Multi-wavelength Near-infrared Spectroscopy Research Articles

Development of a sex-specific visceral fat area estimation using discrete multi-wavelength near-infrared spectroscopy measurements in Korean individuals

Development of a sex-specific visceral fat area estimation using discrete multi-wavelength near-infrared spectroscopy measurements in Korean individuals

Comparison between Discrete Multi-Wavelength Near-Infrared Spectroscopy and Bioelectrical Impedance Analysis in the Assessment of Muscle Mass for Community-Dwelling Older People.

(1) Background: This study evaluated the clinical implications of a new measurement technique for muscle mass using discrete multi-wavelength near-infrared spectroscopy (DMW-NIRS) compared with multifrequency bioelectrical impedance analysis (BIA) in older adults. (2) Methods: In a cross-sectional study involving 91 participants aged 65 years, the agreement of total lean mass for each measurement was assessed using the intraclass correlation coefficient (ICC) and Pearson's correlation analysis. The study was conducted at a university hospital from 10 July 2023 to 1 November 2023. (3) Results: A total of 45 men (mean age, 74.1) and 46 women (mean age, 73.6) were analyzed. In the comparisons of total lean mass between DMW-NIRS and BIA, ICC (2.1) was 0.943 and Cronbach's α coefficient was 0.949 (p < 0.001). Across all segments of lean mass, we found excellent agreement with the ICCs (>0.90) and acceptable values of the correlation coefficients (>0.6) between DMW-NIRS and BIA. (4) Conclusions: This study confirmed agreement in the measurements of muscle mass between portable devices using DMW-NIRS and BIA among community-dwelling older adults. A simple screening of muscle mass in a home setting would help to detect early decreases in muscle mass.

Optical Assessment of Spinal Cord Tissue Oxygenation Using a Miniaturized Near Infrared Spectroscopy Sensor.

Despite advances in the treatment of acute spinal cord injury (SCI), measures to mitigate permanent neurological deficits in affected patients are limited. Immediate post-trauma hemodynamic management of patients, to maintain blood supply and improve oxygenation to the injured spinal cord, is currently one aspect of critical care which clinicians can utilize to improve neurological outcomes. However, without a way to monitor the response of spinal cord hemodynamics and oxygenation in real time, optimizing hemodynamic management is challenging and limited in scope. This study aims to investigate the feasibility and validity of using a miniaturized multi-wavelength near-infrared spectroscopy (NIRS) sensor for direct transdural monitoring of spinal cord oxygenation in an animal model of acute SCI. Nine Yorkshire pigs underwent a weight-drop T10 contusion-compression injury and received episodes of ventilatory hypoxia and alterations in mean arterial pressure (MAP). Spinal cord hemodynamics and oxygenation were monitored throughout by a non-invasive transdural NIRS sensor, as well as an invasive intraparenchymal sensor as a comparison. NIRS parameters of tissue oxygenation were highly correlated with intraparenchymal measures of tissue oxygenation. In particular, during periods of hypoxia and MAP alterations, changes of NIRS-derived spinal cord oxygenated hemoglobin and tissue oxygenation percentage corresponded well with the changes in spinal cord oxygen partial pressures measured by the intraparenchymal sensor. Our data confirm that during hypoxic episodes and as changes occur in the MAP, non-invasive NIRS can detect and measure real-time changes in spinal cord oxygenation with a high degree of sensitivity and specificity.

A Fibreless Multiwavelength NIRS System for Imaging Localised Changes in Cerebral Oxidised Cytochrome C Oxidase.

Measurement of the oxidation state of cytochrome c oxidase (oxCCO) can inform directly on neuronal metabolism. Conventionally this has been measured in vivo using benchtop broadband near infrared spectroscopy (NIRS) systems. Spatially resolved measures of oxCCO have recently been made possible using a multichannel fibre-based broadband NIRS system. We describe the use of a fibreless multiwavelength NIRS system using light emitting diodes (LED) designed specifically to image localised changes in oxCCO and hence neuronal metabolism. A fibreless system consisting of four modules, each containing two LED sources and four photodiode detectors, was developed. Each LED source contained eight LED dies (780, 811, 818, 842, 850, 882, 891 and 901nm) assembled in an area of 1.5 × 1.5 mm. A well-established hyperoxia protocol was used to evaluate the oxCCO spatially resolved measurement capabilities of the system and, subsequently, its imaging capabilities were tested using a functional activation paradigm. A multi-spectral image reconstruction approach was used to provide images of Δ[HbO2], Δ[HHb] and Δ[oxCCO] from the multi-distance, multi-channel optical datasets. This novel fibreless multiwavelength NIRS system allows imaging of localised changes in oxCCO in the human brain, and has potential for development as an inexpensive, wearable, continuous monitor of cerebral energetics in a range of experimental and clinical scenarios.

An Impedance and Multi-Wavelength Near-Infrared Spectroscopy IC for Non-Invasive Blood Glucose Estimation

A multi-modal spectroscopy IC combining impedance spectroscopy (IMPS) and multi-wavelength near-infrared spectroscopy (mNIRS) is proposed for high precision non-invasive glucose level estimation. A combination of IMPS and mNIRS can compensate for the glucose estimation error to improve its accuracy. The IMPS circuit measures dielectric characteristics of the tissue using the RLC resonant frequency and the resonant impedance to estimate the glucose level. To accurately find resonant frequency, a 2-step frequency sweep sinusoidal oscillator (FSSO) is proposed: 1) 8-level coarse frequency switching (f <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">STEP</sub> = 9.4 kHz) in 10-76 kHz, and 2) fine analog frequency sweep in the range of 18.9 kHz. During the frequency sweep, the adaptive gain control loop stabilizes the output voltage swing (400 mV <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">p-p</sub> ). To improve accuracy of mNIRS, three wavelengths, 850 nm, 950 nm, and 1,300 nm, are used. For highly accurate glucose estimation, the measurement data of the IMPS and mNIRS are combined by an artificial neural network (ANN) in external DSP. The proposed ANN method reduces the mean absolute relative difference to 8.3% from 15% of IMPS, and 15-20% of mNIRS in 80-180 mg/dL blood glucose level. The proposed multi-modal spectroscopy IC occupies 12.5 mm 2 in a 0.18 μm 1P6M CMOS technology and dissipates a peak power of 38 mW with the maximum radiant emitting power of 12.1 mW.

Cerebral blood flow assessment with indocyanine green bolus transit detection by near-infrared spectroscopy in the rat

In this study we evaluated the feasibility of measuring cerebral blood flow in rats by monitoring the transit of an indocyanine green bolus through the brain with multiwavelength near-infrared spectroscopy. Different volumes of a 1 mg/ml indocyanine green solution (5, 15, 25, 50 μl) were injected intravenously in the search for an optimal dose. Clear transit curves were obtained with all doses and a blood flow index could easily be determined. The indocyanine green signal obtained with the bolus of 5 μl rapidly returned to baseline and interfered minimally with the haemoglobin and cytochrome oxidase signals. This dose was used in a second study to evaluate the reproducibility of the signal and the effect of hypercapnia. Two groups of rats received 7 repetitive boli of indocyanine green. In one group, 7% CO 2 was added to the gas mixture before the second, fourth and sixth indocyanine green injection. Hypercapnia consistently caused a significant increase in blood flow index, cerebral haemoglobin concentration and O 2-saturation. In the control group these variables remained stable in time. We conclude that monitoring of the transit of an indocyanine green bolus with multiwavelength near-infrared spectroscopy can be used to assess cerebral blood flow qualitatively in rats in combination with continuous monitoring of brain oxygenation.

Direct standardisation in multi wavelength fluorescence spectroscopy

The application of direct standardisation methods by chemometrics has been successful in combination with multi wavelength near-infrared spectroscopy (NIR) for prediction of chemical composition. In this paper the methods of direct standardisation are applied to the analogue case of fluorescence spectroscopy introducing problems due to slit widths, stability of lamp, scanning speed, and pH; measuring at a sensitivity and signal-to-noise ratio of several orders of magnitude better than in NIR spectroscopy. Three different methods of spectrum standardisation have been tested: full spectrum standardisation (FSS), single wavelength standardisation (SWS) and piecewise direct standardisation (PDS). The fluorescence emission spectra stem from transmission measurements of 35 sugar solutions, containing small concentrations of a large number of fluorescent substances such as phenols and amino acids, at four different instrumental configurations. The performances of the algorithms are evaluated by the partial least squares (PLS) prediction errors obtained for two sugar quality parameters, namely colour and amino-nitrogen. It is shown that full spectrum standardisation performs well in the case of amino-nitrogen, while it is necessary to use the SWS or PDS methods to get acceptable colour predictions. The root mean square errors of prediction (RMSEP) obtained in the standardisation of four different instrumental configurations are 0.7–5.6% and 1.1–13.8% higher than the RMSEP values obtained by full recalibration for amino-nitrogen and colour, respectively. As transfer standards sugar samples that are extremely stable are preferred to single chemical standards for standardisation of complex spectra from biological samples. It was not possible to transfer emission spectra of sugar samples measured at pH 7.0 (phosphate buffer) to compare with emission spectra measured in pure water, indicating fundamental chemical changes due to difference in pH.