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Abi-Rizk H, Jouan-Rimbaud Bouveresse D, Chamberland J, Cordella CBY. Chemometrics-driven monitoring of cheese ripening: a multimodal spectroscopic and scanning electron microscopy investigation. ANALYTICAL METHODS : ADVANCING METHODS AND APPLICATIONS 2024; 16:3732-3744. [PMID: 38808623 DOI: 10.1039/d4ay00609g] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/30/2024]
Abstract
The integration of spectroscopic techniques with chemometrics offers a means to monitor quality changes in dairy products throughout processing and storage. This study employed Attenuated Total Reflectance-Mid-Infrared Spectroscopy (ATR-MIR) coupled with Independent Components Analysis (ICA), and 3D Front-Face Fluorescence Spectroscopy (FFFS) paired with Common Components and Specific Weight Analysis (CCSWA). The research focused on Cheddar cheeses aged for 1, 2, 3, and 5 years, alongside Comté cheeses aged for 6, 9, and 12 months. The adopted approach offered valuable insights into the intricate cheese aging process within the food matrix. The ICA proportions and CCSWA scores highlighted the significant impact of biochemical transformations during maturation on the aging process. The extracted independent components (ICs) revealed variations in the vibration modes of amides, lipids, amino acids, and organic acids, facilitating the distinction between different cheese age categories. Additionally, CCSWA outcomes identified age-related differences through shifts in tryptophan fluorescence characteristics as the cheeses aged. These results were consistent with the observed alterations in the microstructure of cheese samples over time, corroborated by Scanning Electron Microscopy (SEM) imagery. The introduced multimodal methodology serves as a significant asset for determining the ripening stage of various types of cheese, offering a detailed perspective of cheese maturation beneficial to the dairy industry and researchers.
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Affiliation(s)
- Hala Abi-Rizk
- LAboratoire de Recherche et de Traitement de l'Information Chimiosensorielle - LARTIC, 2425 Rue de l'agriculture, Québec, QC G1V 0A6, Canada.
- Institute of Nutrition and Functional Foods (INAF), Québec, QC G1V 0A6, Canada
| | | | - Julien Chamberland
- Institute of Nutrition and Functional Foods (INAF), Québec, QC G1V 0A6, Canada
- Department of Food Sciences, STELA Dairy Research Center, Université Laval, Québec, QC, G1V 0A6, Canada
| | - Christophe B Y Cordella
- LAboratoire de Recherche et de Traitement de l'Information Chimiosensorielle - LARTIC, 2425 Rue de l'agriculture, Québec, QC G1V 0A6, Canada.
- Institute of Nutrition and Functional Foods (INAF), Québec, QC G1V 0A6, Canada
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Yaman H, Aykas DP, Rodriguez-Saona LE. Monitoring Turkish white cheese ripening by portable FT-IR spectroscopy. Front Nutr 2023; 10:1107491. [PMID: 36814504 PMCID: PMC9940898 DOI: 10.3389/fnut.2023.1107491] [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: 11/25/2022] [Accepted: 01/17/2023] [Indexed: 02/08/2023] Open
Abstract
The biochemical metabolism during cheese ripening plays an active role in producing amino acids, organic acids, and fatty acids. Our objective was to evaluate the unique fingerprint-like infrared spectra of the soluble fractions in different solvents (water-based, methanol, and ethanol) of Turkish white cheese for rapid monitoring of cheese composition during ripening. Turkish white cheese samples were produced in a pilot plant scale using a mesophilic culture (Lactococcus lactis subsp. lactis, Lactococcus lactis subsp. cremoris), ripened for 100 days and samples were collected at 20-day intervals for analysis. Three extraction solvents (water, methanol, and ethanol) were selected to obtain soluble cheese fractions. Reference methods included gas chromatography (amino acids and fatty acid profiles), and liquid chromatography (organic acids) were used to obtain the reference results. FT-IR spectra were correlated with chromatographic data using pattern recognition analysis to develop regression and classification predictive models. All models showed a good fit (RPre ≥ 0.91) for predicting the target compounds during cheese ripening. Individual free fatty acids were predicted better in ethanol extracts (0.99 ≥ RPre ≥ 0.93, 1.95 ≥ SEP ≥ 0.38), while organic acids (0.98 ≥ RPre ≥ 0.97, 10.51 ≥ SEP ≥ 0.57) and total free amino acids (RPre = 0.99, SEP = 0.0037) were predicted better by using water-based extracts. Moreover, cheese compounds extracted with methanol provided the best SIMCA classification results in discriminating the different stages of cheese ripening. By using a simple methanolic extraction and collecting spectra with a portable FT-IR device provided a fast, simple, and cost-effective technique to monitor the ripening of white cheese and predict the levels of key compounds that play an important role in the biochemical metabolism of Turkish white cheese.
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Affiliation(s)
- Hulya Yaman
- Department of Food Science and Technology, The Ohio State University, Columbus, OH, United States,Department of Food Processing, Bolu Abant Izzet Baysal University, Bolu, Türkiye
| | - Didem P. Aykas
- Department of Food Science and Technology, The Ohio State University, Columbus, OH, United States,Department of Food Engineering, Adnan Menderes University, Aydin, Türkiye
| | - Luis E. Rodriguez-Saona
- Department of Food Science and Technology, The Ohio State University, Columbus, OH, United States,*Correspondence: Luis E. Rodriguez-Saona,
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FT-MIR Analysis of Water-Soluble Extracts during the Ripening of Sheep Milk Cheese with Different Phospholipid Content. DAIRY 2021. [DOI: 10.3390/dairy2040042] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
The purpose of this work was to study the suitability of the water-soluble extracts (WSE) of semi-hard sheep milk cheese for analysis by diffuse reflectance Fourier transform mid-infrared spectroscopy (FT-MIR) and the development of classification models using discriminant analysis and based on cheese age or phospholipid content. WSE was extracted from three types of sheep milk cheeses (full-fat, reduced-fat and reduced-fat fortified with lyophilized sweet sheep buttermilk) at various stages of ripening from six to 168 days and lyophilized. The first model used 1854–1381 and 1192–760 cm−1 regions of the first-derivative spectra and successfully differentiated samples of different age, based on changes in the water-soluble products of ripening biochemical events. The second model used the phospholipid absorbance spectral regions (3012–2851, 1854–1611 and 1192–909 cm−1) to successfully discriminate cheeses of markedly different phospholipid content. Cheese WSE was found suitable for FT-MIR analysis. According to the results, a fast and simple method to monitor cheese ripening based on water-soluble substances has been developed. Additionally, the results indicated that a considerable amount of phospholipids migrates to the cheese WSE and that FT-MIR can be a useful tool for their assessment.
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Li FL, Xie J, Wang S, Wang Y, Xu CH. Direct qualitative and quantitative determination methodology for massive screening of DON in wheat flour based on multi-molecular infrared spectroscopy (MM-IR) with 2T-2DCOS. Talanta 2021; 234:122653. [PMID: 34364462 DOI: 10.1016/j.talanta.2021.122653] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2021] [Revised: 06/21/2021] [Accepted: 06/22/2021] [Indexed: 12/20/2022]
Abstract
Deoxynivalenol (DON) contamination in wheat flour induces a number of adverse health effects to consumers and livestock, even at very low concentrations. Direct detection methods for massive screening of DON in wheat flour is still lacking. A new methodology integrating multi-molecular infrared spectroscopy (MM-IR) with two-trace two-dimensional correlation spectroscopy (2T-2DCOS) was developed for in-situ qualitative and quantitative determination of DON in wheat flour as a whole. Typical spectral variation of wheat flour samples with diverse concentration of DON were stepwise characterized by MM-IR and tiny spectral profile differences resulting from concentration variation of DON were visually disclosed by 2T-2DCOS. Based on the obtained key spectral features of DON, 180 of wheat flour samples with DON higher and lower than 1.00 mg/kg were undoubtedly classified by Principal Component Analysis (PCA) and Support Vector Machines (SVM) with an accuracy rate up to 100% (for Second derivative spectra consisted of selected bands, SD-SS). Furthermore, a robust quantitative prediction model was established based on partial least squares (PLS) of SD-SS (Rc: 0.998, RMSEC: 0.135; Rp: 0.968, RMSEP: 0.421), and its excellent predictive capacity of model was validated by both residual prediction deviation (RPD) value of 3.2 and t-test. It was demonstrated that the developed methodology was applicable for screening and quantitative detection of DON in wheat flour based on the novel correlation analysis methods (SD-2DCOS-IR and 2T-2DCOS-IR) with chemometrics tools, which could be utilized both at laboratory and industrial level for quality control purposes of a large wheat flour sample set.
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Affiliation(s)
- Fei-Li Li
- College of Food Science & Technology, Shanghai Ocean University, Shanghai, 201306, China; Shanghai Qinpu Biotechnology Pte Ltd, Shanghai, 201306, China
| | - Jun Xie
- College of Food Science & Technology, Shanghai Ocean University, Shanghai, 201306, China; Shanghai Qinpu Biotechnology Pte Ltd, Shanghai, 201306, China
| | - Song Wang
- College of Food Science & Technology, Shanghai Ocean University, Shanghai, 201306, China; Shanghai Qinpu Biotechnology Pte Ltd, Shanghai, 201306, China
| | - Yang Wang
- First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin, 300112, China
| | - Chang-Hua Xu
- College of Food Science & Technology, Shanghai Ocean University, Shanghai, 201306, China; Shanghai Engineering Research Center of Aquatic-Product Processing & Preservation, Shanghai, 201306, China; Laboratory of Quality and Safety Risk Assessment for Aquatic Products on Storage and Preservation (Shanghai), Ministry of Agriculture, Shanghai, 201306, China; National R&D Branch Center for Freshwater Aquatic Products Processing Technology (Shanghai), Shanghai, 201306, China.
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Baghdadi F, Aminifar M, farhoodi M, Shojaee Ali Abadi S. Study of macromolecular interactions in low-fat brined cheese modified with Zedu gum. INT J DAIRY TECHNOL 2017. [DOI: 10.1111/1471-0307.12476] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Affiliation(s)
- Fatemeh Baghdadi
- Department of Food Science and Technology; National Nutrition and Food Technology Research Institute; Faculty of Nutrition and Food Technology; Shahid Beheshti University of Medical Sciences; 7, West Arghavan St., Farahzadi Blvd. P.O. Box 19395- 4741 Tehran Iran
| | - Mehrnaz Aminifar
- Department of Food Science and Technology; Faculty of Food Industry and Agriculture; Standard Research Institute (SRI); P.O. Box 31745-139 Karaj Iran
| | - Mehdi farhoodi
- Department of Food Science and Technology; National Nutrition and Food Technology Research Institute; Faculty of Nutrition and Food Technology; Shahid Beheshti University of Medical Sciences; 7, West Arghavan St., Farahzadi Blvd. P.O. Box 19395- 4741 Tehran Iran
| | - Saeedeh Shojaee Ali Abadi
- Department of Food Science and Technology; National Nutrition and Food Technology Research Institute; Faculty of Nutrition and Food Technology; Shahid Beheshti University of Medical Sciences; 7, West Arghavan St., Farahzadi Blvd. P.O. Box 19395- 4741 Tehran Iran
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Hartmann KI, Reicherter R, Hinrichs J. Influence of manufacturing conditions on thermo-physical properties of ripened experimental Emmental-type cheese and comparison with commercial Emmental cheese. INT J DAIRY TECHNOL 2016. [DOI: 10.1111/1471-0307.12343] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Affiliation(s)
- Katja Isabel Hartmann
- Department of Soft Matter Science and Dairy Technology; University of Hohenheim; Garbenstr. 21 D-70599 Stuttgart Germany
| | - Ronny Reicherter
- Department of Soft Matter Science and Dairy Technology; University of Hohenheim; Garbenstr. 21 D-70599 Stuttgart Germany
| | - Jörg Hinrichs
- Department of Soft Matter Science and Dairy Technology; University of Hohenheim; Garbenstr. 21 D-70599 Stuttgart Germany
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Hartmann K, Samudrala R, Hofmann T, Schieberle P, Hitzmann B, Hinrichs J. Thermo-physical parameters applied for instrumental profiling and statistical evaluation of German Emmental cheese. Int Dairy J 2015. [DOI: 10.1016/j.idairyj.2015.05.004] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
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Karoui R, Hammami M, Rouissi H, Blecker C. Mid infrared and fluorescence spectroscopies coupled with factorial discriminant analysis technique to identify sheep milk from different feeding systems. Food Chem 2011; 127:743-8. [DOI: 10.1016/j.foodchem.2010.12.135] [Citation(s) in RCA: 38] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2010] [Revised: 12/01/2010] [Accepted: 12/31/2010] [Indexed: 11/28/2022]
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Monitoring amino acids, organic acids, and ripening changes in Cheddar cheese using Fourier-transform infrared spectroscopy. Int Dairy J 2011. [DOI: 10.1016/j.idairyj.2010.12.012] [Citation(s) in RCA: 37] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
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Subramanian A, Rodriguez-Saona L. Chemical and instrumental approaches to cheese analysis. ADVANCES IN FOOD AND NUTRITION RESEARCH 2010; 59:167-213. [PMID: 20610176 DOI: 10.1016/s1043-4526(10)59005-3] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/29/2023]
Abstract
Overcoming the complexity of cheese matrix to reliably analyze cheese composition, flavor, and ripening changes has been a challenge. Several sample isolation or fractionation methods, chemical and enzymatic assays, and instrumental methods have been developed over the decades. While some of the methods are well established standard methods, some still need to be researched and improved. This chapter reviews the chemical and instrumental methods available to determine cheese composition and monitor biochemical events (e.g., glycolysis, lipolysis, and proteolysis) during cheese ripening that lead to the formation of cheese flavor. Chemical and enzymatic methods available for analysis of cheese composition (fat, protein, lactose, salt, nitrogen content, moisture, etc.) are presented. Electrophoretic, chromatographic, and spectroscopic techniques are also reviewed in the light of their application to monitor cheese ripening and flavor compounds. Novel instrumental methods based on Fourier-transform infrared spectroscopy that are currently being researched and applied to cheese analysis are introduced.
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Affiliation(s)
- Anand Subramanian
- Department of Food Science and Technology, The Ohio State University, Columbus, Ohio, USA
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