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Modesti M, Ferri S, Alicandri E, Cardarelli M, Ciaffi M, Santis DD. Unraveling genetic, compositional, and organoleptic traits of elephant garlic of different geographical origins. Food Chem 2024; 460:140643. [PMID: 39098195 DOI: 10.1016/j.foodchem.2024.140643] [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: 03/10/2024] [Revised: 06/24/2024] [Accepted: 07/24/2024] [Indexed: 08/06/2024]
Abstract
The ancient native variety of elephant garlic, known as "Aglione della Valdichiana" and cultivated in the Valdichiana area of Tuscany, Italy, has gained recent recognition in the National Catalog of Local Varieties. The renewed interest in traditional products has led to a focus on identifying local varieties of elephant garlic, driven by their distinctive organoleptic and nutritional characteristics. However, other types of elephant garlic nowadays available on the market appear similar, but challenges exist in discerning their origin and composition. This study focused on characterizing elephant garlic from Lazio, Italy, and the Val di Chiana region through genetic, chemical, and aromatic analyses to understand genetic and geographic influences. ISSR markers differentiated elephant garlic from common varieties and highlighted regional genetic diversity. Chemical analysis revealed higher polyphenol content and antioxidant activity in elephant garlic compared to common garlic. Moreover, analysis highlights the variability in the concentrations of sulfur-containing compounds between common and elephant garlic. Aromatic and sensory assessments underscored distinctions between garlic types and regions, emphasizing the significant impact of geographic origin and genetic background on metabolite profiles in Allium genotypes.
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Affiliation(s)
- Margherita Modesti
- Department for Innovation in Biological, Agro-food and Forest systems (DIBAF), University of Tuscia, Via San Camillo De Lellis snc, 01100 Viterbo, (VT) Italy.
| | - Serena Ferri
- Department for Innovation in Biological, Agro-food and Forest systems (DIBAF), University of Tuscia, Via San Camillo De Lellis snc, 01100 Viterbo, (VT) Italy.
| | - Enrica Alicandri
- Department for Innovation in Biological, Agro-food and Forest systems (DIBAF), University of Tuscia, Via San Camillo De Lellis snc, 01100 Viterbo, (VT) Italy.
| | - Mariateresa Cardarelli
- Department of Agriculture and Forest Sciences (DAFNE), University of Tuscia, Via San Camillo De Lellis snc, 01100 Viterbo, (VT) Italy.
| | - Mario Ciaffi
- Department for Innovation in Biological, Agro-food and Forest systems (DIBAF), University of Tuscia, Via San Camillo De Lellis snc, 01100 Viterbo, (VT) Italy.
| | - Diana De Santis
- Department for Innovation in Biological, Agro-food and Forest systems (DIBAF), University of Tuscia, Via San Camillo De Lellis snc, 01100 Viterbo, (VT) Italy.
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Eramo V, Modesti M, Riggi R, Forniti R, Lembo M, Vinciguerra V, Botondi R. Preserving the Aromatic Profile of Aged Toma Piemontese PDO Cheese with Gaseous Ozone Technology: A Quality Assessment via SPME-GC-MS/E-Nose. J Dairy Sci 2024:S0022-0302(24)01054-3. [PMID: 39098496 DOI: 10.3168/jds.2024-25131] [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: 05/07/2024] [Accepted: 07/10/2024] [Indexed: 08/06/2024]
Abstract
The efficacy of low gaseous ozone concentrations (300 ppb and 400 ppb) in controlling spoilage microflora and preserving the quality of the aged Toma Piemontese PDO cheese was explored. The research integrates consumer tests, Gas Chromatography-Mass Spectrometry (GC-MS) with Solid phase Microextraction (SPME) fiber and Electronic Nose (e-nose) analysis to conduct a detailed assessment of the cheese's aromatic composition. Results indicate that low ozone concentrations significantly affected spoilage microflora, preserving the overall quality. Through GC-FID (Flame Ionization Detection) analysis, 22 of all identified compounds by GC-MS were quantified, including ethyl acetate (sweety), diacetyl and acetoin (buttery). Compared with the untreated sample, ozone treatments maintained the distinctive characteristics of Toma Piemontese PDO cheese, reducing the formation of off-flavors-related compounds (i.e., ethanol). Moreover, ozone-treated samples correlated with positive aroma scores given by consumers. However, sensory perception involves complex interactions among aroma compounds, highlighting the importance of advanced approaches. The utilization of a 12-sensor Quartz Microbalance (QMB) e-nose played a crucial role in identifying subtle differences in aroma, contributing to a more nuanced understanding of ozone treatments on the cheese's sensory profile. In conclusion, this research demonstrates the potential of ozone technology as a viable and effective method for improving the quality of aged Toma Piemontese PDO cheese.
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Affiliation(s)
- V Eramo
- Department for Innovation in Biological, Agro-Food and Forest Systems - DIBAF, University of Tuscia, via S. Camillo de Lellis snc, 01100 Viterbo, Italy
| | - M Modesti
- Department for Innovation in Biological, Agro-Food and Forest Systems - DIBAF, University of Tuscia, via S. Camillo de Lellis snc, 01100 Viterbo, Italy
| | - R Riggi
- Department for Innovation in Biological, Agro-Food and Forest Systems - DIBAF, University of Tuscia, via S. Camillo de Lellis snc, 01100 Viterbo, Italy
| | - R Forniti
- Department for Innovation in Biological, Agro-Food and Forest Systems - DIBAF, University of Tuscia, via S. Camillo de Lellis snc, 01100 Viterbo, Italy
| | - M Lembo
- Department for Innovation in Biological, Agro-Food and Forest Systems - DIBAF, University of Tuscia, via S. Camillo de Lellis snc, 01100 Viterbo, Italy
| | - V Vinciguerra
- Department for Innovation in Biological, Agro-Food and Forest Systems - DIBAF, University of Tuscia, via S. Camillo de Lellis snc, 01100 Viterbo, Italy
| | - R Botondi
- Department for Innovation in Biological, Agro-Food and Forest Systems - DIBAF, University of Tuscia, via S. Camillo de Lellis snc, 01100 Viterbo, Italy.
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Littarru E, Modesti M, Alfieri G, Pettinelli S, Floridia G, Bellincontro A, Sanmartin C, Brizzolara S. Optimizing the winemaking process: NIR spectroscopy and e-nose analysis for the online monitoring of fermentation. JOURNAL OF THE SCIENCE OF FOOD AND AGRICULTURE 2024. [PMID: 38284536 DOI: 10.1002/jsfa.13336] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/30/2023] [Revised: 01/08/2024] [Accepted: 01/26/2024] [Indexed: 01/30/2024]
Abstract
BACKGROUND In the winemaking process, the rapid determination of specific quality parameters such as sugar content, pH, acidity, concentrations of phenolic compounds, anthocyanins and volatile organic compounds is crucial for high-quality wine production. Traditional analytical methods allow for precise quantification of these parameters but are time-consuming and expensive. This article explores the potential application of non-destructive analytical technique (NDAT) (near infra-red [NIR] and e-nose), as efficient alternatives for online monitoring of fermentation working on two different winemaking tanks and applying chemometrics to develop predictive models to correlate non-destructive and analytical data. RESULTS NIR measurements have been used to build principal components regression models, showing good prediction capability for polyphenols, anthocyanins, glucose and fructose. Both offline and online e-nose applications demonstrate good capability of discriminating different fermentation phases, in agreement with aromatic profile changes observed via gas chromatography-mass spectrometry analysis. Moreover, correlation analysis reveals the potential of quartz microbalances, Taguchi Gas Sensors and H2 S sensors in predicting the concentration of compounds of great interest for winemaking (e.g. C6 alcohols, ketones, terpenes and ethyl esters) highlighting the robust connection between sensor data and specific chemical classes. CONCLUSION This research aims to showcase the potential employment of NDAT for online monitoring the evolution of must composition during fermentation. The proposed methods could potentially fulfil a longstanding requirement of winemakers, enabling them to closely monitor fermentation allowing the timely making of important technical decisions aimed at achieving oenological objectives in wine production. © 2024 Society of Chemical Industry.
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Affiliation(s)
- Eleonora Littarru
- Crop Science Research Center, Scuola Superiore Sant'Anna, Pisa, Italy
| | - Margherita Modesti
- Department for Innovation in Biological, Agro-Food and Forest System, University of Tuscia, Viterbo, Italy
| | - Gianmarco Alfieri
- Department for Innovation in Biological, Agro-Food and Forest System, University of Tuscia, Viterbo, Italy
| | - Stefano Pettinelli
- Department of Agriculture Food Environment, University of Pisa, Pisa, Italy
| | | | - Andrea Bellincontro
- Department for Innovation in Biological, Agro-Food and Forest System, University of Tuscia, Viterbo, Italy
| | - Chiara Sanmartin
- Department of Agriculture Food Environment, University of Pisa, Pisa, Italy
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Chen Z, Lin H, Wang F, Adade SYSS, Peng T, Chen Q. Discrimination of toxigenic and non-toxigenic Aspergillus flavus in wheat based on nanocomposite colorimetric sensor array. Food Chem 2024; 430:137048. [PMID: 37544158 DOI: 10.1016/j.foodchem.2023.137048] [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: 03/28/2023] [Revised: 07/18/2023] [Accepted: 07/27/2023] [Indexed: 08/08/2023]
Abstract
A novel method was developed for the early detection of wheat infected with Aspergillus flavus (A. flavus) using a nanocomposite colorimetric sensors array (CSA). LC-MS analysis revealed the presence of Aflatoxin B1 (AFB1) and Aflatoxin B2 (AFB2) on day seven, demonstrating mycotoxin variabilities in infected wheat. HS-SPME-GC-MS analysis detected 2-methylbutyral, a gas exclusively associated with toxigenic A. flavus. The CSA was modified using three nanoparticles of MOF and successfully used to detect the wheat infected with A. flavus. Discrimination of different types of infected wheat samples was achieved using the RGB difference map and Principal Component Analysis (PCA) model. Additionally, the Linear Discriminant Analysis (LDA) model accurately predicted the presence of toxigenic A. flavus at various stages of infection. These findings highlight the promising capabilities of nanocomposite CSA for early-stage detection of A. flavus infection in wheat.
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Affiliation(s)
- Zeyu Chen
- School of Food and Biological Engineering, Jiangsu University, No. 301 Xuefu Road, Jiangsu 212013, PR China
| | - Hao Lin
- School of Food and Biological Engineering, Jiangsu University, No. 301 Xuefu Road, Jiangsu 212013, PR China.
| | - Fuyun Wang
- School of Food and Biological Engineering, Jiangsu University, No. 301 Xuefu Road, Jiangsu 212013, PR China
| | | | - Tingting Peng
- School of Food and Biological Engineering, Jiangsu University, No. 301 Xuefu Road, Jiangsu 212013, PR China
| | - Quansheng Chen
- School of Food and Biological Engineering, Jiangsu University, No. 301 Xuefu Road, Jiangsu 212013, PR China; College of Food and Biological Engineering, Jimei University, Xiamen 361021, PR China.
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Muñoz-Castells R, Modesti M, Moreno-García J, Rodríguez-Moreno M, Catini A, Capuano R, Di Natale C, Bellincontro A, Moreno J. Differentiation through E-nose and GC-FID data modeling of rosé sparkling wines elaborated via traditional and Charmat methods. JOURNAL OF THE SCIENCE OF FOOD AND AGRICULTURE 2023. [PMID: 38018373 DOI: 10.1002/jsfa.13178] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/30/2023] [Revised: 11/13/2023] [Accepted: 11/29/2023] [Indexed: 11/30/2023]
Abstract
BACKGROUND The growing demand for rosé sparkling wine has led to an increase in its production. Traditional or Charmat wine-making influence the aromatic profiles in wine. An analysis such as gas chromatography makes an accurate assessment of wines based on volatile detection but is resource intensive. On the other hand, the electronic nose (E-nose) has emerged as a versatile tool, offering rapid, cost-effective discrimination of wines, and contributing insights into quality and production processes because of its aptitude to perform a global aromatic pattern evaluation. In the present study, rosé sparkling wines were produced using both methods and major volatile compounds and polyols were measured. Wines were tested by E-nose and predictive modelling was performed to distinguish them. RESULTS Volatile profiles showed differences between Charmat and traditional methods, especially at 5 months of aging. A partial least square discriminant analysis (PLS-DA) was carried out on E-nose detections, obtaining a model that describes 94% of the variability, separating samples in different clusters and correctly identifying different classes. The differences derived from PLS-DA clustering agree with the results obtained by gas-chromatography. Moreover, a principal components regression model was built to verify the ability of the E-nose to non-destructively predict the amount of different volatiles analyzed. CONCLUSION Production methods of Rosé sparkling wine affect the final wine aroma profiles as a result of the differences in terms of volatiles. The PLS-DA of the data obtained with E-nose reveals that distinguishing between Charmat and traditional methods is possible. Moreover, predictive models using gas chromatography-flame ionization detection analysis and E-nose highlight the possibility of fast and efficient prediction of volatiles from the E-nose. © 2023 The Authors. Journal of The Science of Food and Agriculture published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry.
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Affiliation(s)
- Raquel Muñoz-Castells
- Department of Agricultural Chemistry, Edaphology and Microbiology, Marie Curie (C3) and Severo Ochoa (C6) Buildings, Agrifood Campus of International Excellence ceiA3, University of Córdoba, Córdoba, Spain
| | - Margherita Modesti
- Department for Innovation of Biological, Agrofood and Forest Systems (DIBAF), University of Tuscia, Viterbo, Italy
| | - Jaime Moreno-García
- Department of Agricultural Chemistry, Edaphology and Microbiology, Marie Curie (C3) and Severo Ochoa (C6) Buildings, Agrifood Campus of International Excellence ceiA3, University of Córdoba, Córdoba, Spain
| | - María Rodríguez-Moreno
- Department of Agricultural Chemistry, Edaphology and Microbiology, Marie Curie (C3) and Severo Ochoa (C6) Buildings, Agrifood Campus of International Excellence ceiA3, University of Córdoba, Córdoba, Spain
| | - Alexandro Catini
- Department of Electronic Engineering, University of Rome Tor Vergata, Rome, Italy
| | - Rosamaria Capuano
- Department of Electronic Engineering, University of Rome Tor Vergata, Rome, Italy
| | - Corrado Di Natale
- Department of Electronic Engineering, University of Rome Tor Vergata, Rome, Italy
| | - Andrea Bellincontro
- Department for Innovation of Biological, Agrofood and Forest Systems (DIBAF), University of Tuscia, Viterbo, Italy
| | - Juan Moreno
- Department of Agricultural Chemistry, Edaphology and Microbiology, Marie Curie (C3) and Severo Ochoa (C6) Buildings, Agrifood Campus of International Excellence ceiA3, University of Córdoba, Córdoba, Spain
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Cheli F, Ottoboni M, Fumagalli F, Mazzoleni S, Ferrari L, Pinotti L. E-Nose Technology for Mycotoxin Detection in Feed: Ready for a Real Context in Field Application or Still an Emerging Technology? Toxins (Basel) 2023; 15:146. [PMID: 36828460 PMCID: PMC9958648 DOI: 10.3390/toxins15020146] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2022] [Revised: 01/17/2023] [Accepted: 02/04/2023] [Indexed: 02/16/2023] Open
Abstract
Mycotoxin risk in the feed supply chain poses a concern to animal and human health, economy, and international trade of agri-food commodities. Mycotoxin contamination in feed and food is unavoidable and unpredictable. Therefore, monitoring and control are the critical points. Effective and rapid methods for mycotoxin detection, at the levels set by the regulations, are needed for an efficient mycotoxin management. This review provides an overview of the use of the electronic nose (e-nose) as an effective tool for rapid mycotoxin detection and management of the mycotoxin risk at feed business level. E-nose has a high discrimination accuracy between non-contaminated and single-mycotoxin-contaminated grain. However, the predictive accuracy of e-nose is still limited and unsuitable for in-field application, where mycotoxin co-contamination occurs. Further research needs to be focused on the sensor materials, data analysis, pattern recognition systems, and a better understanding of the needs of the feed industry for a safety and quality management of the feed supply chain. A universal e-nose for mycotoxin detection is not realistic; a unique e-nose must be designed for each specific application. Robust and suitable e-nose method and advancements in signal processing algorithms must be validated for specific needs.
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Affiliation(s)
- Federica Cheli
- Department of Veterinary Medicine and Animal Science, University of Milan, 26900 Lodi, Italy
- CRC I-WE (Coordinating Research Centre: Innovation for Well-Being and Environment), University of Milan, 20100 Milan, Italy
| | - Matteo Ottoboni
- Department of Veterinary Medicine and Animal Science, University of Milan, 26900 Lodi, Italy
| | - Francesca Fumagalli
- Department of Veterinary Medicine and Animal Science, University of Milan, 26900 Lodi, Italy
| | - Sharon Mazzoleni
- Department of Veterinary Medicine and Animal Science, University of Milan, 26900 Lodi, Italy
| | - Luca Ferrari
- Department of Veterinary Medicine and Animal Science, University of Milan, 26900 Lodi, Italy
| | - Luciano Pinotti
- Department of Veterinary Medicine and Animal Science, University of Milan, 26900 Lodi, Italy
- CRC I-WE (Coordinating Research Centre: Innovation for Well-Being and Environment), University of Milan, 20100 Milan, Italy
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Capuano R, Mansi A, Paba E, Marcelloni AM, Chiominto A, Proietto AR, Gordiani A, Catini A, Paolesse R, Tranfo G, Di Natale C. A Pilot Study for Legionella pneumophila Volatilome Characterization Using a Gas Sensor Array and GC/MS Techniques. SENSORS (BASEL, SWITZERLAND) 2023; 23:1401. [PMID: 36772440 PMCID: PMC9920052 DOI: 10.3390/s23031401] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/21/2022] [Revised: 01/13/2023] [Accepted: 01/19/2023] [Indexed: 06/18/2023]
Abstract
Legionellosis is a generic term describing the pneumonic (Legionnaires' disease, LD) and non-pneumonic (Pontiac fever, PF) forms of infection with bacteria belonging to the genus Legionella. Currently, the techniques used to detect Legionella spp. in water samples have certain limitations and drawbacks, and thus, there is a need to identify new tools to carry out low-cost and rapid analysis. In this regard, several studies demonstrated that a volatolomics approach rapidly detects and discriminates different species of microorganisms via their volatile signature. In this paper, the volatile organic compounds (VOCs) pattern emitted in vitro by Legionella pneumophila cultures is characterized and compared to those produced by other Legionella species and by Pseudomonas aeruginosa, using a gas sensor array and gas chromatograph mass spectrometer (GC-MS). Bacterial cultures were measured at the 3rd and 7th day after the incubation. Sensor array data analyzed via the K-nearest neighbours (k-NN) algorithm showed a sensitivity to Legionella pneumophila identification at around 89%. On the other hand, GC-MS identified a bouquet of VOCs, mainly alcohols and ketones, that enable the differentiation of Legionella pneumophila in respect to other waterborne microorganisms.
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Affiliation(s)
- Rosamaria Capuano
- Department of Electronic Engineering, University of Rome Tor Vergata, Via del Politecnico 1, 00133 Rome, Italy
- Interdepartmental Centre for Volatilomics ‘A. D’Amico’, University of Rome Tor Vergata, Via del Politecnico 1, 00133 Rome, Italy
| | - Antonella Mansi
- Department of Occupational and Environmental Medicine, Epidemiology and Hygiene, Italian Workers’ Compensation Authority (INAIL), Via Fontana Candida 1, Monte Porzio Catone, 00078 Rome, Italy
| | - Emilia Paba
- Department of Occupational and Environmental Medicine, Epidemiology and Hygiene, Italian Workers’ Compensation Authority (INAIL), Via Fontana Candida 1, Monte Porzio Catone, 00078 Rome, Italy
| | - Anna Maria Marcelloni
- Department of Occupational and Environmental Medicine, Epidemiology and Hygiene, Italian Workers’ Compensation Authority (INAIL), Via Fontana Candida 1, Monte Porzio Catone, 00078 Rome, Italy
| | - Alessandra Chiominto
- Department of Occupational and Environmental Medicine, Epidemiology and Hygiene, Italian Workers’ Compensation Authority (INAIL), Via Fontana Candida 1, Monte Porzio Catone, 00078 Rome, Italy
| | - Anna Rita Proietto
- Department of Occupational and Environmental Medicine, Epidemiology and Hygiene, Italian Workers’ Compensation Authority (INAIL), Via Fontana Candida 1, Monte Porzio Catone, 00078 Rome, Italy
| | - Andrea Gordiani
- Department of Occupational and Environmental Medicine, Epidemiology and Hygiene, Italian Workers’ Compensation Authority (INAIL), Via Fontana Candida 1, Monte Porzio Catone, 00078 Rome, Italy
| | - Alexandro Catini
- Department of Electronic Engineering, University of Rome Tor Vergata, Via del Politecnico 1, 00133 Rome, Italy
- Interdepartmental Centre for Volatilomics ‘A. D’Amico’, University of Rome Tor Vergata, Via del Politecnico 1, 00133 Rome, Italy
| | - Roberto Paolesse
- Interdepartmental Centre for Volatilomics ‘A. D’Amico’, University of Rome Tor Vergata, Via del Politecnico 1, 00133 Rome, Italy
- Department of Chemical Science and Technology, University of Rome Tor Vergata, Via della Ricerca Scientifica, 00133 Rome, Italy
| | - Giovanna Tranfo
- Department of Occupational and Environmental Medicine, Epidemiology and Hygiene, Italian Workers’ Compensation Authority (INAIL), Via Fontana Candida 1, Monte Porzio Catone, 00078 Rome, Italy
| | - Corrado Di Natale
- Department of Electronic Engineering, University of Rome Tor Vergata, Via del Politecnico 1, 00133 Rome, Italy
- Interdepartmental Centre for Volatilomics ‘A. D’Amico’, University of Rome Tor Vergata, Via del Politecnico 1, 00133 Rome, Italy
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Dias T, Santos VS, Zorgani T, Ferreiro N, Rodrigues AI, Zaghdoudi K, Veloso ACA, Peres AM. A Lab-Made E-Nose-MOS Device for Assessing the Bacterial Growth in a Solid Culture Medium. BIOSENSORS 2022; 13:19. [PMID: 36671854 PMCID: PMC9855957 DOI: 10.3390/bios13010019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/05/2022] [Revised: 12/02/2022] [Accepted: 12/22/2022] [Indexed: 06/17/2023]
Abstract
The detection and level assessment of microorganisms is a practical quality/contamination indicator of food and water samples. Conventional analytical procedures (e.g., culture methods, immunological techniques, and polymerase chain reactions), while accurate and widely used, are time-consuming, costly, and generate a large amount of waste. Electronic noses (E-noses), combined with chemometrics, provide a direct, green, and non-invasive assessment of the volatile fraction without the need for sample pre-treatments. The unique olfactory fingerprint generated during each microorganism's growth can be a vehicle for its detection using gas sensors. A lab-made E-nose, comprising metal oxide semiconductor sensors was applied, to analyze solid medium containing Gram-positive (Enterococcus faecalis and Staphylococcus aureus) or Gram-negative (Escherichia coli and Pseudomonas aeruginosa) bacteria. The electrical-resistance signals generated by the E-nose coupled with linear discriminant analysis allowed the discrimination of the four bacteria (90% of correct classifications for leave-one-out cross-validation). Furthermore, multiple linear regression models were also established allowing quantifying the number of colony-forming units (CFU) (0.9428 ≤ R2 ≤ 0.9946), with maximum root mean square errors lower than 4 CFU. Overall, the E-nose showed to be a powerful qualitative-quantitative device for bacteria preliminary analysis, being envisaged its possible application in solid food matrices.
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Affiliation(s)
- Teresa Dias
- Centro de Investigação de Montanha (CIMO), Instituto Politécnico de Bragança, Campus de Santa Apolónia, 5300-253 Bragança, Portugal
- Laboratório Associado para a Sustentabilidade e Tecnologia em Região de Montanha (SusTEC), Instituto Politécnico de Bragança, Campus de Santa Apolónia, 5300-253 Bragança, Portugal
| | - Vítor S. Santos
- Centro de Investigação de Montanha (CIMO), Instituto Politécnico de Bragança, Campus de Santa Apolónia, 5300-253 Bragança, Portugal
- Laboratório Associado para a Sustentabilidade e Tecnologia em Região de Montanha (SusTEC), Instituto Politécnico de Bragança, Campus de Santa Apolónia, 5300-253 Bragança, Portugal
- Departamento de Medicina Veterinária, Universidade Federal de Mato Grosso, Campus Sinop, Avenida Alexandre Ferronato, nº 1200, Bairro Residencial Cidade Jardim, Sinop 78550-728, MT, Brazil
| | - Tarek Zorgani
- Centro de Investigação de Montanha (CIMO), Instituto Politécnico de Bragança, Campus de Santa Apolónia, 5300-253 Bragança, Portugal
- Laboratório Associado para a Sustentabilidade e Tecnologia em Região de Montanha (SusTEC), Instituto Politécnico de Bragança, Campus de Santa Apolónia, 5300-253 Bragança, Portugal
- Département Génie Chimique, Université Libre de Tunis, Avenue Khéreddine—Pacha Tunis, 30, Tunis 1002, Tunisia
| | - Nuno Ferreiro
- Centro de Investigação de Montanha (CIMO), Instituto Politécnico de Bragança, Campus de Santa Apolónia, 5300-253 Bragança, Portugal
- Laboratório Associado para a Sustentabilidade e Tecnologia em Região de Montanha (SusTEC), Instituto Politécnico de Bragança, Campus de Santa Apolónia, 5300-253 Bragança, Portugal
| | - Ana I. Rodrigues
- Centro de Investigação de Montanha (CIMO), Instituto Politécnico de Bragança, Campus de Santa Apolónia, 5300-253 Bragança, Portugal
- Laboratório Associado para a Sustentabilidade e Tecnologia em Região de Montanha (SusTEC), Instituto Politécnico de Bragança, Campus de Santa Apolónia, 5300-253 Bragança, Portugal
| | - Khalil Zaghdoudi
- Département Génie Chimique, Université Libre de Tunis, Avenue Khéreddine—Pacha Tunis, 30, Tunis 1002, Tunisia
| | - Ana C. A. Veloso
- Instituto Politécnico de Coimbra, ISEC, DEQB, Rua Pedro Nunes, Quinta da Nora, 3030-199 Coimbra, Portugal
- CEB—Centre of Biological Engineering, University of Minho, Campus de Gualtar, 4710-057 Braga, Portugal
- LABBELS–Associate Laboratory, 4800-058 Braga/Guimarães, Portugal
| | - António M. Peres
- Centro de Investigação de Montanha (CIMO), Instituto Politécnico de Bragança, Campus de Santa Apolónia, 5300-253 Bragança, Portugal
- Laboratório Associado para a Sustentabilidade e Tecnologia em Região de Montanha (SusTEC), Instituto Politécnico de Bragança, Campus de Santa Apolónia, 5300-253 Bragança, Portugal
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Cova CM, Rincón E, Espinosa E, Serrano L, Zuliani A. Paving the Way for a Green Transition in the Design of Sensors and Biosensors for the Detection of Volatile Organic Compounds (VOCs). BIOSENSORS 2022; 12:51. [PMID: 35200311 PMCID: PMC8869180 DOI: 10.3390/bios12020051] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/27/2021] [Revised: 01/13/2022] [Accepted: 01/18/2022] [Indexed: 05/06/2023]
Abstract
The efficient and selective detection of volatile organic compounds (VOCs) provides key information for various purposes ranging from the toxicological analysis of indoor/outdoor environments to the diagnosis of diseases or to the investigation of biological processes. In the last decade, different sensors and biosensors providing reliable, rapid, and economic responses in the detection of VOCs have been successfully conceived and applied in numerous practical cases; however, the global necessity of a sustainable development, has driven the design of devices for the detection of VOCs to greener methods. In this review, the most recent and innovative VOC sensors and biosensors with sustainable features are presented. The sensors are grouped into three of the main industrial sectors of daily life, including environmental analysis, highly important for toxicity issues, food packaging tools, especially aimed at avoiding the spoilage of meat and fish, and the diagnosis of diseases, crucial for the early detection of relevant pathological conditions such as cancer and diabetes. The research outcomes presented in the review underly the necessity of preparing sensors with higher efficiency, lower detection limits, improved selectivity, and enhanced sustainable characteristics to fully address the sustainable manufacturing of VOC sensors and biosensors.
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Affiliation(s)
- Camilla Maria Cova
- Department of Chemistry, University of Florence and CSGI, Via della Lastruccia 3, 50019 Sesto Fiorentino, FI, Italy;
| | - Esther Rincón
- BioPren Group, Inorganic Chemistry and Chemical Engineering Department, Faculty of Sciences, University of Cordoba, 14014 Cordoba, Spain; (E.R.); (E.E.); (L.S.)
| | - Eduardo Espinosa
- BioPren Group, Inorganic Chemistry and Chemical Engineering Department, Faculty of Sciences, University of Cordoba, 14014 Cordoba, Spain; (E.R.); (E.E.); (L.S.)
| | - Luis Serrano
- BioPren Group, Inorganic Chemistry and Chemical Engineering Department, Faculty of Sciences, University of Cordoba, 14014 Cordoba, Spain; (E.R.); (E.E.); (L.S.)
| | - Alessio Zuliani
- Department of Chemistry, University of Florence and CSGI, Via della Lastruccia 3, 50019 Sesto Fiorentino, FI, Italy;
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10
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Electronic Nose Differentiation between Quercus robur Acorns Infected by Pathogenic Oomycetes Phytophthora plurivora and Pythium intermedium. Molecules 2021; 26:molecules26175272. [PMID: 34500705 PMCID: PMC8434229 DOI: 10.3390/molecules26175272] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2021] [Revised: 08/19/2021] [Accepted: 08/27/2021] [Indexed: 12/16/2022] Open
Abstract
Identification of the presence of pathogenic oomycetes in infected plant material proved possible using an electronic nose, giving hope for a tool to assist nurseries and quarantine services. Previously, species of Phytophthora plurivora and Pythium intermedium have been successfully distinguished in germinated acorns of English oak Quercus robur L. Chemical compound analyses performed by HS-SPME/GC-MS (Headspace Solid-Phase Microextraction/Gas Chromatography-Mass Spectrometry) revealed the presence of volatile antifungal molecules produced by oak seedlings belonging to terpenes and alkanes. Compounds characteristic only of Phytophthora plurivora or Pythium intermedium were also found. Methylcarveol occurred when germinated acorns were infected with Pythium, while neophytadiene (isomer 2 and 3) occurred only when infected with Phytophthora. Moreover, isopentanol was found in acorns infected with Phytophthora, while in control, isopentyl vinyl ether was not observed anywhere else. Among the numerous volatile compounds, isopentanol only occurred in acorns infected with Phytophthora and methylcarveol in acorns infected with Pythium.
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11
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A Potentiometric Electronic Tongue as a Discrimination Tool of Water-Food Indicator/Contamination Bacteria. CHEMOSENSORS 2021. [DOI: 10.3390/chemosensors9060143] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Microorganism assessment plays a key role in food quality and safety control but conventional techniques are costly and/or time consuming. Alternatively, electronic tongues (E-tongues) can fulfill this critical task. Thus, a potentiometric lab-made E-tongue (40 lipid sensor membranes) was used to differentiate four common food contamination bacteria, including two Gram positive (Enterococcus faecalis, Staphylococcus aureus) and two Gram negative (Escherichia coli, Pseudomonas aeruginosa). Principal component analysis and a linear discriminant analysis-simulated annealing algorithm (LDA-SA) showed that the potentiometric signal profiles acquired during the analysis of aqueous solutions containing known amounts of each studied bacteria allowed a satisfactory differentiation of the four bacterial strains. An E-tongue-LDA-SA model (12 non-redundant sensors) correctly classified 98 ± 5% of the samples (repeated K-fold-CV), the satisfactory performance of which can be attributed to the capability of the lipid membranes to establish electrostatic interactions/hydrogen bonds with hydroxyl, amine and/or carbonyl groups, which are comprised in the bacteria outer membranes. Furthermore, multiple linear regression models, based on selected subsets of E-tongue sensors (12–15 sensors), also allowed quantifying the bacteria contents in aqueous solutions (0.993 ± 0.011 ≤ R2 ≤ 0.998 ± 0.005, for repeated K-fold-CV). In conclusion, the E-tongue could be of great value as a preliminary food quality and safety diagnosis tool.
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12
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Savio S, di Natale C, Paolesse R, Lvova L, Congestri R. Keeping Track of Phaeodactylum tricornutum (Bacillariophyta) Culture Contamination by Potentiometric E-Tongue. SENSORS 2021; 21:s21124052. [PMID: 34204672 PMCID: PMC8231153 DOI: 10.3390/s21124052] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/07/2021] [Revised: 06/03/2021] [Accepted: 06/09/2021] [Indexed: 11/16/2022]
Abstract
The large-scale cultivation of microalgae provides a wide spectrum of marketable bioproducts, profitably used in many fields, from the preparation of functional health products and feed supplement in aquaculture and animal husbandry to biofuels and green chemistry agents. The commercially successful algal biomass production requires effective strategies to maintain the process at desired productivity and stability levels. Hence, the development of effective early warning methods to timely indicate remedial actions and to undertake countermeasures is extremely important to avoid culture collapse and consequent economic losses. With the aim to develop an early warning method of algal contamination, the potentiometric E-tongue was applied to record the variations in the culture environments, over the whole growth process, of two unialgal cultures, Phaeodactylum tricornutum and a microalgal contaminant, along with those of their mixed culture. The E-tongue system ability to distinguish the cultures and to predict their growth stage, through the application of multivariate data analysis, was shown. A PLS regression method applied to the E-tongue output data allowed a good prediction of culture growth time, expressed as growth days, with R2 values in a range from 0.913 to 0.960 and RMSEP of 1.97–2.38 days. Moreover, the SIMCA and PLS-DA techniques were useful for cultures contamination monitoring. The constructed PLS-DA model properly discriminated 67% of cultures through the analysis of their growth media, i.e., environments, thus proving the potential of the E-tongue system for a real time monitoring of contamination in microalgal intensive cultivation.
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Affiliation(s)
- Saverio Savio
- Department of Biology, University of Rome “Tor Vergata”, 00133 Rome, Italy;
- PhD Program in Evolutionary Biology and Ecology, University of Rome “Tor Vergata”, 00133 Rome, Italy
| | - Corrado di Natale
- Department of Electronics Engineering, University of Rome “Tor Vergata”, 00133 Rome, Italy;
| | - Roberto Paolesse
- Department of Chemical Science and Technologies, University of Rome “Tor Vergata”, 00133 Rome, Italy;
| | - Larisa Lvova
- Department of Electronics Engineering, University of Rome “Tor Vergata”, 00133 Rome, Italy;
- Correspondence: (L.L.); (R.C.); Tel.: +39-06727594732 (L.L.); +39-0672595989 (R.C.)
| | - Roberta Congestri
- Department of Biology, University of Rome “Tor Vergata”, 00133 Rome, Italy;
- Correspondence: (L.L.); (R.C.); Tel.: +39-06727594732 (L.L.); +39-0672595989 (R.C.)
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13
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Borowik P, Adamowicz L, Tarakowski R, Wacławik P, Oszako T, Ślusarski S, Tkaczyk M. Application of a Low-Cost Electronic Nose for Differentiation between Pathogenic Oomycetes Pythium intermedium and Phytophthora plurivora. SENSORS (BASEL, SWITZERLAND) 2021; 21:1326. [PMID: 33668511 PMCID: PMC7918289 DOI: 10.3390/s21041326] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/07/2021] [Revised: 01/26/2021] [Accepted: 02/08/2021] [Indexed: 12/11/2022]
Abstract
Compared with traditional gas chromatography-mass spectrometry techniques, electronic noses are non-invasive and can be a rapid, cost-effective option for several applications. This paper presents comparative studies of differentiation between odors emitted by two forest pathogens: Pythium and Phytophthora, measured by a low-cost electronic nose. The electronic nose applies six non-specific Figaro Inc. metal oxide sensors. Various features describing shapes of the measurement curves of sensors' response to the odors' exposure were extracted and used for building the classification models. As a machine learning algorithm for classification, we use the Support Vector Machine (SVM) method and various measures to assess classification models' performance. Differentiation between Phytophthora and Pythium species has an important practical aspect allowing forest practitioners to take appropriate plant protection. We demonstrate the possibility to recognize and differentiate between the two mentioned species with acceptable accuracy by our low-cost electronic nose.
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Affiliation(s)
- Piotr Borowik
- Faculty of Physics, Warsaw University of Technology, ul. Koszykowa 75, 00-662 Warszawa, Poland; (P.B.); (R.T.); (P.W.)
| | - Leszek Adamowicz
- Faculty of Physics, Warsaw University of Technology, ul. Koszykowa 75, 00-662 Warszawa, Poland; (P.B.); (R.T.); (P.W.)
| | - Rafał Tarakowski
- Faculty of Physics, Warsaw University of Technology, ul. Koszykowa 75, 00-662 Warszawa, Poland; (P.B.); (R.T.); (P.W.)
| | - Przemysław Wacławik
- Faculty of Physics, Warsaw University of Technology, ul. Koszykowa 75, 00-662 Warszawa, Poland; (P.B.); (R.T.); (P.W.)
| | - Tomasz Oszako
- Forest Protection Department, Forest Research Institute, ul. Braci Leśnej 3, 05-090 Sękocin Stary, Poland; (T.O.); (S.Ś.); (M.T.)
| | - Sławomir Ślusarski
- Forest Protection Department, Forest Research Institute, ul. Braci Leśnej 3, 05-090 Sękocin Stary, Poland; (T.O.); (S.Ś.); (M.T.)
| | - Miłosz Tkaczyk
- Forest Protection Department, Forest Research Institute, ul. Braci Leśnej 3, 05-090 Sękocin Stary, Poland; (T.O.); (S.Ś.); (M.T.)
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