1
|
Tomar A, Yamini, Gupta RR, Choudhary MK, Sachar S, Mehta SK, Sharma S. Discrimination and analytical profiling of colored printed documents using ATR-FTIR spectroscopy coupled with explorative and predictive statistical analysis: Part I. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2024; 322:124839. [PMID: 39029200 DOI: 10.1016/j.saa.2024.124839] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/03/2023] [Revised: 07/12/2024] [Accepted: 07/14/2024] [Indexed: 07/21/2024]
Abstract
Printed documents are a common form of evidence in forensic document examination. The integration of spectroscopy with chemometrics have evolved evidential analytical interpretation of printing inks. However, we report the first ever study that explores the examination of both black and colored printed documents combined with explorative Principal Component Analysis (PCA) and supervised techniques viz. Soft independent modelling of class analogy (SIMCA) and Partial Least Square- Discriminant Analysis (PLS-DA). The study investigated 74 (40 Ink-based and 34 Toner- based) colored printed document samples using ATR-FTIR to discriminate and determine the source of origin of an unknown printed document using a non-destructive approach. Qualitative analysis by ATR- FTIR indicated the presence of polystyrene, bisphenol A and acrylates as the common binder polymers in the samples. The study was also able to obtain pigment information like presence of PR 57 and PR 146 in magenta, Carbon black in black, Copper Phthalocyanine and PB 15 in Cyan and PY 74 in yellow colored printed samples. Further, PCA has been used as an explorative technique that showed a variance of 97 % in the dataset and indicating that the color Cyan contributes to the maximum classification accuracy. SIMCA has been used as a supervised method to classify the known and test samples to their respective defined classes. However, SIMCA could only classify Toner-based samples in their respective class and inconclusive results were obtained in case of Ink-based samples. Finally, PLS-DA was also used to classify the two class of samples which resulted in a discrimination accuracy of 98.6 %. The derived model was also used for validation study on blind test samples which provided 100 % classification results.
Collapse
Affiliation(s)
- Anjali Tomar
- Institute of Forensic Science & Criminology, Panjab University, Chandigarh 160014, India
| | - Yamini
- Institute of Forensic Science & Criminology, Panjab University, Chandigarh 160014, India
| | - Reeta R Gupta
- Central Forensic Science Laboratory, CBI, New Delhi 110003, India.
| | - Manoj Kumar Choudhary
- Nanomaterial Research Laboratory, Department of Chemistry, Guru Nanak National College, Ludhiana, Punjab 141421, India
| | - Shilpee Sachar
- Department of Chemistry, University of Mumbai, Mumbai 400098, India
| | - S K Mehta
- Department of Chemistry, Panjab University, Chandigarh 160014, India; University of Ladakh, Ladakh, (UT) 194101, India
| | - Shweta Sharma
- Institute of Forensic Science & Criminology, Panjab University, Chandigarh 160014, India.
| |
Collapse
|
2
|
Kanwal N, Musharraf SG. Analytical approaches for the determination of adulterated animal fats and vegetable oils in food and non-food samples. Food Chem 2024; 460:140786. [PMID: 39142208 DOI: 10.1016/j.foodchem.2024.140786] [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: 04/17/2024] [Revised: 08/01/2024] [Accepted: 08/05/2024] [Indexed: 08/16/2024]
Abstract
Edible oils and fats are crucial components of everyday cooking and the production of food products, but their purity has been a major issue for a long time. High-quality edible oils are contaminated with low- and cheap-quality edible oils to increase profits. The adulteration of edible oils and fats also produces many health risks. Detection of main and minor components can identify adulterations using various techniques, such as GC, HPLC, TLC, FTIR, NIR, NMR, direct mass spectrometry, PCR, E-Nose, and DSC. Each detection technique has its advantages and disadvantages. For example, chromatography offers high precision but requires extensive sample preparation, while spectroscopy is rapid and non-destructive but may lack resolution. Direct mass spectrometry is faster and simpler than chromatography-based MS, eliminating complex preparation steps. DNA-based oil authentication is effective but hindered by laborious extraction processes. E-Nose only distinguishes odours, and DSC directly studies lipid thermal properties without derivatization or solvents. Mass spectrometry-based techniques, particularly GC-MS is found to be highly effective for detecting adulteration of oils and fats in food and non-food samples. This review summarizes the benefits and drawbacks of these analytical approaches and their use in conjunction with chemometric tools to detect the adulteration of animal fats and vegetable oils. This combination provides a powerful technique with enormous chemotaxonomic potential that includes the detection of adulterations, quality assurance, assessment of geographical origin, assessment of the process, and classification of the product in complex matrices from food and non-food samples.
Collapse
Affiliation(s)
- Nayab Kanwal
- H. E. J. Research Institute of Chemistry, International Center for Chemical and Biological Sciences, University of Karachi, Karachi 75270, Pakistan
| | - Syed Ghulam Musharraf
- H. E. J. Research Institute of Chemistry, International Center for Chemical and Biological Sciences, University of Karachi, Karachi 75270, Pakistan; Dr. Panjwani Center for Molecular Medicine and Drug Research, International Center for Chemical and Biological Sciences, University of Karachi, Karachi 75270, Pakistan..
| |
Collapse
|
3
|
Li S, Lin X, Ng TT, Yao ZP. Quantitative Analysis of Blended Oils Based on Intensity Ratios of Marker Ions in MALDI-MS Spectra. JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY 2024; 72:15376-15386. [PMID: 38914516 DOI: 10.1021/acs.jafc.4c02833] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/26/2024]
Abstract
Determination of quantitative compositions of blended oils is an essential but challenging step for the quality control and safety assurance of blended oils. We herein report a method for the quantitative analysis of blended oils based on the intensity ratio of triacylglycerol marker ions, which could be obtained from the highly reproducible spectra acquired by using matrix-assisted laser desorption/ionization mass spectrometry (MALDI-MS) to directly analyze blended oils in their oily states. We demonstrated that this method could provide good quantitative results to binary, ternary, and quaternary blended oils, with simultaneous quantitation of multiple compositions, and was applicable for quantitative analysis of commercial blended oil products. Moreover, the intensity ratio-based method could be used to rapidly measure the proportions of oil compositions in blended oils, only based on the spectra of the blended oils and related pure oils, making the method as a high-throughput approach to meet the sharply growing analytical demands of blended oils.
Collapse
Affiliation(s)
- Suying Li
- Research Institute for Future Food, State Key Laboratory of Chemical Biology and Drug Discovery, Research Center for Chinese Medicine Innovation, and Department of Applied Biology and Chemical Technology, The Hong Kong Polytechnic University, Hung Hom, Kowloon 999077, Hong Kong Special Administrative Region, China
- State Key Laboratory of Chinese Medicine and Molecular Pharmacology (Incubation), and Shenzhen Key Laboratory of Food Biological Safety Control, Hong Kong Polytechnic University Shenzhen Research Institute, Shenzhen 518057, China
| | - Xuewei Lin
- Research Institute for Future Food, State Key Laboratory of Chemical Biology and Drug Discovery, Research Center for Chinese Medicine Innovation, and Department of Applied Biology and Chemical Technology, The Hong Kong Polytechnic University, Hung Hom, Kowloon 999077, Hong Kong Special Administrative Region, China
- State Key Laboratory of Chinese Medicine and Molecular Pharmacology (Incubation), and Shenzhen Key Laboratory of Food Biological Safety Control, Hong Kong Polytechnic University Shenzhen Research Institute, Shenzhen 518057, China
| | - Tsz-Tsun Ng
- Research Institute for Future Food, State Key Laboratory of Chemical Biology and Drug Discovery, Research Center for Chinese Medicine Innovation, and Department of Applied Biology and Chemical Technology, The Hong Kong Polytechnic University, Hung Hom, Kowloon 999077, Hong Kong Special Administrative Region, China
- State Key Laboratory of Chinese Medicine and Molecular Pharmacology (Incubation), and Shenzhen Key Laboratory of Food Biological Safety Control, Hong Kong Polytechnic University Shenzhen Research Institute, Shenzhen 518057, China
| | - Zhong-Ping Yao
- Research Institute for Future Food, State Key Laboratory of Chemical Biology and Drug Discovery, Research Center for Chinese Medicine Innovation, and Department of Applied Biology and Chemical Technology, The Hong Kong Polytechnic University, Hung Hom, Kowloon 999077, Hong Kong Special Administrative Region, China
- State Key Laboratory of Chinese Medicine and Molecular Pharmacology (Incubation), and Shenzhen Key Laboratory of Food Biological Safety Control, Hong Kong Polytechnic University Shenzhen Research Institute, Shenzhen 518057, China
| |
Collapse
|
4
|
Cheng H, Liu T, Tian J, An R, Shen Y, Liu M, Yao Z. A General Strategy for Food Traceability and Authentication Based on Assembly-Tunable Fluorescence Sensor Arrays. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2024; 11:e2309259. [PMID: 38760900 PMCID: PMC11267353 DOI: 10.1002/advs.202309259] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/29/2023] [Revised: 04/28/2024] [Indexed: 05/20/2024]
Abstract
Food traceability and authentication systems play an important role in ensuring food quality and safety. Current techniques mainly rely on direct measurement by instrumental analysis, which is usually designed for one or a group of specific foods, not available for various food categories. To develop a general strategy for food identification and discrimination, a novel method based on fluorescence sensor arrays is proposed, composed of supramolecular assemblies regulated by non-covalent interactions as an information conversion system. The stimuli-responsiveness and tunability of supramolecular assemblies provided an excellent platform for interacting with various molecules in different foods. In this work, five sensor arrays constructed by supramolecular assemblies composed of pyrene derivatives and perylene derivatives are designed and prepared. Assembly behavior and sensing mechanisms are investigated systematically by spectroscopy techniques. The traceability and authentication effects on several kinds of food from different origins or grades are evaluated and verified by linear discriminant analysis (LDA). It is confirmed that the cross-reactive signals from different sensor units encompassing all molecular interactions can generate a unique fingerprint pattern for each food and can be used for traceability and authentication toward universal food categories with 100% accuracy.
Collapse
Affiliation(s)
- He Cheng
- Beijing Laboratory of Food Quality and SafetyCollege of Food Science and Nutritional EngineeringChina Agricultural UniversityBeijing100083China
| | - Tianyue Liu
- Beijing Laboratory of Food Quality and SafetyCollege of Food Science and Nutritional EngineeringChina Agricultural UniversityBeijing100083China
| | - Jingsheng Tian
- Beijing Laboratory of Food Quality and SafetyCollege of Food Science and Nutritional EngineeringChina Agricultural UniversityBeijing100083China
| | - Ruixuan An
- Beijing Laboratory of Food Quality and SafetyCollege of Food Science and Nutritional EngineeringChina Agricultural UniversityBeijing100083China
| | - Yao Shen
- Beijing Laboratory of Food Quality and SafetyCollege of Food Science and Nutritional EngineeringChina Agricultural UniversityBeijing100083China
| | - Mingxi Liu
- Beijing Laboratory of Food Quality and SafetyCollege of Food Science and Nutritional EngineeringChina Agricultural UniversityBeijing100083China
| | - Zhiyi Yao
- Beijing Laboratory of Food Quality and SafetyCollege of Food Science and Nutritional EngineeringChina Agricultural UniversityBeijing100083China
| |
Collapse
|
5
|
de Souza DM, de B Salum L, Damasceno RR, de Moura Messias PJ, Silva CM, de S Cardoso JV, de O Morais PA. Advancing ethanol content determination in hydrogels: non-destructive and operational methods for health and criminal inspections. ANAL SCI 2024:10.1007/s44211-024-00617-4. [PMID: 38871978 DOI: 10.1007/s44211-024-00617-4] [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: 02/28/2024] [Accepted: 06/05/2024] [Indexed: 06/15/2024]
Abstract
The significance of accurate determination of ethanol content in hydrogel formulations was accentuated during COVID-19 pandemic coinciding with the heightened demand for sanitizing agents. The present article proposes three robust methodologies for this purpose: Fourier Transform Infrared Spectroscopy (FTIR), Raman spectroscopy, and Densitometry with matrix effect correction by Near-Infrared Spectroscopy (NIR). All three methods demonstrated outstanding linearity (R2 ≥ 0.99) and minimal errors (< 1.7%), offering simplicity and operational efficiency. FTIR and Raman, being non-destructive and requiring minimal preparation, enable practical on-site analysis capabilities, underscoring the potential of the spectroscopic methods to expedite health investigations and inspections, empowering on-site ethanol determination, and relieving the burden on official laboratories. Additionally, the densitometry with NIR-based approach showcased superior accuracy and precision compared to spectroscopic methods, meeting validation criteria while offering operational advantages over the costly official distillation-based method. Therefore, it stands as a reliable and reproducible technique for comprehensive health and criminal compliance assessments, making it a compelling alternative for both industry and official laboratories.
Collapse
Affiliation(s)
- Diego M de Souza
- Instituto de Criminalística, Polícia Civil do Distrito Federal, Brasília, DF, Brazil
| | - Lívia de B Salum
- Instituto de Criminalística, Polícia Civil do Distrito Federal, Brasília, DF, Brazil
| | - Robiedson R Damasceno
- Instituto de Criminalística, Polícia Civil do Distrito Federal, Brasília, DF, Brazil
| | | | - Camila M Silva
- Instituto de Química, Universidade de Brasília, Brasília, DF, Brazil
| | | | - Pedro A de O Morais
- Centro de Ciências de Chapadinha, Universidade Federal do Maranhão, Chapadinha, MA, Brazil.
| |
Collapse
|
6
|
Pypin AA, Shik AV, Stepanova IA, Doroshenko IA, Podrugina TA, Beklemishev MK. A Reaction-Based Optical Fingerprinting Strategy for the Recognition of Fat-Soluble Samples: Discrimination of Motor Oils. SENSORS (BASEL, SWITZERLAND) 2023; 23:7682. [PMID: 37765739 PMCID: PMC10535383 DOI: 10.3390/s23187682] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/28/2023] [Revised: 09/01/2023] [Accepted: 09/04/2023] [Indexed: 09/29/2023]
Abstract
Optical "fingerprints" are widely used for chemometrics-assisted recognition of samples of different types. An emerging trend in this area is the transition from obtaining "static" spectral data to reactions analyzed over time. Indicator reactions are usually carried out in aqueous solutions; in this study, we developed reactions that proceed in an organic solvent, thereby making it possible to recognize fat-soluble samples. In this capacity, we used 5W40, 10W40, and 5W30 motor oils from four manufacturers, with six samples in total. The procedure involved mixing a dye, sample, and reagents (HNO3, HCl, or tert-butyl hydroperoxide) in an ethanolic solution in a 96-well plate and measuring absorbance or near-infrared fluorescence intensity every several minutes for 20-55 min. The obtained photographic images were processed by linear discriminant analysis (LDA) and the k-nearest neighbors algorithm (kNN). Discrimination accuracy was evaluated by a validation procedure. A reaction of oxidation of a dye by nitric acid allowed us to recognize all six samples with 100% accuracy for LDA. Merging of data from the four reactions that did not provide complete discrimination ensured an accuracy of 93% for kNN. The newly developed indicator systems have good prospects for the discrimination of other fat-soluble samples. Overall, the results confirm the viability of the kinetics-based discrimination strategy.
Collapse
Affiliation(s)
| | | | | | | | | | - Mikhail K. Beklemishev
- Department of Chemistry, M.V. Lomonosov Moscow State University, GSP-1, Leninskie Gory 1–3, Moscow 119991, Russia; (A.A.P.); (A.V.S.); (I.A.S.); (I.A.D.); (T.A.P.)
| |
Collapse
|
7
|
Zhang JJ, Gao Y, Zhao ML, Xu X, Xi BN, Lin LK, Zheng JY, Chen B, Shu Y, Li C, Shen Y. Detection of walnut oil adulterated with high-linoleic acid vegetable oils using triacylglycerol pseudotargeted method based on SFC-QTOF-MS. Food Chem 2023; 416:135837. [PMID: 36905710 DOI: 10.1016/j.foodchem.2023.135837] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/26/2022] [Revised: 02/27/2023] [Accepted: 02/28/2023] [Indexed: 03/08/2023]
Abstract
Authentication of walnut oil (WO) is challenging due to the adulteration of high-linoleic acid vegetable oils (HLOs) with similar fatty acid composition. To allow the discrimination of WO adulteration, a rapid, sensitive and stable scanning method based on supercritical fluid chromatography quadrupole time-of-flight mass spectrometry (SFC-QTOF-MS) was established to profile 59 potential triacylglycerol (TAGs) in HLOs samples within 10 min. Limit of quantitation of the proposed method is 0.002 µg mL-1 and the relative standard deviations range from 0.7% to 12.0%. TAGs profiles of WO samples from various varieties, geography origins, ripeness, and processing methods were used to construct orthogonal partial least squares-discriminant analysis (OPLS-DA) and OPLS models that were highly accurate in both qualitative and quantitative prediction at adulteration levels as low as 5% (w/w). This study advances the TAGs analysis to characterize vegetable oils and holds promise as an efficient method for oil authentication.
Collapse
Affiliation(s)
- Jing-Jing Zhang
- School of Chemical Engineering, Northwest University, Xi'an, Shaanxi 710069, China.
| | - Yan Gao
- Key Laboratory of Synthetic and Natural Functional Molecule Chemistry of Ministry of Education, College of Chemistry and Materials Science, National Demonstration Center for Experimental Chemistry Education, Northwest University, Xi'an, Shaanxi 710127, China
| | - Mei-Ling Zhao
- Key Laboratory of Synthetic and Natural Functional Molecule Chemistry of Ministry of Education, College of Chemistry and Materials Science, National Demonstration Center for Experimental Chemistry Education, Northwest University, Xi'an, Shaanxi 710127, China
| | - Xiao Xu
- Key Laboratory of Synthetic and Natural Functional Molecule Chemistry of Ministry of Education, College of Chemistry and Materials Science, National Demonstration Center for Experimental Chemistry Education, Northwest University, Xi'an, Shaanxi 710127, China
| | - Bo-Nan Xi
- Key Laboratory of Synthetic and Natural Functional Molecule Chemistry of Ministry of Education, College of Chemistry and Materials Science, National Demonstration Center for Experimental Chemistry Education, Northwest University, Xi'an, Shaanxi 710127, China
| | - Li-Ke Lin
- Key Laboratory of Synthetic and Natural Functional Molecule Chemistry of Ministry of Education, College of Chemistry and Materials Science, National Demonstration Center for Experimental Chemistry Education, Northwest University, Xi'an, Shaanxi 710127, China
| | - Jing-Yi Zheng
- Key Laboratory of Synthetic and Natural Functional Molecule Chemistry of Ministry of Education, College of Chemistry and Materials Science, National Demonstration Center for Experimental Chemistry Education, Northwest University, Xi'an, Shaanxi 710127, China
| | - Bang Chen
- Key Laboratory of Synthetic and Natural Functional Molecule Chemistry of Ministry of Education, College of Chemistry and Materials Science, National Demonstration Center for Experimental Chemistry Education, Northwest University, Xi'an, Shaanxi 710127, China
| | - Yu Shu
- College of Food Science and Technology, Northwest University, Xi'an, Shaanxi 710069, China
| | - Cong Li
- Key Laboratory of Synthetic and Natural Functional Molecule Chemistry of Ministry of Education, College of Chemistry and Materials Science, National Demonstration Center for Experimental Chemistry Education, Northwest University, Xi'an, Shaanxi 710127, China.
| | - Yehua Shen
- Key Laboratory of Synthetic and Natural Functional Molecule Chemistry of Ministry of Education, College of Chemistry and Materials Science, National Demonstration Center for Experimental Chemistry Education, Northwest University, Xi'an, Shaanxi 710127, China.
| |
Collapse
|
8
|
Du Y, Chen F, Liu K, Chen C. Effect of Soybean Protein Concentrate Preparation on Copy Numbers and Structural Characteristics of DNA from Genetically Modified Soybean. Foods 2023; 12:foods12102031. [PMID: 37238848 DOI: 10.3390/foods12102031] [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: 03/26/2023] [Revised: 05/01/2023] [Accepted: 05/15/2023] [Indexed: 05/28/2023] Open
Abstract
To regulate the degradation of transgenic DNA and lay theoretical foundations for the rational utilization of genetically modified (GM) products, variations in copy numbers and structural characteristics of DNA from GM soybean event GTS 40-3-2 during soybean protein concentrate (SPC) preparation were evaluated. Results showed that defatting and the first ethanol extraction were key procedures inducing DNA degradation. After these two procedures, copy numbers of the lectin and cp4 epsps targets decreased by more than 4 × 108, occupying 36.88-49.30% of the total copy numbers from raw soybean. Atomic force microscopy images visually revealed the degradation of DNA that thinned and shortened during SPC preparation. Circular dichroism spectra suggested a lower helicity of DNA from defatted soybean kernel flour and a conformation transition of DNA from B-type to A-type after ethanol extraction. The fluorescence intensity of DNA decreased during SPC preparation, verifying the DNA damage along this preparation chain.
Collapse
Affiliation(s)
- Yan Du
- College of Food Science and Engineering, Henan University of Technology, Zhengzhou 450001, China
- National Engineering Research Center of Wheat and Corn Further Processing, Henan University of Technology, Zhengzhou 450001, China
| | - Fusheng Chen
- College of Food Science and Engineering, Henan University of Technology, Zhengzhou 450001, China
| | - Kunlun Liu
- College of Food Science and Engineering, Henan University of Technology, Zhengzhou 450001, China
| | - Chen Chen
- College of Food Science and Engineering, Henan University of Technology, Zhengzhou 450001, China
- College of Food Science and Nutritional Engineering, China Agricultural University, Beijing 100083, China
| |
Collapse
|
9
|
Aslam R, Sharma SR, Kaur J, Panayampadan AS, Dar OI. A systematic account of food adulteration and recent trends in the non-destructive analysis of food fraud detection. JOURNAL OF FOOD MEASUREMENT AND CHARACTERIZATION 2023. [DOI: 10.1007/s11694-023-01846-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/18/2023]
|
10
|
Argun MŞ, Kilinç B, Yazici E, Kilinç S, Yilmaz Y, Albayrak T. Investigation of the effects of wheat bran with enhanced functionality by nixtamalization on bread properties. J Cereal Sci 2022. [DOI: 10.1016/j.jcs.2022.103626] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
|
11
|
Wang XZ, Wu HL, Wang T, Chen AQ, Sun HB, Ding ZW, Chang HY, Yu RQ. Rapid identification and semi-quantification of adulteration in walnut oil by using excitation–emission matrix fluorescence spectroscopy coupled with chemometrics and ensemble learning. J Food Compost Anal 2022. [DOI: 10.1016/j.jfca.2022.105094] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
|
12
|
Quality control of woody edible oil: The application of fluorescence spectroscopy and the influencing factors of fluorescence. Food Control 2022. [DOI: 10.1016/j.foodcont.2022.109275] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
|
13
|
Machate DJ, Melo ESP, de Oliveira LCS, Bogo D, Michels FS, Pott A, Cavalheiro LF, Guimarães RDCA, Freitas KDC, Hiane PA, Caires ARL, Vilela MLB, Oliveira RJ, do Nascimento VA. Oxidative stability and elemental analysis of sunflower (Helianthus annuus) edible oil produced in Brazil using a domestic extraction machine. Front Nutr 2022; 9:977813. [PMID: 36245529 PMCID: PMC9563224 DOI: 10.3389/fnut.2022.977813] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2022] [Accepted: 09/07/2022] [Indexed: 11/13/2022] Open
Abstract
The consumption of regular vegetable oils has been linked to energy acquisition, nutritional benefits, health improvement, and the regulation of metabolic diseases. This study evaluated fatty acids composition, physicochemical, thermal, oxidative, and optical properties, and quantified trace elements in the sunflower oil extracted by a domestic cold-press machine. The oil presented linoleic (54.00%) and oleic (37.29%) primary unsaturated fatty acids (91.67%), in which atherogenic (0.05), thrombogenic (0.16), hypocholesterolemic/hypercholesterolemic (21.97), peroxide (16.16), saponification (141.80), and relative density indices (0.92) demonstrated to be suitable for human consumption and possible health promotion. In addition, the concentrations of trace elements by ICP OES were ordered Zn > Fe > Al > Cu > Mn > Cr. Concentrations of Zn, Fe, Al, Cu, and Mn were lower than FAO/WHO and DRI/AI limits, while Cr concentrations exceeded the FAO/WHO limits, which can be used as an indicator of the polluted ambiance. Sunflower oil quantities daily consumption were calculated by taking into account non-carcinogenic risk (CR < 10−4), and total non-carcinogenic hazard index (HI < 1). Based on trace elements determined in this study, the suitable quantity of sunflower oil consumption varies according to individuals aged 8, 18, and 30 years and will be deemed 0.61, 1.46, and 1.65 g/kg, respectively, attending HI = 0.99 and CR < 10−4.
Collapse
Affiliation(s)
- David Johane Machate
- Graduate Program in Materials Science, Federal University of Mato Grosso do Sul, Campo Grande, Brazil
| | - Elaine S. P. Melo
- Group of Spectroscopy and Bioinformatics Applied Biodiversity and Health (GEBABS), Graduate Program in Health and Development in the Central-West Region of Brazil, Federal University of Mato Grosso do Sul, Campo Grande, Brazil
| | | | - Danielle Bogo
- Post-graduate Program in Health and Development in the Mid-West Region, Federal University of Mato Grosso do Sul, Campo Grande, MS, Brazil
| | - Flávio S. Michels
- Optics and Photonics Group, Institute of Physics, Federal University of Mato Grosso do Sul, Campo Grande, MS, Brazil
| | - Arnildo Pott
- Graduate Program in Biotechnology and Biodiversity in the Central-West Region, Federal University of Mato Grosso do Sul, Campo Grande, MS, Brazil
| | - Leandro F. Cavalheiro
- Chemistry Institute, Federal University of Mato Grosso do Sul, Campo Grande, MS, Brazil
| | | | - Karine de Cássia Freitas
- Post-graduate Program in Health and Development in the Mid-West Region, Federal University of Mato Grosso do Sul, Campo Grande, MS, Brazil
| | - Priscila Aiko Hiane
- Post-graduate Program in Health and Development in the Mid-West Region, Federal University of Mato Grosso do Sul, Campo Grande, MS, Brazil
| | - Anderson R. L. Caires
- Optics and Photonics Group, Institute of Physics, Federal University of Mato Grosso do Sul, Campo Grande, MS, Brazil
| | - Marcelo Luiz Brandão Vilela
- Group of Spectroscopy and Bioinformatics Applied Biodiversity and Health (GEBABS), Graduate Program in Health and Development in the Central-West Region of Brazil, Federal University of Mato Grosso do Sul, Campo Grande, Brazil
| | - Rodrigo Juliano Oliveira
- Post-graduate Program in Health and Development in the Mid-West Region, Federal University of Mato Grosso do Sul, Campo Grande, MS, Brazil
| | - Valter Aragão do Nascimento
- Graduate Program in Materials Science, Federal University of Mato Grosso do Sul, Campo Grande, Brazil
- Group of Spectroscopy and Bioinformatics Applied Biodiversity and Health (GEBABS), Graduate Program in Health and Development in the Central-West Region of Brazil, Federal University of Mato Grosso do Sul, Campo Grande, Brazil
- *Correspondence: Valter Aragão do Nascimento
| |
Collapse
|
14
|
Pu K, Qiu J, Li J, Huang W, Lai X, Liu C, Lin Y, Ng KM. MALDI-TOF MS Protein Profiling Combined with Multivariate Analysis for Identification and Quantitation of Beef Adulteration. FOOD ANAL METHOD 2022. [DOI: 10.1007/s12161-022-02403-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
|
15
|
Argun MŞ. Functional Properties of Extracts from Wheat (
Triticum aestivum
L.) Coarse Bran and Shorts (Razmol) Obtained under Different Supercritical
CO
2
Extraction Conditions. J FOOD PROCESS PRES 2022. [DOI: 10.1111/jfpp.17065] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- Mustafa Şamil Argun
- Selçuk University Akşehir Faculty of Engineering and Architecture, Food Engineering Department Akşehir Konya Türkiye
| |
Collapse
|
16
|
Bian X, Wang Y, Wang S, Johnson JB, Sun H, Guo Y, Tan X. A Review of Advanced Methods for the Quantitative Analysis of Single Component Oil in Edible Oil Blends. Foods 2022; 11:foods11162436. [PMID: 36010436 PMCID: PMC9407567 DOI: 10.3390/foods11162436] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2022] [Revised: 08/04/2022] [Accepted: 08/11/2022] [Indexed: 12/21/2022] Open
Abstract
Edible oil blends are composed of two or more edible oils in varying proportions, which can ensure nutritional balance compared to oils comprising a single component oil. In view of their economical and nutritional benefits, quantitative analysis of the component oils in edible oil blends is necessary to ensure the rights and interests of consumers and maintain fairness in the edible oil market. Chemometrics combined with modern analytical instruments has become a main analytical technology for the quantitative analysis of edible oil blends. This review summarizes the different oil blend design methods, instrumental techniques and chemometric methods for conducting single component oil quantification in edible oil blends. The aim is to classify and compare the existing analytical techniques to highlight suitable and promising determination methods in this field.
Collapse
Affiliation(s)
- Xihui Bian
- School of Chemical Engineering and Technology, Tiangong University, Tianjin 300387, China
- Shandong Provincial Key Laboratory of Olefin Catalysis and Polymerization, Shandong Chambroad Holding Group Co., Ltd., Binzhou 256500, China
- Correspondence: ; Tel./Fax: +86-22-83955663
| | - Yao Wang
- School of Chemical Engineering and Technology, Tiangong University, Tianjin 300387, China
| | - Shuaishuai Wang
- Shandong Provincial Key Laboratory of Olefin Catalysis and Polymerization, Shandong Chambroad Holding Group Co., Ltd., Binzhou 256500, China
| | - Joel B. Johnson
- School of Health, Medical & Applied Sciences, Central Queensland University, Bruce Hwy, North Rockhampton, QLD 4701, Australia
| | - Hao Sun
- School of Chemical Engineering and Technology, Tiangong University, Tianjin 300387, China
| | - Yugao Guo
- School of Chemical Engineering and Technology, Tiangong University, Tianjin 300387, China
| | - Xiaoyao Tan
- School of Chemical Engineering and Technology, Tiangong University, Tianjin 300387, China
| |
Collapse
|
17
|
Zhang Y, Wu HL, Chen AQ, Dong MY, Wang T, Wang XZ, Yu YQ. Combination of excitation-emission matrix fluorescence spectroscopy and chemometric methods for the rapid identification of cheaper vegetable oil adulterated in walnut oil. JOURNAL OF FOOD MEASUREMENT AND CHARACTERIZATION 2022. [DOI: 10.1007/s11694-022-01536-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
|
18
|
Feasibility study on the use of ATR-FTIR spectroscopy as a tool for the estimation of wine polysaccharides. Carbohydr Polym 2022; 287:119365. [DOI: 10.1016/j.carbpol.2022.119365] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2022] [Revised: 03/02/2022] [Accepted: 03/14/2022] [Indexed: 11/18/2022]
|
19
|
Dou X, Zhang L, Yang R, Wang X, Yu L, Yue X, Ma F, Mao J, Wang X, Zhang W, Li P. Mass spectrometry in food authentication and origin traceability. MASS SPECTROMETRY REVIEWS 2022:e21779. [PMID: 35532212 DOI: 10.1002/mas.21779] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/28/2021] [Revised: 03/10/2022] [Accepted: 04/15/2022] [Indexed: 06/14/2023]
Abstract
Food authentication and origin traceability are popular research topics, especially as concerns about food quality continue to increase. Mass spectrometry (MS) plays an indispensable role in food authentication and origin traceability. In this review, the applications of MS in food authentication and origin traceability by analyzing the main components and chemical fingerprints or profiles are summarized. In addition, the characteristic markers for food authentication are also reviewed, and the advantages and disadvantages of MS-based techniques for food authentication, as well as the current trends and challenges, are discussed. The fingerprinting and profiling methods, in combination with multivariate statistical analysis, are more suitable for the authentication of high-value foods, while characteristic marker-based methods are more suitable for adulteration detection. Several new techniques have been introduced to the field, such as proton transfer reaction mass spectrometry, ambient ionization mass spectrometry (AIMS), and ion mobility mass spectrometry, for the determination of food adulteration due to their fast and convenient analysis. As an important trend, the miniaturization of MS offers advantages, such as small and portable instrumentation and fast and nondestructive analysis. Moreover, many applications in food authentication are using AIMS, which can help food authentication in food inspection/field analysis. This review provides a reference and guide for food authentication and traceability based on MS.
Collapse
Affiliation(s)
- Xinjing Dou
- Oil Crops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan, China
| | - Liangxiao Zhang
- Oil Crops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan, China
- Hubei Hongshan Laboratory, Wuhan, China
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture and Rural Affairs, Wuhan, China
- Laboratory of Quality and Safety Risk Assessment for Oilseed Products (Wuhan), Ministry of Agriculture and Rural Affairs, Wuhan, China
| | - Ruinan Yang
- Oil Crops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan, China
| | - Xiao Wang
- Oil Crops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan, China
| | - Li Yu
- Oil Crops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan, China
- Quality Inspection and Test Center for Oilseeds Products, Ministry of Agriculture and Rural Affairs, Wuhan, China
| | - Xiaofeng Yue
- Oil Crops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan, China
- Hubei Hongshan Laboratory, Wuhan, China
| | - Fei Ma
- Oil Crops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan, China
- Quality Inspection and Test Center for Oilseeds Products, Ministry of Agriculture and Rural Affairs, Wuhan, China
- Nanjing University of Finance and Economics, Collaborative Innovation Center for Modern Grain Circulation and Safety, Nanjing, China
| | - Jin Mao
- Oil Crops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan, China
- Hubei Hongshan Laboratory, Wuhan, China
- Laboratory of Quality and Safety Risk Assessment for Oilseed Products (Wuhan), Ministry of Agriculture and Rural Affairs, Wuhan, China
| | - Xiupin Wang
- Oil Crops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan, China
- Quality Inspection and Test Center for Oilseeds Products, Ministry of Agriculture and Rural Affairs, Wuhan, China
| | - Wen Zhang
- Oil Crops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan, China
- Quality Inspection and Test Center for Oilseeds Products, Ministry of Agriculture and Rural Affairs, Wuhan, China
- Nanjing University of Finance and Economics, Collaborative Innovation Center for Modern Grain Circulation and Safety, Nanjing, China
| | - Peiwu Li
- Oil Crops Research Institute, Chinese Academy of Agricultural Sciences, Wuhan, China
- Hubei Hongshan Laboratory, Wuhan, China
- Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture and Rural Affairs, Wuhan, China
- Laboratory of Quality and Safety Risk Assessment for Oilseed Products (Wuhan), Ministry of Agriculture and Rural Affairs, Wuhan, China
- Quality Inspection and Test Center for Oilseeds Products, Ministry of Agriculture and Rural Affairs, Wuhan, China
| |
Collapse
|
20
|
Evaluation of Portable Vibrational Spectroscopy Sensors as a Tool to Detect Black Cumin Oil Adulteration. Processes (Basel) 2022. [DOI: 10.3390/pr10030503] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
Black cumin oil adulteration has become a concern because it has numerous health benefits and a high price. Therefore, a simple, non-destructive, and rapid method to identify adulterations in black seed oil is necessary to protect the quality of the oils. This study aimed to perform a non-invasive method to authenticate black cumin oil by portable FT-NIR, FT-MIR, and Raman spectrometers. Spectra were collected with portable devices and analyzed using Soft Independent Modelling of Class Analogy (SIMCA) to generate a classification model to identify pure black cumin oil and partial least squares regression (PLSR) to predict the adulterant levels. For confirmation, the fatty acid profile of the oils was determined by gas chromatography (GC). SIMCA and PLSR models provided a very high performance in detecting adulterated samples in all portable units. These portable units showed great potential for rapid and non-destructive monitoring to identify adulterated black cumin oils.
Collapse
|
21
|
Hama JR, Fitzsimmons-Thoss V. Determination of Unsaturated Fatty Acids Composition in Walnut (Juglans regia L.) Oil Using NMR Spectroscopy. FOOD ANAL METHOD 2022. [DOI: 10.1007/s12161-021-02203-0] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/14/2023]
|
22
|
Evaluation of Olive Oil Quality with Electrochemical Sensors and Biosensors: A Review. Int J Mol Sci 2021; 22:ijms222312708. [PMID: 34884509 PMCID: PMC8657724 DOI: 10.3390/ijms222312708] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2021] [Revised: 11/19/2021] [Accepted: 11/23/2021] [Indexed: 01/11/2023] Open
Abstract
Electrochemical sensors, sensor arrays and biosensors, alongside chemometric instruments, have progressed remarkably of late, being used on a wide scale in the qualitative and quantitative evaluation of olive oil. Olive oil is a natural product of significant importance, since it is a rich source of bioactive compounds with nutritional and therapeutic properties, and its quality is important both for consumers and for distributors. This review aims at analysing the progress reported in the literature regarding the use of devices based on electrochemical (bio)sensors to evaluate the bioactive compounds in olive oil. The main advantages and limitations of these approaches on construction technique, analysed compounds, calculus models, as well as results obtained, are discussed in view of estimation of future progress related to achieving a portable, practical and rapid miniature device for analysing the quality of virgin olive oil (VOO) at different stages in the manufacturing process.
Collapse
|
23
|
Sudhakar A, Chakraborty SK, Mahanti NK, Varghese C. Advanced techniques in edible oil authentication: A systematic review and critical analysis. Crit Rev Food Sci Nutr 2021; 63:873-901. [PMID: 34347552 DOI: 10.1080/10408398.2021.1956424] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Abstract
Adulteration of edible substances is a potent contemporary food safety issue. Perhaps the overt concern derives from the fact that adulterants pose serious ill effects on human health. Edible oils are one of the most adulterated food products. Perpetrators are adopting ways and means that effectively masks the presence of the adulterants from human organoleptic limits and traditional oil adulteration detection techniques. This review embodies a detailed account of chemical, biosensors, chromatography, spectroscopy, differential scanning calorimetry, non-thermal plasma, dielectric spectroscopy research carried out in the area of falsification assessment of edible oils for the past three decades and a collection of patented oil adulteration detection techniques. The detection techniques reviewed have some advantages and certain limitations, chemical tests are simple; biosensors and nuclear magnetic resonance are rapid but have a low sensitivity; chromatography and spectroscopy are highly accurate with a deterring price tag; dielectric spectroscopy is rapid can be portable and has on-line compatibility; however, the results are susceptible to variation of electric current frequency and intrinsic factors (moisture, temperature, structural composition). This review paper can be useful for scientists or for knowledge seekers eager to be abreast with edible oil adulteration detection techniques.
Collapse
Affiliation(s)
- Anjali Sudhakar
- Agro Produce Processing Division, ICAR-Central Institute of Agricultural Engineering, Bhopal, India
| | - Subir Kumar Chakraborty
- Agro Produce Processing Division, ICAR-Central Institute of Agricultural Engineering, Bhopal, India
| | - Naveen Kumar Mahanti
- Agro Produce Processing Division, ICAR-Central Institute of Agricultural Engineering, Bhopal, India
| | - Cinu Varghese
- Rural Development Centre, Indian Institute of Technology, Kharagpur, India
| |
Collapse
|
24
|
Mburu M, Komu C, Paquet-Durand O, Hitzmann B, Zettel V. Chia Oil Adulteration Detection Based on Spectroscopic Measurements. Foods 2021; 10:foods10081798. [PMID: 34441575 PMCID: PMC8392156 DOI: 10.3390/foods10081798] [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: 06/30/2021] [Revised: 07/28/2021] [Accepted: 08/03/2021] [Indexed: 10/28/2022] Open
Abstract
Chia oil is a valuable source of omega-3-fatty acids and other nutritional components. However, it is expensive to produce and can therefore be easily adulterated with cheaper oils to improve the profit margins. Spectroscopic methods are becoming more and more common in food fraud detection. The aim of this study was to answer following questions: Is it possible to detect chia oil adulteration by spectroscopic analysis of the oils? Is it possible to identify the adulteration oil? Is it possible to determine the amount of adulteration? Two chia oils from local markets were adulterated with three common food oils, including sunflower, rapeseed and corn oil. Subsequently, six chia oils obtained from different sites in Kenya were adulterated with sunflower oil to check the results. Raman, NIR and fluorescence spectroscopy were applied for the analysis. It was possible to detect the amount of adulterated oils by spectroscopic analysis, with a minimum R2 of 0.95 for the used partial least square regression with a maximum RMSEPrange of 10%. The adulterations of chia oils by rapeseed, sunflower and corn oil were identified by classification with a median true positive rate of 90%. The training accuracies, sensitivity and specificity of the classifications were over 90%. Chia oil B was easier to detect. The adulterated samples were identified with a precision of 97%. All of the classification methods show good results, however SVM were the best. The identification of the adulteration oil was possible; less than 5% of the adulteration oils were difficult to detect. In summary, spectroscopic analysis of chia oils might be a useful tool to identify adulterations.
Collapse
Affiliation(s)
- Monica Mburu
- Institute of Food Bioresources Technology, Dedan Kimathi University of Technology, Private Bag, Dedan Kimathi, Nyeri 10143, Kenya; (M.M.); (C.K.)
| | - Clement Komu
- Institute of Food Bioresources Technology, Dedan Kimathi University of Technology, Private Bag, Dedan Kimathi, Nyeri 10143, Kenya; (M.M.); (C.K.)
| | - Olivier Paquet-Durand
- Department of Process Analytics and Cereal Science, Institute of Food Science and Biotechnology, University of Hohenheim, Garbenstr. 23, 70599 Stuttgart, Germany; (O.P.-D.); (B.H.)
| | - Bernd Hitzmann
- Department of Process Analytics and Cereal Science, Institute of Food Science and Biotechnology, University of Hohenheim, Garbenstr. 23, 70599 Stuttgart, Germany; (O.P.-D.); (B.H.)
| | - Viktoria Zettel
- Department of Process Analytics and Cereal Science, Institute of Food Science and Biotechnology, University of Hohenheim, Garbenstr. 23, 70599 Stuttgart, Germany; (O.P.-D.); (B.H.)
- Correspondence: ; Tel.: +49-711-459-24460
| |
Collapse
|
25
|
Zhang L, Wu S, Jin X. Fatty Acid Stable Carbon Isotope Ratios Combined with Oxidation Kinetics for Characterization and Authentication of Walnut Oils. JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY 2021; 69:6701-6709. [PMID: 34100285 DOI: 10.1021/acs.jafc.1c01843] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/12/2023]
Abstract
Walnut oil is vulnerable to oxidation due to its high content of polyunsaturated fatty acids and adulteration due to its high price. This study investigated 12 typical walnut oils from six main walnut-producing areas in China, using differential scanning calorimetry (DSC), Rancimat test, gas chromatography (GC), elemental analyzer-isotope ratio mass spectrometry (EA-IRMS) and GC-IRMS combined with oxidation kinetic analysis, Pearson correlation analysis, and principal component analysis (PCA). The melting and crystallization profiles using DSC indicated that walnut oils with a relatively high crystal onset temperature tended to be more stable against oxidation. Oleic acid was found to be the most characteristic fatty acid in walnut oil, with a content ranging from 13.84 to 35.08%. Two walnut oils with the highest oleic acid contents of 35.08 and 32.78% had the highest activation energies in nonisothermal DSC. Their predicted shelf lives based on the Rancimat test were 3.5-4.0 times longer than that of the oil with the highest α-linolenic acid at 4 °C and 3.1-3.5 times longer at 25 °C. The δ13C values of walnut oils were determined by EA-IRMS, and the δ13C values of fatty acids were determined by GC-IRMS. Fatty acid stable carbon isotope ratios combined with PCA were successfully applied to intuitively discriminate different walnut oils. The results suggested that fatty acid δ13C values determined by IRMS combined with chemometrics and lipid compositions are promising as a powerful means of vegetable oil authentication and discrimination.
Collapse
Affiliation(s)
- Limin Zhang
- Department of Food Science and Technology, School of Agriculture and Biology, Shanghai Jiao Tong University, 800 Dongchuan Road, Shanghai 200240, China
| | - Shimin Wu
- Department of Food Science and Technology, School of Agriculture and Biology, Shanghai Jiao Tong University, 800 Dongchuan Road, Shanghai 200240, China
| | - Xinyu Jin
- Department of Food Science and Technology, School of Agriculture and Biology, Shanghai Jiao Tong University, 800 Dongchuan Road, Shanghai 200240, China
| |
Collapse
|
26
|
Kalogiouri NP, Manousi N, Rosenberg E, Zachariadis GA, Paraskevopoulou A, Samanidou V. Exploring the volatile metabolome of conventional and organic walnut oils by solid-phase microextraction and analysis by GC-MS combined with chemometrics. Food Chem 2021; 363:130331. [PMID: 34139518 DOI: 10.1016/j.foodchem.2021.130331] [Citation(s) in RCA: 28] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2021] [Revised: 06/03/2021] [Accepted: 06/07/2021] [Indexed: 01/17/2023]
Abstract
It is challenging to establish a correlation between the agronomical practices and the volatile profile of high-value agricultural products. In this study, the volatile metabolome of walnut oils from conventional and organic farming type was explored by HS-SPME-GC-MS. The SPME protocol was optimized after evaluating the effects of extraction time, extraction temperature, and sample mass. The optimum parameters involved the extraction of 0.500 g walnut oil at 40 °C within 60 min. Twenty Greek walnut oils produced with conventional and organic farming were analyzed and 41 volatile compounds were identified. The determined compounds were semi-quantified, and further processed with chemometrics. Agglomerative hierarchical clustering (AHC) and principal component analysis (PCA) were used. A robust classification model was developed using sparse partial least squares-discriminant analysis (sPLS-DA) for the discrimination of walnut oils into conventional and organic, establishing volatile markers that could be used to guarantee the type of farming.
Collapse
Affiliation(s)
- Natasa P Kalogiouri
- Laboratory of Analytical Chemistry, Department of Chemistry, Aristotle University of Thessaloniki, Greece
| | - Natalia Manousi
- Laboratory of Analytical Chemistry, Department of Chemistry, Aristotle University of Thessaloniki, Greece.
| | - Erwin Rosenberg
- Institute of Chemical Technologies and Analytics, Vienna University of Technology, 1060 Vienna, Austria.
| | - George A Zachariadis
- Laboratory of Analytical Chemistry, Department of Chemistry, Aristotle University of Thessaloniki, Greece
| | - Adamantini Paraskevopoulou
- Laboratory of Food Chemistry and Technology, Department of Chemistry, Aristotle University of Thessaloniki, Greece.
| | - Victoria Samanidou
- Laboratory of Analytical Chemistry, Department of Chemistry, Aristotle University of Thessaloniki, Greece.
| |
Collapse
|
27
|
Mousa MAA, Wang Y, Antora SA, Al-Qurashi AD, Ibrahim OHM, He HJ, Liu S, Kamruzzaman M. An overview of recent advances and applications of FT-IR spectroscopy for quality, authenticity, and adulteration detection in edible oils. Crit Rev Food Sci Nutr 2021; 62:8009-8027. [PMID: 33977844 DOI: 10.1080/10408398.2021.1922872] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
Abstract
Authenticity and adulteration detection are primary concerns of various stakeholders, such as researchers, consumers, manufacturers, traders, and regulatory agencies. Traditional approaches for authenticity and adulteration detection in edible oils are time-consuming, complicated, laborious, and expensive; they require technical skills when interpreting the data. Over the last several years, much effort has been spent in academia and industry on developing vibrational spectroscopic techniques for quality, authenticity, and adulteration detection in edible oils. Among them, Fourier transforms infrared (FT-IR) spectroscopy has gained enormous attention as a green analytical technique for the rapid monitoring quality of edible oils at all stages of production and for detecting and quantifying adulteration and authenticity in edible oils. The technique has several benefits such as rapid, precise, inexpensive, and multi-analytical; hence, several parameters can be predicted simultaneously from the same spectrum. Associated with chemometrics, the technique has been successfully implemented for the rapid detection of adulteration and authenticity in edible oils. After presenting the fundamentals, the latest research outcomes in the last 10 years on quality, authenticity, and adulteration detection in edible oils using FT-IR spectroscopy will be highlighted and described in this review. Additionally, opportunities, challenges, and future trends of FT-IR spectroscopy will also be discussed.
Collapse
Affiliation(s)
- Magdi A A Mousa
- Department of Arid Land Agriculture, Faculty of Meteorology, Environment and Arid Land Agriculture, King Abdulaziz University, Jeddah, Saudi Arabia.,Department of Vegetables, Faculty of Agriculture, Assiut University, Assiut, Egypt
| | - Yangyang Wang
- School of Food Science, Henan Institute of Science and Technology, Xinxiang, China
| | - Salma Akter Antora
- Department of Biological Engineering, University of Missouri, Columbia, Missouri, USA
| | - Adel D Al-Qurashi
- Department of Arid Land Agriculture, Faculty of Meteorology, Environment and Arid Land Agriculture, King Abdulaziz University, Jeddah, Saudi Arabia
| | - Omer H M Ibrahim
- Department of Arid Land Agriculture, Faculty of Meteorology, Environment and Arid Land Agriculture, King Abdulaziz University, Jeddah, Saudi Arabia.,Department of Ornamental Plants and Landscape Gardening, Faculty of Agriculture, Assiut University, Egypt
| | - Hong-Ju He
- School of Life Science and Technology, Henan Institute of Science and Technology, Xinxiang, China
| | - Shu Liu
- Department of Environmental Science and Engineering, School of Space and Environment, Beihang University, Beijing, China
| | - Mohammed Kamruzzaman
- Department of Agricultural and Biological Engineering, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA
| |
Collapse
|
28
|
Zareef M, Arslan M, Mehedi Hassan M, Ali S, Ouyang Q, Li H, Wu X, Muhammad Hashim M, Javaria S, Chen Q. Application of benchtop NIR spectroscopy coupled with multivariate analysis for rapid prediction of antioxidant properties of walnut (Juglans regia). Food Chem 2021; 359:129928. [PMID: 33957331 DOI: 10.1016/j.foodchem.2021.129928] [Citation(s) in RCA: 26] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2020] [Revised: 04/17/2021] [Accepted: 04/19/2021] [Indexed: 11/26/2022]
Abstract
Benchtop near-infrared (NIR) spectroscopy coupled with multivariate analysis was used for the classification and prediction of antioxidant properties of walnut. Total phenolic content (TPC), total flavonoid content (TFC), ABTS assay and FRAP assay were performed spectrophotometrically. The synergy interval partial least square coupled competitive adaptive reweighted sampling (Si-CARS-PLS) was used for the prediction. A decent discrimination using principal component analysis (PCA) was observed by mean of spectroscopic and antioxidant properties data with total cumulative variance of 99.26% (PC1 = 95.07%, PC2 = 2.98%, PC3 = 1.21%) and 96.60% (PC1 = 64.28%, PC2 = 32.32%) respectively. The Si-CARS-PLS yielded optimal performance, RP = 0.9616, RPD = 3.807 for TPC, RP = 0.9657, RPD = 3.367 for TFC, RP = 0.9683, RPD = 2.728 for ABTS assay, and RP = 0.914, RPD = 2.669 for FRAP assay. These findings revealed that NIR integrated with Si-CARS-PLS could be used for the prediction of antioxidant properties of walnut.
Collapse
Affiliation(s)
- Muhammad Zareef
- School of Food and Biological Engineering Jiangsu University, Xuefu Road 301, Zhenjiang 213013, China
| | - Muhammad Arslan
- School of Food and Biological Engineering Jiangsu University, Xuefu Road 301, Zhenjiang 213013, China
| | - Md Mehedi Hassan
- School of Food and Biological Engineering Jiangsu University, Xuefu Road 301, Zhenjiang 213013, China
| | - Shujat Ali
- School of Food and Biological Engineering Jiangsu University, Xuefu Road 301, Zhenjiang 213013, China; College of Electrical and Electronic Engineering, Wenzhou University, Wenzhou 325035, China
| | - Qin Ouyang
- School of Food and Biological Engineering Jiangsu University, Xuefu Road 301, Zhenjiang 213013, China.
| | - Huanhuan Li
- School of Food and Biological Engineering Jiangsu University, Xuefu Road 301, Zhenjiang 213013, China
| | - Xiangyang Wu
- School of Environment and Safety Engineering Jiangsu University, Xuefu Road 301, Zhenjiang 213013, China
| | | | - Sadaf Javaria
- Institute of Food Science and Nutrition, Gomal University D.I Khan, Pakistan
| | - Quansheng Chen
- School of Food and Biological Engineering Jiangsu University, Xuefu Road 301, Zhenjiang 213013, China.
| |
Collapse
|
29
|
Watermann S, Schmitt C, Schneider T, Hackl T. Comparison of Regular, Pure Shift, and Fast 2D NMR Experiments for Determination of the Geographical Origin of Walnuts. Metabolites 2021; 11:metabo11010039. [PMID: 33429871 PMCID: PMC7827277 DOI: 10.3390/metabo11010039] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2020] [Revised: 01/05/2021] [Accepted: 01/06/2021] [Indexed: 11/16/2022] Open
Abstract
1H NMR spectroscopy, in combination with chemometric methods, was used to analyze the methanol/acetonitrile (1:1) extract of walnut (Juglans Regia L.) regarding the geographical origin of 128 authentic samples from different countries (France, Germany, China) and harvest years (2016–2019). Due to the large number of different metabolites within the acetonitrile/methanol extract, the one-dimensional (1D) 1H NOESY (nuclear Overhauser effect spectroscopy) spectra suffer from strongly overlapping signals. The identification of specific metabolites and statistical analysis are complicated. The use of pure shift 1H NMR spectra such as PSYCHE (pure shift yielded by chirp excitation) or two-dimensional ASAP-HSQC (acceleration by sharing adjacent polarization-heteronuclear single quantum correlation) spectra for multivariate analysis to determine the geographical origin of foods may be a promising method. Different types of NMR spectra (1D 1H NOESY, PSYCHE, and ASAP-HSQC) were acquired for each of the 128 walnut samples and the results of the statistical analysis were compared. A support vector machine classifier was applied for differentiation of samples from Germany/China, France/Germany, and France/China. The models obtained by conduction of a repeated nested cross-validation showed accuracies from 58.9% (±1.3%) to 95.9% (±0.8%). The potential of the 1H-13C HSQC as a 2D NMR experiment for metabolomics studies was shown.
Collapse
Affiliation(s)
- Stephanie Watermann
- Institute of Organic Chemistry, University of Hamburg, Martin-Luther-King-Platz 6, 20146 Hamburg, Germany; (S.W.); (C.S.); (T.S.)
| | - Caroline Schmitt
- Institute of Organic Chemistry, University of Hamburg, Martin-Luther-King-Platz 6, 20146 Hamburg, Germany; (S.W.); (C.S.); (T.S.)
| | - Tobias Schneider
- Institute of Organic Chemistry, University of Hamburg, Martin-Luther-King-Platz 6, 20146 Hamburg, Germany; (S.W.); (C.S.); (T.S.)
| | - Thomas Hackl
- Institute of Organic Chemistry, University of Hamburg, Martin-Luther-King-Platz 6, 20146 Hamburg, Germany; (S.W.); (C.S.); (T.S.)
- Hamburg School of Food Science—Institute of Food Chemistry, University of Hamburg, Grindelallee 117, 20146 Hamburg, Germany
- Correspondence: ; Tel.: +49-40-42838-2804
| |
Collapse
|
30
|
Genis HE, Durna S, Boyaci IH. Determination of green pea and spinach adulteration in pistachio nuts using NIR spectroscopy. Lebensm Wiss Technol 2021. [DOI: 10.1016/j.lwt.2020.110008] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
|
31
|
Schmitt C, Schneider T, Rumask L, Fischer M, Hackl T. Food Profiling: Determination of the Geographical Origin of Walnuts by 1H NMR Spectroscopy Using the Polar Extract. JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY 2020; 68:15526-15534. [PMID: 33322897 DOI: 10.1021/acs.jafc.0c05827] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/12/2023]
Abstract
Walnuts, with their health-promoting ingredients, are among the most popular nuts, and practicable methods for determining their geographical origin are needed to tackle food fraud. Authentic walnut samples (235, Juglans Regia L.) from different harvest years (2016-2019) and countries were analyzed by 1H NMR spectroscopy in combination with chemometric methods to determine their geographical origin. Two sample groups were analyzed at a time with a support vector machine algorithm to obtain two-class classifier models. In total, nine two-class models were built (e.g., Germany/China, France/Germany, and USA/Switzerland), and a repeated nested cross-validation was performed. The models obtained showed high accuracies from 78.0% (±2.3%) to 96.6% (±0.6%). Furthermore, identification of potential chemical markers in the walnut extract was performed.
Collapse
Affiliation(s)
- Caroline Schmitt
- Institute of Organic Chemistry, University of Hamburg, Martin-Luther-King-Platz 6, Hamburg 20146, Germany
| | - Tobias Schneider
- Institute of Organic Chemistry, University of Hamburg, Martin-Luther-King-Platz 6, Hamburg 20146, Germany
| | - Laura Rumask
- HAMBURG SCHOOL OF FOOD SCIENCE-Institute of Food Chemistry, University of Hamburg, Grindelallee 117, Hamburg 20146, Germany
| | - Markus Fischer
- HAMBURG SCHOOL OF FOOD SCIENCE-Institute of Food Chemistry, University of Hamburg, Grindelallee 117, Hamburg 20146, Germany
| | - Thomas Hackl
- Institute of Organic Chemistry, University of Hamburg, Martin-Luther-King-Platz 6, Hamburg 20146, Germany
- HAMBURG SCHOOL OF FOOD SCIENCE-Institute of Food Chemistry, University of Hamburg, Grindelallee 117, Hamburg 20146, Germany
| |
Collapse
|
32
|
Balan B, Dhaulaniya AS, Jamwal R, Yadav A, Kelly S, Cannavan A, Singh DK. Rapid detection and quantification of sucrose adulteration in cow milk using Attenuated total reflectance-Fourier transform infrared spectroscopy coupled with multivariate analysis. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2020; 240:118628. [PMID: 32599485 DOI: 10.1016/j.saa.2020.118628] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/20/2020] [Revised: 06/12/2020] [Accepted: 06/14/2020] [Indexed: 06/11/2023]
Abstract
Adulteration of milk to gain economic benefit has become a common practice in recent years. Sucrose is illegally added in milk to reconstitute its compositional requirement by improving the total solid contents. The present study is aimed to use FTIR spectroscopy in combination with multivariate chemometric modelling for the differentiation and quantification of sucrose in cow milk. Pure milk and adulterated milk spectra (0.5-7.5% w/v) were observed in the spectral region 4000-400 cm-1. Principal component analysis (PCA) was used for the discrimination of pure milk and adulterated milk. Soft independent modelling of class analogy (SIMCA) was able to classify test samples with a classification efficiency of 100%. Partial least square regression (PLS-R) and principle component regression (PCR) models were established for normal spectra, 1st derivative and 2nd derivative for the quantification of sucrose in milk. PLS-R model (normal spectra) in the combined wavenumber range of 1070-980 cm-1 showed the best prediction based on parameters like coefficient of determination (R2) (Cal: 0.996; Val: 0.993), RMSE (Cal: 0.15% w/v; Val: 0.20% w/v), RE% (Cal: 4.9% w/v; Val: 5.1% w/v) and RPD (13.40). This method has a detection level of 0.5% w/v sucrose adulteration.
Collapse
Affiliation(s)
- Biji Balan
- Soil Microbial Ecology and Environment Toxicology Laboratory, Department of Zoology, University of Delhi, Delhi 110007, India
| | - Amit S Dhaulaniya
- Soil Microbial Ecology and Environment Toxicology Laboratory, Department of Zoology, University of Delhi, Delhi 110007, India
| | - Rahul Jamwal
- Soil Microbial Ecology and Environment Toxicology Laboratory, Department of Zoology, University of Delhi, Delhi 110007, India
| | - Amit Yadav
- Soil Microbial Ecology and Environment Toxicology Laboratory, Department of Zoology, University of Delhi, Delhi 110007, India
| | - Simon Kelly
- Food and Environmental Protection Laboratory, International Atomic Energy Agency, Vienna International Centre, Vienna, Austria
| | - Andrew Cannavan
- Seibersdorf Laboratory, International Atomic Energy Agency, Vienna International Centre, Vienna, Austria
| | - Dileep K Singh
- Soil Microbial Ecology and Environment Toxicology Laboratory, Department of Zoology, University of Delhi, Delhi 110007, India.
| |
Collapse
|
33
|
Chemometric Strategies for Spectroscopy-Based Food Authentication. APPLIED SCIENCES-BASEL 2020. [DOI: 10.3390/app10186544] [Citation(s) in RCA: 41] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
Abstract
In the last decades, spectroscopic techniques have played an increasingly crucial role in analytical chemistry, due to the numerous advantages they offer. Several of these techniques (e.g., Near-InfraRed—NIR—or Fourier Transform InfraRed—FT-IR—spectroscopy) are considered particularly valuable because, by means of suitable equipment, they enable a fast and non-destructive sample characterization. This aspect, together with the possibility of easily developing devices for on- and in-line applications, has recently favored the diffusion of such approaches especially in the context of foodstuff quality control. Nevertheless, the complex nature of the signal yielded by spectroscopy instrumentation (regardless of the spectral range investigated) inevitably calls for the use of multivariate chemometric strategies for its accurate assessment and interpretation. This review aims at providing a comprehensive overview of some of the chemometric tools most commonly exploited for spectroscopy-based foodstuff analysis and authentication. More in detail, three different scenarios will be surveyed here: data exploration, calibration and classification. The main methodologies suited to addressing each one of these different tasks will be outlined and examples illustrating their use will be provided alongside their description.
Collapse
|
34
|
A Brief History of Whiskey Adulteration and the Role of Spectroscopy Combined with Chemometrics in the Detection of Modern Whiskey Fraud. BEVERAGES 2020. [DOI: 10.3390/beverages6030049] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Abstract
Food fraud and adulteration is a major concern in terms of economic and public health. Multivariate methods combined with spectroscopic techniques have shown promise as a novel analytical strategy for addressing issues related to food fraud that cannot be solved by the analysis of one variable, particularly in complex matrices such distilled beverages. This review describes and discusses different aspects of whisky production, and recent developments of laboratory, in field and high throughput analysis. In particular, recent applications detailing the use of vibrational spectroscopy techniques combined with data analytical methods used to not only distinguish between brand and origin of whisky but to also detect adulteration are presented.
Collapse
|
35
|
Arendse E, Nieuwoudt H, Magwaza LS, Nturambirwe JFI, Fawole OA, Opara UL. Recent Advancements on Vibrational Spectroscopic Techniques for the Detection of Authenticity and Adulteration in Horticultural Products with a Specific Focus on Oils, Juices and Powders. FOOD BIOPROCESS TECH 2020. [DOI: 10.1007/s11947-020-02505-x] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/01/2022]
|
36
|
Li S, Ng TT, Yao ZP. Quantitative analysis of blended oils by matrix-assisted laser desorption/ionization mass spectrometry and partial least squares regression. Food Chem 2020; 334:127601. [PMID: 32712491 DOI: 10.1016/j.foodchem.2020.127601] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2020] [Revised: 07/12/2020] [Accepted: 07/14/2020] [Indexed: 11/18/2022]
Abstract
Quantitative labeling of oil compositions has become a trend to ensure the quality and safety of blended oils in the market. However, methods for rapid and reliable quantitation of blended oils are still not available. In this study, matrix-assisted laser desorption/ionization mass spectrometry (MALDI-MS) was used to profile triacylglycerols in blended oils, and partial least squares regression (PLS-R) was applied to establish quantitative models based on the acquired MALDI-MS spectra. We demonstrated that this new method allowed simultaneous quantitation of multiple compositions, and provided good quantitative results of binary, ternary and quaternary blended oils, enabling good limits of detection (e.g., detectability of 1.5% olive oil in sunflower seed oil). Compared with the conventional GC-FID method, this new method could allow direct analysis of blended oils, analysis of one blended oil sample within minutes, and accurate quantitation of low-abundance oil compositions and blended oils with similar fatty acid contents.
Collapse
Affiliation(s)
- Suying Li
- State Key Laboratory of Chemical Biology and Drug Discovery, Food Safety and Technology Research Centre and Department of Applied Biology and Chemical Technology, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong Special Administrative Region, China; State Key Laboratory of Chinese Medicine and Molecular Pharmacology (Incubation) and Shenzhen Key Laboratory of Food Biological Safety Control, Shenzhen Research Institute of Hong Kong Polytechnic University, Shenzhen 518057, China
| | - Tsz-Tsun Ng
- State Key Laboratory of Chemical Biology and Drug Discovery, Food Safety and Technology Research Centre and Department of Applied Biology and Chemical Technology, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong Special Administrative Region, China; State Key Laboratory of Chinese Medicine and Molecular Pharmacology (Incubation) and Shenzhen Key Laboratory of Food Biological Safety Control, Shenzhen Research Institute of Hong Kong Polytechnic University, Shenzhen 518057, China
| | - Zhong-Ping Yao
- State Key Laboratory of Chemical Biology and Drug Discovery, Food Safety and Technology Research Centre and Department of Applied Biology and Chemical Technology, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong Special Administrative Region, China; State Key Laboratory of Chinese Medicine and Molecular Pharmacology (Incubation) and Shenzhen Key Laboratory of Food Biological Safety Control, Shenzhen Research Institute of Hong Kong Polytechnic University, Shenzhen 518057, China.
| |
Collapse
|
37
|
He Y, Bai X, Xiao Q, Liu F, Zhou L, Zhang C. Detection of adulteration in food based on nondestructive analysis techniques: a review. Crit Rev Food Sci Nutr 2020; 61:2351-2371. [PMID: 32543218 DOI: 10.1080/10408398.2020.1777526] [Citation(s) in RCA: 36] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/14/2023]
Abstract
In recent years, people pay more and more attention to food quality and safety, which are significantly relating to human health. Food adulteration is a world-wide concerned issue relating to food quality and safety, and it is difficult to be detected. Modern detection techniques (high performance liquid chromatography, gas chromatography-mass spectrometer, etc.) can accurately identify the types and concentrations of adulterants in different food types. However, the characteristics as expensive, low efficient and complex sample preparation and operation limit the use of these techniques. The rapid, nondestructive and accurate detection techniques of food adulteration is of great and urgent demand. This paper introduced the principles, advantages and disadvantages of the nondestructive analysis techniques and reviewed the applications of these techniques in food adulteration screen in recent years. Differences among these techniques, differences on data interpretation and future prospects were also discussed.
Collapse
Affiliation(s)
- Yong He
- College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou, Zhejiang, China.,Ministry of Agriculture and Rural Affairs, Key Laboratory of Spectroscopy Sensing, Hangzhou, Zhejiang, China
| | - Xiulin Bai
- College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou, Zhejiang, China.,Ministry of Agriculture and Rural Affairs, Key Laboratory of Spectroscopy Sensing, Hangzhou, Zhejiang, China
| | - Qinlin Xiao
- College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou, Zhejiang, China.,Ministry of Agriculture and Rural Affairs, Key Laboratory of Spectroscopy Sensing, Hangzhou, Zhejiang, China
| | - Fei Liu
- College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou, Zhejiang, China.,Ministry of Agriculture and Rural Affairs, Key Laboratory of Spectroscopy Sensing, Hangzhou, Zhejiang, China
| | - Lei Zhou
- College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou, Zhejiang, China.,Ministry of Agriculture and Rural Affairs, Key Laboratory of Spectroscopy Sensing, Hangzhou, Zhejiang, China
| | - Chu Zhang
- College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou, Zhejiang, China.,Ministry of Agriculture and Rural Affairs, Key Laboratory of Spectroscopy Sensing, Hangzhou, Zhejiang, China
| |
Collapse
|
38
|
Alamar PD, Caramês ETS, Poppi RJ, Pallone JAL. Detection of Fruit Pulp Adulteration Using Multivariate Analysis: Comparison of NIR, MIR and Data Fusion Performance. FOOD ANAL METHOD 2020. [DOI: 10.1007/s12161-020-01755-x] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
|
39
|
Han J, Sun R, Zeng X, Zhang J, Xing R, Sun C, Chen Y. Rapid Classification and Quantification of Camellia ( Camellia oleifera Abel.) Oil Blended with Rapeseed Oil Using FTIR-ATR Spectroscopy. Molecules 2020; 25:molecules25092036. [PMID: 32349404 PMCID: PMC7248856 DOI: 10.3390/molecules25092036] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2020] [Revised: 04/23/2020] [Accepted: 04/24/2020] [Indexed: 11/16/2022] Open
Abstract
Currently, the authentication of camellia oil (CAO) has become very important due to the possible adulteration of CAO with cheaper vegetable oils such as rapeseed oil (RSO). Therefore, we report a Fourier transform infrared (FTIR) spectroscopic method for detecting the authenticity of CAO and quantifying the blended levels of RSO. In this study, two characteristic spectral bands (1119 cm-1 and 1096 cm-1) were selected and used for monitoring the purity of CAO. In combination with principal component analysis (PCA), linear discriminant analysis (LDA), and partial least squares regression (PLSR) analysis, qualitative and quantitative methods for the detection of camellia oil adulteration were proposed. The results showed that the calculated I1119/I1096 intensity ratio facilitated an initial check for pure CAO and six other edible oils. PCA was used on the optimized spectral region of 1800-650 cm-1. We observed the classification of CAO and RSO as well as discrimination of CAO with RSO adulterants. LDA was utilized to classify CAO from RSO. We could differentiate and classify RSO adulterants up to 1% v/v. In the quantitative PLSR models, the plots of actual values versus predicted values exhibited high linearity. Root mean square error of calibration (RMSEC) and root mean square error of cross validation (RMSECV) values of the PLSR models were 1.4518%-3.3164% v/v and 1.7196%-3.8136% v/v, respectively. This method was successfully applied in the classification and quantification of CAO adulteration with RSO.
Collapse
Affiliation(s)
- Jianxun Han
- College of Agriculture & Biotechnology, Zhejiang University, Zijingang Campus, Hangzhou 310058, China;
- Agro-Product Safety Research Center, Chinese Academy of Inspection and Quarantine, Beijing 100176, China; (J.Z.); (R.X.)
| | - Ruixue Sun
- College of Food Science & Nutritional Engineering, China Agricultural University, Beijing 100083, China;
| | - Xiuying Zeng
- Scientific Research Department, Ganzhou Quality Supervision and Inspection Institute, Ganzhou 341000, China;
| | - Jiukai Zhang
- Agro-Product Safety Research Center, Chinese Academy of Inspection and Quarantine, Beijing 100176, China; (J.Z.); (R.X.)
| | - Ranran Xing
- Agro-Product Safety Research Center, Chinese Academy of Inspection and Quarantine, Beijing 100176, China; (J.Z.); (R.X.)
| | - Chongde Sun
- College of Agriculture & Biotechnology, Zhejiang University, Zijingang Campus, Hangzhou 310058, China;
- Correspondence: (C.S.); (Y.C.); Tel.: +86-010-5389-7910 (Y.C.)
| | - Ying Chen
- Agro-Product Safety Research Center, Chinese Academy of Inspection and Quarantine, Beijing 100176, China; (J.Z.); (R.X.)
- Correspondence: (C.S.); (Y.C.); Tel.: +86-010-5389-7910 (Y.C.)
| |
Collapse
|
40
|
Shi T, Wu G, Jin Q, Wang X. Camellia oil authentication: A comparative analysis and recent analytical techniques developed for its assessment. A review. Trends Food Sci Technol 2020. [DOI: 10.1016/j.tifs.2020.01.005] [Citation(s) in RCA: 53] [Impact Index Per Article: 13.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
|
41
|
First Study on the Oxidative Stability and Elemental Analysis of Babassu ( Attalea speciosa) Edible Oil Produced in Brazil Using a Domestic Extraction Machine. Molecules 2019; 24:molecules24234235. [PMID: 31766411 PMCID: PMC6930611 DOI: 10.3390/molecules24234235] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2019] [Revised: 11/11/2019] [Accepted: 11/18/2019] [Indexed: 12/20/2022] Open
Abstract
Interest in edible oil extraction processes is growing interest because the final nutritional quality of the extracted oil depends on the procedure used to obtain ir. In this context, a domestic cold oil press machine is a valuable tool that avoids the use of chemicals during oil extraction, in an environmentally friendly way. Although babassu (Attalea speciosa) oil is economically important in several Brazilian regions due to its nutritional and healthy features, few studies have been conducted on the chemical composition and stability of babassu oils extracted by cold pressing. Babassu oil's major constituents are saturated fatty acids (~86.42%), with the most prevalent fatty acids being lauric (~47.40%), myristic (15.64%), and oleic (~11.28%) acids, respectively, within the recommended range by Codex Alimentarius, presenting atherogenicity and thrombogenicity indexes favorable for human consumption. Peroxide value, Rancimat, and TGA/DSC results indicated that babassu oil is stable to oxidation. Also, macro- (Na, K, Ca, Mg, P) and micro-elements (Fe, Mn, Cr, Se, Al, and Zn) of babassu oil were determined, revealing levels below the tolerable upper intake level (ULs) for adults. These findings demonstrated that cold-press extraction using a domestic machine yielded a high-quality oil that kept oil chemical composition stable to oxidation with natural antioxidants.
Collapse
|
42
|
Hu K, Huyan Z, Sherazi STH, Yu X. Authentication of Eucommia ulmoides Seed Oil Using Fourier Transform Infrared and Synchronous Fluorescence Spectroscopy Combined with Chemometrics. J Oleo Sci 2019; 68:1073-1084. [PMID: 31611515 DOI: 10.5650/jos.ess19160] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Eucommia ulmoides is a traditional Chinese herb whose seeds can be used to produce edible oils. Fourier transform infrared (FTIR) and synchronous fluorescence spectroscopic (SyFS) spectra of Eucommia ulmoides seed oil (EUSO) are lacking. The relevant functional and fluorescent groups were determined by FTIR and SyFS techniques for discriminating adulteration of EUSO, respectively. FTIR and SyFS spectra of EUSO and six common-used vegetable oils were recorded from 4000-400 cm-1 and 250-700 nm at wavelength interval of 60 nm, respectively. Principal component analysis (PCA), linear discriminant analysis (LDA), cluster analysis (CA) and partial least square (PLS) regression was used for qualitative and quantitative calibration of EUSO adulteration. The FTIR spectral regions of 1429-1377 cm-1 and 1128-1110 cm-1 based on PCA, LDA, and CA, and the PCA of SyFS spectral regions of 600-700 nm and 300-500 nm were evaluated for qualitative differentiation of EUSO adulteration. The recognition rate of PCA validation was found to be 100% by FTIR regions. PLS calibration was optimal by the spectral normalization vector treatment in the two FTIR spectral regions and SyFS spectra were combined with characteristic absorption peak area, which can achieve quantitative detection of EUSO adulteration. The two techniques are useful for EUSO adulteration detection at levels down to 1% and 0.48% (w/w), respectively. The results indicated that spectral information obtained by FTIR and SyFS of EUSO can be used for qualitative and quantitative analysis of EUSO adulteration with the advantages of high sensitivity, simplicity, and rapidness.
Collapse
Affiliation(s)
- Keqing Hu
- College of Food Science and Engineering, Northwest A&F University
| | - Zongyao Huyan
- College of Food Science and Engineering, Northwest A&F University
| | | | - Xiuzhu Yu
- College of Food Science and Engineering, Northwest A&F University
| |
Collapse
|
43
|
Rodríguez SD, Gagneten M, Farroni AE, Percibaldi NM, Buera MP. FT-IR and untargeted chemometric analysis for adulterant detection in chia and sesame oils. Food Control 2019. [DOI: 10.1016/j.foodcont.2019.05.025] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
|
44
|
Uncu O, Ozen B. A comparative study of mid-infrared, UV–Visible and fluorescence spectroscopy in combination with chemometrics for the detection of adulteration of fresh olive oils with old olive oils. Food Control 2019. [DOI: 10.1016/j.foodcont.2019.06.013] [Citation(s) in RCA: 28] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
|
45
|
The Role of an Acidic Peptide in Controlling the Oxidation Process of Walnut Oil. Foods 2019; 8:foods8100499. [PMID: 31618871 PMCID: PMC6835922 DOI: 10.3390/foods8100499] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2019] [Revised: 10/06/2019] [Accepted: 10/14/2019] [Indexed: 12/16/2022] Open
Abstract
Here, the mechanism of action of an antioxidant peptide rich in acidic amino acid residues in controlling lipid oxidation is discussed. Firstly, in the presence of this peptide, the fluorescence intensity of lipid peroxide in samples of walnut oil was very low, indicating that the peptide prevented the formation of lipid peroxides. Secondly, the production of lipid-derived radicals of oil was reduced by 23% following addition of the anti-oxidative peptide. Thirdly, Raman shifts of the lipid with the anti-oxidative peptide showed that acidic amino acid residues of the peptide were involved in delaying lipid oxidation. Finally, seven peptide inhibitors were synthesized with variations to the amino acid sequence of the original peptide, and Glu-Asp was proven to enhance the peptide's superoxide anion radical scavenging activity and decrease the formation of linoleic acid peroxides. Our findings emphasize the potential value of acidic amino acid residues in protecting unsaturated fatty acids from oxidation.
Collapse
|
46
|
Valand R, Tanna S, Lawson G, Bengtström L. A review of Fourier Transform Infrared (FTIR) spectroscopy used in food adulteration and authenticity investigations. Food Addit Contam Part A Chem Anal Control Expo Risk Assess 2019; 37:19-38. [PMID: 31613710 DOI: 10.1080/19440049.2019.1675909] [Citation(s) in RCA: 83] [Impact Index Per Article: 16.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/29/2023]
Abstract
The increasing demand for food and the globalisation of the supply chain have resulted in a rise in food fraud, and recent high profile cases, such as the Chinese milk scandal in 2008 and the EU horsemeat scandal in 2013 have emphasised the vulnerability of the food supply system to adulteration and authenticity frauds. Fourier Transform Infrared (FTIR) spectroscopy is routinely used in cases of suspected food fraud as it offers a rapid, easy and reliable detection method for these investigations. In this review, we first present a brief summary of the concepts of food adulteration and authenticity as well as a discussion of the current legislation regarding these crimes. Thereafter, we give an extensive overview of FTIR as an analytical technique and the different foods where FTIR analysis has been employed for food fraud investigations as well as the subsequent multivariate data analyses that have been applied successfully to investigate the case of adulteration or authenticity. Finally, we give a critical discussion of the applications and limitations of FTIR, either as a standalone technique or incorporated in a test battery, in the fight against food fraud.
Collapse
Affiliation(s)
- Reema Valand
- School of Pharmacy, Faculty of Health and Life Sciences. De Montfort University, Leicester, UK
| | - Sangeeta Tanna
- School of Pharmacy, Faculty of Health and Life Sciences. De Montfort University, Leicester, UK
| | - Graham Lawson
- School of Pharmacy, Faculty of Health and Life Sciences. De Montfort University, Leicester, UK
| | - Linda Bengtström
- School of Pharmacy, Faculty of Health and Life Sciences. De Montfort University, Leicester, UK
| |
Collapse
|
47
|
Teye E, Elliott C, Sam-Amoah LK, Mingle C. Rapid and nondestructive fraud detection of palm oil adulteration with Sudan dyes using portable NIR spectroscopic techniques. Food Addit Contam Part A Chem Anal Control Expo Risk Assess 2019; 36:1589-1596. [PMID: 31535956 DOI: 10.1080/19440049.2019.1658905] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
Abstract
Non-destructive, simple and fast techniques for identifying authentic palm oil and those adulterated with Sudan dyes using portable NIR spectroscopy would be very beneficial to West Africa countries and the world at large. In this study, a portable NIR spectroscopy coupled with multivariate models were developed for detecting palm oil adulteration. A total of 520 samples of palm oil were used comprising; 40 authentic samples together with 480 adulterated samples containing Sudan dyes (I, II, III, IV of 120 samples each). Multiplicative scatter correction (MSC) preprocessing technique plus Principal component analysis (PCA) was used to extract relevant spectral information which gave visible cluster trends for authentic samples and adulterated ones. The performance of Linear discriminant analysis (LDA) and Support vector machine (SVM) were compared, and SVM showed superiority over LDA. The optimised results by cross-validation revealed that MSC-PCA + SVM gave an identification rate above 95% for both calibration and prediction sets. The overall results show that portable NIR spectroscopy together with MSC-PCA + SVM model could be used successfully to identify authentic palm oils from adulterated ones. This would be useful for quality control officers and consumers to manage and control Sudan dyes adulteration in red palm oil.
Collapse
Affiliation(s)
- Ernest Teye
- School of Agriculture, Department of Agricultural Engineering, University of Cape Coast, Cape Coast, Ghana
| | - Chris Elliott
- Institute for Global Food Security, Queen's University Belfast, Belfast, Northern Ireland, UK
| | | | - Cheetham Mingle
- Food Physio-Chemical Laboratories, Food and Drugs Authority, Cantonments-Accra, Ghana
| |
Collapse
|
48
|
Ma YB, Amamcharla JK. Front-face fluorescence spectroscopy combined with chemometrics to detect high proteinaceous matter in milk and whey ultrafiltration permeate. J Dairy Sci 2019; 102:8756-8767. [PMID: 31421884 DOI: 10.3168/jds.2019-16810] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2019] [Accepted: 06/20/2019] [Indexed: 11/19/2022]
Abstract
Proteinaceous matter can leak into the permeate stream during ultrafiltration (UF) of milk and whey and lead to financial losses. Although manufacturers can measure protein content in the finished permeate powders, there is currently no rapid monitoring tool during UF to identify protein leak. This study applied front-face fluorescence spectroscopy (FFFS) and chemometrics to identify the fluorophore of interest associated with the protein leak, develop predictive models to quantify true protein content, and classify the types of protein leak in permeate streams. Crude protein (CP), nonprotein nitrogen (NPN), true protein (TP), tryptone-equivalent peptide (TEP), α-lactalbumin (α-LA), and β-lactoglobulin (β-LG) contents were measured for 37 lots of whey permeate and 29 lots of milk permeate from commercial manufacturers. Whey permeate contained more TEP than did milk permeate, whereas milk permeate contained more α-LA and β-LG than did whey permeate. The types of protein leak were thus identified for predictive model development. Based on excitation-emission matrix (EEM) of high- and low-TP permeates, tryptophan excitation spectra were collected for predictive model development, measuring TP content in permeate. With external validation, a useful model for quality control purposes was developed, with a root mean square error of prediction of 0.22% (dry basis) and a residual prediction deviation of 2.8. Moreover, classification models were developed using partial least square discriminant analysis. These classification methods can detect high TP level, high TEP level, and presence of α-LA or β-LG with 83.3%, 84.8%, and 98.5% cross-validated accuracy, respectively. This method showed that FFFS and chemometrics can rapidly detect protein leaks and identify the types of protein leak in UF permeate. Implementation of this method in UF processing plants can reduce financial loss from protein leaks and maintain high-quality permeate production.
Collapse
Affiliation(s)
- Y B Ma
- Department of Animal Sciences and Industry/Food Science Institute, Kansas State University, Manhattan 66506
| | - J K Amamcharla
- Department of Animal Sciences and Industry/Food Science Institute, Kansas State University, Manhattan 66506.
| |
Collapse
|
49
|
Yaman N, Durakli Velioglu S. Use of Attenuated Total Reflectance-Fourier Transform Infrared (ATR-FTIR) Spectroscopy in Combination with Multivariate Methods for the Rapid Determination of the Adulteration of Grape, Carob and Mulberry Pekmez. Foods 2019; 8:E231. [PMID: 31261701 PMCID: PMC6678892 DOI: 10.3390/foods8070231] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2019] [Revised: 06/20/2019] [Accepted: 06/20/2019] [Indexed: 11/16/2022] Open
Abstract
Pekmez, a traditional Turkish food generally produced by concentration of fruit juices, is subjected to fraudulent activities like many other foodstuffs. This study reports the use of Fourier transform infrared spectroscopy (FTIR) in combination with chemometric methods for the detection of fraudulent addition of glucose syrup to traditional grape, carob and mulberry pekmez. FTIR spectra of samples were taken in mid-infrared (MIR) range of 400-4000 cm-1 using attenuated total reflectance (ATR) sample accessory. Partial least squares-discriminant analysis (PLS-DA) and PLS chemometric methods were built for qualitative and quantitative analysis of pekmez samples, respectively. PLS-DA models were successfully used for the discrimination of pure pekmez samples and the adulterated pekmez samples with glucose syrup. Sensitivity and specificity of 100%, and model efficiency of 100% were obtained in PLS-DA models for all pekmez groups. Detection of the adulteration ratio of pekmez samples was also accomplished using ATR-FTIR spectroscopy in combination with PLS. As a result, it was shown that ATR-FTIR spectroscopy along with chemometric methods had a great potential for determination of pekmez adulteration with glucose syrup.
Collapse
Affiliation(s)
- Nihal Yaman
- Department of Food Engineering, Faculty of Agriculture, Tekirdag Namik Kemal University, Tekirdag 59030, Turkey
- Malatya Directorate of Provincial Agriculture and Forestry, Ministry of Agriculture and Forestry, Malatya 44200, Turkey
| | - Serap Durakli Velioglu
- Department of Food Engineering, Faculty of Agriculture, Tekirdag Namik Kemal University, Tekirdag 59030, Turkey.
| |
Collapse
|
50
|
Goh KM, Maulidiani M, Rudiyanto R, Wong YH, Ang MY, Yew WM, Abas F, Lai OM, Wang Y, Tan CP. Rapid assessment of total MCPD esters in palm-based cooking oil using ATR-FTIR application and chemometric analysis. Talanta 2019; 198:215-223. [PMID: 30876552 DOI: 10.1016/j.talanta.2019.01.111] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2018] [Revised: 01/29/2019] [Accepted: 01/31/2019] [Indexed: 10/27/2022]
Abstract
The technique of Fourier transform infrared spectroscopy is widely used to generate spectral data for use in the detection of food contaminants. Monochloropropanediol (MCPD) is a refining process-induced contaminant that is found in palm-based fats and oils. In this study, a chemometric approach was used to evaluate the relationship between the FTIR spectra and the total MCPD content of a palm-based cooking oil. A total of 156 samples were used to develop partial least squares regression (PLSR), artificial neural network (nnet), average artificial neural network (avNNET), random forest (RF) and cubist models. In addition, a consensus approach was used to generate fusion result consisted from all the model mentioned above. All the models were evaluated based on validation performed using training and testing datasets. In addition, the box plot of coefficient of determination (R2), root mean square error (RMSE), slopes and intercepts by 100 times randomization was also compared. Evaluation of performance based on the testing R2 and RMSE suggested that the cubist model predicted total MCPD content with the highest accuracy, followed by the RF, avNNET, nnet and PLSR models. The overfitting tendency was assessed based on differences in R2 and RMSE in the training and testing calibrations. The observations showed that the cubist and avNNET models possessed a certain degree of overfitting. However, the accuracy of these models in predicting the total MCPD content was high. Results of the consensus model showed that it slightly improved the accuracy of prediction as well as significantly reduced its uncertainty. The important variables derived from the cubist and RF models suggested that the wavenumbers corresponding to the MCPDs originated from the -CH=CH2 or CH=CH (990-900 cm-1) and C-Cl stretch (800-700 cm-1) regions of the FTIR spectrum data. In short, chemometrics in combination with FTIR analysis especially for the consensus model represent a potential and flexible technique for estimating the total MCPD content of refined vegetable oils.
Collapse
Affiliation(s)
- Kok Ming Goh
- Department of Food Technology, Faculty of Food Science and Technology, Universiti Putra Malaysia, 43400 Serdang, Selangor, Malaysia
| | - M Maulidiani
- School of Fundamental Science, Universiti Malaysia Terengganu, 21030 Kuala Nerus, Terengganu, Malaysia
| | - R Rudiyanto
- School of Food Science and Technology, Universiti Malaysia Terengganu, 21030 Kuala Nerus, Terengganu, Malaysia
| | - Yu Hua Wong
- Department of Food Technology, Faculty of Food Science and Technology, Universiti Putra Malaysia, 43400 Serdang, Selangor, Malaysia
| | - May Yen Ang
- Shimadzu Malaysia Sdn Bhd, No.6 Lorong Teknologi 3/4 A, Nouvelle Industrial Park 2, Taman Sains Selangor 1, Kota Damansara, 47810 Petaling Jaya, Selangor, Malaysia
| | - Wooi Meng Yew
- Shimadzu Malaysia Sdn Bhd, No.6 Lorong Teknologi 3/4 A, Nouvelle Industrial Park 2, Taman Sains Selangor 1, Kota Damansara, 47810 Petaling Jaya, Selangor, Malaysia
| | - Faridah Abas
- Department of Food Science, Faculty of Food Science and Technology, Universiti Putra Malaysia, 43400 Serdang, Selangor, Malaysia
| | - Oi Ming Lai
- Department of Bioprocess Technology, Faculty of Biotechnology and Biomolecular Sciences, Universiti Putra Malaysia, 43400 Serdang, Selangor, Malaysia
| | - Yonghua Wang
- Guangdong Research Center of Lipid Science Applied Engineering Technology, School of Food Science and Engineering, South China University of Technology, Guangzhou 510640, China
| | - Chin Ping Tan
- Department of Food Technology, Faculty of Food Science and Technology, Universiti Putra Malaysia, 43400 Serdang, Selangor, Malaysia.
| |
Collapse
|