Method Development/Validation Multi-laboratory validation of method for Arsenic speciation in seafood using LC-ICP-MS (Discipline D: Special Projects Analytical Track 3)

方法开发/验证 使用 LC-ICP-MS 对海鲜中砷形态的方法进行多实验室验证（学科 D：特殊项目分析轨道 3）

• 批准号: 10173141
• 负责人: Patrick J. Parsons
• 金额: $ 3.29万
• 依托单位: WADSWORTH CENTER
• 依托单位国家: 美国
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-09-01 至 2025-06-30
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10173141
• 关键词: Method; Development; Validation; Multi; laboratory

PROJECT SUMMARY The overall goal of this special project is to conduct a preliminary, exploratory investigation of the feasibility of developing a new method for arsenic (As) speciation in seafood based on a simple extraction procedure with separation and detection using LC-ICP-MS. The proposed project will leverage the current expertise and capabilities at the Wadsworth Center, where a simple LC-ICP-MS method has already been developed, and which could be validated for use across the FERN network by multiple laboratories. Specific objectives will include exploring the feasibility of combining As(III) and As(V) by oxidizing the former to the latter, to produce a single inorganic As species (iAs). Other objectives will include deciding how many different As species should be captured in the proposed method, while recognizing calibration standards exist only for limited number of As species. A key objective will be to produce a suitable candidate reference material based on a seafood product matrix that can be homogenized, and distributed to multiple laboratories for the first interlaboratory study. Other objectives will include a single laboratory validation of the proposed method, and the design of the first interlaboratory round robin to gather baseline data on network capabilities

项目概要 本专项的总体目标是对项目的可行性进行初步、探索性的调查。 基于简单的提取程序，开发了一种测定海鲜中砷 (As) 形态的新方法 使用 LC-ICP-MS 进行分离和检测。拟议的项目将利用当前的专业知识和 沃兹沃斯中心的能力，该中心已经开发了一种简单的 LC-ICP-MS 方法，并且 多个实验室可以验证其在 FERN 网络中的使用。具体目标将 包括探索通过将前者氧化为后者来结合 As(III) 和 As(V) 的可行性，以产生 单一无机砷物种 (iAs)。其他目标包括决定应有多少不同的 As 物种 被捕获在所提出的方法中，同时认识到校准标准仅存在于有限数量的 As 物种。一个关键目标是根据海鲜生产合适的候选参考材料 可以均质化的产品矩阵，并分发到多个实验室进行第一个实验室间的合作 学习。其他目标将包括对所提出的方法进行单一实验室验证，以及设计 首次实验室间循环收集网络功能基线数据