Multielement Principal Component Analysis and Origin Traceability of Rice Based on ICP-MS/MS

In this experiment, inductively coupled plasma tandem mass spectrometry (ICP-MS/MS) was used to determine the content of 30 elements in rice from six places of production and to explore the relationship between the multielement content in rice and the producing area. The contents of Ca, P, S, Zn, Cu...

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Main Authors: Yan Wang, Xiaoxuan Yuan, Linan Liu, Junmei Ma, Sufang Fan, Yan Zhang, Qiang Li
Format: Article
Language:English
Published: Wiley 2021-01-01
Series:Journal of Food Quality
Online Access:http://dx.doi.org/10.1155/2021/5536241
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author Yan Wang
Xiaoxuan Yuan
Linan Liu
Junmei Ma
Sufang Fan
Yan Zhang
Qiang Li
author_facet Yan Wang
Xiaoxuan Yuan
Linan Liu
Junmei Ma
Sufang Fan
Yan Zhang
Qiang Li
author_sort Yan Wang
collection DOAJ
description In this experiment, inductively coupled plasma tandem mass spectrometry (ICP-MS/MS) was used to determine the content of 30 elements in rice from six places of production and to explore the relationship between the multielement content in rice and the producing area. The contents of Ca, P, S, Zn, Cu, Fe, Mn, K, Mg, Na, Ge, Sb, Ba, Ti, V, Se, As, Sr, Mo, Ni, Co, Cr, Al, Li, Cs, Pb, Cd, B, In, and Sn in rice were determined by ICP-MS/MS in the SQ and MS/MS mode. By passing H2, O2, He, and NH3/He reaction gas into the ICP-MS/MS, respectively, the interference was eliminated by means of in situ mass spectrometry and mass transfer. The detection limit of each element was 0.0000662–0.144 mg/kg, and the limit of quantification was in the range of 0.000221–0.479 mg/kg, the linear correlation coefficient was greater or equal to 0.9987 (R2 ≥ 0.9987), and the detection results had low detection limit and great linear regression. Recovery of the method was in the range of 80.6% to 110.5% with spike levels of 0.10–100.00 mg/kg, and relative standard deviations were lower than 10%. For the multielement content of rice from different producing areas, the principal component factor analysis can get six principal component factors, 87.878% cumulative contribution rate, and the distribution of the principal component scores of each element and different producing areas. Based on the multielement content and cluster analysis, the samples were accurately divided into two major categories and six subcategories according to the places of production, which proved that there was a significant correlation between the multielement content in rice and the place of production, so that the place of rice origin can be traced.
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institution Kabale University
issn 0146-9428
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language English
publishDate 2021-01-01
publisher Wiley
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series Journal of Food Quality
spelling doaj-art-407089b1fd90469f8645c2adc270b9b72025-02-03T01:04:34ZengWileyJournal of Food Quality0146-94281745-45572021-01-01202110.1155/2021/55362415536241Multielement Principal Component Analysis and Origin Traceability of Rice Based on ICP-MS/MSYan Wang0Xiaoxuan Yuan1Linan Liu2Junmei Ma3Sufang Fan4Yan Zhang5Qiang Li6Hebei Food Safety Key Laboratory, Hebei Food Inspection and Research Institute, Shijiazhuang 050000, ChinaHebei Food Safety Key Laboratory, Hebei Food Inspection and Research Institute, Shijiazhuang 050000, ChinaHebei Food Safety Key Laboratory, Hebei Food Inspection and Research Institute, Shijiazhuang 050000, ChinaHebei Food Safety Key Laboratory, Hebei Food Inspection and Research Institute, Shijiazhuang 050000, ChinaHebei Food Safety Key Laboratory, Hebei Food Inspection and Research Institute, Shijiazhuang 050000, ChinaHebei Food Safety Key Laboratory, Hebei Food Inspection and Research Institute, Shijiazhuang 050000, ChinaHebei Food Safety Key Laboratory, Hebei Food Inspection and Research Institute, Shijiazhuang 050000, ChinaIn this experiment, inductively coupled plasma tandem mass spectrometry (ICP-MS/MS) was used to determine the content of 30 elements in rice from six places of production and to explore the relationship between the multielement content in rice and the producing area. The contents of Ca, P, S, Zn, Cu, Fe, Mn, K, Mg, Na, Ge, Sb, Ba, Ti, V, Se, As, Sr, Mo, Ni, Co, Cr, Al, Li, Cs, Pb, Cd, B, In, and Sn in rice were determined by ICP-MS/MS in the SQ and MS/MS mode. By passing H2, O2, He, and NH3/He reaction gas into the ICP-MS/MS, respectively, the interference was eliminated by means of in situ mass spectrometry and mass transfer. The detection limit of each element was 0.0000662–0.144 mg/kg, and the limit of quantification was in the range of 0.000221–0.479 mg/kg, the linear correlation coefficient was greater or equal to 0.9987 (R2 ≥ 0.9987), and the detection results had low detection limit and great linear regression. Recovery of the method was in the range of 80.6% to 110.5% with spike levels of 0.10–100.00 mg/kg, and relative standard deviations were lower than 10%. For the multielement content of rice from different producing areas, the principal component factor analysis can get six principal component factors, 87.878% cumulative contribution rate, and the distribution of the principal component scores of each element and different producing areas. Based on the multielement content and cluster analysis, the samples were accurately divided into two major categories and six subcategories according to the places of production, which proved that there was a significant correlation between the multielement content in rice and the place of production, so that the place of rice origin can be traced.http://dx.doi.org/10.1155/2021/5536241
spellingShingle Yan Wang
Xiaoxuan Yuan
Linan Liu
Junmei Ma
Sufang Fan
Yan Zhang
Qiang Li
Multielement Principal Component Analysis and Origin Traceability of Rice Based on ICP-MS/MS
Journal of Food Quality
title Multielement Principal Component Analysis and Origin Traceability of Rice Based on ICP-MS/MS
title_full Multielement Principal Component Analysis and Origin Traceability of Rice Based on ICP-MS/MS
title_fullStr Multielement Principal Component Analysis and Origin Traceability of Rice Based on ICP-MS/MS
title_full_unstemmed Multielement Principal Component Analysis and Origin Traceability of Rice Based on ICP-MS/MS
title_short Multielement Principal Component Analysis and Origin Traceability of Rice Based on ICP-MS/MS
title_sort multielement principal component analysis and origin traceability of rice based on icp ms ms
url http://dx.doi.org/10.1155/2021/5536241
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