Article
Instruments & Instrumentation
Hannah Carruthers, Don Clark, Fiona Clarke, Karen Faulds, Duncan Graham
Summary: This study evaluated the differences between Raman and NIR chemical mapping methods in analyzing pharmaceutical tablets, with Raman data showing the best agreement with SEM-EDX images while NIR images exhibited significant differences. The study highlighted the superiority of using Raman chemical mapping for obtaining a more accurate representation of the sample surface and understanding knowledge gaps in manufacturing processes.
APPLIED SPECTROSCOPY
(2021)
Article
Pharmacology & Pharmacy
Ryo Ohashi, Tatsuo Koide, Toshiro Fukami
Summary: Transmission Raman spectroscopy (TRS) has been found to have practical prediction performance for drug content in tablets, even with variations in granulation parameters. It also shows good prediction performance for tablets manufactured at different granulation scales and thicknesses. Therefore, TRS is a versatile non-destructive quantitative analysis method that can be applied in tablet manufacturing.
EUROPEAN JOURNAL OF PHARMACEUTICS AND BIOPHARMACEUTICS
(2023)
Review
Chemistry, Multidisciplinary
Krzysztof B. Bec, Justyna Grabska, Christian W. Huck
Summary: In recent years, the technology of miniaturized near-infrared spectrometers has advanced significantly and had a revolutionary impact in various fields. These instruments employ diverse technological solutions, and continuous progress leads to the emergence of new devices in the market. The current focus in analytical NIR spectroscopy is on evaluating the devices and methods, as well as systematically characterizing their performance profiles.
CHEMISTRY-A EUROPEAN JOURNAL
(2021)
Article
Multidisciplinary Sciences
Chanat Thanavanich, Nutthatida Phuangsaijai, Chanidapha Thiraphatchotiphum, Parichat Theanjumpol, Sila Kittiwachana
Summary: This study developed a fast method for determining the sugar contents in milk tablets using near-infrared spectroscopy. The quantitative analysis was done using a training set of laboratory-scale milk samples, resulting in successful predictions of sugar contents. However, the physical difference between the laboratory-scale samples and the real milk tablets affected the predictive performance, so calibration transfer methods were used. The developed NIR-chemometric model can accurately and instantly predict the sugar contents in real milk tablets.
SCIENTIFIC REPORTS
(2022)
Article
Chemistry, Applied
Arian Amirvaresi, Nastaran Nikounezhad, Maryam Amirahmadi, Bahram Daraei, Hadi Parastar
Summary: The study found that NIR spectroscopy is more effective than MIR in predicting the origin of saffron samples, while PLS-DA shows high accuracy in detecting adulterants, with NIR demonstrating excellent performance in estimating the level of adulteration.
Article
Automation & Control Systems
Corenthin Mees, Jean-Michel Kauffmann, Juan Antonio Fernandez Pierna, Kris De Braekeleer
Summary: Near-infrared spectroscopy (NIRS) has diverse applications in quality control, and this study investigates the use of NIRS to identify different paracetamol tablets on the Belgian market. The results show that combining handheld NIRS spectrometers with benchtop instruments can improve the accuracy of the models.
JOURNAL OF CHEMOMETRICS
(2022)
Article
Chemistry, Multidisciplinary
Long Wang, Xi Wang, Xiaoyang Zhang, Qiang Zhang, Guangpu Fang, Ping Qiu, Wenlong Li
Summary: The feasibility of in vitro dissolution behavior prediction using a multi-source data fusion strategy was verified in this study, with sinomenine hydrochloride (SH) sustained release tablets as examples. Near-infrared (NIR) spectroscopy and Raman spectroscopy were employed to scan the mixed powders of SH sustained release tablets, followed by tablet preparation using an experimental design. Prediction models based on NIR spectra or Raman spectra individually were developed, and then data fusion models were built based on optimal principal components (PCs) combined with formulation variables and process parameters. The results indicated that the data fusion strategy provided a rapid solution for the quality evaluation of sustained release tablets.
NEW JOURNAL OF CHEMISTRY
(2023)
Article
Pharmacology & Pharmacy
Ryo Ohashi, Aria Fujii, Kanako Fukui, Tatsuo Koide, Toshiro Fukami
Summary: Transmission Raman spectroscopy was used to develop a non-destructive quantitative analytical model for the assay of a crystal dispersion-type ointment containing acyclovir. The optimized model showed good prediction performance for different label claims, indicating its usefulness in product development and quality control.
EUROPEAN JOURNAL OF PHARMACEUTICAL SCIENCES
(2022)
Article
Spectroscopy
Mingdi Liu, Jichao Liu, Qiuhong Wang, Ping Song, Haichao Li, Songgu Wu, Junbo Gong
Summary: This study aimed to quantitatively analyze the low content of CFZ or Mono-CFZ in tablets using PXRD, NIR, ATR-FTIR, and Raman, and establish PLSR calibration models. NIR was found to be the most suitable method for the quantitative analysis of CFZ or Mono-CFZ in tablets.
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
(2023)
Article
Spectroscopy
Karlis Berzins, Samuel D. L. Harrison, Claudia Leong, Sara J. Fraser-Miller, Michelle J. Harper, Aly Diana, Rosalind S. Gibson, Lisa A. Houghton, Keith C. Gordon
Summary: Raman and ATR-FTIR spectroscopy were used to analyze 208 breast milk samples as part of a larger research study. Comprehensive qualitative and quantitative analysis was carried out using chemometric methods, revealing the relationship between macronutrients and sample metadata. The study location and primary food sources were found to have a stronger impact on fat composition than its absolute content, highlighting the limitations and challenges of using spectroscopic techniques for this type of analysis.
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
(2021)
Article
Spectroscopy
Nana Adwoa Nkuma Johnson, Selorm Yao-Say Solomon Adade, Suleiman A. Haruna, John-Nelson Ekumah, Yongkun Ma
Summary: This study investigated the prospects of using near-infrared (NIR) spectroscopy and effective variable selection algorithms for quantifying phytochemical compounds in chickpea beverages. The competitive adaptive reweighted sampling-partial least squares (CARS-PLS) model showed superior performance in predicting biochanin A, chlorogenic acid, pcoumaric acid, and stigmasterol.
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
(2024)
Article
Biochemistry & Molecular Biology
Sonia Pielorz, Magdalena Weglinska, Sylwester Mazurek, Roman Szostak
Summary: This study established partial least squares models based on infrared, near-infrared, and Raman spectroscopy to quantify diosmin in tablets without the need for extraction. The results showed that the developed chemometric models accurately determined the diosmin content in eight commercial preparations.
Article
Pharmacology & Pharmacy
Nobel O. Sierra-Vega, Rafael A. Gonzalez-Rosario, Raul S. Rangel-Gil, Rodolfo J. Romanach, Rafael Mendez
Summary: This study utilized Raman and Near-infrared (NIR) spectroscopy to monitor drug concentration in flowing powder blends within a three-chamber feed frame. Calibration models were developed for predicting caffeine concentrations, with high predictive ability shown for both NIR and Raman spectroscopic models. Variability was observed in concentration profiles predicted by Raman spectroscopy, with mass analysis showing differences between the two techniques but equivalent blend uniformity results. Both techniques demonstrated low sampling errors for real-time monitoring of drug concentration within the feed frame.
INTERNATIONAL JOURNAL OF PHARMACEUTICS
(2022)
Article
Chemistry, Analytical
Davinia Brouckaert, Freddy Vandenbroucke, Fabien Chauchard, Martial Dollinger, Yves Roggo, Laurent Pellegatti, Markus Krumme
Summary: The authors present a flexible inspection module for in-line tablet analysis integrating multipoint NIR spectroscopy and 3D MRT technology, demonstrating its capabilities through an industrial case study on Diclofenac Sodium tablets. The combination of NIR spectroscopy for Diclofenac concentration prediction and 3D MRT for mass prediction allows for accurate estimation of each individual tablet's dosage. The study showed high accuracy and precision in predicting tablet dosage, with an average standard deviation below 0.5 mg, highlighting the added value of such inspection and sorting strategies based on calculated dosage.
JOURNAL OF PHARMACEUTICAL AND BIOMEDICAL ANALYSIS
(2022)
Article
Chemistry, Multidisciplinary
Jana Ziljak Grsic, Silvio Plehati, Ivana Ziljak Stanimirovic, Tomislav Bogovic
Summary: This study investigates the reflection and absorption properties of acrylic dyes and related materials in the visible and near infrared range. The aim is to understand their application in fine arts and simulate them for printing purposes. Two groups of acrylic dyes were examined using spectroscopy to determine their light absorption properties in the visible and near infrared regions. Measurements were taken with forensic cameras equipped with 24 light filters in the range of 400-1000 nm. The study aimed to gain insights into the properties of acrylic paints and simulate their behavior for artistic and printing purposes.
APPLIED SCIENCES-BASEL
(2023)