Jinorose, Maturada

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Use of digital image analysis as a monitoring tool for non-uniform deformation of shrinkable materials during drying
(2017-01-01)
Jinorose, Maturada
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Stienkijumpai, Anyanun
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Devahastin, Sakamon
Deformation is a phenomenon that is common during drying. Generally, deformation is evaluated and reported in terms of volumetric shrinkage. However, volumetric shrinkage cannot be used to describe non-uniform deformation, which commonly takes place during drying of shrinkable materials such as biopolymers, fruits and vegetables. In the present study, algorithms and software were developed to first reconstruct 3D images from 2D images, and then to monitor non-uniform deformation of such images. Agar gel with different sugar contents were used as the test materials and were allowed to undergo drying at different rates. The developed image reconstruction algorithms were successfully validated with standard geometrical shapes. Various image-based parameters, both in two dimensions, i.e. projected area, perimeter, major axis length, minor axis length, equivalent diameter, extent and fractal dimension; and in three dimensions, i.e. volume, sphericity, Wadell's sphericity, Wadell's roundness, radius ratio and Hoffmann shape entropy, were then calculated. The results showed that extent and fractal dimension could be used to identify the onset and to monitor non-uniform deformation in two dimensions, while sphericity could be used for such tasks in three dimensions.
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Rapid smartphone-based assays for pesticides inspection in foods: current status, limitations, and future directions
(2024-01-01)
Yun, Pheakdey
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Jinorose, Maturada
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Devahastin, Sakamon
Smartphone-based assays to inspect pesticides in foods have attracted much attention as such assays can transform tedious laboratory-based assays into real-time, on-site, or even home-based assay and hence overcoming the limitations of conventional assays. Although an array of smartphone-based assays is available, information on the use of these assays for pesticides inspection is scattered. The purposes of this review are therefore to compile, summarize and discuss state-of-the-art as well as advantages and limitations of the relevant technologies. Suggestions are provided for further development of smartphone-based assays for rapid inspection of pesticides in foods. Smartphone-based assays relying on enzyme inhibitions are noted to be nonselective qualitative, capable of reporting results in a quantitative manner only when a sample contains an individual pesticide. Smartphone-based assays relying on chemical reactions also target only individual pesticides. Smartphone-based visible spectroscopy can, on the other hand, inspect individual and multiple pesticides with the aid of appropriate colorimetry-, luminescence-, or fluorescence-based assay. Smartphone-based visible-near infrared and Raman spectroscopies are suitable for simultaneous multiple pesticides inspection. Raman spectroscopy is of particular interest as it can detect pesticides even at lower concentrations. This spectroscopic technique can also serve as a real-time assay with the aid of cloud network computations.
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Development and testing of a novel image analysis algorithm for descriptive evaluation of shape change of a shrinkable soft material
(2021-12-01)
Stienkijumpai, Pinpinat
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Jinorose, Maturada
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Devahastin, Sakamon
Soft material can undergo non-uniform deformation or change of shape upon processing. Identifying shape and its change is nevertheless not straightforward. In this study, novel image-based algorithm that can be used to identify shapes of input images and at the same time classify non-uniform deformation into various patterns, i.e., swelling/shrinkage, horizontal and vertical elongations/contractions as well as convexity and concavity, is proposed. The algorithm was first tested with computer-generated images and later applied to agar cubes, which were used as model shrinkable soft material, undergoing drying at different temperatures. Shape parameters and shape-parameter based algorithm as well as convolutional neural networks (CNNs) either incorrectly identified some complicated shapes or could only identify the point where non-uniform deformation started to take place; CNNs lacked ability to describe non-uniform deformation evolution. Shape identification accuracy of the newly developed algorithm against computer-generated images was 65.88%, while those of the other tested algorithms ranged from 34.76 to 97.88%. However, when being applied to the deformation of agar cubes, the developed algorithm performed superiorly to the others. The proposed algorithm could both identify the shapes and describe their changes. The interpretation agreed well with that via visual observation.
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A concise history of drying
(2020-01-01)
Devahastin, Sakamon
;
Jinorose, Maturada
Drying has been conducted since time immemorial with the main purpose of preserving food and agricultural produce. This chapter provides a concise history of drying of pharmaceutical products. The Chinese book on roots and grasses Pen T'Sao, written by Emperor Shen Nung as early as 2500 BC, mentioned as many as 365 drugs obtained from dried parts of medicinal plants, many of which are still in use even today. The chapter also gives brief histories of some popular drying techniques for drugs and other relevant molecules. The selected drying technologies discussed are: Freeze drying, spray drying, fluidized, bed drying, and supercritical drying. Spray drying is probably the most mature alternative technology to freeze drying and can be applied to the production of many pharmaceutical products.

Jinorose, Maturada

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