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Zhang H, Tan H, Lin B, Yang X, Sun Z, Zhong L, Gao L, Li L, Dong Q, Nie L, Zang H. Improved Principal Component Analysis (IPCA): A Novel Method for Quantitative Calibration Transfer between Different Near-Infrared Spectrometers. Molecules 2023; 28:molecules28010406. [PMID: 36615595 PMCID: PMC9823907 DOI: 10.3390/molecules28010406] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/03/2022] [Revised: 12/25/2022] [Accepted: 12/30/2022] [Indexed: 01/04/2023]
Abstract
Given the labor-consuming nature of model establishment, model transfer has become a considerable topic in the study of near-infrared (NIR) spectroscopy. Recently, many new algorithms have been proposed for the model transfer of spectra collected by the same types of instruments under different situations. However, in a practical scenario, we need to deal with model transfer between different types of instruments. To expand model applicability, we must develop a method that could transfer spectra acquired from different types of NIR spectrometers with different wavenumbers or absorbance. Therefore, in our study, we propose a new methodology based on improved principal component analysis (IPCA) for calibration transfer between different types of spectrometers. We adopted three datasets for method evaluation, including public pharmaceutical tablets (dataset 1), corn data (dataset 2), and the spectra of eight batches of samples acquired from the plasma ethanol precipitation process collected by FT-NIR and MicroNIR spectrometers (dataset 3). In the calibration transfer for public datasets, IPCA displayed comparable results with the classical calibration transfer method using piecewise direct standardization (PDS), indicating its obvious ability to transfer spectra collected from the same types of instruments. However, in the calibration transfer for dataset 3, our proposed IPCA method achieved a successful bi-transfer between the spectra acquired from the benchtop and micro-instruments with/without wavelength region selection. Furthermore, our proposed method enabled improvements in prediction ability rather than the degradation of the models built with original micro spectra. Therefore, our proposed method has no limitations on the spectrum for model transfer between different types of NIR instruments, thus allowing a wide application range, which could provide a supporting technology for the practical application of NIR spectroscopy.
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Affiliation(s)
- Hui Zhang
- NMPA Key Laboratory for Technology Research and Evaluation of Drug Products, School of Pharmaceutical Sciences, Cheeloo College of Medicine, Shandong University, Wenhuaxi Road 44, Jinan 250012, China
- National Glycoengineering Research Center, Shandong University, Qingdao 266237, China
- NMPA Key Laboratory for Quality Research and Evaluation of Carbohydrate-Based Medicine, Shandong University, Qingdao 266237, China
- Shandong Provincial Technology Innovation Center of Carbohydrate, Shandong University, Qingdao 266237, China
| | - Haining Tan
- National Glycoengineering Research Center, Shandong University, Qingdao 266237, China
- NMPA Key Laboratory for Quality Research and Evaluation of Carbohydrate-Based Medicine, Shandong University, Qingdao 266237, China
- Shandong Provincial Technology Innovation Center of Carbohydrate, Shandong University, Qingdao 266237, China
| | - Boran Lin
- NMPA Key Laboratory for Technology Research and Evaluation of Drug Products, School of Pharmaceutical Sciences, Cheeloo College of Medicine, Shandong University, Wenhuaxi Road 44, Jinan 250012, China
| | - Xiangchun Yang
- NMPA Key Laboratory for Technology Research and Evaluation of Drug Products, School of Pharmaceutical Sciences, Cheeloo College of Medicine, Shandong University, Wenhuaxi Road 44, Jinan 250012, China
| | - Zhongyu Sun
- NMPA Key Laboratory for Technology Research and Evaluation of Drug Products, School of Pharmaceutical Sciences, Cheeloo College of Medicine, Shandong University, Wenhuaxi Road 44, Jinan 250012, China
| | - Liang Zhong
- NMPA Key Laboratory for Technology Research and Evaluation of Drug Products, School of Pharmaceutical Sciences, Cheeloo College of Medicine, Shandong University, Wenhuaxi Road 44, Jinan 250012, China
| | - Lele Gao
- NMPA Key Laboratory for Technology Research and Evaluation of Drug Products, School of Pharmaceutical Sciences, Cheeloo College of Medicine, Shandong University, Wenhuaxi Road 44, Jinan 250012, China
| | - Lian Li
- NMPA Key Laboratory for Technology Research and Evaluation of Drug Products, School of Pharmaceutical Sciences, Cheeloo College of Medicine, Shandong University, Wenhuaxi Road 44, Jinan 250012, China
| | - Qin Dong
- NMPA Key Laboratory for Technology Research and Evaluation of Drug Products, School of Pharmaceutical Sciences, Cheeloo College of Medicine, Shandong University, Wenhuaxi Road 44, Jinan 250012, China
| | - Lei Nie
- NMPA Key Laboratory for Technology Research and Evaluation of Drug Products, School of Pharmaceutical Sciences, Cheeloo College of Medicine, Shandong University, Wenhuaxi Road 44, Jinan 250012, China
- Correspondence: (L.N.); (H.Z.); Tel.: +86-531-8838-2330 (L.N.); +86-531-8838-0268 (H.Z.)
| | - Hengchang Zang
- NMPA Key Laboratory for Technology Research and Evaluation of Drug Products, School of Pharmaceutical Sciences, Cheeloo College of Medicine, Shandong University, Wenhuaxi Road 44, Jinan 250012, China
- Correspondence: (L.N.); (H.Z.); Tel.: +86-531-8838-2330 (L.N.); +86-531-8838-0268 (H.Z.)
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