Electronic Nose To Detect Volatile Compound Profile and Quality Changes in ‘Spring Belle’ Peach (Prunus persica L.) during Cold Storage in Relation to Fruit Optical Properties Measured by Time-Resolved Reflectance Spectroscopy

Rizzolo, A.; Bianchi, G.; Vanoli, M.; Lurie, Susan; Spinelli, Lorenzo; Torricelli, Alessandro

doi:10.1021/jf302808g

Cited by 57 publications

(34 citation statements)

References 51 publications

(119 reference statements)

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“…The fruits were transported 283 km from the orchard to Zagreb, Croatia by the route presented in Figure 1. During the transport and in subsequent cold storage, real-time monitoring of temperature, relative humidity, CO 2 , and GPS for experimental fruit was performed by WSN. Firmness, weight loss, total soluble solids (TSS), titratable acid (TA), and sensory properties are important factors of fruit quality and they play significant roles in consumer preferences, thus having a prominent role in fruit quality assessment during storage [36][37][38].…”

Section: Experimental Schemementioning

confidence: 99%

“…Fresh peaches and nectarines are fruits that are appreciated worldwide by consumers for their juicy texture, high nutrient content, and pleasant flavor [1,2]. As a kind of climacteric fruits, peaches and nectarines have relatively short lives when compared with other fruits, such as apples, due to fast softening, physiological disorders, and overall deterioration of quality, which significantly decrease their marketing period [3][4][5][6].…”

Section: Introductionmentioning

confidence: 99%

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Postharvest Quality Monitoring and Variance Analysis of Peach and Nectarine Cold Chain with Multi-Sensors Technology

et al. 2017

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Fresh peaches and nectarines are very popular for their high nutritional and therapeutic value. Unfortunately, they are prone to rapid deterioration after harvest, especially if the cold chain is not well maintained. The objective of this work is to study the environmental fluctuation and the quality change of fresh peaches and nectarines in cold chain. The temperature, relative humidity, and CO 2 level were real-time monitored by sensor nodes with a wireless sensor network (WSN). The cold chain lasted for 16.8 h and consisted of six segments. The dynamic change of temperature, relative humidity, and CO 2 level were real-time monitored and analyzed in detail in each of the six stages. The fruit quality index (fruit weight, fruit firmness, and soluble solids concentration (SSC)) were detected and analyzed immediately before the first stage (S1) and at the beginning of the last stage (S6). The results show that without good temperature control fruit softening is the most significant problem, even in a short chain; the WSN node can provide complete and accurate temperature, humidity, and gas monitoring information for cold chains, and can be used to further improve quality and safety assurance for peach fruit cold chains.

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Section: Experimental Schemementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Postharvest Quality Monitoring and Variance Analysis of Peach and Nectarine Cold Chain with Multi-Sensors Technology

et al. 2017

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“…The obtained data are analyzed with chemometric tools, and allow to characterize each sample through its volatile pattern. Overall, samples with similar odors generally have similar patterns (Bianchi, Rizzolo, Grassi, Provenzi, & Lo Scalzo, ; Rizzolo et al, ). E‐nose is used in food industry in assessing fruit quality and ripening process monitoring (Baietto & Wilson, ; Brezmes, Llobet, Vilanova, Saiz, & Correig, ), freshness evaluation (Wojnowski, Majchrzak, Dymerski, Gębicki, & Namieśnik, ), shelf life investigation (Labreche, Bazzo, Cade, & Chanie, ) and quality assessment (Loutfi et al, ).…”

Section: Introductionmentioning

confidence: 99%

Taste quality traits and volatile profiles of sprouts and wheatgrass from hulled and non‐hulled Triticum species

Bianchi¹,

Falcinelli

Tosti

et al. 2019

J Food Biochem

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Wheat sprouts and wheatgrass represent a sort of fresh vegetable for the ready‐to‐eat market and are acknowledged for their bioactive compounds content. Besides nutritional properties, sensory quality is a crucial issue for consumers’ satisfaction. This work reports several sensory traits of sprouts and wheatgrass from five genotypes of Triticum species. Sprouts showed higher soluble solids content (SSC) and SSC/TA (titratable acidity) ratio than wheatgrass. The prevalent volatile compounds of both sprouts and wheatgrass were 1‐penten‐3‐ol, 1‐penten‐3‐one, E‐2‐hexenal, and 1‐octen‐3‐ol, responsible for green, solvent, earthy, and mushroom odors. Differences among samples were affected more by the growing stage than by the genotype. Practical applications Results indicate sprouts and wheatgrass have a strong flavor, which might not be acceptable to consumers. This suggests the addition of sprouts to vegetable‐based products, such as salads, in order to enhance the taste complexity while providing valuable phytochemicals. Similarly, the strong flavor of wheatgrass, which is mainly used alone to make juices, could be mitigated by mixing it with other vegetable products or by using it as a garnishment. Overall, the observed sensory traits and volatile compounds represent a tool for a tailored choice of the sprout stage and genotype depending on the desired food specialty (e.g., salad, course garnishment, juice).

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“…Then a data-collection unit is usually used to acquire response values of the sensor array, after that, discrimination and prediction analysis can be realized by using multivariate statistical techniques. Apart from low cost and timesaving features, electronic nose has also been proved to perform well in volatile compounds analysis of various foods, including fruit juices 13, 14 , alcoholic beverages 15, 16 and green tea 17 .…”

Section: Introductionmentioning

confidence: 99%

Quality assessment of Chinese liquor with different ages and prediction analysis based on gas chromatography and electronic nose

Zhu

2017

Sci Rep

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The economic value of Chinese liquor is closely related with its age. Results from gas chromatograph (GC) analysis indicated that 8 dominant compounds were decreased with the increase of liquor age (0 to 5 years) while ethyl lactate was found to be the most stable dominant compound as no significant change was observed in it during the aging process. Liquor groups with different ages were well-discriminated by principal component analysis (PCA) based on electronic nose signals. High-accurate identification of liquor ages was realized using linear discriminant analysis (LDA) with the accuracy of 98.3% of the total 120 samples from six age groups. Partial least squares regression (PLSR) exhibited satisfying ability for liquor age prediction (R2: 0.9732 in calibration set and 0.9101 in validation set). The feasibility of volatile compounds prediction using PLSR combined with electronic nose was also verified by this research. However, the accuracies of PLSR models can be further promoted in future researches, perhaps by using more suitable sensors or modeling approaches.

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Electronic Nose To Detect Volatile Compound Profile and Quality Changes in ‘Spring Belle’ Peach (Prunus persica L.) during Cold Storage in Relation to Fruit Optical Properties Measured by Time-Resolved Reflectance Spectroscopy

Cited by 57 publications

References 51 publications

Postharvest Quality Monitoring and Variance Analysis of Peach and Nectarine Cold Chain with Multi-Sensors Technology

Postharvest Quality Monitoring and Variance Analysis of Peach and Nectarine Cold Chain with Multi-Sensors Technology

Taste quality traits and volatile profiles of sprouts and wheatgrass from hulled and non‐hulled Triticum species

Quality assessment of Chinese liquor with different ages and prediction analysis based on gas chromatography and electronic nose

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