Arrowroot and Cassava Mixed Starch Products Identification by Raman Analysis with Chemometrics
Food frauds present a major problem in the foodstuff industry. Arrowroot and cassava may be targeted in adulteration and falsification processes. Raman analysis combined with chemometric techniques was proposed to identify the mixing and adulteration of these foodstuffs in commercial products. 67 ca...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-09-01
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| Series: | Polysaccharides |
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| Online Access: | https://www.mdpi.com/2673-4176/2/3/43 |
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| author | Isaac Yves Lopes de Macedo Marney Pascoli Cereda Camila Delinski Bet Jose Francisco Santos Silveira Junior Murilo Ferreira de Carvalho Eric de Souza Gil |
| author_facet | Isaac Yves Lopes de Macedo Marney Pascoli Cereda Camila Delinski Bet Jose Francisco Santos Silveira Junior Murilo Ferreira de Carvalho Eric de Souza Gil |
| author_sort | Isaac Yves Lopes de Macedo |
| collection | DOAJ |
| description | Food frauds present a major problem in the foodstuff industry. Arrowroot and cassava may be targeted in adulteration and falsification processes. Raman analysis combined with chemometric techniques was proposed to identify the mixing and adulteration of these foodstuffs in commercial products. 67 cassava and 5 arrowroot samples were prepared in laboratory. 21 cassava and 5 arrowroot commercial samples were purchased in local stores. Raman assays were performed in the range of 400 to 2300 cm<sup>−1</sup>. Principal component analysis with K-means clustering was used to identify the adulteration of these products. It was possible to observe the separation of three different groups in the data, these groups labelled group 1, 2 and 3 were correspondent to cassava-like samples, mixed samples, and arrowroot-like samples, respectively. Despite the visual analysis related to sensory characteristics and the visual analysis of each Raman spectrum of cassava and arrowroot not being able to differentiate these foodstuffs, the chemometric approaches with the Raman specters data were able to identify which samples were pure arrowroot, pure cassava and which were mixed products. The proposed approach showed to be an effective tool in the investigation of fraud for arrowroot and cassava. |
| first_indexed | 2024-03-10T07:16:42Z |
| format | Article |
| id | doaj.art-ade56d08bd22405e82715c34c3735b0d |
| institution | Directory Open Access Journal |
| issn | 2673-4176 |
| language | English |
| last_indexed | 2024-03-10T07:16:42Z |
| publishDate | 2021-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Polysaccharides |
| spelling | doaj.art-ade56d08bd22405e82715c34c3735b0d2023-11-22T14:57:50ZengMDPI AGPolysaccharides2673-41762021-09-012371571910.3390/polysaccharides2030043Arrowroot and Cassava Mixed Starch Products Identification by Raman Analysis with ChemometricsIsaac Yves Lopes de Macedo0Marney Pascoli Cereda1Camila Delinski Bet2Jose Francisco Santos Silveira Junior3Murilo Ferreira de Carvalho4Eric de Souza Gil5Pharmacy Faculty, Goiás Federal University (UFG), Goiânia 74605-170, BrazilDepartment of Environmental Sciences and Agricultural Sustainability, São Paulo State University (UNESP), São Paulo 01049-010, BrazilFood Science and Technology Graduate Program, State University of Ponta Grossa (UEPG), Av. Carlos Cavalcanti 4748 Uvaranas Campus, Ponta Grossa CEP 84.030-900, BrazilDepartment of Agricultural Diagnostics and Research, Santa Catarina Federal University (UFSC), Florianópolis 88040-900, BrazilPharmacy Faculty, Goiás Federal University (UFG), Goiânia 74605-170, BrazilPharmacy Faculty, Goiás Federal University (UFG), Goiânia 74605-170, BrazilFood frauds present a major problem in the foodstuff industry. Arrowroot and cassava may be targeted in adulteration and falsification processes. Raman analysis combined with chemometric techniques was proposed to identify the mixing and adulteration of these foodstuffs in commercial products. 67 cassava and 5 arrowroot samples were prepared in laboratory. 21 cassava and 5 arrowroot commercial samples were purchased in local stores. Raman assays were performed in the range of 400 to 2300 cm<sup>−1</sup>. Principal component analysis with K-means clustering was used to identify the adulteration of these products. It was possible to observe the separation of three different groups in the data, these groups labelled group 1, 2 and 3 were correspondent to cassava-like samples, mixed samples, and arrowroot-like samples, respectively. Despite the visual analysis related to sensory characteristics and the visual analysis of each Raman spectrum of cassava and arrowroot not being able to differentiate these foodstuffs, the chemometric approaches with the Raman specters data were able to identify which samples were pure arrowroot, pure cassava and which were mixed products. The proposed approach showed to be an effective tool in the investigation of fraud for arrowroot and cassava.https://www.mdpi.com/2673-4176/2/3/43foodfraudadulteration |
| spellingShingle | Isaac Yves Lopes de Macedo Marney Pascoli Cereda Camila Delinski Bet Jose Francisco Santos Silveira Junior Murilo Ferreira de Carvalho Eric de Souza Gil Arrowroot and Cassava Mixed Starch Products Identification by Raman Analysis with Chemometrics Polysaccharides food fraud adulteration |
| title | Arrowroot and Cassava Mixed Starch Products Identification by Raman Analysis with Chemometrics |
| title_full | Arrowroot and Cassava Mixed Starch Products Identification by Raman Analysis with Chemometrics |
| title_fullStr | Arrowroot and Cassava Mixed Starch Products Identification by Raman Analysis with Chemometrics |
| title_full_unstemmed | Arrowroot and Cassava Mixed Starch Products Identification by Raman Analysis with Chemometrics |
| title_short | Arrowroot and Cassava Mixed Starch Products Identification by Raman Analysis with Chemometrics |
| title_sort | arrowroot and cassava mixed starch products identification by raman analysis with chemometrics |
| topic | food fraud adulteration |
| url | https://www.mdpi.com/2673-4176/2/3/43 |
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