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Application of a Cost-Effective Visible/Near Infrared Optical Prototype for the Measurement of Qualitative Parameters of Chardonnay Grapes. APPLIED SCIENCES-BASEL 2022. [DOI: 10.3390/app12104853] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
In this paper, a cost-effective visible/near infrared optical prototype was tested for grape maturity monitoring. The device was used to quantify the qualitative parameters of Chardonnay grapes, based on the combination of spectroscopic data and the creation of predictive models. The optical acquisitions were performed directly in the field through the use of 12 wavelengths in the vis/NIR range, i.e., 450, 500, 550, 570, 600, 610, 650, 680, 730, 760, 810 and 860 nanometers. The prediction of the qualitative parameters was carried out through a multivariate model, partial least square (PLS) regression technique and built knowing the real values of the parameters, i.e., total soluble solids (TSS), titratable acidity (TA) and pH measured through the reference laboratory analyses. Sampling included two harvest years. The most efficient model was the one for TSS evaluation that gave a R2 = 0.87 (independent test set validation). The results demonstrated that the optical device is able to provide useful information about the ripening parameters of Chardonnay grapes directly in the field in order to predict its correct maturation stage and, therefore, support operators in rapid and objective decision making. Overall, the use of the prototype promotes a sustainable approach and viticulture 4.0.
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Briganti S, Truglio M, Angiolillo A, Lombardo S, Leccese D, Camera E, Picardo M, Di Costanzo A. Application of Sebum Lipidomics to Biomarkers Discovery in Neurodegenerative Diseases. Metabolites 2021; 11:metabo11120819. [PMID: 34940576 PMCID: PMC8708591 DOI: 10.3390/metabo11120819] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2021] [Revised: 11/16/2021] [Accepted: 11/24/2021] [Indexed: 02/06/2023] Open
Abstract
Lipidomics is strategic in the discovery of biomarkers of neurodegenerative diseases (NDDs). The skin surface lipidome bears the potential to provide biomarker candidates in the detection of pathological processes occurring in distal organs. We investigated the sebum composition to search diagnostic and, possibly, prognostic, biomarkers of Alzheimer’s disease (AD) and Parkinson’s disease (PD). The observational study included 64 subjects: 20 characterized as “probable AD with documented decline”, 20 as “clinically established PD”, and 24 healthy subjects (HS) of comparable age. The analysis of sebum by GCMS and TLC retrieved the amounts (µg) of 41 free fatty acids (FFAs), 7 fatty alcohols (FOHs), vitamin E, cholesterol, squalene, and total triglycerides (TGs) and wax esters (WEs). Distributions of sebum lipids in NDDs and healthy conditions were investigated with multivariate ANOVA-simultaneous component analysis (ASCA). The deranged sebum composition associated with the PD group showed incretion of most composing lipids compared to HS, whereas only two lipid species (vitamin E and FOH14:0) were discriminant of AD samples and presented lower levels than HS sebum. Thus, sebum lipid biosynthetic pathways are differently affected in PD and AD. The characteristic sebum bio-signatures detected support the value of sebum lipidomics in the biomarkers search in NDDs.
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Affiliation(s)
- Stefania Briganti
- Laboratory of Cutaneous Physiopathology, San Gallicano Dermatological Institute—IRCCS, Via Elio Chianesi 53, 00144 Rome, Italy; (S.B.); (M.T.); (M.P.)
| | - Mauro Truglio
- Laboratory of Cutaneous Physiopathology, San Gallicano Dermatological Institute—IRCCS, Via Elio Chianesi 53, 00144 Rome, Italy; (S.B.); (M.T.); (M.P.)
| | - Antonella Angiolillo
- Centre for Research and Training in Medicine of Aging, Department of Medicine and Health Science “V. Tiberio”, University of Molise, Via De Santis, 86100 Campobasso, Italy; (A.A.); (S.L.); (D.L.); (A.D.C.)
| | - Salvatore Lombardo
- Centre for Research and Training in Medicine of Aging, Department of Medicine and Health Science “V. Tiberio”, University of Molise, Via De Santis, 86100 Campobasso, Italy; (A.A.); (S.L.); (D.L.); (A.D.C.)
| | - Deborah Leccese
- Centre for Research and Training in Medicine of Aging, Department of Medicine and Health Science “V. Tiberio”, University of Molise, Via De Santis, 86100 Campobasso, Italy; (A.A.); (S.L.); (D.L.); (A.D.C.)
| | - Emanuela Camera
- Laboratory of Cutaneous Physiopathology, San Gallicano Dermatological Institute—IRCCS, Via Elio Chianesi 53, 00144 Rome, Italy; (S.B.); (M.T.); (M.P.)
- Correspondence: ; Tel.: +39-06-5266-6241; Fax: +39-06-5266-6247
| | - Mauro Picardo
- Laboratory of Cutaneous Physiopathology, San Gallicano Dermatological Institute—IRCCS, Via Elio Chianesi 53, 00144 Rome, Italy; (S.B.); (M.T.); (M.P.)
| | - Alfonso Di Costanzo
- Centre for Research and Training in Medicine of Aging, Department of Medicine and Health Science “V. Tiberio”, University of Molise, Via De Santis, 86100 Campobasso, Italy; (A.A.); (S.L.); (D.L.); (A.D.C.)
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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.
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Xie H, Li X, Ren Z, Qiu W, Chen J, Jiang Q, Chen B, Chen D. Antioxidant and Cytoprotective Effects of Tibetan Tea and Its Phenolic Components. Molecules 2018; 23:molecules23020179. [PMID: 29364183 PMCID: PMC6017439 DOI: 10.3390/molecules23020179] [Citation(s) in RCA: 25] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2017] [Revised: 01/22/2018] [Accepted: 01/23/2018] [Indexed: 11/30/2022] Open
Abstract
Tibetan tea (Kangzhuan) is an essential beverage of the Tibetan people. In this study, a lyophilized aqueous extract of Tibetan tea (LATT) was prepared and analyzed by HPLC. The results suggested that there were at least five phenolic components, including gallic acid, and four catechins (i.e., (+)-catechin, (−)-catechin gallate (CG), (−)-epicatechin gallate (ECG), and (−)-epigallocatechin gallate). Gallic acid, the four catechins, and LATT were then comparatively investigated by four antioxidant assays: ferric reducing antioxidant power, 2-phenyl-4,4,5,5-tetramethylimidazoline-1-oxyl 3-oxide radical (PTIO•) scavenging, 1,1-diphenyl-2-picryl-hydrazl radical scavenging, and 2,2′-azino-bis(3-ethylbenzo-thiazoline-6-sulfonic acid) radical scavenging assays. In these assays, LATT, along with the five phenolic components, increased their antioxidant effects in a concentration-dependent manner; however, the half maximal scavenging concentrations of ECG were always lower than those of CG. Gallic acid and the four catechins were also suggested to chelate Fe2+ based on UV-visible spectral analysis. Ultra-performance liquid chromatography coupled with electrospray ionization quadrupole time-of-flight tandem mass spectrometry (UPLC−ESI−Q−TOF−MS/MS) analysis suggested that, when mixed with PTIO•, the five phenolic components could yield two types of radical adduct formation (RAF) products (i.e., tea phenolic dimers and tea phenolic-PTIO• adducts). In a flow cytometry assay, (+)-catechin and LATT was observed to have a cytoprotective effect towards oxidative-stressed bone marrow-derived mesenchymal stem cells. Based on this evidence, we concluded that LATT possesses antioxidative or cytoprotective properties. These effects may mainly be attributed to the presence of phenolic components, including gallic acid and the four catechins. These phenolic components may undergo electron transfer, H+-transfer, and Fe2+-chelating pathways to exhibit antioxidative or cytoprotective effects. In these effects, two diastereoisomeric CG and ECG showed differences to which a steric effect from the 2-carbon may contribute. Phenolic component decay may cause RAF in the antioxidant process.
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Affiliation(s)
- Hong Xie
- School of Chinese Herbal Medicine, Guangzhou University of Chinese Medicine, Guangzhou 510006, China.
- Innovative Research & Development Laboratory of TCM, Guangzhou University of Chinese Medicine, Guangzhou 510006, China; Guangzhou 510006, China.
| | - Xican Li
- School of Chinese Herbal Medicine, Guangzhou University of Chinese Medicine, Guangzhou 510006, China.
- Innovative Research & Development Laboratory of TCM, Guangzhou University of Chinese Medicine, Guangzhou 510006, China; Guangzhou 510006, China.
| | - Zhenxing Ren
- School of Basic Medical Science, Guangzhou University of Chinese Medicine, Guangzhou 510006, China.
- The Research Center of Basic Integrative Medicine, Guangzhou University of Chinese Medicine, Guangzhou 510006, China.
| | - Weimin Qiu
- School of Chinese Herbal Medicine, Guangzhou University of Chinese Medicine, Guangzhou 510006, China.
| | - Jianlan Chen
- School of Chinese Herbal Medicine, Guangzhou University of Chinese Medicine, Guangzhou 510006, China.
| | - Qian Jiang
- School of Chinese Herbal Medicine, Guangzhou University of Chinese Medicine, Guangzhou 510006, China.
- Innovative Research & Development Laboratory of TCM, Guangzhou University of Chinese Medicine, Guangzhou 510006, China; Guangzhou 510006, China.
| | - Ban Chen
- School of Chinese Herbal Medicine, Guangzhou University of Chinese Medicine, Guangzhou 510006, China.
- Innovative Research & Development Laboratory of TCM, Guangzhou University of Chinese Medicine, Guangzhou 510006, China; Guangzhou 510006, China.
| | - Dongfeng Chen
- School of Basic Medical Science, Guangzhou University of Chinese Medicine, Guangzhou 510006, China.
- The Research Center of Basic Integrative Medicine, Guangzhou University of Chinese Medicine, Guangzhou 510006, China.
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Tobin J, Walach J, de Beer D, Williams PJ, Filzmoser P, Walczak B. Untargeted analysis of chromatographic data for green and fermented rooibos: Problem with size effect removal. J Chromatogr A 2017; 1525:109-115. [PMID: 29037593 DOI: 10.1016/j.chroma.2017.10.024] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2017] [Revised: 10/02/2017] [Accepted: 10/08/2017] [Indexed: 10/18/2022]
Abstract
While analyzing chromatographic data, it is necessary to preprocess it properly before exploration and/or supervised modeling. To make chromatographic signals comparable, it is crucial to remove the scaling effect, caused by differences in overall sample concentrations. One of the efficient methods of signal scaling is Probabilistic Quotient Normalization (PQN) [1]. However, it can be applied only to data for which the majority of features do not vary systematically among the studied classes of signals. When studying the influence of the traditional "fermentation" (oxidation) process on the concentration of 56 individual peaks detected in rooibos plant material, this assumption is not fulfilled. In this case, the only possible solution is the analysis of pairwise log-ratios, which are not influenced by the scaling constant. To estimate significant features, i.e., peaks differentiating the studied classes of samples (green and fermented rooibos plant material), we propose the application of rPLR (robust pair-wise log-ratios) as proposed by Walach et al. [2]. It allows for fast computation and identification of the significant features in terms of original variables (peaks) which is problematic, while working with the unfolded pair-wise log ratios. As demonstrated, it can be applied to designed data sets and in the case of contaminated data, it allows proper conclusions.
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Affiliation(s)
- Jade Tobin
- Plant Bioactives Group, Post-Harvest and Wine Technology Division, Agricultural Research Council (ARC), Infruitec-Nietvoorbij, Private Bag X5026, Stellenbosch, 7599, South Africa; Department of Food Science, Stellenbosch University, Private Bag X1, Matieland, Stellenbosch, South Africa
| | - Jan Walach
- Institute of Statistics and Mathematical Methods in Economics, Vienna University of Technology, Vienna, Austria
| | - Dalene de Beer
- Plant Bioactives Group, Post-Harvest and Wine Technology Division, Agricultural Research Council (ARC), Infruitec-Nietvoorbij, Private Bag X5026, Stellenbosch, 7599, South Africa; Department of Food Science, Stellenbosch University, Private Bag X1, Matieland, Stellenbosch, South Africa
| | - Paul J Williams
- Department of Food Science, Stellenbosch University, Private Bag X1, Matieland, Stellenbosch, South Africa
| | - Peter Filzmoser
- Institute of Statistics and Mathematical Methods in Economics, Vienna University of Technology, Vienna, Austria
| | - Beata Walczak
- University of Silesia, Institute of Chemistry, Szkolna 9, 400-006, Katowice, Poland.
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