Reprint

Advances in Near Infrared Spectroscopy and Related Computational Methods

Edited by
January 2020
496 pages
  • ISBN978-3-03928-052-0 (Paperback)
  • ISBN978-3-03928-053-7 (PDF)

This book is a reprint of the Special Issue Advances in Near Infrared Spectroscopy and Related Computational Methods that was published in

Chemistry & Materials Science
Medicine & Pharmacology
Summary

In the last few decades, near-infrared (NIR) spectroscopy has distinguished itself as one of the most rapidly advancing spectroscopic techniques. Mainly known as an analytical tool useful for sample characterization and content quantification, NIR spectroscopy is essential in various other fields, e.g. NIR imaging techniques in biophotonics, medical applications or used for characterization of food products. Its contribution in basic science and physical chemistry should be noted as well, e.g. in exploration of the nature of molecular vibrations or intermolecular interactions. One of the current development trends involves the miniaturization and simplification of instrumentation, creating prospects for the spread of NIR spectrometers at a consumer level in the form of smartphone attachments—a breakthrough not yet accomplished by any other analytical technique. A growing diversity in the related methods and applications has led to a dispersion of these contributions among disparate scientific communities. The aim of this Special Issue was to bring together the communities that may perceive NIR spectroscopy from different perspectives. It resulted in 30 contributions presenting the latest advances in the methodologies essential in near-infrared spectroscopy in a variety of applications.

Format
  • Paperback
License
© 2020 by the authors; CC BY license
Keywords
hyperspectral imaging; variety discrimination; Chrysanthemum; deep convolutional neural network; DNA; FTIR spectroscopy; rapid identification; PLS-DA; animal origin; near-infrared hyperspectral imaging; raisins; support vector machine; pixel-wise; object-wise; maize kernel; hyperspectral imaging technology; accelerated aging; principal component analysis; support vector machine model; standard germination tests; blackberries; Rubus fructicosus; phenolics; carotenoids; bioanalytical applications; near infrared; chemometrics; VIS/NIR hyperspectral imaging; corn seed; classification; freeze-damaged; image processing; imaging visualization; wavelength selection; NIR spectroscopy; binary dragonfly algorithm; ensemble learning; quantitative analysis modeling; NIR; SCiO; pocket-sized spectrometer; cheese; fat; moisture; multivariate data analysis; Fourier-transform near-infrared spectroscopy; glucose; fructose; dry matter; partial least square regression; Ewing sarcoma; Fourier transform infrared spectroscopy; FTIR; chemotherapy; bone cancer; calibration transfer; NIR spectroscopy; PLS; quantitative analysis model; melamine; FT-IR; NIR spectroscopy; quantum chemical calculation; anharmonic calculation; overtones; combination bands; near infrared spectroscopy; Trichosanthis Fructus; geographical origin; chemometric techniques; crude drugs; prepared slices; support vector machine-discriminant analysis; near-infrared fluorescence; fluorescent probes; Zn(II); di-(2-picolyl)amine; living cells; cellular imaging; near-infrared (NIR) spectroscopy; calibration transfer; affine invariance; multivariate calibration; partial least squares (PLS); NIR; direct model transferability; MicroNIR™; SVM; hier-SVM; SIMCA; PLS-DA; TreeBagger; PLS; calibration transfer; agriculture; photonics; imaging; spectral imaging; spectroscopy; handheld near-infrared spectroscopy; pasta/sauce blends; partial least squares calibration; nutritional parameters; bootstrapping soft shrinkage; partial least squares; extra virgin olive oil; adulteration; FT-NIR spectroscopy; near-infrared spectroscopy; ethanol; anharmonic quantum mechanical calculations; isotopic substitution; overtones; combinations bands; seeds vitality; rice seeds; near-infrared spectroscopy; hyperspectral image; discriminant analysis; near-infrared spectroscopy; counter propagation artificial neural network; detection; auxiliary diagnosis; BRAF V600E mutation; colorectal cancer; tissue; paraffin-embedded; deparaffinized; stained; ultra-high performance liquid chromatography; Folin–Ciocalteu; total hydroxycinnamic derivatives; phytoextraction; near-infrared spectroscopy; origin traceability; data fusion; Paris polyphylla var. yunnanensis; Fourier transform mid-infrared spectroscopy; near-infrared spectroscopy; aquaphotomics; water; light; near infrared spectroscopy; water-mirror approach; perturbation; biomeasurements; biodiagnosis; biomonitoring; Vitis vinifera L.; proximal sensing; precision viticulture; near infrared; chemometrics; non-destructive sensor; NIRS; osteopathy; late preterm; brain; splanchnic; Raman spectroscopy; hyperspectral imaging; analytical spectroscopy; counterfeit and substandard pharmaceuticals; DFT calculations; chemometrics; PLSR; API; lumefantrine; artemether; antimalarial tablets; FT-NIR spectroscopy; PLS-R; water; glucose; test set validation; RMSEP; hyperspectral image processing; perfusion measurements; clinical classifications; n/a