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绿色分光光度法测定选定水果和蔬菜中的有机磷

Green Spectrophotometric Determination of Organophosphate in Selected Fruits and Vegetables.

作者信息

Sharma Hemraj, Sapkota Hari Prasad, Paudel Kanchan, Raila Anusha, Kandel Sujata, Chaudhary Pramod, Bhattarai Kritika

机构信息

Department of Pharmacy, Shree Medical and Technical College, Bharatpur, Chitwan, Nepal.

Department of Pharmacy, Rapti Technical School, Rapti, Dang, Nepal.

出版信息

Int J Anal Chem. 2023 Jun 8;2023:6691659. doi: 10.1155/2023/6691659. eCollection 2023.

Abstract

A simple, sensitive, precise, and environmentally safe spectrophotometry method was developed and validated for the determination of organophosphate in various fruits and vegetables using a UV-Visible spectrophotometer using a magnesia mixture. The volume of reagent used for analysis and the stability of the color complex were also optimized. The drug showed a stable white color complex at 420 nm. The greenness of the methods was estimated using an ecoscale (84), the Green Analytical Procedure Index, and AGREE (0.89), which were found to be excellent green method based on spectrophotometric determination. The method was validated using ICH guidelines and has acceptable values for linearity (0.5-2.5 mg/ml), accuracy (98.5-102.5%), precision, robustness, limit of detection (0.16 mg), and limit of quantification (0.486 mg). The concentration of the organophosphate in the analyzed sample was in the range of 0.003 to 2.45 mg. Altogether, the proposed green analytical method was found to be a simple, selective, sensitive, accurate, and ecofriendly method for the analysis of organophosphate in various fruits and vegetables.

摘要

开发并验证了一种简单、灵敏、精确且环境安全的分光光度法,用于使用紫外可见分光光度计和氧化镁混合物测定各种水果和蔬菜中的有机磷。还优化了用于分析的试剂体积和显色络合物的稳定性。该药物在420nm处呈现稳定的白色显色络合物。使用生态标度(84)、绿色分析程序指数和AGREE(0.89)评估了该方法的绿色度,发现基于分光光度法测定,这些方法是优秀的绿色方法。该方法按照国际人用药品注册技术协调会(ICH)指南进行了验证,在线性(0.5 - 2.5mg/ml)、准确度(98.5 - 102.5%)、精密度、稳健性、检测限(0.16mg)和定量限(0.486mg)方面具有可接受的值。分析样品中有机磷的浓度范围为0.003至2.45mg。总之,所提出的绿色分析方法是一种用于分析各种水果和蔬菜中有机磷的简单、选择性、灵敏、准确且生态友好的方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3372/10270760/2dc3c5871541/IJAC2023-6691659.001.jpg

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