The demand for miniaturized near-infrared (NIR) spectrometers has surged due to their potential for in-situ analysis. However, their predictive accuracy has not yet matched that of traditional benchtop instruments. This study evaluates the effectiveness of rapid quantitative moisture analysis in hydroxypropyl methylcellulose (HPMC) using a benchtop spectrometer, Antaris II from Thermo Fisher Scientific Inc., and five miniaturized spectrometers (MicroNIR 1700 from Viavi Solutions, OTO-SW2540 from OtOPhotonics, IAS DLP 1700 from Dallas, NIRONE Sensor 2.2 from Helsinki, and NIRS M1800 from Alian Optoelectronics). This study employed an Improved Principal Component Analysis (IPCA) transfer method to standardize spectra from the diverse miniaturized NIR spectrometers, facilitating calibration transfer across different spectroscopic technologies. The benchtop (Antaris II) delivered the most superior results, indicating that miniaturized spectrometers must refine their methodologies to approach the predictive performance of benchtop counterparts. Further, this work conducted a two-dimensional correlation spectroscopy (2D-COS) analysis on the spectra from various spectrometers. This analysis bolstered the partial least squares regression (PLSR) model, highlighting discrepancies between miniaturized and benchtop spectrometers and deepening understanding of the factors influencing the PLSR models. The IPCA leverages the benchtop model to enhance the precision and reliability of miniaturized NIR spectrometers. This innovative and versatile research approach aims to further optimize the performance of miniaturized NIR spectrometers for specific applications, representing a significant step forward in their development.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1016/j.saa.2025.125889 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Urinary IR700 Ligand as an Early Biomarker of Therapeutic Efficacy of Near-Infrared Photoimmunotherapy.
ACS Omega
February 2025
Molecular Imaging Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland 20892, United States.
Near-infrared photoimmunotherapy (NIR-PIT) is a cell-selective cancer therapy employing monoclonal antibody-photoabsorber conjugates (APCs) and near-infrared (NIR) light. When exposed to NIR light, the photoabsorber, IR700, releases an axial ligand, resulting in a transition of the remaining molecule from water-soluble to hydrophobic. This results in the death of APC-bound cells by physical damage to the cell membrane.
View Article and Find Full Text PDFA Bright Organic Fluorophore for Accurate Measurement of the Relative Quantum Yield in the NIR-II Window.
Small
February 2025
Department of Chemistry, Hong Kong Branch of Chinese National Engineering Research Center for Tissue Restoration and Reconstruction, Department of Chemical and Biological Engineering, Division of Life Science, and State Key Laboratory of Molecular Neuroscience, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong, 999077, China.
Organic dyes with photoluminescence in the second near-infrared window (NIR-II, 1000-1700 nm) are promising for bioimaging and optoelectronic devices. Photoluminescence quantum yield (PLQY) is a direct measure of their performance. Integrating sphere technology is effective in determining the absolute PLQY.
View Article and Find Full Text PDFBenchtop and different miniaturized near-infrared spectrometers application study: Calibration transfer and 2D-COS for in-situ analysis of moisture content in HPMC.
Spectrochim Acta A Mol Biomol Spectrosc
May 2025
NMPA Key Laboratory for Technology Research and Evaluation of Drug Products, School of Pharmaceutical Sciences, Cheeloo College of Medicine, Shandong University, Jinan 250012 China; Key Laboratory of Chemical Biology (Ministry of Education), Shandong University, Jinan 250012 China; National Glycoengineering Research Center, Shandong University, Jinan 250012 China. Electronic address:
The demand for miniaturized near-infrared (NIR) spectrometers has surged due to their potential for in-situ analysis. However, their predictive accuracy has not yet matched that of traditional benchtop instruments. This study evaluates the effectiveness of rapid quantitative moisture analysis in hydroxypropyl methylcellulose (HPMC) using a benchtop spectrometer, Antaris II from Thermo Fisher Scientific Inc.
View Article and Find Full Text PDFQuantification of spectral measurement errors to guide preprocessing method selection: A case study on cannabinoid prediction across multiple NIR instruments.
Anal Chim Acta
March 2025
Universitat Rovira i Virgili, ChemoSens group, Department of Analytical Chemistry and Organic Chemistry, Campus Sescelades, 43007, Tarragona, (Catalonia), Spain.
This study investigates the influence of spectral measurement errors on the accuracy and reliability of Near-Infrared (NIR) spectroscopy in predicting cannabinoid content, specifically examining the variability across multiple NIR instruments of the same model and virtual instruments. Through a detailed case study using NeoSpectra miniaturised spectrometers, we explore the sources and structures of measurement errors, their covariance and correlation patterns, the implications on preprocessing, and subsequent model performance. This study also introduces the Integral Error Correlation Index (IECI), a novel metric designed to objectively quantify measurement error correlation, as meeting the independent and identically distributed (iid) error assumption is critical for Partial Least Squares (PLS) regression models.
View Article and Find Full Text PDFExploring the Dependence of Spectral Properties on Canopy Temperature with Ground-Based Sensors: Implications for Synergies Between Remote-Sensing VSWIR and TIR Data.
Sensors (Basel)
February 2025
Rutherford Appleton Laboratory, Harwell Campus, Didcot OX11 0QX, UK.
Spaceborne instruments have an irreplaceable role in detecting fundamental vegetation features that link physical properties to ecological theory, but their success depends on our understanding of the complex dynamics that control plant spectral properties-a scale-dependent challenge. We explored differences between the warmer and cooler areas of tree canopies with a ground-based experimental layout consisting of a spectrometer and a thermal camera mounted on a portable crane that enabled synergies between thermal and spectral reflectance measurements at the fine scale. Thermal images were used to characterise the thermal status of different parts of a dense circular cluster of containerised trees, and their spectral reflectance was measured.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!