Simon Cedric J, Rodemann Thomas, Carter Chris G
Fisheries and Aquaculture Centre, Institute for Marine and Antarctic Studies, University of Tasmania, Nubeena Crescent, Taroona, TAS 7053, Australia.
Central Science Laboratory, University of Tasmania, Hobart, 7001, Australia.
PLoS One. 2016 Jul 21;11(7):e0159671. doi: 10.1371/journal.pone.0159671. eCollection 2016.
Rapid non-invasive monitoring of spiny lobster nutritional condition has considerable application in the established fishery, live market and prospective aquaculture. The aim of this research was to test the feasibility of near-infrared spectroscopy (NIRS) as a novel non-invasive tool to assess the nutritional condition of three lobster species. Lobster (n = 92) abdominal muscle dry matter (AMDM) and carbon content (AMC) correlated significantly with indices of nutritional condition including hepatopancreas dry matter (HPDM; rho = 0.83, 0.78), total lipid content (HPTL; rho = 0.85, 0.87) and haemolymph total protein (TP; rho = 0.89, 0.87 respectively). Abdominal muscle nitrogen content (AMN) was a poor correlate of nutritional condition. Models based on FT-NIR scanning of whole lobster tails successfully predicted AMDM, AMN and AMC (RMSECV = 1.41%, 0.35% and 0.91%; R2 = 0.75, 0.65, 0.77, respectively), and to a lower accuracy HPDM, HPTL and TP (RMSECV = 6.22%, 8.37%, 18.4 g l-1; R2 = 0.51, 0.70, 0.83, respectively). NIRS was applied successfully to assess the condition of spiny lobsters non-invasively. This pilot study paves the way for the development of crustacean condition models using portable non-invasive devices in the laboratory or in the field.
对多刺龙虾营养状况进行快速非侵入性监测在既定渔业、活虾市场和未来水产养殖中具有相当大的应用价值。本研究的目的是测试近红外光谱（NIRS）作为一种新型非侵入性工具来评估三种龙虾营养状况的可行性。龙虾（n = 92）腹部肌肉干物质（AMDM）和碳含量（AMC）与营养状况指标显著相关，包括肝胰腺干物质（HPDM；rho = 0.83，0.78）、总脂质含量（HPTL；rho = 0.85，0.87）和血淋巴总蛋白（TP；分别为rho = 0.89，0.87）。腹部肌肉氮含量（AMN）与营养状况的相关性较差。基于对整个龙虾尾部进行傅里叶变换近红外扫描的模型成功预测了AMDM、AMN和AMC（RMSECV = 1.41%，0.35%和0.91%；R2分别为0.75，0.65，0.77），对HPDM、HPTL和TP的预测精度较低（RMSECV = 6.22%，8.37%，18.4 g l-1；R2分别为0.51，0.70，0.83）。NIRS已成功应用于非侵入性评估多刺龙虾的状况。这项初步研究为在实验室或野外使用便携式非侵入性设备开发甲壳类动物状况模型铺平了道路。
