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Optical test could ensure perfect avocado ripeness

06 May 2020

Optical and vibration assessment method developed at Cranfield University could cut wastage by 10%.

A technique for measuring the ripeness of avocados could reduce waste by up to 10% and help fulfil consumer demand for ready-to-eat fruit. Developed and tested by Cranfield University, UK, the technology uses a laser and small vibration to test the individual fruits' resonant frequency, giving a reliable assessment of ripeness without damaging the avocado.

Up to 30% of avocado fruit are currently wasted due to damage caused by testing during grading, with a further 5% loss at retail. The current way to test ripeness is through a pneumatic device, which pushes into the fruit, or manual testing.

Cranfield University adapted a technology more often used in automotive factories to test the uniformity of large engineered parts. Laser Doppler vibrometry (LDV) beams a laser at the fruit to measure refracted light and uses small vibrations to test the resonant frequency.

The vibrations are caused by a simple automated impact device which taps the fruit. The LDV test was proven to accurately predict the ready-to-eat stage of avocado fruit. The work is reported in the paper, Non-destructive discrimination of avocado fruit ripeness using laser Doppler vibrometry, in Biosystems Engineering.

'Potential for testing other fruits'

Professor Leon Terry, Director of Environment and Agrifood at Cranfield University, said: "Hard fruits create a higher frequency than soft fruits, so we calculated the perfect frequency for a ripe avocado and accurately measured this with the LDV test. Leaving the fruit undamaged is of great benefit and vastly reduces waste. The test we have developed could be extended to other fruits."

With the UK importing nearly 100,000 tonnes of avocados a year and the fruit increasingly in demand, predicting ripeness is of great benefit to suppliers and retailers. An expensive product, the avocados travel on conveyor belts in single file, which means the LDV can test them individually. From there, an automatic sorting mechanism which largely exists already could be used to separate the ripe from unripe fruits.

Research Fellow Dr. Sandra Landahl added: "We tested the accuracy of LDV on a real factory line, under lab conditions, and the method has real potential, giving accurate measures of ripeness without damaging fruit. If developed, a simple 'traffic light' system could sort the fruit into those that are ripe, for discard or for storage, helping industry tackle food waste at this point in the supply chain."

Cranfield University is co-leading the new BBSRC Quality and Food Loss Network, a new initiative to link researchers with industry to find solutions for the huge food waste challenges facing the supply chain.

Paper abstract

The Biosystems Engineering paper abstract states, "Consumers increasingly desire ready-to-eat avocado fruit, yet if supplies 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 non-structural carbohydrate content. Resonant frequencies measured from fruit by means of LDV decreased two- to four-fold during ripening and this corresponded with a concomitant decrease in firmness. The capability of the LDV system to non-destructively discriminate between ripeness stages was demonstrated."

Synopsys, Optical Solutions GroupSacher Lasertechnik GmbHAlluxaBerkeley Nucleonics CorporationPhoton Lines LtdECOPTIKHyperion Optics
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