Instrumental assessment of the sensory quality of fruits and vegetables

Abstract: Increasing demands for improved quality of fruit and vegetables in the fresh-produce market and the food industry, as well as growers’ expectations of high prices for premium quality produce drive the demand for fast, accurate, and objective methods for measuring and monitoring product quality. Such methods are required throughout the chain of preharvest and postharvest processes, from the field to the consumer. Several technologies are available for correlating specific quality-related indices and characteristics of fruits and vegetables with the stages of development during growth and maturation, and during the course of storage and shelf-life, through to consumption. This chapter will summarize the studies, adaptation, modification, and innovation of technologies and devices for determining the material properties of fresh fruits and vegetables as they pass along the processing chain from the field to the consumer. Included are descriptions of the various methods, measurements, equipment, principles and procedures for data processing and correlating the measurements with quality indices of fruits and vegetables as they pass through the various agricultural processes.

[1]  D. Joyce,et al.  A simple non-destructive method for laboratory evaluation of fruit firmness , 1997 .

[2]  M. Hertog,et al.  Systems to characterise internal quality of fruit and vegetables , 2006 .

[3]  A. Mizrach,et al.  Determination of fruit and vegetable properties by ultrasonic excitation , 1989 .

[4]  J. Shenk,et al.  Application of NIR Spectroscopy to Agricultural Products , 1992 .

[5]  Ricardo Gómez-Ladrón de Guevara and,et al.  Evolution of Color during the Ripening of Selected Varieties of Paprika Pepper (Capsicum annuum L.) , 1996 .

[6]  A. Mizrach.  Determination of avocado and mango fruit properties by ultrasonic technique. , 2000, Ultrasonics.

[7]  U. Flitsanov,et al.  Determination of avocado maturity by ultrasonic attenuation measurements , 1999 .

[8]  Z. Schmilovitch,et al.  Determination of mango physiological indices by near-infrared spectrometry , 2000 .

[9]  Renfu Lu,et al.  A Portable Device for the Bioyield Detection to Measure Apple Firmness , 2009 .

[10]  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 .

[11]  A. Mizrach.  Nondestructive ultrasonic monitoring of tomato quality during shelf-life storage , 2007 .

[12]  Y. Hung,et al.  Nondestructive firmness sensing using a laser air-puff detector , 1999 .

[13]  P. Butz,et al.  Recent Developments in Noninvasive Techniques for Fresh Fruit and Vegetable Internal Quality Analysis , 2006 .

[14]  R. Chivers,et al.  Ultrasonic studies of preserved peaches , 1995 .

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

[16]  Cornelius S. Barry,et al.  The stay-green revolution: Recent progress in deciphering the mechanisms of chlorophyll degradation in higher plants , 2009 .

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

[18]  M. Povey,et al.  Application of ultrasonic pulse‐echo techniques to egg albumen quality testing: A preliminary report , 1980 .

[19]  M. Povey.  Ultrasonics of food , 1998 .

[20]  D. P. Ariana,et al.  Evaluation of internal defect and surface color of whole pickles using hyperspectral imaging. , 2010 .

[21]  C. J. Clark,et al.  Detection of Brownheart in 'Braeburn' apple by transmission NIR spectroscopy , 2003 .

[22]  M. Ngadi,et al.  Hyperspectral imaging for nondestructive determination of some quality attributes for strawberry , 2007 .

[23]  N. Sheppard,et al.  Names, symbols, definitions and units of quantities in optical spectroscopy (Recommendations 1984) , 1987 .

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

[25]  A. Peirs,et al.  Nondestructive measurement of fruit and vegetable quality by means of NIR spectroscopy: A review , 2007 .

[26]  Determination of ascorbic acid in pharmaceutical preparations by near infrared reflectance spectroscopy. , 1993, Talanta.

[27]  M. Ruiz-Altisent,et al.  Multispectral images of peach related to firmness and maturity at harvest , 2009 .

[28]  H. Lichtenthaler.  CHLOROPHYLL AND CAROTENOIDS: PIGMENTS OF PHOTOSYNTHETIC BIOMEMBRANES , 1987 .

[29]  M. Ruiz-Altisent,et al.  PH—Postharvest technology: Non-destructive Identification of Woolly Peaches using Impact Response and Near-Infrared Spectroscopy , 2001 .

[30]  M. Zude.  Comparison of indices and multivariate models to non-destructively predict the fruit chlorophyll by means of visible spectrometry in apple fruit , 2003 .

[31]  Yud-Ren Chen,et al.  Hyperspectral imaging for safety inspection of food and agricultural products , 1999, Other Conferences.

[32]  Y. Edan,et al.  Color and firmness classification of fresh market tomatoes , 1997 .

[33]  A. Gowen,et al.  Use of hyperspectral imaging for evaluation of the shelf-life of fresh white button mushrooms (Agaricus bisporus) stored in different packaging films , 2010 .

[34]  M. Hertog,et al.  Postharvest softening of apple (Malus domestica) fruit: A review , 2002 .

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

[36]  U. Flitsanov,et al.  Measurement of avocado softening at various temperatures using ultrasound , 2000 .

[37]  A. Mizrach,et al.  Monitoring avocado softening in low-temperature storage using ultrasonic measurements , 2000 .

[38]  G. Downey,et al.  Hyperspectral imaging combined with principal component analysis for bruise damage detection on white mushrooms (Agaricus bisporus) , 2008 .

[39]  U. Flitsanov,et al.  Nondestructive ultrasonic determination of avocado softening process , 1999 .

[40]  Z. Schmilovitch,et al.  Determination of avocado maturity by near-infrared spectrometry , 2001 .

[41]  Z. Schmilovitch,et al.  Determination of mango physiological indices by mechanical wave analysis , 1999 .

[42]  R. Lu,et al.  Development of a multispectral imaging prototype for real-time detection of apple fruit firmness , 2007 .

[43]  B. Nicolai,et al.  NON-DESTRUCTIVE MEASUREMENT OF ACIDITY, SOLUBLE SOLIDS, AND FIRMNESS OF JONAGOLD APPLES USING NIR-SPECTROSCOPY , 1998 .

[44]  D. Slaughter,et al.  PREDICTING PITTING DAMAGE DURING PROCESSING IN CALIFORNIAN CLINGSTONE PEACHES USING COLOR AND FIRMNESS MEASUREMENTS , 2007 .

[45]  J. Roger,et al.  EPO–PLS external parameter orthogonalisation of PLS application to temperature-independent measurement of sugar content of intact fruits , 2003 .

[46]  R. Wastie,et al.  The identification of diseases and defects in potato tubers from measurements of optical spectral reflectance , 1981 .

[47]  H. Noh,et al.  Integration of Hyperspectral Reflectance and Fluorescence Imaging for Assessing Apple Maturity , 2007 .

[48]  Y. R. Chen,et al.  HYPERSPECTRAL REFLECTANCE AND FLUORESCENCE IMAGING SYSTEM FOR FOOD QUALITY AND SAFETY , 2001 .

[49]  B. Nicolai,et al.  Non-destructive measurement of firmness and soluble solids content in bell pepper using NIR spectroscopy , 2009 .

[50]  M. Ruiz-Altisent,et al.  Non-destructive fruit firmness sensors: a review , 2005 .

[51]  M. Povey,et al.  Ultrasonic evaluation of ripening avocado flesh , 1994 .

[52]  Colm P. O'Donnell,et al.  Hyperspectral imaging – an emerging process analytical tool for food quality and safety control , 2007 .

[53]  C. Spiegelman,et al.  Calibration Transfer between PDA-Based NIR Spectrometers in the NIR Assessment of Melon Soluble Solids Content , 2001 .

[54]  Alan M. Lefcourt,et al.  A novel integrated PCA and FLD method on hyperspectral image feature extraction for cucumber chilling damage inspection , 2004 .

[55]  José Blasco,et al.  Computer vision detection of peel defects in citrus by means of a region oriented segmentation algorithm , 2007 .

[56]  L. Gaete-Garretón,et al.  A Novel Noninvasive Ultrasonic Method to Assess Avocado Ripening , 2006 .

[57]  A. Gitelson,et al.  Reflectance spectral features and non-destructive estimation of chlorophyll, carotenoid and anthocyanin content in apple fruit , 2003 .