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Journal articles on the topic 'Near infrared spectroscopy'

To see the other types of publications on this topic, follow the link: Near infrared spectroscopy.

Author: Grafiati

Published: 4 June 2021

Last updated: 30 July 2024

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1

Arboleda, Edwin R., Kimberly M. Parazo, and Christle M. Pareja. "Watermelon ripeness detector using near infrared spectroscopy." Jurnal Teknologi dan Sistem Komputer 8, no. 4 (October 20, 2020): 317–22. http://dx.doi.org/10.14710/jtsiskom.2020.13744.

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This study aimed to design and develop a watermelon ripeness detector using Near-Infrared Spectroscopy (NIRS). The research problem being solved in this study is developing a prototype wherein the watermelon ripeness can be detected without the need to open it. This detector will save customers from buying unripe watermelon and the farmers from harvesting an unripe watermelon. The researchers attempted to use the NIRS technique in determining the ripeness level of watermelon as it is widely used in the agricultural sector with high-speed analysis. The project was composed of Raspberry Pi Zero W as the microprocessor unit connected to input and output devices, such as the NIR spectral sensor and the OLED display. It was programmed by Python 3 IDLE. The detector scanned a total of 200 watermelon samples. These samples were grouped as 60 % for the training dataset, 20 % for testing, and another 20 % for evaluation. The data sets were collected and are subjected to the Support Vector Machine (SVM) algorithm. Overall, experimental results showed that the detector could correctly classify both unripe and ripe watermelons with 92.5 % accuracy.

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2

Owen-Reece, H., C. E. Elwell, P. Fallon, J. Goldstone, and M. Smith. "Near infrared oximetry and near infrared spectroscopy." Anaesthesia 49, no. 12 (December 1994): 1102–3. http://dx.doi.org/10.1111/j.1365-2044.1994.tb04380.x.

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3

Wyatt, John S. "Near Infrared Spectroscopy." Neonatology 62, no. 4 (1992): 290–94. http://dx.doi.org/10.1159/000243884.

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4

Jain, Virendra, and Hari Dash. "Near-infrared spectroscopy." Journal of Neuroanaesthesiology and Critical Care 02, no. 03 (December 2015): 221–24. http://dx.doi.org/10.4103/2348-0548.165045.

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AbstractTissue ischaemia can be a significant contributor to increased morbidity and mortality. Conventional oxygenation monitoring modalities measure systemic oxygenation, but regional tissue oxygenation is not monitored. Near-infrared spectroscopy (NIRS) is a non-invasive monitor for measuring regional oxygen saturation which provides real-time information. There has been increased interest in the clinical application of NIRS following numerous studies that show improved outcome in various clinical situations especially cardiac surgery. Its use has shown improved neurological outcome and decreased postoperative stay in cardiac surgery. Its usefulness has been investigated in various high risk surgeries such as carotid endarterectomy, thoracic surgeries, paediatric population and has shown promising results. There is however, limited data supporting its role in neurosurgical population. We strongly feel, it might play a key role in future. It has significant advantages over other neuromonitoring modalities, but more technological advances are needed before it can be used more widely into clinical practice.

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5

Prough, D. S. "Near-infrared spectroscopy." European Journal of Anaesthesiology 15, Supplement 17 (January 1998): 64–65. http://dx.doi.org/10.1097/00003643-199801001-00043.

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6

Argüelles-Delgado, Placido M., and Martin Dworschak. "Near-infrared spectroscopy." European Journal of Anaesthesiology 36, no. 6 (June 2019): 469. http://dx.doi.org/10.1097/eja.0000000000001006.

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7

Rhee, Peter, Lorrie Langdale, Charles Mock, and Larry M. Gentilello. "Near-infrared spectroscopy." Critical Care Medicine 25, no. 1 (January 1997): 166–70. http://dx.doi.org/10.1097/00003246-199701000-00030.

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8

Haynes, S. R. "Near infrared spectroscopy." Anaesthesia 49, no. 1 (January 1994): 75. http://dx.doi.org/10.1111/j.1365-2044.1994.tb03323.x.

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9

Harris, D. N. F. "Near infrared spectroscopy." Anaesthesia 49, no. 1 (January 1994): 75–76. http://dx.doi.org/10.1111/j.1365-2044.1994.tb03324.x.

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10

Williams, I. M., A. Picton, A. Mortimer, and C. N. McCollum. "Near infrared spectroscopy." Anaesthesia 49, no. 1 (January 1994): 76. http://dx.doi.org/10.1111/j.1365-2044.1994.tb03325.x.

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11

DUNCAN, L. A., J. A. W. WlLDSMITH, and C. V. RUCKLEY. "Near infrared spectroscopy." Anaesthesia 51, no. 11 (November 1996): 710. http://dx.doi.org/10.1111/j.1365-2044.1996.tb04670.x.

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12

HARRIS, D. N. F. "Near infrared spectroscopy." Anaesthesia 51, no. 11 (November 1996): 710–11. http://dx.doi.org/10.1111/j.1365-2044.1996.tb04671.x.

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13

Duncan, L. A., J. A. W. Wildsmith, and C. V. Ruckley. "Near infrared spectroscopy." Anaesthesia 51, no. 7 (July 1996): 710. http://dx.doi.org/10.1111/j.1365-2044.1996.tb07870.x.

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14

Green, Michael Stuart, Sankalp Sehgal, and Rayhan Tariq. "Near-Infrared Spectroscopy." Seminars in Cardiothoracic and Vascular Anesthesia 20, no. 3 (May 19, 2016): 213–24. http://dx.doi.org/10.1177/1089253216644346.

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15

Brazy, Jane E. "Near-Infrared Spectroscopy." Clinics in Perinatology 18, no. 3 (September 1991): 519–34. http://dx.doi.org/10.1016/s0095-5108(18)30510-4.

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16

Soul, Janet S., and Adré J. du Plessis. "Near-infrared spectroscopy." Seminars in Pediatric Neurology 6, no. 2 (June 1999): 101–10. http://dx.doi.org/10.1016/s1071-9091(99)80036-9.

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17

Ramsay, S. J., and C. D. Gomersall. "Near-infrared spectroscopy." Anaesthesia 57, no. 6 (May 14, 2002): 606–25. http://dx.doi.org/10.1046/j.1365-2044.2002.265813.x.

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18

Simonson, Steven G., and Claude A. Piantadosi. "NEAR-INFRARED SPECTROSCOPY." Critical Care Clinics 12, no. 4 (October 1996): 1019–29. http://dx.doi.org/10.1016/s0749-0704(05)70290-6.

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19

Stark, Edward. "Near infrared spectroscopy." Vibrational Spectroscopy 9, no. 3 (September 1995): 306. http://dx.doi.org/10.1016/0924-2031(95)90057-8.

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20

Edwards, A. D. "Near infrared spectroscopy." European Journal of Pediatrics 154, no. 3 (January 1995): S19—S21. http://dx.doi.org/10.1007/bf02155107.

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21

Jang, Ik-Kyung. "Near Infrared Spectroscopy." Circulation: Cardiovascular Interventions 5, no. 1 (February 2012): 10–11. http://dx.doi.org/10.1161/circinterventions.111.967935.

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22

Soller, Babs R., Ye Yang, Olusola O. Soyemi, Stephen O. Heard, Kathy L. Ryan, Caroline A. Rickards, Victor A. Convertino, William H. Cooke, and Bruce A. Crookes. "Near infrared spectroscopy." Critical Care Medicine 37, no. 1 (January 2009): 385. http://dx.doi.org/10.1097/ccm.0b013e3181932d1b.

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23

Ince, Can, Rick Bezemer, and Alex Lima. "Near infrared spectroscopy." Critical Care Medicine 37, no. 1 (January 2009): 384–85. http://dx.doi.org/10.1097/ccm.0b013e3181932d42.

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24

Bokobza, L. "Near Infrared Spectroscopy." Journal of Near Infrared Spectroscopy 6, no. 1 (January 1998): 3–17. http://dx.doi.org/10.1255/jnirs.116.

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Some of the concepts that make a near infrared spectrum understandable are reviewed. The origin of vibrational anharmonicity which determines the occurrence and the spectral properties (frequency, intensity) is discussed. The importance of the effects of the resonances which increase with increasing excitation are mentioned. Some of the characteristics of high energy overtone/combination spectra are considered in relation to local mode effects. The location of some particular group frequencies is provided.

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25

Owen-Reece, H., M. Smith, C. E. Elwell, and J. C. Goldstone. "Near infrared spectroscopy." British Journal of Anaesthesia 82, no. 3 (March 1999): 418–26. http://dx.doi.org/10.1093/bja/82.3.418.

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26

Jankovská, R., and K. Šustová. "Analysis of cow milk by near-infrared spectroscopy." Czech Journal of Food Sciences 21, No. 4 (November 18, 2011): 123–28. http://dx.doi.org/10.17221/3488-cjfs.

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In this work, the major components (total solids, fat, protein, casein, urea nitrogen, lactose, and somatic cells) were determined in cow milk by near-infrared spectroscopy. Fifty calibration samples of milk were analysed by reference methods and by FT NIR spectroscopy in reflectance mode at wavelengths ranging from 4000 to 10 000 cm<sup>–1 </sup>with 100 scan. Each sample was analysed three times and the average spectrum was used for calibration. Partial least squares (PLS) regression was used to develop calibration models for the milk components examined. Determined were the highest correlation coefficients for total solids (0.928), fat (0.961), protein (0.985), casein (0.932), urea nitrogen (0.906), lactose (0.931), and somatic cells (0.872). The constructed calibration models were validated by full cross validation. The results of this study indicated that NIR spectroscopy is applicable for a rapid analysis of milk composition.  

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27

NK, Sahoo. "Pharmaceutical Applications and Importance of Near Infrared Spectroscopy." Medicinal and Analytical Chemistry International Journal 4, no. 1 (February 10, 2020): 1–6. http://dx.doi.org/10.23880/macij-16000155.

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Innovative instrumentation, highlighted by portable and imaging instruments, chemometrics data multivariate processing, and new and valuable applications are presented and discussed. Because of these advances, this mature analytical technique is continually experiencing renewed interest. The drawbacks and misuses of the technique and its supporting mathematical tools are also addressed. The principal achievements in the field are shown in a critical manner, in order to understand why the technique has found intensive application in the most diverse and modern areas of analytical importance during the last ten years. This paper intends to review the basic theory of Near Infrared (NIR) Spectroscopy and its applications in the field of Analytical Science. It is addressed to the reader who does not have a profound knowledge of vibrational spectroscopy but wants to be introduced to the analytical potentialities of this fascinating technique and, at same time, be conscious of its limitations. Essential theory background, an outline of modern instrument design, practical aspects, and applications in a number of different fields are presented. Near-infrared spectroscopy (NIRS) is a relatively new and increasingly widespread brain imaging technique, particularly suitable for use with young infants. The technique employs near-infrared light to assess the concentration changes of oxygenated and deoxygenated hemoglobin, accompanying local brain activity. The basic physical, physiological, and neural principles underlying the use of NIRS and some of the existing developmental studies are reviewed. Issues concerning technological improvements, parameter optimization, possible experimental designs, and data analysis techniques are also discussed and illustrated.

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28

OZAKI, Yukihiro. "Infrared Spectroscopy—Mid-infrared, Near-infrared, and Far-infrared/Terahertz Spectroscopy." Analytical Sciences 37, no. 9 (September 10, 2021): 1193–212. http://dx.doi.org/10.2116/analsci.20r008.

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29

KOBAYASHI, Takayoshi, and Satoshi TAKEUCHI. "Ultrafast Near Infrared Spectroscopy." Journal of the Spectroscopical Society of Japan 46, no. 2 (1997): 51–60. http://dx.doi.org/10.5111/bunkou.46.51.

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30

DELPY, D. T., and M. FERRARI. "Near Infrared Spectroscopy Research." Pediatrics 92, no. 6 (December 1, 1993): 883. http://dx.doi.org/10.1542/peds.92.6.883a.

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To the Editor.— In a recent issue of this journal (Pediatrics. 1993;91:414-417), Dr Deborah Hirtz reported on a Workshop on Near Infrared Spectroscopy (NIRS), organized by the National Institute of Neurological Disorders and Stroke (NINDS). NIRS is becoming increasingly accepted as a method for noninvasive monitoring of cerebral hemodynamics and oxygenation in the newborn and recently in the fetus during labor. However, as Dr Hirtz carefully pointed out there are still many technical problems to be solved, and considerable controversy about the quantitation and interpretation of MRS data especially the redox state of cytochrome oxidase.

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31

Kane, Jason M. "Near-Infrared Spectroscopy Monitors." Journal of Patient Safety 5, no. 1 (March 2009): 29–31. http://dx.doi.org/10.1097/pts.0b013e318196ca08.

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32

Bronicki, Ronald A. "Near-Infrared Spectroscopy Oximetry." Pediatric Critical Care Medicine 17, no. 1 (January 2016): 89–90. http://dx.doi.org/10.1097/pcc.0000000000000565.

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33

Steven, J. M., C. D. Kurth, L. C. Wagerle, M. Delivorla-Papadopoulos, and B. Chance. "NEAR-INFRARED REFLECTANCE SPECTROSCOPY." Anesthesiology 71, Supplement (September 1989): A390. http://dx.doi.org/10.1097/00000542-198909001-00390.

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34

Prough, Donald S., and Valerie Pollard. "Cerebral near-infrared spectroscopy." Critical Care Medicine 23, no. 10 (October 1995): 1624–26. http://dx.doi.org/10.1097/00003246-199510000-00004.

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35

Pollard, Valerie, and Donald S. Prough. "Cerebral Near-Infrared Spectroscopy." Anesthesia & Analgesia 83, no. 4 (October 1996): 673–74. http://dx.doi.org/10.1097/00000539-199610000-00002.

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36

Pollard, Valerie, and Donald S. Prough. "Cerebral Near-Infrared Spectroscopy." Anesthesia & Analgesia 83, no. 4 (October 1996): 673–74. http://dx.doi.org/10.1213/00000539-199610000-00002.

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37

Marin, Terri, and James Moore. "Understanding Near-Infrared Spectroscopy." Advances in Neonatal Care 11, no. 6 (December 2011): 382–88. http://dx.doi.org/10.1097/anc.0b013e3182337ebb.

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38

Bunce, S. C., M. Izzetoglu, K. Izzetoglu, B. Onaral, and K. Pourrezaei. "Functional near-infrared spectroscopy." IEEE Engineering in Medicine and Biology Magazine 25, no. 4 (July 2006): 54–62. http://dx.doi.org/10.1109/memb.2006.1657788.

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39

Blanco, M., and M. A. Romero. "Near infrared transflectance spectroscopy." Journal of Pharmaceutical and Biomedical Analysis 30, no. 3 (October 2002): 467–72. http://dx.doi.org/10.1016/s0731-7085(02)00093-6.

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40

Ritzenthaler, Thomas, Tae-Hee Cho, Laura Mechtouff, Elodie Ong, Francis Turjman, Philip Robinson, Yves Berthezène, and Norbert Nighoghossian. "Cerebral Near-Infrared Spectroscopy." Stroke 48, no. 12 (December 2017): 3390–92. http://dx.doi.org/10.1161/strokeaha.117.019176.

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41

Blažek, J., O. Jirsa, and M. Hrušková. "Prediction of wheat milling characteristics by near-infrared reflectance spectroscopy." Czech Journal of Food Sciences 23, No. 4 (November 15, 2011): 145–51. http://dx.doi.org/10.17221/3384-cjfs.

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The aim of this study was to explore the use of NIR spectroscopy of laboratory milled flour to predict the milling characteristics of wheat. Quantitative traits of the milling process of wheat were predicted by analyses of NIR spectra of six sets consisting of 94 samples. Reference data were obtained by grinding the samples on the laboratory mill Chopin CD1-auto (France), spectral data were measured on spectrograph NIRSystem 6500. Commercial spectral analysis software WINISI II was used to collect spectra, develop calibration equations and evaluate calibration performance. The quality of prediction was evaluated by coefficients of correlation between the measured and the predicted values from cross and independent validation. MPLS/PLS regression and ANN methods were used. A statistically significant dependence (at the probability level of 99%) was determined for all traits studied in the case of cross-validation. Satisfactory accuracy of the prediction models by independent validation was achieved only for semolina extraction rate, models for other characteristics did not show acceptable precision.  

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42

Hudec, Martin, Jan Kaňovský, Ivona Kask, Kristýna Hlaváčová, Vojtěch Brázdil, and Petr Kala. "Near infrared spectroscopy (NIRS) - method in retreat or rising star?" Intervenční a akutní kardiologie 21, no. 3 (November 21, 2022): 132–38. http://dx.doi.org/10.36290/kar.2022.016.

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43

Kuenstner, J. T., and K. H. Norris. "Near Infrared Hemoglobinometry." Journal of Near Infrared Spectroscopy 3, no. 1 (January 1995): 11–18. http://dx.doi.org/10.1255/jnirs.50.

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44

Fukuda, Masato. "Near-infrared spectroscopy in psychiatry." Equilibrium Research 69, no. 1 (2010): 1–15. http://dx.doi.org/10.3757/jser.69.1.

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45

Cohn, Stephen M., Bruce A. Crookes, and Kenneth G. Proctor. "Near-Infrared Spectroscopy in Resuscitation." Journal of Trauma: Injury, Infection & Critical Care 54, no. 5 (May 2003): S199—S202. http://dx.doi.org/10.1097/01.ta.0000047225.53051.7c.

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46

Kholiqov, Oybek, Wenjun Zhou, Tingwei Zhang, Mingjun Zhao, Soroush Ghandiparsi, and Vivek J. Srinivasan. "Scanning interferometric near-infrared spectroscopy." Optics Letters 47, no. 1 (December 21, 2021): 110. http://dx.doi.org/10.1364/ol.443533.

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47

Nerella, Nadhamuni G., and James K. Drennen. "Depth-Resolved Near-Infrared Spectroscopy." Applied Spectroscopy 50, no. 2 (February 1996): 285–91. http://dx.doi.org/10.1366/0003702963906456.

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While there is substantial evidence proving the success of transdermal drug delivery, there have been few accomplishments in the area of depth-resolved prediction of drug concentration during diffusion through a matrix. Such a method for noninvasive quantification of a diffusing species could assist in the development of new drugs, dosage forms, and penetration enhancers. Near-infrared depth-resolved measurements were accomplished by strategically controlling the amount of reflected light reaching the detectors using a combination of diaphragms with different-diameter apertures. Near-IR spectra were collected from a set of cellulose and Silastic® membranes to prove the possibility of depth-resolved near-IR measurements. Principal component regression was used to estimate the depth resolution of this method, yielding an average resolution of 31 μm. Further, to demonstrate depth-resolved near-IR spectroscopy in a practical in vitro system, we determined concentrations of salicylic acid (SA) in a hydrogel matrix during diffusion experiments carried out for up to three hours. An artificial-neural-network-based calibration model was developed which predicted SA concentrations accurately ( R2 = 0.993, SEP = 123 μg/mL).

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48

Gourgeot, F., C. Dumas, F. Merlin, P. Vernazza, and A. Alvarez-Candal. "Near-infrared spectroscopy of Miranda." Astronomy & Astrophysics 562 (February 2014): A46. http://dx.doi.org/10.1051/0004-6361/201321988.

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49

Mills, Ian M., Gerard Downey, Paul Robert, and Dominique Bertrand. "Developments in near infrared spectroscopy." Analytical Proceedings 29, no. 1 (1992): 7. http://dx.doi.org/10.1039/ap9922900007.

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50

Singh, Gyaninder. "Near-infrared spectroscopy—current status." Journal of Neuroanaesthesiology and Critical Care 03, no. 04 (December 2016): S66—S69. http://dx.doi.org/10.4103/2348-0548.174740.

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