes for consumers.

Q: What are the implications of this study for the food and cosmetics industries?

A: The implications of this study for the food and cosmetics industries are also significant. The Multivariate PLS chemometric method can be used to determine the levels of vitamins in food and cosmetics products, which can lead to better health outcomes for consumers.

Q: What are the implications of this study for the biotechnology industry?

A: The implications of this study for the biotechnology industry are also significant. The Multivariate PLS chemometric method can be used to determine the levels of vitamins in biotechnology products, which can lead to better health outcomes for consumers.

Q: What are the implications of this study for the development of new chemometric methods and techniques?

A: The implications of this study for the development of new chemometric methods and techniques are significant. The study demonstrates the effectiveness of the Multivariate PLS chemometric method, which can lead to the development of new chemometric methods and techniques that are more accurate and reliable.

Q: What are the implications of this study for the improvement of the quality and safety of multivitamin syrup preparations?

A: The implications of this study for the improvement of the quality and safety of multivitamin syrup preparations are significant. The study demonstrates the effectiveness of the Multivariate PLS chemometric method, which can lead to the improvement of the quality and safety of multivitamin syrup preparations.