Literature DB >> 33464530

Research advances and applications of biosensing technology for the diagnosis of pathogens in sustainable agriculture.

Qurban Ali1, Sunny Ahmar2, Muhammad Aamir Sohail2, Muhammad Kamran3, Mohsin Ali2, Muhammad Hamzah Saleem2, Muhammad Rizwan4, Agha Mushtaque Ahmed5, Freddy Mora-Poblete6, Antônio Teixeira do Amaral Júnior7, Mustansar Mubeen2, Shafaqat Ali8,9.   

Abstract

Plant diseases significantly impact the global economy, and plant pathogenic microorganisms such as nematodes, viruses, bacteria, fungi, and viroids may be the etiology for most infectious diseases. In agriculture, the development of disease-free plants is an important strategy for the determination of the survival and productivity of plants in the field. This article reviews biosensor methods of disease detection that have been used effectively in other fields, and these methods could possibly transform the production methods of the agricultural industry. The precise identification of plant pathogens assists in the assessment of effective management steps for minimization of production loss. The new plant pathogen detection methods include evaluation of signs of disease, detection of cultured organisms, or direct examination of contaminated tissues through molecular and serological techniques. Laboratory-based approaches are costly and time-consuming and require specialized skills. The conclusions of this review also indicate that there is an urgent need for the establishment of a reliable, fast, accurate, responsive, and cost-effective testing method for the detection of field plants at early stages of growth. We also summarized new emerging biosensor technologies, including isothermal amplification, detection of nanomaterials, paper-based techniques, robotics, and lab-on-a-chip analytical devices. However, these constitute novelty in the research and development of approaches for the early diagnosis of pathogens in sustainable agriculture.

Entities:  

Keywords:  Detection; Microorganisms; Nanomaterials; Sensitivity; Serological techniques

Year:  2021        PMID: 33464530     DOI: 10.1007/s11356-021-12419-6

Source DB:  PubMed          Journal:  Environ Sci Pollut Res Int        ISSN: 0944-1344            Impact factor:   4.223


  6 in total

1.  Artificial intelligence solutions enabling sustainable agriculture: A bibliometric analysis.

Authors:  Priya Rani Bhagat; Farheen Naz; Robert Magda
Journal:  PLoS One       Date:  2022-06-09       Impact factor: 3.752

Review 2.  Genome Engineering Technology for Durable Disease Resistance: Recent Progress and Future Outlooks for Sustainable Agriculture.

Authors:  Qurban Ali; Chenjie Yu; Amjad Hussain; Mohsin Ali; Sunny Ahmar; Muhammad Aamir Sohail; Muhammad Riaz; Muhammad Furqan Ashraf; Dyaaaldin Abdalmegeed; Xiukang Wang; Muhammad Imran; Hakim Manghwar; Lei Zhou
Journal:  Front Plant Sci       Date:  2022-03-17       Impact factor: 5.753

Review 3.  Research progress on detection techniques for point-of-care testing of foodborne pathogens.

Authors:  Sha Liu; Kaixuan Zhao; Meiyuan Huang; Meimei Zeng; Yan Deng; Song Li; Hui Chen; Wen Li; Zhu Chen
Journal:  Front Bioeng Biotechnol       Date:  2022-08-08

4.  Toxicity of Bacillus thuringiensis Strains Derived from the Novel Crystal Protein Cry31Aa with High Nematicidal Activity against Rice Parasitic Nematode Aphelenchoides besseyi.

Authors:  Zhao Liang; Qurban Ali; Yujie Wang; Guangyuan Mu; Xuefei Kan; Yajun Ren; Hakim Manghwar; Qin Gu; Huijun Wu; Xuewen Gao
Journal:  Int J Mol Sci       Date:  2022-07-25       Impact factor: 6.208

5.  Revealing plant growth-promoting mechanisms of Bacillus strains in elevating rice growth and its interaction with salt stress.

Authors:  Qurban Ali; Muhammad Ayaz; Guangyuan Mu; Amjad Hussain; Qiu Yuanyuan; Chenjie Yu; Yujiao Xu; Hakim Manghwar; Qin Gu; Huijun Wu; Xuewen Gao
Journal:  Front Plant Sci       Date:  2022-09-02       Impact factor: 6.627

Review 6.  Enhancement of nitrogen use efficiency through agronomic and molecular based approaches in cotton.

Authors:  Muhammad Sohaib Chattha; Qurban Ali; Muhammad Haroon; Muhammad Junaid Afzal; Talha Javed; Sadam Hussain; Tahir Mahmood; Manoj K Solanki; Aisha Umar; Waseem Abbas; Shanza Nasar; Lauren M Schwartz-Lazaro; Lei Zhou
Journal:  Front Plant Sci       Date:  2022-09-27       Impact factor: 6.627

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.