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Yang X, Pei J, He X, Wang Y, Wang L, Shen F, Li P, Fang Y. A novel method for determination of peroxide value and acid value of extra-virgin olive oil based on fluorescence internal filtering effect correction. Food Chem 2024; 441:138342. [PMID: 38176142 DOI: 10.1016/j.foodchem.2023.138342] [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: 08/03/2023] [Revised: 12/25/2023] [Accepted: 12/29/2023] [Indexed: 01/06/2024]
Abstract
Peroxide value (PV) and acid value (AV) are widely used indicators for evaluating oxidation degree of olive oils. Fluorescence spectroscopy has been extensively studied on the detection of oil oxidation, however, the detection accuracy is limited due to internal filtering effect (IFE). Due to the primary and secondary IFE, at least two wavelengths of absorption information are required. Least squares support vector regression (LSSVR) models for PV and AV were established based on two absorption coefficients (μa) at 375 nm and emission wavelength and one fluorescence intensity at corresponding wavelength. The regression results proved that the model based on 375 and 475 nm could reach the best performance, with the highest correlation coefficient for prediction (rp) of 0.889 and 0.960 for PV and AV respectively. Finally, the explicit formulations for PV and AV were determined by nonlinear least squares fitting, and the rp could reach above 0.94 for two indicators.
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Affiliation(s)
- Xiaoyun Yang
- College of Food Science and Engineering, Nanjing University of Finance and Economics, Nanjing 210023, China; Collaborative Innovation Center for Modern Grain Circulation and Safety/Key Laboratory of Grains and Oils Quality Control and Processing, Nanjing 210023, China
| | - Jingyu Pei
- College of Food Science and Engineering, Nanjing University of Finance and Economics, Nanjing 210023, China; Collaborative Innovation Center for Modern Grain Circulation and Safety/Key Laboratory of Grains and Oils Quality Control and Processing, Nanjing 210023, China
| | - Xueming He
- College of Food Science and Engineering, Nanjing University of Finance and Economics, Nanjing 210023, China; Collaborative Innovation Center for Modern Grain Circulation and Safety/Key Laboratory of Grains and Oils Quality Control and Processing, Nanjing 210023, China.
| | - Yue Wang
- College of Food Science and Engineering, Nanjing University of Finance and Economics, Nanjing 210023, China; Collaborative Innovation Center for Modern Grain Circulation and Safety/Key Laboratory of Grains and Oils Quality Control and Processing, Nanjing 210023, China
| | - Liu Wang
- Key Laboratory of Traceability for Agricultural Genetically Modified Organisms , Ministry of Agriculture and Rural Affairs, Hangzhou 310022, China
| | - Fei Shen
- College of Food Science and Engineering, Nanjing University of Finance and Economics, Nanjing 210023, China; Collaborative Innovation Center for Modern Grain Circulation and Safety/Key Laboratory of Grains and Oils Quality Control and Processing, Nanjing 210023, China
| | - Peng Li
- College of Food Science and Engineering, Nanjing University of Finance and Economics, Nanjing 210023, China; Collaborative Innovation Center for Modern Grain Circulation and Safety/Key Laboratory of Grains and Oils Quality Control and Processing, Nanjing 210023, China
| | - Yong Fang
- College of Food Science and Engineering, Nanjing University of Finance and Economics, Nanjing 210023, China; Collaborative Innovation Center for Modern Grain Circulation and Safety/Key Laboratory of Grains and Oils Quality Control and Processing, Nanjing 210023, China
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Vladev V, Brazkova M, Bozhkov S, Angelova G, Blazheva D, Minkova S, Nikolova K, Eftimov T. Light-Emitting-Diode-Induced Fluorescence from Organic Dyes for Application in Excitation-Emission Fluorescence Spectroscopy for Food System Analysis. Foods 2024; 13:1329. [PMID: 38731700 PMCID: PMC11083508 DOI: 10.3390/foods13091329] [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: 03/26/2024] [Revised: 04/12/2024] [Accepted: 04/22/2024] [Indexed: 05/13/2024] Open
Abstract
An experimental study is presented on the possibility of using the fluorescence from organic dyes as a broadband light source together with a monochromator for applications in excitation-emission matrix (EEM) fluorescence spectroscopy. A high-power single-chip light-emitting diode (LED) was chosen as an excitation source with a central output wavelength at 365 nm to excite a fluorescent solution of Coumarin 1 dye dissolved in ethanol. Two excitation configurations were investigated: direct excitation from the LED and excitation through an optical-fiber-coupled LED. A Czerny-Turner monochromator with a diffraction grating was used for the spectral tuning of the fluorescence. A simple method was investigated for increasing the efficiency of the excitation as well as the fluorescence signal collection by using a diffuse reflector composed of barium sulfate (BaSO4) and polyvinyl alcohol (PVA). As research objects, extra-virgin olive oil (EVOO), Coumarin 6 dye, and Perylene, a polycyclic aromatic hydrocarbon (PAH), were used. The results showed that the light-emitting-diode-induced fluorescence was sufficient to cover the losses on the optical path to the monochromator output, where a detectable signal could be obtained. The obtained results reveal the practical possibility of applying the fluorescence from dyes as a light source for food system analysis by EEM fluorescence spectroscopy.
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Affiliation(s)
- Veselin Vladev
- Department of Mathematics, Physics and Information Technologies, Faculty of Economics, University of Food Technologies, 26 Maritsa Blvd., 4002 Plovdiv, Bulgaria; (V.V.); (S.B.); (K.N.)
- Central Laboratory of Applied Physics, Bulgarian Academy of Sciences, 61 Sankt Peterburg Blvd., 4002 Plovdiv, Bulgaria;
| | - Mariya Brazkova
- Department of Biotechnology, Technological Faculty, University of Food Technologies, 26 Maritsa Blvd., 4002 Plovdiv, Bulgaria;
| | - Stefan Bozhkov
- Department of Mathematics, Physics and Information Technologies, Faculty of Economics, University of Food Technologies, 26 Maritsa Blvd., 4002 Plovdiv, Bulgaria; (V.V.); (S.B.); (K.N.)
| | - Galena Angelova
- Department of Biotechnology, Technological Faculty, University of Food Technologies, 26 Maritsa Blvd., 4002 Plovdiv, Bulgaria;
| | - Denica Blazheva
- Department of Microbiology, Technological Faculty, University of Food Technologies, 26 Maritza Blvd., 4002 Plovdiv, Bulgaria;
| | - Stefka Minkova
- Department of Physics and Biophysics, Medical University—Varna, 84 Tzar Osvoboditel Blvd., 9000 Varna, Bulgaria;
| | - Krastena Nikolova
- Department of Mathematics, Physics and Information Technologies, Faculty of Economics, University of Food Technologies, 26 Maritsa Blvd., 4002 Plovdiv, Bulgaria; (V.V.); (S.B.); (K.N.)
- Department of Physics and Biophysics, Medical University—Varna, 84 Tzar Osvoboditel Blvd., 9000 Varna, Bulgaria;
| | - Tinko Eftimov
- Central Laboratory of Applied Physics, Bulgarian Academy of Sciences, 61 Sankt Peterburg Blvd., 4002 Plovdiv, Bulgaria;
- Centre de Recherche en Photonique, Université du Québec en Outaouais, 101 rue Saint-Jean-Bosco, Gatineau, QC J8Y 3G5, Canada
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3
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Quantitative Detection of Extra Virgin Olive Oil Adulteration, as Opposed to Peanut and Soybean Oil, Employing LED-Induced Fluorescence Spectroscopy. SENSORS 2022; 22:s22031227. [PMID: 35161972 PMCID: PMC8840102 DOI: 10.3390/s22031227] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/12/2022] [Revised: 02/02/2022] [Accepted: 02/04/2022] [Indexed: 01/27/2023]
Abstract
As it is high in value, extra virgin olive oil (EVOO) is frequently blended with inferior vegetable oils. This study presents an optical method for determining the adulteration level of EVOO with soybean oil as well as peanut oil using LED-induced fluorescence spectroscopy. Eight LEDs with central wavelengths from ultra-violet (UV) to blue are tested to induce the fluorescence spectra of EVOO, peanut oil, and soybean oil, and the UV LED of 372 nm is selected for further detection. Samples are prepared by mixing olive oil with different volume fractions of peanut or soybean oil, and their fluorescence spectra are collected. Different pre-processing and regression methods are utilized to build the prediction model, and good linearity is obtained between the predicted and actual adulteration concentration. This result, accompanied by the non-destruction and no pre-treatment characteristics, proves that it is feasible to use LED-induced fluorescence spectroscopy as a way to investigate the EVOO adulteration level, and paves the way for building a hand-hold device that can be applied to real market conditions in the future.
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Su N, Weng S, Wang L, Xu T. Reflectance Spectroscopy with Multivariate Methods for Non-Destructive Discrimination of Edible Oil Adulteration. BIOSENSORS 2021; 11:bios11120492. [PMID: 34940249 PMCID: PMC8699652 DOI: 10.3390/bios11120492] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/12/2021] [Revised: 11/23/2021] [Accepted: 11/25/2021] [Indexed: 11/16/2022]
Abstract
The visible and near-infrared (Vis-NIR) reflectance spectroscopy was utilized for the rapid and nondestructive discrimination of edible oil adulteration. In total, 110 samples of sesame oil and rapeseed oil adulterated with soybean oil in different levels were produced to obtain the reflectance spectra of 350–2500 nm. A set of multivariant methods was applied to identify adulteration types and adulteration rates. In the qualitative analysis of adulteration type, the support vector machine (SVM) method yielded high overall accuracy with multiple spectra pretreatments. In the quantitative analysis of adulteration rate, the random forest (RF) combined with multivariate scattering correction (MSC) achieved the highest identification accuracy of adulteration rate with the full wavelengths of Vis-NIR spectra. The effective wavelengths of the Vis-NIR spectra were screened to improve the robustness of the multivariant methods. The analysis results suggested that the competitive adaptive reweighted sampling (CARS) was helpful for removing the redundant information from the spectral data and improving the prediction accuracy. The PLSR + MSC + CARS model achieved the best prediction performance in the two adulteration cases of sesame oil and rapeseed oil. The coefficient of determination (RPcv2) and the root mean square error (RMSEPcv) of the prediction set were 0.99656 and 0.01832 in sesame oil adulterated with soybean oil, and the RPcv2 and RMSEPcv were 0.99675 and 0.01685 in rapeseed oil adulterated with soybean oil, respectively. The Vis-NIR reflectance spectroscopy with the assistance of multivariant analysis can effectively discriminate the different adulteration rates of edible oils.
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Affiliation(s)
- Ning Su
- Institute of Intelligent Machines, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei 230031, China;
- Intelligent Agriculture Engineering Laboratory of Anhui Province, Hefei 230031, China
| | - Shizhuang Weng
- National Engineering Research Center for Agro-Ecological Big Data Analysis and Application, Anhui University, Hefei 230601, China;
| | - Liusan Wang
- Institute of Intelligent Machines, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei 230031, China;
- Intelligent Agriculture Engineering Laboratory of Anhui Province, Hefei 230031, China
- Correspondence: (L.W.); (T.X.)
| | - Taosheng Xu
- Institute of Intelligent Machines, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei 230031, China;
- Intelligent Agriculture Engineering Laboratory of Anhui Province, Hefei 230031, China
- Correspondence: (L.W.); (T.X.)
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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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Wang H, Wan X. Effect of chlorophyll fluorescence quenching on quantitative analysis of adulteration in extra virgin olive oil. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2021; 248:119183. [PMID: 33246856 DOI: 10.1016/j.saa.2020.119183] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/14/2020] [Revised: 10/20/2020] [Accepted: 11/01/2020] [Indexed: 06/12/2023]
Abstract
Extra virgin olive oil (EVOO) is both edible oil and health care product. Adulteration in high quality vegetable oil is a ubiquitous fraud, especially in the market of EVOO. Spectroscopy is an effective means to realize the rapid detection of adulteration in EVOO, but the accuracy of quantitative analysis is the short board of spectral detection. Traditional Raman spectroscopy is used to detect the adulteration of EVOO by analyzing the content of monounsaturated fatty acids. However, high oleic acid content is not unique to EVOO. Confocal Raman and Fluorescence Spectroscopy (CRFS) was employed to characterize EVOO along with potential adulterant oils based on their Oleic acid and photosensitive substances content. Statistical analysis of these Oleic acid and photosensitive substances using Multiple Linear Regression (MLR) allowed for a rapid approach to determine EVOO authenticity. The quantitative analysis model of adulteration in EVOO was established using this approach, and the RMSE was 0.0068, and the R-Squaredof external Prediction was 0.9996. In addition, Fluorescence quenching which interfered with the quantitative analysis of chlorophyll was found in the adulteration experiment of EVOO. Compared to traditional Raman methods, CRFS with MLR involves minimal sample preparation combined with fast analysis.
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Affiliation(s)
- Hongpeng Wang
- Key Laboratory of Space Active Opto-Electronics Technology of the Chinese Academy of Sciences, Shanghai 200083, China; Shanghai Institute of Technical Physics of the Chinese Academy of Sciences, Shanghai 200083, China.
| | - Xiong Wan
- Key Laboratory of Space Active Opto-Electronics Technology of the Chinese Academy of Sciences, Shanghai 200083, China; Shanghai Institute of Technical Physics of the Chinese Academy of Sciences, Shanghai 200083, China; School of Life Science, Hangzhou Institute for Advanced Study, UCAS, Hangzhou 310024, China.
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Xu J, Zhong X, Sun M, Chen Q, Zeng Z, Chen Y, Cheng K. Two-Photon Fluorescence Study of Olive Oils at Different Excitation Wavelengths. J Fluoresc 2021; 31:609-617. [PMID: 33528737 DOI: 10.1007/s10895-021-02692-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2020] [Accepted: 01/25/2021] [Indexed: 11/29/2022]
Abstract
Two-photon fluorescence (TPF) of olive oils is discovered and observed experimentally for the first time. Variations of the single-photon fluorescence (SPF) and TPF with the excitation wavelength are investigated for four different olive oils. The results show that fluorescence of the cosmetic olive oils (COO) is very weak and exhibits only one spectral peak around 490 nm. While for the ordinary edible oils (OEO) whether they are during their shelf life or not, their fluorescence spectra may exhibit multiple peak structures. The short-term natural expiration only slightly weakens TPF of OEO. Moreover, the excitation wavelength affects the OEO spectra considerably in terms of the spectral peak number, the spectral peak position, and spectral shapes. When the excitation wavelength decreases from 700 nm, the whole TPF of the OEO also decreases. Relatively, however, the short wave band will decrease and disappear more quickly. While for the SPF, the long wave band will decrease and disappear first. The optimal excitation wavelengths to make the TPF strongest are around 700 nm and 640 nm for OEOs and COO, respectively. And effects of temperature on SPF and TPF of extra virgin olive oil are also explored. This work may be of significance for its potential applications in TPF detection and two-photon laser.
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Affiliation(s)
- Jiameng Xu
- College of Optoelectronic Engineering, Chengdu University of Information Technology, Chengdu, 610225, Sichuan, China
| | - Xianqiong Zhong
- College of Optoelectronic Engineering, Chengdu University of Information Technology, Chengdu, 610225, Sichuan, China.
| | - Mengyu Sun
- College of Optoelectronic Engineering, Chengdu University of Information Technology, Chengdu, 610225, Sichuan, China
| | - Qili Chen
- College of Optoelectronic Engineering, Chengdu University of Information Technology, Chengdu, 610225, Sichuan, China
| | - Zikang Zeng
- College of Optoelectronic Engineering, Chengdu University of Information Technology, Chengdu, 610225, Sichuan, China
| | - Yingsen Chen
- College of Optoelectronic Engineering, Chengdu University of Information Technology, Chengdu, 610225, Sichuan, China
| | - Ke Cheng
- College of Optoelectronic Engineering, Chengdu University of Information Technology, Chengdu, 610225, Sichuan, China
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Li Y, Chen S, Chen H, Guo P, Li T, Xu Q. Effect of thermal oxidation on detection of adulteration at low concentrations in extra virgin olive oil: Study based on laser-induced fluorescence spectroscopy combined with KPCA–LDA. Food Chem 2020; 309:125669. [DOI: 10.1016/j.foodchem.2019.125669] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2019] [Revised: 10/06/2019] [Accepted: 10/07/2019] [Indexed: 10/25/2022]
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