1
|
Li B, Zhang R, Du F. Electrochemical sensor monitoring of the fermentation process of sour bamboo shoots. INT J ELECTROCHEM SC 2023. [DOI: 10.1016/j.ijoes.2023.100124] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/28/2023]
|
2
|
Highly sensitive detection of tetracycline by electrochemical molecular imprinting. JOURNAL OF FOOD MEASUREMENT AND CHARACTERIZATION 2023. [DOI: 10.1007/s11694-023-01809-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/20/2023]
|
3
|
Wang Q, Ye W, Li D, Zhu J, Liu C, Lin C, Fu L, Xu Z. Analysis of Electrochemically Active Substances in Malvaceae Leaves via Electroanalytical Sensing Technology for Species Identification. MICROMACHINES 2023; 14:248. [PMID: 36837948 PMCID: PMC9963770 DOI: 10.3390/mi14020248] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/20/2022] [Revised: 01/13/2023] [Accepted: 01/17/2023] [Indexed: 06/18/2023]
Abstract
Electrochemical analysis has become a new method for plant analysis in recent years. It can not only collect signals of electrochemically active substances in plant tissues, but can also be used to identify plant species. At the same time, the signals of electrochemically active substances in plant tissues can also be used to investigate plant phylogeny. In this work, we collected electrochemical finger patterns in Malvaceae leaves based on the established methodological strategy. After the second derivative treatment, the collected electrochemical fingerprints can show more obvious differences. Three different recognition models were used to attempt electrochemical fingerprinting. The results show that linear support vector classification can be used to identify species with high accuracy by combining the electrochemical fingerprint signals collected in the phosphoric acid buffer solution and acetic acid buffer solution. In addition, the fingerprint information collected by the electrochemical sensor is further used for phylogenetic investigation. The 18 species were divided into three clusters. Species of the same genus have been clustered together. Dendrogram obtained by electrochemical fingerprinting was used to compare previously reported results deduced from morphological and complete chloroplast genomes.
Collapse
Affiliation(s)
- Qiong Wang
- Institute of Botany, Jiangsu Province and Chinese Academy of Sciences, Nanjing 210014, China
- Jiangsu Key Laboratory for the Research and Utilization of Plant Resources, Nanjing 210014, China
| | - Weiting Ye
- College of Materials and Environmental Engineering, Hangzhou Dianzi University, Hangzhou 310018, China
| | - Dongling Li
- Institute of Botany, Jiangsu Province and Chinese Academy of Sciences, Nanjing 210014, China
- Jiangsu Key Laboratory for the Research and Utilization of Plant Resources, Nanjing 210014, China
| | - Jiangwei Zhu
- Co-Innovation Center for Sustainable Forestry in Southern China, Nanjing Forestry University, Nanjing 210037, China
| | - Chenghang Liu
- Institute of Botany, Jiangsu Province and Chinese Academy of Sciences, Nanjing 210014, China
- Jiangsu Key Laboratory for the Research and Utilization of Plant Resources, Nanjing 210014, China
| | - Chengte Lin
- Key Laboratory of Marine Materials and Related Technologies, Zhejiang Key Laboratory of Marine Materials and Protective Technologies, Ningbo Institute of Materials Technology and Engineering (NIMTE), Chinese Academy of Sciences, Ningbo 315201, China
| | - Li Fu
- College of Materials and Environmental Engineering, Hangzhou Dianzi University, Hangzhou 310018, China
| | - Zenglai Xu
- Institute of Botany, Jiangsu Province and Chinese Academy of Sciences, Nanjing 210014, China
- Jiangsu Key Laboratory for the Research and Utilization of Plant Resources, Nanjing 210014, China
| |
Collapse
|
4
|
Zhang P, Li X, Zheng Y, Fu L. Changes in and Recognition of Electrochemical Fingerprints of Acer spp. in Different Seasons. BIOSENSORS 2022; 12:1114. [PMID: 36551081 PMCID: PMC9775163 DOI: 10.3390/bios12121114] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/09/2022] [Revised: 11/25/2022] [Accepted: 11/29/2022] [Indexed: 06/17/2023]
Abstract
Electroanalytical chemistry is a metrological analysis technique that provides information feedback by measuring the voltammetric signal that changes when a molecule is involved in an electrochemical reaction. There is variability in the type and content of electrochemically active substances among different plants, and the signal differences presented by such differences in electrochemical reactions can be used for plant identification and physiological monitoring. This work used electroanalytical chemistry to monitor the growth of three Acer spp. This work explores the feasibility of the electrochemical analysis technique for the physiological monitoring of highly differentiated plants within the genus and further validates the technique. Changes in the electrochemical fingerprints of A. cinnamomifolium, A. sinopurpurascens and A. palmatum 'Matsumurae' were recorded during the one-year developmental cycle. The results show that the differences in the electrochemical fingerprint profiles of Acer spp. can be used to distinguish different species and identify the growth status in each season. This work also concludes with an identification flowchart based on electrochemical fingerprinting.
Collapse
Affiliation(s)
- Pengchong Zhang
- Hangzhou Botanical Garden (Hangzhou West Lake Research Institute of Garden Science), Hangzhou 310013, China
| | - Xiaolong Li
- College of Materials and Environmental Engineering, Hangzhou Dianzi University, Hangzhou 310018, China
| | - Yuhong Zheng
- Institute of Botany, Jiangsu Province and Chinese Academy of Sciences (Nanjing Botanical Garden, Mem. Sun Yat-Sen), Nanjing 210014, China
| | - Li Fu
- College of Materials and Environmental Engineering, Hangzhou Dianzi University, Hangzhou 310018, China
| |
Collapse
|
5
|
Zheng Y, Mao S, Zhu J, Fu L, Moghadam M. A scientometric study on application of electrochemical sensors for detection of pesticide using graphene-based electrode modifiers. CHEMOSPHERE 2022; 307:136069. [PMID: 35985381 DOI: 10.1016/j.chemosphere.2022.136069] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/29/2022] [Revised: 07/29/2022] [Accepted: 08/10/2022] [Indexed: 06/15/2023]
Abstract
Pesticide testing is an important topic in environmental protection and food safety. The development of green, accurate and reliable pesticide residue detection methods is an important technical support for implementing of agricultural quality supervision. Electrochemical sensors are a very promising analytical method for pesticide detection due to their high sensitivity, speed, low cost and portability. Performance enhancement of electrochemical sensors is often accompanied by research advances in materials science. Among them, carbon material is a very important electrode material for the fabrication of electrochemical sensors. The discovery of graphene makes it the most promising candidate among carbon materials for sensor performance enhancement. The topic of this review is the use of graphene-modified electrochemical sensors for pesticide detection in the last decade. Traditional literature summaries and bibliometric analyses were used for an in-depth analysis of this topic. In addition to the introduction of different sensor types and performance comparisons, this review also parses the authors' country, keywords and publication frequency. The related research experienced rapid growth several years ago and has now reached a relatively stable stage. We also discuss the perspectives on this topic.
Collapse
Affiliation(s)
- Yuhong Zheng
- Institute of Botany, Jiangsu Province and Chinese Academy of Sciences (Nanjing Botanical Garden, Memorial Sun Yat-Sen), Nanjing, 210014, China
| | - Shuduan Mao
- Interdisciplinary Research Academy, Zhejiang Shuren University, Hangzhou, 310021, PR China.
| | - Jiangwei Zhu
- Co-Innovation Center for Sustainable Forestry in Southern China, Nanjing Forestry University, Nanjing, 210037, China
| | - Li Fu
- Key Laboratory of Novel Materials for Sensor of Zhejiang Province, College of Materials and Environmental Engineering, Hangzhou Dianzi University, Hangzhou, 310018, China.
| | - Majid Moghadam
- Department of Chemistry, University of Isfahan, Isfahan, 81746-73441, Iran
| |
Collapse
|
6
|
Can Electrochemical Sensors Be Used for Identification and Phylogenetic Studies in Lamiaceae? SENSORS 2021; 21:s21248216. [PMID: 34960306 PMCID: PMC8706286 DOI: 10.3390/s21248216] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/05/2021] [Revised: 12/03/2021] [Accepted: 12/06/2021] [Indexed: 11/26/2022]
Abstract
Electrochemical sensors have shown potential in recent years for plant species identification and phylogenetic studies. These works have been used to investigate the affinities of different species in many genera. However, the ability of electrochemical sensors to study relationships between different genera within a family has not been investigated. In this work, we selected 31 species in the Labiatae and 5 exotaxa as subjects to investigate the feasibility of electrochemical sensors at the genus level. The results show that electrochemical sensors are still very effective for the identification of these plants. Different pattern recognition techniques can make the identification more efficient. Also, the fingerprint profiles collected by the sensors can be used for phylogenetic studies of Labiatae. The phylogram divides all the species into five clusters, where the exotaxa are in one cluster. Species in the Labiatae are mainly distributed in four other clusters. Importantly, the different genera of species all showed close affinities, representing that electrochemical fingerprinting can well distinguish the affinities between the different genera. The results of this work demonstrate the great potential of electrochemical sensors in the study of plant phylogeny. Its application is not limited to the study at the species level, but can be extended to the genus level.
Collapse
|