Use of Modern Regression Analysis in the Dielectric Properties of Foods

Weng, Yu-Kai; Chen, Jiunyuan; Cheng, Colin C.J.; Chen, Chiachung

doi:10.3390/foods9101472

Cited by 7 publications

(6 citation statements)

References 35 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Regression analysis is used to establish a liver volume prediction equation [50], in order to evaluate the environmental factors that affect plant tissue culture [51], to describe the water activity equations for honey [52] and to express the factors that affect the dielectric properties of foods [53]. This statistical technique is also used to evaluate adequate calibration equations for the calibration curves in this study.…”

Section: Discussionmentioning

confidence: 99%

Evaluation of Calibration Equations by Using Regression Analysis: An Example of Chemical Analysis

Chen

2022

Sensors

Self Cite

View full text Add to dashboard Cite

A calibration curve is used to express the relationship between the response of the measuring technique and the standard concentration of the target analyst. The calibration equation verifies the response of a chemical instrument to the known properties of materials and is established using regression analysis. An adequate calibration equation ensures the performance of these instruments. Most studies use linear and polynomial equations. This study uses data sets from previous studies. Four types of calibration equations are proposed: linear, higher-order polynomial, exponential rise to maximum and power equations. A constant variance test was performed to assess the suitability of calibration equations for this dataset. Suspected outliers in the data sets are verified. The standard error of the estimate errors, s, was used as criteria to determine the fitting performance. The Prediction Sum of Squares (PRESS) statistic is used to compare the prediction ability. Residual plots are used as quantitative criteria. Suspected outliers in the data sets are checked. The results of this study show that linear and higher order polynomial equations do not allow accurate calibration equations for many data sets. Nonlinear equations are suited to most of the data sets. Different forms of calibration equations are proposed. The logarithmic transformation of the response is used to stabilize non-constant variance in the response data. When outliers are removed, this calibration equation’s fit and prediction ability is significantly increased. The adequate calibration equations with the data sets obtained with the same equipment and laboratory indicated that the adequate calibration equations differed. No universe calibration equation could be found for these data sets. The method for this study can be used for other chemical instruments to establish an adequate calibration equation and ensure the best performance.

show abstract

Section: Discussionmentioning

confidence: 99%

Evaluation of Calibration Equations by Using Regression Analysis: An Example of Chemical Analysis

Chen

2022

Sensors

Self Cite

View full text Add to dashboard Cite

show abstract

“…Conventionally, waveguide and coaxial cavity resonators have been used for accurate material characterization. However, consideration is now being given to planar resonator techniques because they are associated with benefits such as their compact size, minimal cost, and the fact that they require simple manufacturing methods 7‐9 . These techniques use material under test (MUT) as a overlay on the top of the device under maximum electric field area or the device is immersed in the sample to investigate food adulteration 10‐13 …”

Section: Introductionmentioning

confidence: 99%

“…However, consideration is now being given to planar resonator techniques because they are associated with benefits such as their compact size, minimal cost, and the fact that they require simple manufacturing methods. [7][8][9] These techniques use material under test (MUT) as a overlay on the top of the device under maximum electric field area or the device is immersed in the sample to investigate food adulteration. [10][11][12][13] As microwave characterization techniques are non-destructive and provide a non-invasive environment for material testing, they are used in the health, agriculture, and food industries.…”

Section: Introductionmentioning

confidence: 99%

Graphene based T‐shaped monopole antenna sensor for food quality evaluation

Nitika,

Kaur,

Khanna

2024

J Sci Food Agric

View full text Add to dashboard Cite

BACKGROUNDFood adulteration has long been considered a major problem. It compromises the quality, safety, and nutritional value of food, posing significant risks to public health. Novel techniques are required to control it.RESULTSA graphene‐based T‐shaped monopole antenna sensor was tested for its ability to detect adulteration in liquid foods. Mustard oil was the pure reference sample used for product quality analysis. Olive oil and rice bran oil were adulterants added to the pure sample. It was found that the sensor could be immersed easily in the liquid sample and provided precise results.CONCLUSIONThe graphene‐based T‐shaped monopole antenna sensor can be used for the quality assessment of liquid food products and is suitable for real‐time monitoring. © 2024 Society of Chemical Industry.

show abstract

“…However, it is impossible to check the quality of food materials to ensure its nutritive value only on the basis of visual inspection, especially when adulterant resembles the base product [6, 7]. There are certain properties of the material that are associated with each raw material, especially electric properties like dielectric permittivity that could be examined to check the adulteration in food samples to assure its quality [8, 9]. When two materials possessing different values of permittivity are mixed together then it results into third effective permittivity whose value lies in between the two parental values, from which some sight of adulteration can be traced [10].…”

Section: Introductionmentioning

confidence: 99%

Exploration of adulteration in common raw spices using antenna-based sensor

Nitika

Kaur

Khanna

2022

Int. J. Microw. Wireless Technol.

View full text Add to dashboard Cite

The ability of food products to store and dissipate electromagnetic energy is determined by the material's dielectric properties. In relation to this phenomenon, a non-destructive technique is presented for food evaluation based on the shift in resonant frequency and reflection coefficient magnitude value of the proposed slot-loaded microstrip line-fed antenna-based sensor caused by the change in dielectric properties of the food material. In this work, a miniaturized antenna sensor of 10 × 10 mm2 size comprised of a dielectric substrate FR-4 with permittivity (εr) = 4.4 having ground plane at the bottom and a radiating element at the top is designed to operate at 13.3 GHz. Three samples of spices, i.e. red chilli powder, black pepper powder, and turmeric powder, are considered for quality monitoring whose relationship in terms of reflection coefficient, resonant frequency, and dielectric permittivity at 13.17, 12.61, and 13.09 GHz respectively is analyzed. Further, second-order polynomial model is derived to predict dielectric permittivity of the material under test with high accuracy. The experimental procedure of this proposed sensor is based upon the interaction of the sample food materials with the electromagnetic field owing to shift in resonant frequency as a function of dielectric permittivity of the samples. The proposed antenna sensor has a Q-factor of 409, showing significantly high sensitivity of 280 MHz with 98% accuracy and standard deviation less than the difference between unadulterated and adulterated values, giving resolution high enough to distinguish adulteration with an acceptable statistical accuracy.

show abstract

Use of Modern Regression Analysis in the Dielectric Properties of Foods

Cited by 7 publications

References 35 publications

Evaluation of Calibration Equations by Using Regression Analysis: An Example of Chemical Analysis

Evaluation of Calibration Equations by Using Regression Analysis: An Example of Chemical Analysis

Graphene based T‐shaped monopole antenna sensor for food quality evaluation

Exploration of adulteration in common raw spices using antenna-based sensor

Contact Info

Product

Resources

About