Towards More Effective Ship Ballast Water Monitoring: Evaluating and Improving Compliance Monitoring Devices (CMDs)

For accurate and reliable monitoring, compliance monitoring devices (CMDs) in Port State Control must meet strict and uniform quality standards. This study evaluates how effectively CMDs, using variable fluorescence (VF) and fluorescein diacetate (FDA) technologies, detect live organisms in the 10–50 μm size range. Employing a detailed analytical framework, we analyzed key performance indicators, including accuracy, precision, sensitivity, specificity, trueness, detection limits, and reliability by comparing CMD outputs to those of traditional microscopic methods. Reliability assessments revealed that VF-type CMD and FDA-type CMD performed robustly, with a stability rate of 99% for both, surpassing the 90% verification threshold. Precision analysis indicated an average CV exceeding 0.25; however, some samples, especially those below the D-2 standard, achieved a CV of less than 0.25. Concordance evaluations revealed that VF-CMDs and FDA-CMDs achieved rates of 63% and 55%, respectively, falling short of the 80% verification standard and underscoring the need for further calibration or optimization. Structural equation modeling shows that organism density significantly influences CMD performance. These findings underscore the challenges of accurately detecting low organism concentrations, further complicated by biological diversity and environmental variability. Despite their limitations in assessing ballast water compliance, CMDs are effective initial screening tools.

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Publication Details

Journal
Water
Published
2025-09-29
DOI
https://doi.org/10.3390/w17192845
Primary Topic
Marine Ecology and Invasive Species
Type
article
Field-Weighted Citation Impact
0.00

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article

Towards More Effective Ship Ballast Water Monitoring: Evaluating and Improving Compliance Monitoring Devices (CMDs)

Xiang Yu, Qiong Wang, Tao Zhang, Huixian Wu et al.
Water
Marine Ecology and Invasive Species
article

Towards More Effective Ship Ballast Water Monitoring: Evaluating and Improving Compliance Monitoring Devices (CMDs)

Xiang Yu, Qiong Wang, Tao Zhang, Huixian Wu, Jiansen Du
article en

Abstract

For accurate and reliable monitoring, compliance monitoring devices (CMDs) in Port State Control must meet strict and uniform quality standards. This study evaluates how effectively CMDs, using variable fluorescence (VF) and fluorescein diacetate (FDA) technologies, detect live organisms in the 10–50 μm size range. Employing a detailed analytical framework, we analyzed key performance indicators, including accuracy, precision, sensitivity, specificity, trueness, detection limits, and reliability by comparing CMD outputs to those of traditional microscopic methods. Reliability assessments revealed that VF-type CMD and FDA-type CMD performed robustly, with a stability rate of 99% for both, surpassing the 90% verification threshold. Precision analysis indicated an average CV exceeding 0.25; however, some samples, especially those below the D-2 standard, achieved a CV of less than 0.25. Concordance evaluations revealed that VF-CMDs and FDA-CMDs achieved rates of 63% and 55%, respectively, falling short of the 80% verification standard and underscoring the need for further calibration or optimization. Structural equation modeling shows that organism density significantly influences CMD performance. These findings underscore the challenges of accurately detecting low organism concentrations, further complicated by biological diversity and environmental variability. Despite their limitations in assessing ballast water compliance, CMDs are effective initial screening tools.

WaterVol. 17(19)
Shenzhen International Travel Health Care Center (CN), Shanghai Ocean University (CN)
National Key Research and Development Program of China
Openalex Percentile: Top 75%
Marine Ecology and Invasive Species
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Towards More Effective Ship Ballast Water Monitoring: Evaluating and Improving Compliance Monitoring Devices (CMDs) — Xiang Yu, Qiong Wang, et al. · Water (2025) | TGRS Research Map | TGRS