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Adade SYSS, Lin H, Johnson NAN, Qianqian S, Nunekpeku X, Ahmad W, Kwadzokpui BA, Ekumah JN, Chen Q. Rapid qualitative and quantitative analysis of benzo(b)fluoranthene (BbF) in shrimp using SERS-based sensor coupled with chemometric models. Food Chem 2024; 454:139836. [PMID: 38810447 DOI: 10.1016/j.foodchem.2024.139836] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2024] [Revised: 05/16/2024] [Accepted: 05/23/2024] [Indexed: 05/31/2024]
Abstract
Benzo(b)fluoranthene (BbF), a polycyclic aromatic hydrocarbon (PAH), is a carcinogenic contaminant of concern in seafood. This study developed a simple, rapid, sensitive, and cost-effective surface-enhanced Raman scattering (SERS) sensor (AuNPs) coupled with chemometric models for detecting BbF in shrimp samples. Partial least squares (PLS) regression models were optimized using uninformative variable elimination (UVE), bootstrapping soft shrinkage (BOSS), and competitive adaptive reweighted sampling (CARS). Qualitative analysis was performed using principal component analysis (PCA), linear discriminant analysis (LDA), and k-nearest neighbors (KNN) to differentiate between BbF-contaminated and uncontaminated shrimp samples. The SERS-sensor exhibited excellent sensitivity (LOD = 0.12 ng/mL), repeatability (RSD = 6.21%), and anti-interference performance. CARS-PLS model demonstrated superior predictive ability (R2 = 0.9944), and qualitative analysis discriminated between contaminated and uncontaminated samples. The sensor's accuracy was validated using HPLC, demonstrating the ability of the SERS-sensor coupled with chemometrics to rapidly and reliably detect BbF in shrimp samples.
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Affiliation(s)
- Selorm Yao-Say Solomon Adade
- College of Food and Biological Engineering, Jimei University, Xiamen 361021, PR China; Department of Nutrition and Dietetics, Ho Teaching Hospital, P. O. Box MA 374, Ho, Ghana; Centre for Agribusiness Development and Mechanization in Africa (CADMA AgriSolutions), Ho 00233, Ghana
| | - Hao Lin
- School of Food and Biological Engineering, Jiangsu University, Zhenjiang 212013, PR China
| | - Nana Adwoa Nkuma Johnson
- College of Food and Biological Engineering, Jimei University, Xiamen 361021, PR China; Centre for Agribusiness Development and Mechanization in Africa (CADMA AgriSolutions), Ho 00233, Ghana
| | - Sun Qianqian
- College of Food and Biological Engineering, Jimei University, Xiamen 361021, PR China
| | - Xorlali Nunekpeku
- School of Food and Biological Engineering, Jiangsu University, Zhenjiang 212013, PR China
| | - Waqas Ahmad
- College of Food and Biological Engineering, Jimei University, Xiamen 361021, PR China
| | - Bridget Ama Kwadzokpui
- School of Food and Biological Engineering, Jiangsu University, Zhenjiang 212013, PR China
| | - John-Nelson Ekumah
- School of Food and Biological Engineering, Jiangsu University, Zhenjiang 212013, PR China; Centre for Agribusiness Development and Mechanization in Africa (CADMA AgriSolutions), Ho 00233, Ghana
| | - Quansheng Chen
- College of Food and Biological Engineering, Jimei University, Xiamen 361021, PR China.
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Martins ZE, Ramos H, Araújo AM, Silva M, Ribeiro M, Melo A, Mansilha C, Viegas O, Faria MA, Ferreira IM. From data to insight: Exploring contaminants in different food groups with literature mining and machine learning techniques. Curr Res Food Sci 2023; 7:100557. [PMID: 37600463 PMCID: PMC10432907 DOI: 10.1016/j.crfs.2023.100557] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2023] [Revised: 06/29/2023] [Accepted: 07/31/2023] [Indexed: 08/22/2023] Open
Abstract
Food remains a major source of human exposure to chemical contaminants that are unintentionally present in commodities globally, despite strict regulation. Scientific literature is a valuable source of quantification data on those contaminants in various foods, but manually summarizing the information is not practicable. In this review, literature mining and machine learning techniques were applied in 72 foods to obtain relevant information on 96 contaminants, including heavy metals, polychlorinated biphenyls, dioxins, furans, polycyclic aromatic hydrocarbons (PAHs), pesticides, mycotoxins, and heterocyclic aromatic amines (HAAs). The 11,723 data points collected from 254 papers from the last two decades were then used to identify the patterns of contaminants distribution. Considering contaminant categories, metals were the most studied globally, followed by PAHs, mycotoxins, pesticides, and HAAs. As for geographical region, the distribution was uneven, with Europe and Asia having the highest number of studies, followed by North and South America, Africa and Oceania. Regarding food groups, all contained metals, while PAHs were found in seven out of 12 groups. Mycotoxins were found in six groups, and pesticides in almost all except meat, eggs, and vegetable oils. HAAs appeared in only three food groups, with fish and seafood reporting the highest levels. The median concentrations of contaminants varied across food groups, with citrinin having the highest median value. The information gathered is highly relevant to explore, establish connections, and identify patterns between diverse datasets, aiming at a comprehensive view of food contamination.
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Affiliation(s)
- Zita E. Martins
- LAQV/REQUIMTE, Departamento de Ciências Químicas, Laboratório de Bromatologia e Hidrologia, Faculdade de Farmácia, Universidade do Porto, Rua de Jorge Viterbo Ferreira n.° 228, 4050-313 Porto, Portugal
- Faculdade de Ciências da Nutrição e Alimentação, Universidade do Porto, Rua do Campo Alegre 823, 4150-180 Porto, Portugal
| | - Helena Ramos
- LAQV/REQUIMTE, Departamento de Ciências Químicas, Laboratório de Bromatologia e Hidrologia, Faculdade de Farmácia, Universidade do Porto, Rua de Jorge Viterbo Ferreira n.° 228, 4050-313 Porto, Portugal
| | - Ana Margarida Araújo
- LAQV/REQUIMTE, Departamento de Ciências Químicas, Laboratório de Bromatologia e Hidrologia, Faculdade de Farmácia, Universidade do Porto, Rua de Jorge Viterbo Ferreira n.° 228, 4050-313 Porto, Portugal
| | - Marta Silva
- LAQV/REQUIMTE, Departamento de Ciências Químicas, Laboratório de Bromatologia e Hidrologia, Faculdade de Farmácia, Universidade do Porto, Rua de Jorge Viterbo Ferreira n.° 228, 4050-313 Porto, Portugal
| | - Mafalda Ribeiro
- LAQV/REQUIMTE, Departamento de Ciências Químicas, Laboratório de Bromatologia e Hidrologia, Faculdade de Farmácia, Universidade do Porto, Rua de Jorge Viterbo Ferreira n.° 228, 4050-313 Porto, Portugal
| | - Armindo Melo
- Instituto Nacional de Saúde Dr. Ricardo Jorge, Departamento de Saúde Ambiental, Rua Alexandre Herculano 321, 4000-055 Porto, Portugal
- LAQV/REQUIMTE, Universidade do Porto, Portugal
| | - Catarina Mansilha
- Instituto Nacional de Saúde Dr. Ricardo Jorge, Departamento de Saúde Ambiental, Rua Alexandre Herculano 321, 4000-055 Porto, Portugal
- LAQV/REQUIMTE, Universidade do Porto, Portugal
| | - Olga Viegas
- LAQV/REQUIMTE, Departamento de Ciências Químicas, Laboratório de Bromatologia e Hidrologia, Faculdade de Farmácia, Universidade do Porto, Rua de Jorge Viterbo Ferreira n.° 228, 4050-313 Porto, Portugal
- Faculdade de Ciências da Nutrição e Alimentação, Universidade do Porto, Rua do Campo Alegre 823, 4150-180 Porto, Portugal
| | - Miguel A. Faria
- LAQV/REQUIMTE, Departamento de Ciências Químicas, Laboratório de Bromatologia e Hidrologia, Faculdade de Farmácia, Universidade do Porto, Rua de Jorge Viterbo Ferreira n.° 228, 4050-313 Porto, Portugal
| | - Isabel M.P.L.V.O. Ferreira
- LAQV/REQUIMTE, Departamento de Ciências Químicas, Laboratório de Bromatologia e Hidrologia, Faculdade de Farmácia, Universidade do Porto, Rua de Jorge Viterbo Ferreira n.° 228, 4050-313 Porto, Portugal
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Huang X, Li Z, Zhang T, Zhu J, Wang X, Nie M, Harada K, Zhang J, Zou X. Research progress in human biological monitoring of aromatic hydrocarbon with emphasis on the analytical technology of biomarkers. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2023; 257:114917. [PMID: 37094484 DOI: 10.1016/j.ecoenv.2023.114917] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/26/2023] [Revised: 04/11/2023] [Accepted: 04/13/2023] [Indexed: 05/03/2023]
Abstract
Aromatic hydrocarbons are unsaturated compounds containing carbon and hydrogen that form single aromatic ring, or double, triple, or multiple fused rings. This review focuses on the research progress of aromatic hydrocarbons represented by polycyclic aromatic hydrocarbons (including halogenated polycyclic aromatic hydrocarbons), benzene and its derivatives including toluene, ethylbenzene, xylenes (o-, m- and p-), styrene, nitrobenzene, and aniline. Due to the toxicity, widespread coexistence, and persistence of aromatic hydrocarbons in the environment, accurate assessment of exposure to aromatic hydrocarbons is essential to protect human health. The effects of aromatic hydrocarbons on human health are mainly derived from three aspects: different routes of exposure, the duration and relative toxicity of aromatic hydrocarbons, and the concentration of aromatic hydrocarbons which should be below the biological exposure limit. Therefore, this review discusses the primary exposure routes, toxic effects on humans, and key populations, in particular. This review briefly summarizes the different biomarker indicators of main aromatic hydrocarbons in urine, since most aromatic hydrocarbon metabolites are excreted via urine, which is more feasible, convenient, and non-invasive. In this review, the pretreatment and analytical techniques are compiled systematically for the qualitative and quantitative assessments of aromatic hydrocarbons metabolites such as gas chromatography and high-performance liquid chromatography with multiple detectors. This review aims to identify and monitor the co-exposure of aromatic hydrocarbons that provides a basis for the formulation of corresponding health risk control measures and guide the adjustment of the exposure dose of pollutants to the population.
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Affiliation(s)
- Xinyi Huang
- Department of Public Health Laboratory Science, West China School of Public Health and West China Fourth Hospital, West China-PUMC C.C. Chen Institute of Health, Sichuan University, Chengdu 610041, China
| | - Zhuoya Li
- Department of Public Health Laboratory Science, West China School of Public Health and West China Fourth Hospital, West China-PUMC C.C. Chen Institute of Health, Sichuan University, Chengdu 610041, China
| | - Tianai Zhang
- Department of Public Health Laboratory Science, West China School of Public Health and West China Fourth Hospital, West China-PUMC C.C. Chen Institute of Health, Sichuan University, Chengdu 610041, China
| | - Jing Zhu
- Department of Public Health Laboratory Science, West China School of Public Health and West China Fourth Hospital, West China-PUMC C.C. Chen Institute of Health, Sichuan University, Chengdu 610041, China
| | - Xuan Wang
- Department of Public Health Laboratory Science, West China School of Public Health and West China Fourth Hospital, West China-PUMC C.C. Chen Institute of Health, Sichuan University, Chengdu 610041, China
| | - Manqing Nie
- Department of Public Health Laboratory Science, West China School of Public Health and West China Fourth Hospital, West China-PUMC C.C. Chen Institute of Health, Sichuan University, Chengdu 610041, China
| | - Kouji Harada
- Department of Health and Environmental Sciences, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Jing Zhang
- Department of Public Health Laboratory Science, West China School of Public Health and West China Fourth Hospital, West China-PUMC C.C. Chen Institute of Health, Sichuan University, Chengdu 610041, China.
| | - Xiaoli Zou
- Department of Public Health Laboratory Science, West China School of Public Health and West China Fourth Hospital, West China-PUMC C.C. Chen Institute of Health, Sichuan University, Chengdu 610041, China.
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Marín-Sáez J, López-Ruiz R, Sobral M, Romero-González R, Garrido Frenich A, Ferreira IM. Analytical methods for biomonitoring organic chemical hazards in saliva: A systematic review. Trends Analyt Chem 2022. [DOI: 10.1016/j.trac.2022.116853] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/08/2022]
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da Silva SA, De Rossi GZ, Ossugui MM, de Almeida AP, Guizellini GM, Sampaio GR, da Silva Torres EAF. Quantification of Polycyclic Aromatic Hydrocarbons in Commonly Consumed Salami in Brazil. FOOD ANAL METHOD 2022. [DOI: 10.1007/s12161-022-02414-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
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Optimizing the Extraction and Clean-up Step for Determination of Polycyclic Aromatic Hydrocarbons in Malt Using HPLC-FLD. FOOD ANAL METHOD 2022. [DOI: 10.1007/s12161-022-02405-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
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Inhibitory effect of vinegars on the formation of polycyclic aromatic hydrocarbons in charcoal-grilled pork. Meat Sci 2020; 167:108083. [DOI: 10.1016/j.meatsci.2020.108083] [Citation(s) in RCA: 31] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2019] [Revised: 02/04/2020] [Accepted: 02/05/2020] [Indexed: 11/21/2022]
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Polycyclic aromatic hydrocarbons in edible oils and fatty foods: Occurrence, formation, analysis, change and control. ADVANCES IN FOOD AND NUTRITION RESEARCH 2020; 93:59-112. [PMID: 32711866 DOI: 10.1016/bs.afnr.2020.02.001] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
Numerous studies have demonstrated that dozens of polycyclic aromatic hydrocarbons (PAHs) are mutagenic, genotoxic and strongly carcinogenic. PAHs are found to be widely present in foods contaminated through multiple paths. Due to their lipophilic nature, these compounds easily accumulate in edible oils and fatty foods where they can range from no detection to over 2000μg/kg. Compared to precursor PAHs, researchers have seldom studied the presence of PAH derivatives, especially in food matrices. This chapter includes the physical and chemical characteristics of PAHs and their types, occurrence, sample pretreatment and instrumental determination methods, and their formation, change and control in edible oils and fatty foods. The occurrence and formation of PAH derivatives in foods are much less investigated compared to those of their precursor PAHs. Although the removal of matrix effects and accuracy remain difficult for current rapid determination methods, a prospective research direction of PAH analysis for large-scale screening is in demand. To date, physical absorption, chemical oxidation and biodegradation have been widely used in PAH removal techniques. Specific types of bacteria, fungi, and algae have also been used to degrade PAHs into harmless compounds. However, most of them can only degrade a range of LPAHs, such as naphthalene, anthracene and phenanthrene. Their ability to degrade HPAHs requires further study. Moreover, it is still a great challenge to maintain food nutrition and flavor during the PAH removal process using these methods.
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Analysis of PAHs in oily systems using modified QuEChERS with EMR-Lipid clean-up followed by GC-QqQ-MS. Food Control 2020. [DOI: 10.1016/j.foodcont.2019.106950] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
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