Article
Agriculture, Multidisciplinary
Ge Jin, Yifan Xu, Chuanjian Cui, Yuanyuan Zhu, Jianfa Zong, Huimei Cai, Jingming Ning, Chaoling Wei, Ruyan Hou
Summary: This study demonstrates the rapid identification of Taiping Houkui (TPHK) green tea of narrow geographical origin using Fourier-transform near-infrared (FT-NIR) spectroscopy. The optimized variable selection method in combination with NIR spectroscopy represents a suitable strategy for tea traceability in narrow regions.
JOURNAL OF THE SCIENCE OF FOOD AND AGRICULTURE
(2022)
Article
Spectroscopy
Pauline Ong, Suming Chen, Chao-Yin Tsai, Yung-Kun Chuang
Summary: In this study, near-infrared spectroscopy was used for non-destructive determination of theanine in oolong tea. The flower pollination algorithm (FPA) was utilized for selecting discriminative wavelengths for partial least squares regression (PLSR), resulting in improved predictive performance and reduced model complexity. The optimized model using FPA outperformed other wavelength selection methods and showed potential for enhancing predictability of PLSR.
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
(2021)
Article
Food Science & Technology
Lingzhi Zhang, Haomin Dai, Jialin Zhang, Zhiqiang Zheng, Bo Song, Jiaya Chen, Gang Lin, Linhai Chen, Weijiang Sun, Yan Huang
Summary: This study used near-infrared spectroscopy (NIRS) to establish identification models for the geographical origins of white tea. Different preprocessing methods and feature extraction approaches were applied, and machine learning algorithms were used to build the models. The results showed that NIRS combined with machine learning algorithms can be an effective tool for traceability of white tea's geographical origin.
Article
Agriculture, Dairy & Animal Science
Fabio Zicarelli, Fiorella Sarubbi, Piera Iommelli, Micaela Grossi, Daria Lotito, Pietro Lombardi, Raffaella Tudisco, Federico Infascelli, Nadia Musco
Summary: The nutritional quality of forage strongly affects the performance and health of ruminants. Analyzing forage characteristics accurately and timely is crucial for formulating adequate animal rations. Near Infrared Spectroscopy (NIRS) technology provides a fast and accurate alternative to traditional laboratory analysis. This trial analyzed over 400 hay samples from the Campania region in Italy using portable NIRS, revealing significant differences in hay quality among different areas and highlighting the usefulness of NIRS for analyzing feed quality and formulating appropriate rations.
Article
Agriculture, Dairy & Animal Science
Jose Ignacio Amorena, Dolores Maria Eugenia Alvarez, Elvira Fernandez-Ahumada
Summary: Llama fibre production in the Puna region of Argentina has significant potential, but quality analysis systems are still inadequate. This study evaluated the feasibility of using near infrared reflectance spectroscopy to assess fibre diameter, showing promising results as a sustainable, fast and low-cost method for quality validation.
Review
Agronomy
Chiara Evangelista, Loredana Basirico, Umberto Bernabucci
Summary: The dairy industry is increasingly adopting new technologies such as near infrared spectroscopy (NIRS) to improve precision livestock farming. NIRS technology, particularly when used in dairy farming, provides quick and cost-effective analysis and helps improve livestock management. Studies have shown NIRS to be a reliable and predictive technology for various aspects of dairy cattle breeding.
Article
Chemistry, Multidisciplinary
Joel B. Johnson, Parbat Raj Thani, Mani Naiker
Summary: Adulteration of tea tree oil is a major threat to the Australian tea tree oil industry, and near-infrared spectroscopy can be used as a rapid, cheap, and non-destructive method to assess the level of adulteration.
Article
Engineering, Electrical & Electronic
Fawen Xie, Shuangyuan Huang, Tianchao Miao, Shiman He, Zeyu Lin, Longhan Xie
Summary: Near-infrared spectroscopy (NIRS) technology is a noninvasive tool that detects changes in hemoglobin concentration in human tissues through optical signals, allowing for the determination of muscle activation states. A multichannel NIRS system is essential for motion recognition, and the wireless communication and equipped upper computer system improve real-time monitoring and accuracy. The analysis of NIRS signals using common mode and difference mode shows superior performance.
IEEE SENSORS JOURNAL
(2022)
Article
Spectroscopy
Zhongyuan Liu, Rentian Zhang, Chongshan Yang, Bin Hu, Xin Luo, Yang Li, Chunwang Dong
Summary: This study successfully established a prediction model for the changes in moisture content during the processing of green tea using machine vision and near-infrared spectroscopy technology. The PLSR and SVR models based on middle-level data fusion showed better prediction accuracy compared to low-level data fusion.
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
(2022)
Article
Spectroscopy
Yamin Zuo, Gaohao Tan, Di Xiang, Ling Chen, Jiao Wang, Shengsheng Zhang, Zhiwen Bai, Qing Wu
Summary: The study demonstrates the important role of NIRS in improving green tea quality and highlights its position in the chemical-to-sensory relationships. The results suggest that NIRS can potentially serve as putative biomarkers for evaluating green tea flavor variations and support the comprehensive characterization of sensory-associated attribution.
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
(2021)
Article
Chemistry, Applied
Yutong Cui, Jianguo Wu, Yingying Chen, Fangchen Ji, Xinyuan Li, Jing Yang, Seung-Beom Hong, Zhujun Zhu, Yunxiang Zang
Summary: Okra pods are considered as a functional food due to their high content of flavonoid compounds. This study utilized near-infrared spectroscopy (NIRS) to develop calibration models for the flavonoid components in okra pods. The results showed that the combination of quercetin-3-O-xylose (QOXG) and total flavonoid content (TFC) models using certain spectral regions was the most effective. These models could accurately predict the flavonoid composition in okra pods.
Article
Multidisciplinary Sciences
Mariana Santos-Rivera, Amelia Woolums, Merrilee Thoresen, Ellianna Blair, Victoria Jefferson, Florencia Meyer, Carrie K. Vance
Summary: This study analyzed the NIR spectral profile of blood plasma from dairy calves infected with M. haemolytica to diagnose BRD, with high accuracy, sensitivity, and specificity. The results demonstrate the potential of NIRS as a diagnostic and monitoring tool of BRD in cattle over time, showing physiological and biochemical changes in the bloodstream during infection.
SCIENTIFIC REPORTS
(2021)
Article
Agriculture, Dairy & Animal Science
Samuel F. Leiva, Jorge L. Sandoval, Gerardo A. Abascal-Ponciano, Joshua J. Flees, Allan J. Calderon, Wilmer J. Pacheco, Charles W. Starkey
Summary: Near infrared reflectance spectroscopy (NIRS) is widely used in the feed industry for determining nutrient composition. This study evaluated the effect of corn particle size on the accuracy of NIRS nutrient estimations. The results highlight the importance of proper sample preparation for accurate nutrient content estimations from NIRS analysis.
ANIMAL FEED SCIENCE AND TECHNOLOGY
(2022)
Article
Chemistry, Multidisciplinary
Yasuhiro Kato, Jelena Muncan, Roumiana Tsenkova, Dusan Kojic, Masato Yasui, Jing-Yu Fan, Jing-Yan Han
Summary: This study demonstrated the successful discrimination of different water samples using near-infrared spectroscopy and aquaphotomics, revealing dynamic changes in water samples at different temperatures. Temperature perturbation could reveal subtle changes in water samples, such as aging and the loss of certain qualities during storage.
APPLIED SCIENCES-BASEL
(2021)
Article
Neurosciences
Penaz Parveen Sultana Mohammad, Sittiprapa Isarangura, Ann Eddins, Ashwin B. Parthasarathy
Summary: A comparison was made between CW-NIRS and multi-distance FD-NIRS approaches in measuring functional activation in the human auditory cortex, revealing that the changes in oxygenated hemoglobin measured with the multi-distance FD-NIRS were about twice as large as those measured with the CW-NIRS. A finite-element simulation demonstrated that tissue oxygenation changes measured with the CW-NIRS approach were more accurate than those with multi-distance FD-NIRS.
