Broadband Light Source and Its Application to Near-Infrared Spectroscopy

Tissue oxygenation sensing at a few millimeters deep is useful for surgical and postoperative management. However, the measurement sensitivity at each depth and the proper sensor combination have not been clarified. Here, the measurement characteristics of oximetry by spatially resolved near-infrared spectroscopy were analyzed using Monte Carlo simulation and phantom experiment. From summing the sensitivities of each depth, it was quantitatively found that the measurement sensitivity curve had a peak, and the measurement depth can be adjusted by combining the two distances between the light source and the detector. Furthermore, the gastric tissue was 10–20% smaller in terms of measurement depth than the skin-subcutaneous tissue. A miniaturized oximeter was prototyped so that it could be used in combination with an endoscope or laparoscope. The optical probes consisted of light emitting diodes with wavelengths of 770 nm and 830 nm and photodetectors located 3 to 30 mm from the light source. Phantom experiments using the probes demonstrated the tendency of theoretical analysis. These results suggest the possibility of measuring tissue oxygen saturation with a selectable measurement depth. This selectable method will be useful for obtaining oxygenation information at a depth of 2–5 mm, which is difficult to measure using only laparoscopic surface imaging.

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Double-beam near-infrared spectroscopy to correct light source drift in aqueous glucose solution experiments

Analytical Methods ◽

10.1039/c4ay02178a ◽

2014 ◽

Vol 6 (24) ◽

pp. 9831-9840 ◽

Cited By ~ 6

Author(s):

Xiaolin Min ◽

Rong Liu ◽

Yongxiang Hu ◽

Bo Fu ◽

Kexin Xu

Keyword(s):

Infrared Spectroscopy ◽

Light Source ◽

Near Infrared Spectroscopy ◽

Near Infrared ◽

Standard Sample ◽

Glucose Solution ◽

Double Beam ◽

Reference Design

Standard sample correction and reference design for exact extraction of the analyte of interest are investigated in this paper.

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An LED-based spectrally tuneable light source for visible and near-infrared spectroscopy analysis: A case study for sugar content estimation of citrus

Biosystems Engineering ◽

10.1016/j.biosystemseng.2017.08.022 ◽

2017 ◽

Vol 163 ◽

pp. 87-93 ◽

Cited By ~ 6

Author(s):

Xiaping Fu ◽

Xiaoyao Wang ◽

Xiuqin Rao

Keyword(s):

Infrared Spectroscopy ◽

Light Source ◽

Near Infrared Spectroscopy ◽

Near Infrared ◽

Sugar Content ◽

Spectroscopy Analysis

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Monte Carlo simulation-based thinning and calculating method for noninvasive blood glucose sensing by near-infrared spectroscopy

Journal of Innovative Optical Health Sciences ◽

10.1142/s1793545816500413 ◽

2017 ◽

Vol 10 (02) ◽

pp. 1650041

Author(s):

Congcong Ma ◽

Jia Qin ◽

Qi Zhang ◽

Junsheng Lu ◽

Kexin Xu ◽

...

Keyword(s):

Monte Carlo ◽

Infrared Spectroscopy ◽

Blood Glucose ◽

Light Source ◽

Near Infrared Spectroscopy ◽

Measurement System ◽

Near Infrared ◽

Glucose Sensing ◽

Positioning Error ◽

Calculating Method

Previous results show that the floating reference theory (FRT) is an effective tool to reduce the influence of interference factors on noninvasive blood glucose sensing by near-infrared spectroscopy (NIRS). It is the key to measure the floating reference point (FRP) precisely for the application of FRT. Monte Carlo (MC) simulation has been introduced to quantitatively investigate the effects of positioning errors and light source drifts on measuring FRP. In this article, thinning and calculating method (TCM) is proposed to quantify the positioning error. Meanwhile, the normalization process (NP) is developed to significantly reduce the error induced by light source drift. The results according to TCM show that 7[Formula: see text][Formula: see text]m deviations in positioning can generate about 10.63% relative error in FRP. It is more noticeable that 1% fluctuation in light source intensity may lead to 12.21% relative errors. Gratifyingly, the proposed NP model can effectively reduce the error caused by light source drift. Therefore, the measurement system for FRPs must meet that the positioning error is less than 7[Formula: see text][Formula: see text]m, and the light source drift is kept within 1%. Furthermore, an improvement for measurement system is proposed in order to take advantage of the NP model.

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Using Visible-Near Infrared Spectroscopy for Detecting Melamine in Pure Milk

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.530-531.136 ◽

2014 ◽

Vol 530-531 ◽

pp. 136-140

Author(s):

Lu Wang ◽

Bao Jin Peng ◽

Xiao Gang Jiang ◽

Qing Guo Shi

Keyword(s):

Infrared Spectroscopy ◽

Real Time ◽

Light Source ◽

Near Infrared Spectroscopy ◽

Computer Technology ◽

Near Infrared ◽

Experimental Result ◽

Infrared Light ◽

Reflection Spectra ◽

Pure Milk

It designed a simple system device which can detect the concentration of melamine in pure milk in this paper. Using the visible-near infrared light source to irradiate melamine-contained milk solution, the reflection spectra would have obvious change at the wavelength of 500 nm with the increasing concentration of melamine in pure milk, and the reflection spectra are nearly overlapped at the wavelength of 1000 nm. Based on this principle, combined with the photoelectric technology and computer technology, collecting light at 500nm is used to determine the concentration of melamine, and collecting light at 1000nm is used to eliminate the Interference of other ingredients in milk. The experimental result shows that, when the concentration of melamine is not less than 3 , the relative error produced by the device is less than 1%. And the device can quickly detect whether the milk containing melamine in real-time and accurately show the concentration of melamine, which make the device have strong practicability.

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Krypton Filled Flashlamp: A Possible New Light Source for Near Infrared Spectroscopy in vivo

Advances in Experimental Medicine and Biology - Oxygen Transport to Tissue XII ◽

10.1007/978-1-4684-8181-5_8 ◽

1990 ◽

pp. 59-62 ◽

Cited By ~ 1

Author(s):

M. Essenpreis ◽

J. Spahn ◽

W. Waidelich ◽

H. T. Versmold

Keyword(s):

Infrared Spectroscopy ◽

Light Source ◽

Near Infrared Spectroscopy ◽

Near Infrared

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Nondestructive classification of mung bean seeds by single kernel near-infrared spectroscopy

Journal of Innovative Optical Health Sciences ◽

10.1142/s179354581650053x ◽

2017 ◽

Vol 10 (03) ◽

pp. 1650053 ◽

Cited By ~ 6

Author(s):

Kaewkarn Phuangsombut ◽

Nattaporn Suttiwijitpukdee ◽

Anupun Terdwongworakul

Keyword(s):

Infrared Spectroscopy ◽

Absorption Spectra ◽

Light Source ◽

Near Infrared Spectroscopy ◽

Mung Bean ◽

Near Infrared ◽

Classification Performance ◽

Spectral Information ◽

Entire Wavelength Range

Near-infrared spectroscopy (NIRS) in the range 900–1700 nm was performed to develop a classifying model for dead seeds of mung bean using single kernel measurements. The use of the combination of transmission-absorption spectra and reflection-absorption spectra was determined to yield a better classification performance (87.88%) than the use of only transmission-absorption spectra (81.31%). The effect of the orientation of the mung bean with respect to the light source on its absorbance was investigated. The results showed that hilum-down orientation exhibited the highest absorbance compared to the hilum-up and hilum-parallel-to-ground orientations. We subsequently examined the spectral information related to the seed orientation by developing a classifying model for seed orientation. The wavelengths associated with classification based on seed orientation were obtained. Finally, we determined that the re-developed classifying model excluding the wavelengths related to the seed orientation afforded better accuracy (89.39%) than that using the entire wavelength range (87.88%).

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