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Journal articles on the topic 'Spectroscopy in the near infrared'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

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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 (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

Jankovská, R., and K. Šustová. "Analysis of cow milk by near-infrared spectroscopy." Czech Journal of Food Sciences 21, No. 4 (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&nbsp;000&nbsp;cm<sup>&ndash;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. &nbsp;

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3

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

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4

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

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5

Jain, Virendra, and Hari Dash. "Near-infrared spectroscopy." Journal of Neuroanaesthesiology and Critical Care 02, no. 03 (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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6

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

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7

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

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8

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

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9

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

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10

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

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11

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

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12

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

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13

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

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14

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

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15

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

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16

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

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17

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

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18

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

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19

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

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20

Bokobza, L. "Near Infrared Spectroscopy." Journal of Near Infrared Spectroscopy 6, no. 1 (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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21

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

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22

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

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23

Soller, Babs R., Ye Yang, Olusola O. Soyemi, et al. "Near infrared spectroscopy." Critical Care Medicine 37, no. 1 (2009): 385. http://dx.doi.org/10.1097/ccm.0b013e3181932d1b.

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24

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

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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 (1999): 418–26. http://dx.doi.org/10.1093/bja/82.3.418.

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26

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

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27

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 (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. &nbsp;

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28

OZAKI, Yukihiro. "Infrared Spectroscopy—Mid-infrared, Near-infrared, and Far-infrared/Terahertz Spectroscopy." Analytical Sciences 37, no. 9 (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

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

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31

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

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32

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 (2006): 54–62. http://dx.doi.org/10.1109/memb.2006.1657788.

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33

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

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34

Ritzenthaler, Thomas, Tae-Hee Cho, Laura Mechtouff, et al. "Cerebral Near-Infrared Spectroscopy." Stroke 48, no. 12 (2017): 3390–92. http://dx.doi.org/10.1161/strokeaha.117.019176.

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35

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

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36

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

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37

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

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38

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

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39

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

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40

TOPAL, Ahmet, Şeyda TÜRK, Osman Mücahit TOSUN, et al. "Preventing of Perioperative Cerebral Complications Related Takayasu's Arteritis with Near Infrared Spectroscopy." Turkiye Klinikleri Journal of Medical Sciences 37, no. 4 (2017): 206–9. http://dx.doi.org/10.5336/medsci.2017-55910.

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41

Rosita, Rini, I. Budiastra, and Sutrisno Sutrisno. "Prediction of Caffein Content of Arabica Coffee Bean by Near Infrared Spectroscopy." Jurnal Keteknikan Pertanian 04, no. 2 (2016): 1–8. http://dx.doi.org/10.19028/jtep.04.2.179-186.

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42

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

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43

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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44

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

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45

Siesler, H. W. "Near-infrared spectroscopy of polymers." Makromolekulare Chemie. Macromolecular Symposia 52, no. 1 (1991): 113–29. http://dx.doi.org/10.1002/masy.19910520111.

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46

Mark, Howard. "Chemometrics in near-infrared spectroscopy." Analytica Chimica Acta 223 (1989): 75–93. http://dx.doi.org/10.1016/s0003-2670(00)84075-1.

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47

Benomier, M., A. van Groenendael, B. Pinchemel, T. Hirao, and P. F. Bernath. "Near infrared spectroscopy of NiF." Journal of Molecular Spectroscopy 233, no. 2 (2005): 244–55. http://dx.doi.org/10.1016/j.jms.2005.07.002.

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48

Frost, Ray L., Kristy L. Erickson, Moses O. Adebajo, and Matt L. Weier. "Near-infrared spectroscopy of autunites." Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy 61, no. 3 (2005): 367–72. http://dx.doi.org/10.1016/j.saa.2004.04.010.

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49

HARRIS, D. N. F., and S. M. BAILEY. "Near infrared spectroscopy in adults." Anaesthesia 48, no. 8 (1993): 694–96. http://dx.doi.org/10.1111/j.1365-2044.1993.tb07183.x.

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50

Maier, C., S. J. Lilly, C. M. Carollo, A. Stockton, and M. Brodwin. "Near‐Infrared Spectroscopy of 0.4." Astrophysical Journal 634, no. 2 (2005): 849–60. http://dx.doi.org/10.1086/497091.

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