Potential uses of LF‐NMR and MRI in the study of water dynamics and quality measurement of fruits and vegetables

This paper provides an overview of nondestructive imaging techniques for evaluating internal and external quality characteristics of fruits and vegetables and the future prospects of those technologies within the food industry. Low‐field nuclear magnetic resonance (LF‐NMR) and magnetic resonance imaging (MRI) are viable technologies in assessing water status, which can significantly impact the quality of fruits and vegetables' texture, tenderness, and microstructure. This review examined some of the most widely studied agricultural fruits and vegetables, described NMR/MRI techniques, and explained the benefits of their implementation in the assessment of internal quality attributes such as internal defects, water content, nutrition content, maturity, fruit firmness, and seed detection, as well as physicochemical and microbiological quality in both commercial and industrial applications. In spite of considerable developments in the quality measurement of fruits and vegetables and their products, the implementation of these techniques at an industrial level has been unsatisfactory. PRACTICAL APPLICATIONS: This paper aimed to present a magnificent knowledge about fruit/vegetable processing and preservation techniques pertaining to quality evaluation. If the appropriate skills and the introduced tools are combined and utilized in an innovative and suitable way, a high quality of fruit/vegetable products with a high nutritional value can be achieved. This will be beneficial for both producers and customers.

[1]  Bernhard Blümich,et al.  NMR at low magnetic fields , 2009 .

[2]  Milan Hájek,et al.  MRI ‘texture’ analysis of MR images of apples during ripening and storage , 2003 .

[3]  Pictiaw Chen,et al.  Development of a High-speed NMR Technique for Sensing Maturity of Avocados , 1996 .

[4]  Pictiaw Chen,et al.  Detection of pits in olives under motion by nuclear magnetic resonance , 1997 .

[5]  G. Posada-Izquierdo,et al.  Quantitative Tools and Procedures for Shelf Life Determination in Minimally Processed Fruits and Vegetables , 2018 .

[6]  H. Figiel,et al.  Application of low-field MRI for quality assessment of ‘Conference’ pears stored under controlled atmosphere conditions , 2017 .

[7]  R. Jarret,et al.  Seed oil and fatty acid content in okra (Abelmoschus esculentus) and related species. , 2011, Journal of agricultural and food chemistry.

[8]  Pilar Barreiro,et al.  On-line identification of seeds in mandarins with magnetic resonance imaging , 2006 .

[9]  Michael Ngadi,et al.  Recent advances in rapid and nondestructive determination of fat content and fatty acids composition of muscle foods , 2018, Critical reviews in food science and nutrition.

[10]  Emrah Kirtil,et al.  Recent advances in time domain NMR & MRI sensors and their food applications , 2017 .

[11]  Pietro Rocculi,et al.  Effect of osmotic dehydration on Actinidia deliciosa kiwifruit: A combined NMR and ultrastructural study , 2012 .

[12]  Min Zhang,et al.  Novel Intelligent Detection of Safer Water Activity by LF-NMR Spectra for Selected Fruits and Vegetables during Drying , 2019, Food and Bioprocess Technology.

[13]  K. M. Wright,et al.  NMR protocol for on-line Brix determination , 2006 .

[14]  Chapter 2 – Fluid Flow , 2013 .

[15]  Xiao Dong Chen,et al.  Investigation on water status and distribution in broccoli and the effects of drying on water status using NMR and MRI methods. , 2017, Food research international.

[16]  C. J. Clark,et al.  Application of magnetic resonance imaging to pre- and post-harvest studies of fruits and vegetables , 1997 .

[17]  P. Sequi,et al.  Identification of cherry tomatoes growth origin by means of magnetic resonance imaging , 2007 .

[18]  Jianrong Li,et al.  Sweet cherry softening accompanied with moisture migration and loss during low-temperature storage. , 2018, The Journal of the Science of Food and Agriculture.

[19]  Agnieszka Wierzbicka,et al.  Differentiation of chill-stored and frozen pork necks using electronic nose with ultra-fast gas chromatography , 2017 .

[20]  Diane M. Barrett,et al.  Effect of pectin methyl esterase (PME) and CaCl2 infusion on the cell integrity of fresh-cut and frozen-thawed mangoes: An NMR relaxometry study , 2014 .

[21]  Y. Chang,et al.  Traceability in a food supply chain: Safety and quality perspectives , 2014 .

[22]  David R. Cole,et al.  Characterization and Analysis of Porosity and Pore Structures , 2015 .

[23]  Min Zhang,et al.  Online measurement of moisture content, moisture distribution, and state of water in corn kernels during microwave vacuum drying using novel smart NMR/MRI detection system , 2018 .

[24]  Lu Zhang,et al.  Black heart characterization and detection in pomegranate using NMR relaxometry and MR imaging , 2012 .

[25]  Lisbeth G. Thygesen,et al.  Prediction of Sensory Texture Quality of Boiled Potatoes From Low-field1H NMR of Raw Potatoes. The Role of Chemical Constituents , 2001 .

[26]  Lu Zhang,et al.  Magnetic resonance imaging provides spatial resolution of Chilling Injury in Micro-Tom tomato (Solanum lycopersicum L.) fruit , 2014 .

[27]  Yuzhen Lu,et al.  Non-Destructive Defect Detection of Apples by Spectroscopic and Imaging Technologies: A Review , 2017 .

[28]  T. Haishi,et al.  Longitudinal NMR parameter measurements of Japanese pear fruit during the growing process using a mobile magnetic resonance imaging system. , 2013, Journal of magnetic resonance.

[29]  Xin Wang,et al.  Rapid detection of peanut oil adulteration using low-field nuclear magnetic resonance and chemometrics. , 2017, Food chemistry.

[30]  E. Rea,et al.  DEFINITION OF INTERNAL MORPHOLOGY AND STRUCTURAL CHANGES DUE TO DEHYDRATION OF RADISH (RAPHANUS SATIVUS L. CV. SUPRELLA) USING MAGNETIC RESONANCE IMAGING SPECTROSCOPY , 2005 .

[31]  Martine Wevers,et al.  Comparison of X-ray CT and MRI of watercore disorder of different apple cultivars , 2014 .

[32]  S. Engelsen,et al.  Prediction of Sensory Texture of Cooked Potatoes using Uniaxial Compression, Near Infrared Spectroscopy and Low Field1H NMR Spectroscopy , 2000 .

[33]  Francesca Patrignani,et al.  Innovative strategies based on the use of essential oils and their components to improve safety, shelf-life and quality of minimally processed fruits and vegetables , 2015 .

[34]  A. Handa,et al.  Observations using Phosphorus-31 nuclear magnetic resonance (31P-NMR) of structural changes in freeze-thawed hen egg yolk. , 2018, Food chemistry.

[35]  Patrick J. Cullen,et al.  Shelf-life extension of herring (Clupea harengus) using in-package atmospheric plasma technology , 2017, Innovative Food Science & Emerging Technologies.

[36]  B. Nicolai,et al.  MRI and x-ray CT study of spatial distribution of core breakdown in 'Conference' pears. , 2003, Magnetic resonance imaging.

[37]  Xiaolong Shao,et al.  Classification and Prediction by LF NMR , 2012, Food and Bioprocess Technology.

[38]  Abhijit Kar,et al.  Recent developments in applications of MRI techniques for foods and agricultural produce—an overview , 2013, Journal of Food Science and Technology.

[39]  J. W. Allwood,et al.  1H NMR, GC-EI-TOFMS, and data set correlation for fruit metabolomics: application to spatial metabolite analysis in melon. , 2009, Analytical chemistry.

[40]  Jianrong Li,et al.  Effects of freezing conditions on quality changes in blueberries. , 2018, Journal of the science of food and agriculture.

[41]  A. Mujumdar,et al.  High-humidity hot air impingement blanching alters texture, cell-wall polysaccharides, water status and distribution of seedless grape. , 2018, Carbohydrate polymers.

[42]  Søren Balling Engelsen,et al.  CHAPTER 8:NMR Foodomics , 2018 .

[43]  J. M. Pérez-Sánchez,et al.  Non-destructive seed detection in mandarins: Comparison of automatic threshold methods in FLASH and COMSPIRA MRIs , 2008 .

[44]  D. Joyce,et al.  Non-destructive 1H-MRI assessment of flesh bruising in avocado (Persea americana M.) cv. Hass , 2015 .

[45]  Hamed Ebrahimnejad,et al.  Use of Magnetic Resonance Imaging in Food Quality Control: A Review , 2018, Journal of biomedical physics & engineering.

[46]  M S M Preto,et al.  Determination of herb authenticity by low-field NMR. , 2013, Food chemistry.

[47]  P. Barreiro,et al.  Detection of freeze injury in oranges by magnetic resonance imaging of moving samples , 2004 .

[48]  H. J. Andersen,et al.  Cooking effects on water distribution in potatoes using nuclear magnetic resonance relaxation. , 2005, Journal of agricultural and food chemistry.

[49]  Min Zhang,et al.  LF-NMR online detection of water dynamics in apple cubes during microwave vacuum drying , 2018 .

[50]  A. Segre,et al.  Metabolic profile of lettuce leaves by high‐field NMR spectra , 2005, Magnetic resonance in chemistry : MRC.

[51]  Nachiket Kotwaliwale,et al.  Magnetic resonance imaging and relaxometry to visualize internal freeze damage to pickling cucumber , 2012 .

[52]  Olivier Lavialle,et al.  1H NMR and chemometrics to characterize mature grape berries in four wine-growing areas in Bordeaux, France. , 2005, Journal of agricultural and food chemistry.

[53]  Peter Mansfield,et al.  BIOLOGICAL AND MEDICAL IMAGING BY NMR , 1978 .

[54]  B. Fox,et al.  The Length of the Bound Fatty Acid Influences the Dynamics of the Acyl Carrier Protein and the Stability of the Thioester Bond† , 2009, Biochemistry.

[55]  S. Y. Wang,et al.  Non-destructive detection of watercore in apple with nuclear magnetic resonance imaging , 1988 .

[56]  Zou Xiaobo,et al.  Non-invasive sensing for food reassurance. , 2016, The Analyst.

[58]  Feng Chen,et al.  Dynamics of water mobility and distribution in soybean antioxidant peptide powders monitored by LF-NMR. , 2016, Food chemistry.

[59]  B. Williamson,et al.  Nuclear magnetic resonance (NMR) microimaging of raspberry fruit: further studies on the origin of the image. , 1992, The New phytologist.

[60]  Luisa Mannina,et al.  Liquid state 1H high field NMR in food analysis. , 2012, Progress in nuclear magnetic resonance spectroscopy.

[61]  Eliane Teixeira Mársico,et al.  Detection of honey adulteration of high fructose corn syrup by Low Field Nuclear Magnetic Resonance (LF 1H NMR) , 2014 .

[62]  David C. Slaughter,et al.  Non-destructive freeze damage detection in oranges using machine vision and ultraviolet fluorescence , 2008 .

[63]  A. Mujumdar,et al.  Pulsed vacuum drying of Thompson seedless grape: Effects of berry ripeness on physicochemical properties and drying characteristic , 2017 .

[64]  A. Caligiani,et al.  1H NMR study of fermented cocoa (Theobroma cacao L.) beans. , 2010, Journal of agricultural and food chemistry.

[65]  L A Colnago,et al.  Rapid analyses of oil and fat content in agri‐food products using continuous wave free precession time domain NMR , 2011, Magnetic resonance in chemistry : MRC.

[66]  A. Mujumdar,et al.  Combined LF-NMR and Artificial Intelligence for Continuous Real-Time Monitoring of Carrot in Microwave Vacuum Drying , 2019, Food and Bioprocess Technology.

[67]  Irina Volf,et al.  A critical review of methods for characterisation of polyphenolic compounds in fruits and vegetables. , 2011, Food chemistry.

[68]  A. Spiller,et al.  Core Organic Taste: Preferences for Naturalness-Related Sensory Attributes of Organic Food Among European Consumers , 2016 .

[69]  D. Prusky,et al.  Reduction of the incidence of postharvest quality losses, and future prospects , 2011, Food Security.

[70]  G. Ben-Ari,et al.  Use of Magnetic Resonance Imaging (MRI) to Study and Predict Fruit Splitting in Citrus , 2017 .

[71]  B. Hills,et al.  Motional relativity and industrial NMR sensors. , 2006, Journal of magnetic resonance.

[72]  Jinfeng Bi,et al.  Comparison of dynamic water distribution and microstructure formation of shiitake mushrooms during hot air and far infrared radiation drying by low-field nuclear magnetic resonance and scanning electron microscopy. , 2018, Journal of the science of food and agriculture.

[73]  R. Stroshine,et al.  Evaluation of Low Field (5.40-MHz) Proton Magnetic Resonance Measurements of Dw and T2 as Methods of Nondestructive Quality Evaluation of Apples , 1999 .

[74]  Z. El-Hachemi,et al.  High-resolution NMR of irradiated almonds , 2004 .

[75]  B. Hills,et al.  NMR relaxation study of avocado quality , 2005 .

[76]  K. Narsaiah,et al.  Quality parameters of mango and potential of non-destructive techniques for their measurement — a review , 2010, Journal of food science and technology.

[77]  Christopher J. Clark,et al.  Effect of postharvest water loss on ‘Hayward’ kiwifruit water status , 2001 .

[78]  Nobuaki Ishida,et al.  1H-NMR Imaging of Tomato Fruits , 1989 .

[79]  Shasha Cheng,et al.  Water status and distribution in shiitake mushroom and the effects of drying on water dynamics assessed by LF-NMR and MRI , 2020, Drying Technology.

[80]  Portable NMR in food analysis , 2017, Chemical and Biological Technologies in Agriculture.

[81]  Suzanne L. Duce,et al.  Nuclear magnetic resonance imaging of fresh and frozen courgettes , 1992 .

[82]  Xin Jin,et al.  Investigation of the effects of mechanical treatments on cellular structure integrity and vitamin C extractability of broccoli (Brassica oleracea L. var. italica) by LF-NMR. , 2018, Food & function.

[83]  Shyam Narayan Jha,et al.  Non-Destructive Techniques for Quality Evaluation of Intact Fruits and Vegetables , 2000 .

[84]  Pablo Irarrázaval,et al.  Magnetic resonance imaging for nondestructive analysis of wine grapes. , 2004, Journal of agricultural and food chemistry.

[85]  S. Oshita,et al.  Rapid Method Based on Proton Spin–Spin Relaxation Time for Evaluation of Freezing Damage in Frozen Fruit and Vegetable , 2015 .

[86]  Zhiguo Li,et al.  Quantitative evaluation of mechanical damage to fresh fruits , 2014 .

[87]  Youwen Tian,et al.  Analysis and detection of decayed blueberry by low field nuclear magnetic resonance and imaging , 2019, Postharvest Biology and Technology.

[88]  Chen Chang,et al.  Magnetic resonance imaging and analyses of tempering processes in rice kernels , 2009 .

[89]  Daniel Olvera-Trejo,et al.  Non-destructive Assessment of Guava (Psidium guajava L.) Maturity and Firmness Based on Mechanical Vibration Response , 2016, Food and Bioprocess Technology.

[90]  F. Marini,et al.  Metabolomic characterization of Italian sweet pepper (Capsicum annum L.) by means of HRMAS-NMR spectroscopy and multivariate analysis. , 2010, Journal of agricultural and food chemistry.

[91]  P. Belton Spectroscopic Approaches to the Understanding of Water in Foods , 2011 .

[92]  Joachim Müller,et al.  High-throughput platform for automated sorting and selection of single seeds based on time-domain nuclear magnetic resonance (TD-NMR) measurement of oil content. , 2017 .

[93]  Lucas J. van Vliet,et al.  The impact of freeze-drying on microstructure and rehydration properties of carrot , 2012 .

[94]  K. Prasad Non-destructive Quality Analysis of Fruits , 2015 .

[95]  N. Ishida,et al.  Thawing of frozen vegetables observed by a small dedicated MRI for food research. , 2006, Magnetic resonance imaging.

[96]  Aditi Jain,et al.  Nanomaterials in food and agriculture: An overview on their safety concerns and regulatory issues , 2018, Critical reviews in food science and nutrition.

[97]  Massimo F. Marcone,et al.  Diverse food-based applications of nuclear magnetic resonance (NMR) technology , 2013 .

[98]  Shasha Cheng,et al.  Freezing-induced proton dynamics in tofu evaluated by low-field nuclear magnetic resonance , 2017, Journal of Food Measurement and Characterization.

[99]  W. L. Kerr,et al.  Freezing effects in fruit tissue of kiwifruit observed by magnetic resonance imaging , 1997 .

[100]  Corine Sandström,et al.  NMR study on hydroxy protons of κ- and κ/μ-hybrid carrageenan oligosaccharides: experimental evidence of hydrogen bonding and chemical exchange interactions in κ/μ oligosaccharides. , 2010, Biomacromolecules.

[101]  Ada Brambilla,et al.  Magnetic Resonance Imaging of Strawberry (Fragaria vesca) Slices During Osmotic Dehydration and Air Drying , 2002 .

[102]  Baris Ozel,et al.  Effect of different polysaccharides on swelling of composite whey protein hydrogels: A low field (LF) NMR relaxometry study , 2017 .

[103]  R. Lamanna,et al.  Proton high‐field NMR study of tomato juice , 2003 .

[104]  C. N. Thai,et al.  Nondestructive Detection of Section Drying, an Internal Disorder in Tangerine , 1998 .

[105]  P. Sequi,et al.  Hayward kiwifruits and Plant Growth Regulators: Detection and effects in post-harvest studied by Magnetic Resonance Imaging and Scanning Electron Microscopy , 2011 .

[106]  A. Torrecillas,et al.  Water stress at the end of the pomegranate fruit ripening stage produces earlier harvest and improves fruit quality , 2017 .

[107]  L. Cobiac,et al.  Role of food processing in food and nutrition security , 2016 .

[108]  Umezuruike Linus Opara,et al.  Analytical methods for determination of sugars and sweetness of horticultural products—A review , 2015 .

[109]  Riccardo Massantini,et al.  Postharvest structural changes of Hayward kiwifruit by means of magnetic resonance imaging spectroscopy , 2009 .

[110]  M. Cambert,et al.  NMR study of tomato pericarp tissue by spin-spin relaxation and water self-diffusion , 2005 .

[111]  Pictiaw Chen,et al.  Real-Time Detection of Pits in Processed Cherries by Magnetic Resonance Projections , 1994 .

[112]  L. Lião,et al.  High-resolution magic angle spinning nuclear magnetic resonance in foodstuff analysis , 2015 .

[113]  Laura Otero,et al.  Effects of pressure processing on strawberry studied by nuclear magnetic resonance. , 2009 .

[114]  Bo Zhang,et al.  Characterization of water state and distribution in textured soybean protein using DSC and NMR , 2010 .

[115]  Quansheng Chen,et al.  Recent advances in emerging imaging techniques for non-destructive detection of food quality and safety , 2013 .

[116]  Zdenka Peršin,et al.  Challenges and opportunities in polysaccharides research and technology: The EPNOE views for the next decade in the areas of materials, food and health care , 2011 .

[117]  Pilar Barreiro,et al.  Assessment of watercore development in apples with MRI: Effect of fruit location in the canopy , 2013 .

[118]  M Ruiz-Altisent,et al.  Mealiness assessment in apples and peaches using MRI techniques. , 2000, Magnetic resonance imaging.

[119]  Emrah Kirtil,et al.  Nuclear Magnetic Resonance Relaxometry and Magnetic Resonance Imaging and Applications in Food Science and Processing , 2022 .

[120]  Lembe S. Magwaza,et al.  A Review of Destructive and Non-destructive Methods for Determining Avocado Fruit Maturity , 2015, Food and Bioprocess Technology.

[121]  Massimiliano Valentini,et al.  Seasonal chemical–physical changes of PGI Pachino cherry tomatoes detected by magnetic resonance imaging (MRI) , 2010 .

[122]  Ran Zhou,et al.  Texture analysis of MR image for predicting the firmness of Huanghua pears (Pyrus pyrifolia Nakai, cv. Huanghua) during storage using an artificial neural network. , 2007, Magnetic resonance imaging.

[123]  G. Gould Preservation: past, present and future. , 2000, British medical bulletin.

[124]  Identification of the distribution of sugars in grapes using chemical shift selective NMR microscopy. , 1993, Magnetic resonance imaging.

[125]  P. Verboven,et al.  Spatial development of transport structures in apple (Malus × domestica Borkh.) fruit , 2015, Front. Plant Sci..

[126]  P. Jakob,et al.  The potential of nuclear magnetic resonance to track lipids in planta. , 2016, Biochimie.

[127]  C. Crisosto,et al.  Applying non-destructive sensors to improve fresh fruit consumer satisfaction and increase consumption , 2016 .

[128]  N. Hernández-Sánchez,et al.  An NMR study on internal browning in pears , 2007 .

[129]  M. Oztop,et al.  Mathematical Modeling and Use of Magnetic Resonance Imaging (MRI) for Oil Migration in Chocolate Confectionery Systems , 2017, Food Engineering Reviews.

[130]  R. Hartel,et al.  Non-equilibrium States in Confectionery , 2017 .

[131]  D. Granato,et al.  Assessing the effects of different prebiotic dietary oligosaccharides in sheep milk ice cream. , 2017, Food research international.

[132]  A. Tomassini,et al.  Monitoring of metabolic profiling and water status of Hayward kiwifruits by nuclear magnetic resonance. , 2010, Talanta.

[133]  M. Tanokura,et al.  Quantitation of Minor Components in Mango Juice with Band-Selective Excitation NMR Spectroscopy. , 2017, Journal of agricultural and food chemistry.

[134]  Bhesh Bhandari,et al.  Smart NMR Method of Measurement of Moisture Content of Vegetables During Microwave Vacuum Drying , 2017, Food and Bioprocess Technology.

[135]  Bhesh Bhandari,et al.  Effect of Ultrasound Immersion Freezing on the Quality Attributes and Water Distributions of Wrapped Red Radish , 2015, Food and Bioprocess Technology.

[136]  Margarita Ruiz-Altisent,et al.  Review: Sensors for product characterization and quality of specialty crops-A review , 2010 .

[137]  I. Delgadillo,et al.  Use of High-Field 1H NMR Spectroscopy for the Analysis of Liquid Foods , 1996 .

[138]  Bin He,et al.  Imaging Electric Properties of Biological Tissues by RF Field Mapping in MRI , 2010, IEEE Transactions on Medical Imaging.

[139]  G. Gamble Non-Invasive Determination of Freezing Effects in Blueberry Fruit Tissue by Magnetic Resonance Imaging , 1994 .

[140]  Min Zhang,et al.  Recent developments in smart freezing technology applied to fresh foods , 2017, Critical reviews in food science and nutrition.

[141]  Margarita Ruiz-Altisent,et al.  Detection of seeds in citrus using MRI under motion conditions and improvement with motion correction , 2005 .

[142]  Mitsuru Taniwaki,et al.  Non-destructive determination of the optimum eating ripeness of pears and their texture measurements using acoustical vibration techniques , 2009 .

[143]  D. Joyce,et al.  Heat treatment injury of mango fruit revealed by nondestructive magnetic resonance imaging , 1993 .

[144]  Thijs Defraeye,et al.  Application of MRI for tissue characterisation of ‘Braeburn’ apple , 2013 .

[145]  Watcharapol Chayaprasert,et al.  Rapid sensing of internal browning in whole apples using a low-cost, low-field proton magnetic resonance sensor ☆ , 2005 .

[146]  Rakesh Kumar Sharma,et al.  Non-destructive Quality Monitoring of Fresh Fruits and Vegetables , 2017 .

[147]  Lu Zhang,et al.  Measurement and evaluation of tomato maturity using magnetic resonance imaging , 2012 .

[148]  P Barreiro,et al.  Mealiness assessment in apples using MRI techniques. , 1999, Magnetic resonance imaging.

[149]  Henk Van As,et al.  MRI of plants and foods. , 2013 .

[150]  Michael J. McCarthy,et al.  FAST DETECTION OF SEEDS AND FREEZE DAMAGE OF MANDARINES USING MAGNETIC RESONANCE IMAGING , 2008 .

[151]  Marit Aursand,et al.  Use of NMR in fish processing optimization: a review of recent progress , 2012, Magnetic resonance in chemistry : MRC.

[152]  Sune N Jespersen,et al.  Nondestructive detection of internal bruise and spraing disease symptoms in potatoes using magnetic resonance imaging. , 2004, Magnetic resonance imaging.

[153]  Anette Kistrup Thybo,et al.  Prediction of sensory texture quality attributes of cooked potatoes by NMR-imaging (MRI) of raw potatoes in combination with different image analysis methods , 2004 .

[154]  Mohammad Uzzal Hossain Joardder,et al.  Investigation of bound and free water in plant-based food material using NMR T2 relaxometry , 2016 .