Exploring the feasibility of multi-element fingerprinting with chemometrics for discriminating the geographical origins of asparagus and its risk assessment.
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| Název: | Exploring the feasibility of multi-element fingerprinting with chemometrics for discriminating the geographical origins of asparagus and its risk assessment. |
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| Autoři: | Zhang Q; Jinan Supervision and Inspection Center for Food and Drug Control, Jinan 250101, China. Electronic address: zhangqh9886@163.com., Li M; Jinan Supervision and Inspection Center for Food and Drug Control, Jinan 250101, China., Dou C; Shandong Mingren Freda Pharmaceutical Company Limited, Jinan 250101, China., Yan X; Shandong Institute of Medical Device and Pharmaceutical Packaging Inspection, Jinan 250101, China., Wang B; Shandong Institute for Food and Drug Control, Jinan 250101, China., Zhang H; Shandong Academy of Chinese Medicine, Jinan 250014, China. Electronic address: huiminzhang@163.com., Lin Y; National Institutes for Food and Drug Control, Beijing 100061, China; National Key Laboratory of Regulatory Science for Pharmaceuticals, Beijing 100061, China. Electronic address: linyongqiang@nifdc.org.cn., Zhao D; Heze Medical Collage, Heze 274000, China. |
| Zdroj: | Food chemistry [Food Chem] 2025 Dec 15; Vol. 495 (Pt 1), pp. 146395. Date of Electronic Publication: 2025 Sep 12. |
| Způsob vydávání: | Journal Article; Evaluation Study |
| Jazyk: | English |
| Informace o časopise: | Publisher: Elsevier Applied Science Publishers Country of Publication: England NLM ID: 7702639 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1873-7072 (Electronic) Linking ISSN: 03088146 NLM ISO Abbreviation: Food Chem Subsets: MEDLINE |
| Imprint Name(s): | Publication: Barking : Elsevier Applied Science Publishers Original Publication: Barking, Eng., Applied Science Publishers. |
| Výrazy ze slovníku MeSH: | Asparagus Plant*/chemistry , Asparagus Plant*/classification , Metals, Heavy*/analysis , Chemometrics*/methods , Food Contamination*/analysis, Risk Assessment ; Humans ; Principal Component Analysis ; Discriminant Analysis ; Geography |
| Abstrakt: | Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. This study explored the efficacy of multielement analysis combined with element fingerprints and chemometrics to discriminate the geographical origins of asparagus (Asparagus officinalis L.). It investigated the potential health hazards of long-term intake of asparagus. 19 elements were set as variables, and the geographical origin discrimination analysis was conducted through element fingerprints and chemometrics. The principal component analysis (PCA) provided no clear regional delineations, while in orthogonal partial least square discriminant analysis (OPLS-DA) provided clear regional delineations. The final model has high predictive and cross-validation accuracies were maintained, underscoring the robustness and algorithm flexibility of elemental profiling for accurately identifying the geographical origins of asparagus. Health risk assessment based on the total target hazard quotient (THQ) value of heavy metals of Pb, Cd, As, Hg, Cu, Cr and cancer risk (CR) value of metals of Pb, Cd, As, Cr indicated that consumption of asparagus had certain risk to human health. (Copyright © 2025 Elsevier Ltd. All rights reserved.) |
| Contributed Indexing: | Keywords: Asparagus; Elemental fingerprints; ICP-MS; Risk assessment |
| Substance Nomenclature: | 0 (Metals, Heavy) |
| Entry Date(s): | Date Created: 20250918 Date Completed: 20251118 Latest Revision: 20251118 |
| Update Code: | 20251118 |
| DOI: | 10.1016/j.foodchem.2025.146395 |
| PMID: | 40966784 |
| Databáze: | MEDLINE |
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Nájsť tento článok vo Web of Science | Abstrakt: | Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.<br />This study explored the efficacy of multielement analysis combined with element fingerprints and chemometrics to discriminate the geographical origins of asparagus (Asparagus officinalis L.). It investigated the potential health hazards of long-term intake of asparagus. 19 elements were set as variables, and the geographical origin discrimination analysis was conducted through element fingerprints and chemometrics. The principal component analysis (PCA) provided no clear regional delineations, while in orthogonal partial least square discriminant analysis (OPLS-DA) provided clear regional delineations. The final model has high predictive and cross-validation accuracies were maintained, underscoring the robustness and algorithm flexibility of elemental profiling for accurately identifying the geographical origins of asparagus. Health risk assessment based on the total target hazard quotient (THQ) value of heavy metals of Pb, Cd, As, Hg, Cu, Cr and cancer risk (CR) value of metals of Pb, Cd, As, Cr indicated that consumption of asparagus had certain risk to human health.<br /> (Copyright © 2025 Elsevier Ltd. All rights reserved.) |
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| ISSN: | 1873-7072 |
| DOI: | 10.1016/j.foodchem.2025.146395 |