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Journal articles on the topic 'Near-infrared technology'

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1

McClure, W. Fred. "Near Infrared Technology Moves South." NIR news 3, no. 6 (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 (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 (1997): 8–9. http://dx.doi.org/10.1255/nirn.407.

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4

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 (2007): 38–46. http://dx.doi.org/10.1109/memb.2007.384094.

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5

Manning-Geist, Beryl, Andreas Obermair, Vance A. Broach, Mario M. Leitao, Oliver Zivanovic, and Nadeem R. Abu-Rustum. "Update on near infrared imaging technology: indocyanine green and near infrared technology in the treatment of gynecologic cancers." International Journal of Gynecologic Cancer 34, no. 3 (2024): 416–20. http://dx.doi.org/10.1136/ijgc-2023-004583.

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6

Hernández-Hierro, J. M., I. González-Martín, V. Villaescusa-García, et al. "Control of quality and silo storage of sunflower seeds using near infrared technology." Grasas y Aceites 64, no. 1 (2013): 30–35. http://dx.doi.org/10.3989/gya.096312.

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7

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 o
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8

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 (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.
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9

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 (2019): 1565–89. http://dx.doi.org/10.1080/03639045.2019.1641510.

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10

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 (2007): 25–29. http://dx.doi.org/10.1109/memb.2007.384092.

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11

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

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12

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

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13

Tsuji, Miles. "Cerebral Monitoring by Near-Infrared Spectroscopy." Journal of Intensive Care Medicine 11, no. 3 (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
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14

Hu, Haiguang, та Na Zhou. "Utilization of NIR photosensitive π-conjugated materials in sports using near infrared spectroscopy imaging: Real-time measurement of muscle oxygenation levels". Molecular & Cellular Biomechanics 21 (2 серпня 2024): 174. http://dx.doi.org/10.62617/mcb.v21.174.

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The measurement of muscle oxygenation levels by near infrared spectroscopy imaging technology is hindered by light scattering and absorption in tissues. This leads to a limited measurement range and necessitates a significant amount of time for optical signal acquisition. Therefore, this article used photosensitive π-conjugated materials for measurement optimization in near infrared spectroscopy imaging technology. Firstly, photosensitive π-conjugated materials were applied to near infrared spectrometers for spectral measurements. Secondly, the elimination of uninformative variables and the ra
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15

Perelli, Federica, Emanuele Arturo Fera, Marco Giusti, et al. "Pelvic Sentinel Lymph Node Biopsy for Endometrial Cancer with Multi-Modal Infrared Signal Technology: A Video Article." Healthcare 12, no. 17 (2024): 1752. http://dx.doi.org/10.3390/healthcare12171752.

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This video article summarizes a case study involving the use of pelvic sentinel lymph node (SLN) biopsy for endometrial cancer (EC) staging and treatment utilizing a multi-modal infrared signal technology. This innovative approach combines cervical injection of fluorescent dye indocyanine green (ICG) and near-infrared imaging to enhance SLN detection rates in early-stage EC patients. The study showcases the successful application of advanced technology in improving surgical staging procedures and reducing postoperative morbidity for patients. Multi-modal infrared signal technology consists of
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16

Liu, Jingrui. "Review Of Near Infrared Spectrum Detection Based on Deep Learning." Highlights in Science, Engineering and Technology 57 (July 11, 2023): 101–7. http://dx.doi.org/10.54097/hset.v57i.9986.

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Near infrared spectroscopy technology has the characteristics of accurate analysis of material composition and characteristics, quantitative testing, non-destructive testing, and so on. With the progress of artificial intelligence and the development of deep learning technology, near-infrared spectroscopy detection systems based on deep learning algorithms have emerged, which include various typical methods and have achieved good application results in food safety monitoring, pollutant detection, and drug analysis. This article provides a systematic review of domestic and foreign literature, i
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17

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 (2019): 631–40. http://dx.doi.org/10.1111/ijfs.14317.

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18

T., Priyanka. "Night Vision Technology – A Study." Recent Trends in Analog Design and Digital Devices 6, no. 3 (2023): 27–31. https://doi.org/10.5281/zenodo.10258810.

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<i>The term "Night Vision" refers to the numerous methods of "adjusting vision in low light" and providing us with the enigmatic ability to see in complete darkness. This invention is a combination of several diverse approaches, each with unique drawbacks and focal points. Thermal and Low-Light imaging among these, imaging and illumination are the most widely used. Diverse night vision devices (NVDs) enable the production of images at progressively darker light levels and provide insight into a range of applications where night vision technology is employed to address diverse problems caused b
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19

Khuwijitjaru, Pramote. "Near infrared spectroscopy research performance in food science and technology." NIR news 29, no. 3 (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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20

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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21

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

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22

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 (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
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23

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

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24

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 (2011): 1064–69. http://dx.doi.org/10.1002/jsfa.4283.

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25

Hielscher, A. H., A. Y. Bluestone, G. S. Abdoulaev, et al. "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 computeri
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26

Hart, Charlotte, and Elizabeth Weathers. "Near-Infrared Technology for Improved PIVC Placement: A Clinical Technology Implementation Model." Journal of the Association for Vascular Access 29, no. 2 (2024): 44–50. http://dx.doi.org/10.2309/1557-1289-29.2.44.

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ABSTRACT Aims: To share lessons learned from an evidence-based practice (EBP) initiative that implemented near-infrared (NIR) technology in a large US hospital system. A Clinical Technology Implementation Model (CTIM©) that can be adapted for use in other health institutions is presented. Background: EBP implementation, including the adoption of new cutting-edge technologies, is crucial to improving patient care. Yet there are significant delays in changes to clinical practice, often due to organisational challenges that stifle the implementation process. The evidence−practice gap is increasin
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27

Hart, Charlotte, and Elizabeth Weathers. "Near-infrared technology for improved PIVC placement: a clinical technology implementation model." British Journal of Nursing 33, no. 7 (2024): S10—S17. http://dx.doi.org/10.12968/bjon.2024.33.7.s10.

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Aims: To share lessons learned from an evidence-based practice (EBP) initiative that implemented near-infrared (NIR) technology in a large US hospital system. A Clinical Technology Implementation Model (CTIM©) that can be adapted for use in other health institutions is presented. Background: EBP implementation, including the adoption of new cutting-edge technologies, is crucial to improving patient care. Yet there are significant delays in changes to clinical practice, often due to organisational challenges that stifle the implementation process. The evidence−practice gap is increasingly evide
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28

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

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29

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 quali
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30

Su, Yingbin, Yawei Miao, Yaowei Zhu, et al. "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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31

Macedo, Antonio Luiz de Vasconcellos, and Vladimir Schraibman. "Intraoperative near-infrared fluorescent imaging during robotic operations." Einstein (São Paulo) 14, no. 4 (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
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32

Hirtz, Deborah G. "Report of the National Institute of Neurological Disorders and Stroke Workshop on Near Infrared Spectroscopy." Pediatrics 91, no. 2 (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 mo
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33

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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34

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 r
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35

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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36

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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37

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

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38

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

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39

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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40

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

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41

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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42

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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43

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 (2018): 609–15. http://dx.doi.org/10.1016/s1872-2040(17)61081-8.

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44

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

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45

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 (2014): 1681–85. http://dx.doi.org/10.1517/17425247.2014.930435.

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46

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

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47

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

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48

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

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49

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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50

Wang, Jinshuo. "Research on Near-Infrared Non-Invasive Blood Glucose Detection Technology." MATEC Web of Conferences 410 (2025): 04020. https://doi.org/10.1051/matecconf/202541004020.

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Diabetes is a chronic disease posing significant threats to global public health, where precision blood glucose monitoring serves as a cornerstone of effective disease management. While invasive blood sampling techniques remain prevalent in clinical practice, their inherent drawbacks—including patient discomfort and potential infection risks— have positioned non-invasive glucose detection as a major focus of scientific research. This study is based on near-infrared spectroscopy technology (780- 2500nm) to systematically analyze the characteristic absorption of hydrogen-containing functional gr
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