Application of Laser-Induced Breakdown Spectroscopy Combined with Chemometrics for Identification of Penicillin Manufacturers
Due to the differences in raw materials and production processes, the quality of the same type of drug produced by different manufacturers is different. In drug supervision, determining the manufacturer can help to trace drug quality issues. In this study, a method for the quick identification of dr...
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MDPI AG
2022-05-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/12/10/4981 |
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| author | Kai Wei Qianqian Wang Geer Teng Xiangjun Xu Zhifang Zhao Guoyan Chen |
| author_facet | Kai Wei Qianqian Wang Geer Teng Xiangjun Xu Zhifang Zhao Guoyan Chen |
| author_sort | Kai Wei |
| collection | DOAJ |
| description | Due to the differences in raw materials and production processes, the quality of the same type of drug produced by different manufacturers is different. In drug supervision, determining the manufacturer can help to trace drug quality issues. In this study, a method for the quick identification of drug manufacturers based on laser-induced breakdown spectroscopy (LIBS) was proposed for the first time. We obtained the LIBS spectra from 12 samples of three types of penicillin (phenoxymethylpenicillin potassium tablets, amoxicillin capsules, and amoxicillin and clavulanate potassium tablets) produced by 10 manufacturers. The LIBS characteristic lines of the three types of penicillin were ranked by importance based on the decrease in the Gini index of random forest (RF). Three classifiers—the linear discriminant analysis (LDA), support vector machine (SVM) and artificial neural network (ANN)—were used to identify the different manufacturers of the three types of penicillin. RF-ANN provided the best classification result and an accuracy of 100% in penicillin manufacturer identification. The results show that LIBS combined with chemometrics could be used in the identification of penicillin manufacturers, and this method has application potential in drug quality supervision. |
| first_indexed | 2024-03-10T03:24:04Z |
| format | Article |
| id | doaj.art-0e161320518647659a239ab77784eb45 |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-10T03:24:04Z |
| publishDate | 2022-05-01 |
| publisher | MDPI AG |
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| series | Applied Sciences |
| spelling | doaj.art-0e161320518647659a239ab77784eb452023-11-23T09:55:59ZengMDPI AGApplied Sciences2076-34172022-05-011210498110.3390/app12104981Application of Laser-Induced Breakdown Spectroscopy Combined with Chemometrics for Identification of Penicillin ManufacturersKai Wei0Qianqian Wang1Geer Teng2Xiangjun Xu3Zhifang Zhao4Guoyan Chen5School of Optics and Photonics, Beijing Institute of Technology, Beijing 100081, ChinaSchool of Optics and Photonics, Beijing Institute of Technology, Beijing 100081, ChinaSchool of Optics and Photonics, Beijing Institute of Technology, Beijing 100081, ChinaSchool of Optics and Photonics, Beijing Institute of Technology, Beijing 100081, ChinaSchool of Optics and Photonics, Beijing Institute of Technology, Beijing 100081, ChinaSchool of Optics and Photonics, Beijing Institute of Technology, Beijing 100081, ChinaDue to the differences in raw materials and production processes, the quality of the same type of drug produced by different manufacturers is different. In drug supervision, determining the manufacturer can help to trace drug quality issues. In this study, a method for the quick identification of drug manufacturers based on laser-induced breakdown spectroscopy (LIBS) was proposed for the first time. We obtained the LIBS spectra from 12 samples of three types of penicillin (phenoxymethylpenicillin potassium tablets, amoxicillin capsules, and amoxicillin and clavulanate potassium tablets) produced by 10 manufacturers. The LIBS characteristic lines of the three types of penicillin were ranked by importance based on the decrease in the Gini index of random forest (RF). Three classifiers—the linear discriminant analysis (LDA), support vector machine (SVM) and artificial neural network (ANN)—were used to identify the different manufacturers of the three types of penicillin. RF-ANN provided the best classification result and an accuracy of 100% in penicillin manufacturer identification. The results show that LIBS combined with chemometrics could be used in the identification of penicillin manufacturers, and this method has application potential in drug quality supervision.https://www.mdpi.com/2076-3417/12/10/4981laser-induced breakdown spectroscopyqualitative analysischemometric methods |
| spellingShingle | Kai Wei Qianqian Wang Geer Teng Xiangjun Xu Zhifang Zhao Guoyan Chen Application of Laser-Induced Breakdown Spectroscopy Combined with Chemometrics for Identification of Penicillin Manufacturers Applied Sciences laser-induced breakdown spectroscopy qualitative analysis chemometric methods |
| title | Application of Laser-Induced Breakdown Spectroscopy Combined with Chemometrics for Identification of Penicillin Manufacturers |
| title_full | Application of Laser-Induced Breakdown Spectroscopy Combined with Chemometrics for Identification of Penicillin Manufacturers |
| title_fullStr | Application of Laser-Induced Breakdown Spectroscopy Combined with Chemometrics for Identification of Penicillin Manufacturers |
| title_full_unstemmed | Application of Laser-Induced Breakdown Spectroscopy Combined with Chemometrics for Identification of Penicillin Manufacturers |
| title_short | Application of Laser-Induced Breakdown Spectroscopy Combined with Chemometrics for Identification of Penicillin Manufacturers |
| title_sort | application of laser induced breakdown spectroscopy combined with chemometrics for identification of penicillin manufacturers |
| topic | laser-induced breakdown spectroscopy qualitative analysis chemometric methods |
| url | https://www.mdpi.com/2076-3417/12/10/4981 |
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