Cherry-Meter: an innovative non-destructive (vis/NIR) device for cherry fruit ripening and quality assessment

Nagpala, Ellaine Grace; Noferini, M.; Farneti, Brian; Piccinini, Lívia Teresinha Salomão; Costa, Guglielmo

doi:10.17660/actahortic.2017.1161.78

Cited by 22 publications

(31 citation statements)

References 6 publications

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“…Vitis vinifera (Tuccio et al, 2011;Giovenzana et al, 2014), and Prunus avium (Nagpala et al, 2013). It is noteworthy that blueberry healthy or It is important to point out that, for both cultivars, the relationship between I AD data and SSC was even lower than those detected between I AD and ANTH concentration (Table 3).…”

Section: Resultsmentioning

confidence: 88%

“…Despite the interesting advances about this topic, the use of vis/NIR spectrophotometry to non-destructively for the in-situ estimation of blueberry fruit maturity and quality has been scarcely explored (Guidetti et al, 2009 (Ziosi et al, 2008;Bonora et al, 2013Bonora et al, , 2014Nagpala et al 2013). The I AD has been recognized as a potential suitable harvest index to in-situ monitoring fruit maturation in some cultivars of peaches (Bonora et al, 2013(Bonora et al, , 2014(Bonora et al, , 2015, plums (Infante et al, 2011), and apples (Nyasordzi et al, 2013), among others fruit species.…”

Section: Several Agronomic and Physiological Factors Canmentioning

confidence: 99%

“…The I AD has been recognized as a potential suitable harvest index to in-situ monitoring fruit maturation in some cultivars of peaches (Bonora et al, 2013(Bonora et al, , 2014(Bonora et al, , 2015, plums (Infante et al, 2011), and apples (Nyasordzi et al, 2013), among others fruit species. Lately, this device has been recently tested for the prediction of cherry maturity through the estimation of fruit skin anthocyanin, with very promising results (Nagpala et al, 2013).…”

Section: Several Agronomic and Physiological Factors Canmentioning

confidence: 99%

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Non-destructive Assessment of Highbush Blueberry Fruit Maturity Parameters and Anthocyanins by Using a Visible/Near Infrared (vis/NIR) Spectroscopy Device: A Preliminary Approach

Ribera-Fonseca

Noferini²,

Rombolà

2016

J. Soil Sci. Plant Nutr.

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We evaluate the use of a portable and non-invasive technology based on visible and near infrared (vis/NIR) spectroscopy (Cherry-Meter) for monitoring fruit maturity parameters and anthocyanins in two highbush blueberry (Vaccinium corymbosum L.) cultivars (Misty and Sharpblue). This device measures an Index of Absorbance Difference (I AD ), which showed high correlations with fruit quality parameters in other fruit crops. We found positive but differential correlations between I AD values and fruit anthocyanins, which was higher for Misty (r = 0.970, p≤0.01) than for Sharpblue (r = 0.714, p>0.05). Interestingly, Cherry-Meter measurements were also correlated with solid soluble concentrations (r = 0.685, p≤0.01) and fruit firmness (r = -0.714, p≤0.01), but only in Sharpblue. For both cultivars, I AD values were also significantly (p≤0.01) related with fruit FW (0.447 for Sharpblue and 0.559 for Misty). The High Performance Liquid Chromatography (HPLC) data indicated that I AD variations were associated with significant changes in single berry anthocyanidins levels. These findings are the first approach, highlighting the potentialities of Cherry-Meter for the non-destructive assessment of fruit maturity and anthocyanidin profile in blueberries.

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Section: Resultsmentioning

confidence: 88%

Section: Several Agronomic and Physiological Factors Canmentioning

confidence: 99%

Section: Several Agronomic and Physiological Factors Canmentioning

confidence: 99%

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Non-destructive Assessment of Highbush Blueberry Fruit Maturity Parameters and Anthocyanins by Using a Visible/Near Infrared (vis/NIR) Spectroscopy Device: A Preliminary Approach

Ribera-Fonseca

Noferini²,

Rombolà

2016

J. Soil Sci. Plant Nutr.

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“…Light is detected by a photodiode positioned centrally to a diode crown, and is converted to a digital signal through an analogue to digital converter. I AD is obtained from the differences of the absorbance between two wavelengths for anthocyanin (560 and 640 nm) and the reference value at 750 nm [3].…”

Section: The Da-metermentioning

confidence: 99%

“…), and thus they are not applicable to the entire harvest, but only to a small subset of fruits used as a statistical sample. Because the ripening dynamics on-tree can significantly diverge based on the fruit position within the canopy or on the position of the tree in the orchard, even in case of multiple harvest dates performed over a wide harvest window, the fruit batch should be considered heterogeneous [1][2][3][4][5]. A deeper and more precise knowledge of the ripening degree, obtained using a strict protocol and proper devices, could help by segregating the fruit into more uniform groups that each could then be managed with the best storage and marketing strategies.…”

Section: Introductionmentioning

confidence: 99%

Use of Nondestructive Devices to Support Pre- and Postharvest Fruit Management

et al. 2016

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Fruit quality is greatly affected by the ripening stage at harvest. In order to preserve quality traits, increase product marketability, and extend both the storage time and the shelf life, it is crucial to tailor postharvest strategies to ripening and physiological stages, and these need to be determined precisely. Surveying instruments working with modern technologies such as visible spectrometry can be precise and effective in assessing ripening stage and in grouping fruit in homogeneous classes. This paper reviews results using original nondestructive devices developed at the University of Bologna to define the fruit ripening of several fruit species through a new index (Index of Absorbance Difference (I AD )) to compare relationships among fruit ripening stage, fruit quality, and postharvest life. The devices defining the I AD can be used in the field (by the Difference Absorbance (DA)-Meter), at the packinghouse (with the DA-head, a stationary device), and at the cold storage level (with the DA Fruit Logger (DAFL)).

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Methods for quality evaluation of sweet cherry

Ricardo‐Rodrigues

Laranjo

2022

J Sci Food Agric

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Sweet cherry (Prunus avium L.) is a highly valued fruit, whose quality can be evaluated using several objective methodologies, such as calibre, colour, texture, soluble solids content (SSC), titratable acidity (TA), as well as maturity indexes. Functional and nutritional compounds are also frequently determined, in response to consumer demand. The aim of the present review is to clarify and establish quality evaluation parameters and methodologies for the whole cherry supply chain, in order to promote easy and faithful communication among all stakeholders. The use of near-infrared spectroscopy (NIRS) as a non-destructive and expeditious method for assessing some quality parameters is discussed. In this review, the results of a wide survey to assess the most common methodologies for cherry quality evaluation, carried out among cherry researchers and producers within the framework of the COST Action FA1104 'Sustainable production of high-quality cherries for the European market', are also reported. The standardisation of quality evaluation parameters is expected to contribute to the preservation and shelf-life extension of sweet cherries, and the valorisation of the whole supply chain. For future studies on sweet cherry, we put forward a proposal regarding both sample size and the tests chosen to evaluate each parameter.

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Cherry-Meter: an innovative non-destructive (vis/NIR) device for cherry fruit ripening and quality assessment

Cited by 22 publications

References 6 publications

Non-destructive Assessment of Highbush Blueberry Fruit Maturity Parameters and Anthocyanins by Using a Visible/Near Infrared (vis/NIR) Spectroscopy Device: A Preliminary Approach

Non-destructive Assessment of Highbush Blueberry Fruit Maturity Parameters and Anthocyanins by Using a Visible/Near Infrared (vis/NIR) Spectroscopy Device: A Preliminary Approach

Use of Nondestructive Devices to Support Pre- and Postharvest Fruit Management

Methods for quality evaluation of sweet cherry

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