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植物病毒检测中的传统和尖端进展:新兴趋势和技术

Anjana Singh^1,2, Yasheshwar³, Naveen K Kaushik⁴

¹Plant Molecular Virology Lab, Department of Botany, School of Chemical and Life Sciences, Jamia Hamdard, New Delhi, 110062 India.

|March 28, 2025

概括

像CRISPR诊断和AI这样的先进技术正在彻底改变植物病毒检测,提供更快,更准确的识别,以保护全球农业. 未来的努力将集中在便携式套件和加强对可持续农业的监测上.

科学领域:

植物病理学植物病理学
农业科学农业科学
分子诊断学分子诊断学

背景情况:

植物病毒严重威胁全球粮食安全和农业生产力.
传统的病毒识别方法 (视觉,显微镜,血清学,PCR) 在灵敏度和速度上有局限性.
新兴技术为植物病毒检测提供了更高的准确性和效率.

研究的目的:

审查和突出植物病毒检测技术的进步.
讨论现代技术如AI,ML,物联网和纳米技术在诊断中的整合.
确定当前的挑战和该领域的未来研究方向.

主要方法:

对传统和新型植物病毒检测技术的审查.
探索新兴技术:循环介导同热放大 (LAMP),高通量测序 (HTS),基于纳米技术的生物传感器,CRISPR诊断.
整合人工智能 (AI),机器学习 (ML) 和物联网 (IoT) 以实时监控和监控.
讨论诸如高光谱成像和深度学习等创新.

主要成果:

新技术 (LAMP,HTS,纳米技术,CRISPR) 与传统方法相比,提供了更高的灵敏度,速度和特异性.
人工智能,机器学习和物联网的整合使实时监测和改进的疾病监测成为可能.
基于纳米技术的测试和CRISPR-Cas系统提供了快速的,可在现场部署的诊断解决方案.
尽管取得了进展,但多重复合,序列限制和环境影响的挑战仍然存在.

结论:

技术进步改变了植物病毒检测,改善了农业监测和保护.
未来的研究应该优先考虑便携式,现场诊断套件和优化纳米技术应用.
跨学科的合作对于开发可扩展,具有成本效益和可持续的植物病毒检测解决方案至关重要.

关键词:

人工智能的人工智能是人工智能.克里斯普尔是什么意思?克里斯普尔是什么意思?艾丽莎·伊丽莎·伊丽莎机器学习机器学习国家储备系统 (NGS)这是一个PCRPCR.植物病毒植物病毒

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