Nuclear magnetic resonance as an analytical tool for monitoring the quality and authenticity of dairy foods

被引:32
|
作者
Balthazar, Celso F. [1 ,2 ]
Guimara, Jonas T. [2 ]
Rocha, Ramon S. [2 ,3 ]
Pimentel, Tatiana C. [4 ]
Neto, Roberto P. C. [5 ]
Tavares, Maria Ines B. [5 ]
Grata, Juliana S. [1 ]
Filho, Elenilson G. Alves [6 ]
Freitas, Monica Q. [2 ]
Esmerino, Erick A. [2 ]
Granato, Daniel [7 ]
Rodrigues, Sueli [6 ]
Raices, Renata S. L. [3 ]
Silva, Marcia C. [3 ]
Sant'Ana, Anderson S. [1 ]
Cruz, Adriano G. [3 ]
机构
[1] Univ Estadual Campinas UNICAMP, Fac Engn Alimentos FEA, BR-13083862 Campinas, SP, Brazil
[2] Univ Fed Fluminense UFF, Fac Vet, BR-24230340 Niteroi, RJ, Brazil
[3] Inst Fed Educ Ciencia & Tecnol Rio De Janeiro IFR, Dept Alimentos, BR-20270021 Rio De Janeiro, Brazil
[4] Inst Fed Educ Ciencia & Tecnol Parana IFPR, BR-87703536 Paranavai, Parana, Brazil
[5] Univ Fed Rio De Janeiro UFRJ, Inst Macromol Professora Eloisa Mano IMA, BR-21941598 Rio De Janeiro, Brazil
[6] Univ Fed Ceara UFC, Dept Engn Alimentos, BR-60440900 Fortaleza, Ceara, Brazil
[7] Nat Resources Inst Finland Luke, Prod Syst Unit, Food Proc & Qual, FI-02150 Espoo, Finland
基金
巴西圣保罗研究基金会;
关键词
Nuclear magnetic resonance; Dairy foods; Quality; WATER DISTRIBUTION; MOZZARELLA CHEESE; MEAT QUALITY; LF-NMR; GEOGRAPHICAL ORIGIN; MILK; MOBILITY; BEHAVIOR; RELAXATION; SPECTROSCOPY;
D O I
10.1016/j.tifs.2020.12.011
中图分类号
TS2 [食品工业];
学科分类号
0832 ;
摘要
Background: In the last years, consumers are more conscious about nutrition, welfare, authenticity, and quality of dairy products. Nuclear magnetic resonance (NMR) technology has gained attention as a potential method for food quality and authenticity purposes. Scope and approach: This review aimed to comprehensively explain and discuss the use of NMR for quality and authenticity of milk and dairy products. Key findings and conclusions: The NMR technology showed to be an effective tool to ensure the authenticity and to control the quality of dairy products during the processing and storage. It may be used to measure the fat content of milk and dairy products, evaluate the geographic origin, the molecular water mobility and the water retention capacity of cheeses, study the water mobility in milk beverages, and quantify the bound water molecules in ice creams. Additionally, NMR can detect whey, urea, hydrogen peroxide, synthetic urine, and synthetic milk in raw milk. Furthermore, it can evaluate physicochemical and sensory parameters of the products. NMR is a nondestructive technique, no need sample preparation or solvent separation, is fast and simple, and has high instrumental stability. However, it has disadvantages, like the high costs of acquisition and maintenance. The characterization of dairy foods may benefit from the combination of NMR and chemometrics, mainly to deal with large data matrices and highlight differences/similarities among samples.
引用
收藏
页码:84 / 91
页数:8
相关论文
共 50 条
  • [41] Novel ultrasonic-assisted vacuum drying technique for dehydrating garlic slices and predicting the quality properties by low field nuclear magnetic resonance
    Chen, Yannan
    Li, Meng
    Dharmasiri, Thasmi Shashikala Kumari
    Song, Xiangyun
    Liu, Feng
    Wang, Xiao
    FOOD CHEMISTRY, 2020, 306
  • [42] Monitoring of the oxidation process of egg yolk phospholipids at frying temperature by nuclear magnetic resonance
    Zhao, Zijian
    Wan, Peng
    Liu, Jie
    Yu, Shunjie
    Yang, Xiaoying
    Chen, De-Wei
    FOOD BIOSCIENCE, 2023, 51
  • [43] Effect of multiple freeze-thaw cycles on water migration, protein conformation and quality attributes of beef longissimus dorsi muscle by real-time low field nuclear magnetic resonance and Raman spectroscopy
    Zhu, Jiaying
    Li, Shanshan
    Yang, Liang
    Zhao, Zerun
    Xia, Jiulin
    Zhu, Yingying
    Li, Chunbao
    FOOD RESEARCH INTERNATIONAL, 2023, 166
  • [44] Evaluation of fresh meat quality by Hyperspectral Imaging (HSI), Nuclear Magnetic Resonance (NMR) and Magnetic Resonance Imaging (MRI): A review
    Antequera, Teresa
    Caballero, Daniel
    Grassi, Silvia
    Uttaro, Bethany
    Perez-Palacios, Trinidad
    MEAT SCIENCE, 2021, 172
  • [45] A Nuclear Magnetic Resonance (NMR) Platform for Real-Time Metabolic Monitoring of Bioprocesses
    Mehendale, Ninad
    Jenne, Felix
    Joshi, Chandrakant
    Sharma, Swati
    Masakapalli, Shyam Kumar
    MacKinnon, Neil
    MOLECULES, 2020, 25 (20):
  • [46] Metabolomics comparison of rumen fluid and milk in dairy cattle using proton nuclear magnetic resonance spectroscopy
    Eom, Jun Sik
    Kim, Eun Tae
    Kim, Hyun Sang
    Choi, You Young
    Lee, Shin Ja
    Lee, Sang Suk
    Kim, Seon Ho
    Lee, Sung Sill
    ANIMAL BIOSCIENCE, 2021, 34 (02) : 213 - 222
  • [47] “Ask Ernö”: a self-learning tool for assignment and prediction of nuclear magnetic resonance spectra
    Andrés M. Castillo
    Andrés Bernal
    Reiner Dieden
    Luc Patiny
    Julien Wist
    Journal of Cheminformatics, 8
  • [48] "Ask Erno": a self-learning tool for assignment and prediction of nuclear magnetic resonance spectra
    Castillo, Andres M.
    Bernal, Andres
    Dieden, Reiner
    Patiny, Luc
    Wist, Julien
    JOURNAL OF CHEMINFORMATICS, 2016, 8
  • [49] Low-Field Nuclear Magnetic Resonance Relaxometry as a Tool in Monitoring the Aging of Coating Solutions (Case Study: Barium Propionate Precursor Coating Solution)
    Badea, C.
    Mos, R. B.
    Ciontea, L.
    Ardelean, I.
    APPLIED MAGNETIC RESONANCE, 2010, 39 (04) : 365 - 372
  • [50] Low-field nuclear magnetic resonance spectrometer for non-invasive monitoring of fluctuations in blood glucose in the human finger
    Lu, Rongsheng
    Hu, Jianxiong
    Chen, Yi
    Wu, Yuchen
    Ni, Zhonghua
    Yi, Hong
    SPECTROSCOPY LETTERS, 2018, 51 (07) : 395 - 401