Development of Unique Signature to Define the Extent of Adulteration in Virgin Coconut Oil (VCO) by Localized Surface Plasmon Resonance (LSPR) System

IF 2.6 3区农林科学 Q2 FOOD SCIENCE & TECHNOLOGY

Food Analytical Methods Pub Date : 2024-05-21 DOI:10.1007/s12161-024-02632-7

Ishita Auddy, B. O. Madhu, Shanmugasundaram Saravanan, Ashish Rawson, Chinnaswami Anandharamakrishnan

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Abstract

Adulteration of expensive vegetable oils with other cheaper vegetable oils is increasing within the oil traders all across the world. Therefore, developing a method for detection of adulteration in expensive vegetable oil like VCO would be useful. In this study, an android mobile application which can generate signature and barcodes has been developed based on the response (p < 0.05) coupled with the optimized condition of LSPR system for different adulterations in VCO with coconut oil (CO) and mustard oil (MO). The discriminant analysis with samples showed a gradual shift to right with the adulteration, demonstrating the independency of the prediction. The correct % of validated samples was observed to be 81.67% and 80% for adulterated sample of VCO with MO and CO respectively with a cumulative variance of 100%. The LOD and LOQ were found to be 0.23 and 0.77 and 0.21 and 0.72 for adulterated samples of VCO with CO and MO respectively with a linearity range of 10 to 90%. The results showed that the technique has a faster response and lower cost than other conventional methods like FT-R or GC–MS/MS for the detection of adulteration in VCO. However, further research is needed for the advancement of android mobile application and to make the system compatible to detect adulteration with other cheap oils.

Graphical Abstract

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利用局部表面等离子体共振（LSPR）系统开发确定初榨椰子油（VCO）掺假程度的独特特征

在世界各地的油品贸易商中，用其他廉价植物油掺杂昂贵植物油的现象日益增多。因此，开发一种检测昂贵植物油（如 VCO）掺假的方法将非常有用。在这项研究中，根据椰子油（CO）和芥末油（MO）在 VCO 中的不同掺假反应（p < 0.05）以及 LSPR 系统的优化条件，开发了一种可生成签名和条形码的 Android 移动应用程序。对样品的判别分析显示，随着掺假量的增加，判别结果逐渐向右偏移，这证明了预测的独立性。据观察，掺入 MO 和 CO 的 VCO 样品的验证正确率分别为 81.67% 和 80%，累积方差为 100%。在 10% 至 90% 的线性范围内，发现 VCO 与 CO 和 MO 的掺假样品的 LOD 和 LOQ 分别为 0.23 和 0.77 以及 0.21 和 0.72。结果表明，与 FT-R 或 GC-MS/MS 等其他传统方法相比，该技术在检测 VCO 掺假方面反应更快，成本更低。不过，还需要进一步研究如何改进安卓手机应用程序，并使系统兼容检测其他廉价油的掺假情况。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Food Analytical Methods 农林科学-食品科技

CiteScore

6.00

自引率

3.40%

发文量

244

审稿时长

3.1 months

期刊介绍： Food Analytical Methods publishes original articles, review articles, and notes on novel and/or state-of-the-art analytical methods or issues to be solved, as well as significant improvements or interesting applications to existing methods. These include analytical technology and methodology for food microbial contaminants, food chemistry and toxicology, food quality, food authenticity and food traceability. The journal covers fundamental and specific aspects of the development, optimization, and practical implementation in routine laboratories, and validation of food analytical methods for the monitoring of food safety and quality.