title: High-throughput prediction of tablet weight and trimethoprim content of compound sulfamethoxazole tablets for controlling the uniformity of dosage units by NIR.
abstract: This paper establishes a novel method to simultaneously predict the tablet weight (TW) and trimethoprim (TMP) content of compound sulfamethoxazole tablets (SMZCO) by near infrared (NIR) spectroscopy with partial least squares (PLS) regression for controlling the uniformity of dosage units (UODU). The NIR spectra for 257 samples were measured using the optimized parameter values and pretreated using the optimized chemometric techniques. After the outliers were ignored, two PLS models for predicting TW and TMP content were respectively established by using the selected spectral sub-ranges and the reference values. The TW model reaches the correlation coefficient of calibration (R(c)) 0.9543 and the TMP content model has the R(c) 0.9205. The experimental results indicate that this strategy expands the NIR application in controlling UODU, especially in the high-throughput and rapid analysis of TWs and contents of the compound pharmaceutical tablets, and may be an important complement to the common NIR on-line analytical method for pharmaceutical tablets.
authors.affiliation: School of Pharmacy, Chongqing Medical University, Chongqing 400016, China.
authors.forename: Yanhong
authors.initials: Y
authors.lastname: Dong
authors.affiliation: School of Pharmacy, Chongqing Medical University, Chongqing 400016, China.
authors.forename: Juan
authors.initials: J
authors.lastname: Li
authors.affiliation: School of Pharmacy, Chongqing Medical University, Chongqing 400016, China.
authors.forename: Xiaoxiao
authors.initials: X
authors.lastname: Zhong
authors.affiliation: School of Pharmacy, Chongqing Medical University, Chongqing 400016, China.
authors.forename: Liya
authors.initials: L
authors.lastname: Cao
authors.affiliation: School of Pharmacy, Chongqing Medical University, Chongqing 400016, China.
authors.forename: Yang
authors.initials: Y
authors.lastname: Luo
authors.affiliation: School of Pharmacy, Chongqing Medical University, Chongqing 400016, China. Electronic address: fanqi787@cqmu.edu.cn.
authors.forename: Qi
authors.initials: Q
authors.lastname: Fan
mesh_terms: D000890:Anti-Infective Agents / Q000032:analysis*; D057166:High-Throughput Screening Assays / Q000379:methods; D016018:Least-Squares Analysis; D019265:Spectroscopy, Near-Infrared / Q000379:methods*; D013420:Sulfamethoxazole / Q000032:analysis*; D013607:Tablets; D014295:Trimethoprim / Q000032:analysis*
chemical_list: D000890:Anti-Infective Agents; D013607:Tablets; D014295:Trimethoprim; D013420:Sulfamethoxazole
keywords: Compound sulfamethoxazole tablets; Near infrared spectroscopy; Partial least squares regression; Tablet weight; Trimethoprim content; Uniformity of dosage units