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Zhang H, Huang L, Xu C, Li Z, Yin X, Chen T, Wang Y, Li G. Quantitative analysis method of Panax notoginseng based on thermal perturbation terahertz two-dimensional correlation spectroscopy. APPLIED OPTICS 2023; 62:5306-5316. [PMID: 37707236 DOI: 10.1364/ao.491777] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/27/2023] [Accepted: 06/13/2023] [Indexed: 09/15/2023]
Abstract
This paper proposes a Panax notoginseng (P. notoginseng) quantitative analysis based on terahertz time-domain spectroscopy and two-dimensional correlation spectroscopy (2DCOS). By imposing temperature perturbation combined with 2DCOS, the one-dimensional absorbance spectra were transformed into 2DCOS synchronous spectra, which reflected the differences in characteristic information between different P. notoginseng contents more clearly. Then, the feature information of P. notoginseng contents was extracted from the 2DCOS synchronous spectra by a competitive adaptive reweighted sampling (CARS) method and was used to build a quantitative model combined with a support vector regression machine (SVR), called 2DCOS-CARS-SVR. We obtained a more accurate analysis result than the commonly used principal component analysis (PCA)-partial least squares regression (PLSR) and PCA-SVR. The prediction set correlation coefficient and root mean square error reached 0.9915% and 0.8160%, respectively.
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Nadimi M, Hawley E, Liu J, Hildebrand K, Sopiwnyk E, Paliwal J. Enhancing traceability of wheat quality through the supply chain. Compr Rev Food Sci Food Saf 2023; 22:2495-2522. [PMID: 37078119 DOI: 10.1111/1541-4337.13150] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2022] [Revised: 03/02/2023] [Accepted: 03/16/2023] [Indexed: 04/21/2023]
Abstract
With the growing global population, the need for food is expected to grow tremendously in the next few decades. One of the key tools to address such growing food demand is minimizing grain losses and optimizing food processing operations. Hence, several research studies are underway to reduce grain losses/degradation at the farm (upon harvest) and later during the milling and baking processes. However, less attention has been paid to changes in grain quality between harvest and milling. This paper aims to address this knowledge gap and discusses possible strategies for preserving grain quality (for Canadian wheat in particular) during unit operations at primary, process, or terminal elevators. To this end, the importance of wheat flour quality metrics is briefly described, followed by a discussion on the effect of grain properties on such quality parameters. This work also explores how drying, storage, blending, and cleaning, as some of the common post-harvest unit operations, could affect grain's end-product quality. Finally, an overview of the available techniques for grain quality monitoring is provided, followed by a discussion on existing gaps and potential solutions for quality traceability throughout the wheat supply chain.
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Affiliation(s)
- Mohammad Nadimi
- Department of Biosystems Engineering, University of Manitoba, Winnipeg, Manitoba, Canada
| | | | - Jing Liu
- Department of Biosystems Engineering, University of Manitoba, Winnipeg, Manitoba, Canada
| | | | | | - Jitendra Paliwal
- Department of Biosystems Engineering, University of Manitoba, Winnipeg, Manitoba, Canada
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Ge H, Sun Z, Jiang Y, Wu X, Jia Z, Cui G, Zhang Y. Recent Advances in THz Detection of Water. Int J Mol Sci 2023; 24:10936. [PMID: 37446112 DOI: 10.3390/ijms241310936] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2023] [Revised: 06/19/2023] [Accepted: 06/27/2023] [Indexed: 07/15/2023] Open
Abstract
The frequency range of terahertz waves (THz waves) is between 0.1 and 10 THz and they have properties such as low energy, penetration, transients, and spectral fingerprints, which are especially sensitive to water. Terahertz, as a frontier technology, have great potential in interpreting the structure of water molecules and detecting biological water conditions, and the use of terahertz technology for water detection is currently frontier research, which is of great significance. Firstly, this paper introduces the theory of terahertz technology and summarizes the current terahertz systems used for water detection. Secondly, an overview of theoretical approaches, such as the relaxation model and effective medium theory related to water detection, the relationship between water molecular networks and terahertz spectra, and the research progress of the terahertz detection of water content and water distribution visualization, are elaborated. Finally, the challenge and outlook of applications related to the terahertz wave detection of water are discussed. The purpose of this paper is to explore the research domains on water and its related applications using terahertz technology, as well as provide a reference for innovative applications of terahertz technology in moisture detection.
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Affiliation(s)
- Hongyi Ge
- Key Laboratory of Grain Information Processing & Control, Ministry of Education, Henan University of Technology, Zhengzhou 450001, China
- Henan Provincial Key Laboratory of Grain Photoelectric Detection and Control, Zhengzhou 450001, China
- College of Information Science and Engineering, Henan University of Technology, Zhengzhou 450001, China
| | - Zhenyu Sun
- Key Laboratory of Grain Information Processing & Control, Ministry of Education, Henan University of Technology, Zhengzhou 450001, China
- Henan Provincial Key Laboratory of Grain Photoelectric Detection and Control, Zhengzhou 450001, China
- College of Information Science and Engineering, Henan University of Technology, Zhengzhou 450001, China
| | - Yuying Jiang
- Key Laboratory of Grain Information Processing & Control, Ministry of Education, Henan University of Technology, Zhengzhou 450001, China
- Henan Provincial Key Laboratory of Grain Photoelectric Detection and Control, Zhengzhou 450001, China
- School of Artificial Intelligence and Big Data, Henan University of Technology, Zhengzhou 450001, China
| | - Xuyang Wu
- Key Laboratory of Grain Information Processing & Control, Ministry of Education, Henan University of Technology, Zhengzhou 450001, China
- Henan Provincial Key Laboratory of Grain Photoelectric Detection and Control, Zhengzhou 450001, China
- College of Information Science and Engineering, Henan University of Technology, Zhengzhou 450001, China
| | - Zhiyuan Jia
- Key Laboratory of Grain Information Processing & Control, Ministry of Education, Henan University of Technology, Zhengzhou 450001, China
- Henan Provincial Key Laboratory of Grain Photoelectric Detection and Control, Zhengzhou 450001, China
- College of Information Science and Engineering, Henan University of Technology, Zhengzhou 450001, China
| | - Guangyuan Cui
- Key Laboratory of Grain Information Processing & Control, Ministry of Education, Henan University of Technology, Zhengzhou 450001, China
- Henan Provincial Key Laboratory of Grain Photoelectric Detection and Control, Zhengzhou 450001, China
- College of Information Science and Engineering, Henan University of Technology, Zhengzhou 450001, China
| | - Yuan Zhang
- Key Laboratory of Grain Information Processing & Control, Ministry of Education, Henan University of Technology, Zhengzhou 450001, China
- Henan Provincial Key Laboratory of Grain Photoelectric Detection and Control, Zhengzhou 450001, China
- College of Information Science and Engineering, Henan University of Technology, Zhengzhou 450001, China
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Sun X, Xu C, Li J, Xie D, Gong Z, Fu W, Wang X. Nondestructive detection of insect foreign bodies in finished tea products using
THz‐TDS
combination of baseline correction and variable selection algorithms. J FOOD PROCESS ENG 2022. [DOI: 10.1111/jfpe.14224] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Affiliation(s)
- Xudong Sun
- School of Mechatronics and Vehicle Engineering East China Jiaotong University Nanchang China
- Key Laboratory of Conveyance Equipment of Ministry of Education East China Jiaotong University Nanchang China
| | - Chao Xu
- School of Mechatronics and Vehicle Engineering East China Jiaotong University Nanchang China
| | - Jiajun Li
- School of Mechatronics and Vehicle Engineering East China Jiaotong University Nanchang China
| | - Dongfu Xie
- School of Mechatronics and Vehicle Engineering East China Jiaotong University Nanchang China
| | - Zhiyuan Gong
- School of Mechatronics and Vehicle Engineering East China Jiaotong University Nanchang China
| | - Wei Fu
- School of Mechatronics and Vehicle Engineering East China Jiaotong University Nanchang China
| | - Xinpeng Wang
- School of Mechatronics and Vehicle Engineering East China Jiaotong University Nanchang China
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Chen K, Wu W, Lan Y, Liu Z, Han F, Xu Y. Assessment and Prediction of Free Fatty Acids Changes in Maize Based on Effective Accumulated Temperature in Large Granaries. INTERNATIONAL JOURNAL OF FOOD PROPERTIES 2022. [DOI: 10.1080/10942912.2022.2074031] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Affiliation(s)
- Kai Chen
- School of Biological and Agricultural Engineering, Jilin University, Changchun, China
| | - Wenfu Wu
- School of Biological and Agricultural Engineering, Jilin University, Changchun, China
- School of Grain Science and Technology, Jilin Business and Technology College, Changchun, China
| | - Yankun Lan
- Warehousing Department, China Grain Reserves Group LTD. Company Jilin Branch, Changchun, China
| | - Zhe Liu
- School of Biological and Agricultural Engineering, Jilin University, Changchun, China
| | - Feng Han
- School of Biological and Agricultural Engineering, Jilin University, Changchun, China
| | - Yan Xu
- School of Biological and Agricultural Engineering, Jilin University, Changchun, China
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