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Santanatoglia A, Angeloni S, Caprioli G, Fioretti L, Ricciutelli M, Vittori S, Alessandroni L. Comprehensive investigation of coffee acidity on eight different brewing methods through chemical analyses, sensory evaluation and statistical elaboration. Food Chem 2024; 454:139717. [PMID: 38810441 DOI: 10.1016/j.foodchem.2024.139717] [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: 01/04/2024] [Revised: 05/15/2024] [Accepted: 05/16/2024] [Indexed: 05/31/2024]
Abstract
Even if the acids composition and their role in coffee still need to be clarified, acidity is one of the main sought-after features in coffee and it is becoming one of the main quality markers. Hence, the aim of this paper was to evaluate the main parameters influencing coffee acidity with a focus on carboxylic acids. To the best of our knowledge, this is the first study regarding filter coffee prepared from specialty and mainstream coffee, differently roasted and through eight diverse extraction methods. Coffee cup chemical composition in terms of organic and chlorogenic acids, caffein and physicochemical parameters were correlated with perceived sourness and mouthfeel to better understand the influence of extracted compounds on the final beverage acidity. Statistical tools revealed that a major impact of chlorogenic acids emerged in pH and titratable acidity, while the sensorial sourness appeared more correlated with organic acids concentration. Thus, these findings suggests that organic acids could be potential predictors of beverage perceived acidity.
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Affiliation(s)
- Agnese Santanatoglia
- School of Pharmacy, Chemistry Interdisciplinary Project (ChIP), University of Camerino, Via Madonna delle Carceri 9/B, 62032 Camerino, Italy; Research and Innovation Coffee Hub, Via Emilio Betti 1, 62020 Belforte del Chienti, Italy
| | - Simone Angeloni
- School of Pharmacy, Chemistry Interdisciplinary Project (ChIP), University of Camerino, Via Madonna delle Carceri 9/B, 62032 Camerino, Italy
| | - Giovanni Caprioli
- School of Pharmacy, Chemistry Interdisciplinary Project (ChIP), University of Camerino, Via Madonna delle Carceri 9/B, 62032 Camerino, Italy
| | - Lauro Fioretti
- Research and Innovation Coffee Hub, Via Emilio Betti 1, 62020 Belforte del Chienti, Italy
| | - Massimo Ricciutelli
- School of Pharmacy, Chemistry Interdisciplinary Project (ChIP), University of Camerino, Via Madonna delle Carceri 9/B, 62032 Camerino, Italy
| | - Sauro Vittori
- School of Pharmacy, Chemistry Interdisciplinary Project (ChIP), University of Camerino, Via Madonna delle Carceri 9/B, 62032 Camerino, Italy; Research and Innovation Coffee Hub, Via Emilio Betti 1, 62020 Belforte del Chienti, Italy
| | - Laura Alessandroni
- School of Pharmacy, Chemistry Interdisciplinary Project (ChIP), University of Camerino, Via Madonna delle Carceri 9/B, 62032 Camerino, Italy.
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2
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Paiva AC, Teixeira CA, Hantao LW. Exploring accurate mass measurements in pixel-based chemometrics: Advancing coffee classification with GC-HRMS-A proof of concept study. J Chromatogr A 2024; 1731:465171. [PMID: 39059306 DOI: 10.1016/j.chroma.2024.465171] [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: 04/01/2024] [Revised: 07/04/2024] [Accepted: 07/15/2024] [Indexed: 07/28/2024]
Abstract
This paper presents a study that assesses the application of chemometrics for classifying coffee samples in a quality control context. High-resolution and accurate mass measurements were utilized as input for pixel-based orthogonal partial least squares discriminant analysis (OPLS-DA) models. The compositional data were acquired through a fully automated workflow combining headspace solid-phase microextraction and gas chromatography-high-resolution mass spectrometry (GC-HRMS) using an FT-Orbitrap® mass analyzer. A workflow centered on accurate mass measurements was successfully utilized for group-type analysis, offering an alternative to methods relying solely on MS similarity searches. The predictive models underwent thorough evaluation, demonstrating robust multivariate classification performance. Five key coffee attributes, bitterness, acidity, body, intensity, and roasting level were successfully predicted using GC-HRMS data. The results revealed strong predictive accuracy across all models, ranging from 88.9 % (bitterness) to 94.4 % (roasting level). This study represents a significant advancement in automating methods for coffee quality control, notably increasing the predictive ability of the models compared to existing literature.
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Affiliation(s)
- Andre Cunha Paiva
- Institute of Chemistry, University of Campinas, 270 Monteiro Lobato, Campinas, SP 13083-862, Brazil; National Institute of Science and Technology in Bioanalytics (INCTBio), SP, Campinas, 13083-862 Brazil
| | - Carlos Alberto Teixeira
- Institute of Chemistry, University of Campinas, 270 Monteiro Lobato, Campinas, SP 13083-862, Brazil; National Institute of Science and Technology in Bioanalytics (INCTBio), SP, Campinas, 13083-862 Brazil
| | - Leandro Wang Hantao
- Institute of Chemistry, University of Campinas, 270 Monteiro Lobato, Campinas, SP 13083-862, Brazil; National Institute of Science and Technology in Bioanalytics (INCTBio), SP, Campinas, 13083-862 Brazil.
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3
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Ren T, Lin Y, Su Y, Ye S, Zheng C. Machine Learning-Assisted Portable Microplasma Optical Emission Spectrometer for Food Safety Monitoring. Anal Chem 2024; 96:5170-5177. [PMID: 38512240 DOI: 10.1021/acs.analchem.3c05332] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/22/2024]
Abstract
To meet the needs of food safety for simple, rapid, and low-cost analytical methods, a portable device based on a point discharge microplasma optical emission spectrometer (μPD-OES) was combined with machine learning to enable on-site food freshness evaluation and detection of adulteration. The device was integrated with two modular injection units (i.e., headspace solid-phase microextraction and headspace purge) for the examination of various samples. Aromas from meat and coffee were first introduced to the portable device. The aroma molecules were excited to specific atomic and molecular fragments at excited states by room temperature and atmospheric pressure microplasma due to their different atoms and molecular structures. Subsequently, different aromatic molecules obtained their own specific molecular and atomic emission spectra. With the help of machine learning, the portable device was successfully applied to the assessment of meat freshness with accuracies of 96.0, 98.7, and 94.7% for beef, pork, and chicken meat, respectively, through optical emission patterns of the aroma at different storage times. Furthermore, the developed procedures can identify beef samples containing different amounts of duck meat with an accuracy of 99.5% and classify two coffee species without errors, demonstrating the great potential of their application in the discrimination of food adulteration. The combination of machine learning and μPD-OES provides a simple, portable, and cost-effective strategy for food aroma analysis, potentially addressing field monitoring of food safety.
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Affiliation(s)
- Tian Ren
- Key Laboratory of Green Chemistry & Technology of Ministry of Education, College of Chemistry, Sichuan University, Chengdu 610064, China
| | - Yao Lin
- West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu 610041, China
| | - Yubin Su
- Key Laboratory of Green Chemistry & Technology of Ministry of Education, College of Chemistry, Sichuan University, Chengdu 610064, China
| | - Simin Ye
- Key Laboratory of Green Chemistry & Technology of Ministry of Education, College of Chemistry, Sichuan University, Chengdu 610064, China
| | - Chengbin Zheng
- Key Laboratory of Green Chemistry & Technology of Ministry of Education, College of Chemistry, Sichuan University, Chengdu 610064, China
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4
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Giulia S, Eloisa B, Giulia R, Gloria P, Carlo B, Erica L. Evaluation of the behaviour of phenols and alkaloids in samples of roasted and ground coffee stored in different types of packaging: Implications for quality and shelf life. Food Res Int 2023; 174:113548. [PMID: 37986514 DOI: 10.1016/j.foodres.2023.113548] [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: 07/26/2023] [Revised: 09/26/2023] [Accepted: 10/01/2023] [Indexed: 11/22/2023]
Abstract
The most important factor in determining coffee quality and consumer choice is the flavour. During roasting, hundreds of simultaneous chemical reactions take place that contribute to the formation of the basic flavour of the coffee drink, imparting bitterness, astringency and acidity. The main chemical compounds responsible for these qualitative sensory properties are chlorogenic acids (CQAs), hydroxycinnamic acids and alkaloids. However, during storage, roasted and ground coffee can undergo several chemical and physical reactions that alter its flavour. This study focuses on LC-DAD analysis to investigate the effects of storing commercial coffee blends in different packaging, namely standard (multilayer film with aluminium barrier) and Eco-capsules. The results show relative stability of the phenolic and alkaloid fractions, although the CQA isomers behave differently and a decrease in caffeine and caffeic acid is observed during prolonged storage under 75% relative humidity compared to 65%, especially in Eco-friendly packaging.
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Affiliation(s)
- Strocchi Giulia
- Dipartimento di Scienza e Tecnologia del Farmaco, Università degli Studi di Torino, Via Pietro Giuria 9, Turin, Italy
| | - Bagnulo Eloisa
- Dipartimento di Scienza e Tecnologia del Farmaco, Università degli Studi di Torino, Via Pietro Giuria 9, Turin, Italy
| | | | | | - Bicchi Carlo
- Dipartimento di Scienza e Tecnologia del Farmaco, Università degli Studi di Torino, Via Pietro Giuria 9, Turin, Italy
| | - Liberto Erica
- Dipartimento di Scienza e Tecnologia del Farmaco, Università degli Studi di Torino, Via Pietro Giuria 9, Turin, Italy.
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5
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Bagnulo E, Scavarda C, Bortolini C, Cordero C, Bicchi C, Liberto E. Cocoa quality: Chemical relationship of cocoa beans and liquors in origin identitation. Food Res Int 2023; 172:113199. [PMID: 37689847 DOI: 10.1016/j.foodres.2023.113199] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2023] [Revised: 06/23/2023] [Accepted: 06/27/2023] [Indexed: 09/11/2023]
Abstract
In this study, HS-SPME-GC-MS was applied in combination with machine learning tools to the identitation of a set of cocoa samples of different origins. Untargeted fingerprinting and profiling approaches were tested for their informative, discriminative and classification ability provided by the volatilome of the raw beans and liquors inbound at the factory in search of robust tools exploitable for long-time studies. The ability to distinguish the country of origin on both beans and liquors is not so obvious due to processing steps accompanying the transformation of the beans, but this capacity is of particular interest to the chocolate industry as both beans and liquors can enter indifferently into the processing of chocolate. Both fingerprinting (untargeted) and profiling (targeted) strategies enable to decipher of the information contained in the complex dataset and the cross-validation of the results, affording to discriminate between the origins with effective classification models.
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Affiliation(s)
- Eloisa Bagnulo
- Dipartimento di Scienza e Tecnologia del Farmaco, Università degli Studi di Torino, Turin, Italy
| | - Camilla Scavarda
- Dipartimento di Scienza e Tecnologia del Farmaco, Università degli Studi di Torino, Turin, Italy
| | - Cristian Bortolini
- Soremartec Italia S.r.l. (Ferrero Group), P.le P. Ferrero 1, 12051 Alba, CN, Italy
| | - Chiara Cordero
- Dipartimento di Scienza e Tecnologia del Farmaco, Università degli Studi di Torino, Turin, Italy
| | - Carlo Bicchi
- Dipartimento di Scienza e Tecnologia del Farmaco, Università degli Studi di Torino, Turin, Italy
| | - Erica Liberto
- Dipartimento di Scienza e Tecnologia del Farmaco, Università degli Studi di Torino, Turin, Italy.
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6
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Nerurkar PV, Yokoyama J, Ichimura K, Kutscher S, Wong J, Bittenbender HC, Deng Y. Medium Roasting and Brewing Methods Differentially Modulate Global Metabolites, Lipids, Biogenic Amines, Minerals, and Antioxidant Capacity of Hawai'i-Grown Coffee ( Coffea arabica). Metabolites 2023; 13:412. [PMID: 36984852 PMCID: PMC10051321 DOI: 10.3390/metabo13030412] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2023] [Revised: 03/01/2023] [Accepted: 03/06/2023] [Indexed: 03/12/2023] Open
Abstract
In the United States, besides the US territory Puerto Rico, Hawai'i is the only state that grows commercial coffee. In Hawai'i, coffee is the second most valuable agricultural commodity. Health benefits associated with moderate coffee consumption, including its antioxidant capacity, have been correlated to its bioactive components. Post-harvest techniques, coffee variety, degree of roasting, and brewing methods significantly impact the metabolites, lipids, minerals, and/or antioxidant capacity of brewed coffees. The goal of our study was to understand the impact of roasting and brewing methods on metabolites, lipids, biogenic amines, minerals, and antioxidant capacity of two Hawai'i-grown coffee (Coffea arabica) varieties, "Kona Typica" and "Yellow Catuai". Our results indicated that both roasting and coffee variety significantly modulated several metabolites, lipids, and biogenic amines of the coffee brews. Furthermore, regardless of coffee variety, the antioxidant capacity of roasted coffee brews was higher in cold brews. Similarly, total minerals were higher in "Kona Typica" cold brews followed by "Yellow Catuai" cold brews. Hawai'i-grown coffees are considered "specialty coffees" since they are grown in unique volcanic soils and tropical microclimates with unique flavors. Our studies indicate that both Hawai'i-grown coffees contain several health-promoting components. However, future studies are warranted to compare Hawai'i-grown coffees with other popular brand coffees and their health benefits in vivo.
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Affiliation(s)
- Pratibha V. Nerurkar
- Laboratory of Metabolic Disorders and Alternative Medicine, Department of Molecular Biosciences and Bioengineering (MBBE), College of Tropical Agriculture and Human Resources (CTAHR), University of Hawai‘i at Manoa (UHM), Honolulu, HI 96822, USA
| | - Jennifer Yokoyama
- Laboratory of Metabolic Disorders and Alternative Medicine, Department of Molecular Biosciences and Bioengineering (MBBE), College of Tropical Agriculture and Human Resources (CTAHR), University of Hawai‘i at Manoa (UHM), Honolulu, HI 96822, USA
| | - Kramer Ichimura
- Laboratory of Metabolic Disorders and Alternative Medicine, Department of Molecular Biosciences and Bioengineering (MBBE), College of Tropical Agriculture and Human Resources (CTAHR), University of Hawai‘i at Manoa (UHM), Honolulu, HI 96822, USA
| | - Shannon Kutscher
- Laboratory of Metabolic Disorders and Alternative Medicine, Department of Molecular Biosciences and Bioengineering (MBBE), College of Tropical Agriculture and Human Resources (CTAHR), University of Hawai‘i at Manoa (UHM), Honolulu, HI 96822, USA
| | - Jamie Wong
- Laboratory of Metabolic Disorders and Alternative Medicine, Department of Molecular Biosciences and Bioengineering (MBBE), College of Tropical Agriculture and Human Resources (CTAHR), University of Hawai‘i at Manoa (UHM), Honolulu, HI 96822, USA
| | - Harry C. Bittenbender
- Department of Tropical Plant and Soil Sciences (TPSS), CTAHR, UHM, Honolulu, HI 96822, USA
| | - Youping Deng
- Bioinformatics Core, Departmentt of Quantitative Health Sciences, University of Hawai‘i Cancer Center (UHCC), John A. Burns School of Medicine (JABSOM), UHM, Honolulu, HI 96813, USA
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7
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Strocchi G, Bagnulo E, Ruosi MR, Ravaioli G, Trapani F, Bicchi C, Pellegrino G, Liberto E. Potential Aroma Chemical Fingerprint of Oxidised Coffee Note by HS-SPME-GC-MS and Machine Learning. Foods 2022; 11:foods11244083. [PMID: 36553825 PMCID: PMC9778272 DOI: 10.3390/foods11244083] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2022] [Revised: 12/13/2022] [Accepted: 12/14/2022] [Indexed: 12/23/2022] Open
Abstract
This study examines the volatilome of good and oxidised coffee samples from two commercial coffee species (i.e., Coffea arabica (arabica) and Coffea canephora (robusta)) in different packagings (i.e., standard with aluminium barrier and Eco-caps) to define a fingerprint potentially describing their oxidised note, independently of origin and packaging. The study was carried out using HS-SPME-GC-MS/FPD in conjunction with a machine learning data processing. PCA and PLS-DA were used to extrapolate 25 volatiles (out of 147) indicative of oxidised coffees, and their behaviour was compared with literature data and critically discussed. An increase in four volatiles was observed in all oxidised samples tested, albeit to varying degrees depending on the blend and packaging: acetic and propionic acids (pungent, acidic, rancid), 1-H-pyrrole-2-carboxaldehyde (musty), and 5-(hydroxymethyl)-dihydro-2(3H)-furanone.
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Affiliation(s)
- Giulia Strocchi
- Dipartimento di Scienza e Tecnologia del Farmaco, Università degli Studi di Torino, 10125 Turin, Italy
| | - Eloisa Bagnulo
- Dipartimento di Scienza e Tecnologia del Farmaco, Università degli Studi di Torino, 10125 Turin, Italy
| | | | | | | | - Carlo Bicchi
- Dipartimento di Scienza e Tecnologia del Farmaco, Università degli Studi di Torino, 10125 Turin, Italy
| | | | - Erica Liberto
- Dipartimento di Scienza e Tecnologia del Farmaco, Università degli Studi di Torino, 10125 Turin, Italy
- Correspondence: ; Tel.: +39-01-1670-7134
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8
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Yu H, Li Q, Xie J, Chen C, Lou X, Ai L, Tian H. Characterization of Bitter Compounds in Shaoxing Huangjiu by Quantitative Measurements, Taste Recombination, and Omission Experiments. JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY 2022; 70:12907-12915. [PMID: 36183262 DOI: 10.1021/acs.jafc.2c02867] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
Excessive and uncoordinated bitterness of Shaoxing Huangjiu, a traditional Chinese rice wine, reduces its acceptance by consumers. To determine the compounds responsible for this bitterness, gas chromatography-mass spectrometry and high-performance liquid chromatography were performed on four types of Shaoxing Huangjiu (Yuanhong, Huadiao, Shanniang, and Xiangxue wine) for targeted quantitation of candidate compounds known to contribute to bitterness. Calculations of dose-over-threshold factors revealed that isoamyl alcohol, 1-hexanol, phenylethanol, ethyl butyrate, ethyl lactate, furfural, histidine, and arginine were important bitter compounds. Taste recombination experiments demonstrated that a recombination model constructed using the screened known bitter compounds showed good similarity with the original sample in bitter taste. Furthermore, omission experiments revealed that isobutanol, isoamyl alcohol, 1-hexanol, phenylethanol, ethyl acetate, ethyl butyrate, ethyl lactate, furfural, arginine, and valine were the compounds affecting the bitter taste perception. This study provides a certain guiding effect on the bitterness control and taste improvement of Shaoxing Huangjiu.
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Affiliation(s)
- Haiyan Yu
- Department of Food Science and Technology, Shanghai Institute of Technology, Shanghai 201418, China
| | - Qiaowei Li
- Department of Food Science and Technology, Shanghai Institute of Technology, Shanghai 201418, China
| | - Jingru Xie
- Department of Food Science and Technology, Shanghai Institute of Technology, Shanghai 201418, China
| | - Chen Chen
- Department of Food Science and Technology, Shanghai Institute of Technology, Shanghai 201418, China
| | - Xinman Lou
- Department of Food Science and Technology, Shanghai Institute of Technology, Shanghai 201418, China
| | - Lianzhong Ai
- School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China
| | - Huaixiang Tian
- Department of Food Science and Technology, Shanghai Institute of Technology, Shanghai 201418, China
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9
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Pua A, Goh RMV, Huang Y, Tang VCY, Ee KH, Cornuz M, Liu SQ, Lassabliere B, Yu B. Recent advances in analytical strategies for coffee volatile studies: Opportunities and challenges. Food Chem 2022; 388:132971. [PMID: 35462220 DOI: 10.1016/j.foodchem.2022.132971] [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: 01/27/2022] [Revised: 04/08/2022] [Accepted: 04/10/2022] [Indexed: 11/29/2022]
Abstract
Coffee has attracted significant research interest owing to its complex volatile composition and aroma, which imparts a pleasant sensorial experience that remains challenging to analyse and interpret. This review summarises analytical challenges associated with coffee's volatile and matrix complexity, and recent developments in instrumental techniques to resolve them. The benefits of state-of-the-art analytical techniques applied to coffee volatile analysis from experimental design to sample preparation, separation, detection, and data analysis are evaluated. Complementary method selection coupled with progressive experimental design and data analysis are vital to unravel the increasing comprehensiveness of coffee volatile datasets. Considering this, analytical workflows for conventional, targeted, and untargeted coffee volatile analyses are thus proposed considering the trends towards sorptive extraction, multidimensional gas chromatography, and high-resolution mass spectrometry. In conclusion, no single analytical method addresses coffee's complexity in its entirely, and volatile analysis must be tailored to the key objectives and concerns of the analyst.
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Affiliation(s)
- Aileen Pua
- Mane SEA Pte Ltd, 3 Biopolis Drive, #07-17/18/19 Synapse, Singapore 138623, Sigapore; Department of Food Science and Technology, National University of Singapore, S14 Level 5, Science Drive 2, Singapore 117542, Sigapore
| | - Rui Min Vivian Goh
- Mane SEA Pte Ltd, 3 Biopolis Drive, #07-17/18/19 Synapse, Singapore 138623, Sigapore
| | - Yunle Huang
- Mane SEA Pte Ltd, 3 Biopolis Drive, #07-17/18/19 Synapse, Singapore 138623, Sigapore; Department of Food Science and Technology, National University of Singapore, S14 Level 5, Science Drive 2, Singapore 117542, Sigapore
| | - Vivien Chia Yen Tang
- Mane SEA Pte Ltd, 3 Biopolis Drive, #07-17/18/19 Synapse, Singapore 138623, Sigapore
| | - Kim-Huey Ee
- Mane SEA Pte Ltd, 3 Biopolis Drive, #07-17/18/19 Synapse, Singapore 138623, Sigapore
| | - Maurin Cornuz
- Mane SEA Pte Ltd, 3 Biopolis Drive, #07-17/18/19 Synapse, Singapore 138623, Sigapore
| | - Shao Quan Liu
- Department of Food Science and Technology, National University of Singapore, S14 Level 5, Science Drive 2, Singapore 117542, Sigapore.
| | - Benjamin Lassabliere
- Mane SEA Pte Ltd, 3 Biopolis Drive, #07-17/18/19 Synapse, Singapore 138623, Sigapore
| | - Bin Yu
- Mane SEA Pte Ltd, 3 Biopolis Drive, #07-17/18/19 Synapse, Singapore 138623, Sigapore.
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10
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Chromatographic-Based Platforms as New Avenues for Scientific Progress and Sustainability. Molecules 2022; 27:molecules27165267. [PMID: 36014506 PMCID: PMC9412595 DOI: 10.3390/molecules27165267] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2022] [Revised: 07/29/2022] [Accepted: 08/15/2022] [Indexed: 11/29/2022] Open
Abstract
Chromatography was born approximately one century ago and has undergone outstanding technological improvements in innovation, research, and development since then that has made it fundamental to advances in knowledge at different levels, with a relevant impact on the well-being and health of individuals. Chromatography boosted a comprehensive and deeper understanding of the complexity and diversity of human–environment interactions and systems, how these interactions affect our life, and the several societal challenges we are currently facing, namely those related to the sustainability of our planet and the future generations. From the life sciences, which allowed us to identify endogenous metabolites relevant to disease mechanisms, to the OMICS field, nanotechnology, clinical and forensic analysis, drug discovery, environment, and “foodprint”, among others, the wide range of applications of today’s chromatographic techniques is impressive. This is fueled by a great variability of powerful chromatographic instruments currently available, with very high sensitivity, resolution, and identification capacity, that provide a strong basis for an analytical platform able to support the challenging demands of the postgenomic and post COVID-19 eras. Within this context, this review aims to address the great utility of chromatography in helping to cope with several societal-based challenges, such as the characterization of disease and/or physiological status, and the response to current agri-food industry challenges of food safety and sustainability, or the monitoring of environmental contamination. These are increasingly important challenges considering the climate changes, the tons of food waste produced every day, and the exponential growth of the human population. In this context, the principles governing the separation mechanisms in chromatography as well the different types and chromatographic techniques will be described. In addition, the major achievements and the most important technological advances will be also highlighted. Finally, a set of studies was selected in order to evince the importance of different chromatographic analyses to understand processes or create fundamental information in the response to current societal challenges.
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11
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Squara S, Stilo F, Cialiè Rosso M, Liberto E, Spigolon N, Genova G, Castello G, Bicchi C, Cordero C. Corylus avellana L. Aroma Blueprint: Potent Odorants Signatures in the Volatilome of High Quality Hazelnuts. FRONTIERS IN PLANT SCIENCE 2022; 13:840028. [PMID: 35310662 PMCID: PMC8929135 DOI: 10.3389/fpls.2022.840028] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/20/2021] [Accepted: 01/24/2022] [Indexed: 05/24/2023]
Abstract
The volatilome of hazelnuts (Corylus avellana L.) encrypts information about phenotype expression as a function of cultivar/origin, post-harvest practices, and their impact on primary metabolome, storage conditions and shelf-life, spoilage, and quality deterioration. Moreover, within the bulk of detectable volatiles, just a few of them play a key role in defining distinctive aroma (i.e., aroma blueprint) and conferring characteristic hedonic profile. In particular, in raw hazelnuts, key-odorants as defined by sensomics are: 2,3-diethyl-5-methylpyrazine (musty and nutty); 2-acetyl-1,4,5,6-tetrahydropyridine (caramel); 2-acetyl-1-pyrroline (popcorn-like); 2-acetyl-3,4,5,6-tetrahydropyridine (roasted, caramel); 3-(methylthio)-propanal (cooked potato); 3-(methylthio)propionaldehyde (musty, earthy); 3,7-dimethylocta-1,6-dien-3-ol/linalool (citrus, floral); 3-methyl-4-heptanone (fruity, nutty); and 5-methyl-(E)-2-hepten-4-one (nutty, fruity). Dry-roasting on hazelnut kernels triggers the formation of additional potent odorants, likely contributing to the pleasant aroma of roasted nuts. Whiting the newly formed aromas, 2,3-pentanedione (buttery); 2-propionyl-1-pyrroline (popcorn-like); 3-methylbutanal; (malty); 4-hydroxy-2,5-dimethyl-3(2H)-furanone (caramel); dimethyl trisulfide (sulfurous, cabbage) are worthy to be mentioned. The review focuses on high-quality hazelnuts adopted as premium primary material by the confectionery industry. Information on primary and secondary/specialized metabolites distribution introduces more specialized sections focused on volatilome chemical dimensions and their correlation to cultivar/origin, post-harvest practices and storage, and spoilage phenomena. Sensory-driven studies, based on sensomic principles, provide insights on the aroma blueprint of raw and roasted hazelnuts while robust correlations between non-volatile precursors and key-aroma compounds pose solid foundations to the conceptualization of aroma potential.
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Affiliation(s)
- Simone Squara
- Dipartimento di Scienza e Tecnologia del Farmaco, Università degli Studi di Torino, Turin, Italy
| | - Federico Stilo
- Dipartimento di Scienza e Tecnologia del Farmaco, Università degli Studi di Torino, Turin, Italy
- Laemmegroup - A Tentamus Company, Turin, Italy
| | - Marta Cialiè Rosso
- Dipartimento di Scienza e Tecnologia del Farmaco, Università degli Studi di Torino, Turin, Italy
| | - Erica Liberto
- Dipartimento di Scienza e Tecnologia del Farmaco, Università degli Studi di Torino, Turin, Italy
| | | | | | | | - Carlo Bicchi
- Dipartimento di Scienza e Tecnologia del Farmaco, Università degli Studi di Torino, Turin, Italy
| | - Chiara Cordero
- Dipartimento di Scienza e Tecnologia del Farmaco, Università degli Studi di Torino, Turin, Italy
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Rocha SM, Costa CP, Martins C. Aroma Clouds of Foods: A Step Forward to Unveil Food Aroma Complexity Using GC × GC. Front Chem 2022; 10:820749. [PMID: 35300387 PMCID: PMC8921485 DOI: 10.3389/fchem.2022.820749] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2021] [Accepted: 01/24/2022] [Indexed: 12/05/2022] Open
Abstract
The human senses shape the life in several aspects, namely well-being, socialization, health status, and diet, among others. However, only recently, the understanding of this highly sophisticated sensory neuronal pathway has gained new advances. Also, it is known that each olfactory receptor cell expresses only one type of odorant receptor, and each receptor can detect a limited number of odorant substances. Odorant substances are typically volatile or semi-volatile in nature, exhibit low relative molecular weight, and represent a wide variety of chemical families. These molecules may be released from foods, constituting clouds surrounding them, and are responsible for their aroma properties. A single natural aroma may contain a huge number of volatile components, and some of them are present in trace amounts, which make their study especially difficult. Understanding the components of food aromas has become more important than ever with the transformation of food systems and the increased innovation in the food industry. Two-dimensional gas chromatography and time-of-flight mass spectrometry (GC × GC-ToFMS) seems to be a powerful technique for the analytical coverage of the food aromas. Thus, the main purpose of this review is to critically discuss the potential of the GC × GC–based methodologies, combined with a headspace solvent-free microextraction technique, in tandem with data processing and data analysis, as a useful tool to the analysis of the chemical aroma clouds of foods. Due to the broad and complex nature of the aroma chemistry subject, some concepts and challenges related to the characterization of volatile molecules and the perception of aromas will be presented in advance. All topics covered in this review will be elucidated, as much as possible, with examples reported in recent publications, to make the interpretation of the fascinating world of food aroma chemistry more attractive and perceptive.
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Jiang M, Cao J, Zhang C, Su B, Wang S, Ning N, Lei T, Li P. A comprehensive strategy for quality evaluation of Wushe Zhiyang Pills by integrating UPLC-DAD fingerprint and multi-ingredients rapid quantitation with UPLC-MS/MS technology. J Pharm Biomed Anal 2021; 210:114556. [PMID: 34979493 DOI: 10.1016/j.jpba.2021.114556] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2021] [Revised: 12/23/2021] [Accepted: 12/25/2021] [Indexed: 12/18/2022]
Abstract
Wushe Zhiyang Pills (WZP), a classical traditional Chinese medicine (TCM) formula, has been extensively used for the treatment of chronic urticaria and other relevant dermatologic diseases. In this study, a holistic method combining ultra-performance liquid chromatography coupled with diode array detector (UPLC-DAD) fingerprint and multi-components quantitative analysis was developed and validated for quality evaluation of WZP. As a result, a total of 34 characteristic peaks were screened to assess the chemical similarities of 16 batches of WZP samples. By coupling with a hybrid linear ion trap (LTQ)-Orbitrap mass spectrometer, 163 compounds were identified or tentatively identified in WZP. Furthermore, a rapid quantitative analysis method based on ultra-performance liquid chromatography coupled to tandem mass spectrometry (UPLC-MS/MS) technique was optimized and validated for simultaneously determination of 16 chemical markers within 13 min in WZP. The developed UPLC-MS/MS approach was successfully employed for analysis of 16 batches of WZP samples. The proposed comprehensive method combining holistic chemical profile with notable target compounds has proved to be suitable for the systematical quality evaluation of WZP, which provides a feasible and efficient strategy to monitor the overall quality consistency of TCM formulae.
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Affiliation(s)
- Maoyuan Jiang
- State Key Laboratory of Quality Research in Chinese Medicine, Institute of Chinese Medical Sciences, University of Macau, Macau, China
| | - Jiliang Cao
- College of Pharmacy, Shenzhen Technology University, Shenzhen, China
| | - Chunbo Zhang
- Guangzhou Baiyunshan Zhongyi Pharmaceutical Co., Ltd, Guangzhou, China
| | - Biru Su
- Guangzhou Baiyunshan Zhongyi Pharmaceutical Co., Ltd, Guangzhou, China
| | - Shengpeng Wang
- State Key Laboratory of Quality Research in Chinese Medicine, Institute of Chinese Medical Sciences, University of Macau, Macau, China.
| | - Na Ning
- Guangzhou Baiyunshan Zhongyi Pharmaceutical Co., Ltd, Guangzhou, China
| | - Ting Lei
- Guangzhou Baiyunshan Zhongyi Pharmaceutical Co., Ltd, Guangzhou, China
| | - Peng Li
- State Key Laboratory of Quality Research in Chinese Medicine, Institute of Chinese Medical Sciences, University of Macau, Macau, China.
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Cuadros-Rodríguez L, Ortega-Gavilán F, Martín-Torres S, Arroyo-Cerezo A, Jiménez-Carvelo AM. Chromatographic Fingerprinting and Food Identity/Quality: Potentials and Challenges. JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY 2021; 69:14428-14434. [PMID: 34813301 PMCID: PMC8896688 DOI: 10.1021/acs.jafc.1c05584] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/05/2023]
Abstract
Chromatograms are a valuable source of information about the chemical composition of the food being analyzed. Sometimes, this information is not explicit and appears in a hidden or not obvious way. Thus, the use of chemometric tools and data-mining methods to extract it is required. The fingerprint provided by a chromatogram offers the possibility to perform both identity and quality testing of foodstuffs. This perspective is aimed at providing an updated opinion of chromatographic fingerprinting methodology in the field of food authentication. Furthermore, the limitations, its absence in official analytical methods, and the future directions of this methodology are discussed.
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Zhao X, Shen Y, Yan M, Yuan Z. Flavonoid profiles in peels and arils of pomegranate cultivars. JOURNAL OF FOOD MEASUREMENT AND CHARACTERIZATION 2021. [DOI: 10.1007/s11694-021-01216-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/14/2023]
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