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Mattarozzi M, Laski E, Bertucci A, Giannetto M, Bianchi F, Zoani C, Careri M. Metrological traceability in process analytical technologies and point-of-need technologies for food safety and quality control: not a straightforward issue. Anal Bioanal Chem 2023; 415:119-135. [PMID: 36367573 PMCID: PMC9816273 DOI: 10.1007/s00216-022-04398-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2022] [Revised: 10/12/2022] [Accepted: 10/21/2022] [Indexed: 11/13/2022]
Abstract
Traditional techniques for food analysis are based on off-line laboratory methods that are expensive and time-consuming and often require qualified personnel. Despite the high standards of accuracy and metrological traceability, these well-established methods do not facilitate real-time process monitoring and timely on-site decision-making as required for food safety and quality control. The future of food testing includes rapid, cost-effective, portable, and simple methods for both qualitative screening and quantification of food contaminants, as well as continuous, real-time measurement in production lines. Process automatization through process analytical technologies (PAT) is an increasing trend in the food industry as a way to achieve improved product quality, safety, and consistency, reduced production cycle times, minimal product waste or reworks, and the possibility for real-time product release. Novel methods of analysis for point-of-need (PON) screening could greatly improve food testing by allowing non-experts, such as consumers, to test in situ food products using portable instruments, smartphones, or even visual naked-eye inspections, or farmers and small producers to monitor products in the field. This requires the attention of the research community and devices manufacturers to ensure reliability of measurement results from PAT strategy and PON tests through the demonstration and critical evaluation of performance characteristics. The fitness for purpose of methods in real-life conditions is a priority that should not be overlooked in order to maintain an effective and harmonized food safety policy.
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Affiliation(s)
- Monica Mattarozzi
- Department of Chemistry, Life Sciences and Environmental Sustainability, University of Parma, Parco Area Delle Scienze 17/A, 43124, Parma, Italy
- Interdepartmental Centre SITEIA.PARMA, University of Parma, Technopole Pad 33 Parco Area Delle Scienze, 43124, Parma, Italy
| | - Eleni Laski
- Department of Chemistry, Life Sciences and Environmental Sustainability, University of Parma, Parco Area Delle Scienze 17/A, 43124, Parma, Italy
| | - Alessandro Bertucci
- Department of Chemistry, Life Sciences and Environmental Sustainability, University of Parma, Parco Area Delle Scienze 17/A, 43124, Parma, Italy
| | - Marco Giannetto
- Department of Chemistry, Life Sciences and Environmental Sustainability, University of Parma, Parco Area Delle Scienze 17/A, 43124, Parma, Italy
- Interdepartmental Centre SITEIA.PARMA, University of Parma, Technopole Pad 33 Parco Area Delle Scienze, 43124, Parma, Italy
| | - Federica Bianchi
- Department of Chemistry, Life Sciences and Environmental Sustainability, University of Parma, Parco Area Delle Scienze 17/A, 43124, Parma, Italy
- Interdepartmental Centre CIPACK, University of Parma, Technopole Pad 33 Parco Area Delle Scienze, 43124, Parma, Italy
| | - Claudia Zoani
- Department for Sustainability, Biotechnology and Agroindustry Division (SSPT-BIOAG), Casaccia Research Centre, Italian National Agency for New Technologies, Energy and Sustainable Economic Development (ENEA), Via Anguillarese 301, 00123, Rome, Italy
| | - Maria Careri
- Department of Chemistry, Life Sciences and Environmental Sustainability, University of Parma, Parco Area Delle Scienze 17/A, 43124, Parma, Italy.
- Interdepartmental Centre SITEIA.PARMA, University of Parma, Technopole Pad 33 Parco Area Delle Scienze, 43124, Parma, Italy.
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Costa JR, Pereira DA, de Paula IL, de Abreu LR, Pinto SM, Edwards HG, Stephani R, de Oliveira LF. The taste of a champion: Characterization of artisanal cheeses from the Minas Gerais region (Brazil) by Raman spectroscopy and microstructural analysis. J Food Compost Anal 2022. [DOI: 10.1016/j.jfca.2022.104704] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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Bittante G, Patel N, Cecchinato A, Berzaghi P. Invited review: A comprehensive review of visible and near-infrared spectroscopy for predicting the chemical composition of cheese. J Dairy Sci 2022; 105:1817-1836. [PMID: 34998561 DOI: 10.3168/jds.2021-20640] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2021] [Accepted: 09/26/2021] [Indexed: 11/19/2022]
Abstract
Substantial research has been carried out on rapid, nondestructive, and inexpensive techniques for predicting cheese composition using spectroscopy in the visible and near-infrared radiation range. Moreover, in recent years, new portable and handheld spectrometers have been used to predict chemical composition from spectra captured directly on the cheese surface in dairies, storage facilities, and food plants, removing the need to collect, transport, and process cheese samples. For this review, we selected 71 papers (mainly dealing with prediction of the chemical composition of cheese) and summarized their results, focusing our attention on the major sources of variation in prediction accuracy related to cheese variability, spectrometer and spectra characteristics, and chemometrics techniques. The average coefficient of determination obtained from the validation samples ranged from 86 to 90% for predicting the moisture, fat, and protein contents of cheese, but was lower for predicting NaCl content and cheese pH (79 and 56%, respectively). There was wide variability with respect to all traits in the results of the various studies (standard deviation: 9-30%). This review draws attention to the need for more robust equations for predicting cheese composition in different situations; the calibration data set should consist of representative cheese samples to avoid bias due to an overly specific field of application and ensure the results are not biased for a particular category of cheese. Different spectrometers have different accuracies, which do not seem to depend on the spectrum extension. Furthermore, specific areas of the spectrum-the visible, infrared-A, or infrared-B range-may yield similar results to broad-range spectra; this is because several signals related to cheese composition are distributed along the spectrum. Small, portable instruments have been shown to be viable alternatives to large bench-top instruments. Last, chemometrics (spectra pre-treatment and prediction models) play an important role, especially with regard to difficult-to-predict traits. A proper, fully independent, validation strategy is essential to avoid overoptimistic results.
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Affiliation(s)
- Giovanni Bittante
- Department of Agronomy, Food, Natural resources, Animals and Environment (DAFNAE) University of Padova (Padua), 35020 Legnaro, Italy
| | - Nageshvar Patel
- Department of Agronomy, Food, Natural resources, Animals and Environment (DAFNAE) University of Padova (Padua), 35020 Legnaro, Italy
| | - Alessio Cecchinato
- Department of Agronomy, Food, Natural resources, Animals and Environment (DAFNAE) University of Padova (Padua), 35020 Legnaro, Italy.
| | - Paolo Berzaghi
- Department of Animal Medicine, Production and Health (MAPS), University of Padova (Padua), 35020 Legnaro, Italy
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Grassi S, Strani L, Alamprese C, Pricca N, Casiraghi E, Cabassi G. A FT-NIR Process Analytical Technology Approach for Milk Renneting Control. Foods 2021; 11:foods11010033. [PMID: 35010158 PMCID: PMC8750718 DOI: 10.3390/foods11010033] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2021] [Revised: 12/14/2021] [Accepted: 12/20/2021] [Indexed: 01/24/2023] Open
Abstract
The study proposes a process analytical technology (PAT) approach for the control of milk coagulation through near infrared spectroscopy (NIRS), computing multivariate statistical process control (MSPC) charts, based on principal component analysis (PCA). Reconstituted skimmed milk and commercial pasteurized skimmed milk were mixed at two different ratios (60:40 and 40:60). Each mix ratio was prepared in six replicates and used for coagulation trials, monitored by fundamental rheology, as a reference method, and NIRS by inserting a probe directly in the coagulation vat and collecting spectra at two different acquisition times, i.e., 60 s or 10 s. Furthermore, three failure coagulation trials were performed, deliberately changing temperature or rennet and CaCl2 concentration. The comparison with fundamental rheology results confirmed the effectiveness of NIRS to monitor milk renneting. The reduced spectral acquisition time (10 s) showed data highly correlated (r > 0.99) to those acquired with longer acquisition time. The developed decision trees, based on PC1 scores and T2 MSPC charts, confirmed the suitability of the proposed approach for the prediction of coagulation times and for the detection of possible failures. In conclusion, the work provides a robust but simple PAT approach to assist cheesemakers in monitoring the coagulation step in real-time.
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Affiliation(s)
- Silvia Grassi
- Department of Food, Environmental and Nutritional Sciences, Università degli Studi di Milano, Via Giovanni Celoria 2, 20133 Milan, Italy; (S.G.); (L.S.); (E.C.)
| | - Lorenzo Strani
- Department of Food, Environmental and Nutritional Sciences, Università degli Studi di Milano, Via Giovanni Celoria 2, 20133 Milan, Italy; (S.G.); (L.S.); (E.C.)
- Department of Chemical and Geological Sciences, University of Modena and Reggio Emilia, Via Campi 103, 41125 Modena, Italy
| | - Cristina Alamprese
- Department of Food, Environmental and Nutritional Sciences, Università degli Studi di Milano, Via Giovanni Celoria 2, 20133 Milan, Italy; (S.G.); (L.S.); (E.C.)
- Correspondence: ; Tel.: +39-0250319187
| | - Nicolò Pricca
- Centro di ricerca Zootecnia e Acquacoltura (CREA-ZA), Consiglio per la Ricerca in Agricoltura e l’Analisi dell’Economia Agraria, Via Antonio Lombardo 11, 26900 Lodi, Italy; (N.P.); (G.C.)
| | - Ernestina Casiraghi
- Department of Food, Environmental and Nutritional Sciences, Università degli Studi di Milano, Via Giovanni Celoria 2, 20133 Milan, Italy; (S.G.); (L.S.); (E.C.)
| | - Giovanni Cabassi
- Centro di ricerca Zootecnia e Acquacoltura (CREA-ZA), Consiglio per la Ricerca in Agricoltura e l’Analisi dell’Economia Agraria, Via Antonio Lombardo 11, 26900 Lodi, Italy; (N.P.); (G.C.)
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5
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Investigation of weight loss in mozzarella cheese using NIR predicted chemical composition and multivariate analysis. J Food Compost Anal 2021. [DOI: 10.1016/j.jfca.2021.104002] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
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Zheng X, Shi X, Wang B. A Review on the General Cheese Processing Technology, Flavor Biochemical Pathways and the Influence of Yeasts in Cheese. Front Microbiol 2021; 12:703284. [PMID: 34394049 PMCID: PMC8358398 DOI: 10.3389/fmicb.2021.703284] [Citation(s) in RCA: 36] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2021] [Accepted: 07/12/2021] [Indexed: 12/05/2022] Open
Abstract
Cheese has a long history and this naturally fermented dairy product contains a range of distinctive flavors. Microorganisms in variety cheeses are an essential component and play important roles during both cheese production and ripening. However, cheeses from different countries are still handmade, the processing technology is diverse, the microbial community structure is complex and the cheese flavor fluctuates greatly. Therefore, studying the general processing technology and relationship between microbial structure and flavor formation in cheese is the key to solving the unstable quality and standardized production of cheese flavor on basis of maintaining the flavor of cheese. This paper reviews the research progress on the general processing technology and key control points of natural cheese, the biochemical pathways for production of flavor compounds in cheeses, the diversity and the role of yeasts in cheese. Combined with the development of modern detection technology, the evolution of microbial structure, population evolution and flavor correlation in cheese from different countries was analyzed, which is of great significance for the search for core functional yeast microorganisms and the industrialization prospect of traditional fermented cheese.
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Affiliation(s)
| | - Xuewei Shi
- Food College, Shihezi University, Shihezi, China
| | - Bin Wang
- Food College, Shihezi University, Shihezi, China
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7
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Enhancing Micronutrients Bioavailability through Fermentation of Plant-Based Foods: A Concise Review. FERMENTATION-BASEL 2021. [DOI: 10.3390/fermentation7020063] [Citation(s) in RCA: 34] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Plant-based foods are rich sources of vitamins and essential micronutrients. For the proper functioning of the human body and their crucial role, trace minerals (iron, zinc, magnesium, manganese, etc.) are required in appropriate amounts. Cereals and pulses are the chief sources of these trace minerals. Despite these minerals, adequate consumption of plant foods cannot fulfill the human body’s total nutrient requirement. Plant foods also contain ample amounts of anti-nutritional factors such as phytate, tannins, phenols, oxalates, etc. These factors can compromise the bioavailability of several essential micronutrients in plant foods. However, literature reports show that fermentation and related processing methods can improve nutrient and mineral bioavailability of plant foods. In this review, studies related to fermentation methods that can be used to improve micronutrient bioavailability in plant foods are discussed.
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8
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Review of near-infrared spectroscopy as a process analytical technology for real-time product monitoring in dairy processing. Int Dairy J 2020. [DOI: 10.1016/j.idairyj.2019.104623] [Citation(s) in RCA: 30] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
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9
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Shokoufi N, Vosough M, Rahimzadegan-Asl M, Abbasi-Ahd A, Khatibeghdami M. Fiberoptic-Coupled Spectrofluorometer with Array Detection as a Process Analytical Chemistry Tool for Continuous Flow Monitoring of Fluoroquinolone Antibiotics. Int J Anal Chem 2020; 2020:2921417. [PMID: 32089690 PMCID: PMC7029292 DOI: 10.1155/2020/2921417] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2019] [Revised: 11/28/2019] [Accepted: 01/08/2020] [Indexed: 11/17/2022] Open
Abstract
Nowadays, there is an increasing need for sensitive real-time measurements of various analytes and monitoring of industrial products and environmental processes. Herein, we describe a fluorescence spectrometer in continuous flow mode in which the sample is fed to the flow cell using a peristaltic pump. The excitation beam is introduced to the sample chamber by an optical fiber. The fluorescence emitted upon excitation is collected at the right angle using another optical fiber and then transmitted to the fluorescence spectrometer which utilizes an array detector. The array detection, as a key factor in process analytical chemistry, made the fluorescence spectrometer suited for multiwavelength detection of the fluorescence spectrum of the analytes. After optimization of the experimental parameters, the system has been successfully employed for sensitive determination of four fluoroquinolone antibiotics such as ciprofloxacin, ofloxacin, levofloxacin, and moxifloxacin. The linear dynamic ranges of four fluoroquinolones were between 0.25 and 20 μg·mL-1, and the detection limit of the method for ciprofloxacin, ofloxacin, levofloxacin, and moxifloxacin were 81, 36, 35, and 93 ng·mL-1, respectively. Finally, the proposed system is carried out for determination of fluoroquinolones in some pharmaceutical formulations.
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Affiliation(s)
- Nader Shokoufi
- Analytical Instrumentation and Spectroscopy Laboratory, Department of Green Technologies, Chemistry & Chemical Engineering Research Center of Iran, Tehran 14968-13151, Iran
| | - Maryam Vosough
- Analytical Instrumentation and Spectroscopy Laboratory, Department of Green Technologies, Chemistry & Chemical Engineering Research Center of Iran, Tehran 14968-13151, Iran
| | - Mona Rahimzadegan-Asl
- Analytical Instrumentation and Spectroscopy Laboratory, Department of Green Technologies, Chemistry & Chemical Engineering Research Center of Iran, Tehran 14968-13151, Iran
| | - Atefeh Abbasi-Ahd
- Analytical Instrumentation and Spectroscopy Laboratory, Department of Green Technologies, Chemistry & Chemical Engineering Research Center of Iran, Tehran 14968-13151, Iran
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Shiferaw Terefe N, Augustin MA. Fermentation for tailoring the technological and health related functionality of food products. Crit Rev Food Sci Nutr 2019; 60:2887-2913. [PMID: 31583891 DOI: 10.1080/10408398.2019.1666250] [Citation(s) in RCA: 57] [Impact Index Per Article: 11.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
Fermented foods are experiencing a resurgence due to the consumers' growing interest in foods that are natural and health promoting. Microbial fermentation is a biotechnological process which transforms food raw materials into palatable, nutritious and healthy food products. Fermentation imparts unique aroma, flavor and texture to food, improves digestibility, degrades anti-nutritional factors, toxins and allergens, converts phytochemicals such as polyphenols into more bioactive and bioavailable forms, and enriches the nutritional quality of food. Fermentation also modifies the physical functional properties of food materials, rendering them differentiated ingredients for use in formulated foods. The science of fermentation and the technological and health functionality of fermented foods is reviewed considering the growing interest worldwide in fermented foods and beverages and the huge potential of the technology for reducing food loss and improving nutritional food security.
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11
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Grassi S, Strani L, Casiraghi E, Alamprese C. Control and Monitoring of Milk Renneting Using FT-NIR Spectroscopy as a Process Analytical Technology Tool. Foods 2019; 8:foods8090405. [PMID: 31547293 PMCID: PMC6770950 DOI: 10.3390/foods8090405] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2019] [Revised: 09/07/2019] [Accepted: 09/09/2019] [Indexed: 11/16/2022] Open
Abstract
Failures in milk coagulation during cheese manufacturing can lead to decreased yield, anomalous behaviour of cheese during storage, significant impact on cheese quality and process wastes. This study proposes a Process Analytical Technology approach based on FT-NIR spectroscopy for milk renneting control during cheese manufacturing. Multivariate Curve Resolution optimized by Alternating Least Squares (MCR-ALS) was used for data analysis and development of Multivariate Statistical Process Control (MSPC) charts. Fifteen renneting batches were set up varying temperature (30, 35, 40 °C), milk pH (6.3, 6.5, 6.7), and fat content (0.1, 2.55, 5 g/100 mL). Three failure batches were also considered. The MCR-ALS models well described the coagulation processes (explained variance ≥99.93%; lack of fit <0.63%; standard deviation of the residuals <0.0067). The three identified MCR-ALS profiles described the main renneting phases. Different shapes and timing of concentration profiles were related to changes in temperature, milk pH, and fat content. The innovative implementation of MSPC charts based on T2 and Q statistics allowed the detection of coagulation failures from the initial phases of the process.
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Affiliation(s)
- Silvia Grassi
- Department of Food, Environmental, and Nutritional Sciences, Università degli Studi di Milano, via G. Celoria 2, 20133 Milan, Italy.
| | - Lorenzo Strani
- Department of Food, Environmental, and Nutritional Sciences, Università degli Studi di Milano, via G. Celoria 2, 20133 Milan, Italy
| | - Ernestina Casiraghi
- Department of Food, Environmental, and Nutritional Sciences, Università degli Studi di Milano, via G. Celoria 2, 20133 Milan, Italy
| | - Cristina Alamprese
- Department of Food, Environmental, and Nutritional Sciences, Università degli Studi di Milano, via G. Celoria 2, 20133 Milan, Italy
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12
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Panthi RR, Kelly AL, O'Callaghan DJ, Sheehan JJ. Measurement of syneretic properties of rennet-induced curds and impact of factors such as concentration of milk: A review. Trends Food Sci Technol 2019. [DOI: 10.1016/j.tifs.2019.07.023] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
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13
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Panikuttira B, Payne FA, O'Shea N, Tobin JT, O'Callaghan DJ, O'Donnell CP. Investigation of an in‐line prototype fluorescence and infrared backscatter sensor to monitor rennet‐induced coagulation of skim milk at different protein concentrations. Int J Food Sci Technol 2019. [DOI: 10.1111/ijfs.14267] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Affiliation(s)
- Bhavya Panikuttira
- School of Biosystems and Food Engineering University College Dublin Belfield, D4 Dublin Ireland
- Food Chemistry and Technology Department Teagasc Food Research Centre Moorepark Fermoy, Cork Ireland
| | - Fred A. Payne
- Biosystems and Agricultural Engineering Department University of Kentucky Lexington KY40546Kentucky
| | - Norah O'Shea
- Food Chemistry and Technology Department Teagasc Food Research Centre Moorepark Fermoy, Cork Ireland
| | - John T. Tobin
- Food Chemistry and Technology Department Teagasc Food Research Centre Moorepark Fermoy, Cork Ireland
| | - Donal J. O'Callaghan
- Food Chemistry and Technology Department Teagasc Food Research Centre Moorepark Fermoy, Cork Ireland
| | - Colm P. O'Donnell
- School of Biosystems and Food Engineering University College Dublin Belfield, D4 Dublin Ireland
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14
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Developments of nondestructive techniques for evaluating quality attributes of cheeses: A review. Trends Food Sci Technol 2019. [DOI: 10.1016/j.tifs.2019.04.013] [Citation(s) in RCA: 37] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
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15
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Panikuttira B, Payne FA, O'Shea N, Tobin JT, O'Donnell CP. Evaluation of a fluorescence and infrared backscatter sensor to monitor acid induced coagulation of skim milk. INNOV FOOD SCI EMERG 2019. [DOI: 10.1016/j.ifset.2019.04.011] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
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16
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Bista A, Hogan SA, O'Donnell CP, Tobin JT, O'Shea N. Evaluation and validation of an inline Coriolis flowmeter to measure dynamic viscosity during laboratory and pilot-scale food processing. INNOV FOOD SCI EMERG 2019. [DOI: 10.1016/j.ifset.2019.05.004] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
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