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Plant sciences, sustainable farming systems and food quality
RESEARCH ARTICLE

Assessment of internal quality attributes of mandarin fruit. 1. NIR calibration model development

J. A. Guthrie A B C , K. B. Walsh B , D. J. Reid A and C. J. Liebenberg B
+ Author Affiliations
- Author Affiliations

A Delivery, Queensland Department of Primary Industries and Fisheries, PO Box 6014, CQ Mail Centre, Rockhampton, Qld 4702, Australia.

B Plant Sciences Group, Central Queensland University, Rockhampton, Qld 4702, Australia.

C Corresponding author. Email: john.guthrie@dpi.qld.gov.au

Australian Journal of Agricultural Research 56(4) 405-416 https://doi.org/10.1071/AR04257
Submitted: 3 November 2004  Accepted: 23 February 2005   Published: 26 April 2005

Abstract

The utility of near infrared spectroscopy as a non-invasive technique for the assessment of internal eating quality parameters of mandarin fruit (Citrus reticulata cv. Imperial) was assessed. The calibration procedure for the attributes of TSS (total soluble solids) and DM (dry matter) was optimised with respect to a reference sampling technique, scan averaging, spectral window, data pre-treatment (in terms of derivative treatment and scatter correction routine) and regression procedure. The recommended procedure involved sampling of an equatorial position on the fruit with 1 scan per spectrum, and modified partial least squares model development on a 720–950-nm window, pre-treated as first derivative absorbance data (gap size of 4 data points) with standard normal variance and detrend scatter correction. Calibration model performance for the attributes of TSS and DM content was encouraging (typical Rc2 of >0.75 and 0.90, respectively; typical root mean squared standard error of calibration of <0.4 and 0.6%, respectively), whereas that for juiciness and total acidity was unacceptable. The robustness of the TSS and DM calibrations across new populations of fruit is documented in a companion study.

Additional keywords: spectral window, non-invasive.


Acknowledgments

Funding support was received from Horticulture Australia (Citrus Marketing and Development Group) and Central Queensland University-Research Training Scheme. Fruit was supplied by Steve Benham of Joey Citrus, Munduberra, and by Jim and Deslea Yeldham, Citrus Farm, Dululu, Qld. This manuscript represents an extension of work reported at the 10th International Conference of Near Infrared Spectroscopy, Konju, Korea, June 2001.


References


Fearn T (1996) Comparing standard deviations. NIR News 7, 5–6. open url image1

Golic M, Walsh KB, Lawson P (2003) Short-wavelength near-infrared spectra of sucrose, glucose, and fructose with respect to sugar concentration and temperature. Applied Spectroscopy 57, 139–145.
Crossref | GoogleScholarGoogle Scholar | PubMed | open url image1

Greensill CV, Walsh KB (1999) Optimisation of instrumentation precision and wavelength resolution for the performance of NIR calibrations of sucrose in a water-cellulose matrix. Applied Spectroscopy 41, 426–430. open url image1

Greensill CV, Walsh KB (2000) A remote acceptance probe and illumination configuration for spectral assessment of internal attributes of intact fruit. Measurement Science and Technology 11, 1674–1684.
Crossref | GoogleScholarGoogle Scholar | open url image1

Greensill CV, Walsh KB (2002) Calibration transfer between miniature photodiode array-based spectrometers in the near infrared assessment of mandarin soluble solids content. Journal of Near Infrared Spectroscopy 10, 27–35. open url image1

Guthrie JA, Walsh KB (1997) Non-invasive assessment of pineapple and mango fruit quality using near infra-red spectroscopy. Australian Journal of Experimental Agriculture 37, 253–263.
Crossref | GoogleScholarGoogle Scholar | open url image1

Kawano S (1994) Non-destructive NIR quality evaluation of fruits and vegetables in Japan. NIR News 5, 10–12. open url image1

Kawano S, Fujiwara T, Iwamoto M (1993) Non-destructive determination of sugar content in Satsuma Mandarin using near infrared (NIR) transmittance. Journal of the Japanese Society for Horticultural Science 62, 465–470. open url image1

McGlone VA, Fraser DG, Jordan RB, Kunnemeyer R (2003) Internal quality assessment of mandarin fruit by vis/NIR spectroscopy. Journal of Near Infrared Spectroscopy 11, 323–332. open url image1

McGlone VA, Kawano S (1998) Firmness, dry-matter and soluble-solids assessment of postharvest kiwifruit by NIR spectroscopy. Postharvest Biology and Technology 13, 131–141.
Crossref | GoogleScholarGoogle Scholar | open url image1

Miyamoto K, Kawauchi M, Fukuda T (1998) Classification of high acid fruits by partial least squares using the near infrared transmittance spectra of intact satsuma mandarins. Journal of Near Infrared Spectroscopy 6, 267–271. open url image1

Miyamoto K, Kitano Y (1995) Non-destructive determination of sugar content in satsuma mandarin fruit by near infrared transmittance spectroscopy. Journal of Near Infrared Spectroscopy 3, 227–237. open url image1

Onda T, Tsuji M, Komiyama Y (1994) Possibility of nondestructive determination of sugar content, acidity and hardness of plum fruit by near infrared spectroscopy. Journal of the Japanese Society for Food Science and Technology 41, 908–912. open url image1

Ou AS, Lin S, Lin T, Wu S, Tiarn M (1997) Studies on the determination of quality-related constituents in Ponkan Mandarin by near infrared spectroscopy. Journal of the Chinese Agricultural Chemical Society 35, 462–474. open url image1

Peiris KHS, Dull GG, Leffler RG, Burns JK, Thai CN, Kays SJ (1998) Non-destructive detection of section drying, an internal disorder in Tangerine. HortScience 33, 310–312. open url image1

Peiris KHS, Dull GG, Leffler RG, Kays SJ (1999a) Rapid, nondestructive method for determination of processed soluble solids in intact unprocessed tomato fruit using near infrared spectrometry. Acta Horticulturae 487, 413–417. open url image1

Peiris KHS, Dull GG, Leffler RG, Kays SJ (1999b) Spatial variability of soluble solids or dry-matter content within individual fruits, bulbs, or tubers: implications for the development and use of NIR spectrometric techniques. HortScience 34, 114–118. open url image1

Schmilovitch Z, Mizrach A, Hoffman A, Egozi H, Fuchs Y (2000) Determination of mango physiological indices by near-infrared spectrometry. Postharvest Biology and Technology 19, 245–252.
Crossref | GoogleScholarGoogle Scholar | open url image1

Shenk, JS ,  and  Westerhaus, MO (1993). ‘Analysis of agriculture and food products by near infrared reflectance spectroscopy’. (Infrasoft International, LLC, Infrasoft International: Port Matilda, PA)

Shiina T, Ijiri T, Matsuda I, Sato T, Kawano S, Ohoshiro N (1993) Determination of brix value and acidity in pineapple fruits by near infrared spectroscopy. Acta Horticulturae 334, 261–272. open url image1

Sohn MR, Park KS, Cho SI (2000) Near infrared reflectance spectroscopy for non-invasive measuring of internal quality of apple fruit. Near Infrared Analysis 1, 27–30. open url image1

Walsh KB, Golic M, Greensill CV (2004) Sorting of fruit using near infrared spectroscopy: application to a range of fruit and vegetables for soluble solids and dry matter content. Journal of Near Infrared Spectroscopy 12, 141–148. open url image1

Walsh KB, Guthrie JA, Burney J (2000) Application of commercially available, low-cost, miniaturised NIR spectrometers to the assessment of the sugar content of intact fruit. Australian Journal of Plant Physiology 27, 1175–1186. open url image1