Portable spectroscopy

RA Crocombe - Applied spectroscopy, 2018 - journals.sagepub.com
Until very recently, handheld spectrometers were the domain of major analytical and security
instrument companies, with turnkey analyzers using spectroscopic techniques from X-ray …

Breakthrough potential in near-infrared spectroscopy: Spectra simulation. A review of recent developments

KB Beć, CW Huck - Frontiers in chemistry, 2019 - frontiersin.org
Near-infrared (12,500–4,000 cm− 1; 800–2,500 nm) spectroscopy is the hallmark for one of
the most rapidly advancing analytical techniques over the last few decades. Although it is …

Prospects and limitations of non-invasive blood glucose monitoring using near-infrared spectroscopy

J Yadav, A Rani, V Singh, BM Murari - Biomedical signal processing and …, 2015 - Elsevier
Diabetes is a chronic metabolic disorder which can lead to severe complications and affect
all vital organs. The occurrence of complications due to diabetes can be prevented by …

A review of near infrared spectroscopy and chemometrics in pharmaceutical technologies

Y Roggo, P Chalus, L Maurer, C Lema-Martinez… - … of pharmaceutical and …, 2007 - Elsevier
Near-infrared spectroscopy (NIRS) is a fast and non-destructive analytical method.
Associated with chemometrics, it becomes a powerful tool for the pharmaceutical industry …

Near-infrared spectroscopy for medical applications: Current status and future perspectives

A Sakudo - Clinica Chimica Acta, 2016 - Elsevier
The near-infrared radiation (NIR) window, also known as the “optical window” or
“therapeutic window”, is the range of wavelengths that has the maximum depth of …

Near infrared and Raman spectroscopy for the in-process monitoring of pharmaceutical production processes

T De Beer, A Burggraeve, M Fonteyne… - International journal of …, 2011 - Elsevier
Within the Process Analytical Technology (PAT) framework, it is of utmost importance to
obtain critical process and formulation information during pharmaceutical processing …

Support vector machine regression (SVR/LS-SVM)—an alternative to neural networks (ANN) for analytical chemistry? Comparison of nonlinear methods on near …

RM Balabin, EI Lomakina - Analyst, 2011 - pubs.rsc.org
In this study, we make a general comparison of the accuracy and robustness of five
multivariate calibration models: partial least squares (PLS) regression or projection to latent …

Employing theories far beyond their limits—the case of the (Boguer‐) beer–lambert law

TG Mayerhöfer, H Mutschke, J Popp - ChemPhysChem, 2016 - Wiley Online Library
Abstract For spectroscopists, the (Bouguer‐) Beer–Lambert law is unquestionably an
essential principle, since it is inseparably linked with one of the most important quantities in …

Infrared spectroscopy

B Stuart - Kirk‐Othmer encyclopedia of chemical technology, 2000 - Wiley Online Library
Infrared ir spectroscopy is one of the most important analytical techniques available to
scientists. One of the great advantages of ir spectroscopy is that virtually any sample may be …

Advances in molecular structure and interaction studies using near-infrared spectroscopy

MA Czarnecki, Y Morisawa, Y Futami, Y Ozaki - Chemical reviews, 2015 - ACS Publications
Near-infrared (NIR) spectroscopy involves the spectral region of 12 500− 4000 cm− 1 (800−
2500 nm). This is the region where bands due to electronic transitions as well as those due …