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Application of microbial agents in the rapid detector for BOD in the wastewater from ships
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Juan ZHOU1, Jie LI1, *, Xueting YU1, Ebaobamao2, Zhaxiqiuzhong2, Songzhi LI1, Zhijun MING1
Acta Microbiologica Sinica | 2025, 65(2) : 715 - 728
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Acta Microbiologica Sinica | 2025, 65(2): 715-728
Research Article
Application of microbial agents in the rapid detector for BOD in the wastewater from ships
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Juan ZHOU1, Jie LI1, *, Xueting YU1, Ebaobamao2, Zhaxiqiuzhong2, Songzhi LI1, Zhijun MING1
Affiliations
  • 1 School of Environmental and Municipal Engineering, Qingdao University of Technology, Qingdao, Shandong, China
  • 2 Monitoring Station of Ecology and Environment of Yushu Prefecture, Yushu, Qinghai, China
Published: 2025-02-04 doi: 10.13343/j.cnki.wsxb.20240544
Outline
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[Objective] To develop a rapid detector for biochemical oxygen demand (BOD) in the wastewater from ships entering ports in response to the stringent mandates of the International Maritime Organization (IMO). The objective is to facilitate swift detection of domestic wastewater produced by the multitude of vessels arriving at the port. [Methods] When testing the BOD standard solution, Clostridium butyricum and Bacillus subtilis were used to manufacture the biosensitive elements inducing electron transfer during the consumption of dissolved oxygen (DO), which led to a change in electrical conductivity (COND). By treating dissolved oxygen as a pivotal indicator and an intermediary in the monitoring process, this study explored the correlation between changes in electrical conductivity and sample concentration. Through the development of a quadratic polynomial fitting model that correlates electrical conductivity with dissolved oxygen levels, and by establishing a connection between dissolved oxygen and sample concentration, this research delves into the correlation between variations in electrical conductivity and the concentration of the sample. [Results] The changes in electrical conductivity exhibited by different solutions enabled the detector to rapidly distinguish between the wastewater with a BOD concentration higher than 25 mg/L (the slope of the COND variation value is less than -0.01) and that below 25 mg/L (the slope of the COND variation value is greater than -0.01). By establishing a highly correlated fitting curve between dissolved oxygen and electrical conductivity (coefficient of determination R2=0.977 83), this study achieved precise reading of samples within the ultra-low concentration range (BOD<25 mg/L). The accuracy rate of the measurements exceeded 85% in the in-suit tests conducted in Qinhuangdao, Hebei, China. [Conclusion] The measurement data read by the rapid detector for BOD is highly consistent with the results obtained by the dilution inoculation method. Moreover, the detector is capable of performing rapid quantitative analysis of BOD in domestic wastewater from ships entering ports within 30 min, demonstrating high detection efficiency.

rapid detector for biochemical oxygen demand (BOD)  /  BOD monitoring  /  Clostridium butyricum  /  Bacillus subtilis  /  rapid detection
Juan ZHOU, Jie LI, Xueting YU, Ebaobamao, Zhaxiqiuzhong, Songzhi LI, Zhijun MING. Application of microbial agents in the rapid detector for BOD in the wastewater from ships[J]. Acta Microbiologica Sinica, 2025 , 65 (2) : 715 -728 . DOI: 10.13343/j.cnki.wsxb.20240544
  • Qinghai Province Key Research and Development and Transformation Project(2024-SF-143)
  • Environmental Standards Formulation and Revision Project of Shandong Province Ecological Environment Bureau(37000000040200120220031)
Year 2025 volume 65 Issue 2
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Article Info
doi: 10.13343/j.cnki.wsxb.20240544
  • Receive Date:2024-09-02
  • Online Date:2026-02-05
  • Published:2025-02-04
Article Data
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History
  • Received:2024-09-02
  • Accepted:2024-11-13
Funding
Qinghai Province Key Research and Development and Transformation Project(2024-SF-143)
Environmental Standards Formulation and Revision Project of Shandong Province Ecological Environment Bureau(37000000040200120220031)
Affiliations
    1 School of Environmental and Municipal Engineering, Qingdao University of Technology, Qingdao, Shandong, China
    2 Monitoring Station of Ecology and Environment of Yushu Prefecture, Yushu, Qinghai, China

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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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