Detection of Azo Dyes in Curry Powder Using a 1064-nm Dispersive Point-Scan Raman System
| العنوان: | Detection of Azo Dyes in Curry Powder Using a 1064-nm Dispersive Point-Scan Raman System |
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| المؤلفون: | Moon S. Kim, Kuanglin Chao, Jianwei Qin, Sagar Dhakal, Walter F. Schmidt, Qing Huang |
| المصدر: | Applied Sciences; Volume 8; Issue 4; Pages: 564 Applied Sciences, Vol 8, Iss 4, p 564 (2018) |
| بيانات النشر: | MDPI AG, 2018. |
| سنة النشر: | 2018 |
| مصطلحات موضوعية: | Raman chemical image, azo dyes, Materials science, food.ingredient, Analytical chemistry, 02 engineering and technology, Southeast asian, lcsh:Technology, 01 natural sciences, Spectral line, lcsh:Chemistry, Matrix (chemical analysis), symbols.namesake, food, 1064 nm, self-modeling mixture analysis, food safety, curry powder, Chemical contaminants, General Materials Science, lcsh:QH301-705.5, Instrumentation, Fluid Flow and Transfer Processes, Adulterant, lcsh:T, Process Chemistry and Technology, 010401 analytical chemistry, General Engineering, 021001 nanoscience & nanotechnology, lcsh:QC1-999, 0104 chemical sciences, Computer Science Applications, lcsh:Biology (General), lcsh:QD1-999, lcsh:TA1-2040, Spectral image, symbols, Curry powder, lcsh:Engineering (General). Civil engineering (General), 0210 nano-technology, Raman spectroscopy, lcsh:Physics |
| الوصف: | Curry powder is extensively used in Southeast Asian dishes. It has been subject to adulteration by azo dyes. This study used a newly developed 1064 nm dispersive point-scan Raman system for detection of metanil yellow and Sudan-I contamination in curry powder. Curry powder was mixed with metanil yellow and (separately) with Sudan-I, at concentration levels of 1%, 3%, 5%, 7%, and 10% (w/w). Each sample was packed into a nickel-plated sample container (25 mm × 25 mm × 1 mm). One Raman spectral image of each sample was acquired across the 25 mm × 25 mm surface area. Intensity threshold value was applied to the spectral images of Sudan-I mixtures (at 1593 cm−1) and metanil yellow mixtures (at 1147 cm−1) to obtain binary detection images. The results show that the number of detected adulterant pixels is linearly correlated with the sample concentration (R2 = 0.99). The Raman system was further used to obtain a Raman spectral image of a curry powder sample mixed together with Sudan-I and metanil yellow, with each contaminant at equal concentration of 5% (w/w). The multi-component spectra of the mixture sample were decomposed using self-modeling mixture analysis (SMA) to extract pure component spectra, which were then identified as matching those of Sudan-I and metanil yellow using spectral information divergence (SID) values. The results show that the 1064 nm dispersive Raman system is a potential tool for rapid and nondestructive detection of multiple chemical contaminants in the complex food matrix. |
| وصف الملف: | application/pdf |
| تدمد: | 2076-3417 |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7d559a42f9b3e9ee5fd4e79f1ac8a9cd https://doi.org/10.3390/app8040564 |
| حقوق: | OPEN |
| رقم الأكسشن: | edsair.doi.dedup.....7d559a42f9b3e9ee5fd4e79f1ac8a9cd |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 20763417 |
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