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Ge H, Ji X, Lu X, Lv M, Jiang Y, Jia Z, Zhang Y. Identification of heavy metal pollutants in wheat by THz spectroscopy and deep support vector machine. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2023; 303:123206. [PMID: 37542868 DOI: 10.1016/j.saa.2023.123206] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/07/2023] [Revised: 06/09/2023] [Accepted: 07/24/2023] [Indexed: 08/07/2023]
Abstract
This paper proposes to detect heavy metal pollutants in wheat using terahertz spectroscopy and deep support vector machine (DSVM). Five heavy metal pollutants, arsenic, lead, mercury, chromium, and cadmium, were considered for detection in wheat samples. THz spectral data were pre-processed by wavelet denoising. DSVM was introduced to further enhance the accuracy of the SVM classification model. According to the relationship between the accuracy and the training time with the number of hidden layers ranging from 1 to 4, the model performs the best when the hidden layer network has three layers. Besides, using the back-propagation algorithm to optimize the entire DSVM network. Compared with Deep neural network (DNN) and SVM models, the comprehensive evaluation index of the proposed model optimized by DSVM has the highest accuracy of 91.3 %. It realized the exploration enhanced the classification accuracy of the heavy metal pollutants in wheat.
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Affiliation(s)
- Hongyi Ge
- Key Laboratory of Grain Information Processing and Control, Ministry of Education, Henan University of Technology, Zhengzhou 450001, Henan, China; Henan Provincial Key Laboratory of Grain Photoelectric Detection and Control, Zhengzhou 450001, Henan, China; College of Information Science and Engineering, Henan University of Technology, Zhengzhou 450001, Henan, China
| | - Xiaodi Ji
- Key Laboratory of Grain Information Processing and Control, Ministry of Education, Henan University of Technology, Zhengzhou 450001, Henan, China; Henan Provincial Key Laboratory of Grain Photoelectric Detection and Control, Zhengzhou 450001, Henan, China; College of Information Science and Engineering, Henan University of Technology, Zhengzhou 450001, Henan, China
| | - Xuejing Lu
- PLA Strategic Support Force Information Engineering University, Zhengzhou 450001, Henan, China
| | - Ming Lv
- Key Laboratory of Grain Information Processing and Control, Ministry of Education, Henan University of Technology, Zhengzhou 450001, Henan, China; Henan Provincial Key Laboratory of Grain Photoelectric Detection and Control, Zhengzhou 450001, Henan, China; College of Information Science and Engineering, Henan University of Technology, Zhengzhou 450001, Henan, China
| | - Yuying Jiang
- Key Laboratory of Grain Information Processing and Control, Ministry of Education, Henan University of Technology, Zhengzhou 450001, Henan, China; Henan Provincial Key Laboratory of Grain Photoelectric Detection and Control, Zhengzhou 450001, Henan, China; School of Artificial Intelligence and Big Data, Henan University of Technology, Zhengzhou 450001, Henan, China.
| | - Zhiyuan Jia
- Key Laboratory of Grain Information Processing and Control, Ministry of Education, Henan University of Technology, Zhengzhou 450001, Henan, China; Henan Provincial Key Laboratory of Grain Photoelectric Detection and Control, Zhengzhou 450001, Henan, China; College of Information Science and Engineering, Henan University of Technology, Zhengzhou 450001, Henan, China
| | - Yuan Zhang
- Key Laboratory of Grain Information Processing and Control, Ministry of Education, Henan University of Technology, Zhengzhou 450001, Henan, China; Henan Provincial Key Laboratory of Grain Photoelectric Detection and Control, Zhengzhou 450001, Henan, China; College of Information Science and Engineering, Henan University of Technology, Zhengzhou 450001, Henan, China
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Gu M, Huang H, Hisano H, Ding G, Huang S, Mitani-Ueno N, Yokosho K, Sato K, Yamaji N, Ma JF. A crucial role for a node-localized transporter, HvSPDT, in loading phosphorus into barley grains. THE NEW PHYTOLOGIST 2022; 234:1249-1261. [PMID: 35218012 DOI: 10.1111/nph.18057] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/26/2022] [Accepted: 02/17/2022] [Indexed: 06/14/2023]
Abstract
Grains are the major sink of phosphorus (P) in cereal crops, accounting for 60-85% of total plant P, but the mechanisms underlying P loading into the grains are poorly understood. We functionally characterized a transporter gene required for the distribution of P to the grains in barley (Hordeum vulgare), HvSPDT (SULTR-like phosphorus distribution transporter). HvSPDT encoded a plasma membrane-localized Pi/H+ cotransporter. It was mainly expressed in the nodes at both the vegetative and reproductive stages. Furthermore, its expression was induced by inorganic phosphate (Pi) deficiency. In the nodes, HvSPDT was expressed in both the xylem and phloem region of enlarged and diffuse vascular bundles. Knockout of HvSPDT decreased the distribution of P to new leaves, but increased the distribution to old leaves at the vegetative growth stage under low P supply. However, knockout of HvSPDT did not alter the redistribution of P from old to young organs. At the reproductive stage, knockout of HvSPDT significantly decreased P allocation to the grains, resulting in a considerable reduction in grain yield, especially under P-limited conditions. Our results indicate that node-based HvSPDT plays a crucial role in loading P into barley grains through preferentially distributing P from the xylem and further to the phloem.
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Affiliation(s)
- Mian Gu
- Institute of Plant Science and Resources, Okayama University, Chuo 2-20-1, Kurashiki, 710-0046, Japan
- State Key Laboratory of Crop Genetics and Germplasm Enhancement, Nanjing Agricultural University, Nanjing, 210095, China
| | - Hengliang Huang
- Institute of Plant Science and Resources, Okayama University, Chuo 2-20-1, Kurashiki, 710-0046, Japan
| | - Hiroshi Hisano
- Institute of Plant Science and Resources, Okayama University, Chuo 2-20-1, Kurashiki, 710-0046, Japan
| | - Guangda Ding
- Institute of Plant Science and Resources, Okayama University, Chuo 2-20-1, Kurashiki, 710-0046, Japan
- College of Resources and Environment, Huazhong Agricultural University, Wuhan, 430070, China
| | - Sheng Huang
- Institute of Plant Science and Resources, Okayama University, Chuo 2-20-1, Kurashiki, 710-0046, Japan
| | - Namiki Mitani-Ueno
- Institute of Plant Science and Resources, Okayama University, Chuo 2-20-1, Kurashiki, 710-0046, Japan
| | - Kengo Yokosho
- Institute of Plant Science and Resources, Okayama University, Chuo 2-20-1, Kurashiki, 710-0046, Japan
| | - Kazuhiro Sato
- Institute of Plant Science and Resources, Okayama University, Chuo 2-20-1, Kurashiki, 710-0046, Japan
| | - Naoki Yamaji
- Institute of Plant Science and Resources, Okayama University, Chuo 2-20-1, Kurashiki, 710-0046, Japan
| | - Jian Feng Ma
- Institute of Plant Science and Resources, Okayama University, Chuo 2-20-1, Kurashiki, 710-0046, Japan
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