Nondestructive Testing for Wheat Quality with Sensor Technology Based on Big Data

Tian, Ye; Zhang, Zheng-Nan; Tian, Shuang-Qi

doi:10.1155/2020/8851509

Cited by 9 publications

(4 citation statements)

References 51 publications

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“…This inhibits efficient water hydration and uniform conditioning [7]. Thus, the role of the endosperm cell wall could be considered the molecular basis of H and other rheological features of the kernel [34].…”

Section: Mechanical and Viscoelastic Propertiesmentioning

confidence: 99%

Multivariate Analysis on the Properties of Intact Cereal Kernels and Their Association with Viscoelasticity at Different Moisture Contents

Escalante‐Aburto

Figueroa‐Cárdenas

Domínguez-López

et al. 2023

Foods

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The viscoelastic properties of cereal kernels are strongly related to their quality, which can be applied to the development of a more selective and objective classification process. In this study, the association between the biophysical and viscoelastic properties of wheat, rye, and triticale kernels was investigated at different moisture contents (12% and 16%). A uniaxial compression test was performed under a small strain (5%), and the increase in viscoelasticity at 16% moisture content corresponded to proportional increases in biophysical properties such as the appearance and geometry. The biophysical and viscoelastic behaviors of triticale were between those of wheat and rye. A multivariate analysis showed that the appearance and geometric properties significantly influenced kernel features. The maximum force showed strong correlations with all viscoelastic properties, and it can be used to distinguish between cereal types and moisture contents. A principal component analysis was performed to discriminate the effect of the moisture content on different types of cereals and to evaluate the biophysical and viscoelastic properties. The uniaxial compression test under a small strain and the multivariate analysis can be considered a simple and non-destructive tool for assessing the quality of intact cereal kernels.

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Section: Mechanical and Viscoelastic Propertiesmentioning

confidence: 99%

Multivariate Analysis on the Properties of Intact Cereal Kernels and Their Association with Viscoelasticity at Different Moisture Contents

Escalante‐Aburto

Figueroa‐Cárdenas

Domínguez-López

et al. 2023

Foods

View full text Add to dashboard Cite

show abstract

“…Moreover, it is hard to find the intrinsic harmful factors merely by detecting the shallow layer of food surface, which is also a great hidden danger. It is undoubtedly a subversive progress to develop automatic, intelligent and efficient non-destructive testing technology for pathogenic bacteria in foods [143,144].…”

Section: Non-destructive Testingmentioning

confidence: 99%

Overview of Rapid Detection Methods for Salmonella in Foods: Progress and Challenges

Wang

Zhang

Tian

et al. 2021

Foods

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Salmonella contamination in food production and processing is a serious threat to consumer health. More and more rapid detection methods have been proposed to compensate for the inefficiency of traditional bacterial cultures to suppress the high prevalence of Salmonella more efficiently. The contamination of Salmonella in foods can be identified by recognition elements and screened using rapid detection methods with different measurable signals (optical, electrical, etc.). Therefore, the different signal transduction mechanisms and Salmonella recognition elements are the key of the sensitivity, accuracy and specificity for the rapid detection methods. In this review, the bioreceptors for Salmonella were firstly summarized and described, then the current promising Salmonella rapid detection methods in foodstuffs with different signal transduction were objectively summarized and evaluated. Moreover, the challenges faced by these methods in practical monitoring and the development prospect were also emphasized to shed light on a new perspective for the Salmonella rapid detection methods applications.

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“…Recent years saw the rapid development of sensor technologies, data science, Internet of things (IoT), robotics, and remote sensing, leading to a fast evolution of conventional techniques typically used for NDT and SHM to highly advanced technologies integrated into intelligent sensing systems [ 11 , 17 , 18 , 19 ]. Several research examples using new innovations in advanced sensing technologies are presented in Table 1 .…”

Section: Introductionmentioning

confidence: 99%

A Systematic Review of Advanced Sensor Technologies for Non-Destructive Testing and Structural Health Monitoring

Hassani

Dackermann

2023

Sensors

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This paper reviews recent advances in sensor technologies for non-destructive testing (NDT) and structural health monitoring (SHM) of civil structures. The article is motivated by the rapid developments in sensor technologies and data analytics leading to ever-advancing systems for assessing and monitoring structures. Conventional and advanced sensor technologies are systematically reviewed and evaluated in the context of providing input parameters for NDT and SHM systems and for their suitability to determine the health state of structures. The presented sensing technologies and monitoring systems are selected based on their capabilities, reliability, maturity, affordability, popularity, ease of use, resilience, and innovation. A significant focus is placed on evaluating the selected technologies and associated data analytics, highlighting limitations, advantages, and disadvantages. The paper presents sensing techniques such as fiber optics, laser vibrometry, acoustic emission, ultrasonics, thermography, drones, microelectromechanical systems (MEMS), magnetostrictive sensors, and next-generation technologies.

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Nondestructive Testing for Wheat Quality with Sensor Technology Based on Big Data

Cited by 9 publications

References 51 publications

Multivariate Analysis on the Properties of Intact Cereal Kernels and Their Association with Viscoelasticity at Different Moisture Contents

Multivariate Analysis on the Properties of Intact Cereal Kernels and Their Association with Viscoelasticity at Different Moisture Contents

Overview of Rapid Detection Methods for Salmonella in Foods: Progress and Challenges

A Systematic Review of Advanced Sensor Technologies for Non-Destructive Testing and Structural Health Monitoring

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