1
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Vijayan A, Prakash J. Unveiling angular sweep total fluorescence Spectroscopy:A novel multidimensional technique for analysis of complex multi-fluorophoric systems. Talanta 2024; 271:125662. [PMID: 38241926 DOI: 10.1016/j.talanta.2024.125662] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2023] [Revised: 01/05/2024] [Accepted: 01/09/2024] [Indexed: 01/21/2024]
Abstract
Analyzing multi-fluorophoric real systems without pre-processing is challenging, often addressed with unconventional fluorescence techniques and chemometrics. In this context, we introduce a novel addition - 'Angular Sweep Total Fluorescence Spectroscopy (ASTFS),' to the arsenal of multidimensional steady-state fluorescence spectroscopic techniques. ASTFS utilizes a series of variable angle synchronous fluorescence spectra, strategically covering the fluorescence region between the first and second-order Rayleigh scattering ridges. The plot features a minimal data matrix size, avoids Rayleigh scattering signals, and incurs no blind regions. The study delves into the instrumental configurations for spectral acquisition, highlights the enhanced spectral resolution due to the band-narrowing effect, and discusses other notable features of the ASTFS plot. Further, this technique is reported to be effective in analyzing analytes in complex systems with strong background fluorescence, such as milk. The antibiotic- Norfloxacin is quantified via minimal pre-processing in milk samples and yields excellent analytical figures of merit.
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Affiliation(s)
- Anupama Vijayan
- Department of Chemistry, School of Basic and Applied Sciences, Central University of Tamil Nadu, Thiruvarur, 610 005, India
| | - John Prakash
- Department of Chemistry, School of Basic and Applied Sciences, Central University of Tamil Nadu, Thiruvarur, 610 005, India.
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2
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Lv HZ, Chen J, Zhao Y, Li Y, Cao SH, Cai WP, Shen L, Lu Y, Li YQ. A novel derivative synchronous fluorescence method for the rapid, non-destructive and intuitive differentiation of denitrifying bacteria. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2024; 356:120587. [PMID: 38520848 DOI: 10.1016/j.jenvman.2024.120587] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/21/2023] [Revised: 01/30/2024] [Accepted: 03/10/2024] [Indexed: 03/25/2024]
Abstract
It is challenging to differentiate bacteria residing in the same habitat by direct observation. This difficulty impedes the harvest, application and manipulation of functional bacteria in environmental engineering. In this study, we developed a novel method for rapid differentiation of living denitrifying bacteria based on derivative synchronous fluorescence spectroscopy, as exemplified by three heterotrophic nitrification-aerobic denitrification bacteria having the maximum nitrogen removal efficiencies greater than 90%. The intact bacteria and their living surroundings can be analyzed as an integrated target, which eliminates the need for the complex pre-processing of samples. Under the optimal synchronous scanning parameter (Δλ = 40 nm), each bacterium possesses a unique fluorescence spectral structure and the derivative synchronous fluorescence technique can significantly improve the spectral resolution compared to other conventional fluorescence methods, which enables the rapid differentiation of different bacteria through derivative synchronous fluorescence spectra as fast as 2 min per spectrum. Additionally, the derivative synchronous fluorescence technique can extract the spectral signals contributed by bacterial extracellular substances produced in the biological nitrogen removal process. Moreover, the results obtained from our method can reflect the real-time denitrification properties of bacteria in the biological nitrogen removal process of wastewater. All these merits highlight derivative synchronous fluorescence spectroscopy as a promising analytic method in the environmental field.
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Affiliation(s)
- Huang-Zhou Lv
- Department of Chemistry and the MOE Key Laboratory of Spectrochemical Analysis and Instrumentation, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen, 361005, PR China
| | - Jinliang Chen
- Department of Chemical and Biochemical Engineering, College of Chemistry and Chemical Engineering, The Key Laboratory for Synthetic Biotechnology of Xiamen City, Xiamen University, Xiamen, 361005, PR China
| | - Yan Zhao
- Department of Chemistry and the MOE Key Laboratory of Spectrochemical Analysis and Instrumentation, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen, 361005, PR China; Technology Center, China Tobacco Fujian Industrial Co., Ltd., Xiamen, 361021, PR China
| | - Yu Li
- Department of Chemical and Biochemical Engineering, College of Chemistry and Chemical Engineering, The Key Laboratory for Synthetic Biotechnology of Xiamen City, Xiamen University, Xiamen, 361005, PR China
| | - Shuo-Hui Cao
- Department of Chemistry and the MOE Key Laboratory of Spectrochemical Analysis and Instrumentation, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen, 361005, PR China; Department of Electronic Science, Xiamen University Xiamen, 361005, PR China
| | - Wei-Peng Cai
- Xiamen Municipal Center for Disease Control and Prevention, Xiamen, 361021, PR China
| | - Liang Shen
- Department of Chemical and Biochemical Engineering, College of Chemistry and Chemical Engineering, The Key Laboratory for Synthetic Biotechnology of Xiamen City, Xiamen University, Xiamen, 361005, PR China.
| | - Yinghua Lu
- Department of Chemical and Biochemical Engineering, College of Chemistry and Chemical Engineering, The Key Laboratory for Synthetic Biotechnology of Xiamen City, Xiamen University, Xiamen, 361005, PR China
| | - Yao-Qun Li
- Department of Chemistry and the MOE Key Laboratory of Spectrochemical Analysis and Instrumentation, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen, 361005, PR China.
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3
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Li X, Gao Y, Deng P, Ren X, Teng S. Determination of Four PAHs and Formaldehyde in Traditionally Smoked Chicken Products. Molecules 2023; 28:5143. [PMID: 37446804 DOI: 10.3390/molecules28135143] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2023] [Revised: 06/23/2023] [Accepted: 06/28/2023] [Indexed: 07/15/2023] Open
Abstract
The present study was conducted to analyze the level of four priority polycyclic aromatic hydrocarbons (PAHs), including benzo[a]pyrene (BaP), chrysene (Chr), benzo[a]anthracene (BaA), and benzo[b]fluoranthene (BbF), in traditionally smoked chicken products marketed in China. The results show that the amount of ƩPAH4 (the sum of four different PAHs: BaP, Chr, BaA, and BbF) was 30.43-225.17 and 18.75-129.54 µg/kg in the skin and meat of smoked chicken products, respectively. The content of ƩPAH4 in the smoked skin was significantly higher as compared to the smoked meat (p < 0.05). The calculation of MOE (margin of exposure) results suggested the possibilities of ingestion risk associated with the consumption of smoked chicken skin. Furthermore, the formaldehyde content in the skin of smoked chicken was 2.17-6.84 mg/kg and 0.86-2.95 mg/kg in the smoked meat. These results indicate that optimization or alternative methods for food processing should be developed to reduce the high level of harmful substances formed during processing to ensure the safety of smoked chicken products. Moreover, along with harmful substances, the moisture content and color of traditionally smoked chicken were analyzed to provide a practical reference for healthy, safe and green processing technology for smoked chicken.
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Affiliation(s)
- Xinxuan Li
- College of Food Science and Technology, Nanjing Agricultural University, Nanjing 210095, China
- National Center of Meat Quality and Safety Control, Nanjing Agricultural University, Nanjing 210095, China
| | | | - Pinghua Deng
- College of Food Science and Technology, Nanjing Agricultural University, Nanjing 210095, China
- National Center of Meat Quality and Safety Control, Nanjing Agricultural University, Nanjing 210095, China
| | - Xiaopu Ren
- College of Life Science, Tarim University, Alar 843300, China
| | - Shuang Teng
- College of Food Science and Technology, Nanjing Agricultural University, Nanjing 210095, China
- National Center of Meat Quality and Safety Control, Nanjing Agricultural University, Nanjing 210095, China
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4
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Orfanakis E, Koumentaki A, Zoumi A, Philippidis A, Samartzis PC, Velegrakis M. Rapid Detection of Benzo[a]pyrene in Extra Virgin Olive Oil Using Fluorescence Spectroscopy. Molecules 2023; 28:molecules28114386. [PMID: 37298860 DOI: 10.3390/molecules28114386] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2023] [Revised: 05/23/2023] [Accepted: 05/25/2023] [Indexed: 06/12/2023] Open
Abstract
Extra virgin olive oil (EVOO) should be naturally free of polycyclic aromatic hydrocarbon (PAH) contamination. PAHs are carcinogenic and toxic, and may cause human health and safety problems. This work aims to detect benzo[a]pyrene residues in EVOO using an easily adaptive optical methodology. This approach, which is based on fluorescence spectroscopy, does not require any sample pretreatment or prior extraction of PAH content from the sample, and is reported for the first time herein. The detection of benzo[a]pyrene even at low concentrations in extra virgin olive oil samples demonstrates fluorescence spectroscopy's capability to ensure food safety.
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Affiliation(s)
- Emmanouil Orfanakis
- Institute of Electronic Structure and Laser, Foundation for Research and Technology-Hellas (IESL-FORTH), 70013 Heraklion, Crete, Greece
- Department of Materials Science and Technology, University of Crete, 70013 Heraklion, Crete, Greece
| | - Aggeliki Koumentaki
- Institute of Electronic Structure and Laser, Foundation for Research and Technology-Hellas (IESL-FORTH), 70013 Heraklion, Crete, Greece
| | - Aikaterini Zoumi
- Institute of Electronic Structure and Laser, Foundation for Research and Technology-Hellas (IESL-FORTH), 70013 Heraklion, Crete, Greece
| | - Aggelos Philippidis
- Institute of Electronic Structure and Laser, Foundation for Research and Technology-Hellas (IESL-FORTH), 70013 Heraklion, Crete, Greece
| | - Peter C Samartzis
- Institute of Electronic Structure and Laser, Foundation for Research and Technology-Hellas (IESL-FORTH), 70013 Heraklion, Crete, Greece
| | - Michalis Velegrakis
- Institute of Electronic Structure and Laser, Foundation for Research and Technology-Hellas (IESL-FORTH), 70013 Heraklion, Crete, Greece
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5
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He JR, Wei JW, Chen SY, Li N, Zhong XD, Li YQ. Machine Learning-Assisted Synchronous Fluorescence Sensing Approach for Rapid and Simultaneous Quantification of Thiabendazole and Fuberidazole in Red Wine. SENSORS (BASEL, SWITZERLAND) 2022; 22:9979. [PMID: 36560348 PMCID: PMC9785232 DOI: 10.3390/s22249979] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/15/2022] [Revised: 12/09/2022] [Accepted: 12/16/2022] [Indexed: 06/17/2023]
Abstract
Rapid analysis of components in complex matrices has always been a major challenge in constructing sensing methods, especially concerning time and cost. The detection of pesticide residues is an important task in food safety monitoring, which needs efficient methods. Here, we constructed a machine learning-assisted synchronous fluorescence sensing approach for the rapid and simultaneous quantitative detection of two important benzimidazole pesticides, thiabendazole (TBZ) and fuberidazole (FBZ), in red wine. First, fluorescence spectra data were collected using a second derivative constant-energy synchronous fluorescence sensor. Next, we established a prediction model through the machine learning approach. With this approach, the recovery rate of TBZ and FBZ detection of pesticide residues in red wine was 101% ± 5% and 101% ± 15%, respectively, without resorting complicated pretreatment procedures. This work provides a new way for the combination of machine learning and fluorescence techniques to solve the complexity in multi-component analysis in practical applications.
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6
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Ji J, Jiang M, Zhang Y, Hou J, Sun S. Polycyclic Aromatic Hydrocarbons Contamination in Edible Oils: A Review. FOOD REVIEWS INTERNATIONAL 2022. [DOI: 10.1080/87559129.2022.2131816] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Affiliation(s)
- Junmin Ji
- College of Food Science and Technology, Henan University of Technology, Zhengzhou, China
| | - Miaomiao Jiang
- College of Food Science and Technology, Henan University of Technology, Zhengzhou, China
| | - Yaxin Zhang
- College of Food Science and Technology, Henan University of Technology, Zhengzhou, China
| | - Jie Hou
- College of Food Science and Technology, Henan University of Technology, Zhengzhou, China
| | - Shangde Sun
- College of Food Science and Technology, Henan University of Technology, Zhengzhou, China
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7
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Xing W, Liu X, Xu C, Farid MS, Cai K, Zhou H, Chen C, Xu B. Application of artificial neural network to predict benzo[a]pyrene based on multiple quality of smoked sausage. Lebensm Wiss Technol 2022. [DOI: 10.1016/j.lwt.2022.113571] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
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8
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Ajmal M, Wei JW, Zhao Y, Liu YH, Wu PP, Li YQ. Derivative Matrix-Isopotential Synchronous Spectrofluorimetry and Hantzsch Reaction: A Direct Route to Simultaneous Determination of Urinary δ-Aminolevulinic Acid and Porphobilinogen. Front Chem 2022; 10:920468. [PMID: 35711951 PMCID: PMC9194443 DOI: 10.3389/fchem.2022.920468] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2022] [Accepted: 05/13/2022] [Indexed: 11/13/2022] Open
Abstract
Early and sensitive detection of δ-aminolevulinic acid (δ-ALA) and porphobilinogen (PBG) is the cornerstone of diagnosis and effective treatment for acute porphyria. However, at present, the quantifying strategies demand multiple solvent extraction steps or chromatographic approaches to separate δ-ALA and PBG prior to quantification. These methods are both time-consuming and laborious. Otherwise, in conventional spectrofluorimetry, the overlapping spectra of the two analytes cause false diagnosis. To overcome this challenge, we present a two-step approach based on derivative matrix-isopotential synchronous fluorescence spectrometry (DMISFS) and the Hantzsch reaction, realizing the simple and simultaneous detection of δ-ALA and PBG in urine samples. The first step is chemical derivatization of the analytes by Hantzsch reaction. The second step is the determination of the target analytes by combining MISFS and the first derivative technique. The proposed approach accomplishes following advantages: 1) The MISFS technique improves the spectral resolution and resolves severe spectral overlap of the analytes, alleviating tedious and complicated pre-separation processes; 2) First derivative technique removes the background interference of δ-ALA on PBG and vice versa, ensuring high sensitivity; 3) Both the analytes can be determined simultaneously via single scanning, enabling rapid detection. The obtained detection limits for δ-ALA and PBG were 0.04 μmol L-1 and 0.3 μmol L-1, respectively. Within-run precisions (intra and inter-day CVs) for both the analytes were <5%. Further, this study would serve to enhance the availability of early and reliable quantitative diagnosis for acute porphyria in both scientific and clinical laboratories.
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Affiliation(s)
| | | | | | | | | | - Yao-Qun Li
- Department of Chemistry and the MOE Key Laboratory of Spectrochemical Analysis and Instrumentation, College of Chemistry and Chemical Engineering, Xiamen University, Xiamen, China
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9
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Zhang Y, Xia J, Zhang C, Ling M, Cheng F. Characterization of the Stability of Vegetable Oil by Synchronous Fluorescence Spectroscopy and Differential Scanning Calorimetry (DSC). ANAL LETT 2021. [DOI: 10.1080/00032719.2021.1883644] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
Affiliation(s)
- Yukun Zhang
- School of Mathematics, Physics and Statistics, Shanghai University of Engineering Science, Shanghai, China
| | - Jinan Xia
- School of Mathematics, Physics and Statistics, Shanghai University of Engineering Science, Shanghai, China
| | - Chaomin Zhang
- School of Mathematics, Physics and Statistics, Shanghai University of Engineering Science, Shanghai, China
| | - Ming Ling
- School of Electronic and Electrical Engineering, Shanghai University of Engineering Science, Shanghai, China
| | - Feifei Cheng
- School of Mathematics, Physics and Statistics, Shanghai University of Engineering Science, Shanghai, China
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10
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Yan XT, Zhang Y, Zhou Y, Li GH, Feng XS. Source, Sample Preparation, Analytical and Inhibition Methods of Polycyclic Aromatic Hydrocarbons in Food (Update since 2015). SEPARATION & PURIFICATION REVIEWS 2021. [DOI: 10.1080/15422119.2021.1977321] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Affiliation(s)
- Xiao-ting Yan
- School of Pharmacy, China Medical University, Shenyang, China
| | - Yuan Zhang
- School of Pharmacy, China Medical University, Shenyang, China
| | - Yu Zhou
- Department of Pharmacy, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Guo-hui Li
- Department of Pharmacy, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Xue-song Feng
- School of Pharmacy, China Medical University, Shenyang, China
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11
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Su M, Jiang Q, Guo J, Zhu Y, Cheng S, Yu T, Du S, Jiang Y, Liu H. Quality alert from direct discrimination of polycyclic aromatic hydrocarbons in edible oil by liquid-interfacial surface-enhanced Raman spectroscopy. Lebensm Wiss Technol 2021. [DOI: 10.1016/j.lwt.2021.111143] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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12
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Timofeeva I, Stepanova K, Bulatov A. In-a-syringe surfactant-assisted dispersive liquid-liquid microextraction of polycyclic aromatic hydrocarbons in supramolecular solvent from tea infusion. Talanta 2021; 224:121888. [PMID: 33379097 DOI: 10.1016/j.talanta.2020.121888] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2020] [Revised: 11/06/2020] [Accepted: 11/08/2020] [Indexed: 12/13/2022]
Abstract
In this work, an automated surfactant-assisted dispersive liquid-liquid microextraction approach based on in-a-syringe concept was developed for the first time. The procedure assumed mixing aqueous sample phase and hydrophilic emulsion containing hexanoic acid and sodium hexanoate in a syringe of flow system. Sodium hexanoate acted as an emulsifier in dispersive liquid-liquid microextraction process and it was required for the formation of supramolecular solvent phase. After spontaneous separation of phases in the syringe, the upper supramolecular solvent phase containing target analytes was withdrawn and analyzed. The procedure was applied to the determination of 13 polycyclic aromatic hydrocarbons in tea infusion by high performance liquid chromatography with fluorescence detection. It was shown that the supramolecular solvent provided effective extraction of polycyclic aromatic hydrocarbons and fast phase separation in the syringe without centrifugation. The enrichment factors were in the range of 38-46. The automated microextraction procedure lasted 4 min including syringe cleaning. Under optimal experimental conditions the linear detection ranges were found to be 0.05-50.00 μg L-1 with limits of detection calculated from a blank test, based on 3σ, 0.02-0.04 μg L-1. Recovery values in the range of 85-105% were achieved for tea infusion with a reproducibility expressed as RSD less than 4.1%.
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Affiliation(s)
- Irina Timofeeva
- Department of Analytical Chemistry, Institute of Chemistry, Saint-Petersburg University, St. Petersburg State University, SPbSU, SPbU, 7/9 Universitetskaya Nab., St. Petersburg, 199034, Russia.
| | - Kira Stepanova
- Department of Analytical Chemistry, Institute of Chemistry, Saint-Petersburg University, St. Petersburg State University, SPbSU, SPbU, 7/9 Universitetskaya Nab., St. Petersburg, 199034, Russia
| | - Andrey Bulatov
- Department of Analytical Chemistry, Institute of Chemistry, Saint-Petersburg University, St. Petersburg State University, SPbSU, SPbU, 7/9 Universitetskaya Nab., St. Petersburg, 199034, Russia
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13
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Sánchez‐Arévalo CM, Olmo‐García L, Fernández‐Sánchez JF, Carrasco‐Pancorbo A. Polycyclic aromatic hydrocarbons in edible oils: An overview on sample preparation, determination strategies, and relative abundance of prevalent compounds. Compr Rev Food Sci Food Saf 2020; 19:3528-3573. [DOI: 10.1111/1541-4337.12637] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2020] [Revised: 08/28/2020] [Accepted: 08/31/2020] [Indexed: 01/18/2023]
Affiliation(s)
| | - Lucía Olmo‐García
- Department of Analytical Chemistry, Faculty of Science University of Granada Granada Spain
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14
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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: 1.5] [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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15
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Ju H, Kim B, Kim J, Baek SY. Development of candidate reference method for accurate determination of four polycyclic aromatic hydrocarbons in olive oil via gas chromatography/high-resolution mass spectrometry using 13C-labeled internal standards. Food Chem 2020; 309:125639. [DOI: 10.1016/j.foodchem.2019.125639] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2019] [Revised: 05/31/2019] [Accepted: 10/01/2019] [Indexed: 10/25/2022]
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16
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Shang F, Wang Y, Wang J, Zhang L, Cheng P, Wang S. Determination of three polycyclic aromatic hydrocarbons in tea using four-way fluorescence data coupled with third-order calibration method. Microchem J 2019. [DOI: 10.1016/j.microc.2019.02.016] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/16/2023]
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17
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Ajmal M, Shindi AAF, Liu YH, Zhao Y, Wu PP, Wei JW, Ghorai SK, Cao SH, Li YQ. Derivative matrix-isopotential synchronous spectrofluorimetry: a solution for the direct determination of urinary δ-aminolevulinic acid. NEW J CHEM 2019. [DOI: 10.1039/c9nj04261j] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
The excitation and emission spectra formulated 3D contours, from which isopotential trajectory was selected for the direct detection of urinary δ-aminolevulinic acid, using derivative matrix isopotential synchronous fluorescence spectrometry.
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Affiliation(s)
- Muhammad Ajmal
- Department of Chemistry and the MOE Key Laboratory of Spectrochemical Analysis & Instrumentation
- College of Chemistry and Chemical Engineering
- Xiamen University
- Xiamen
- China
| | - Ali Abbas Falih Shindi
- Department of Chemistry and the MOE Key Laboratory of Spectrochemical Analysis & Instrumentation
- College of Chemistry and Chemical Engineering
- Xiamen University
- Xiamen
- China
| | - Yi-Hong Liu
- Department of Chemistry and the MOE Key Laboratory of Spectrochemical Analysis & Instrumentation
- College of Chemistry and Chemical Engineering
- Xiamen University
- Xiamen
- China
| | - Yan Zhao
- Department of Chemistry and the MOE Key Laboratory of Spectrochemical Analysis & Instrumentation
- College of Chemistry and Chemical Engineering
- Xiamen University
- Xiamen
- China
| | - Ping-Ping Wu
- Department of Chemistry and the MOE Key Laboratory of Spectrochemical Analysis & Instrumentation
- College of Chemistry and Chemical Engineering
- Xiamen University
- Xiamen
- China
| | - Jia-Wen Wei
- Department of Chemistry and the MOE Key Laboratory of Spectrochemical Analysis & Instrumentation
- College of Chemistry and Chemical Engineering
- Xiamen University
- Xiamen
- China
| | - Shyamal Kr Ghorai
- Department of Chemistry and the MOE Key Laboratory of Spectrochemical Analysis & Instrumentation
- College of Chemistry and Chemical Engineering
- Xiamen University
- Xiamen
- China
| | - Shuo Hui Cao
- Department of Chemistry and the MOE Key Laboratory of Spectrochemical Analysis & Instrumentation
- College of Chemistry and Chemical Engineering
- Xiamen University
- Xiamen
- China
| | - Yao-Qun Li
- Department of Chemistry and the MOE Key Laboratory of Spectrochemical Analysis & Instrumentation
- College of Chemistry and Chemical Engineering
- Xiamen University
- Xiamen
- China
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18
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Yang SD, Tang T, Tan YM, Wang FY, Zhang WB, Li T, Xia MZ. Determination of benzo( a)pyrene in fried and baked foods by HPLC combined with vesicular coacervative supramolecular solvent extraction. Journal of Food Science and Technology 2018; 56:428-435. [PMID: 30728586 DOI: 10.1007/s13197-018-3504-4] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Revised: 11/01/2018] [Accepted: 11/07/2018] [Indexed: 11/24/2022]
Abstract
A simple, rapid and low-cost determination method of benzo(a)pyrene in fried and baked foods was proposed by high performance liquid chromatography combined with vesicular coacervative supramolecular solvent (SUPRAS) extraction. The vesicular coacervate was composed of 1-octanol and tetrabutylammonium bromide. 200 mg of dried samples with 600 μL SUPRAS could be mixed to extract benzo(a)pyrene. Neither evaporation nor further clean-up steps for the extracts were needed. The overall sample treatment took approximately 30 min, and several samples could be simultaneously treated using conventional lab equipment. Then, benzo(a)pyrene was analyzed via liquid chromatography-fluorescence detection. Parameters affecting the extraction efficiency were investigated and optimized. The results showed good linearity of benzo(a)pyrene with the coefficients of determination (R 2) of more than 0.9999 in the range of 0.1-50.0 µg/kg. The limit of detection of the method was 0.11 µg/kg. Recoveries for spiked samples in the range of 1-10 µg/kg were between 89.86 and 100.01%, with relative standard deviations from 1.20 to 3.20%. Benzo(a)pyrene was present in food samples (including instant noodles, biscuits, rice crust and fried bread stick) at concentrations in the range of 0.08-0.39 µg/kg according to the proposed method. The proposed pretreatment method significantly reduces the analysis time. Furthermore, the solventless approach is in accordance with the green chemistry development trend and has significant application prospects.
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Affiliation(s)
- San-Dong Yang
- 1School of Chemical Engineering, Nanjing University of Science and Technology, Nanjing, 210094 China.,Liaoning Engineering Research Center of Dalian Elite Analytical Instruments, Dalian, 116023 China
| | - Tao Tang
- 1School of Chemical Engineering, Nanjing University of Science and Technology, Nanjing, 210094 China.,Liaoning Engineering Research Center of Dalian Elite Analytical Instruments, Dalian, 116023 China
| | - Yi-Meng Tan
- 1School of Chemical Engineering, Nanjing University of Science and Technology, Nanjing, 210094 China
| | - Feng-Yun Wang
- 1School of Chemical Engineering, Nanjing University of Science and Technology, Nanjing, 210094 China
| | - Wei-Bing Zhang
- 3East China University of Science and Technology, Shanghai, 200237 China
| | - Tong Li
- Liaoning Engineering Research Center of Dalian Elite Analytical Instruments, Dalian, 116023 China
| | - Ming-Zhu Xia
- 1School of Chemical Engineering, Nanjing University of Science and Technology, Nanjing, 210094 China
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Guo Y, Zhao WJ, Deng ZF, Wang HB, Peng B, Ma X, Lan C, Zhang SS. Determination of benzo[α]pyrene in edible oil using tetraoxocalix[2]arene[2]triazine bonded silica SPE sorbent. Food Addit Contam Part A Chem Anal Control Expo Risk Assess 2018; 35:1356-1365. [PMID: 29856688 DOI: 10.1080/19440049.2018.1482010] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/14/2022]
Abstract
Benzo[α]pyrene (BaP) is a well-known carcinogen in edible oil. In this study, a method combined solid-phase extraction (SPE) with fluorescent detection was developed using tetraoxocalix[2]arene[2]triazine sorbent (SiO2-OCA) for the clean-up and enrichment of BaP. The interaction between SiO2-OCA and BaP involves a donor-acceptor complex mechanism. The experimental procedure was as follows: BaP was extracted from edible oil with DMF/H2O (9:1, v/v). Then, the ratio of DMF/H2O was adjusted to 1:2 prior to SPE. The final concentrate was analysed using a fluorescence detector at excitation and emission wavelengths of 255 and 420 nm. The method was fully validated. The linearity was in the range of 0.1-100 μg kg-1 with a coefficient of 0.999. The limits of detection and quantification were 0.03 and 0.1 μg kg-1, respectively. The average recoveries were in the range of 88.0 - 122.3%. The intraday and interday precisions were 6.8% and 9.2%, respectively. Compared with other methods, the method reported in this article shows a good detection limit, high reproducibility and recovery and linearity over a broad concentration range. This established method was also applied to evaluate real samples. The concentration of six tested samples was below 5 μg kg-1.
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Affiliation(s)
- Yun Guo
- a College of Chemistry and Molecular Engineering , Zhengzhou University , Zhengzhou , PR China
| | - Wen-Jie Zhao
- b School of Chemistry, Chemical and Environmental Engineering , Henan University of Technology , Zhengzhou , PR China
| | - Zhi-Fen Deng
- a College of Chemistry and Molecular Engineering , Zhengzhou University , Zhengzhou , PR China
| | - Hong-Bo Wang
- c Zhengzhou Tobacco Research Institute of CNTC , Zhengzhou , PR China
| | - Bin Peng
- c Zhengzhou Tobacco Research Institute of CNTC , Zhengzhou , PR China
| | - Xue Ma
- a College of Chemistry and Molecular Engineering , Zhengzhou University , Zhengzhou , PR China
| | - Chen Lan
- a College of Chemistry and Molecular Engineering , Zhengzhou University , Zhengzhou , PR China
| | - Shu-Sheng Zhang
- a College of Chemistry and Molecular Engineering , Zhengzhou University , Zhengzhou , PR China
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