Real-time monitoring of solid dosage forms is crucial in continuous manufacturing processes for detecting product variability and bias and minimizing defective products. Traditional process analytical technologies often struggle to maintain high-throughput production. This study presents a novel approach using near-infrared (NIR) transmission spectroscopy for rapidly and comprehensively assessing the quality of solid dosage forms. A chemometric model was developed, based on NIR spectra obtained from tablets produced through wet granulation, to accurately predict active pharmaceutical ingredient (API). Performance was validated against the conventional high-performance liquid chromatography (HPLC) method, achieving a high correlation coefficient ( = 0.9979) and a low root-mean-square error of prediction (RMSEP = 1.09%). Critically, even at a high inspection speed of 250,000 tablets/h, the method maintained high analytical accuracy (RMSEP = 1.19%) and met content uniformity requirements (±15%). With negligible bias compared with HPLC across all formulations, the proposed NIR transmission spectroscopy method offers a powerful alternative for the rapid and precise quantification of API content and real-time quality control, thereby substantially contributing to quality assurance in continuous manufacturing processes.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1021/acs.analchem.4c06733 | DOI Listing |
Bioresour Bioprocess
March 2025
Departamento de Ingeniería Química, Facultad de Ingeniería y Ciencias, Universidad de La Frontera, Temuco, Chile.
Anthracophyllum hirsutum and Stereum hirsutum produce manganese peroxidase (MnP) and laccase to break down lignin, a potential biological pretreatment for lignocellulosic biomass. This work aimed to evaluate the effect of copper (Cu) and manganese (Mn) added to olive mill solid waste (OMSW) inoculated with A. discolor and S.
View Article and Find Full Text PDFInt J Biol Macromol
March 2025
Beijing Key Laboratory of Lignocellulosic Chemistry, Beijing Forestry University, College of Materials Science and Technology, Beijing 100083, China. Electronic address:
The simultaneous hydrolysis of cellulose and hemicellulose involves trade-offs, making precise control of hydrolysis products crucial for sustainable development. This study employed three machine learning (ML) models-Random Forest (RF), Extreme Gradient Boosting (XGB), and Support Vector Machines (SVM)-to simulate and predict the yields of xylose (Xyl), furfural (FF), glucose (Glu), 5-hydroxymethylfurfural (5-HMF), and levulinic acid (LA) in a phosphoric acid/acetone/water system. The RF model demonstrated the highest accuracy, with R values between 0.
View Article and Find Full Text PDFFood Chem
March 2025
College of Pharmacy, Xinjiang Medical University, Urumqi, Xinjiang 830017, China. Electronic address:
This study used Xinjiang native "medicinal and food dual-use" resource mulberries as raw material, and optimized the extraction process of mulberries anthocyanins by enzyme-ultrasound-assistance through the establishment of a response surface model (RSM) and deep neural network model (DNN). A single-factor-Box-Behnken experiment was conducted to investigate the effects of pectinase dosage, enzymatic hydrolysis time, ultrasonic temperature, ultrasonic time, solvent concentration, and solid-liquid ratio on the extraction rates of total anthocyanins (TAC), and cyanidin-3-O-glucoside (C3G), cyanidin-3-O-rutinoside (C3R) two anthocyanin compounds, and the comprehensive evaluation index was used as a reference to obtain the optimal extraction conditions. The results show that both the RSM and DNN models could predict accurately, but by comparing the coefficient of determination (R) of the two models, it was found that the DNN model (R = 0.
View Article and Find Full Text PDFAnal Chem
March 2025
Anritsu Corporation, 5-1-1, Onna, Atsugi-shi, Kanagawa 243-8555, Japan.
Real-time monitoring of solid dosage forms is crucial in continuous manufacturing processes for detecting product variability and bias and minimizing defective products. Traditional process analytical technologies often struggle to maintain high-throughput production. This study presents a novel approach using near-infrared (NIR) transmission spectroscopy for rapidly and comprehensively assessing the quality of solid dosage forms.
View Article and Find Full Text PDFBiol Methods Protoc
February 2025
School of Biological and Chemical Sciences, University of Galway, Galway, H91 TK33, Ireland.
Natural killer (NK) cells have emerged as promising candidates for novel immunotherapy strategies against various malignancies. Their unique ability to recognize and eliminate tumour cells without prior sensitization, coupled with the secretion of pro-inflammatory cytokines such as interferon-gamma and tumour necrosis factor, position them as promising agents in cancer therapy. Adoptive NK cell transfer has shown particular promise in haematological malignancies, where NK cell infusions could achieve remission in a high proportion of patients.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!