Advances in Near Infrared Spectroscopy and Related Computational Methods

• Format: eBook
• Language: English
• Published: MDPI - Multidisciplinary Digital Publishing Institute 2020
• Subjects: Chemistry; accelerated aging; adulteration; affine invariance; agriculture; analytical spectroscopy; anharmonic calculation; anharmonic quantum mechanical calculations; animal origin; antimalarial tablets; API; aquaphotomics; artemether; auxiliary diagnosis; binary dragonfly algorithm; bioanalytical applications; biodiagnosis; biomeasurements; biomonitoring; blackberries; bone cancer; bootstrapping soft shrinkage; BRAF V600E mutation; brain; calibration transfer; carotenoids; cellular imaging; cheese; chemometric techniques; chemometrics; chemotherapy; Chrysanthemum; classification; clinical classifications; colorectal cancer; combination bands; combinations bands; corn seed; counter propagation artificial neural network; counterfeit and substandard pharmaceuticals; crude drugs; data fusion; deep convolutional neural network; deparaffinized; detection; DFT calculations; di-(2-picolyl)amine; direct model transferability; discriminant analysis; DNA; dry matter; ensemble learning; ethanol; Ewing sarcoma; extra virgin olive oil; fat; fluorescent probes; Folin-Ciocalteu; Fourier transform infrared spectroscopy; Fourier transform mid-infrared spectroscopy; Fourier-transform near-infrared spectroscopy; freeze-damaged; fructose; FT-IR; FT-NIR spectroscopy; FTIR; FTIR spectroscopy; geographical origin; glucose; handheld near-infrared spectroscopy; hier-SVM; hyperspectral image; hyperspectral image processing; hyperspectral imaging; hyperspectral imaging technology; image processing; imaging; imaging visualization; isotopic substitution; late preterm; light; living cells; lumefantrine; maize kernel; melamine; MicroNIR™; moisture; multivariate calibration; multivariate data analysis; n/a; near infrared; near infrared spectroscopy; near-infrared (NIR) spectroscopy; near-infrared fluorescence; near-infrared hyperspectral imaging; near-infrared spectroscopy; NIR; NIR spectroscopy; NIRS; non-destructive sensor; nutritional parameters; object-wise; origin traceability; osteopathy; overtones; paraffin-embedded; Paris polyphylla var. yunnanensis; partial least square regression; partial least squares; partial least squares (PLS); partial least squares calibration; pasta/sauce blends; perfusion measurements; perturbation; phenolics; photonics; phytoextraction; pixel-wise; PLS; PLS-DA; PLS-R; PLSR; pocket-sized spectrometer; precision viticulture; prepared slices; principal component analysis; proximal sensing; quantitative analysis model; quantitative analysis modeling; quantum chemical calculation; raisins; Raman spectroscopy; rapid identification; rice seeds; RMSEP; Rubus fructicosus; SCiO; seeds vitality; SIMCA; spectral imaging; spectroscopy; splanchnic; stained; standard germination tests; support vector machine; support vector machine model; support vector machine-discriminant analysis; SVM; test set validation; tissue; total hydroxycinnamic derivatives; TreeBagger; Trichosanthis Fructus; ultra-high performance liquid chromatography; variety discrimination; VIS/NIR hyperspectral imaging; Vitis vinifera L.; water; water-mirror approach; wavelength selection; Zn(II)
• Online Access: Open Access: DOAB: description of the publication; Open Access: DOAB, download the publication
• Physical Description: 1 online resource (496 p.)
• ISBN: 9783039280520; 9783039280537; books978-3-03928-053-7
• Access: Open Access

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.