Non-destructive prediction of sweetness of intact mango using near infrared spectroscopy

Abstract Agriculture industries are continuously in search of new user friendly technologies to evaluate the intrinsic properties of fruits before it is put in the market for the consumer. In the current study the potential of near-infrared (NIR) spectroscopy in the wavelength range of 1200–2200 nm was evaluated to determine total soluble solids and pH for seven major cultivars of mangoes from seven states of India. NIR models were developed based on multiple-linear regression (MLR) and partial least square (PLS) regression employing preprocessing technologies (baseline correction, smoothening, multiplicative scatter correction (MSC) and second order derivatisation). The multiple correlation coefficients for calibration and validation were found to be 0.782 and 0.762 for total soluble solids and 0.715 and 0.703 for pH respectively. The standard errors of calibration, prediction, biases and differences in them were low which indicated the NIRS potential to predict internal quality parameters (TSS and pH) of mango non-destructively for both models.

[1]  Shyam Narayan Jha,et al.  Modeling of color values for nondestructive evaluation of maturity of mango , 2007 .

[2]  G. G. Dull,et al.  Near Infrared Spectrophotometric Determination of Individual Sugars in Aqueous Mixtures , 1986 .

[3]  Shyam Narayan Jha,et al.  Authentication of sweetness of mango juice using Fourier transform infrared-attenuated total reflection spectroscopy. , 2010 .

[4]  G. S. Birth,et al.  INSTRUMENT FOR NONDESTRUCTIVE MEASUREMENT OF SOLUBLE SOLIDS IN HONEYDEW MELONS , 1990 .

[5]  G. S. Birth,et al.  Nondestructive Spectrophotometric Determination of Dry Matter in Onions , 1985, Journal of the American Society for Horticultural Science.

[6]  Shyam Narayan Jha,et al.  Determination of sweetness of intact mango using visual spectral analysis , 2005 .

[7]  G. Zauberman,et al.  CHANGES IN AMYLASE ACTIVITY, STARCH AND SUGARS CONTENTS IN MANGO FRUIT PULP , 1980 .

[8]  William E. Cox,et al.  Soil Erosion and Sedimentation: Analysis of Applicable Law , 1978 .

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

[10]  Shyam Narayan Jha,et al.  Physical and mechanical properties of mango during growth and storage for determination of maturity , 2006 .

[11]  S. Jha,et al.  Surface stiffness and density of eggplant during storage , 2002 .

[12]  D. Slaughter.  Nondestructive Determination of Internal Quality in Peaches and Nectarines , 1995 .

[13]  Sumio Kawano,et al.  Prediction of ripe-stage eating quality of mango fruit from its harvest quality measured nondestructively by near infrared spectroscopy , 2004 .

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

[15]  Shyam Narayan Jha,et al.  Non‐destructive determination of acid–brix ratio of tomato juice using near infrared spectroscopy , 2004 .

[16]  P. Williams,et al.  Near-Infrared Technology in the Agricultural and Food Industries , 1987 .

[17]  Marie-France Destain,et al.  Measurement of tomato firmness by using a non-destructive mechanical sensor , 1996 .

[18]  Kerry B. Walsh,et al.  Non-invasive assessment of pineapple and mango fruit quality using near infra-red spectroscopy , 1997 .

[19]  M. Peter,et al.  Sensory attributes, microbial quality and aroma profiles of off vine ripened mango (Mangifera indica L.) fruit , 2006 .

[20]  Amos Nussinovitch,et al.  Gloss of fruits and vegetables , 1996 .

[21]  Koro Kato,et al.  Electrical Density Sorting and Estimation of Soluble Solids Content of Watermelon , 1997 .

[22]  J. B. Magee,et al.  Predicting Concentrations of Individual Sugars in Dry Mixtures by Near-Infrared Reflectance Spectroscopy , 1981 .

[23]  Ashutosh Kumar Singh,et al.  Prediction of Sensory Profile of Mango Using Textural Attributes During Ripening , 2013, Food and Bioprocess Technology.

[24]  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.

[25]  Y. Ozaki,et al.  An Overview of Research and Development of near Infrared Spectroscopy in Japan , 1995 .

[26]  Essex E. Finney,et al.  Determination of Moisture in Corn Kernels by Near-Infrared Transmittance Measurements , 1978 .

[27]  S. Jha,et al.  Non-destructive prediction of quality of intact apple using near infrared spectroscopy , 2010, Journal of food science and technology.

[28]  Shyam Narayan Jha,et al.  Non-destructive prediction of quality of intact banana using spectroscopy , 2012 .

[29]  Shyam Narayan Jha,et al.  Non-destructive Determination of Firmness and Yellowness of Mango during Growth and Storage using Visual Spectroscopy , 2006 .

[30]  Richard G. Leffler,et al.  Near Infrared Analysis of Soluble Solids in Intact Cantaloupe , 1989 .

[31]  A. Medlicott,et al.  Harvest Maturity and Concentration and Exposure Time to Acetylene Influence Initiation of Ripening in Mangos , 1990 .

[32]  S. Jha,et al.  Post-harvest micro-flora on major cultivars of Indian mangoes. , 2010 .