Non-destructive determination of moisture content in hazelnut (Corylus avellana L.)

Solar, Mitja; Solar, A.

doi:10.1016/j.compag.2016.01.002

Cited by 22 publications

(3 citation statements)

References 37 publications

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“…Traceability of hazelnuts was also tested by Manfredi et al ., 171 using a portable FT (Fourier Transformed)‐Infrared spectroscopy (IRs) equipment and, always by PLSDA modelling, a predictive selection of separate cultivars was carried out and was proposed by the authors as rapid, effective, and in situ method of evaluation. Some authors 172 experimented with the use of a probe able to test the dielectric properties of in‐shell hazelnuts, measured by conductance and capacitance, which were used as non‐destructive detections for moisture content prediction. The same PLSDA was used in a recent work in combination with RGB image analysis for evaluating the defective hazelnuts 163 .…”

Section: Introductionmentioning

confidence: 99%

Advances in cultivar choice, hazelnut orchard management, and nut storage to enhance product quality and safety: an overview

et al. 2020

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European hazelnut (Corylus avellana L.) is a major species of interest for nutritional use within the Betulaceae family and its nuts are widely used throughout the world in the chocolate, confectionery, and bakery industries. Recently its cultivation has been expanded in traditional producer countries and established in new places in the southern hemisphere, including Chile, South Africa, and Australia. Introducing hazelnut in new environments could reduce its productivity, lead the trees to experience eco‐physiological disorders, and expose the crop to high pressure from common and new pests and diseases. Thus, new approaches in cultivar choice guidance, in the sustainable orchard management and even in nut storage and kernel quality evaluation are urgently required to improve the hazelnut production and processing chain. The main objective of this study was to systematize the published information regarding recent findings about the cultural operations that directly influence nut and kernel quality, support varietal choice for new plantations, and list the recent advances in nut storage and in quality and safety evaluation. © 2020 Society of Chemical Industry

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Section: Introductionmentioning

confidence: 99%

Advances in cultivar choice, hazelnut orchard management, and nut storage to enhance product quality and safety: an overview

et al. 2020

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“…Honey adulteration [89] Nuts Moisture content [90] Values increase with temperature [91] Legumes Increase with temperature and moisture concentration, decrease with frequency [92] There is an inverse linear correlation observed between the loss factor and the frequency Table 1.…”

Section: Honeymentioning

confidence: 99%

Dielectric Spectroscopy for the Non-Destructive Characterization of Biomaterials: Fundamentals, Techniques, and Experimentations

Novas Castellano,

El Khaled,

Maria Garcia

et al. 2023

Microwave Technologies - Recent Advances and New Trends and Applications

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This chapter provides an overview of research on the dielectric properties of fresh food and their applications in assessing food quality and freshness. Non-destructive methods, including dielectric techniques such as dielectric spectroscopy (DS) and bioelectrical impedance spectroscopy (BIS), have gained importance in assessing food quality without damaging the products. The importance of external appearances, such as color, size, brightness, and hardness, in determining the freshness of fruits and vegetables is emphasized. Several dielectric techniques, such as impedance, capacitance, and electrical conductivity measurements, are studied to assess quality at distinct stages of the supply chain. These techniques can detect defects, diseases, and mechanical damage and facilitate storage quality control and processing quality evaluation. Accurate measurements and instrumentation advancements are crucial for effectively implementing these techniques. The study of dielectric properties offers promising prospects for evaluating food quality and ensuring freshness. Further research and technological advances in this field can enhance the monitoring and maintaining optimal conditions for fresh produce throughout the food supply chain, reducing food waste and improving consumer satisfaction.

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“…Thus, it is difficult to develop a high-precision online measurement device based on the resistance characteristics of a single grain given the difference in the texture and the dynamic change in the moisture distribution in a single kernel. Since Nelson's research in 1977, [16] showed that a strong correlation exists between grain's dielectric properties and moisture content, various practical applications of moisture content measurement of agricultural products based on their dielectric properties have emerged, such as for flaxseed [17], safflower seeds [18], meat [19], date [20], and hazelnut [21]. The capacitive sensor is a low-cost and easy-to-use method to detect some features of agricultural products according to their dielectric properties.…”

Section: Introductionmentioning

confidence: 99%

Capacitive Online Corn Moisture Content Sensor Considering Porosity Distributions: Modeling, Design, and Experiments

Zhang

Meng

et al. 2021

Applied Sciences

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An online corn moisture content measurement device would be a key technology for providing accurate feedback information for industrial drying processes to enable the dynamic tracking and closed-loop control of the process. To overcome the problem of large measurement error caused by the characteristics of the corn flow state and the pore distribution when a parallel plate capacitor is applied to the online moisture content measurement process, in this study, we summarized the constraint conditions of the sensor’s structure parameters by mathematical modeling and calculated the optimal sensor design size. Moreover, the influence of porosity variation on moisture content measurement was studied by using the designed sensor. In addition, a mathematical model for calculating corn moisture content was obtained for the moisture content range of 14.7% to 26.4% w.b., temperature of 5 °C to 35 °C, and porosity of 38.4% to 44.6%. The results indicated that the fluctuation in the online moisture content measurement value was obviously reduced after the porosity compensation. The absolute error of the measured moisture content value was −0.62 to 0.67% w.b., and the average of absolute values of error was 0.32% w.b. The main results provide a theoretical basis and technical support for the development of intelligent industrial grain–drying equipment.

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Non-destructive determination of moisture content in hazelnut (Corylus avellana L.)

Cited by 22 publications

References 37 publications

Advances in cultivar choice, hazelnut orchard management, and nut storage to enhance product quality and safety: an overview

Advances in cultivar choice, hazelnut orchard management, and nut storage to enhance product quality and safety: an overview

Dielectric Spectroscopy for the Non-Destructive Characterization of Biomaterials: Fundamentals, Techniques, and Experimentations

Capacitive Online Corn Moisture Content Sensor Considering Porosity Distributions: Modeling, Design, and Experiments

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