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Aytar EC, Deniz İG, İncedere D, Kömpe YÖ, Basılı T, Harzli İ, Durmaz A. Comparison of Seed Morphology and Seed Coat Chemistry in Ophrys (Orchidaceae) Species. ACS OMEGA 2024; 9:33773-33788. [PMID: 39130603 PMCID: PMC11307315 DOI: 10.1021/acsomega.4c03130] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/01/2024] [Revised: 07/12/2024] [Accepted: 07/15/2024] [Indexed: 08/13/2024]
Abstract
Orchidaceae is the largest flowering plant family in the world and holds significant importance in terms of biological diversity. Many of the species are found in endemic regions, serving as important indicators for the conservation of biological diversity. Therefore, research on the morphology, seed and embryo structures, chemical composition, and taxonomy of orchids is crucial for species conservation, habitat restoration, and the sustainability of natural habitats. This research involves comparing the morphometric and chemical contents of seeds belonging to certain Ophrys L. species and examining interspecies relationships. The micromorphological features of the seeds were analyzed by using light microscopy and scanning electron microscopy (SEM), while their chemical contents were compared by using Fourier transform infrared spectroscopy (FT-IR) analysis. Seed and embryo morphology, morphometric analysis, and seed coat chemistry hold diagnostic significance. In species of the Ophrys genus, features like anticlinal wall structure and periclinal wall reticulation are considered weak taxonomic characters. FT-IR analysis identifies specific chemical groups in orchid samples, revealing significant differences in absorbance values and chemical compositions among the different orchid species. Particularly, Ophrys lycia (Lycian Kaş Orchid) shows distinct separation from closely related species at peak points such as 2917 and 2850, 1743, 1515, 1240, and 1031 cm-1. Common peak points in the fingerprint region (1200- 700 cm-1) indicate similarity between O. apifera and O. reinholdii subsp. reinholdii. O. ferrum-equinum, O. mammosa subsp. mammosa, O. fusca subsp. leucadica, O. reinholdii subsp. reinholdii, and O. iricolor exhibit similar absorbance values in the range of 1500-1000 cm-1. These results provide valuable preliminary information about the structure of orchid seed coats, reticulation presence and pattern, chemical profiles, distribution, and dormancy-germination processes.
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Affiliation(s)
- Erdi Can Aytar
- Faculty
of Agriculture, Department of Horticulture, Usak University, Uşak 64900, Türkiye
| | - İsmail Gökhan Deniz
- Faculty
of Science, Department of Biology, Akdeniz
University, Antalya 07058, Türkiye
| | - Demet İncedere
- Faculty
of Science, Department of Biology, Ondokuz
Mayıs University, Samsun 55100, Türkiye
| | - Yasemin Özdener Kömpe
- Faculty
of Science, Department of Biology, Ondokuz
Mayıs University, Samsun 55100, Türkiye
| | - Taşkın Basılı
- Faculty
of Science, Department of Chemistry, Ondokuz
Mayıs University, Samsun 55139, Türkiye
| | - İnes Harzli
- Faculty
of Science, Department of Biology, Ondokuz
Mayıs University, Samsun 55100, Türkiye
| | - Alper Durmaz
- Ali
Nihat Gokyigit Botanical Garden Application and Research Center, Artvin Coruh University, Artvin 08000, Türkiye
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Huang Z, Zhou G, Wang X, Wang T, Zhang H, Wang Z, Zhu B, Li W. Rapid and nondestructive identification of adulterate capsules by NIR spectroscopy combined with chemometrics. J Pharm Biomed Anal 2023; 235:115597. [PMID: 37516065 DOI: 10.1016/j.jpba.2023.115597] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2023] [Revised: 06/03/2023] [Accepted: 07/19/2023] [Indexed: 07/31/2023]
Abstract
This study aims to develop a rapid and non-destructive method to identify counterfeit and substandard drugs, addressing the critical need for better quality control in drug production. According to the reasons for counterfeit products in actual production, the commonly used solid preparation excipients such as HPMC, MCC, Mg-St and Pregelatinized Starch, as well as three chemical drugs with similar efficacy to Guizhi-Fuling (GZFL) Capsule as adulterants, including Aspirin, Ibuprofen and Sinomenine Hydrochloride were selected and designed as adulteration samples with different levels of adulteration. NIR spectra were collected in a non-invasive mode and analyzed by one-class classification methods. The feasibility of using Near-infrared (NIR) spectroscopy as a detection method to qualitatively identify adulterated samples was explored at three packaging levels of powder, intact capsules and capsules in PVC. The differences between the samples were analyzed by NIR spectra comparison, cluster analysis and principal component analysis. The performance of SVM, OCPLS and DD-SIMCA models in dealing with the authentication of genuine and counterfeit products was established and compared. The results show that the spectra contain sample information and the adulterated samples could be discriminated correctly by established models. Moreover, applying appropriate spectral preprocessing methods can further improve the model's performance. In addition, a PLS regression model was developed to predict the adulteration levels of the three packing level samples, which yielded satisfactory results. This study highlights the potential of NIR spectroscopy combined with Chemometrics as a rapid and non-destructive testing analysis method to accurately identify counterfeit and substandard drugs, thereby ensuring drug quality.
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Affiliation(s)
- Zhaobo Huang
- College of Pharmaceutical Engineering of Traditional Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin 301617, China; State Key Laboratory of Component-based Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin 301617, China; Haihe Laboratory of Modern Chinese Medicine, Tianjin 301617, China
| | - Guoming Zhou
- College of Pharmaceutical Engineering of Traditional Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin 301617, China; State Key Laboratory of Component-based Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin 301617, China
| | - Xi Wang
- College of Pharmaceutical Engineering of Traditional Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin 301617, China; State Key Laboratory of Component-based Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin 301617, China; Haihe Laboratory of Modern Chinese Medicine, Tianjin 301617, China
| | - Tuanjie Wang
- Jiangsu Kanion Pharmaceutical CO. LTD, Lianyungang, Jiangsu 222001, China; State Key Laboratory of New-tech for Chinese Medicine Pharmaceutical Process, Lianyungang, Jiangsu 222001, China
| | - Hongda Zhang
- Jiangsu Kanion Pharmaceutical CO. LTD, Lianyungang, Jiangsu 222001, China; State Key Laboratory of New-tech for Chinese Medicine Pharmaceutical Process, Lianyungang, Jiangsu 222001, China
| | - Zhenzhong Wang
- Jiangsu Kanion Pharmaceutical CO. LTD, Lianyungang, Jiangsu 222001, China; State Key Laboratory of New-tech for Chinese Medicine Pharmaceutical Process, Lianyungang, Jiangsu 222001, China
| | - Beibei Zhu
- College of Pharmaceutical Engineering of Traditional Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin 301617, China; State Key Laboratory of Component-based Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin 301617, China; Haihe Laboratory of Modern Chinese Medicine, Tianjin 301617, China.
| | - Wenlong Li
- College of Pharmaceutical Engineering of Traditional Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin 301617, China; State Key Laboratory of Component-based Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin 301617, China; Haihe Laboratory of Modern Chinese Medicine, Tianjin 301617, China.
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Zhang J, Sun M, Elmaidomy AH, Youssif KA, Zaki AMM, Hassan Kamal H, Sayed AM, Abdelmohsen UR. Emerging trends and applications of metabolomics in food science and nutrition. Food Funct 2023; 14:9050-9082. [PMID: 37740352 DOI: 10.1039/d3fo01770b] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/24/2023]
Abstract
The study of all chemical processes involving metabolites is known as metabolomics. It has been developed into an essential tool in several disciplines, such as the study of plant physiology, drug development, human diseases, and nutrition. The field of food science, diagnostic biomarker research, etiological analysis in the field of medical therapy, and raw material quality, processing, and safety have all benefited from the use of metabolomics recently. Food metabolomics includes the use of metabolomics in food production, processing, and human diets. As a result of changing consumer habits and the rising of food industries all over the world, there is a remarkable increase in interest in food quality and safety. It requires the employment of various technologies for the food supply chain, processing of food, and even plant breeding. This can be achieved by understanding the metabolome of food, including its biochemistry and composition. Additionally, Food metabolomics can be used to determine the similarities and differences across crop kinds, as an indicator for tracking the process of ripening to increase crops' shelf life and attractiveness, and identifying metabolites linked to pathways responsible for postharvest disorders. Moreover, nutritional metabolomics is used to investigate the connection between diet and human health through detection of certain biomarkers. This review assessed and compiled literature on food metabolomics research with an emphasis on metabolite extraction, detection, and data processing as well as its applications to the study of food nutrition, food-based illness, and phytochemical analysis. Several studies have been published on the applications of metabolomics in food but further research concerning the use of standard reproducible procedures must be done. The results published showed promising uses in the food industry in many areas such as food production, processing, and human diets. Finally, metabolome-wide association studies (MWASs) could also be a useful predictor to detect the connection between certain diseases and low molecular weight biomarkers.
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Affiliation(s)
- Jianye Zhang
- Guangzhou Municipal and Guangdong Provincial Key Laboratory of Molecular Target & Clinical Pharmacology, the NMPA and State Key Laboratory of Respiratory Disease, School of Pharmaceutical Sciences and the Fifth Affiliated Hospital, Guangzhou Medical University, Guangzhou 511436, China
| | - Mingna Sun
- Guangzhou Municipal and Guangdong Provincial Key Laboratory of Molecular Target & Clinical Pharmacology, the NMPA and State Key Laboratory of Respiratory Disease, School of Pharmaceutical Sciences and the Fifth Affiliated Hospital, Guangzhou Medical University, Guangzhou 511436, China
| | - Abeer H Elmaidomy
- Department of Pharmacognosy, Faculty of Pharmacy, Beni-Suef University, Beni-Suef 62511, Egypt
| | - Khayrya A Youssif
- Department of Pharmacognosy, Faculty of Pharmacy, El-Saleheya El Gadida University, Cairo, Egypt
| | - Adham M M Zaki
- Faculty of Pharmacy, Minia University, Minia 61519, Egypt
| | - Hossam Hassan Kamal
- Faculty of Pharmacy, Deraya University, 7 Universities Zone, New Minia 61111, Egypt
| | - Ahmed M Sayed
- Department of Pharmacognosy, Faculty of Pharmacy, Nahda University, 62513 Beni-Suef, Egypt.
- Department of Pharmacognosy, Faculty of Pharmacy, Almaaqal University, 61014 Basra, Iraq
| | - Usama Ramadan Abdelmohsen
- Department of Pharmacognosy, Faculty of Pharmacy, Minia University, Minia 61519, Egypt.
- Department of Pharmacognosy, Faculty of Pharmacy, Deraya University, 7 Universities Zone, New Minia 61111, Egypt
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Javier-Astete R, Melo J, Jimenez-Davalos J, Zolla G. Classification of Amazonian fast-growing tree species and wood chemical determination by FTIR and multivariate analysis (PLS-DA, PLS). Sci Rep 2023; 13:7827. [PMID: 37188729 DOI: 10.1038/s41598-023-35107-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2023] [Accepted: 05/12/2023] [Indexed: 05/17/2023] Open
Abstract
Fast-growing trees like Capirona, Bolaina, and Pashaco have the potential to reduce forest degradation because of their ecological features, the economic importance in the Amazon Forest, and an industry based on wood-polymer composites. Therefore, a practical method to discriminate specie (to avoid illegal logging) and determine chemical composition (tree breeding programs) is needed. This study aimed to validate a model for the classification of wood species and a universal model for the rapid determination of cellulose, hemicellulose, and lignin using FTIR spectroscopy coupled with chemometrics. Our results showed that PLS-DA models for the classification of wood species (0.84 ≤ R2 ≤ 0.91, 0.12 ≤ RMSEP ≤ 0.20, accuracy, specificity, and sensibility between 95.2 and 100%) were satisfied with the full spectra and the differentiation among these species based on IR peaks related to cellulose, lignin, and hemicellulose. Besides, the full spectra helped build a three-species universal PLS model to quantify the principal wood chemical components. Lignin (RPD = 2.27, [Formula: see text] = 0.84) and hemicellulose (RPD = 2.46, [Formula: see text] = 0.83) models showed a good prediction, while cellulose model (RPD = 3.43, [Formula: see text] = 0.91) classified as efficient. This study showed that FTIR-ATR, together with chemometrics, is a reliable method to discriminate wood species and to determine the wood chemical composition in juvenile trees of Pashaco, Capirona, and Bolaina.
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Affiliation(s)
- Rosario Javier-Astete
- Laboratorio de Fisiologia Molecular de Plantas del PIPS de Cereales y Granos Nativos, Facultad de Agronomia, Universidad Nacional Agraria La Molina, Lima, Peru
| | - Jessenia Melo
- Laboratorio de Evaluación Nutricional de Alimentos, Universidad Nacional Agraria La Molina, Lima, Peru
| | - Jorge Jimenez-Davalos
- Grupo de Investigacion en Mutaciones & Biotecnologia Vegetal, Facultad de Agronomia, Universidad Nacional Agraria La Molina, Lima, Peru
| | - Gastón Zolla
- Laboratorio de Fisiologia Molecular de Plantas del PIPS de Cereales y Granos Nativos, Facultad de Agronomia, Universidad Nacional Agraria La Molina, Lima, Peru.
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Nayrac N, Bellenger JP, Segura PA. Screening of polymer types and chemical weathering in macro- and meso-plastics found on lake and river beaches using a combined chemometric approach. ANALYTICAL METHODS : ADVANCING METHODS AND APPLICATIONS 2022; 14:4977-4989. [PMID: 36441619 DOI: 10.1039/d2ay01201d] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
In the environment, synthetic polymers, commonly known as "plastics", are well-known to undergo various chemical weathering processes, which modify their surface chemistry by introducing new functional groups. Such changes are important to monitor, as they can severely influence the toxicity caused by plastic debris. Therefore, in this study, two chemometric models are proposed to accelerate the chemical classification of macro- and meso-plastics found in the environment. For this purpose, principal component analysis (PCA) and hierarchical cluster analysis (HCA) were applied on preprocessed infrared spectra of 83 plastic fragments found on public lake and river beaches. HCA associated all beach samples with a known plastic, whereas PCA enabled the association of only 39.8% (33 out of 83) of the beach samples with a known plastic. However, both techniques agreed on 93.9% of the samples identified. According to PCA and HCA results, polypropylene and polyethylene were the most frequently identified polymers in the samples. PCA turned out to be a very promising tool for fast screening of weathered plastics, since the distance of samples from the polypropylene cluster in the PCA plot was correlated with weathering. This was later confirmed by employing other characterization techniques such as micro-Raman, X-ray photoelectron spectroscopy and scanning electron microscopy. Finally, future experiments should focus on the applicability of the proposed combined chemometric approach for very small microplastics (<100 μm), as they have more important effects than larger plastics on aquatic ecosystems.
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Affiliation(s)
- Nicolas Nayrac
- Department of Chemistry, Université de Sherbrooke, Sherbrooke, QC J1K 2R1, Canada.
| | | | - Pedro A Segura
- Department of Chemistry, Université de Sherbrooke, Sherbrooke, QC J1K 2R1, Canada.
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Rozali NL, Azizan KA, Singh R, Syed Jaafar SN, Othman A, Weckwerth W, Ramli US. Fourier transform infrared (FTIR) spectroscopy approach combined with discriminant analysis and prediction model for crude palm oil authentication of different geographical and temporal origins. Food Control 2022. [DOI: 10.1016/j.foodcont.2022.109509] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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7
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Pullano SA, Bianco MG, Greco M, Mazzuca D, Nisticò SP, Fiorillo AS. FT-IR saliva analysis for the diagnosis of psoriasis: A pilot study. Biomed Signal Process Control 2022. [DOI: 10.1016/j.bspc.2022.103525] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/27/2023]
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8
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Ciucci F, Ioele G, Bardocci A, Lofoco G, Antonelli B, Gaetano CD, Polimanti G, Luca MD, Ragno G, Gattegna R. Central retinal thickness fluctuations in patients treated with anti-VEGF for neovascular age related macular degeneration. Eur J Ophthalmol 2021; 32:2388-2394. [PMID: 34392710 DOI: 10.1177/11206721211037820] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
PURPOSE This is a retrospective, single-center, non randomized interventional real life study, investigating the correlation between variability of central retinal thickness (CRT) and functional outcomes during 2 years of anti-VEGF therapy in patients treated for neovascular age related macular degeneration (nAMD). BACKGROUND CRT fluctuations can depend on various factors such as the correct timing of injections, the therapeutic algorithm, and the number of injections (NI) performed; it is important to understand if CRT fluctuations are responsible for worse visual outcomes and consequently to identify the correct ways to avoid or reduce them. METHODS Forty-one patients were treated for nAMD with aflibercept: 0.5 mg intravitreal aflibercept was administered every 4 weeks during the first 3 months, then bimonthly over the first year, and after the first year adopting a PRN regimen. Standard deviation of CRT (CRT/SD), BCVA, and NI were recorded. Correlation studies were performed by Pearson's test, Ancova, and Principal Component Analysis. RESULTS A negative correlation was found between CRT/SD and final BCVA. In patients who lost more than 15 letters, CRT/SD mean was significantly higher in comparison with patients who lost less than 15 letters. Patients with final BCVA >65 letters showed lower CRT/SD values compared to patients with final BCVA ⩽65 letters. Multivariate analysis confirmed that in patients with higher baseline BCVA, improvement of BCVA was correlated to NI, and lower values of CRT fluctuations were observed. CONCLUSIONS CRT fluctuations, even after an appropriate NI given per year, significantly influence BCVA; a proactive treatment algorithm appears crucial when treating patients with nAMD.
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Affiliation(s)
- Francesco Ciucci
- Department of Ophthalmology, Ospedale San Pietro Fatebenefratelli, Rome, Lazio, Italy
| | - Giuseppina Ioele
- Department of Pharmacy, Health and Nutritional Sciences, University of Calabria, Rende, Italy
| | - Antonio Bardocci
- Department of Ophthalmology, Ospedale San Pietro Fatebenefratelli, Rome, Lazio, Italy
| | - Giorgio Lofoco
- Department of Ophthalmology, Ospedale San Pietro Fatebenefratelli, Rome, Lazio, Italy
| | - Barbara Antonelli
- Department of Ophthalmology, Ospedale San Pietro Fatebenefratelli, Rome, Lazio, Italy
| | - Cristiano De Gaetano
- Department of Ophthalmology, Ospedale San Pietro Fatebenefratelli, Rome, Lazio, Italy
| | - Gabriele Polimanti
- Department of Ophthalmology, Ospedale San Pietro Fatebenefratelli, Rome, Lazio, Italy
| | - Michele De Luca
- Department of Pharmacy, Health and Nutritional Sciences, University of Calabria, Rende, Italy
| | - Gaetano Ragno
- Department of Pharmacy, Health and Nutritional Sciences, University of Calabria, Rende, Italy
| | - Roberto Gattegna
- Department of Ophthalmology, Ospedale Israelitico, Rome, Lazio, Italy
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Authentication of the Botanical and Geographical Origin and Detection of Adulteration of Olive Oil Using Gas Chromatography, Infrared and Raman Spectroscopy Techniques: A Review. Foods 2021; 10:foods10071565. [PMID: 34359435 PMCID: PMC8306465 DOI: 10.3390/foods10071565] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2021] [Revised: 07/01/2021] [Accepted: 07/02/2021] [Indexed: 01/18/2023] Open
Abstract
Olive oil is among the most popular supplements of the Mediterranean diet due to its high nutritional value. However, at the same time, because of economical purposes, it is also one of the products most subjected to adulteration. As a result, authenticity is an important issue of concern among authorities. Many analytical techniques, able to detect adulteration of olive oil, to identify its geographical and botanical origin and consequently guarantee its quality and authenticity, have been developed. This review paper discusses the use of infrared and Raman spectroscopy as candidate tools to examine the authenticity of olive oils. It also considers the volatile fraction as a marker to distinguish between different varieties and adulterated olive oils, using SPME combined with gas chromatography technique.
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Optimizing setup of scan number in FTIR spectroscopy using the moment distance index and PLS regression: application to soil spectroscopy. Sci Rep 2021; 11:13358. [PMID: 34172802 PMCID: PMC8233441 DOI: 10.1038/s41598-021-92858-w] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2021] [Accepted: 06/16/2021] [Indexed: 11/08/2022] Open
Abstract
Vibrational spectroscopy such as Fourier-transform infrared (FTIR), has been used successfully for soil diagnosis owing to its low cost, minimal sample preparation, non-destructive nature, and reliable results. This study aimed at optimizing one of the essential settings during the acquisition of FTIR spectra (viz. Scans number) using the standardized moment distance index (SMDI) as a metric that could trap the fine points of the curve and extract optimal spectral fingerprints of the sample. Furthermore, it can be used successfully to assess the spectra resemblance. The study revealed that beyond 50 scans the similarity of the acquisitions has been remarkably improved. Subsequently, the effect of the number of scans on the predictive ability of partial least squares regression models for the estimation of five selected soil properties (i.e., soil pH in water, soil organic carbon, total nitrogen, cation exchange capacity and Olsen phosphorus) was assessed, and the results showed a general tendency in improving the correlation coefficient (R2) as the number of scans increased from 10 to 80. In contrast, the cross-validation error RMSECV decreased with increasing scan number, reflecting an improvement of the predictive quality of the calibration models with an increasing number of scans.
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Zaroual H, El Hadrami EM, Karoui R. Preliminary study on the potential application of Fourier-transform mid-infrared for the evaluation of overall quality and authenticity of Moroccan virgin olive oil. JOURNAL OF THE SCIENCE OF FOOD AND AGRICULTURE 2021; 101:2901-2911. [PMID: 33155679 DOI: 10.1002/jsfa.10922] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/21/2020] [Revised: 10/21/2020] [Accepted: 11/06/2020] [Indexed: 06/11/2023]
Abstract
BACKGROUND Olive oil provides a wide range of health-promoting compounds. The quality of olive oil is an even more complex concept as it is affected by several factors, such as variety, season, stage of maturation, extraction processing, and so on. The main objective of this study was to determine the potential of chemical and mid-infrared spectroscopy techniques to determine the quality and authenticity of virgin olive oil (VOO). For this, we studied 41 VOOs originating from five regions of Morocco (Fez/Meknes, Eastern, Northern, Beni-Mellal/Khenifra, and Marrakech/Safi) and produced using different agricultural and technological conditions during two successive crop seasons (2015-2016 and 2016-2017). RESULTS By applying principal component analysis and factorial discriminant analysis with leave-one-out validation to the mid-infrared spectroscopy, clear discrimination between VOO samples according to their geographic origin and variety was observed, with correct classification rates of 91.87% and 91.87% being observed respectively. The application of partial least-squares regression to mid-infrared and chemical data sets allowed excellent prediction of free acidity, peroxide value, k270 , and chlorophyll level with R2 of 0.99, 0.97, 0.98, and 0.93 respectively, and good prediction of k232 (R2 = 0.84). CONCLUSION The results demonstrate that mid-infrared spectroscopy coupled with chemometric tools could be used as a rapid screening tool for evaluating the overall quality and authenticity of VOO. © 2020 Society of Chemical Industry.
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Affiliation(s)
- Hicham Zaroual
- Université d'Artois, UMRT 1158 BioEcoAgro, ICV-Institut Charles Viollette, Lens, France
- Sidi Mohamed Ben Abdellah University, Applied Organic Chemistry Laboratory, Fez, Morocco
| | - El Mestafa El Hadrami
- Sidi Mohamed Ben Abdellah University, Applied Organic Chemistry Laboratory, Fez, Morocco
| | - Romdhane Karoui
- Université d'Artois, UMRT 1158 BioEcoAgro, ICV-Institut Charles Viollette, Lens, France
- INRAe, Paris, France
- Yncréa, Lille, France
- Ulco, Boulogne-sur-Mer, France
- University of Lille, Lille, France
- Adrianor, Tilloy Les Mofflaines, France
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Gyftokostas N, Nanou E, Stefas D, Kokkinos V, Bouras C, Couris S. Classification of Greek Olive Oils from Different Regions by Machine Learning-Aided Laser-Induced Breakdown Spectroscopy and Absorption Spectroscopy. Molecules 2021; 26:molecules26051241. [PMID: 33669128 PMCID: PMC7956679 DOI: 10.3390/molecules26051241] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2021] [Revised: 02/21/2021] [Accepted: 02/22/2021] [Indexed: 11/20/2022] Open
Abstract
In the present work, the emission and the absorption spectra of numerous Greek olive oil samples and mixtures of them, obtained by two spectroscopic techniques, namely Laser-Induced Breakdown Spectroscopy (LIBS) and Absorption Spectroscopy, and aided by machine learning algorithms, were employed for the discrimination/classification of olive oils regarding their geographical origin. Both emission and absorption spectra were initially preprocessed by means of Principal Component Analysis (PCA) and were subsequently used for the construction of predictive models, employing Linear Discriminant Analysis (LDA) and Support Vector Machines (SVM). All data analysis methodologies were validated by both “k-fold” cross-validation and external validation methods. In all cases, very high classification accuracies were found, up to 100%. The present results demonstrate the advantages of machine learning implementation for improving the capabilities of these spectroscopic techniques as tools for efficient olive oil quality monitoring and control.
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Affiliation(s)
- Nikolaos Gyftokostas
- Department of Physics, University of Patras, 26504 Patras, Greece; (N.G.); (E.N.); (D.S.)
- Institute of Chemical Engineering Sciences (ICE-HT), Foundation for Research and Technology-Hellas (FORTH), 26504 Patras, Greece
| | - Eleni Nanou
- Department of Physics, University of Patras, 26504 Patras, Greece; (N.G.); (E.N.); (D.S.)
- Institute of Chemical Engineering Sciences (ICE-HT), Foundation for Research and Technology-Hellas (FORTH), 26504 Patras, Greece
| | - Dimitrios Stefas
- Department of Physics, University of Patras, 26504 Patras, Greece; (N.G.); (E.N.); (D.S.)
- Institute of Chemical Engineering Sciences (ICE-HT), Foundation for Research and Technology-Hellas (FORTH), 26504 Patras, Greece
| | - Vasileios Kokkinos
- Department of Computer Engineering & Informatics, University of Patras, 26504 Patras, Greece; (V.K.); (C.B.)
| | - Christos Bouras
- Department of Computer Engineering & Informatics, University of Patras, 26504 Patras, Greece; (V.K.); (C.B.)
| | - Stelios Couris
- Department of Physics, University of Patras, 26504 Patras, Greece; (N.G.); (E.N.); (D.S.)
- Institute of Chemical Engineering Sciences (ICE-HT), Foundation for Research and Technology-Hellas (FORTH), 26504 Patras, Greece
- Correspondence: ; Tel.: +30-2610996086
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Zaroual H, Chénè C, El Hadrami EM, Karoui R. Application of new emerging techniques in combination with classical methods for the determination of the quality and authenticity of olive oil: a review. Crit Rev Food Sci Nutr 2021; 62:4526-4549. [DOI: 10.1080/10408398.2021.1876624] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/18/2023]
Affiliation(s)
- Hicham Zaroual
- Université d'Artois, UMRT 1158 BioEcoAgro, ICV-Institut Charles VIOLLETTE, Lens, France
- Sidi Mohamed Ben Abdellah University, Applied Organic Chemistry Laboratory, Fez, Morocco
| | | | - El Mestafa El Hadrami
- Sidi Mohamed Ben Abdellah University, Applied Organic Chemistry Laboratory, Fez, Morocco
| | - Romdhane Karoui
- Université d'Artois, UMRT 1158 BioEcoAgro, ICV-Institut Charles VIOLLETTE, Lens, France
- INRA, USC 1281,Lille, France
- Yncréa, Lille, France
- University of the Littoral Opal Coast (ULCO), Boulogne sur Mer, France
- University of Lille, Lille, France
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14
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Soil spectroscopy with the use of chemometrics, machine learning and pre-processing techniques in soil diagnosis: Recent advances–A review. Trends Analyt Chem 2021. [DOI: 10.1016/j.trac.2020.116166] [Citation(s) in RCA: 30] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
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15
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Herculano LS, Lukasievicz GVB, Sehn E, Torquato AS, Belançon MP, Savi E, Kimura NM, Malacarne LC, Baesso ML, Astrath NGC. The correlation of physicochemical properties of edible vegetable oils by chemometric analysis of spectroscopic data. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2021; 245:118877. [PMID: 32920439 DOI: 10.1016/j.saa.2020.118877] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/22/2020] [Revised: 08/06/2020] [Accepted: 08/20/2020] [Indexed: 06/11/2023]
Abstract
This work aimed to investigate and compare the composition and the physicochemical properties of 18 different sources of edible vegetable oils. A systematic study on the correlation between composition and physical properties was performed using Fourier Transform Infrared (FTIR) Spectroscopy and fatty acid chromatographic analysis. Principal component analysis of FTIR spectra is performed to classify edible oils concerning their physical properties. The results demonstrate the potentiality of the method associated with multivariate statistics analysis as powerful, fast, and non-destructive tools for characterization and quality control of edible vegetable oils.
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Affiliation(s)
- Leandro S Herculano
- Departamento de Física, Universidade Tecnológica Federal do Paraná, Medianeira, PR 85884-000, Brazil.
| | - Gustavo V B Lukasievicz
- Departamento de Física, Universidade Tecnológica Federal do Paraná, Medianeira, PR 85884-000, Brazil
| | - Elizandra Sehn
- Departamento de Física, Universidade Tecnológica Federal do Paraná, Medianeira, PR 85884-000, Brazil
| | - Alex S Torquato
- Departamento de Química, Universidade Tecnológica Federal do Paraná, Medianeira, PR 85884-000, Brazil
| | - Marcos P Belançon
- Departamento de Física, Universidade Tecnológica Federal do Paraná, Pato Branco, PR 85503-390, Brazil
| | - Elton Savi
- Departamento de Física, Universidade Estadual de Maringá, Maringá, PR 87020-900, Brazil
| | - Newller M Kimura
- Departamento de Física, Universidade Estadual de Maringá, Maringá, PR 87020-900, Brazil
| | - Luis C Malacarne
- Departamento de Física, Universidade Estadual de Maringá, Maringá, PR 87020-900, Brazil
| | - Mauro L Baesso
- Departamento de Física, Universidade Estadual de Maringá, Maringá, PR 87020-900, Brazil
| | - Nelson G C Astrath
- Departamento de Física, Universidade Estadual de Maringá, Maringá, PR 87020-900, Brazil.
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16
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Comprehensive Review on Application of FTIR Spectroscopy Coupled with Chemometrics for Authentication Analysis of Fats and Oils in the Food Products. Molecules 2020; 25:molecules25225485. [PMID: 33238638 PMCID: PMC7700317 DOI: 10.3390/molecules25225485] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2020] [Revised: 11/18/2020] [Accepted: 11/20/2020] [Indexed: 11/16/2022] Open
Abstract
Currently, the authentication analysis of edible fats and oils is an emerging issue not only by producers but also by food industries, regulators, and consumers. The adulteration of high quality and expensive edible fats and oils as well as food products containing fats and oils with lower ones are typically motivated by economic reasons. Some analytical methods have been used for authentication analysis of food products, but some of them are complex in sampling preparation and involving sophisticated instruments. Therefore, simple and reliable methods are proposed and developed for these authentication purposes. This review highlighted the comprehensive reports on the application of infrared spectroscopy combined with chemometrics for authentication of fats and oils. New findings of this review included (1) FTIR spectroscopy combined with chemometrics, which has been used to authenticate fats and oils; (2) due to as fingerprint analytical tools, FTIR spectra have emerged as the most reported analytical techniques applied for authentication analysis of fats and oils; (3) the use of chemometrics as analytical data treatment is a must to extract the information from FTIR spectra to be understandable data. Next, the combination of FTIR spectroscopy with chemometrics must be proposed, developed, and standardized for authentication and assuring the quality of fats and oils.
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17
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Perez M, Lopez-Yerena A, Vallverdú-Queralt A. Traceability, authenticity and sustainability of cocoa and chocolate products: a challenge for the chocolate industry. Crit Rev Food Sci Nutr 2020; 62:475-489. [DOI: 10.1080/10408398.2020.1819769] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Affiliation(s)
- Maria Perez
- Department of Nutrition, Food Science and Gastronomy XaRTA, Institute of Nutrition and Food Safety (INSA-UB), Faculty of Pharmacy and Food Sciences, University of Barcelona, Barcelona, Spain
- Laboratory of Organic Chemistry, Faculty of Pharmacy and Food Sciences, University of Barcelona, Barcelona, Spain
| | - Anallely Lopez-Yerena
- Department of Nutrition, Food Science and Gastronomy XaRTA, Institute of Nutrition and Food Safety (INSA-UB), Faculty of Pharmacy and Food Sciences, University of Barcelona, Barcelona, Spain
| | - Anna Vallverdú-Queralt
- Department of Nutrition, Food Science and Gastronomy XaRTA, Institute of Nutrition and Food Safety (INSA-UB), Faculty of Pharmacy and Food Sciences, University of Barcelona, Barcelona, Spain
- Consorcio CIBER, M.P. Fisiopatología de la Obesidad y la Nutrición (CIBERObn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
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18
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Vieira PG, de Melo MM, Şen A, Simões MM, Portugal I, Pereira H, Silva CM. Quercus cerris extracts obtained by distinct separation methods and solvents: Total and friedelin extraction yields, and chemical similarity analysis by multidimensional scaling. Sep Purif Technol 2020. [DOI: 10.1016/j.seppur.2019.115924] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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19
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Use of FTIR Spectroscopy and Chemometrics with Respect to Storage Conditions of Moldavian Dragonhead Oil. SUSTAINABILITY 2019. [DOI: 10.3390/su11226414] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Oils often have similar properties and can be difficult to identify based on color, smell or taste alone. The present paper suggests the use of Fourier-transform infrared spectroscopy (FTIR) in combination with chemometric methods to explore similarities and differentiate between samples of Moldavian dragonhead oil subjected to different storage conditions. Dragonhead is a plant characterized by very good honey output and ease of cultivation. Principal component analysis (PCA) was applied to a standard, full range of FTIR spectra. Additionally, hierarchical cluster analysis (HCA) was employed to explore the organization of the samples in groups relative to their “proximity” (similarity), by way of Euclidean distance measurement. PC1 and PC2 accounted respectively for 85.4% and 10.1% of the total data variance. PC1 and PC2 were strongly, negatively correlated within the entire spectral range; the only exception was the region corresponding to νs(-C-Hvst, -CH2) vibrations (aliphatic groups in triglycerides), where PC2 was positively correlated. The use of FTIR spectral analysis revealed noticeable differences in the intensity of bands characteristic of the ageing processes (markers of oxidative processes, etc.) taking place in oleaginous samples and related to the processes of fatty acids oxidation.
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Simion IM, Sârbu C. The impact of the order of derivative spectra on the performance of pattern recognition methods. Classification of medicinal plants according to the phylum. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2019; 219:91-95. [PMID: 31030052 DOI: 10.1016/j.saa.2019.04.038] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/07/2019] [Revised: 04/17/2019] [Accepted: 04/17/2019] [Indexed: 06/09/2023]
Abstract
Data pre-processing is an important strategy in chemometrics and related fields because in many cases the transformation of data has a great effect on the performance of the method (model). However, a careful examination of the literature clearly points out that only very few systematic studies are dedicated to the effect of the derivative spectra on the performance of the pattern recognition methods. This comprehensive study compares the impact of the order of derivative spectra and other data pre-processing procedures (normalization and standardization) on the performance of cluster analysis, principal component analysis and discriminant analysis applied for characterization and classification of medicinal plants according to their phylum using UV spectra. The efficiency of the pre-processing methods was estimated by comparing the accuracy of classification and prediction measured by internal cross-validation. Derivatization method (1st order) resulted in the best classification (100%) of medicinal plants according to their phylum (Pteridophyte, Magnoliophyte and Spermatophyte) as compared to other pre-processing methods (normalized spectra-71.4%, standardized spectra-76.2% and original spectra-78.6%).
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Affiliation(s)
- Ileana Maria Simion
- Department of Chemistry, Babeş-Bolyai University, Faculty of Chemistry and Chemical Engineering, Cluj-Napoca, Romania
| | - Costel Sârbu
- Department of Chemistry, Babeş-Bolyai University, Faculty of Chemistry and Chemical Engineering, Cluj-Napoca, Romania.
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Chen Y, Chen Y, Feng X, Yang X, Zhang J, Qiu Z, He Y. Variety Identification of Orchids Using Fourier Transform Infrared Spectroscopy Combined with Stacked Sparse Auto-Encoder. Molecules 2019; 24:molecules24132506. [PMID: 31324007 PMCID: PMC6651824 DOI: 10.3390/molecules24132506] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2019] [Revised: 07/02/2019] [Accepted: 07/03/2019] [Indexed: 11/16/2022] Open
Abstract
The feasibility of using the fourier transform infrared (FTIR) spectroscopic technique with a stacked sparse auto-encoder (SSAE) to identify orchid varieties was studied. Spectral data of 13 orchids varieties covering the spectral range of 4000-550 cm-1 were acquired to establish discriminant models and to select optimal spectral variables. K nearest neighbors (KNN), support vector machine (SVM), and SSAE models were built using full spectra. The SSAE model performed better than the KNN and SVM models and obtained a classification accuracy 99.4% in the calibration set and 97.9% in the prediction set. Then, three algorithms, principal component analysis loading (PCA-loading), competitive adaptive reweighted sampling (CARS), and stacked sparse auto-encoder guided backward (SSAE-GB), were used to select 39, 300, and 38 optimal wavenumbers, respectively. The KNN and SVM models were built based on optimal wavenumbers. Most of the optimal wavenumbers-based models performed slightly better than the all wavenumbers-based models. The performance of the SSAE-GB was better than the other two from the perspective of the accuracy of the discriminant models and the number of optimal wavenumbers. The results of this study showed that the FTIR spectroscopic technique combined with the SSAE algorithm could be adopted in the identification of the orchid varieties.
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Affiliation(s)
- Yunfeng Chen
- College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, China
| | - Yue Chen
- Institute of Horticulture, Zhejiang Academy of Agriculture Science, Hangzhou 310021, China
| | - Xuping Feng
- College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, China
| | - Xufeng Yang
- College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, China
| | - Jinnuo Zhang
- College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, China
| | - Zhengjun Qiu
- College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, China.
| | - Yong He
- College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, China
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22
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Su WH, Bakalis S, Sun DW. Potato hierarchical clustering and doneness degree determination by near-infrared (NIR) and attenuated total reflectance mid-infrared (ATR-MIR) spectroscopy. JOURNAL OF FOOD MEASUREMENT AND CHARACTERIZATION 2019. [DOI: 10.1007/s11694-019-00037-3] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/17/2023]
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23
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Chen J, Zhang L, Geng Q, Jing B, Yu X. Determination of Total Polar Compounds in Frying Oils by PE-Film-Based FTIR and ATR-FTIR Spectroscopy. EUR J LIPID SCI TECH 2018. [DOI: 10.1002/ejlt.201800250] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/31/2023]
Affiliation(s)
- Jia Chen
- College of Food Science and Engineering, Northwest A&F University; 22 Xinong Road Yangling 712100 Shaanxi P. R. China
| | - Leshan Zhang
- College of Food Science and Engineering, Northwest A&F University; 22 Xinong Road Yangling 712100 Shaanxi P. R. China
| | - Qiaona Geng
- College of Food Science and Engineering, Northwest A&F University; 22 Xinong Road Yangling 712100 Shaanxi P. R. China
| | - Bingyu Jing
- College of Food Science and Engineering, Northwest A&F University; 22 Xinong Road Yangling 712100 Shaanxi P. R. China
| | - Xiuzhu Yu
- College of Food Science and Engineering, Northwest A&F University; 22 Xinong Road Yangling 712100 Shaanxi P. R. China
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24
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Extraction of Eucalyptus leaves using solvents of distinct polarity. Cluster analysis and extracts characterization. J Supercrit Fluids 2018. [DOI: 10.1016/j.supflu.2018.01.010] [Citation(s) in RCA: 26] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
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25
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Herman-Lara E, Tejeda-Paz M, Martínez-Sánchez CE, Rodríguez-Miranda J, Ramírez-Rivera EJ, Hernández-Santos B, Juárez-Barrientos JM. Differential scanning calorimetry coupled with chemometric tools for determining adulteration with vegetable fat in fresh cheeses. Lebensm Wiss Technol 2017. [DOI: 10.1016/j.lwt.2017.07.036] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
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26
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Machado N, Oppolzer D, Ramos A, Ferreira L, Rosa EA, Rodrigues M, Domínguez-Perles R, Barros AI. Evaluating the freezing impact on the proximate composition of immature cowpea (Vigna unguiculata L.) pods: classical versus spectroscopic approaches. JOURNAL OF THE SCIENCE OF FOOD AND AGRICULTURE 2017; 97:4295-4305. [PMID: 28276078 DOI: 10.1002/jsfa.8305] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/23/2016] [Revised: 02/10/2017] [Accepted: 03/05/2017] [Indexed: 06/06/2023]
Abstract
BACKGROUND Freezing represents a common conservation practice regarding vegetal foodstuffs. Since compositional features need to be monitored during storage, the development of rapid monitoring tools suitable for assessing nutritional characteristics arises as a pertinent issue. In this study, cowpea (Vigna unguiculata L.) pods, both fresh and after 6 and 9 months of freezing at -18 °C, were evaluated by high-performance liquid chromatography for their content of protein as well as of essential and nonessential amino acids, while their Fourier transform infrared spectra in the mid infrared (MIR) and near infrared (NIR) ranges were concomitantly registered to assess the feasibility of this approach for the traceability of these frozen matrices. RESULTS For the NIR interval, the application of the 1st derivative to the spectral data retrieved the best results, while for lower concentrations the application of the Savitzky-Golay algorithm was indispensable to achieve quantification models for the amino acids. MIR is also suitable for this purpose, though being unable to quantify amino acids with concentrations below 0.07 mmol g-1 dry weight, irrespective of the data treatment used. CONCLUSIONS The spectroscopic approach constitutes a methodology suitable for monitoring the impact of freezing on the nutritional properties of cowpea pods, allowing accurate quantification of the protein and amino acid contents, while NIR displayed better performance. © 2017 Society of Chemical Industry.
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Affiliation(s)
- Nelson Machado
- Centre for the Research and Technology of Agro-Environmental and Biological Sciences, University of Trás-os-Montes and Alto Douro (UTAD-CITAB), Vila Real, Portugal
| | - David Oppolzer
- Centre for the Research and Technology of Agro-Environmental and Biological Sciences, University of Trás-os-Montes and Alto Douro (UTAD-CITAB), Vila Real, Portugal
| | - Ana Ramos
- Centre for the Research and Technology of Agro-Environmental and Biological Sciences, University of Trás-os-Montes and Alto Douro (UTAD-CITAB), Vila Real, Portugal
| | - Luis Ferreira
- The Animal and Veterinary Research Centre, University of Trás-os-Montes and Alto Douro (UTAD-CECAV), Department of Veterinary Sciences, Vila Real, Portugal
| | - Eduardo As Rosa
- Centre for the Research and Technology of Agro-Environmental and Biological Sciences, University of Trás-os-Montes and Alto Douro (UTAD-CITAB), Vila Real, Portugal
| | - Miguel Rodrigues
- The Animal and Veterinary Research Centre, University of Trás-os-Montes and Alto Douro (UTAD-CECAV), Department of Veterinary Sciences, Vila Real, Portugal
| | - Raúl Domínguez-Perles
- Centre for the Research and Technology of Agro-Environmental and Biological Sciences, University of Trás-os-Montes and Alto Douro (UTAD-CITAB), Vila Real, Portugal
| | - Ana Irna Barros
- Centre for the Research and Technology of Agro-Environmental and Biological Sciences, University of Trás-os-Montes and Alto Douro (UTAD-CITAB), Vila Real, Portugal
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Machado N, Domínguez-Perles R, Ramos A, Rosa EA, Barros AI. Spectrophotometric versus NIR-MIR assessments of cowpea pods for discriminating the impact of freezing. JOURNAL OF THE SCIENCE OF FOOD AND AGRICULTURE 2017; 97:4285-4294. [PMID: 28182278 DOI: 10.1002/jsfa.8251] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/23/2016] [Revised: 12/16/2016] [Accepted: 01/31/2017] [Indexed: 06/06/2023]
Abstract
BACKGROUND Freezing represents an important storage method for vegetal foodstuffs, such as cowpea pods, and thus the impact of this process on the chemical composition of these matrices arises as a prominent issue. In this sense, the phytochemical contents in frozen cowpea pods (i.e. at 6 and 9 months) have been compared with fresh cowpea pods material, with the samples being concomitantly assessed by Fourier-transform infrared spectroscopy (FTIR), both mid-infrared (MIR) and near infrared (NIR), aiming to evaluate the potential of these techniques as a rapid tool for the traceability of these matrices. RESULTS A decrease in phytochemical contents during freezing was observed, allowing the classification of samples according to the freezing period based on such variations. Also, MIR and NIR allowed discrimination of samples: the use of the first derivative demonstrated a better performance for this purpose, whereas the use of the normalized spectra gave the best correlations between the spectra and specific contents. In both cases, NIR displayed the best performance. CONCLUSION Freezing of cowpea pods leads to a decrease of phytochemical contents, which can be monitored by FTIR spectroscopy, both within the MIR and NIR ranges, whereas the use of this technique, in tandem with chemometrics, constitutes a suitable methodology for the traceability of these matrices. © 2017 Society of Chemical Industry.
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Affiliation(s)
- Nelson Machado
- UTAD-CITAB - Centre for the Research and Technology of Agro-Environmental and Biological Sciences, University of Trás-os-Montes and Alto, Vila Real, Portugal
| | - Raúl Domínguez-Perles
- UTAD-CITAB - Centre for the Research and Technology of Agro-Environmental and Biological Sciences, University of Trás-os-Montes and Alto, Vila Real, Portugal
| | - Ana Ramos
- UTAD-CITAB - Centre for the Research and Technology of Agro-Environmental and Biological Sciences, University of Trás-os-Montes and Alto, Vila Real, Portugal
| | - Eduardo As Rosa
- UTAD-CITAB - Centre for the Research and Technology of Agro-Environmental and Biological Sciences, University of Trás-os-Montes and Alto, Vila Real, Portugal
| | - Ana Irna Barros
- UTAD-CITAB - Centre for the Research and Technology of Agro-Environmental and Biological Sciences, University of Trás-os-Montes and Alto, Vila Real, Portugal
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28
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Authenticity Tracing of Apples According to Variety and Geographical Origin Based on Electronic Nose and Electronic Tongue. FOOD ANAL METHOD 2017. [DOI: 10.1007/s12161-017-1023-y] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
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Cao Z, Wang Z, Shang Z, Zhao J. Classification and identification of Rhodobryum roseum Limpr. and its adulterants based on fourier-transform infrared spectroscopy (FTIR) and chemometrics. PLoS One 2017; 12:e0172359. [PMID: 28207900 PMCID: PMC5313229 DOI: 10.1371/journal.pone.0172359] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2016] [Accepted: 02/04/2017] [Indexed: 11/19/2022] Open
Abstract
Fourier-transform infrared spectroscopy (FTIR) with the attenuated total reflectance technique was used to identify Rhodobryum roseum from its four adulterants. The FTIR spectra of six samples in the range from 4000 cm-1 to 600 cm-1 were obtained. The second-derivative transformation test was used to identify the small and nearby absorption peaks. A cluster analysis was performed to classify the spectra in a dendrogram based on the spectral similarity. Principal component analysis (PCA) was used to classify the species of six moss samples. A cluster analysis with PCA was used to identify different genera. However, some species of the same genus exhibited highly similar chemical components and FTIR spectra. Fourier self-deconvolution and discrete wavelet transform (DWT) were used to enhance the differences among the species with similar chemical components and FTIR spectra. Three scales were selected as the feature-extracting space in the DWT domain. The results show that FTIR spectroscopy with chemometrics is suitable for identifying Rhodobryum roseum and its adulterants.
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Affiliation(s)
- Zhen Cao
- College of Life Science, Hebei Normal University, Shijiazhuang, China
- Hebei College of Industry and Technology, Shijiazhuang, China
| | - Zhenjie Wang
- Hebei College of Industry and Technology, Shijiazhuang, China
| | - Zhonglin Shang
- College of Life Science, Hebei Normal University, Shijiazhuang, China
| | - Jiancheng Zhao
- College of Life Science, Hebei Normal University, Shijiazhuang, China
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30
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Rapid authentication of starch adulterations in ultrafine granular powder of Shanyao by near-infrared spectroscopy coupled with chemometric methods. Food Chem 2017; 215:108-15. [DOI: 10.1016/j.foodchem.2016.07.156] [Citation(s) in RCA: 64] [Impact Index Per Article: 9.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2016] [Revised: 07/26/2016] [Accepted: 07/28/2016] [Indexed: 12/28/2022]
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31
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Mahesar SA, Shah SN, Mahesar AW, Kandhro AA, Khaskheli AR, Menghwar P, Sherazi STH. A chemometric approach for the quantification of free fatty acids in cottonseed oil by Fourier transform infrared spectroscopy. INTERNATIONAL JOURNAL OF FOOD PROPERTIES 2016. [DOI: 10.1080/10942912.2016.1223129] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Affiliation(s)
- Sarfaraz Ahmed Mahesar
- National Centre of Excellence in Analytical Chemistry, University of Sindh, Jamshoro, Pakistan
| | - Syed Nasrullah Shah
- National Centre of Excellence in Analytical Chemistry, University of Sindh, Jamshoro, Pakistan
| | - Abdul Waheed Mahesar
- Institute of Information and Communication Technology, University of Sindh, Jamshoro, Pakistan
| | - Aftab Ahmed Kandhro
- Dr. M.A. Kazi Institute of Chemistry, University of Sindh, Jamshoro, Pakistan
| | - Abdul Rauf Khaskheli
- Department of Pharmacy, Shaheed Mohtarma Benazir Bhutto Medical University, Larkana, Pakistan
| | - Pertab Menghwar
- National Centre of Excellence in Analytical Chemistry, University of Sindh, Jamshoro, Pakistan
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Márquez C, López MI, Ruisánchez I, Callao MP. FT-Raman and NIR spectroscopy data fusion strategy for multivariate qualitative analysis of food fraud. Talanta 2016; 161:80-86. [DOI: 10.1016/j.talanta.2016.08.003] [Citation(s) in RCA: 101] [Impact Index Per Article: 12.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2016] [Revised: 07/28/2016] [Accepted: 08/01/2016] [Indexed: 11/15/2022]
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Cros J, Bazin D, Kellum A, Rebours V, Daudon M. Investigation at the micrometer scale of pancreatic calcifications in chronic pancreatitis by μFTIR spectroscopy and field emission scanning electron microscopy. CR CHIM 2016. [DOI: 10.1016/j.crci.2015.06.015] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
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34
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Valli E, Bendini A, Berardinelli A, Ragni L, Riccò B, Grossi M, Gallina Toschi T. Rapid and innovative instrumental approaches for quality and authenticity of olive oils. EUR J LIPID SCI TECH 2016. [DOI: 10.1002/ejlt.201600065] [Citation(s) in RCA: 47] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Affiliation(s)
- Enrico Valli
- Department of Agricultural and Food Sciences (DiSTAL); Alma Mater Studiorum − University of Bologna; Bologna Italy
| | - Alessandra Bendini
- Department of Agricultural and Food Sciences (DiSTAL); Alma Mater Studiorum − University of Bologna; Bologna Italy
| | - Annachiara Berardinelli
- Department of Agricultural and Food Sciences (DiSTAL); Alma Mater Studiorum − University of Bologna; Bologna Italy
| | - Luigi Ragni
- Department of Agricultural and Food Sciences (DiSTAL); Alma Mater Studiorum − University of Bologna; Bologna Italy
| | - Bruno Riccò
- Department of Electrical, Electronic and Information Engineering “Guglielmo Marconi” (DEI); Alma Mater Studiorum − University of Bologna; Bologna Italy
| | - Marco Grossi
- Department of Electrical, Electronic and Information Engineering “Guglielmo Marconi” (DEI); Alma Mater Studiorum − University of Bologna; Bologna Italy
| | - Tullia Gallina Toschi
- Department of Agricultural and Food Sciences (DiSTAL); Alma Mater Studiorum − University of Bologna; Bologna Italy
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35
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Li Y, Zhang J, Jin H, Liu H, Wang Y. Ultraviolet spectroscopy combined with ultra-fast liquid chromatography and multivariate statistical analysis for quality assessment of wild Wolfiporia extensa from different geographical origins. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2016; 165:61-68. [PMID: 27111154 DOI: 10.1016/j.saa.2016.04.012] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/30/2015] [Revised: 04/01/2016] [Accepted: 04/04/2016] [Indexed: 06/05/2023]
Abstract
A quality assessment system comprised of a tandem technique of ultraviolet (UV) spectroscopy and ultra-fast liquid chromatography (UFLC) aided by multivariate analysis was presented for the determination of geographic origin of Wolfiporia extensa collected from five regions in Yunnan Province of China. Characteristic UV spectroscopic fingerprints of samples were determined based on its methanol extract. UFLC was applied for the determination of pachymic acid (a biomarker) presented in individual test samples. The spectrum data matrix and the content of pachymic acid were integrated and analyzed by partial least squares discriminant analysis (PLS-DA) and hierarchical cluster analysis (HCA). The results showed that chemical properties of samples were clearly dominated by the epidermis and inner part as well as geographical origins. The relationships among samples obtained from these five regions have been also presented. Moreover, an interesting finding implied that geographical origins had much greater influence on the chemical properties of epidermis compared with that of the inner part. This study demonstrated that a rapid tool for accurate discrimination of W. extensa by UV spectroscopy and UFLC could be available for quality control of complicated medicinal mushrooms.
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Affiliation(s)
- Yan Li
- Institute of Medicinal Plants, Yunnan Academy of Agricultural Sciences, Kunming 650200, PR China; Yunnan Technical Center for Quality of Chinese Materia Medica, Kunming 650200, PR China; College of Traditional Chinese Medicine, Yunnan University of Traditional Chinese Medicine, Kunming 650500, PR China
| | - Ji Zhang
- Institute of Medicinal Plants, Yunnan Academy of Agricultural Sciences, Kunming 650200, PR China; Yunnan Technical Center for Quality of Chinese Materia Medica, Kunming 650200, PR China
| | - Hang Jin
- Institute of Medicinal Plants, Yunnan Academy of Agricultural Sciences, Kunming 650200, PR China; Yunnan Technical Center for Quality of Chinese Materia Medica, Kunming 650200, PR China
| | - Honggao Liu
- College of Food Science and Technology, Yunnan Agricultural University, Kunming 650201, PR China
| | - Yuanzhong Wang
- Institute of Medicinal Plants, Yunnan Academy of Agricultural Sciences, Kunming 650200, PR China; Yunnan Technical Center for Quality of Chinese Materia Medica, Kunming 650200, PR China.
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Ocvirk M, Grdadolnik J, Košir IJ. Determination of the botanical origin of hops (Humulus lupulusL.) using different analytical techniques in combination with statistical methods. JOURNAL OF THE INSTITUTE OF BREWING 2016. [DOI: 10.1002/jib.343] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Affiliation(s)
- Miha Ocvirk
- Institute for Hop Research and Brewing; Cesta Žalskega Tabora 2; SI-3310 Slovenia
| | - Jože Grdadolnik
- National Institute of Chemistry; Hajdrihova 19; SI-1000 Ljubljana Slovenia
| | - Iztok Jože Košir
- Institute for Hop Research and Brewing; Cesta Žalskega Tabora 2; SI-3310 Slovenia
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37
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De Luca M, Restuccia D, Clodoveo ML, Puoci F, Ragno G. Chemometric analysis for discrimination of extra virgin olive oils from whole and stoned olive pastes. Food Chem 2016; 202:432-7. [DOI: 10.1016/j.foodchem.2016.02.018] [Citation(s) in RCA: 32] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2015] [Revised: 09/29/2015] [Accepted: 02/01/2016] [Indexed: 10/22/2022]
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38
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Chemometric applications to assess quality and critical parameters of virgin and extra-virgin olive oil. A review. Anal Chim Acta 2016; 913:1-21. [PMID: 26944986 DOI: 10.1016/j.aca.2016.01.025] [Citation(s) in RCA: 110] [Impact Index Per Article: 13.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2015] [Revised: 01/06/2016] [Accepted: 01/15/2016] [Indexed: 11/20/2022]
Abstract
Today virgin and extra-virgin olive oil (VOO and EVOO) are food with a large number of analytical tests planned to ensure its quality and genuineness. Almost all official methods demand high use of reagents and manpower. Because of that, analytical development in this area is continuously evolving. Therefore, this review focuses on analytical methods for EVOO/VOO which use fast and smart approaches based on chemometric techniques in order to reduce time of analysis, reagent consumption, high cost equipment and manpower. Experimental approaches of chemometrics coupled with fast analytical techniques such as UV-Vis spectroscopy, fluorescence, vibrational spectroscopies (NIR, MIR and Raman fluorescence), NMR spectroscopy, and other more complex techniques like chromatography, calorimetry and electrochemical techniques applied to EVOO/VOO production and analysis have been discussed throughout this work. The advantages and drawbacks of this association have also been highlighted. Chemometrics has been evidenced as a powerful tool for the oil industry. In fact, it has been shown how chemometrics can be implemented all along the different steps of EVOO/VOO production: raw material input control, monitoring during process and quality control of final product.
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Osorio MT, Haughey SA, Elliott CT, Koidis A. Identification of vegetable oil botanical speciation in refined vegetable oil blends using an innovative combination of chromatographic and spectroscopic techniques. Food Chem 2015; 189:67-73. [DOI: 10.1016/j.foodchem.2014.11.164] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2014] [Revised: 11/11/2014] [Accepted: 11/28/2014] [Indexed: 10/24/2022]
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40
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Bajoub A, Medina-Rodríguez S, Hurtado-Fernández E, Ajal EA, Ouazzani N, Fernández-Gutiérrez A, Carrasco-Pancorbo A. A first approach towards the development of geographical origin tracing models for North Moroccan olive oils based on triacylglycerols profiles. EUR J LIPID SCI TECH 2015. [DOI: 10.1002/ejlt.201500251] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/18/2023]
Affiliation(s)
- Aadil Bajoub
- Department of Analytical Chemistry, Faculty of Sciences; University of Granada; Granada Spain
| | | | - Elena Hurtado-Fernández
- Department of Analytical Chemistry, Faculty of Sciences; University of Granada; Granada Spain
| | - El Amine Ajal
- Provincial Department of Agriculture of Azilal; Azilal Morocco
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Hirri A, Bassbasi M, Platikanov S, Tauler R, Oussama A. FTIR Spectroscopy and PLS-DA Classification and Prediction of Four Commercial Grade Virgin Olive Oils from Morocco. FOOD ANAL METHOD 2015. [DOI: 10.1007/s12161-015-0255-y] [Citation(s) in RCA: 53] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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42
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Ruzik L, Obarski N, Papierz A, Mojski M. Assessment of repeatability of composition of perfumed waters by high-performance liquid chromatography combined with numerical data analysis based on cluster analysis (HPLC UV/VIS - CA). Int J Cosmet Sci 2015; 37:348-56. [DOI: 10.1111/ics.12195] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2014] [Accepted: 10/21/2014] [Indexed: 11/28/2022]
Affiliation(s)
- L. Ruzik
- Chair of Analytical Chemistry; Faculty of Chemistry; Warsaw University of Technology; Noakowskiego 3 00-664 Warsaw Poland
| | - N. Obarski
- Chair of Analytical Chemistry; Faculty of Chemistry; Warsaw University of Technology; Noakowskiego 3 00-664 Warsaw Poland
| | - A. Papierz
- Chair of Analytical Chemistry; Faculty of Chemistry; Warsaw University of Technology; Noakowskiego 3 00-664 Warsaw Poland
| | - M. Mojski
- Chair of Analytical Chemistry; Faculty of Chemistry; Warsaw University of Technology; Noakowskiego 3 00-664 Warsaw Poland
- Academy of Cosmetics and Health Care; Podwale 13 00-252 Warsaw Poland
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43
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Rohman A, Che Man Y, Nurrulhidayah A. Fourier-Transform Infrared Spectra Combined with Chemometrics and Fatty Acid Composition for Analysis of Pumpkin Seed Oil Blended Into Olive Oil. INTERNATIONAL JOURNAL OF FOOD PROPERTIES 2015. [DOI: 10.1080/10942912.2012.654564] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
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44
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Bagur-González MG, Pérez-Castaño E, Sánchez-Viñas M, Gázquez-Evangelista D. Using the liquid-chromatographic-fingerprint of sterols fraction to discriminate virgin olive from other edible oils. J Chromatogr A 2014; 1380:64-70. [PMID: 25591401 DOI: 10.1016/j.chroma.2014.12.052] [Citation(s) in RCA: 32] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2014] [Revised: 12/06/2014] [Accepted: 12/18/2014] [Indexed: 12/01/2022]
Abstract
A method to discriminate virgin olive oil from other edible vegetable oils such as, sunflower, pomace olive, rapeseed, canola, corn and soybean, applying chemometric techniques to the liquid chromatographic representative fingerprint of sterols fraction, is proposed. After a pre-treatment of the LC chromatogram data - including baseline correction, smoothing signal and mean centering - different unsupervised and supervised pattern recognition procedures, such as principal component analysis (PCA), hierarchical cluster analysis (HCA), and partial least squares-discriminant analysis (PLSDA), have been applied. From the information obtained from PCA and HCA, two groups can be clearly distinguished (virgin olive and the rest of vegetable oils tested) which have been used to discriminate between two defined classes by means of a PLSDA model. Five latent variables (LVs) explained 76.88% of X-block variance and 95.47% of the defined classes block (γ-block) variance. A root mean square error for calibration and cross validation of 0.10 and 0.22 respectively, confirmed these results and a root mean square error for prediction of 0.15 evidences that the classification model proposed presents an adequate prediction capability. The contingency table also shows the good performance of the model, proving the capability of the LC-R-FpM, to discriminate virgin olive from other vegetable edible oils.
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Affiliation(s)
- M G Bagur-González
- Department of Analytical Chemistry, Faculty of Sciences, University of Granada, Avda. Fuentenueva s/n, 18071 Granada, Spain.
| | - E Pérez-Castaño
- Department of Analytical Chemistry, Faculty of Sciences, University of Granada, Avda. Fuentenueva s/n, 18071 Granada, Spain
| | - M Sánchez-Viñas
- Department of Analytical Chemistry, Faculty of Sciences, University of Granada, Avda. Fuentenueva s/n, 18071 Granada, Spain
| | - D Gázquez-Evangelista
- Department of Analytical Chemistry, Faculty of Sciences, University of Granada, Avda. Fuentenueva s/n, 18071 Granada, Spain
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45
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Methods for PDO olive oils traceability: state of art and discussion about the possible contribution of strontium isotopic tool. Eur Food Res Technol 2014. [DOI: 10.1007/s00217-014-2279-8] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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46
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Esslinger S, Riedl J, Fauhl-Hassek C. Potential and limitations of non-targeted fingerprinting for authentication of food in official control. Food Res Int 2014. [DOI: 10.1016/j.foodres.2013.10.015] [Citation(s) in RCA: 120] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
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47
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48
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Prediction of the geographical origin of butters by partial least square discriminant analysis (PLS-DA) applied to infrared spectroscopy (FTIR) data. J Food Compost Anal 2014. [DOI: 10.1016/j.jfca.2013.11.010] [Citation(s) in RCA: 77] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
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49
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Using offline HPLC-GC-FID 4-Desmethylsterols Concentration Profiles, Combined with Chemometric Tools, to Discriminate Different Vegetable Oils. FOOD ANAL METHOD 2013. [DOI: 10.1007/s12161-013-9773-7] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
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50
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Liu J, Wen Y, Dong N, Lai C, Zhao G. Authentication of lotus root powder adulterated with potato starch and/or sweet potato starch using Fourier transform mid-infrared spectroscopy. Food Chem 2013; 141:3103-9. [DOI: 10.1016/j.foodchem.2013.05.155] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2012] [Revised: 12/11/2012] [Accepted: 05/02/2013] [Indexed: 10/26/2022]
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