Electronic nose technique potential monitoring mandarin maturity

Gómez, Antihus Hernández; Wang, Jun; Hu, Guixian; Pereira, Annia García

doi:10.1016/j.snb.2005.03.090

Cited by 121 publications

(63 citation statements)

References 13 publications

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“…The technique of global aroma analysis by means of EN has been considered very promising during the last 15 years as a non-destructive tool to evaluate fruit quality, as shown in the comprehensive review of Peris and Escuder-Gilabert (2009), from different points of view: shelf-life investigation to assess "Jonagold" (Saevels et al, 2003) and "Pinklady" (Brezmes et al, 2001a) apples quality during shelf-life, to monitor tomato fruit with different storage time (Gómez et al, 2008); harvest date determinations in mandarins (Gomez et al, 2006), apples (Saevels et al, 2003) and mango fruit (Lebrun et al, 2008), to classify "Gala" apples at harvest in different maturity degrees (Pathange et al, 2006), faults detection as to detect freeze damage in oranges (Tan et al, 2005) or apples defects as mealiness and skin damage in "Cox" (di Natale et al, 2001) and "Red Delicious" apples (Li et al, 2007), and for blueberry fruit disease detection and classification (Li et al, 2010).…”

Section: Electronic Nosementioning

confidence: 99%

Sensors for product characterization and quality of specialty crops—A review

Ruiz-Altisent

Ruiz-García

Moreda

et al. 2010

Computers and Electronics in Agriculture

187

112

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a b s t r a c tThis review covers developments in non-invasive techniques for quality analysis and inspection of specialty crops, mainly fresh fruits and vegetables, over the past decade up to the year 2010. Presented and discussed in this review are advanced sensing technologies including computer vision, spectroscopy, X-rays, magnetic resonance, mechanical contact, chemical sensing, wireless sensor networks and radiofrequency identification sensors. The current status of different sensing systems is described in the context of commercial application. The review also discusses future research needs and potentials of these sensing technologies. Emphases are placed on those technologies that have been proven effective or have shown great potential for agro-food applications. Despite significant progress in the development of non-invasive techniques for quality assessment of fruits and vegetables, the pace for adoption of these technologies by the specialty crop industry has been slow.

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Section: Electronic Nosementioning

confidence: 99%

Sensors for product characterization and quality of specialty crops—A review

Ruiz-Altisent

Ruiz-García

Moreda

et al. 2010

Computers and Electronics in Agriculture

187

112

View full text Add to dashboard Cite

show abstract

“…On the other hand, LDA uses the pooled covariance matrix in calculating the (generalized) squared distances. LDA and QDA are extensively used for classification of sample in different groups in the area of electronic nose technology [6,[22][23][24][25]. The data analysis was carried out using SAS (Version 9.1, SAS Institute Inc., Cary, NC).…”

Section: Model Developmentmentioning

confidence: 99%

Fourier transform infrared spectroscopy (FTIR) as a tool for discriminating Salmonella typhimurium contaminated beef

Amamcharla

Panigrahi

Marchello³

et al. 2010

Sens. & Instrumen. Food Qual.

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Detection of beef contamination from harmful pathogens will be helpful in protecting the consumer safety and controlling the outbreaks. In this paper, the potential of Fourier transform infrared spectroscopy (FTIR) was investigated to discriminate the Salmonella contaminated packed beef. A suitable headspace sampling system was designed and used to collect the headspace volatiles from the packed meat to the FTIR gas cell. Spectral signatures of headspace volatiles of meat packages were used to classify the packed meat samples as contaminated or not. FTIR spectrum was divided into several regions in order to reduce the dimensionality as well as to select the regions based on the absorbance properties of various volatiles present in headspace of meat package. Principal component analysis was performed on the entire spectrum (4000-500 cm -1 ) as well as on the selected sub-regions of entire spectrum. Two statistical classification techniques (linear and quadratic discriminate analysis) were used to develop classification models. The statistical models were validated using bootstrap cross validation technique. The total average classification accuracies were evaluated in terms of coefficient of variance (% CV). Based on the mean of total average classification accuracies and its % CV calculated from five similarly conducted experiments, it was found that the statistical models developed on a part of the spectra (500-850 cm -1 ) and full spectra (4000-500 cm -1 ) can be used as potential classification models for non-destructive discrimination of Salmonella contaminated packed beef samples from uncontaminated ones. These results need to be further validated on dataset with larger sample size.

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“…Aroma is the most important factor influencing consumers' purchase intent, estimation of food quality and food acceptance (Bakker, 1997;Santonico et al, 2008). It is a specific sensory characteristic detected when volatile compounds enter the nasal portion of the olfactory system down through the back of the throat and get to be detected by olfactory receptors (Gomez et al, 2006). Despite the importance of aroma as a food quality indicator, quality and acceptability of a product are traditionally monitored in food industry settings by virtue of production processes' control via physicochemical measurements such as pH-value and colour, as well as by virtue of spectroscopic determination of concentrations of particular molecules.…”

Section: Introductionmentioning

confidence: 99%

Application of electronic nose and electronic tongue in the dairy industry

et al. 2014

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Electronic nose (e-nose) and electronic tongue (e-tongue) instrumental systems were designed to crudely mimic human olfactory and taste sensory organs and are composed of an array of sensors. Complex data sets from electronic nose and electronic tongue signals combined with multivariate statistics represent rapid and efficient tools for classification, discrimination, recognition and identification of samples, as well as for the prediction of concentrations of different compounds. A wide variety of sensors can be employed into the design of these instrumental systems, especially that of electronic tongues, offering numerous practical applications. In this study, characteristics of sensors and possibilities of electronic nose and electronic tongue applications in the dairy industry were reviewed.

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Electronic nose technique potential monitoring mandarin maturity

Cited by 121 publications

References 13 publications

Sensors for product characterization and quality of specialty crops—A review

Sensors for product characterization and quality of specialty crops—A review

Fourier transform infrared spectroscopy (FTIR) as a tool for discriminating Salmonella typhimurium contaminated beef

Application of electronic nose and electronic tongue in the dairy industry

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