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Park Y, Noda I, Jung YM. Novel Developments and Progress in Two-Dimensional Correlation Spectroscopy (2D-COS). APPLIED SPECTROSCOPY 2024:37028241255393. [PMID: 38872353 DOI: 10.1177/00037028241255393] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/15/2024]
Abstract
This first of the two-part series of the comprehensive survey review on the progress of the two-dimensional correlation spectroscopy (2D-COS) field during the period 2021-2022, covers books, reviews, tutorials, novel concepts and theories, and patent applications that appeared in the last two years, as well as some inappropriate use or citations of 2D-COS. The overall trend clearly shows that 2D-COS is continually growing and evolving with notable new developments. The technique is well recognized as a powerful analytical tool that provides deep insights into systems in many science fields.
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Affiliation(s)
- Yeonju Park
- Department of Chemistry, Institute for Molecular Science and Fusion Technology, and Kangwon Radiation Convergence Research Support Center, Kangwon National University, Chuncheon, Korea
| | - Isao Noda
- Department of Materials Science and Engineering, University of Delaware, Newark, Delaware, USA
| | - Young Mee Jung
- Department of Chemistry, Institute for Molecular Science and Fusion Technology, and Kangwon Radiation Convergence Research Support Center, Kangwon National University, Chuncheon, Korea
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2
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Park Y, Noda I, Jung YM. Diverse Applications of Two-Dimensional Correlation Spectroscopy (2D-COS). APPLIED SPECTROSCOPY 2024:37028241256397. [PMID: 38835153 DOI: 10.1177/00037028241256397] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/06/2024]
Abstract
This second of the two-part series of a comprehensive survey review provides the diverse applications of two-dimensional correlation spectroscopy (2D-COS) covering different probes, perturbations, and systems in the last two years. Infrared spectroscopy has maintained its top popularity in 2D-COS over the past two years. Fluorescence spectroscopy is the second most frequently used analytical method, which has been heavily applied to the analysis of heavy metal binding, environmental, and solution systems. Various other analytical methods including laser-induced breakdown spectroscopy, dynamic mechanical analysis, differential scanning calorimetry, capillary electrophoresis, seismologic, and so on, have also been reported. In the last two years, concentration, composition, and pH are the main effects of perturbation used in the 2D-COS fields, as well as temperature. Environmental science is especially heavily studied using 2D-COS. This comprehensive survey review shows that 2D-COS undergoes continuous evolution and growth, marked by novel developments and successful applications across diverse scientific fields.
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Affiliation(s)
- Yeonju Park
- Department of Chemistry, Institute for Molecular Science and Fusion Technology, and Kangwon Radiation Convergence Research Support Center, Kangwon National University, Chuncheon, Korea
| | - Isao Noda
- Department of Materials Science and Engineering, University of Delaware, Newark, Delaware, USA
| | - Young Mee Jung
- Department of Chemistry, Institute for Molecular Science and Fusion Technology, and Kangwon Radiation Convergence Research Support Center, Kangwon National University, Chuncheon, Korea
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3
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Fomina P, Femenias A, Tafintseva V, Freitag S, Sulyok M, Aledda M, Kohler A, Krska R, Mizaikoff B. Prediction of Deoxynivalenol Contamination in Wheat via Infrared Attenuated Total Reflection Spectroscopy and Multivariate Data Analysis. ACS FOOD SCIENCE & TECHNOLOGY 2024; 4:895-904. [PMID: 38660051 PMCID: PMC11037394 DOI: 10.1021/acsfoodscitech.3c00674] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/11/2023] [Revised: 03/05/2024] [Accepted: 03/06/2024] [Indexed: 04/26/2024]
Abstract
The climate crisis further exacerbates the challenges for food production. For instance, the increasingly unpredictable growth of fungal species in the field can lead to an unprecedented high prevalence of several mycotoxins, including the most important toxic secondary metabolite produced by Fusarium spp., i.e., deoxynivalenol (DON). The presence of DON in crops may cause health problems in the population and livestock. Hence, there is a demand for advanced strategies facilitating the detection of DON contamination in cereal-based products. To address this need, we introduce infrared attenuated total reflection (IR-ATR) spectroscopy combined with advanced data modeling routines and optimized sample preparation protocols. In this study, we address the limited exploration of wheat commodities to date via IR-ATR spectroscopy. The focus of this study was optimizing the extraction protocol for wheat by testing various solvents aligned with a greener and more sustainable analytical approach. The employed chemometric method, i.e., sparse partial least-squares discriminant analysis, not only facilitated establishing robust classification models capable of discriminating between high vs low DON-contaminated samples adhering to the EU regulatory limit of 1250 μg/kg but also provided valuable insights into the relevant parameters shaping these models.
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Affiliation(s)
- Polina Fomina
- Institute
of Analytical and Bioanalytical Chemistry, Ulm University, Albert-Einstein-Allee 11, 89075 Ulm, Germany
| | - Antoni Femenias
- Institute
of Analytical and Bioanalytical Chemistry, Ulm University, Albert-Einstein-Allee 11, 89075 Ulm, Germany
| | - Valeria Tafintseva
- Faculty
of Science and Technology, Norwegian University
of Life Sciences, Drøbakveien 31, 1432 Ås, Norway
| | - Stephan Freitag
- University
of Natural Resources and Life Sciences, Vienna, Department of Agrobiotechnology
IFA-Tulln, Institute of Bioanalytics and
Agro-Metabolomics, Konrad
Lorenzstr. 20, A-3430 Tulln, Austria
| | - Michael Sulyok
- University
of Natural Resources and Life Sciences, Vienna, Department of Agrobiotechnology
IFA-Tulln, Institute of Bioanalytics and
Agro-Metabolomics, Konrad
Lorenzstr. 20, A-3430 Tulln, Austria
| | - Miriam Aledda
- Faculty
of Science and Technology, Norwegian University
of Life Sciences, Drøbakveien 31, 1432 Ås, Norway
| | - Achim Kohler
- Faculty
of Science and Technology, Norwegian University
of Life Sciences, Drøbakveien 31, 1432 Ås, Norway
| | - Rudolf Krska
- University
of Natural Resources and Life Sciences, Vienna, Department of Agrobiotechnology
IFA-Tulln, Institute of Bioanalytics and
Agro-Metabolomics, Konrad
Lorenzstr. 20, A-3430 Tulln, Austria
- Institute
for Global Food Security, School of Biological Sciences, Queen’s University Belfast, 19 Chlorine Gardens, BT9 5DL Belfast, Northern Ireland
| | - Boris Mizaikoff
- Institute
of Analytical and Bioanalytical Chemistry, Ulm University, Albert-Einstein-Allee 11, 89075 Ulm, Germany
- Hahn-Schickard, Sedanstraße 14, 89077 Ulm, Germany
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4
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Ciaccheri L, De Girolamo A, Cervellieri S, Lippolis V, Mencaglia AA, Pascale M, Mignani AG. Low-Cost Pocket Fluorometer and Chemometric Tools for Green and Rapid Screening of Deoxynivalenol in Durum Wheat Bran. Molecules 2023; 28:7808. [PMID: 38067538 PMCID: PMC10708224 DOI: 10.3390/molecules28237808] [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: 10/04/2023] [Revised: 11/21/2023] [Accepted: 11/23/2023] [Indexed: 12/18/2023] Open
Abstract
Cereal crops are frequently contaminated by deoxynivalenol (DON), a harmful type of mycotoxin produced by several Fusarium species fungi. The early detection of mycotoxin contamination is crucial for ensuring safety and quality of food and feed products, for preventing health risks and for avoiding economic losses because of product rejection or costly mycotoxin removal. A LED-based pocket-size fluorometer is presented that allows a rapid and low-cost screening of DON-contaminated durum wheat bran samples, without using chemicals or product handling. Forty-two samples with DON contamination in the 40-1650 µg/kg range were considered. A chemometric processing of spectroscopic data allowed distinguishing of samples based on their DON content using a cut-off level set at 400 µg/kg DON. Although much lower than the EU limit of 750 µg/kg for wheat bran, this cut-off limit was considered useful whether accepting the sample as safe or implying further inspection by means of more accurate but also more expensive standard analytical techniques. Chemometric data processing using Principal Component Analysis and Quadratic Discriminant Analysis demonstrated a classification rate of 79% in cross-validation. To the best of our knowledge, this is the first time that a pocket-size fluorometer was used for DON screening of wheat bran.
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Affiliation(s)
- Leonardo Ciaccheri
- CNR—Istituto di Fisica Applicata “Nello Carrara” (IFAC), Via Madonna del Piano, 10, Sesto Fiorentino, 50019 Florence, Italy; (A.A.M.); (A.G.M.)
| | - Annalisa De Girolamo
- CNR—Istituto di Scienze delle Produzioni Alimentari (ISPA), Via G. Amendola, 122/O, 70126 Bari, Italy; (S.C.); (V.L.)
| | - Salvatore Cervellieri
- CNR—Istituto di Scienze delle Produzioni Alimentari (ISPA), Via G. Amendola, 122/O, 70126 Bari, Italy; (S.C.); (V.L.)
| | - Vincenzo Lippolis
- CNR—Istituto di Scienze delle Produzioni Alimentari (ISPA), Via G. Amendola, 122/O, 70126 Bari, Italy; (S.C.); (V.L.)
| | - Andrea Azelio Mencaglia
- CNR—Istituto di Fisica Applicata “Nello Carrara” (IFAC), Via Madonna del Piano, 10, Sesto Fiorentino, 50019 Florence, Italy; (A.A.M.); (A.G.M.)
| | - Michelangelo Pascale
- CNR—Istituto di Scienze dell’Alimentazione (ISA), Via Roma, 64, 83100 Avellino, Italy;
| | - Anna Grazia Mignani
- CNR—Istituto di Fisica Applicata “Nello Carrara” (IFAC), Via Madonna del Piano, 10, Sesto Fiorentino, 50019 Florence, Italy; (A.A.M.); (A.G.M.)
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5
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Fomina P, Femenias A, Hlavatsch M, Scheuermann J, Schäfer N, Freitag S, Patel N, Kohler A, Krska R, Koeth J, Mizaikoff B. A Portable Infrared Attenuated Total Reflection Spectrometer for Food Analysis. APPLIED SPECTROSCOPY 2023; 77:1073-1086. [PMID: 37525897 PMCID: PMC10478342 DOI: 10.1177/00037028231190660] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/16/2023] [Accepted: 06/11/2023] [Indexed: 08/02/2023]
Abstract
The analytical performance of a compact infrared attenuated total reflection spectrometer using a pyroelectric detector array has been evaluated and compared to a conventional laboratory Fourier transform infrared system for applications in food analysis. Analytical characteristics including sensitivity, repeatability, linearity of the calibration functions, signal-to-noise ratio, and spectral resolution have been derived for both approaches. Representative analytes of relevance in food industries (i.e., organic solvents, fatty acids, and mycotoxins) have been used for the assessment of the performance of the device and to discuss the potential of this technology in food and feed analysis.
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Affiliation(s)
- Polina Fomina
- Institute of Analytical and Bioanalytical Chemistry, Ulm University, Ulm, Germany
| | - Antoni Femenias
- Institute of Analytical and Bioanalytical Chemistry, Ulm University, Ulm, Germany
| | - Michael Hlavatsch
- Institute of Analytical and Bioanalytical Chemistry, Ulm University, Ulm, Germany
| | | | - Nicolas Schäfer
- Nanoplus Nanosystems and Technologies GmbH, Gerbrunn, Germany
| | - Stephan Freitag
- Department of Agrobiotechnology IFA-Tulln, Institute of Bioanalytics and Agro-Metabolomics, University of Natural Resources and Life Sciences Vienna, Tulln, Austria
| | - Nageshvar Patel
- Faculty of Science and Technology, Norwegian University of Life Sciences, Ås, Norway
| | - Achim Kohler
- Faculty of Science and Technology, Norwegian University of Life Sciences, Ås, Norway
| | - Rudolf Krska
- Department of Agrobiotechnology IFA-Tulln, Institute of Bioanalytics and Agro-Metabolomics, University of Natural Resources and Life Sciences Vienna, Tulln, Austria
- School of Biological Science, Institute for Global Food Security, Queen's University Belfast, Belfast, Northern Ireland
| | - Johannes Koeth
- Nanoplus Nanosystems and Technologies GmbH, Gerbrunn, Germany
| | - Boris Mizaikoff
- Institute of Analytical and Bioanalytical Chemistry, Ulm University, Ulm, Germany
- Hahn-Schickard, Ulm, Germany
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Luan H, Lu J, Li Y, Xu C, Shi W, Lu Y. Simultaneous Identification and Species Differentiation of Major Allergen Tropomyosin in Crustacean and Shellfish by Infrared Spectroscopic Chemometrics. Food Chem 2023; 414:135686. [PMID: 36827779 DOI: 10.1016/j.foodchem.2023.135686] [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: 11/04/2022] [Revised: 02/06/2023] [Accepted: 02/10/2023] [Indexed: 02/19/2023]
Abstract
To solve the lack of rapid and accurate methods for allergen identification and traceability, an infrared spectroscopic chemometric analytical model (IR-CAM) was established by combining infrared spectroscopy with principal component and cluster analysis. By comparing the second derivative infrared (SD-IR) spectra of 5 proteins and 14 crustaceans and shellfish tropomyosin (TM), 8 shared peaks and unique fingerprint peaks in the amide III region were found for crabs, shrimps, and shellfish. Based on the unique fingerprint peaks coexisting with shared peaks, allergen TM in crustaceans and shellfish could be identified within 10 min (cf. ELISA ∼ 4 h). Concurrently, the species differentiation of TM at the Class/Family level was achieved based on IR-CAM. Validation by fermented aquatic products TM (n = 60) demonstrated that the developed IR-CAM could simultaneously identify and differentiate TM in crustaceans and shellfish accurately. It could be applied for allergen detection and traceability of aquatic products on an antibody-free basis.
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Affiliation(s)
- Hongwei Luan
- College of Food Science and Technology, Shanghai Ocean University, Shanghai 201306, China; Laboratory of Quality and Safety Risk Assessment for Aquatic Products on Storage and Preservation (Shanghai), Ministry of Agriculture, Shanghai 201306, China; Shanghai Engineering Research Center of Aquatic-Product Processing and Preservation, Shanghai 201306, China.
| | - Jiada Lu
- College of Food Science and Technology, Shanghai Ocean University, Shanghai 201306, China; Laboratory of Quality and Safety Risk Assessment for Aquatic Products on Storage and Preservation (Shanghai), Ministry of Agriculture, Shanghai 201306, China; Shanghai Engineering Research Center of Aquatic-Product Processing and Preservation, Shanghai 201306, China
| | - Yaru Li
- College of Food Science and Technology, Shanghai Ocean University, Shanghai 201306, China; Laboratory of Quality and Safety Risk Assessment for Aquatic Products on Storage and Preservation (Shanghai), Ministry of Agriculture, Shanghai 201306, China; Shanghai Engineering Research Center of Aquatic-Product Processing and Preservation, Shanghai 201306, China
| | - Changhua Xu
- College of Food Science and Technology, Shanghai Ocean University, Shanghai 201306, China; Laboratory of Quality and Safety Risk Assessment for Aquatic Products on Storage and Preservation (Shanghai), Ministry of Agriculture, Shanghai 201306, China; Shanghai Engineering Research Center of Aquatic-Product Processing and Preservation, Shanghai 201306, China; National R&D Branch Center for Freshwater Aquatic Products Processing Technology (Shanghai), Shanghai 201306, China.
| | - Wenzheng Shi
- College of Food Science and Technology, Shanghai Ocean University, Shanghai 201306, China; Shanghai Engineering Research Center of Aquatic-Product Processing and Preservation, Shanghai 201306, China; National R&D Branch Center for Freshwater Aquatic Products Processing Technology (Shanghai), Shanghai 201306, China
| | - Ying Lu
- College of Food Science and Technology, Shanghai Ocean University, Shanghai 201306, China; Laboratory of Quality and Safety Risk Assessment for Aquatic Products on Storage and Preservation (Shanghai), Ministry of Agriculture, Shanghai 201306, China; Shanghai Engineering Research Center of Aquatic-Product Processing and Preservation, Shanghai 201306, China; National R&D Branch Center for Freshwater Aquatic Products Processing Technology (Shanghai), Shanghai 201306, China.
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7
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Lin XW, Liu RH, Wang S, Yang JW, Tao NP, Wang XC, Zhou Q, Xu CH. Direct Identification and Quantitation of Protein Peptide Powders Based on Multi-Molecular Infrared Spectroscopy and Multivariate Data Fusion. JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY 2023. [PMID: 37406208 DOI: 10.1021/acs.jafc.3c01841] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/07/2023]
Abstract
Given that protein peptide powders (PPPs) from different biological sources were inherited with diverse healthcare functions, which aroused adulteration of PPPs. A high-throughput and rapid methodology, united multi-molecular infrared (MM-IR) spectroscopy with data fusion, could determine the types and component content of PPPs from seven sources as examples. The chemical fingerprints of PPPs were thoroughly interpreted by tri-step infrared (IR) spectroscopy, and the defined spectral fingerprint region of protein peptide, total sugar, and fat was 3600-950 cm-1, which constituted MIR finger-print region. Moreover, the mid-level data fusion model was of great applicability in qualitative analysis, in which the F1-score reached 1 and the total accuracy was 100%, and a robust quantitative model was established with excellent predictive capacity (Rp: 0.9935, RMSEP: 1.288, and RPD: 7.97). MM-IR coordinated data fusion strategies to achieve high-throughput, multi-dimensional analysis of PPPs with better accuracy and robustness which meant a significant potential for the comprehensive analysis of other powders in food as well.
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Affiliation(s)
- Xiao-Wen Lin
- College of Food Science & Technology, Shanghai Ocean University, Shanghai 201306, P. R. China
- Shanghai Qinpu Biotechnology Pte Ltd, Shanghai 201306, China
| | - Run-Hui Liu
- College of Food Science & Technology, Shanghai Ocean University, Shanghai 201306, P. R. China
| | - Song Wang
- College of Food Science & Technology, Shanghai Ocean University, Shanghai 201306, P. R. China
- Shanghai Qinpu Biotechnology Pte Ltd, Shanghai 201306, China
| | - Jie-Wen Yang
- College of Food Science & Technology, Shanghai Ocean University, Shanghai 201306, P. R. China
| | - Ning-Ping Tao
- College of Food Science & Technology, Shanghai Ocean University, Shanghai 201306, P. R. China
- Shanghai Engineering Research Center of Aquatic-Product Processing & Preservation, Shanghai 201306, China
| | - Xi-Chang Wang
- College of Food Science & Technology, Shanghai Ocean University, Shanghai 201306, P. R. China
- Shanghai Engineering Research Center of Aquatic-Product Processing & Preservation, Shanghai 201306, China
| | - Qun Zhou
- Department of Chemistry, Tsinghua University, Beijing 100084, China
| | - Chang-Hua Xu
- College of Food Science & Technology, Shanghai Ocean University, Shanghai 201306, P. R. China
- Shanghai Engineering Research Center of Aquatic-Product Processing & Preservation, Shanghai 201306, China
- Ministry of Agriculture, Laboratory of Quality and Safety Risk Assessment for Aquatic Products on Storage and Preservation (Shanghai), Shanghai 201306, China
- National R&D Branch Center for Freshwater Aquatic Products Processing Technology (Shanghai), Shanghai 201306, China
- Shanghai Qinpu Biotechnology Pte Ltd, Shanghai 201306, China
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8
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De Géa Neves M, Noda I, Siesler HW. Investigation of bread staling by handheld NIR spectroscopy in tandem with 2D-COS and MCR-ALS analysis. Microchem J 2023. [DOI: 10.1016/j.microc.2023.108578] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/05/2023]
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9
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Lin XW, Li FL, Wang S, Xie J, Pan QN, Wang P, Xu CH. A Novel Method Based on Multi-Molecular Infrared (MM-IR) AlexNet for Rapid Detection of Trace Harmful Substances in Flour. FOOD BIOPROCESS TECH 2022. [DOI: 10.1007/s11947-022-02964-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
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10
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Yin M, Matsuoka R, Yanagisawa T, Xi Y, Zhang L, Wang X. Effect of different drying methods on free amino acid and flavor nucleotides of scallop (patinopecten yessoensis) adductor muscle. Food Chem 2022; 396:133620. [PMID: 35843006 DOI: 10.1016/j.foodchem.2022.133620] [Citation(s) in RCA: 28] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2021] [Revised: 06/27/2022] [Accepted: 06/30/2022] [Indexed: 01/17/2023]
Abstract
The effects of hot air drying (HAD), vacuum hot air drying (VHAD), microwave drying (MWD), and vacuum freeze drying (VFD) on free amino acids (FAAs) and flavor nucleotides in scallop adductor muscle (SAM) were studied. The liquid chromatography and multidimensional infrared spectroscopy (MM-IR) were used. Compared with fresh SAM, the main FAAs were glycine, alanine, arginine, and glutamic acid in dried SAM. The total FAAs content in VFD group was 1.40-1.90 times of the other group. The umami taste nucleotides (IMP and AMP) content in the VFD and MWD groups was significantly higher than that in HAD and VHAD groups. Equivalent umami concentrations were found: VFD > MWD > VHAD > HAD. MM-IR analysis was an efficient method for identifying taste components. The results revealed FAAs and flavor nucleotides and the mutual adjustment of compounds were related to drying method, and VFD was preferred for taste substance retention in scallops.
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Affiliation(s)
- Mingyu Yin
- College of Food Science and Technology, Shanghai Ocean University, Shanghai 201306, China
| | | | | | - Yinci Xi
- College of Food Science and Technology, Shanghai Ocean University, Shanghai 201306, China
| | - Long Zhang
- College of Food Science and Technology, Shanghai Ocean University, Shanghai 201306, China.
| | - Xichang Wang
- College of Food Science and Technology, Shanghai Ocean University, Shanghai 201306, China.
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11
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Simultaneous detection of mixed foodborne pathogens by multi-molecular infrared spectroscopy identification system. Food Control 2022. [DOI: 10.1016/j.foodcont.2022.108861] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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12
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Wang S, Hu XZ, Liu YY, Tao NP, Lu Y, Wang XC, Lam W, Lin L, Xu CH. Direct authentication and composition quantitation of red wines based on Tri-step infrared spectroscopy and multivariate data fusion. Food Chem 2022; 372:131259. [PMID: 34627087 DOI: 10.1016/j.foodchem.2021.131259] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2021] [Revised: 09/24/2021] [Accepted: 09/27/2021] [Indexed: 12/21/2022]
Abstract
A robust data fusion strategy integrating Tri-step infrared spectroscopy (IR) with electronic nose (E-nose) was established for rapid qualitative authentication and quantitative evaluation of red wines using Cabernet Sauvignon as an example. The chemical fingerprints of four types of wines were thoroughly interpreted by Tri-step IR, and the defined spectral fingerprint region of alcohol and sugar was 1200-950 cm-1. The wine types were authenticated by IR-based principal component analysis (PCA). Furthermore, ten quantitative models by partial least squares (PLS) were built to evaluate alcohol and total sugar contents. In particular, the model based on the fusion datasets of spectral fingerprint region and E-nose was superior to the others, in which RMSEP reduced by 47.95% (alcohol) and 79.90% (total sugar), rp increased by 11.95% and 43.47%, and RPD >3.0. The developed methodology would be applicable for mass screening and rapid multi-chemical-component quantification of wines in a more comprehensive and efficient manner.
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Affiliation(s)
- Song Wang
- College of Food Science and Technology, Shanghai Ocean University, Shanghai 201306, China; Shanghai Qinpu Biotechnology Pte Ltd, Shanghai 201306, China
| | - Xiao-Zhen Hu
- College of Food Science and Technology, Shanghai Ocean University, Shanghai 201306, China; Shanghai Engineering Research Center of Aquatic-Product Processing & Preservation, Shanghai 201306, PR China
| | - Yan-Yan Liu
- College of Food Science and Technology, Shanghai Ocean University, Shanghai 201306, China; Shanghai Qinpu Biotechnology Pte Ltd, Shanghai 201306, China
| | - Ning-Ping Tao
- College of Food Science and Technology, Shanghai Ocean University, Shanghai 201306, China; Shanghai Engineering Research Center of Aquatic-Product Processing & Preservation, Shanghai 201306, PR China
| | - Ying Lu
- College of Food Science and Technology, Shanghai Ocean University, Shanghai 201306, China; Shanghai Engineering Research Center of Aquatic-Product Processing & Preservation, Shanghai 201306, PR China
| | - Xi-Chang Wang
- College of Food Science and Technology, Shanghai Ocean University, Shanghai 201306, China; Shanghai Engineering Research Center of Aquatic-Product Processing & Preservation, Shanghai 201306, PR China
| | - Wing Lam
- Department of Pharmacology, Yale University, New Haven, CT 06520, US
| | - Ling Lin
- Comprehensive Technology Service Center of Quanzhou Customs, Quanzhou 362018, PR China.
| | - Chang-Hua Xu
- College of Food Science and Technology, Shanghai Ocean University, Shanghai 201306, China; Department of Pharmacology, Yale University, New Haven, CT 06520, US; Shanghai Engineering Research Center of Aquatic-Product Processing & Preservation, Shanghai 201306, PR 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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13
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Gao M, Xie J, Yao H, Yan Y, Li F, Wang S, Shi W, Lu Y, Deng S, Xu C. An in‐situ method to track the quality change of frozen surimi as a whole: Multi‐molecular infrared spectroscopy in combination with LF‐NMR. J FOOD PROCESS PRES 2021. [DOI: 10.1111/jfpp.16055] [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)
- Ming‐Hui Gao
- College of Food Science & Technology Shanghai Ocean University Shanghai P.R. China
- Shanghai Qinpu Biotechnology Pte Ltd Shanghai China
| | - Jun Xie
- College of Food Science & Technology Shanghai Ocean University Shanghai P.R. China
- Shanghai Qinpu Biotechnology Pte Ltd Shanghai China
| | - Hui Yao
- College of Food Science & Technology Shanghai Ocean University Shanghai P.R. China
- Shanghai Qinpu Biotechnology Pte Ltd Shanghai China
| | - Yu Yan
- College of Food Science & Technology Shanghai Ocean University Shanghai P.R. China
| | - Fei‐Li Li
- College of Food Science & Technology Shanghai Ocean University Shanghai P.R. China
- Shanghai Qinpu Biotechnology Pte Ltd Shanghai China
| | - Song Wang
- College of Food Science & Technology Shanghai Ocean University Shanghai P.R. China
- Shanghai Qinpu Biotechnology Pte Ltd Shanghai China
| | - Wen‐Zheng Shi
- College of Food Science & Technology Shanghai Ocean University Shanghai P.R. China
- Shanghai Engineering Research Center of Aquatic‐Product Processing & Preservation Shanghai China
- Laboratory of Quality and Safety Risk Assessment for Aquatic Products on Storage and Preservation (Shanghai) Ministry of Agriculture Shanghai China
- National R&D Branch Center for Freshwater Aquatic Products Processing Technology (Shanghai) Shanghai China
| | - Ying Lu
- College of Food Science & Technology Shanghai Ocean University Shanghai P.R. China
- Shanghai Engineering Research Center of Aquatic‐Product Processing & Preservation Shanghai China
- Laboratory of Quality and Safety Risk Assessment for Aquatic Products on Storage and Preservation (Shanghai) Ministry of Agriculture Shanghai China
- National R&D Branch Center for Freshwater Aquatic Products Processing Technology (Shanghai) Shanghai China
| | - Shang‐Gui Deng
- College of Food and Pharmacy Zhejiang Ocean University Zhoushan China
| | - Chang‐Hua Xu
- College of Food Science & Technology Shanghai Ocean University Shanghai P.R. China
- Shanghai Engineering Research Center of Aquatic‐Product Processing & Preservation Shanghai China
- Laboratory of Quality and Safety Risk Assessment for Aquatic Products on Storage and Preservation (Shanghai) Ministry of Agriculture Shanghai China
- National R&D Branch Center for Freshwater Aquatic Products Processing Technology (Shanghai) Shanghai China
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