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Journal articles on the topic 'Near-infrared technology'

Author: Grafiati
Published: 10 March 2023

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1

McClure, W. Fred. "Near Infrared Technology Moves South." NIR news 3, no. 6 (December 1992): 10–11. http://dx.doi.org/10.1255/nirn.157.

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2

Williams, Phil. "Near Infrared Technology in Canada." NIR news 6, no. 4 (August 1995): 12–13. http://dx.doi.org/10.1255/nirn.317.

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3

Petersen, Julio Cesar. "Near Infrared Technology in Latin America." NIR news 8, no. 2 (April 1997): 8–9. http://dx.doi.org/10.1255/nirn.407.

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4

Hernández-Hierro, J. M., I. González-Martín, V. Villaescusa-García, F. López-González, C. Oiz-Jiménez, I. A. Lobos-Ortega, and B. Gordillo. "Control of quality and silo storage of sunflower seeds using near infrared technology." Grasas y Aceites 64, no. 1 (February 4, 2013): 30–35. http://dx.doi.org/10.3989/gya.096312.

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5

Izzetoglu, Meltem, Scott C. Bunce, Kurtulus Izzetoglu, Banu Onaral, and and Kambiz Pourrezaei. "Functional brain imaging using near-infrared technology." IEEE Engineering in Medicine and Biology Magazine 26, no. 4 (July 2007): 38–46. http://dx.doi.org/10.1109/memb.2007.384094.

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6

Razuc, M., A. Grafia, L. Gallo, M. V. Ramírez-Rigo, and R. J. Romañach. "Near-infrared spectroscopic applications in pharmaceutical particle technology." Drug Development and Industrial Pharmacy 45, no. 10 (July 17, 2019): 1565–89. http://dx.doi.org/10.1080/03639045.2019.1641510.

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7

Nishimura, Erin, J. Patrick Stautzenberger, William Robinson, Traci H. Downs, and J. Hunter Downs. "A new approach to functional near-infrared technology." IEEE Engineering in Medicine and Biology Magazine 26, no. 4 (July 2007): 25–29. http://dx.doi.org/10.1109/memb.2007.384092.

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8

Siesler, Heinz. "1992 Tomas Hirschfeld Award in near Infrared Technology." NIR news 2, no. 6 (December 1991): 7. http://dx.doi.org/10.1255/nirn.92.

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9

McClure, W. Fred. "204 Years of near Infrared Technology: 1800–2003." Journal of Near Infrared Spectroscopy 11, no. 6 (December 2003): 487–518. http://dx.doi.org/10.1255/jnirs.399.

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10

Tsuji, Miles. "Cerebral Monitoring by Near-Infrared Spectroscopy." Journal of Intensive Care Medicine 11, no. 3 (May 1996): 162–72. http://dx.doi.org/10.1177/088506669601100303.

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Near-infrared spectroscopy (NIRS) is a noninvasive optical monitoring technology that can provide information on relative cerebral oxyhemoglobin, deoxyhemoglobin, and oxidized cytochrome aa3 concentrations. Unlike other bedside clinical monitoring technologies, NIRS provides direct information on cerebral hemoglobin oxygenation and blood volume changes. NIRS recordings have documented changes in cerebral oxygenation in fetuses during labor, critically ill premature infants, cardiopulmonary bypass patients, and adult surgical patients. This information may improve understanding of the causes of brain injury and allow detection of inadequate oxygen delivery before brain injury occurs. Future developments in NIRS technology are likely to produce practical, quantitative bedside monitors of global and regional cerebral oxygenation.
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11

Yang, Xing, Yong Shun Ling, Xiao Li Hao, Hua Yang, and Peng Ma. "Anti-Alteration Technology for License Plate Recognition System." Advanced Materials Research 211-212 (February 2011): 156–60. http://dx.doi.org/10.4028/www.scientific.net/amr.211-212.156.

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In order to realize anti-alteration function for License Plate Recognition System (LPRS), a uniform-field imaging system is designed and a corresponding anti-alteration algorithm is proposed. First, reflection characteristics of license plate and typical alteration material are measured. As a result, the two characteristics in near-infrared range fluctuate moderately and the former is notably lower than the latter. Then the uniform-field imaging system for visible-light and near-infrared is designed to capture the difference above effectively. Finally, the anti-alteration algorithm, composed of license plate location, character matching segmentation and alteration recognition, is introduced. Experimental results have indicated that visible-light and near-infrared images can be acquired stably by the proposed system under the condition of natural illumination and there are discriminable gray differences between license plate and alteration material in near-infrared images; and that success rate and average executive time of the algorithm are 86.5% and 157ms respectively.
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12

Zhang, Yanmin, and Wenchuan Guo. "Moisture content detection of maize seed based on visible/near‐infrared and near‐infrared hyperspectral imaging technology." International Journal of Food Science & Technology 55, no. 2 (August 18, 2019): 631–40. http://dx.doi.org/10.1111/ijfs.14317.

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13

Mudeng, Vicky, Gelan Ayana, Sung-Uk Zhang, and Se-woon Choe. "Progress of Near-Infrared-Based Medical Imaging and Cancer Cell Suppressors." Chemosensors 10, no. 11 (November 11, 2022): 471. http://dx.doi.org/10.3390/chemosensors10110471.

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Diffuse optical tomography, an imaging modality that utilizes near-infrared light, is a new way to assess soft tissue. It provides a non-invasive screening of soft tissue, such as the breast in females and prostate in males, to inspect the existence of cancer. This new imaging method is considered cost-effective and preferred because the implementation is simply through the application of a laser or light-emitting diode as a light source. Near-infrared technology does not only offer cancer screening modality, but also acts as a cancer treatment method, called near-infrared photoimmunotherapy. Despite plentiful studies in the area of near-infrared technology for cancer imaging and cancer cell suppression, there is no consolidated review that provides an overview of near-infrared application in cancer cell imaging and therapy. The objective of this study is to review near-infrared-based medical imaging and novel approaches to eradicate cancer cells. Additionally, we have discussed prospective instrumentation to establish cancer therapeutics apparatuses based on near-infrared technology. This review is expected to guide researchers implementing near-infrared for a medical imaging modality and cancer suppression in vitro, in vivo, and in clinical settings.
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14

Zhang, Quan, Hongyan Ma, Shoko Nioka, and Britton Chance. "Study of near infrared technology for intracranial hematoma detection." Journal of Biomedical Optics 5, no. 2 (2000): 206. http://dx.doi.org/10.1117/1.429988.

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15

Tamburini, Elena, Maria Marchetti, and Paola Pedrini. "Monitoring Key Parameters in Bioprocesses Using Near-Infrared Technology." Sensors 14, no. 10 (October 13, 2014): 18941–59. http://dx.doi.org/10.3390/s141018941.

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16

Edney, M. J., J. E. Morgan, P. C. Williams, and L. D. Campbell. "Analysis of Feed Barley by near Infrared Reflectance Technology." Journal of Near Infrared Spectroscopy 2, no. 1 (January 1994): 33–41. http://dx.doi.org/10.1255/jnirs.29.

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Rapid methods for predicting feed barley quality with near infrared (NIR) reflectance spectroscopy were investigated. Reference tests for true metabolisable energy (TME), in vitro digestibility, neutral-detergent fibre, protein and kernel plumpness in feed barley is time-consuming. Near infrared technology can save considerable time by testing all of the above simultaneously, but accurate calibration of the equipment is essential. Calibration requires accurate results from chemical or physical tests and wide variance in reference data. Our calibration data sets were selected from over 800 feed barley (hulless, two- and six-rowed) samples that were grown at various locations across the Canadian Prairies in 1990 or 1991. Calibrations for a NIRSystems 6500 scanning spectrophotometer, using both whole and ground kernels, were calculated using one of three basic mathematical treatments: log (1/ R) or the first or second derivative thereof. Partial Least Squares regression was applied to the best mathematical treatment and further calibrations were generated where applicable. We found correlations of 0.95 (TME), 0.98 ( in vitro digestibility), 0.90 (NDF), 0.97 (protein) and 0.91 (kernel plumpness). Standard errors of prediction were 0.21, 0.97, 0.65, 0.31 and 11.5, respectively.
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17

Calderon-Arnulphi, Mateo, Ali Alaraj, and Konstantin V. Slavin. "Near infrared technology in neuroscience: past, present and future." Neurological Research 31, no. 6 (July 2009): 605–14. http://dx.doi.org/10.1179/174313209x383286.

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18

González-Martín, Inmaculada, José Miguel Hernández-Hierro, Javier Salvador-Esteban, Claudio González-Pérez, Isabel Revilla, and Ana Vivar-Quintana. "Discrimination of seasonality in cheeses by near-infrared technology." Journal of the Science of Food and Agriculture 91, no. 6 (February 15, 2011): 1064–69. http://dx.doi.org/10.1002/jsfa.4283.

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19

Bello, K. A., and J. O. Ajayi. "Near-infrared absorbing squarylium dyes." Dyes and Pigments 31, no. 2 (June 1996): 79–87. http://dx.doi.org/10.1016/0143-7208(95)00086-0.

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20

Hielscher, A. H., A. Y. Bluestone, G. S. Abdoulaev, A. D. Klose, J. Lasker, M. Stewart, U. Netz, and J. Beuthan. "Near-Infrared Diffuse Optical Tomography." Disease Markers 18, no. 5-6 (2002): 313–37. http://dx.doi.org/10.1155/2002/164252.

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Diffuse optical tomography (DOT) is emerging as a viable new biomedical imaging modality. Using near-infrared (NIR) light, this technique probes absorption as well as scattering properties of biological tissues. First commercial instruments are now available that allow users to obtain cross-sectional and volumetric views of various body parts. Currently, the main applications are brain, breast, limb, joint, and fluorescence/bioluminescence imaging. Although the spatial resolution is limited when compared with other imaging modalities, such as magnetic resonance imaging (MRI) or X-ray computerized tomography (CT), DOT provides access to a variety of physiological parameters that otherwise are not accessible, including sub-second imaging of hemodynamics and other fast-changing processes. Furthermore, DOT can be realized in compact, portable instrumentation that allows for bedside monitoring at relatively low cost. In this paper, we present an overview of current state-of-the -art technology, including hardware and image-reconstruction algorithms, and focus on applications in brain and joint imaging. In addition, we present recent results of work on optical tomographic imaging in small animals.
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21

Khuwijitjaru, Pramote. "Near infrared spectroscopy research performance in food science and technology." NIR news 29, no. 3 (March 1, 2018): 12–14. http://dx.doi.org/10.1177/0960336018763197.

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Near infrared spectroscopy has been employed by researchers and industries in various areas including food science and technology. In this article, data from Scopus database were analyzed to highlight the recent trends of research in this area. Also, the relation between research works and the current application and development of near infrared spectroscopy in food science and technology is discussed.
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22

Macedo, Antonio Luiz de Vasconcellos, and Vladimir Schraibman. "Intraoperative near-infrared fluorescent imaging during robotic operations." Einstein (São Paulo) 14, no. 4 (December 2016): 577–79. http://dx.doi.org/10.1590/s1679-45082016md3658.

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ABSTRACT The intraoperative identification of certain anatomical structures because they are small or visually occult may be challenging. The development of minimally invasive surgery brought additional difficulties to identify these structures due to the lack of complete tactile sensitivity. A number of different forms of intraoperative mapping have been tried. Recently, the near-infrared fluorescence imaging technology with indocyanine green has been added to robotic platforms. In addition, this technology has been tested in several types of operations, and has advantages such as safety, low cost and good results. Disadvantages are linked to contrast distribution in certain clinical scenarios. The intraoperative near-infrared fluorescent imaging is new and promising addition to robotic surgery. Several reports show the utility of this technology in several different procedures. The ideal dose, time and site for dye injection are not well defined. No high quality evidence-based comparative studies and long-term follow-up outcomes have been published so far. Initial results, however, are good and safe.
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23

Zhang Jing, 张静, 蔡玉汝 Cai Yuru, 黄勤清 Huang Qinqing, 周文 Zhou Wen, and 程林 Cheng Lin. "Near-Infrared Comb Spectroscopy Technology Based on Flat Coherent Supercontinuum." Chinese Journal of Lasers 48, no. 7 (2021): 0711003. http://dx.doi.org/10.3788/cjl202148.0711003.

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24

Zhou Zili, 周子立, 蒋璐璐 Jiang Lulu, 谈黎虹 Tan Lihong, 何勇 He Yong, 李晓丽 Li Xiaoli, and 邵咏妮 Shao Yongni. "Discrimination of Oil Varieties by Using Near Infrared Spectral Technology." Acta Optica Sinica 29, no. 8 (2009): 2203–7. http://dx.doi.org/10.3788/aos20092908.2203.

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25

OKURA, TSUTOMU. "II-1. Principle and instrumental technology of near-infrared spectroscopy." NIPPON SUISAN GAKKAISHI 88, no. 5 (September 15, 2022): 411. http://dx.doi.org/10.2331/suisan.wa2979-3.

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26

Hammond, R. P. "Practical Application of near Infrared Technology to On-Line Measurement." Measurement and Control 28, no. 8 (October 1995): 232–37. http://dx.doi.org/10.1177/002029409502800802.

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27

吴, 同. "Identification of Specific Liquor Based on Near-Infrared Spectroscopy Technology." Advances in Analytical Chemistry 06, no. 01 (2016): 1–6. http://dx.doi.org/10.12677/aac.2016.61001.

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28

Itozaki, Hideo. "Near infrared inspection technology of bottled explosive liquid in airports." NIR news 31, no. 1-2 (November 20, 2019): 9–15. http://dx.doi.org/10.1177/0960336019889283.

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29

Abdel-Moati, Hazem, Jonathan Morris, Yousheng Zeng, Martin Wesley Corie, and Victor Garas Yanni. "Near field ice detection using infrared based optical imaging technology." Optics & Laser Technology 99 (February 2018): 402–10. http://dx.doi.org/10.1016/j.optlastec.2017.09.029.

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30

Jamrógiewicz, Marzena. "Application of the near-infrared spectroscopy in the pharmaceutical technology." Journal of Pharmaceutical and Biomedical Analysis 66 (July 2012): 1–10. http://dx.doi.org/10.1016/j.jpba.2012.03.009.

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31

XIE, Yue, Fei-Yue LI, Xing-Jun FAN, Shui-Jin HU, Xin XIAO, and Jian-Fei WANG. "Components Analysis of Biochar Based on Near Infrared Spectroscopy Technology." Chinese Journal of Analytical Chemistry 46, no. 4 (April 2018): 609–15. http://dx.doi.org/10.1016/s1872-2040(17)61081-8.

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32

Milman, Steven, and Thomas Ng. "Commentary: Near-infrared florescence technology revisits an age-old debate." Journal of Thoracic and Cardiovascular Surgery 157, no. 5 (May 2019): 2070–71. http://dx.doi.org/10.1016/j.jtcvs.2018.12.015.

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33

Timko, Brian P., and Daniel S. Kohane. "Prospects for near-infrared technology in remotely triggered drug delivery." Expert Opinion on Drug Delivery 11, no. 11 (July 9, 2014): 1681–85. http://dx.doi.org/10.1517/17425247.2014.930435.

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34

Drennen, James K. "Near Infrared Spectroscopy and Process Analytical Technology at Duquesne University." NIR news 16, no. 5 (August 2005): 9–14. http://dx.doi.org/10.1255/nirn.836.

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35

Xiaoli, Chu, and Lu Jie. "Research and Application Status of near Infrared Technology in China." NIR news 25, no. 6 (September 2014): 13–15. http://dx.doi.org/10.1255/nirn.1470.

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36

Liu, Dayang, and Wenchuan Guo. "Identifying CPPU-Treated Kiwifruits Using Near-Infrared Hyperspectral Imaging Technology." Food Analytical Methods 10, no. 5 (October 15, 2016): 1273–83. http://dx.doi.org/10.1007/s12161-016-0681-5.

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37

You, Zhilang, Mingyi Zhang, Jiwei Wang, and Wansheng Pei. "A black near-infrared reflective coating based on nano-technology." Energy and Buildings 205 (December 2019): 109523. http://dx.doi.org/10.1016/j.enbuild.2019.109523.

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38

Mendoza-Figueroa, Virginia, and Jesús de la Cruz-Alejo. "Michelson Interferometer for near Infrared Wavelengths." Advanced Materials Research 677 (March 2013): 79–84. http://dx.doi.org/10.4028/www.scientific.net/amr.677.79.

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This paper presents an architecture to simplify a Michelson Interferometer, designed with MEMS technology in order to obtain the near infrared wavelengths in the range of [1620-1800 nm], which will be used in a non-invasive micro sensor of glucose. The input interferometer is fed with a white light source. The poli-silicon, superficial and bulk processes are utilized to design the architecture. The interferometer is based on dividing the design into three parts formed by two gears, a zipper and two mirrors at 90° each of one, for achieving resolution improvement without decreasing mechanical resistance of the parts. Each part is modeled mathematically and their behavior is verified using different analysis in-SolidWorksTM. On the other hand, the beamsplitter of the Michelson Interferometer is placed at 45° with respect to mirrors. The simulation results demonstrate the validity of the behavior of interferometer proposed.
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39

Evdokimov, Igor N., Aleksey A. Fesan, and Aleksandr P. Losev. "Asphaltenes: Absorbers and Scatterers at Near-Ultraviolet–Visible–Near-Infrared Wavelengths." Energy & Fuels 31, no. 4 (March 24, 2017): 3878–84. http://dx.doi.org/10.1021/acs.energyfuels.7b00114.

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40

Wang, Xing, Meizhen Wang, Xuejun Liu, Litao Zhu, Shuaiyi Shi, Thomas Glade, Mingzheng Chen, Yujia Xie, Yiguang Wu, and Yufeng He. "Near-infrared surveillance video-based rain gauge." Journal of Hydrology 618 (March 2023): 129173. http://dx.doi.org/10.1016/j.jhydrol.2023.129173.

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41

Yin, Jing. "Applied Study of Pattern Recognition and Near Infrared Spectroscopy." Applied Mechanics and Materials 239-240 (December 2012): 223–28. http://dx.doi.org/10.4028/www.scientific.net/amm.239-240.223.

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According to the status of lacking fast detection technology to adulteration olive oil, the paper presented a new method based on near infrared spectroscopy technology and pattern recognition. 10 samples of pure olive oil were collected. 2 kinds of adulteration samples were respectively made up with soybean oil and rapeseed oil. The Identification models were build respectively by support vector machines and hierarchial clustering. The result showed that the model’s performance built by SVM was better than the model by hierarchial clustering. The recognition ratio and prediction ratio of SVM were 100%.The experiments shown that the fast detection technology based on NIR and pattern recognition had better feasibility and practicability in identifying adulteration olive oil.
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42

Gan, Ya Wen, Yi Zhang, and Shu Hua Yuan. "The Research of Qualitative Analysis Method for Far-Infrared Fiber." Advanced Materials Research 785-786 (September 2013): 573–77. http://dx.doi.org/10.4028/www.scientific.net/amr.785-786.573.

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Far-infrared fiber can promote blood circulation, accelerate microcirculation and thermal insulation.It also has a very strong effect for health care. In view of these functions, far-infrared fiber has industrialization, and widely used in clothing, bedding. But it has no unified method for far-infrared fiber qualitative analysis. This paper briefly describes the basic content of the Near-infrared Spectroscopy technology.Use Shanghai Lengguang S400 near-infrared quality analyzer , using Near-infrared spectroscopy technology and using PLA method to establish the far-infrared polypropylene qualitative model and the far-infrared polyester qualitative model.This method can rapidly and accurately to do qualitative analysis of far-infrared fiber.
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43

Su, Yingbin, Yawei Miao, Yaowei Zhu, Wentao Zou, Bing Yu, Youqing Shen, and Hailin Cong. "A design strategy for D–A conjugated polymers for NIR-II fluorescence imaging." Polymer Chemistry 12, no. 32 (2021): 4707–13. http://dx.doi.org/10.1039/d1py00470k.

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The development of bioimaging technology in recent years has shown that second near-infrared (NIR-II) fluorescence imaging (FI) is gradually replacing the traditional visible light and first near-infrared (NIR-I) FI.
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44

Bellon, Véronique, Jean Louis Vigneau, and Francis Sévila. "Infrared and near-infrared technology for the food industry and agricultural uses: on-line applications." Food Control 5, no. 1 (January 1994): 21–27. http://dx.doi.org/10.1016/0956-7135(94)90129-5.

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45

Chang, Xiao-Hui, Jie Zhang, Lin-Huan Wu, Yan-Kun Peng, Xiang-Ying Yang, Xiao-Lin Li, Ai-Jin Ma, Jun-Cai Ma, and Guang-Quan Chen. "Research Progress of Near-Infrared Fluorescence Immunoassay." Micromachines 10, no. 6 (June 24, 2019): 422. http://dx.doi.org/10.3390/mi10060422.

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Near-infrared fluorescence probes (NIFPs) have been widely used in immunoassay, bio-imaging and medical diagnosis. We review the basic principles of near-infrared fluorescence and near-infrared detection technology, and summarize structures, properties and characteristics of NIFPs (i.e., cyanines, xanthenes fluorescent dyes, phthalocyanines, porphyrin derivates, single-walled carbon nanotubes (SWCNTs), quantum dots and rare earth compounds). We next analyze applications of NIFPs in immunoassays, and prospect the application potential of lateral flow assay (LFA) in rapid detection of pathogens. At present, our team intends to establish a new platform that has highly sensitive NIFPs combined with portable and simple immunochromatographic test strips (ICTSs) for rapid detection of food-borne viruses. This will provide technical support for rapid detection on the port.
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46

Tran, Nhu N., Michelle Tran, Jeraldine Lopez, Maxine Ogbaa, Jodie K. Votava-Smith, and Ken M. Brady. "Near-Infrared Spectroscopy: Clinical Use in High-Risk Neonates." Neonatal Network 40, no. 2 (March 1, 2021): 73–79. http://dx.doi.org/10.1891/0730-0832/11-t-678.

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In this review, we describe the near-infrared spectroscopy (NIRS) technology and its clinical use in high-risk neonates in critical care settings. We searched databases (e.g., PubMed, Google Scholar, EBSCOhost) to find studies describing the use of NIRS on critically ill and high-risk neonates. Near-infrared spectroscopy provides continuous noninvasive monitoring of venous oxygen saturation. It uses technology similar to pulse oximetry to measure the oxygen saturation of hemoglobin in a tissue bed to describe the relative delivery and extraction of oxygen. Near-infrared spectroscopy can be a valuable bedside tool to provide clinicians indirect evidence of perfusion. It may prompt early interventions that promote oxygen delivery, which can improve high-risk neonatal outcomes.
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47

Abu-Rustum, Nadeem R., Roberto Angioli, Arthur E. Bailey, Vance Broach, Alessandro Buda, Michelle R. Coriddi, Joseph H. Dayan, et al. "IGCS Intraoperative Technology Taskforce. Update on near infrared imaging technology: beyond white light and the naked eye, indocyanine green and near infrared technology in the treatment of gynecologic cancers." International Journal of Gynecologic Cancer 30, no. 5 (March 30, 2020): 670–83. http://dx.doi.org/10.1136/ijgc-2019-001127.

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48

Hirtz, Deborah G. "Report of the National Institute of Neurological Disorders and Stroke Workshop on Near Infrared Spectroscopy." Pediatrics 91, no. 2 (February 1, 1993): 414–17. http://dx.doi.org/10.1542/peds.91.2.414.

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A workshop about near infrared spectroscopy (NIRS), an emerging technology used to measure cerebral oxygenation and blood flow, was sponsored by the Developmental Neurology Branch, Division of Convulsive, Developmental, and Neuromuscular Disorders of the National Institute of Neurological Disorders and Stroke in Bethesda, MD, on March 31 and April 1, 1992. This was an international work-shop designed to bring together experts in the development of this technology with clinical researchers. Topics covered included the history and background of the development of NIRS technology, experimental models for the use of NIRS, clinical experience with NIRS in the neonate and the intrapartum fetus, and current key research issues with regard to technology and clinical use. THE TECHNOLOGY Near infrared spectroscopy is a new application of an existing technology which can provide information about changes in cerebral oxygen saturation, cerebral blood flow and volume, and oxygen utilization in the brain. The technology has been used for a long time to monitor hemoglobin, but only more recently for cytochrome oxidase. It involves the same basic principle used in the pulse oximeter, which uses light in the visible range to detect changes in finger arterial oxygen saturation. The method is based on the fact that light in the near infrared range (700 to 1000 nm) can pass through skin, bone, and other tissues relatively easily and that there are characteristic absorption bands of oxygenated and deoxygenated hemoglobin, and of the mitochondrial enzyme cytochrome oxidase (or cytochrome AA3) in the near infrared range. When the near infrared beam is passed through tissue, a decrease in signal intensity results from the absorbance of the chromophores in the medium.
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49

Kim, Sung-Tae, Ji-Seon Yoo, Min-Woo Lee, Ji-Won Jung, and Jae-Hyung Jang. "CuInSe2-Based Near-Infrared Photodetector." Applied Sciences 12, no. 1 (December 22, 2021): 92. http://dx.doi.org/10.3390/app12010092.

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Near-infrared (NIR) photodetectors have interesting roles in optical fiber communications and biomedical applications. Conventional NIR photodetectors have been realized using InGaAs and Ge, of which the cut-off wavelengths exceed 1500 nm. Si-based photodetectors exhibit limited external quantum efficiency at wavelengths longer than 1000 nm. By synthesizing a CuInSe2 compound on a glass substrate, photodetectors that can detect optical wavelengths longer than 1100 nm have been realized in this study. The bandgap energies of the CuInSe2 thin films were tuned by varying the Cu/In ratio from 1.02 to 0.87. The longest cut-off wavelength (1309 nm) was obtained from a CuInSe2 thin film having a Cu/In ratio of 0.87. The responsivity of the photodiode was measured under the illumination of a 1064 nm laser light. The photo responses exhibited linear response up to 2.33 mW optical illumination and a responsivity of 0.60 A/W at −0.4 V.
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50

Fu, Nv Ting, Ke Zhao, Min Zhao, and Yan Xiong. "Research of the Detection of Apple Sugar Conten Based on Machine Vision and near Infrared Spectroscopy." Advanced Materials Research 314-316 (August 2011): 1823–28. http://dx.doi.org/10.4028/www.scientific.net/amr.314-316.1823.

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In this paper, use the basic principles of near infrared to detect the spectral characteristics of apple, as the research object of Fuji apple, and then establish the model of near infrared technology forecasting apple sugar content, to discover the sugar content in apple. The results show that near infrared transmission spectroscopy can be used as an accurate, reliable, nondestructive testing method, the test has obvious advantages for detecting indicators of Fuji apple sugar.
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