Advances in Near Infrared Spectroscopy and Related Computational Methods
Objektkategorie:
Elektronische Ressource
Person/Institution:
Verlag:
MDPI - Multidisciplinary Digital Publishing Institute
Veröffentlichungsort:
Erscheinungsort nicht ermittelbar
Entstehungszeit:
2020
Umfang, Illustration, Format:
1 Online-Ressource (496 p.)
Sprache:
Englisch
Bereitstellende Institution:
Weitere Objektinformationen
Abstract:
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
Objekttext:
English
Zugriff und Nutzungsmöglichkeiten
Kontaktinformationen
Universität Erfurt
Forschungsbibliothek Gotha
Schloss Friedenstein
Schlossplatz 1
99867 Gotha
+49 361 737-5540
bibliothek.gotha(at)uni-erfurt.de
Forschungsbibliothek Gotha
Schloss Friedenstein
Schlossplatz 1
99867 Gotha
+49 361 737-5540
bibliothek.gotha(at)uni-erfurt.de
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Datensatz angelegt am:
2023-04-14
Zuletzt geändert am:
2021-11-25
In Portal übernommen am:
2023-04-14
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