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Collaborative Research: Can Raman Spectroscopy be Used as a High-accuracy Method to Identify Bivalve Larvae?

合作研究：拉曼光谱可以作为识别双壳类幼虫的高精度方法吗？

基本信息

批准号：
1240229
负责人：
Scott Gallager
金额：
$ 3.05万
依托单位：
Woods Hole Oceanographic Institution
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2012
资助国家：
美国
起止时间：
2012-07-01 至 2014-06-30
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1240229&HistoricalAwards=false
关键词：
Collaborative Research Raman Spectroscopy Used

项目摘要

Bivalve larvae are notoriously difficult and time-consuming to identify to species level, and a method for rapid and accurate identification would enable an entire class of new ecological field studies of bivalve recruitment processes. Raman spectroscopy uses a focused laser beam to measure the calcium carbonate and organic pigment molecules in bivalve shells and potentially allows identification of species based on the composition of the valves. Using single wavelength Raman spectroscopy, the PIs were able to distinguish Eastern oyster larvae from six other bivalve species with 100% accuracy, while three other species had identification accuracies greater than 80%. The PIs propose to purchase a 3-wavelength confocal Raman Microscope to improve discrimination and test the efficacy of Raman spectroscopy for widespread application in bivalve larval identification. They will collect and analyze Raman spectra on larvae of 20 bivalve species to determine if reliable species-specific differences exist, and will explore methods to improve analysis of spectral results. The investigators plan to create an open database of spectral data from their studies, will offer a workshop on their methods, and will make the equipment available to the community under specified conditions for use.

双壳类昆虫幼虫的物种鉴定是非常困难和耗时的，一种快速准确的鉴定方法将为双壳类昆虫的补充过程提供一种全新的生态野外研究。拉曼光谱使用聚焦激光束来测量双壳类贝壳中的碳酸钙和有机色素分子，并有可能根据贝壳的组成来识别物种。利用单波长拉曼光谱，pi能够以100%的准确率将东牡蛎幼虫与其他6种双壳类动物区分出来，另外3种的识别准确率大于80%。pi建议购买一台3波长共聚焦拉曼显微镜，以提高识别能力，并测试拉曼光谱在双壳类幼虫鉴定中的广泛应用效果。他们将收集和分析20种双壳类昆虫幼虫的拉曼光谱，以确定是否存在可靠的物种特异性差异，并探索改进光谱分析结果的方法。研究人员计划为他们的研究创建一个开放的光谱数据数据库，将提供一个关于他们的方法的研讨会，并将在特定条件下向社区提供这些设备。