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Near-infrared spectroscopy

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Near-IR absorption spectrum of dichloromethane showing complicated overlapping overtones of mid IR absorption features.

Near-infrared spectroscopy (NIRS) is a spectroscopic method that uses the near-infrared region of the electromagnetic spectrum (from about 700 nm to 2500 nm). Typical applications include medical and physiological diagnostics and research including blood sugar, pulse oximetry, functional neuroimaging, sports medicine, elite sports training, ergonomics, rehabilitation, neonatal research, brain computer interface, urology (bladder contraction), and neurology (neurovascular coupling). There are also applications in other areas as well such as pharmaceutical, food and agrochemical quality control, atmospheric chemistry, and combustion research.

Theory

Near-infrared spectroscopy is based on molecular overtone and combination vibrations. Such transitions are forbidden by the selection rules of quantum mechanics. As a result, the molar absorptivity in the near-IR region is typically quite small.[citation needed] One advantage is that NIR can typically penetrate much farther into a sample than mid infrared radiation. Near-infrared spectroscopy is, therefore, not a particularly sensitive technique, but it can be very useful in probing bulk material with little or no sample preparation.

The molecular overtone and combination bands seen in the near-IR are typically very broad, leading to complex spectra; it can be difficult to assign specific features to specific chemical components. Multivariate (multiple variables) calibration techniques (e.g., principal components analysis, partial least squares, or artificial neural networks) are often employed to extract the desired chemical information. Careful development of a set of calibration samples and application of multivariate calibration techniques is essential for near-infrared analytical methods.[1]

History

Near-infrared spectrum of liquid ethanol.

The discovery of near-infrared energy is ascribed to William Herschel in the 19th century, but the first industrial application began in the 1950s. In the first applications, NIRS was used only as an add-on unit to other optical devices that used other wavelengths such as ultraviolet (UV), visible (Vis), or mid-infrared (MIR) spectrometers. In the 1980s, a single-unit, stand-alone NIRS system was made available, but the application of NIRS was focused more on chemical analysis. With the introduction of light-fiber optics in the mid-1980s and the monochromator-detector developments in early-1990s, NIRS became a more powerful tool for scientific research.

This optical method can be used in a number of fields of science including physics, physiology, or medicine. It is only in the last few decades that NIRS began to be used as a medical tool for monitoring patients.

Instrumentation

Instrumentation for near-IR (NIR) spectroscopy is similar to instruments for the UV-visible and mid-IR ranges. There is a source, a detector, and a dispersive element (such as a prism, or, more commonly, a diffraction grating) to allow the intensity at different wavelengths to be recorded. Fourier transform NIR instruments using an interferometer are also common, especially for wavelengths above ~1000 nm. Depending on the sample, the spectrum can be measured in either reflection or transmission.

Common incandescent or quartz halogen light bulbs are most often used as broadband sources of near-infrared radiation for analytical applications. Light-emitting diodes (LEDs) are also used; they offer greater lifetime and spectral stability and reduced power requirements.[2]

The type of detector used depends primarily on the range of wavelengths to be measured. Silicon-based CCDs are suitable for the shorter end of the NIR range, but are not sufficiently sensitive over most of the range (over 1000 nm). InGaAs and PbS devices are more suitable though less sensitive than CCDs. In certain diode array (DA) NIRS instruments, both silicon-based and InGaAs detectors are employed in the same instrument. Such instruments can record both UV-visible and NIR spectra 'simultaneously'.

Instruments intended for chemical imaging in the NIR may use a 2D array detector with an acousto-optic tunable filter. Multiple images may be recorded sequentially at different narrow wavelength bands.[3]

Many commercial instruments for UV/vis spectroscopy are capable of recording spectra in the NIR range (to perhaps ~900 nm). In the same way, the range of some mid-IR instruments may extend into the NIR. In these instruments, the detector used for the NIR wavelengths is often the same detector used for the instrument's "main" range of interest.

Applications

Typical applications of NIR spectroscopy include the analysis of foodstuffs, pharmaceuticals, combustion products, and a major branch of astronomical spectroscopy.

Astronomical spectroscopy

Near-infrared spectroscopy is used in astronomy for studying the atmospheres of cool stars where molecules can form. The vibrational and rotational signatures of molecules such as titanium oxide, cyanide, and carbon monoxide can be seen in this wavelength range and can give a clue towards the star's spectral type. It is also used for studying molecules in other astronomical contexts, such as in molecular clouds where new stars are formed. The astronomical phenomenon known as reddening means that near-infrared wavelengths are less affected by dust in the interstellar medium, such that regions inaccessible by optical spectroscopy can be studied in the near-infrared. Since dust and gas are strongly associated, these dusty regions are exactly those where infrared spectroscopy is most useful. The near-infrared spectra of very young stars provide important information about their ages and masses, which is important for understanding star formation in general.

Agriculture

Near-infrared spectroscopy is widely applied in agriculture for determining the quality of forages, grains, and grain products, oilseeds, coffee, tea, spices, fruits, vegetables, sugarcane, beverages, fats, and oils,[4] dairy products, eggs, meat, and other agricultural products. It is widely used to quantify the composition of agricultural products because it meets the criteria of being accurate, reliable, rapid, non-destructive, and inexpensive.[5]

Remote monitoring

Techniques have been developed for NIR spectroscopic imaging. Hyperspectral imaging has been applied for a wide range of uses, including the remote investigation of plants and soils. Data can be collected from instruments on airplanes or satellites to assess ground cover and soil chemistry.

Remote monitoring or remote sensing from the NIR spectroscopic region can also be used to study the atmosphere. For example, measurements of atmospheric gases are made from NIR spectra measured by the OCO-2, GOSAT, and the TCCON.

Materials Science

Techniques have been developed for NIR spectroscopy of microscopic sample areas for film thickness measurements, research into the optical characteristics of nanoparticles and optical coatings for the telecommunications industry.

Medical uses

The primary application of NIRS to the human body uses the fact that the transmission and absorption of NIR light in human body tissues contains information about hemoglobin concentration changes. When a specific area of the brain is activated, the localized blood volume in that area changes quickly. Optical imaging can measure the location and activity of specific regions of the brain by continuously monitoring blood hemoglobin levels through the determination of optical absorption coefficients.

Infrascanner 1000, a NIRS scanner used to detect intracranial bleeding.

NIRS can be used as a quick screening tool for possible intracranial bleeding cases by placing the scanner on four locations on the head. In non-injured patients the brain absorbs the NIR light evenly. When there is an internal bleeding from an injury, the blood may be concentrated in one location causing the NIR light to be absorbed more than other locations, which the scanner detects.[6]

NIRS can be used for non-invasive assessment of brain function through the intact skull in human subjects by detecting changes in blood hemoglobin concentrations associated with neural activity, e.g., in branches of cognitive psychology as a partial replacement for fMRI techniques.[7] NIRS can be used on infants, and NIRS is much more portable than fMRI machines, even wireless instrumentation is available, which enables investigations in freely moving subjects.[8][9] However, NIRS cannot fully replace fMRI because it can only be used to scan cortical tissue, where fMRI can be used to measure activation throughout the brain. Special public domain statistical toolboxes for analysis of stand alone and combined NIRS/MRI measurement have been developed[10] (NIRS-SPM).

The application in functional mapping of the human cortex is called diffuse optical tomography (DOT), near-infrared imaging (NIRI) or functional NIRS (fNIR). The term diffuse optical tomography is used for three-dimensional NIRS. The terms NIRS, NIRI, and DOT are often used interchangeably, but they have some distinctions. The most important difference between NIRS and DOT/NIRI is that DOT/NIRI is used mainly to detect changes in optical properties of tissue simultaneously from multiple measurement points and display the results in the form of a map or image over a specific area, whereas NIRS provides quantitative data in absolute terms on up to a few specific points. The latter is also used to investigate other tissues such as, e.g., muscle,[11] breast and tumors.[12] NIRS can be used to quantify blood flow, blood volume, oxygen consumption, reoxygenation rates and muscle recovery time in muscle.[11]

By employing several wavelengths and time resolved (frequency or time domain) and/or spatially resolved methods blood flow, volume and absolute tissue saturation ( or Tissue Saturation Index (TSI)) can be quantified.[13] Applications of oximetry by NIRS methods include neuroscience, ergonomics, rehabilitation, brain computer interface, urology, the detection of illnesses that affect the blood circulation (e.g., peripheral vascular disease), the detection and assessment of breast tumors, and the optimization of training in sports medicine.

The use of NIRS in conjunction with a bolus injection of indocyanine green (ICG) has been used to measure cerebral blood flow[14][15] and cerebral metabolic rate of oxygen consumption (CMRO2).[16] It has also been shown that CMRO2 can be calculated with combined NIRS/MRI measurements.[17]

NIRS is starting to be used in pediatric critical care, to help deal with cardiac surgery post-op. Indeed, NIRS is able to measure venous oxygen saturation (SVO2), which is determined by the cardiac output, as well as other parameters (FiO2, hemoglobin, oxygen uptake). Therefore, following the NIRS gives critical care physicians a notion of the cardiac output. NIRS is liked by patients, because it is non-invasive, is painless, and uses non-ionizing radiation.

Optical Coherence Tomography (OCT) is another NIR medical imaging technique capable of 3D imaging with high resolution on par with low-power microscopy. Using optical coherence to measure photon pathlength allows OCT to build images of live tissue and clear examinations of tissue morphology. Due to technique differences OCT is limited to imaging 1–2 mm below tissue surfaces, but despite this limitation OCT has become an established medical imaging technique especially for imaging of the retina and anterior segments of the eye, as well as coronaries.

A type of neurofeedback, hemoencephalography or HEG, uses NIR technology to measure brain activation, primarily of the frontal lobes, for the purpose of training cerebral activation of that region.

The instrumental development of NIRS/NIRI/DOT/OCT has proceeded tremendously during the last years and, in particular, in terms of quantification, imaging and miniaturization.[13]

Particle measurement

NIR is often used in particle sizing in a range of different fields, including studying pharmaceutical and agricultural powders.

Industrial uses

As opposed to NIRS used in optical topography, general NIRS used in chemical assays does not provide imaging by mapping. For example, a clinical carbon dioxide analyzer requires reference techniques and calibration routines to be able to get accurate CO2 content change. In this case, calibration is performed by adjusting the zero control of the sample being tested after purposefully supplying 0% CO2 or another known amount of CO2 in the sample. Normal compressed gas from distributors contains about 95% O2 and 5% CO2, which can also be used to adjust %CO2 meter reading to be exactly 5% at initial calibration.[18]

See also

References

  1. ^ Roman M. Balabin; Ravilya Z. Safieva; Ekaterina I. Lomakina (2007). "Comparison of linear and nonlinear calibration models based on near infrared (NIR) spectroscopy data for gasoline properties prediction". Chemometr Intell Lab. 88 (2): 183–188. doi:10.1016/j.chemolab.2007.04.006. {{cite journal}}: Unknown parameter |last-author-amp= ignored (|name-list-style= suggested) (help)
  2. ^ Bozkurt, Alper; Rosen, Arye; Rosen, Harel; Onaral, Banu (2005). "A portable near infrared spectroscopy system for bedside monitoring of newborn brain". BioMedical Engineering OnLine. 4 (1): 29. doi:10.1186/1475-925X-4-29. PMC 1112605. PMID 15862131.{{cite journal}}: CS1 maint: unflagged free DOI (link)
  3. ^ Treado, P. J.; Levin, I. W.; Lewis, E. N. (1992). "Near-Infrared Acousto-Optic Filtered Spectroscopic Microscopy: A Solid-State Approach to Chemical Imaging". Applied Spectroscopy. 46 (4): 553–559. Bibcode:1992ApSpe..46..553T. doi:10.1366/0003702924125032.
  4. ^ Grossi, Marco; Di Lecce, Giuseppe; Arru, Marco; Gallina Toschi, Tullia; Riccò, Bruno (2015). "An opto-electronic system for in-situ determination of peroxide value and total phenol content in olive oil". Journal of Food Engineering. 146: 1–7. doi:10.1016/j.jfoodeng.2014.08.015.
  5. ^ Burns, Donald; Ciurczak, Emil (eds.). Handbook of Near-Infrared Analysis, Third Edition (Practical Spectroscopy). pp. 349–369.
  6. ^ Zeller, Jason S. (19 March 2013). "EM Innovations: New Technologies You Haven't Heard of Yet". Medscape. Retrieved 5 March 2015.
  7. ^ Mehagnoul-Schipper, DJ; van der Kallen, BF; Colier, WNJM; van der Sluijs, MC; van Erning, LJ; Thijssen, HO; Oeseburg, B; Hoefnagels, WH; Jansen, RW (2002). "Simultaneous measurements of cerebral oxygenation changes during brain activation by near-infrared spectroscopy and functional magnetic resonance imaging in healthy young and elderly subjects" (PDF). Hum Brain Mapp. 16 (1): 14–23. doi:10.1002/hbm.10026. PMID 11870923.
  8. ^ Muehlemann, T; Haensse, D; Wolf, M (2008). "Wireless miniaturized in-vivo near infrared imaging" (PDF). Optics Express. 16 (14): 10323–30. Bibcode:2008OExpr..1610323M. doi:10.1364/OE.16.010323. PMID 18607442.
  9. ^ Shadgan, B; Reid, W; Gharakhanlou, R; Stothers, L; et al. (2009). "Wireless near-infrared spectroscopy of skeletal muscle oxygenation and hemodynamics during exercise and ischemia". Spectroscopy. 23 (5–6): 233–241. doi:10.3233/SPE-2009-0391. {{cite journal}}: Unknown parameter |doi_brokendate= ignored (|doi-broken-date= suggested) (help)
  10. ^ Ye, JC; Tak, S; Jang, KE; Jung, J; et al. (2009). "NIRS-SPM: statistical parametric mapping for near-infrared spectroscopy" (PDF). NeuroImage. 44 (2): 428–47. doi:10.1016/j.neuroimage.2008.08.036. PMID 18848897{{inconsistent citations}}{{cite journal}}: CS1 maint: postscript (link)
  11. ^ a b van Beekvelt, MCP (2002). "Quantitative near-infrared spectroscopy in human skeletal muscle methodological issues and clinical application" (PDF). PhD thesis, University of Nijmegen{{inconsistent citations}}{{cite journal}}: CS1 maint: postscript (link)
  12. ^ Van der Sanden, BP; Heerschap, A; Hoofd, L; Simonetti, AW; et al. (1999). "Effect of carbogen breathing on the physiological profile of human glioma xenografts". Magn Reson Me. 42 (3): 490–9. doi:10.1002/(sici)1522-2594(199909)42:3<490::aid-mrm11>3.3.co;2-8. PMID 10467293{{inconsistent citations}} {{cite journal}}: Missing pipe in: |first8= (help)CS1 maint: postscript (link)
  13. ^ a b Wolf, M; Ferrari, M; Quaresima, V (2007). "Progress of near-infrared spectroscopy and topography for brain and muscle clinical applications" (PDF). Journal of biomedical optics. 12 (6): 062104. Bibcode:2007JBO....12f2104W. doi:10.1117/1.2804899. PMID 18163807.
  14. ^ Keller, E; Nadler, A; Alkadhi, H; Kollias, SS; et al. (2003). "Noninvasive measurement of regional cerebral blood flow and regional cerebral blood volume by near-infrared spectroscopy and indocyanine greene dye dilution". NeuroImage. 20: 828–839. doi:10.1016/S1053-8119(03)00315-X. PMID 14568455{{inconsistent citations}}{{cite journal}}: CS1 maint: postscript (link)
  15. ^ Brown, DW; Picot, PA; Naeini, JG; Springett, R; et al. (2002). "Quantitative near infrared spectroscopy measurement of cerebral hemodynamics in newborn piglets". Pediatric research. 51 (5): 564–70. doi:10.1203/00006450-200205000-00004. PMID 11978878.
  16. ^ Tichauer, KM; Hadway, JA; Lee, TY; St Lawrence, K (2006). "Measurement of cerebral oxidative metabolism with near-infrared spectroscopy: a validation study". Journal of Cerebral Blood Flow and Metabolism. 26 (5): 722–30. doi:10.1038/sj.jcbfm.9600230. PMID 16192991.
  17. ^ Tak, S; Jang, J; Lee, K; Ye, JC (2010). "Quantification of CMRO(2) without hypercapnia using simultaneous near-infrared spectroscopy and fMRI measurements". Phys Med Biol. 55 (11): 3249–69. Bibcode:2010PMB....55.3249T. doi:10.1088/0031-9155/55/11/017. PMID 20479515{{inconsistent citations}}{{cite journal}}: CS1 maint: postscript (link)
  18. ^ http://docs.airliquide.com.au/MSDSNZ/5_CO2_in_OXYGEN_Com.pdf

Further reading

  • Kouli, M.: "Experimental investigations of non invasive measuring of cerebral blood flow in adult human using the near infrared spectroscopy." Dissertation, Technical University of Munich, December 2001.
  • Raghavachari, R., Editor. 2001. Near-Infrared Applications in Biotechnology, Marcel-Dekker, New York, NY.
  • Workman, J.; Weyer, L. 2007. Practical Guide to Interpretive Near-Infrared Spectroscopy, CRC Press-Taylor & Francis Group, Boca Raton, FL.
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