Xue Cheng, Chen Shuguo, Zhang Tinglu
Opt Express. 2020 Aug 17;28(17):25618-25632. doi: 10.1364/OE.400257.
Red Noctiluca scintillans (RNS) red tides frequently occur in coastal waters in China, leading to great ecological and economic losses. The prewarning of red tides via the monitoring of RNS abundance in the field is of great importance. Bioluminescence sensors are convenient to deploy on multiple underwater platforms, and bioluminescence is related to the abundance and species of dinoflagellates. As an optical proxy, the maximum bioluminescence potential (MBP) could respond in a timely manner to changes in RNS abundance and be utilized to estimate it. A novel method with high correlation (R=0.82) is proposed to estimate the RNS abundance from the MBP in this study. The maximum RNS abundance range of the method is 380 cell L. Furthermore, the bioluminescence flash kinetics of dinoflagellate individuals are analyzed to demonstrate the applicability of the method in the Yellow Sea and Bohai Sea.
红色中缢虫赤潮在中国近岸海域频繁发生，造成了巨大的生态和经济损失。通过现场监测红色中缢虫丰度来进行赤潮预警至关重要。生物发光传感器便于部署在多个水下平台上，且生物发光与甲藻的丰度和种类有关。作为一种光学替代指标，最大生物发光潜力（MBP）能够及时响应红色中缢虫丰度的变化并用于估算其丰度。本研究提出了一种新方法，该方法从MBP估算红色中缢虫丰度具有高相关性（R = 0.82）。该方法的最大红色中缢虫丰度范围为380个细胞/升。此外，还分析了甲藻个体的生物发光闪光动力学，以证明该方法在黄海和渤海的适用性。
