Skip to main content
SpringerLink
Log in

Non-destructive prediction of quality of intact apple using near infrared spectroscopy

  • Original Article
  • Published:
Journal of Food Science and Technology Aims and scope Submit manuscript

Abstract

Potential of near infrared spectroscopy (NIRS) in the wavelength range of 900–1700 nm for determination of sweetness (total soluble solids, TSS); sourness (acidity) and their ratio for 5 cultivars of apple was studied. Partial least square and multiple linear regression (MLR) employing pre-processing techniques were carried out. MLR models were found to be the best for prediction after treating the spectral data with multiple scatter correction technique. The multiple correlation coefficients for calibration and validation were found to be 0.887, 0.745 °Brix for TSS, 0.890, 0.752 % for acidity and 0.893, 0.751 for acidity/TSS ratio, respectively. The standard errors of calibration, prediction, biases and differences in them were low, which indicated that NIRS has potential to predict internal quality of apple non-destructively.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  • Aneshansley DJ, Throop JA, Upchurch BL (1997) Reflectance spectra of surface defects on apples. Sensors for nondestructive testing of apples. In: Proc of Sensors for Non-destructive Testing. Int Conference; Orlando, Fla.; Feb 18–21, Ithaca, NY, Northeast Regional Agric Eng Service Cooperative Extension, p 143–160

  • AOAC (1990) Official methods of analysis. 14th edn, Association of Official Analytical Chemists, Washington DC

    Google Scholar 

  • Bellon V, Sevila S (1993) Optimization of a nondestructive system for on-line infrared measurement of fruit internal quality. In: Proc 4th Int Symp Fruit, Nut and Vegetable Production Engineering, Zaragoza, Spain, p 317–325

  • Iwamoto M, Kawano S, Ozaki Y (1995) An overview of research and development of near infrared spectroscopy in Japan. J Near Infrared Spectroscopy 3:179–189

    Article  CAS  Google Scholar 

  • Jha SN, Matsuoka T (2004) Non-destructive determination of acid-brix ratio of tomato juice using near infrared spectroscopy. Int J Food Sci Technol 39:425–430

    Article  CAS  Google Scholar 

  • Jha SN, Chopra S, Kingsly ARP (2005) Determination of sweetness of intact mango using visual spectral analysis. Biosyst Eng 91:157–161

    Article  Google Scholar 

  • Jha SN, Kingsly ARP, Chopra S (2006) Non-destructive determination of firmness and yellowness of mango during growth and storage using visual spectroscopy. Biosyst Eng 94:397–402

    Article  Google Scholar 

  • Jha SN, Chopra S, Kingsly ARP (2007) Modelling of colour values for non-destructive evaluation of maturity of mango. J Food Eng 78:22–26

    Article  Google Scholar 

  • Kato K (1997) Electrical density sorting and estimation of soluble solids content of watermelon. J Agric Eng Res 67:161–170

    Article  Google Scholar 

  • Kawano S, Abe H, Iwamoto M (1995) Development of a calibration equation with temperature compensation for determining the brix value in intact peaches. J Near Infrared Spectroscopy 3:211–118

    Article  CAS  Google Scholar 

  • Lammertyn J, Nieolai B, Oomsk Smedt VD, Baerdemaeker JD (1998) Non-destructive measurement of acidity, soluble solids and firmness of Jonagold apples using NIR-spectroscopy. Trans ASAE 41:1089–1094

    Google Scholar 

  • Lesage P, Destain MF (1996) Measurement of tomato firmness by using a non-destructive mechanical sensor. Postharvest Biol Technol 8:45–55

    Article  Google Scholar 

  • Lu R, Ariana D (2002) A Near Infrared sensing technique for measuring internal quality of apple fruit. Appl Eng Agric 18: 585–590

    Google Scholar 

  • Nussinovitch A, Ward G, Mey-Tal E (1996) Gloss of fruits and vegetables. Lebensm Wiss Technol 29:184–186

    Article  CAS  Google Scholar 

  • Saranwong S, Sornsrivichai J, Kawano S (2004) Predictions of ripen stage quality of apple fruit from its harvest quality measured non-destructively by near infrared spectroscopy. Postharvest Biol Technol 31:137–145

    Article  CAS  Google Scholar 

  • Schmilovitch Z, Mizrach A, Hoffman A, Egozi H, Fuchs Y (2000) Determination of apple physiological indices by near infrared spectrometry. Postharvest Biol Technol 19:245–252

    Article  Google Scholar 

  • Ventura M, Jager A, Putter H, Roelofs FPMM (1998) Nondestructive determination of soluble solids in apple fruit by near infrared spectroscopy. Postharvest Biol Technol 14: 21–27

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Agricultural Structures and Environmental Control Division, Central Institute of Post-Harvest Engineering and Technology, Ludhiana, 141 004, India

    S. N. Jha & Ruchi Garg

Authors
  1. S. N. Jha
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Ruchi Garg
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to S. N. Jha.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Jha, S.N., Garg, R. Non-destructive prediction of quality of intact apple using near infrared spectroscopy. J Food Sci Technol 47, 207–213 (2010). https://doi.org/10.1007/s13197-010-0033-1

Download citation

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s13197-010-0033-1

Keywords

Search

Navigation