Rapid non-contact relative permittivity measurement of fruits and vegetables using magnetic induction spectroscopy

O’Toole, Michael D.; Marsh, Liam A; Davidson, Jennifer L.; Tan, Yee Mei; Armitage, David; Peyton, A. J.

doi:10.1109/sas.2015.7133624

Cited by 6 publications

(3 citation statements)

References 20 publications

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“…MIS has been successfully used to find the conductivity spectra of potatoes, cucumbers, tomatoes, bananas, and yeast-concentrations [29]- [31]. In previous work, we were able to demonstrate MIS for the first time at a near industrial-scale using a robust non-contact system designed to be operated on a fruit sorting-line [22], [32].…”

Section: Introductionmentioning

confidence: 95%

Bioimpedance Measurement of Avocado Fruit Using Magnetic Induction Spectroscopy

O'Toole,

Glowacz,

Peyton

2023

IEEE Trans. Agri. Elect.

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Avocado fruit is a popular, nutritious and commercially valuable product that, with a short window of ripeness and heterogeneous maturity, presents particular challenges when bringing to market. There is significant value in being able to measure avocado fruit ripeness and maturity, especially nondestructively, with the prospect of improvements in consignment management, food loss, and consumer satisfaction.In this paper, we explore the bioimpedance spectra of avocado fruit. Bioimpedance has been found to correlate with ripeness in avocado fruit over a frequency range termed the β-dispersion where cell polarisation effects are significant. Our contribution is to use Magnetic Induction Spectroscopy to measure conductivity across this range, an entirely non-contact method that uses eddycurrents induced in the fruit flesh by magnetic fields rather than penetrative or surface electrodes as in previous work.We were able to measure a clear β-dispersion curve, finding fruit conductivity rising from ∼0.6 mS/cm at 100 kHz to ∼4 mS/cm at 10 MHz. This agrees with the literature at higher and lower frequencies, and completes a gap in the spectra not previously reported. Further, we find evidence of changes to the conductivity spectra as the fruit ages and ripens, with the spectra broadly flattening according to a set of identified trends. This indicates a relation between bioimpedance spectra and ripeness, although high inter-sample variability precludes the spectra as a direct estimation technique at this stage.

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Section: Introductionmentioning

confidence: 95%

Bioimpedance Measurement of Avocado Fruit Using Magnetic Induction Spectroscopy

O'Toole,

Glowacz,

Peyton

2023

IEEE Trans. Agri. Elect.

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“…The design of a practical MIS system was reported specifically for bioelectrical impedance spectroscopy on yeast suspension in saline, fruits and tissue [18]. Recent spectroscopic bioimpedance measurements were described for industrial-scale agricultural produce [19]. In the medical domain, gradiometer sensors were designed to perform in vivo spectroscopic measurements on a human hand [20]; meanwhile electromagnetic phase-shift spectroscopy was developed to diagnose brain oedema and brain hematoma [21].…”

Section: Introductionmentioning

confidence: 99%

Magnetic Induction Tomography Spectroscopy for Structural and Functional Characterization in Metallic Materials

Muttakin

Soleimani

2020

Materials

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Magnetic induction tomography (MIT) is a powerful imaging system for monitoring the state of metallic materials. Tomographic methods enable automatic inspection of metallic samples making use of multi-sensor measurements and data processing of eddy current-based sensing from mutual inductances. This paper investigates a multi-frequency MIT using both amplitude and phase data. The image reconstruction algorithm is based on a novel spectrally-correlative total variation method allowing an efficient and all-in-one spectral reconstruction. Additionally, the paper shows the rate of change in spectral images with respect to the excitation frequencies. Using both spectral maps and their spectral derivative maps, one can derive key structural and functional information regarding the material under test. This includes their type, size, number, existence of voids and cracks. Spectral maps can also give functional information, such as mechanical strains and their thermal conditions and composition.

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“…It is supposed that useful information about the object can be inferred by interpretation of this spectra. Recent applications include the identification of unexploded ordinance [5], [6], [7], characterisation of coinage [8], and physio-chemical properties of agricultural produce [9], [10].…”

Section: Introductionmentioning

confidence: 99%

Classification of Non-ferrous Scrap Metal using Two Component Magnetic Induction Spectroscopy

OrToole

Peyton

2019

2019 IEEE Sensors Applications Symposium (SAS)

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Magnetic induction spectroscopy is the measurement of how a conductive object reflects and scatters a magnetic field over different frequencies in response to some excitation magnetic field. In recent work, we proposed using this technique to classify different non-ferrous metals for the recycling and resource recovery sector-specifically, to identify fragments of scrap aluminium, copper and brass in shredded waste streams for separation and recovery. We proposed a simple algorithm that used only two components of the spectra that gave strong purity and recovery-rates when tested on a manufactured control set cut from stock metals. In this paper, we reexamined this method using real scrap metal samples drawn from a commercial sorting line. We found moderate purity and recovery-rates of brass and copper of between around 70% and 90%. However, the classification of aluminium was poor with ≈55% and ≈80% purity and recovery rates respectively. Magnetic induction sensors are a natural fit for the specifications of the industry. They are capable of highthroughputs, are unaffected by dirt or contaminants and are mechanically and physically robust. Although our results are modest, they are not insignificant given the simplicity of the algorithm and the relatively low-cost of instrumentation. Our work suggests the MIS as a technique may have a significant role to play in the extraction and recovery of non-ferrous resources.

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Rapid non-contact relative permittivity measurement of fruits and vegetables using magnetic induction spectroscopy

Cited by 6 publications

References 20 publications

Bioimpedance Measurement of Avocado Fruit Using Magnetic Induction Spectroscopy

Bioimpedance Measurement of Avocado Fruit Using Magnetic Induction Spectroscopy

Magnetic Induction Tomography Spectroscopy for Structural and Functional Characterization in Metallic Materials

Classification of Non-ferrous Scrap Metal using Two Component Magnetic Induction Spectroscopy

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