Use of image analysis for monitoring the dilution of Physalis peruviana pulp

Licodiedoff, Silvana; Ribani, Rosemary Hoffmann; Camlofski, Ana Mery de Oliveira; Lenzi, Marcelo Kaminski

doi:10.1590/s1516-89132013000300015

Cited by 8 publications

(5 citation statements)

References 28 publications

(23 reference statements)

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“…Multivariate Image Regression (MIR) and Multivariate Image Analysis (MIA) are the two most common computational methods for processing color data [95]. The effectiveness of digital image analysis was confirmed by Licodiedoff et al [96], who developed linear models using the image analysis based on RGB system to investigate the dilution of Physalis juice with concentrations ranging from 0 to 100%. Applying the same approach, Stinco Scanarotti et al [97] evaluated the differences in color of orange and mandarin juices from several varieties.…”

Section: Digital Image Analysismentioning

confidence: 99%

Current Techniques for Fruit Juice and Wine Adulterant Detection and Authentication

Mac,

Pham,

et al. 2023

Beverages

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Fruit juice and wine are important beverages that are consumed all over the world. Due to their constantly increasing demand and high value, fruit juice and wine are one of the most frequent targets of adulteration. Since adulterated foods are proven to have harmful effects on health, several approaches have been utilized for the detection of fruit juice and wine adulteration. Based on the requirement for sample destruction, analytical techniques to assess food authenticity can be classified into 2 main categories, i.e., destructive and non-destructive techniques. This paper provides an overview on the principle of adulteration detection, its application and performance, and the advantages and limitations of various analytical techniques. Destructive approaches, such as physicochemical methods, isotope analysis, elemental analysis, chromatographic techniques, and DNA-based techniques, are reviewed. Furthermore, non-destructive approaches, including spectroscopic-based techniques, nuclear magnetic resonance spectroscopic technique, electronic techniques, and imaging-based techniques, are discussed.

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Section: Digital Image Analysismentioning

confidence: 99%

Current Techniques for Fruit Juice and Wine Adulterant Detection and Authentication

Mac,

Pham,

et al. 2023

Beverages

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“…However, to the best of our knowledge, most of the applications of computer vision systems and digital image processing require sampling. Similarly, the color evaluation of fruit juices by all the methods and instruments described before also require sampling, conditioning, dilution, and so forth (Licodiedoff et al, 2013). For example, Bozkir and Baysal (2017) used a color measuring instrument for evaluating the total color difference, chroma difference, and hue angle of apple juice concentrated by three methods of evaporation.…”

Section: Introductionmentioning

confidence: 99%

Novel apparatus for monitoring simultaneously color and °Brix of selected fruit juices through RGB image analysis

Ortiz

Oliveira

Venâncio

et al. 2023

J Food Process Engineering

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This work introduces a novel apparatus for monitoring both color and °Brix of selected fruit juices. These parameters are essential for quality and processing control at concentration and dilution operations. The proposed apparatus performs the red, green, and blue (RGB) image analysis of the fruit juice as it flows through a transparent cell equipped with a webcam and a light source. The viewing cell is inside a box for controlling temperature and for ensuring homogeneous lighting. This apparatus not only measures the RGB color space of the fruit juice online but also allows relating it to the °Brix. The relationship between RGB and °Brix was obtained by measuring the RGB color space of various fruit juice samples, of which the °Brix were previously determined using a digital refractometer. RGB image analysis showed an excellent relationship with °Brix (R2 > 0.99, using an exponential fit), allowing for monitoring reliably this parameter during continuous fruit juice concentration and dilution experiments. These results show the potential of this novel apparatus to substitute conventional instruments such as colorimeters and refractometers for online process monitoring. Furthermore, it has the advantage of not requiring sampling, which reduces measurement errors and saves time.Practical applicationsThis work introduces a novel apparatus based on RGB image analysis for monitoring simultaneously the color and the °Brix of fruit juices. These parameters are important to control the production and quality of fruit juices, especially at concentration and dilution operations. The apparatus proposed here is a viewing cell where the RGB color space is quantified using the software RGBview® as the fruit juice flows through it. The °Brix are determined from the RGB color space using a suitable fit obtained from a previous calibration with juice samples with known °Brix. This is an alternative to conventional analytical instruments such as colorimeters and refractometers but with the advantage of performing an online measurement. This configuration allows for the reduction of analytical errors associated with sampling and saves time. Moreover, this apparatus has the potential to monitor other physicochemical properties related to the color of fruit juices.

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“…The genus Physalis L. belongs to the Solanaceae family and is commonly found in subtropical and temperate regions around the world (Licodiedoff, Ribani, Camlofski, & Lenzi, 2013;Fischer, Almanza-Merchán, & Miranda, 2014). The bestknown species of this genus is Physalis peruviana L., which is native to the Andes mountain range and recognized for its sweet fruits with high contents of vitamins A and B, as well as ascorbic acid, iron, phosphorus, and soluble solids (Mendoza, Rodriguez, & Millan, 2012;Fischer et al, 2014).…”

Section: Introductionmentioning

confidence: 99%

Plastochron and yield of Physalis peruviana L. grown in different environments and transplanting dates

Zeist

Resende

Zanin

et al. 2020

SCA

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This study aimed to estimate plastochron, leaf area, and yield of Physalis peruviana seedlings grown in different environments and transplanted on different dates. The experiment was carried out in a completely randomized design, arranged in a 2 x 3 factorial scheme, namely: two cultivation environments (protected and field) and three transplanting dates (10/27/2013, 12/15/2013, and 02/11/2014). Four replicates of eight plants were used per plot, and the four central plants composed the useful area. Based on mathematical models and temperature data, plastochron was estimated for the entire crop cycle and vegetative and reproductive phases separately. Leaf area and node number were measured, and their relationship established at the end of the study. Other variables assessed were fruit number, mass, and yield per plant. Our results showed that the higher temperatures in the protected environment anticipated phenological timings. Plastochron values of 60.0 and 16.5 °C day-1 can be used during vegetative and reproductive stages, respectively. The protected environment increased vegetative growth and development, as well as yield of P. peruviana seedlings. In the Guarapuava-PR region, P. peruviana seedlings should be transplanted during the spring so that higher fruit yield and quality could be achieved.

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Use of image analysis for monitoring the dilution of Physalis peruviana pulp

Cited by 8 publications

References 28 publications

Current Techniques for Fruit Juice and Wine Adulterant Detection and Authentication

Current Techniques for Fruit Juice and Wine Adulterant Detection and Authentication

Novel apparatus for monitoring simultaneously color and °Brix of selected fruit juices through RGB image analysis

Plastochron and yield of Physalis peruviana L. grown in different environments and transplanting dates

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