Near-infrared spectroscopy as a tool for in vivo analysis of human muscles

Abstract

Recent advances in materials and fabrication techniques provided portable, performant, sensing optical spectrometers readily operated by user-friendly cabled or wireless systems. Such systems allow rapid, non-invasive, and not destructive quantitative analysis of human tissues. This proof-of-principle investigation tested whether infrared spectroscopy techniques, currently utilized in a variety of areas, could be applied in living humans to categorize muscles. Using an ASD FieldSpec® 4 Standard-Res Spectroradiometer with a spectral sampling capability of 1.4 nm at 350–1000 nm and 1.1 nm at 1001–2500 nm, we acquired reflectance spectra in visible short-wave infra-red regions (350–2500 nm) from the upper limb muscles (flexors and extensors) of 20 healthy subjects (age 25–89 years, 9 women). Spectra off-line analysis included preliminary preprocessing, Principal Component Analysis, and Partial Least-Squares Discriminant Analysis. Near-infrared (NIR) spectroscopy proved valuable for noninvasive assessment of tissue optical properties in vivo . In addition to the non-invasive detection of tissue oxygenation, NIR spectroscopy provided the spectral signatures (ie, “fingerprints”) of upper limb flexors and extensors, which represent specific, accurate, and reproducible measures of the overall biological status of these muscles. Thus, non-invasive NIR spectroscopy enables more thorough evaluation of the muscular system and optimal monitoring of the effectiveness of therapeutic or rehabilitative interventions.

Monitoring the Bacterial Response to Antibiotic and Time Growth Using Near-infrared Spectroscopy Combined with Machine Learning

“…It is well known that the ability of an NIR model to discriminate or identify samples is based on the vibrational responses of specific chemical bonds to NIR radiation. It is highly probable that the higher the variability in these chemical entities, which respond to this range of the electromagnetic spectrum, the better the accuracy of the model developed (Currà et al 2019 ). However, the application of NIR to monitor E .…”

Effective Recycling Solutions for the Production of High-Quality PET Flakes Based on Hyperspectral Imaging and Variable Selection

“…In order to emphasize the spectral differences between PET and contaminants, three sets of preprocessing techniques were used, that is: appropriate number of latent variables (LVs) (Figure S1). The optimal number of LVs was also determined by the smaller difference between RMSEC and RMSECV [56][57][58].…”

A dataset of visible – Short wave InfraRed reflectance spectra collected on pre-cooked pasta products

“…Visible and NIR spectroscopy techniques are actually utilized to perform both qualitative and quantitative analysis in different fields: i.e. in primary/secondary raw materials sector [4] , [5] , in cultural heritage [6] , [7] , in the agricultural and food industry [8] , [9] , [10] , [11] , [12] , [13] , in the pharmaceutical and chemical industry [14] , [15] , in clinical application [16] , [17] , [18] and more generally in analytical science [19] to perform systematic environmental remote and proximal sensing. In this data descriptor, reflectance Visible (Vis) and Short Wave Infrared (SWIR) spectra of pre-cooked pasta products are reported.…”