On-tree indexing of ‘Hass’ avocado fruit by non-destructive assessment of pulp dry matter and oil content

Ncama, Khayelihle; Magwaza, Lembe Samukelo; Poblete-Echeverría, Carlos; Nieuwoudt, Hélène; Tesfay, S.Z.; Mditshwa, Asanda

doi:10.1016/j.biosystemseng.2018.06.011

Cited by 26 publications

(16 citation statements)

References 44 publications

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“…However, no significant variations were observed in developed calibration models at the afore-mentioned temperatures. Similar observations were reported by Ncama et al (2018) using the same instrument. Thus, the results reported herein were on calibration models developed at 20°C.…”

Section: Visible-near Infrared (Vis-nir) Spectra Collectionsupporting

confidence: 90%

Rapid visible–near infrared (Vis–NIR) spectroscopic detection and quantification of unripe banana flour adulteration with wheat flour

et al. 2019

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Unripe banana flour is a premium nutritious product with a potential to curb degenerative diseases through resistant starch and gluten free traits, however, with scant techniques to monitor adulteration practices. The objective of the present study was to determine the efficacy of visible-near infrared spectroscopy (Vis-NIR) spectroscopy (Vis-NIRS) in the detection and quantification of unripe banana flour adulteration with wheat flour. To do this, simulated adulteration of a composite banana flour was performed with different levels of wheat flour, in intervals of 20 g kg -1 , ranging from 0 to 800 g kg -1 . Each level was acquired in duplicate giving a total of 82 samples. Vis-NIR spectral data was acquired using a portable F-750 spectrometer in the range 447-1005 nm. Spectral data was analysed chemometrically using principle components analysis and partial least squares regression (PLSR), with 41 samples used as a calibration set and 41 for validation. The first two principal components accounted for 95% of spectral data variation, revealing five distinct clusters related to 0 g kg -1 , 20-200 g kg -1 , 220-400 g kg -1 , 420-600 g kg -1 and 620-800 g kg -1 adulterated samples. The best PLSR model to predict wheat flour adulteration degrees in unripe banana flour was obtained using 2nd derivative Savitzky-Golay (19-point smoothing, 2nd order polynomial), showing the highest R c 2 (0.991); R p 2 (0.993); RPD (12.021) and the lowest RMSEC (2.226 g kg -1 ) and RMSEP (1.993 g kg -1 ) values. The obtained Vis-NIRS PLSR models therefore demonstrated the technology novelty in monitoring unripe banana flour quality by the processing industries and in retail markets during product verification. Keywords Rapid detection Á Unripe banana flour Á Nondestructive technology Á Chemometrics Á Principal component analysis (PCA) Á Partial least squares regression (PLSR)

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Section: Visible-near Infrared (Vis-nir) Spectra Collectionsupporting

confidence: 90%

Rapid visible–near infrared (Vis–NIR) spectroscopic detection and quantification of unripe banana flour adulteration with wheat flour

et al. 2019

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“…The NIR technique associated with chemometrics (PLS algorithm) allowed us to elaborate predictive models for the conventional ripening parameters [45]. Particular mention has to be made in this paragraph to the use of hyperspectral imaging systems (HSI) and scanner cameras [5,8,60,67,81,109,112,126,129,143,144,148]. Hyperspectral imaging is a complex, highly multidisciplinary field that can be defined as the simultaneous acquisition of spatial images in many spectrally contiguous bands.…”

Section: Process Control Authenticity and Classification Studiesmentioning

confidence: 99%

Review: NIR Spectroscopy as a Suitable Tool for the Investigation of the Horticultural Field

Cattaneo

Stellari

2019

Agronomy

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The last 10 years of knowledge on near infrared (NIR) applications in the horticultural field are summarized. NIR spectroscopy is considered one of the most suitable technologies of investigation worldwide used as a nondestructive approach to monitoring raw materials and products in several fields. There are different types of approaches that can be employed for the study of key issues for horticultural products. In this paper, an update of the information collected from the main specific International Journals and Symposia was reported. Many papers showed the use of NIR spectroscopy in the horticultural field, and the literature data were grouped per year, per product, and per application, such as studies of direct (chemical composition) and indirect (physical and sensorial) properties (P), process control (PC), and authenticity and classification studies (AC). A mention was made of a recent innovative approach that considers the contribution of water absorption in the study of biological systems.

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“…A number of non-destructive techniques have been developed to assess avocado quality in a broader sense. For instance, near infrared spectroscopy (NIRS) has been shown with variable success to predict maturity or oil content in avocado (Olarewaju et al 2016, Ncama et al, 2018. Impulse response techniques (vibrometry) has been used to evaluate texture of several other commodities e. g. pear and grape, (Oveisi et al, 2014, Zhang et al, 2015, Trnka et al, 2016.…”

Section: Introductionmentioning

confidence: 99%

Non-destructive discrimination of avocado fruit ripeness using laser Doppler vibrometry

Landahl

Terry

2020

Biosystems Engineering

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Consumers increasingly desire ready-to-eat avocado fruit, yet if suppliers fall short of customer expectations, complaints follow incurring considerable cost and waste. In the avocado sector, wastage due to destructive testing and inaccurate assessment of firmness is significant. The aim of this study was to evaluate whether non-destructive laser Doppler vibrometry (LDV) was capable of assessing avocado ripeness. Data were sourced from two trials using preclimacteric imported 'Hass' avocado fruit originating from Chile and Spain, ripened at 12 and 18 °C, respectively. Standard force-deformation measurements, and either single or simultaneous dual vibration time signals were recorded during shelf-life, and assessed against respiration and nonstructural carbohydrate content. Resonant frequencies measured of fruit by means of LDV decreased two-to four-fold during ripening and this corresponded with a concomitant decrease in firmness (253 N to 2 N). The capability of the LDV system to non-destructively discriminate between ripeness stages was demonstrated.

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On-tree indexing of ‘Hass’ avocado fruit by non-destructive assessment of pulp dry matter and oil content

Cited by 26 publications

References 44 publications

Rapid visible–near infrared (Vis–NIR) spectroscopic detection and quantification of unripe banana flour adulteration with wheat flour

Rapid visible–near infrared (Vis–NIR) spectroscopic detection and quantification of unripe banana flour adulteration with wheat flour

Review: NIR Spectroscopy as a Suitable Tool for the Investigation of the Horticultural Field

Non-destructive discrimination of avocado fruit ripeness using laser Doppler vibrometry

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