1
|
Aspromonte J, Mascrez S, Eggermont D, Purcaro G. Solid-phase microextraction coupled to comprehensive multidimensional gas chromatography for food analysis. Anal Bioanal Chem 2024; 416:2221-2246. [PMID: 37999723 DOI: 10.1007/s00216-023-05048-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2023] [Revised: 10/22/2023] [Accepted: 11/09/2023] [Indexed: 11/25/2023]
Abstract
Solid-phase microextraction and comprehensive multidimensional gas chromatography represent two milestone innovations that occurred in the field of separation science in the 1990s. They have a common root in their introduction and have found a perfect coupling in their evolution and applications. This review will focus on food analysis, where the paradigm has changed significantly over time, moving from a targeted analysis, focusing on a limited number of analytes at the time, to a more holistic approach for assessing quality in a larger sense. Indeed, not only some major markers or contaminants are considered, but a large variety of compounds and their possible interaction, giving rise to the field of foodomics. In order to obtain such detailed information and to answer more sophisticated questions related to food quality and authenticity, the use of SPME-GC × GC-MS has become essential for the comprehensive analysis of volatile and semi-volatile analytes. This article provides a critical review of the various applications of SPME-GC × GC in food analysis, emphasizing the crucial role this coupling plays in this field. Additionally, this review dwells on the importance of appropriate data treatment to fully harness the results obtained to draw accurate and meaningful conclusions.
Collapse
Affiliation(s)
- Juan Aspromonte
- Laboratorio de Investigación y Desarrollo de Métodos Analíticos, LIDMA, Facultad de Ciencias Exactas (Universidad Nacional de La Plata, CIC-PBA, CONICET), Calle 47 Esq. 115, 1900, La Plata, Argentina
| | - Steven Mascrez
- Gembloux Agro-Bio Tech, University of Liège, Passage Des Déportés, 2, B-5030, Gembloux, Belgium
| | - Damien Eggermont
- Gembloux Agro-Bio Tech, University of Liège, Passage Des Déportés, 2, B-5030, Gembloux, Belgium
| | - Giorgia Purcaro
- Gembloux Agro-Bio Tech, University of Liège, Passage Des Déportés, 2, B-5030, Gembloux, Belgium.
| |
Collapse
|
2
|
Qian C, Wen C, Guo X, Yang X, Wen X, Ma T, Wang C. Gregariousness in lepidopteran larvae. INSECT SCIENCE 2024. [PMID: 38214204 DOI: 10.1111/1744-7917.13312] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/26/2023] [Revised: 10/13/2023] [Accepted: 11/08/2023] [Indexed: 01/13/2024]
Abstract
The gregarious lifestyle of lepidopteran larvae is diverse and shaped by a complex interplay of ecological and evolutionary factors. Our review showed that the larval-aggregation behavior has been reported in 23 lepidopteran families, indicating multiple evolution of this behavior. Some larvae live in sibling groups throughout all larval instars and even pupation stages, which may result from the kin-selection. In contrast, group fusion may occur among different sibling or foraging groups of larvae and form larger aggregates, and the gregariousness of these species might be driven by the group-selection. While group size and foraging patterns vary greatly across species, it is generally associated with improved larval survivorship and accelerated development. However, the advantages of group living, such as facilitating feeding activities, adjusting the temperature, and defending natural enemies, may diminish along with development, with strong intraspecific competition occurring at later instars, even when food is abundant. Therefore, the group sizes and fission-fusion dynamics of certain gregarious lepidopteran larvae may be a consequence of their cost-benefit balance depending on various biotic and abiotic factors. Trail and aggregation pheromones, silk trails, or body contact contribute to collective movement and group cohesion of gregarious lepidopteran larvae. However, frequent contact among group members may cause the horizontal transmission of pathogens and pesticides, which may bring an integrated pest management strategy controlling gregarious lepidopteran pests.
Collapse
Affiliation(s)
- Chenyu Qian
- College of Forestry and Landscape Architecture, South China Agricultural University, Guangzhou, China
| | - Chao Wen
- School of Grassland Science, Beijing Forestry University, Beijing, China
| | - Xiaoli Guo
- Beijing Key Laboratory for Forest Pest Control, Beijing Forestry University, Beijing, China
| | - Xinya Yang
- College of Forestry and Landscape Architecture, South China Agricultural University, Guangzhou, China
| | - Xiujun Wen
- College of Forestry and Landscape Architecture, South China Agricultural University, Guangzhou, China
| | - Tao Ma
- College of Forestry and Landscape Architecture, South China Agricultural University, Guangzhou, China
| | - Cai Wang
- College of Forestry and Landscape Architecture, South China Agricultural University, Guangzhou, China
| |
Collapse
|
3
|
Sentellas S, Saurina J. Authentication of Cocoa Products Based on Profiling and Fingerprinting Approaches: Assessment of Geographical, Varietal, Agricultural and Processing Features. Foods 2023; 12:3120. [PMID: 37628119 PMCID: PMC10453789 DOI: 10.3390/foods12163120] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2023] [Revised: 08/15/2023] [Accepted: 08/18/2023] [Indexed: 08/27/2023] Open
Abstract
Cocoa and its derivative products, especially chocolate, are highly appreciated by consumers for their exceptional organoleptic qualities, thus being often considered delicacies. They are also regarded as superfoods due to their nutritional and health properties. Cocoa is susceptible to adulteration to obtain illicit economic benefits, so strategies capable of authenticating its attributes are needed. Features such as cocoa variety, origin, fair trade, and organic production are increasingly important in our society, so they need to be guaranteed. Most of the methods dealing with food authentication rely on profiling and fingerprinting approaches. The compositional profiles of natural components -such as polyphenols, biogenic amines, amino acids, volatile organic compounds, and fatty acids- are the source of information to address these issues. As for fingerprinting, analytical techniques, such as chromatography, infrared, Raman, and mass spectrometry, generate rich fingerprints containing dozens of features to be used for discrimination purposes. In the two cases, the data generated are complex, so chemometric methods are usually applied to extract the underlying information. In this review, we present the state of the art of cocoa and chocolate authentication, highlighting the pros and cons of the different approaches. Besides, the relevance of the proposed methods in quality control and the novel trends for sample analysis are also discussed.
Collapse
Affiliation(s)
- Sonia Sentellas
- Department of Chemical Engineering and Analytical Chemistry, Universitat de Barcelona, Martí i Franquès 1-11, 08028 Barcelona, Spain;
- Research Institute in Food Nutrition and Food Safety, Universitat de Barcelona, Av. Prat de la Riba 171, Edifici Recerca (Gaudí), 08921 Santa Coloma de Gramenet, Spain
- Serra Húnter Fellow Programme, Generalitat de Catalunya, Via Laietana 2, 08003 Barcelona, Spain
| | - Javier Saurina
- Department of Chemical Engineering and Analytical Chemistry, Universitat de Barcelona, Martí i Franquès 1-11, 08028 Barcelona, Spain;
- Research Institute in Food Nutrition and Food Safety, Universitat de Barcelona, Av. Prat de la Riba 171, Edifici Recerca (Gaudí), 08921 Santa Coloma de Gramenet, Spain
| |
Collapse
|
4
|
Quan W, Jin J, Qian C, Li C, Zhou H. Characterization of volatiles in flowers from four Rosa chinensis cultivars by HS-SPME-GC × GC-QTOFMS. FRONTIERS IN PLANT SCIENCE 2023; 14:1060747. [PMID: 37251764 PMCID: PMC10211245 DOI: 10.3389/fpls.2023.1060747] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/03/2022] [Accepted: 04/12/2023] [Indexed: 05/31/2023]
Abstract
Rosa chinensis cultivars with volatile aromas are important resources in the perfume industry. The four rose cultivars introduced to Guizhou province are rich in volatile substances. In this study, volatiles from four Rosa chinensis cultivars were extracted using headspace-solid phase microextraction (HS-SPME), and analyzed with two-dimensional gas chromatography quadrupole time of flight mass spectrometry (GC × GC-QTOFMS). A total of 122 volatiles were identified; the main compounds in these samples were benzyl alcohol, phenylethyl alcohol, citronellol, beta-myrcene and limonene. A total of 68, 78, 71, and 56 volatile compounds were identified in Rosa 'Blue River' (RBR), Rosa 'Crimson Glory' (RCG), Rosa 'Pink Panther' (RPP), and Rosa 'Funkuhr' (RF) samples, respectively. The total volatile contents were in the following order: RBR > RCG > RPP > RF. Four cultivars exhibited similar volatility profiles, with alcohols, alkanes, and esters as the major chemical groups, followed by aldehydes, aromatic hydrocarbons, ketones, benzene, and other compounds. Alcohols and aldehydes were quantitatively the two most abundant chemical groups that included the highest number and highest content of compounds. Different cultivars have different aromas, and RCG had high contents of phenyl acetate, rose oxide, trans-rose oxide, phenylethyl alcohol and 1,3,5-trimethoxybenzene, characterized by floral and rose descriptors. RBR contained a high content of phenylethyl alcohol, and RF contained a high content of 3,5-dimethoxytoluene. Hierarchical cluster analysis (HCA) of all volatiles showed that the three cultivars (RCG, RPP, and RF) had similar volatile characteristics and were significantly different from RBR. Differential metabolites among cultivars were screened based on the OPLS-DA model, and there were six main enriched pathways of differential metabolites: biosynthesis of secondary metabolites, monoterpenoid biosynthesis, metabolic pathways, limonene and pinene degradation, sesquiterpenoid and triterpenoid biosynthesis, and alpha-linolenic acid metabolism. The biosynthesis of secondary metabolites is the most differential metabolic pathway.
Collapse
Affiliation(s)
- Wenxuan Quan
- Guizhou Provincial Key Laboratory for Information Systems of Mountainous Areas and Protection of Ecological Environment, Guizhou Normal University, Guiyang, China
| | - Jing Jin
- Guizhou Provincial Key Laboratory for Information Systems of Mountainous Areas and Protection of Ecological Environment, Guizhou Normal University, Guiyang, China
- Guizhou Botanical Garden, Guizhou Academy of Sciences, Guiyang, China
| | - Chenyu Qian
- Guizhou Provincial Key Laboratory for Information Systems of Mountainous Areas and Protection of Ecological Environment, Guizhou Normal University, Guiyang, China
| | - Chaochan Li
- Guizhou Provincial Key Laboratory for Information Systems of Mountainous Areas and Protection of Ecological Environment, Guizhou Normal University, Guiyang, China
| | - Hongying Zhou
- Guizhou Botanical Garden, Guizhou Academy of Sciences, Guiyang, China
| |
Collapse
|
5
|
Squara S, Caratti A, Fina A, Liberto E, Spigolon N, Genova G, Castello G, Cincera I, Bicchi C, Cordero C. Artificial Intelligence decision-making tools based on comprehensive two-dimensional gas chromatography data: the challenge of quantitative volatilomics in food quality assessment. J Chromatogr A 2023; 1700:464041. [PMID: 37150088 DOI: 10.1016/j.chroma.2023.464041] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2023] [Revised: 04/18/2023] [Accepted: 04/28/2023] [Indexed: 05/09/2023]
Abstract
Effective investigation of food volatilome by comprehensive two-dimensional gas chromatography with parallel detection by mass spectrometry and flame ionization detector (GC×GC-MS/FID) gives access to valuable information related to industrial quality. However, without accurate quantitative data, results transferability over time and across laboratories is prevented. The study applies quantitative volatilomics by multiple headspace solid phase microextraction (MHS-SPME) to a large selection of hazelnut samples (Corylus avellana L. n = 207) representing the top-quality selection of interest for the confectionery industry. By untargeted and targeted fingerprinting, performant classification models validate the role of chemical patterns strongly correlated to quality parameters (i.e., botanical/geographical origin, post-harvest practices, storage time and conditions). By quantification of marker analytes, Artificial Intelligence (AI) tools are derived: the augmented smelling based on sensomics with blueprint related to key-aroma compounds and spoilage odorant; decision-makers for rancidity level and storage quality; origin tracers. By reliable quantification AI can be applied with confidence and could be the driver for industrial strategies.
Collapse
Affiliation(s)
- Simone Squara
- Dipartimento di Scienza e Tecnologia del Farmaco, Università degli Studi di Torino, Via Pietro Giuria 9, Torino 10125, Italy
| | - Andrea Caratti
- Dipartimento di Scienza e Tecnologia del Farmaco, Università degli Studi di Torino, Via Pietro Giuria 9, Torino 10125, Italy
| | - Angelica Fina
- Dipartimento di Scienza e Tecnologia del Farmaco, Università degli Studi di Torino, Via Pietro Giuria 9, Torino 10125, Italy
| | - Erica Liberto
- Dipartimento di Scienza e Tecnologia del Farmaco, Università degli Studi di Torino, Via Pietro Giuria 9, Torino 10125, Italy
| | - Nicola Spigolon
- Soremartec Italia Srl, Piazzale Ferrero 1, Alba, Cuneo 12051, Italy
| | - Giuseppe Genova
- Soremartec Italia Srl, Piazzale Ferrero 1, Alba, Cuneo 12051, Italy
| | | | - Irene Cincera
- Soremartec Italia Srl, Piazzale Ferrero 1, Alba, Cuneo 12051, Italy
| | - Carlo Bicchi
- Dipartimento di Scienza e Tecnologia del Farmaco, Università degli Studi di Torino, Via Pietro Giuria 9, Torino 10125, Italy
| | - Chiara Cordero
- Dipartimento di Scienza e Tecnologia del Farmaco, Università degli Studi di Torino, Via Pietro Giuria 9, Torino 10125, Italy.
| |
Collapse
|
6
|
Squara S, Manig F, Henle T, Hellwig M, Caratti A, Bicchi C, Reichenbach SE, Tao Q, Collino M, Cordero C. Extending the breadth of saliva metabolome fingerprinting by smart template strategies and effective pattern realignment on comprehensive two-dimensional gas chromatographic data. Anal Bioanal Chem 2023; 415:2493-2509. [PMID: 36631574 PMCID: PMC10149478 DOI: 10.1007/s00216-023-04516-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2022] [Revised: 12/16/2022] [Accepted: 01/03/2023] [Indexed: 01/13/2023]
Abstract
Comprehensive two-dimensional gas chromatography with time-of-flight mass spectrometry (GC × GC-TOFMS) is one the most powerful analytical platforms for chemical investigations of complex biological samples. It produces large datasets that are rich in information, but highly complex, and its consistency may be affected by random systemic fluctuations and/or changes in the experimental parameters. This study details the optimization of a data processing strategy that compensates for severe 2D pattern misalignments and detector response fluctuations for saliva samples analyzed across 2 years. The strategy was trained on two batches: one with samples from healthy subjects who had undergone dietary intervention with high/low-Maillard reaction products (dataset A), and the second from healthy/unhealthy obese individuals (dataset B). The combined untargeted and targeted pattern recognition algorithm (i.e., UT fingerprinting) was tuned for key process parameters, the signal-to-noise ratio (S/N), and MS spectrum similarity thresholds, and then tested for the best transform function (global or local, affine or low-degree polynomial) for pattern realignment in the temporal domain. Reliable peak detection achieved its best performance, computed as % of false negative/positive matches, with a S/N threshold of 50 and spectral similarity direct match factor (DMF) of 700. Cross-alignment of bi-dimensional (2D) peaks in the temporal domain was fully effective with a supervised operation including multiple centroids (reference peaks) and a match-and-transform strategy using affine functions. Regarding the performance-derived response fluctuations, the most promising strategy for cross-comparative analysis and data fusion included the mass spectral total useful signal (MSTUS) approach followed by Z-score normalization on the resulting matrix.
Collapse
Affiliation(s)
- Simone Squara
- Dipartimento Di Scienza E Tecnologia del Farmaco, Università Degli Studi Di Torino, Via Pietro Giuria 9, 10125, Turin, Italy
| | - Friederike Manig
- Food Chemistry, Technische Universität Dresden, Dresden, Germany
| | - Thomas Henle
- Food Chemistry, Technische Universität Dresden, Dresden, Germany
| | - Michael Hellwig
- Special Food Chemistry, Technische Universität Dresden, Dresden, Germany
| | - Andrea Caratti
- Dipartimento Di Scienza E Tecnologia del Farmaco, Università Degli Studi Di Torino, Via Pietro Giuria 9, 10125, Turin, Italy
| | - Carlo Bicchi
- Dipartimento Di Scienza E Tecnologia del Farmaco, Università Degli Studi Di Torino, Via Pietro Giuria 9, 10125, Turin, Italy
| | - Stephen E Reichenbach
- Computer Science and Engineering Department, University of Nebraska, Lincoln, NE, USA.,GC Image LLC, Lincoln, NE, USA
| | | | - Massimo Collino
- Dipartimento Di Neuroscienze "Rita Levi Montalcini", University of Turin, Turin, Italy.
| | - Chiara Cordero
- Dipartimento Di Scienza E Tecnologia del Farmaco, Università Degli Studi Di Torino, Via Pietro Giuria 9, 10125, Turin, Italy.
| |
Collapse
|
7
|
Squara S, Ferrero F, Tabacco E, Cordero C, Borreani G. Effect of Inoculation with Lentilactobacillus buchneri and Lacticaseibacillus paracasei on the Maize Silage Volatilome: The Advantages of Advanced 2D-Chromatographic Fingerprinting Approaches. JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY 2022; 70:12232-12248. [PMID: 36103255 PMCID: PMC9523707 DOI: 10.1021/acs.jafc.2c03652] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/24/2022] [Revised: 08/02/2022] [Accepted: 08/02/2022] [Indexed: 06/15/2023]
Abstract
In this study, the complex volatilome of maize silage samples conserved for 229 d, inoculated with Lentilactobacillus buchneri (Lbuc) and Lacticaseibacillus paracasei (Lpar), is explored by means of advanced fingerprinting methodologies based on comprehensive two-dimensional gas chromatography and time-of-flight mass spectrometry. The combined untargeted and targeted (UT) fingerprinting strategy covers 452 features, 269 of which were putatively identified and assigned within their characteristic classes. The high amounts of short-chain free fatty acids and alcohols were produced by fermentation and led to a large number of esters. The impact of Lbuc fermentation was not clearly distinguishable from the control samples; however, Lpar had a strong and distinctive signature that was dominated by propionic acid and 1-propanol characteristic volatiles. The approach provides a better understanding of silage stabilization mechanisms against the degradative action of yeasts and molds during the exposure of silage to air.
Collapse
Affiliation(s)
- Simone Squara
- Dipartimento
di Scienza e Tecnologia del Farmaco, University
of Turin, Turin 10124, Italy
| | - Francesco Ferrero
- Department
of Agriculture, Forest and Food Sciences, University of Turin, Grugliasco 10124, TO, Italy
| | - Ernesto Tabacco
- Department
of Agriculture, Forest and Food Sciences, University of Turin, Grugliasco 10124, TO, Italy
| | - Chiara Cordero
- Dipartimento
di Scienza e Tecnologia del Farmaco, University
of Turin, Turin 10124, Italy
| | - Giorgio Borreani
- Department
of Agriculture, Forest and Food Sciences, University of Turin, Grugliasco 10124, TO, Italy
| |
Collapse
|
8
|
Mao H, Jiang M. Modeling of the first dimensional peak with two modulated sub-peaks in comprehensive two-dimensional gas chromatography. Anal Bioanal Chem 2022; 415:2425-2434. [PMID: 35915249 DOI: 10.1007/s00216-022-04245-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2022] [Revised: 07/04/2022] [Accepted: 07/21/2022] [Indexed: 11/25/2022]
Abstract
According to previous published works, precise modeling of the first dimensional (1D) peak in comprehensive two-dimensional gas chromatography (GC × GC) requires at least 3 modulated sub-peaks (MSP). This requirement is sometimes difficult to meet, e.g., in case of undersampling modulation. In the present work, the feasibility of modeling of the 1D peak with only 2 MSP was demonstrated. The effects of modulation phase (ϕ), modulation period (PM), the peak width (1σ), and the peak shape of the original 1D peak on the accuracy of the proposed method were explored. When employing PM ranging from 6 s ~ 3 s to modulate original peaks with 1σ = 1.2 s ~ 0.6 s, the maximal error of the modeled 1tR is 1.08 s, which is far less than the error generated by employing the largest MSP to estimate the 1tR. The deviation of modeled 1tR increases with the increase of peak shape distortion, and this deviation is ≤ 0.67 s when tailing factor (Tf) in the range of 0.8 to 1.5. The application of the proposed method was demonstrated by assisting identification of a monoterpene in Myrrh sample. The proposed approach could improve the accuracy in calculation of 1tR or 1I and enhance the reliability of compound identification in GC × GC analysis with undersampling modulation.
Collapse
Affiliation(s)
- Hui Mao
- School of Information Engineering, Wuhan Business University, #816 Dongfeng Avenue, Wuhan, Hubei, 430010, People's Republic of China
| | - Ming Jiang
- School of Pharmacy, Tongji Medical College, Huazhong University of Science & Technology, #13 Hangkong Road, Wuhan, Hubei, 430030, People's Republic of China.
| |
Collapse
|
9
|
Cain CN, Trinklein TJ, Ochoa GS, Synovec RE. Tile-Based Pairwise Analysis of GC × GC-TOFMS Data to Facilitate Analyte Discovery and Mass Spectrum Purification. Anal Chem 2022; 94:5658-5666. [PMID: 35347985 DOI: 10.1021/acs.analchem.2c00223] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
A new tile-based pairwise analysis workflow, termed 1v1 analysis, is presented to discover and identify analytes that differentiate two chromatograms collected using comprehensive two-dimensional (2D) gas chromatography coupled with time-of-flight mass spectrometry (GC × GC-TOFMS). Tile-based 1v1 analysis easily discovered all 18 non-native analytes spiked in diesel fuel within the top 30 hits, outperforming standard pairwise chromatographic analyses. However, eight spiked analytes could not be identified with multivariate curve resolution-alternating least-squares (MCR-ALS) nor parallel factor analysis (PARAFAC) due to background contamination. Analyte identification was achieved with class comparison enabled-mass spectrum purification (CCE-MSP), which obtains a pure analyte spectrum by normalizing the spectra to an interferent mass channel (m/z) identified from 1v1 analysis and subtracting the two spectra. This report also details the development of CCE-MSP assisted MCR-ALS, which removes the identified interferent m/z from the data prior to decomposition. In total, 17 out of 18 spiked analytes had a match value (MV) > 800 with both versions of CCE-MSP. For example, MCR-ALS and PARAFAC were unable to decompose the pure spectrum of methyl decanoate (MVs < 200) due to its low 2D chromatographic resolution (∼0.34) and high interferent-to-analyte signal ratio (∼30:1). By leveraging information gained from 1v1 analysis, CCE-MSP and CCE-MSP assisted MCR-ALS obtained a pure spectrum with an average MV of 908 and 964, respectively. Furthermore, tile-based 1v1 analysis was applied to track moisture damage in cacao beans, where 86 analytes with at least a 2-fold concentration change were discovered between the unmolded and molded samples. This 1v1 analysis workflow is beneficial for studies where multiple replicates are either unavailable or undesirable to save analysis time.
Collapse
Affiliation(s)
- Caitlin N Cain
- Department of Chemistry, University of Washington, Box 351700, Seattle, Washington 98195-1700, United States
| | - Timothy J Trinklein
- Department of Chemistry, University of Washington, Box 351700, Seattle, Washington 98195-1700, United States
| | - Grant S Ochoa
- Department of Chemistry, University of Washington, Box 351700, Seattle, Washington 98195-1700, United States
| | - Robert E Synovec
- Department of Chemistry, University of Washington, Box 351700, Seattle, Washington 98195-1700, United States
| |
Collapse
|
10
|
Stilo F, Jiménez-Carvelo AM, Liberto E, Bicchi C, Reichenbach SE, Cuadros-Rodríguez L, Cordero C. Chromatographic Fingerprinting Enables Effective Discrimination and Identitation of High-Quality Italian Extra-Virgin Olive Oils. JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY 2021; 69:8874-8889. [PMID: 34319731 PMCID: PMC8389832 DOI: 10.1021/acs.jafc.1c02981] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/19/2021] [Revised: 07/13/2021] [Accepted: 07/13/2021] [Indexed: 05/21/2023]
Abstract
The challenging process of high-quality food authentication takes advantage of highly informative chromatographic fingerprinting and its identitation potential. In this study, the unique chemical traits of the complex volatile fraction of extra-virgin olive oils from Italian production are captured by comprehensive two-dimensional gas chromatography coupled to time-of-flight mass spectrometry and explored by pattern recognition algorithms. The consistent realignment of untargeted and targeted features of over 73 samples, including oils obtained by different olive cultivars (n = 24), harvest years (n = 3), and processing technologies, provides a solid foundation for sample identification and discrimination based on production region (n = 6). Through a dedicated multivariate statistics workflow, identitation is achieved by two-level partial least-square (PLS) regression, which highlights region diagnostic patterns accounting between 58 and 82 of untargeted and targeted compounds, while sample classification is performed by sequential application of soft independent modeling for class analogy (SIMCA) models, one for each production region. Samples are correctly classified in five of the six single-class models, and quality parameters [i.e., sensitivity, specificity, precision, efficiency, and area under the receiver operating characteristic curve (AUC)] are equal to 1.00.
Collapse
Affiliation(s)
- Federico Stilo
- Dipartimento
di Scienza e Tecnologia del Farmaco, Università
degli Studi di Torino, Via Pietro Giuria 9, Torino I-10125, Italy
| | - Ana M. Jiménez-Carvelo
- Department
of Analytical Chemistry, Faculty of Science, University of Granada, Av. Fuentenueva S/N, Granada E-18071, Spain
- . Phone: +39 011 6707172
| | - Erica Liberto
- Dipartimento
di Scienza e Tecnologia del Farmaco, Università
degli Studi di Torino, Via Pietro Giuria 9, Torino I-10125, Italy
| | - Carlo Bicchi
- Dipartimento
di Scienza e Tecnologia del Farmaco, Università
degli Studi di Torino, Via Pietro Giuria 9, Torino I-10125, Italy
| | - Stephen E. Reichenbach
- University
of Nebraska, Lincoln, Nebraska 68588, United
States
- GC
Image LLC, Lincoln, Nebraska 68508, United
States
| | - Luis Cuadros-Rodríguez
- Department
of Analytical Chemistry, Faculty of Science, University of Granada, Av. Fuentenueva S/N, Granada E-18071, Spain
| | - Chiara Cordero
- Dipartimento
di Scienza e Tecnologia del Farmaco, Università
degli Studi di Torino, Via Pietro Giuria 9, Torino I-10125, Italy
- . Phone: +34 958240797
| |
Collapse
|
11
|
Stilo F, Liberto E, Reichenbach SE, Tao Q, Bicchi C, Cordero C. Exploring the Extra-Virgin Olive Oil Volatilome by Adding Extra Dimensions to Comprehensive Two-Dimensional Gas Chromatography and Time-of-Flight Mass Spectrometry Featuring Tandem Ionization: Validation of Ripening Markers in Headspace Linearity Conditions. J AOAC Int 2021; 104:274-287. [PMID: 34020455 DOI: 10.1093/jaoacint/qsaa095] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2020] [Revised: 06/29/2020] [Accepted: 06/29/2020] [Indexed: 01/01/2023]
Abstract
BACKGROUND Comprehensive two-dimensional gas chromatography (GC×GC) combined with time-of-flight (TOF) MS is the most informative analytical approach for chemical characterization of the complex food volatilome. Key analytical features include separation power and resolution enhancement, improved sensitivity, and structured separation patterns from chemically correlated analytes. OBJECTIVE In this study, we explore the complex extra-virgin olive oil volatilome by combining headspace (HS) solid-phase microextraction (SPME), applied under HS linearity conditions to GC×GC-TOF MS and featuring hard and soft ionization in tandem. METHOD Multiple analytical dimensions are combined in a single run and evaluated in terms of chemical dimensionality, method absolute and relative sensitivity, identification reliability provided by spectral signatures acquired at 70 and 12 eV, and dynamic and linear range of response provided by soft ionization. RESULTS Method effectiveness is validated on a sample set of oils from Picual olives at different ripening stages. Ripening markers [3,4-diethyl-1,5-hexadiene (RS/SR), 3,4-diethyl-1,5-hexadiene (meso), (5Z)-3-ethyl-1,5-octadiene, (5E)-3-ethyl-1,5-octadiene, (E, Z)-3,7-decadiene and (E, E)-3,7-decadiene, (Z)-2-hexenal, (Z)-3-hexenal and (Z)-3-hexenal, (E)-2-pentenal, (Z)-2-pentenal, 1-pentanol, 1-penten-3-ol, 3-pentanone, and 1-penten-3-one] and quality indexes [(Z)-3-hexenal/nonanal, (Z)-3-hexenal/octane, (E)-2-pentenal/nonanal, and (E)-2-pentenal/octane] are confirmed for their validity in HS linearity conditions. CONCLUSIONS For the complex olive oil volatilome, the proposed approach offers concrete advantages for the validation of the informative role of existing analytes while suggesting new potential markers to be studied in larger sample sets. HIGHLIGHTS The accurate fingerprinting of volatiles by HS-SPME operating in HS linearity conditions followed by GC×GC-TOF MS featuring tandem ionization gives the opportunity to improve the quality of analytical data and reliability of results.
Collapse
Affiliation(s)
- Federico Stilo
- Università degli Studi di Torino, Dipartimento di Scienza e Tecnologia del Farmaco, Via Pietro Giuria 9, 10125, Torino, Italy
| | - Erica Liberto
- Università degli Studi di Torino, Dipartimento di Scienza e Tecnologia del Farmaco, Via Pietro Giuria 9, 10125, Torino, Italy
| | - Stephen E Reichenbach
- GC Image LLC, 201 N 8th Street Unit 420, Lincoln, NE 68508, USA.,University of Nebraska-Lincoln, Computer Science and Engineering Department, 256 Avery Hall, Lincoln, NE 68588, USA
| | - Qingping Tao
- GC Image LLC, 201 N 8th Street Unit 420, Lincoln, NE 68508, USA
| | - Carlo Bicchi
- Università degli Studi di Torino, Dipartimento di Scienza e Tecnologia del Farmaco, Via Pietro Giuria 9, 10125, Torino, Italy
| | - Chiara Cordero
- Università degli Studi di Torino, Dipartimento di Scienza e Tecnologia del Farmaco, Via Pietro Giuria 9, 10125, Torino, Italy
| |
Collapse
|
12
|
Gabetti E, Sgorbini B, Stilo F, Bicchi C, Rubiolo P, Chialva F, Reichenbach SE, Bongiovanni V, Cordero C, Cavallero A. Chemical fingerprinting strategies based on comprehensive two-dimensional gas chromatography combined with gas chromatography-olfactometry to capture the unique signature of Piemonte peppermint essential oil (Mentha x piperita var Italo-Mitcham). J Chromatogr A 2021; 1645:462101. [PMID: 33848659 DOI: 10.1016/j.chroma.2021.462101] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/25/2020] [Revised: 03/18/2021] [Accepted: 03/22/2021] [Indexed: 10/21/2022]
Abstract
Accurate, reliable, and informative mapping of untargeted and targeted components across many samples is here performed by combining off-line GC-Olfactometry (GC-O) and comprehensive two-dimensional gas chromatography (GC×GC) coupled to time-of-flight mass spectrometry with variable ionization energy (TOF MS featuring Tandem Ionization™). In particular, untargeted and targeted (UT) features patterns are processed by chromatographic fingerprinting, giving differential priority to potent odorants' retention-times regions. Distinguishing peppermint essential oil (EO) from Piedmont (Italy - Mentha × piperita L. var. Italo-Mitcham - Menta di Pancalieri EO), with its unique sensory fingerprint (i.e., freshness and long-lasting sweetness), from high-quality peppermint EOs produced in other areas poses a great challenge. Chromatographic UT fingerprinting provided a great chemical dimensionality by mapping more than 350 peak-regions at 70 eV and 135 at 12 eV. From them, 95 components were identified and responses compared to available literature. Then, potent odorants, detected by GC-O using the aroma extraction dilution analysis (AEDA), were tracked over the chromatographic space and tentatively identified. With the highest flavor dilution (FD), 1,8-cineole (eucalyptus, fresh, camphoraceous); menthone (minty, herbaceous); and menthofuran (minty, musty, petroleum-like) were highlighted. Responsible for creamy and coumarinic notes were the diasteroisomers of (3,6)-dimethyl-4,5,6,7-tetrahydrobenzo[b]-furan-2(3H)-one (i.e., menthofurolactones), detected in higher relative abundance in Pancalieri EOs. By prioritizing the investigation of volatiles on higher LogFD retention regions, including 131 untargeted/targeted features, Pancalieri EOs were separately clustered from United States samples. Besides pre-targeted analytes, additional untargeted features were post-processed for identification within marker chemicals. Myrtenyl methyl ether, ethyl 3-methyl butanoate, propyl-2-methylbutanoate, and (E)-2-hexenal were putatively identified. Of the "unknown - knowns" with diagnostic roles, all metadata were collected including low energy spectra at 12 eV, which were found to be highly complementary to 70 eV spectra.
Collapse
Affiliation(s)
| | - Barbara Sgorbini
- University of Turin, Dipartimento di Scienza e Tecnologia del Farmaco Turin, Italy
| | - Federico Stilo
- University of Turin, Dipartimento di Scienza e Tecnologia del Farmaco Turin, Italy
| | - Carlo Bicchi
- University of Turin, Dipartimento di Scienza e Tecnologia del Farmaco Turin, Italy
| | - Patrizia Rubiolo
- University of Turin, Dipartimento di Scienza e Tecnologia del Farmaco Turin, Italy
| | | | - Stephen E Reichenbach
- Computer Science and Engineering Department, University of Nebraska - Lincoln, Lincoln, Nebraska, USA; GC Image, LLC, Lincoln, Nebraska, USA
| | | | - Chiara Cordero
- University of Turin, Dipartimento di Scienza e Tecnologia del Farmaco Turin, Italy.
| | | |
Collapse
|
13
|
Stilo F, Bicchi C, Reichenbach SE, Cordero C. Comprehensive two‐dimensional gas chromatography as a boosting technology in food‐omic investigations. J Sep Sci 2021; 44:1592-1611. [DOI: 10.1002/jssc.202100017] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2021] [Revised: 02/11/2021] [Accepted: 02/11/2021] [Indexed: 12/25/2022]
Affiliation(s)
- Federico Stilo
- Dipartimento di Scienza e Tecnologia del Farmaco Università degli Studi di Torino Torino Italy
| | - Carlo Bicchi
- Dipartimento di Scienza e Tecnologia del Farmaco Università degli Studi di Torino Torino Italy
| | - Stephen E. Reichenbach
- Computer Science and Engineering Department University of Nebraska–Lincoln Lincoln Nebraska USA
- GC Image Lincoln Nebraska USA
| | - Chiara Cordero
- Dipartimento di Scienza e Tecnologia del Farmaco Università degli Studi di Torino Torino Italy
| |
Collapse
|
14
|
Meng Y, Liu W, Liu X, Zhang J, Peng M, Zhang T. A review on analytical methods for pharmaceutical and personal care products and their transformation products. J Environ Sci (China) 2021; 101:260-281. [PMID: 33334521 DOI: 10.1016/j.jes.2020.08.025] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2020] [Revised: 08/11/2020] [Accepted: 08/21/2020] [Indexed: 05/18/2023]
Abstract
Pharmaceutical and personal care products (PPCPs) and corresponding transformation products have caused widespread concern due to their persistent emissions and potential toxicity. They have wide octanol-water partition coefficients (Kow) and different ionization constants (pKa) resulting in a poor analysis accuracy and efficiency. A suitable analytical method is the first prerequisite for further research on their environmental behavior to prioritize the substances. This study reviewed a full-scale analytical protocol for environmental samples in the recent ten years: from sampling to instrumental methods. Passive sampling techniques were compared and recommended for long-term continuous and scientific observation. A quick and effective sample extraction and clean-up method are highly required. Chromatographic methods coupled to mass spectrometry for determining PPCPs with a wide range of logKow (-7.53 to 10.80) were summed up. High-resolution mass spectrometry was confirmed to be a promising strategy for screening unknown transformation products, which would provide a nanogram level of detection limits and more accurate mass resolution. Screening strategies and mass change principles were summarized in detail. The recovery rate was important in multiple contaminants analysis identification and factors affecting the recovery rate of PPCPs were also discussed in this review, including sample matrix, target compounds characteristics, extraction method and solid-phase adsorbent. This review provides useful information for the selection of appropriate analytical methods and future development directions.
Collapse
Affiliation(s)
- Yuan Meng
- Department of Environmental Science and Engineering, Beijing Environmental Pollution Control and Resource Engineering Research Center, Beijing University of Chemical Technology, Beijing 100029, China
| | - Weiyi Liu
- Department of Environmental Science and Engineering, Beijing Environmental Pollution Control and Resource Engineering Research Center, Beijing University of Chemical Technology, Beijing 100029, China
| | - Xiaohui Liu
- National Engineering Laboratory for Lake Pollution Control and Ecological Restoration, State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China
| | - Jinlan Zhang
- Department of Environmental Science and Engineering, Beijing Environmental Pollution Control and Resource Engineering Research Center, Beijing University of Chemical Technology, Beijing 100029, China
| | - Meng Peng
- School of Environment, Tsinghua University, Beijing 100084, China
| | - Tingting Zhang
- Department of Environmental Science and Engineering, Beijing Environmental Pollution Control and Resource Engineering Research Center, Beijing University of Chemical Technology, Beijing 100029, China.
| |
Collapse
|
15
|
Stilo F, Bicchi C, Robbat A, Reichenbach SE, Cordero C. Untargeted approaches in food-omics: The potential of comprehensive two-dimensional gas chromatography/mass spectrometry. Trends Analyt Chem 2021. [DOI: 10.1016/j.trac.2020.116162] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/31/2023]
|
16
|
Stilo F, Bicchi C, Jimenez-Carvelo AM, Cuadros-Rodriguez L, Reichenbach SE, Cordero C. Chromatographic fingerprinting by comprehensive two-dimensional chromatography: Fundamentals and tools. Trends Analyt Chem 2021. [DOI: 10.1016/j.trac.2020.116133] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
|
17
|
Practical Considerations in Method Development for Gas Chromatography-Based Metabolomic Profiling. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2021; 1336:139-157. [PMID: 34628631 DOI: 10.1007/978-3-030-77252-9_8] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
This chapter discusses the fundamentals of gas chromatography (GC) to improve method development for metabolic profiling of complex biological samples. The selection of column geometry and phase ratio impacts analyte mass transfer, which must be carefully optimized for fast analysis. Stationary phase selection is critical to obtain baseline resolution of critical pairs, but such selection must consider important aspects of metabolomic protocols, such as derivatization and dependence of analyte identification on existing databases. Sample preparation methods are also addressed depending on the sample matrix, including liquid-liquid extraction and solid-phase microextraction.
Collapse
|
18
|
Franchina FA, Zanella D, Dubois LM, Focant J. The role of sample preparation in multidimensional gas chromatographic separations for non‐targeted analysis with the focus on recent biomedical, food, and plant applications. J Sep Sci 2020; 44:188-210. [DOI: 10.1002/jssc.202000855] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2020] [Revised: 10/22/2020] [Accepted: 10/23/2020] [Indexed: 12/11/2022]
Affiliation(s)
- Flavio A. Franchina
- Molecular System Organic & Biological Analytical Chemistry Group University of Liège Liège Belgium
| | - Delphine Zanella
- Molecular System Organic & Biological Analytical Chemistry Group University of Liège Liège Belgium
| | - Lena M. Dubois
- Molecular System Organic & Biological Analytical Chemistry Group University of Liège Liège Belgium
| | - Jean‐François Focant
- Molecular System Organic & Biological Analytical Chemistry Group University of Liège Liège Belgium
| |
Collapse
|
19
|
Cialiè Rosso M, Stilo F, Squara S, Liberto E, Mai S, Mele C, Marzullo P, Aimaretti G, Reichenbach SE, Collino M, Bicchi C, Cordero C. Exploring extra dimensions to capture saliva metabolite fingerprints from metabolically healthy and unhealthy obese patients by comprehensive two-dimensional gas chromatography featuring Tandem Ionization mass spectrometry. Anal Bioanal Chem 2020; 413:403-418. [PMID: 33140127 PMCID: PMC7806578 DOI: 10.1007/s00216-020-03008-6] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2020] [Revised: 10/01/2020] [Accepted: 10/13/2020] [Indexed: 02/07/2023]
Abstract
This study examines the information potential of comprehensive two-dimensional gas chromatography combined with time-of-flight mass spectrometry (GC×GC-TOF MS) and variable ionization energy (i.e., Tandem Ionization™) to study changes in saliva metabolic signatures from a small group of obese individuals. The study presents a proof of concept for an effective exploitation of the complementary nature of tandem ionization data. Samples are taken from two sub-populations of severely obese (BMI > 40 kg/m2) patients, named metabolically healthy obese (MHO) and metabolically unhealthy obese (MUO). Untargeted fingerprinting, based on pattern recognition by template matching, is applied on single data streams and on fused data, obtained by combining raw signals from the two ionization energies (12 and 70 eV). Results indicate that at lower energy (i.e., 12 eV), the total signal intensity is one order of magnitude lower compared to the reference signal at 70 eV, but the ranges of variations for 2D peak responses is larger, extending the dynamic range. Fused data combine benefits from 70 eV and 12 eV resulting in more comprehensive coverage by sample fingerprints. Multivariate statistics, principal component analysis (PCA), and partial least squares discriminant analysis (PLS-DA) show quite good patient clustering, with total explained variance by the first two principal components (PCs) that increases from 54% at 70 eV to 59% at 12 eV and up to 71% for fused data. With PLS-DA, discriminant components are highlighted and putatively identified by comparing retention data and 70 eV spectral signatures. Within the most informative analytes, lactose is present in higher relative amount in saliva from MHO patients, whereas N-acetyl-D-glucosamine, urea, glucuronic acid γ-lactone, 2-deoxyribose, N-acetylneuraminic acid methyl ester, and 5-aminovaleric acid are more abundant in MUO patients. Visual feature fingerprinting is combined with pattern recognition algorithms to highlight metabolite variations between composite per-class images obtained by combining raw data from individuals belonging to different classes, i.e., MUO vs. MHO. Graphical abstract![]()
Collapse
Affiliation(s)
- Marta Cialiè Rosso
- Dipartimento di Scienza e Tecnologia del Farmaco, Università degli Studi di Torino, Via Pietro Giuria 9, 10125, Torino, Italy
| | - Federico Stilo
- Dipartimento di Scienza e Tecnologia del Farmaco, Università degli Studi di Torino, Via Pietro Giuria 9, 10125, Torino, Italy
| | - Simone Squara
- Dipartimento di Scienza e Tecnologia del Farmaco, Università degli Studi di Torino, Via Pietro Giuria 9, 10125, Torino, Italy
| | - Erica Liberto
- Dipartimento di Scienza e Tecnologia del Farmaco, Università degli Studi di Torino, Via Pietro Giuria 9, 10125, Torino, Italy
| | - Stefania Mai
- Division of General Medicine, IRCCS Istituto Auxologico Italiano Ospedale S. Giuseppe, 28824, Piancavallo, Italy
| | - Chiara Mele
- Division of General Medicine, IRCCS Istituto Auxologico Italiano Ospedale S. Giuseppe, 28824, Piancavallo, Italy.,Department of Translational Medicine, University of Piemonte Orientale, 28100, Novara, Italy
| | - Paolo Marzullo
- Division of General Medicine, IRCCS Istituto Auxologico Italiano Ospedale S. Giuseppe, 28824, Piancavallo, Italy. .,Department of Translational Medicine, University of Piemonte Orientale, 28100, Novara, Italy.
| | - Gianluca Aimaretti
- Department of Translational Medicine, University of Piemonte Orientale, 28100, Novara, Italy
| | - Stephen E Reichenbach
- Computer Science and Engineering Department, University of Nebraska, Lincoln, NE, 68588, USA.,GC Image, LLC, Lincoln, NE, 68508, USA
| | - Massimo Collino
- Dipartimento di Scienza e Tecnologia del Farmaco, Università degli Studi di Torino, Via Pietro Giuria 9, 10125, Torino, Italy
| | - Carlo Bicchi
- Dipartimento di Scienza e Tecnologia del Farmaco, Università degli Studi di Torino, Via Pietro Giuria 9, 10125, Torino, Italy
| | - Chiara Cordero
- Dipartimento di Scienza e Tecnologia del Farmaco, Università degli Studi di Torino, Via Pietro Giuria 9, 10125, Torino, Italy.
| |
Collapse
|
20
|
Climate and Processing Effects on Tea ( Camellia sinensis L. Kuntze) Metabolome: Accurate Profiling and Fingerprinting by Comprehensive Two-Dimensional Gas Chromatography/Time-of-Flight Mass Spectrometry. Molecules 2020; 25:molecules25102447. [PMID: 32456315 PMCID: PMC7288030 DOI: 10.3390/molecules25102447] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2020] [Revised: 05/19/2020] [Accepted: 05/22/2020] [Indexed: 11/18/2022] Open
Abstract
This study applied an untargeted–targeted (UT) fingerprinting approach, based on comprehensive two-dimensional gas chromatography-time-of-flight mass spectrometry (GC×GC-TOF MS), to assess the effects of rainfall and temperature (both seasonal and elevational) on the tea metabolome. By this strategy, the same compound found in multiple samples need only to be identified once, since chromatograms and mass spectral features are aligned in the data analysis process. Primary and specialized metabolites of leaves from two Chinese provinces, Yunnan (pu′erh) and Fujian (oolong), and a farm in South Carolina (USA, black tea) were studied. UT fingerprinting provided insight into plant metabolism activation/inhibition, taste and trigeminal sensations, and antioxidant properties, not easily attained by other analytical approaches. For example, pu′erh and oolong contained higher relative amounts of amino acids, organic acids, and sugars. Conversely, black tea contained less of all targeted compounds except fructose and glucose, which were more similar to oolong tea. Findings revealed compounds statistically different between spring (pre-monsoon) and summer (monsoon) in pu′erh and oolong teas as well as compounds that exhibited the greatest variability due to seasonal and elevational differences. The UT fingerprinting approach offered unique insights into how differences in growing conditions and commercial processing affect the nutritional benefits and sensory characteristics of tea beverages.
Collapse
|
21
|
Amaral MSS, Nolvachai Y, Marriott PJ. Comprehensive Two-Dimensional Gas Chromatography Advances in Technology and Applications: Biennial Update. Anal Chem 2019; 92:85-104. [DOI: 10.1021/acs.analchem.9b05412] [Citation(s) in RCA: 52] [Impact Index Per Article: 10.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Affiliation(s)
- Michelle S. S. Amaral
- Australian Centre for Research on Separation Science, School of Chemistry, Monash University, Wellington Road, Clayton, Victoria 3800, Australia
| | - Yada Nolvachai
- Australian Centre for Research on Separation Science, School of Chemistry, Monash University, Wellington Road, Clayton, Victoria 3800, Australia
| | - Philip J. Marriott
- Australian Centre for Research on Separation Science, School of Chemistry, Monash University, Wellington Road, Clayton, Victoria 3800, Australia
| |
Collapse
|
22
|
Rosso MC, Mazzucotelli M, Bicchi C, Charron M, Manini F, Menta R, Fontana M, Reichenbach SE, Cordero C. Adding extra-dimensions to hazelnuts primary metabolome fingerprinting by comprehensive two-dimensional gas chromatography combined with time-of-flight mass spectrometry featuring tandem ionization: Insights on the aroma potential. J Chromatogr A 2019; 1614:460739. [PMID: 31796248 DOI: 10.1016/j.chroma.2019.460739] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2019] [Revised: 11/22/2019] [Accepted: 11/25/2019] [Indexed: 12/20/2022]
Abstract
The information potential of comprehensive two-dimensional gas chromatography combined with time of flight mass spectrometry (GC × GC-TOFMS) featuring tandem hard (70 eV) and soft (12 eV) electron ionization is here applied to accurately delineate high-quality hazelnuts (Corylus avellana L.) primary metabolome fingerprints. The information provided by tandem signals for untargeted and targeted 2D-peaks is examined and exploited with pattern recognition based on template matching algorithms. EI-MS fragmentation pattern similarity, base-peak m/z values at the two examined energies (i.e., 12 and 70 eV) and response relative sensitivity are adopted to evaluate the complementary nature of signals. As challenging bench test, the hazelnut primary metabolome has a large chemical dimensionality that includes various chemical classes such as mono- and disaccharides, amino acids, low-molecular weight acids, and amines, further complicated by oximation/silylation to obtain volatile derivatives. Tandem ionization provides notable benefits including larger relative ratio of structural informing ions due to limited fragmentation at low energies (12 eV), meaningful spectral dissimilarity between 12 and 70 eV (direct match factor values range 222-783) and, for several analytes, enhanced relative sensitivity at lower energies. The complementary information provided by tandem ionization is exploited by untargeted/targeted (UT) fingerprinting on samples from different cultivars and geographical origins. The responses of 138 UT-peak-regions are explored to delineate informative patterns by univariate and multivariate statistics, providing insights on correlations between known precursors and (key)-aroma compounds and potent odorants. Strong positive correlations between non-volatile precursors and odorants are highlighted with some interesting linear trends for: 3-methylbutanal with isoleucine (R2 0.9284); 2,3-butanedione/2,3-pentanedione with monosaccharides (fructose/glucose derivatives) (R2 0.8543 and 0.8860); 2,5-dimethylpyrazine with alanine (R2 0.8822); and pyrroles (1H-pyrrole, 3-methyl-1H-pyrrole, and 1H-pyrrole-2-carboxaldehyde) with ornithine and alanine derivatives (R2 0.8604). The analytical work-flow provides a solid foundation for a new strategy for hazelnuts quality assessment because aroma potential could be derived from precursors' chemical fingerprints.
Collapse
Affiliation(s)
- Marta Cialiè Rosso
- Dipartimento di Scienza e Tecnologia del Farmaco, Università degli Studi di Torino, Via Pietro Giuria 9, I-10125 Torino 6707172, Italy
| | - Maria Mazzucotelli
- Dipartimento di Scienza e Tecnologia del Farmaco, Università degli Studi di Torino, Via Pietro Giuria 9, I-10125 Torino 6707172, Italy
| | - Carlo Bicchi
- Dipartimento di Scienza e Tecnologia del Farmaco, Università degli Studi di Torino, Via Pietro Giuria 9, I-10125 Torino 6707172, Italy
| | | | | | - Roberto Menta
- Soremartec Italia Srl, Ferrero Group, Alba (CN), Italy
| | - Mauro Fontana
- Soremartec Italia Srl, Ferrero Group, Alba (CN), Italy
| | - Stephen E Reichenbach
- Computer Science and Engineering Department, University of Nebraska - Lincoln, NE, USA; GC Image LCC, Lincoln, NE, USA
| | - Chiara Cordero
- Dipartimento di Scienza e Tecnologia del Farmaco, Università degli Studi di Torino, Via Pietro Giuria 9, I-10125 Torino 6707172, Italy.
| |
Collapse
|
23
|
Stilo F, Liberto E, Reichenbach SE, Tao Q, Bicchi C, Cordero C. Untargeted and Targeted Fingerprinting of Extra Virgin Olive Oil Volatiles by Comprehensive Two-Dimensional Gas Chromatography with Mass Spectrometry: Challenges in Long-Term Studies. JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY 2019; 67:5289-5302. [PMID: 30994349 DOI: 10.1021/acs.jafc.9b01661] [Citation(s) in RCA: 30] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/09/2023]
Abstract
Comprehensive two-dimensional gas chromatography coupled with mass spectrometric detection (GC × GC-MS) offers an information-rich basis for effective chemical fingerprinting of food. However, GC × GC-MS yields 2D-peak patterns (i.e., sample 2D fingerprints) whose consistency may be affected by variables related to either the analytical platform or to the experimental parameters adopted for the analysis. This study focuses on the complex volatile fraction of extra-virgin olive oil and addresses 2D-peak patterns variations, including MS signal fluctuations, as they may occur in long-term studies where pedo-climatic, harvest year, or shelf life changes are studied. The 2D-pattern misalignments are forced by changing chromatographic settings and MS acquisition. All procedural steps, preceding pattern recognition by template matching, are analyzed and a rational workflow defined to accurately realign patterns and analytes metadata. Signal-to-noise ratio (SNR) detection threshold, reference spectra extraction, and similarity match factor threshold are critical to avoid false-negative matches. Distance thresholds and polynomial transform parameters are key for effective template matching. In targeted analysis (supervised workflow) with optimized parameters, method accuracy reaches 92.5% (i.e., % of true-positive matches) while for combined untargeted and targeted ( UT) fingerprinting (unsupervised workflow), accuracy reaches 97.9%. Response normalization also is examined, evidencing good performance of multiple internal standard normalization that effectively compensates for discriminations occurring during injection of highly volatile compounds. The resulting workflow is simple, effective, and time efficient.
Collapse
Affiliation(s)
- Federico Stilo
- Dipartimento di Scienza e Tecnologia del Farmaco , Università degli Studi di Torino , Turin I-10125 , Italy
| | - Erica Liberto
- Dipartimento di Scienza e Tecnologia del Farmaco , Università degli Studi di Torino , Turin I-10125 , Italy
| | - Stephen E Reichenbach
- Computer Science and Engineering Department , University of Nebraska , Lincoln , Nebraska 68588 , United States
- GC Image, LLC , Lincoln , Nebraska 68508 , United States
| | - Qingping Tao
- GC Image, LLC , Lincoln , Nebraska 68508 , United States
| | - Carlo Bicchi
- Dipartimento di Scienza e Tecnologia del Farmaco , Università degli Studi di Torino , Turin I-10125 , Italy
| | - Chiara Cordero
- Dipartimento di Scienza e Tecnologia del Farmaco , Università degli Studi di Torino , Turin I-10125 , Italy
| |
Collapse
|