How to identify biofouling species in marine and freshwater.

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS
ACS Applied Bio Materials Pub Date : 2024-02-01 Epub Date: 2024-03-07 DOI:10.1080/08927014.2024.2324008
Heting Hong, Aijuan Deng, Yang Tang, Zhixiong Liu
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引用次数: 0

Abstract

The identification and management of biofouling remain pressing challenges in marine and freshwater ecosystems, with significant implications for environmental sustainability and industrial operations. This comprehensive review synthesizes the current state-of-the-art in biofouling identification technologies, examining eight prominent methodologies: Microscopy Examination, Molecular Biology, Remote Sensing, Community Involvement, Ecological Methods, Artificial Intelligence, Chemical Analysis, and Macro Photography. Each method is evaluated for its respective advantages and disadvantages, considering factors such as precision, scalability, cost, and data quality. Furthermore, the review identifies current obstacles that inhibit the optimal utilization of these technologies, ranging from technical limitations and high operational costs to issues of data inconsistency and subjectivity. Finally, the review posits a future outlook, advocating for the development of integrated, standardized systems that amalgamate the strengths of individual approaches. Such advancement will pave the way for more effective and sustainable strategies for biofouling identification and management.

如何识别海洋和淡水中的生物污损物种。
生物污损的识别和管理仍然是海洋和淡水生态系统面临的紧迫挑战,对环境的可持续发展和工业运营具有重大影响。本综述综合了当前最先进的生物污损识别技术,研究了八种主要方法:显微镜检查、分子生物学、遥感、社区参与、生态学方法、人工智能、化学分析和宏观摄影。考虑到精度、可扩展性、成本和数据质量等因素,对每种方法各自的优缺点进行了评估。此外,综述还指出了当前阻碍这些技术优化利用的障碍,从技术限制和高运营成本到数据不一致和主观性等问题。最后,综述对未来进行了展望,主张开发综合的标准化系统,将各种方法的优势融合在一起。这种进步将为更有效、更可持续的生物污损识别和管理战略铺平道路。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
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