Non-destructive Quality Monitoring of Fresh Fruits and Vegetables

Quality determines the shelf life as well as selling price of fresh fruit or vegetable and therefore, quality monitoring and testing of fresh commodities have paramount importance in their postharvest handling and supply chain management. Most of the methods used to assess fruits and vegetables quality are destructive in nature. Now-a-days, various mechanical, optical, electromagnetic, and dynamic non-destructive methods are gaining importance due to ease in operations, faster turn over and reliability. Some of the non-destructive techniques (NDT) are currently being used in laboratories, research institutions and food packaging and processing industries, whereas, some methods are still at developmental stage. Various NDT with respect to their principle and applications such as impact test, electronic nose, time-resolved reflectance spectrometry (TSR), near infrared spectroscopy (NIR), nuclear magnetic resonance (NMR), X-Ray, ultra sonic, acoustic impulse response method, electrical conductivity methods etc., are discussed in this review.

[1]  S. Jha,et al.  PHYSICAL AND AERODYNAMIC PROPERTIES OF MAKHANA , 1998 .

[2]  A. Keyhani,et al.  Physical properties of apricot to characterize best post harvesting options. , 2009 .

[3]  Alessandro Torricelli,et al.  Nondestructive measurements of the optical properties of fruits by means of time-resolved reflectance , 1999, Photonics West - Biomedical Optics.

[4]  P. Sheeja,et al.  Nondestructive Quality Evaluation for Fruits and Vegetables , 2016 .

[5]  Yoshimasa Takahashi,et al.  Extended studies of the automated odor-sensing system based on plural semiconductor gas sensors with computerized pattern recognition techniques , 1988 .

[6]  Jan Kuckenberg,et al.  Evaluation of fluorescence and remission techniques for monitoring changes in peel chlorophyll and internal fruit characteristics in sunlit and shaded sides of apple fruit during shelf-life , 2008 .

[7]  Stuart O. Nelson,et al.  Dielectric spectroscopy in agriculture , 2005 .

[8]  Elizabeth A. Baldwin,et al.  Electronic Noses and Tongues: Applications for the Food and Pharmaceutical Industries , 2011, Sensors.

[9]  Udantha R. Abeyratne,et al.  Ultrasonic technique for non-destructive quality evaluation of oranges , 2014 .

[10]  B. Nicolai,et al.  Evaluation of ultrasonic wave propagation to measure chilling injury in tomatoes , 2004 .

[11]  William L. Rollwitz,et al.  On-stream NMR measurements and control , 1971 .

[12]  Y. Pomeranz,et al.  Measuring high moisture content of cereal grains by pulsed nuclear magnetic resonance. , 1980 .

[13]  Annia García Pereira,et al.  Monitoring storage shelf life of tomato using electronic nose technique , 2008 .

[14]  M. I. Zhang,et al.  Electrical Impedance Analysis in Plant Tissues: A Double Shell Model , 1991 .

[15]  F. J. García-Ramos,et al.  Non-destructive technologies for fruit and vegetable size determination - a review , 2009 .

[16]  Yoshitake Yamamoto,et al.  Analysis for the change of skin impedance , 1977, Medical and Biological Engineering and Computing.

[17]  En-Cheng Yang,et al.  Non-Destructive Quarantine Technique-Potential Application of Using X-ray Images to Detect Early Infestations Caused by Oriental Fruit Fly ( Bactrocera dorsalis ) ( Diptera : Tephritidae ) in Fruit , 2006 .

[18]  Tatsuma Yamamoto,et al.  Electrical properties of the epidermal stratum corneum , 2006, Medical and biological engineering.

[19]  M. Hertog,et al.  Humidity and temperature effects on invasive and non-invasive firmness measures , 2004 .

[20]  Koichi Mizutani,et al.  Electrical impedance analysis of potato tissues during drying , 2014 .

[21]  David H. Vaughan,et al.  Non-destructive evaluation of apple maturity using an electronic nose system , 2006 .

[22]  Marvin P. Steinberg,et al.  WATER BINDING OF MACROMOLECULES DETERMINED BY PULSED NMR , 1976 .

[23]  N. Lewis,et al.  A chemically diverse conducting polymer-based "electronic nose". , 1995, Proceedings of the National Academy of Sciences of the United States of America.

[24]  Stuart O. Nelson,et al.  Dielectric spectroscopy measurements for moisture prediction in Vidalia onions , 2011 .

[25]  C. J. Clark,et al.  Magnetic Resonance Imaging of Browning Development in `Braeburn' Apple during Controlled-atmosphere Storage under High CO2 , 1999 .

[26]  P. Zerbini Emerging technologies for non-destructive quality evaluation of fruit , 2006 .

[27]  Suresh Prasad,et al.  PHYSICAL and THERMAL PROPERTIES of GORGON NUT , 1993 .

[28]  Behrouz Tousi,et al.  Usage of Fruit Response to Both Force and Forced Vibration Applied to Assess Fruit Firmness-a Review , 2011 .

[29]  J. Roger,et al.  Non-destructive tests on the prediction of apple fruit flesh firmness and soluble solids content on tree and in shelf life , 2006 .

[30]  J. Magness,et al.  An improved type of pressure tester for the determination of fruit maturity , 1925 .

[31]  B. Chance,et al.  Spectroscopy and Imaging with Diffusing Light , 1995 .

[32]  Shuhaimi Mustafa,et al.  Evaluation of GABA, crude protein and amino acid composition from different varieties of Malaysian's brown rice. , 2009 .

[33]  Marvin P. Steinberg,et al.  BOUND WATER CAPACITY OF CORN STARCH AND ITS DERIVATIVES BY NMR , 1974 .

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

[35]  Hui Guohua,et al.  Study of peach freshness predictive method based on electronic nose , 2012 .

[36]  Kurt C. Lawrence,et al.  Non-destructive electrical measurement of moisture content in single kernels of corn , 1989 .

[37]  Manuela Zude Non-destructive prediction of banana fruit quality using VIS/NIR spectroscopy , 2003 .

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

[39]  A. Mizrach,et al.  Mechanical Thumb Sensor for Fruit and Vegetable Sorting , 1992 .

[40]  Stuart O. Nelson,et al.  Nondestructive sensing of bulk density and moisture content in shelled peanuts from microwave permittivity measurements , 2006 .

[41]  Stuart O. Nelson,et al.  Measurement of microwave dielectric properties of particulate materials , 1994 .

[42]  Rajiv Sharma,et al.  Measurement techniques and application of electrical properties for nondestructive quality evaluation of foods—a review , 2011, Journal of food science and technology.

[43]  Yankun Peng,et al.  Prediction of apple fruit firmness and soluble solids content using characteristics of multispectral scattering images , 2007 .

[44]  P. Chen,et al.  Determination of acoustic vibration modes in apples , 1993 .

[45]  B. Kowalski,et al.  Pattern recognition. Powerful approach to interpreting chemical data , 1972 .

[46]  Manuela Zude,et al.  Predicting soluble solid content and firmness in apple fruit by means of laser light backscattering image analysis , 2007 .

[47]  S. Jha Physical and Hygroscopic Properties of Makhana , 1999 .

[48]  C. S. Walsh,et al.  DEVELOPMENT OF AN OBJECTIVE AND NON-DESTRUCTIVE HARVEST MATURITY INDEX FOR PEACHES AND NECTARINES , 1998 .

[49]  Bart Nicolai,et al.  Effect of natural variability among apples on the accuracy of VIS-NIR calibration models for optimal harvest date predictions , 2005 .

[50]  C. G. Greenham Bruise and Pressure Injury in Apple Fruits , 1966 .

[51]  Donald J. Nevins,et al.  Comparison of a non-destructive acoustic method with an intrusive method for firmness measurement of kiwifruit , 1997 .

[52]  J. Gardner Detection of vapours and odours from a multisensor array using pattern recognition Part 1. Principal component and cluster analysis , 1991 .

[53]  J. Abbott Quality measurement of fruits and vegetables , 1999 .

[54]  R. Lu,et al.  Technologies for Nondestructive Quality Evaluation of Fruits and Vegetables , 2010 .

[55]  Aiguo Ouyang,et al.  Nondestructive measurement of soluble solid content of navel orange fruit by visible-NIR spectrometric technique with PLSR and PCA-BPNN. , 2010 .

[56]  Jean-Louis Damez,et al.  Dielectric behavior of beef meat in the 1-1500kHz range: Simulation with the Fricke/Cole-Cole model. , 2007, Meat science.

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

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