Near Infrared Analysis of Soluble Solids in Intact Cantaloupe

Dull, Gerald G.; Birth, Gerald S.; Smittle, D. A.; Leffler, Richard G.

doi:10.1111/j.1365-2621.1989.tb03090.x

Cited by 110 publications

(53 citation statements)

References 9 publications

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“…Near infra-red spectroscopy has been used to noninvasively assess DM in onions (Birth et al 1985), soluble solids in intact cantaloupe (Dull et al 1989), peach (Kawano et al 1992), mandarin ) and pineapple fruit (Shiina et al 1993), and sugar content, acidity and hardness of plum fruit (Onda et al 1994). Commercial (Mitsui Mining Corp., Omiya and Maki Manufacturing Co., Hamamatsu) in-line NIR spectroscopy units are used in Japanese packing sheds to assess the sweetness, ripeness and acidity of thin-skinned simple temperate fruit (citrus, apples, pears and peaches) at 3 pieces per second per lane (Kawano 1994).…”

Section: Discussionmentioning

confidence: 99%

“…A reference spectrum (mean of 50 scans) was obtained using teflon as the reference before collection of each sample spectrum. Teflon is reported to have low absorption and similar lightscattering characteristics to plant material (Birth et al 1985;Dull et al 1989;Kawano et al 1992, using onion, cantaloupe and peach, respectively) and is therefore used to assess 'incident' light intensity relative to that reflected from the sample surface.…”

Section: Methodsmentioning

confidence: 99%

“…to accommodate thickness of the object in transmission studies). Dull et al (1989) developed a calibration for Brix in cantaloupe which used equation 2, whereas Kawano et al (1992) used equation 1 in a calibration for Brix in peach. Again the optimal data treatment is expected to vary between fruit types and must be decided for the fruit of interest.…”

Section: Pineapplementioning

confidence: 99%

See 2 more Smart Citations

Non-invasive assessment of pineapple and mango fruit quality using near infra-red spectroscopy

Guthrie¹,

Walsh²

1997

Aust. J. Exp. Agric.

113

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Section: Discussionmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Pineapplementioning

confidence: 99%

See 1 more Smart Citation

Non-invasive assessment of pineapple and mango fruit quality using near infra-red spectroscopy

Guthrie¹,

Walsh²

1997

Aust. J. Exp. Agric.

113

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“…A grating is the usual choice for the dispersive element, blazed at a wavelength in the NIR to maximise the efficiency of light transmission in this range, although the spectrometer used by Dull et al (1989Dull et al ( , 1992; to assess melon soluble solids content) and Peiris et al (1998; to assess peach soluble solids content) utilised an AOTF as the dispersive element. The detector is usually either a silicon PDA [as in the Zeiss MMS1, as used by Osborne et al (1999); and the Oriel Instaspec 2, as used by Bellon-Maurel and Vigneau (1995)], or a linear CCD array [as in the Ocean Optics S1000, as used by Mowat and Poole (1997)].…”

Section: Introductionmentioning

confidence: 99%

Application of commercially available, low-cost, miniaturised NIR spectrometers to the assessment of the sugar content of intact fruit

Walsh

Guthrie²,

Burney³

2000

Functional Plant Biol.

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Abbreviations used: AOTF, acousto-optical tuneable filter; CCD, charge-coupled device; D, distance between the centre of the illuminated area and the detected area of the fruit; FWHM, full width at half maximum; InGaAs, indium gallium arsenide; IR, infra-red; MPLS, modified partial least squares; NIRS, near infra-red spectroscopy; PDA, photodiode array; R, decrease in detector response; R c 2 , regression coefficient of predicted on actual Brix for the calibration set; SEC, standard error of calibration; SECV, standard error of cross validation; SNV, standard normal variance; VR, variance ratio. Abstract. Recent decreases in costs, and improvements in performance, of silicon array detectors open a range of potential applications of relevance to plant physiologists, associated with spectral analysis in the visible and shortwave near infra-red (far-red) spectrum. The performance characteristics of three commercially available 'miniature' spectrometers based on silicon array detectors operating in the 650-1050-nm spectral region (MMS1 from Zeiss, S2000 from Ocean Optics, and FICS from Oriel, operated with a Larry detector) were compared with respect to the application of non-invasive prediction of sugar content of fruit using near infra-red spectroscopy (NIRS). The FICS-Larry gave the best wavelength resolution; however, the narrow slit and small pixel size of the charge-coupled device detector resulted in a very low sensitivity, and this instrumentation was not considered further. Wavelength resolution was poor with the MMS1 relative to the S2000 (e.g. full width at half maximum of the 912 nm Hg peak, 13 and 2 nm for the MMS1 and S2000, respectively), but the large pixel height of the array used in the MMS1 gave it sensitivity comparable to the S2000. The signal-to-signal standard error ratio of spectra was greater by an order of magnitude with the MMS1, relative to the S2000, at both near saturation and low light levels. Calibrations were developed using reflectance spectra of filter paper soaked in range of concentrations (0-20% w/v) of sucrose, using a modified partial least squares procedure. Calibrations developed with the MMS1 were superior to those developed using the S2000 (e.g. coefficient of correlation of 0.90 and 0.62, and standard error of cross-validation of 1.9 and 5.4%, respectively), indicating the importance of high signal to noise ratio over wavelength resolution to calibration accuracy. The design of a bench top assembly using the MMS1 for the non-invasive assessment of mesocarp sugar content of (intact) melon fruit is reported in terms of light source and angle between detector and light source, and optimisation of math treatment (derivative condition and smoothing function).

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“…Hence, nondestructive and rapid technique would be highly desirable. matter of a number of fruit and vegetable products including cantaloupe (Dull et al, 1989), citrus (Kawano et al, 1993), peach and nectarine (Slaughter, 1995), apple (Ventura et al, 1998), kiwifruit (Schaare and Martinsen, 1998), and mango (Saranwong et al, 2003). The potential of NIR spectroscopy as a nondestructive measurement technique was also evaluated for measuring texture parameter such as firmness of Jonagold apple (Lammertyn et al, 1998) and mango (Schilovitch et al, 2000).…”

mentioning

confidence: 99%

Near Infrared Transmittance Method for Nondestructive Determination of Soluble Solids Content in Growing Tomato Fruits

Khuriyati

Matsuoka

2004

ecb

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In soilless culture, control of nutrient solution is very important for production of the high quality tomato fruits. The control will be efficient by taking the information of internal properties of growing fruits into account.Therefore, nondestructive measurement method for these properties is highly required.Nondestructive near infrared (NIR) methods have already been used effectively in many crops such as mango, apple, peach, however, no studies have been reported on growing tomato fruit. In addition, tomato fruit has a great variation in internal structure that consists of flesh and pulp. It causes ununiformity in texture and chemical compositions within a fruit and hence significantly affects NIR spectra. Therefore, specially assembled NIR instrument is required for accurate nondestructive determination of constituents in the fruit. Three halogen lamps as a light source of the instrument illuminated almost the whole fruit surface from the upper side. Then the spectrum of transmitted light through the bottom of the sample was measured by spectrometer. The performance of this instrument was investigated by developing calibration model for determination of the soluble solids content (SSC) in the whole fruit from the spectrum. This method successfully determined the SSC of tomato fruits with correlation coefficient between predicted and actual values (r) of 0.91, standard error of performance (SEP) of 0.73%, and bias of 0.17%.

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Near Infrared Analysis of Soluble Solids in Intact Cantaloupe

Cited by 110 publications

References 9 publications

Non-invasive assessment of pineapple and mango fruit quality using near infra-red spectroscopy

Non-invasive assessment of pineapple and mango fruit quality using near infra-red spectroscopy

Application of commercially available, low-cost, miniaturised NIR spectrometers to the assessment of the sugar content of intact fruit

Near Infrared Transmittance Method for Nondestructive Determination of Soluble Solids Content in Growing Tomato Fruits

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