Multicomponent prediction of Sudan dye adulteration in crude palm oil using SERS - Based bimetallic nanoflower combined with genetic algorithm

被引：13

作者：

Adade, Selorm Yao-Say Solomon ^{[1
,2
,3
]}

Lin, Hao ^{[2
]}

Haruna, Suleiman A. ^{[2
]}

Johnson, Nana Adwoa Nkuma ^{[1
,2
]}

Barimah, Alberta Osei ^{[2
]}

Afang, Zhu ^{[2
]}

Chen, Zeyu ^{[2
]}

Ekumah, John -Nelson ^{[2
]}

Fuyun, Wang ^{[2
]}

Li, Huanhuan ^{[2
]}

Chen, Quansheng ^{[1
,2
]}

机构：

[1] Jimei Univ, Coll Food & Biol Engn, Xiamen 361021, Peoples R China

[2] Jiangsu Univ, Sch Food & Biol Engn, Zhenjiang 212013, Peoples R China

[3] Ho Teaching Hosp, Dept Nutr & Dietet, POB MA 374, Ho, Ghana

来源：

JOURNAL OF FOOD COMPOSITION AND ANALYSIS | 2024年 / 125卷

关键词：

Surface -enhanced Raman spectroscopy; Au@Ag nanoflowers; Sudan dyes (I; IV); Chemometrics; ENHANCED RAMAN-SPECTROSCOPY; QUANTITATIVE-ANALYSIS; PESTICIDE-RESIDUES; PAPRIKA POWDER; IV; SCATTERING; SUBSTRATE; SPICES; TEA;

D O I：

10.1016/j.jfca.2023.105768

中图分类号：

O69 [应用化学];

学科分类号：

081704 ;

摘要：

Crude palm oil (CPO) is an important edible vegetable oil used globally, recently subjected to Sudan dye adulteration. This study explored the feasibility of a novel SERS-based Au@Ag substrate to detect four Sudan dyes (I - IV) in CPO. When mixed with spiked CPO, the SERS substrate produced strong signals that increased with increasing concentrations from 0.001 to 4.0 ppm. The genetic algorithm partial least square (GA-PLS) model outperformed the partial least square (PLS) and the ant colony optimization - PLS (ACO-PLS) models with Rc values of 0.9844, 0.9865, 0.9884, and 0.9888 0.9846. The calculated LOD were 0.00088 ppm, 0.00092 ppm, 0.00095 ppm, and 0.00097 and real sample recovery rates of 88.0-113.0%, 92.0-103.0%, 91.2-98.5% and 97.0-109.5% for Sudan I, II, III, and IV, respectively. The findings affirmed the SERS sensor's considerable potential for rapid and selective detection of Sudan dyes in CPO when combined with chemometrics.

引用

页数：11

共 38 条

[1] SERS-based sensor coupled with multivariate models for rapid detection of palm oil adulteration with Sudan II and IV dyes [J].