Wavelength Selection Method Based on Absorbance Value Optimization to Near-Infrared Spectroscopic Analysis
نویسندگان
چکیده
Regarding absorption spectrum, high corresponds to low light transmittance and relatively loud noise, whereas information content, which interferes with the modeling of spectral analysis. Appropriate absorbance level is necessary improve content reduces noise level. In this study, based on selection upper lower bounds absorbance, value optimization partial least squares (AVO-PLS) method was proposed for appropriate wavelength model selection. Near-infrared spectroscopic analysis hyperlipidemia indicators, namely, total cholesterol (TC), triglyceride (TG), conducted validate predicted performance AVO-PLS. Well-performed methods, moving-window PLS (MW-PLS) continuous type-and successive projections algorithm (SPA) discrete type, were also comparison. The spectra first corrected using Savitzky–Golay smoothing. Modeling performed multiple partitioning calibration prediction sets avoid data over-fitting achieve parameter stability. selected ranged from 0.45 0.86 TC 0.92 TG, corresponding waveband combinations 1,376–1,388 1,560–1840 nm 1,376–1,390 1,552–1,846 TG. Among them, combination TG covers TC’s one, can be used high-precision cooperativity two indicators. Using independent validation samples, RMSEP R P 0.164 mmol l −1 0.990 0.096 0.997 obtained by model. And sensitivity specificity 98.0 100%, respectively. These values better than those MW-PLS SPA. Importantly, AVO-PLS a novel multi-band approach improving applicability. This expected obtain more applications.
منابع مشابه
Wavelength Selection for Near-Infrared Spectroscopic Analysis of Teicoplanin
Teicoplanin (TCP) is a multiple drug-resistant lipoglycopeptide antibiotic produced by fermenting Actinoplanes teichomyceticus. In this study, a mixture of TCP with the Tris-HCl buffer (TCP-TrisHCl) was used to simulate TCP fermentation broth. The reagent-free, rapid and simultaneous quantitative analysis models for TCP and Tris in the TCP-Tris-HCl mixtures were established by nearinfrared (NIR...
متن کاملAn Objective Wavelength Selection Method Based on Moving Window Partial Least Squares for Near-Infrared Spectroscopy
An objective wavelength selection method is proposed for near-infrared (NIR) spectroscopy mainly to overcome the possible subjectivity introduced by moving window partial least squares regression (MWPLS). This improved procedure (iMWPLS) introduced an indicator to evaluate importance of each wavelength and then all wavelengths were ranked by these indicators. On the basis of the indicator ranki...
متن کاملWavelength Optimization in Spectral Near Infrared Tomography
A method is developed to show that instead of using data from the entire spectrum, only selected spectral bands are required to improve image reconstruction accuracy in spectral diffuse optical tomography. ©2007 Optical Society of America OCIS codes: (100.3190) Inverse problems; (170.3660) Light propagation in tissues;
متن کاملPretreatment and Wavelength Selection Method for Near-Infrared Spectra Signal Based on Improved CEEMDAN Energy Entropy and Permutation Entropy
The noise of near-infrared spectra and spectral information redundancy can affect the accuracy of calibration and prediction models in near-infrared analytical technology. To address this problem, the improved Complete Ensemble Empirical Mode Decomposition with Adaptive Noise (CEEMDAN) and permutation entropy (PE) were used to propose a new method for pretreatment and wavelength selection of ne...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Frontiers in Physics
سال: 2021
ISSN: ['2296-424X']
DOI: https://doi.org/10.3389/fphy.2021.663573