Jinorose, Maturada

Preferred name

Jinorose, Maturada

Alternative Name

Jinorose, M.

Main Affiliation

School of Engineering

maturada.ji@kmitl.ac.th

Now showing 1 - 7 of 7

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Effects of different solar drying methods on 'Galiang Bird' Chilli (Capsicum frutescens Linn.)
(2015-06-30)
Jinorose, M.
;
Assawarachan, R.
Thin-layer drying behavior of 'Galiang bird' chilli (Capsicum frutescens Linn.) undergoing three different solar drying methods, namely, direct solar drying, indirect solar drying and hybrid solar-thermal drying, was investigated. The convection solar dryer is an indirect forced convection solar dryer consisting of a solar air collector and a drying cabinet, while the hybrid solar dryer consists of a solar collector, reflector, electrical heater and air circulation system. Upon drying it was found that to reach a final moisture content of 0.1428 g<inf>water</inf>/g<inf>dry matter</inf> at 60, 70 and 80°C, the drying time in the hybrid solar dryer was 5.83, 4.17 and 2.81 h, respectively. On the other hand, it took 16.5 h with convection solar drying and 23.5 h with direct solar drying. Dried product color was best maintained by hybrid solar drying at 60°C, which yielded the highest a∗value (red color). The experimental data were fitted to four drying models, namely, Newton, Page, Henderson and Pabis and Logarithmic. The suitability of the models was assessed by comparing the coefficient of determination (R2), reduced chi-square (x2) and root-mean square error (RMSE). It was found that among the tested models, Page model was the most appropriate for prediction because it provided the highest R2 and lowest x2 and RMSE. According to these results, the Pagemodel was the most suitable model in describing the various different solar drying behavior of 'Galiang bird' chilli.
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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
;
Stienkijumpai, Anyanun
;
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
;
Jinorose, Maturada
;
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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A novel image-analysis based approach to evaluate some physicochemical and cooking properties of rice kernels
(2014-01-01)
Jinorose, Maturada
;
Prachayawarakorn, Somkiat
;
Soponronnarit, Somchart
Prior to being edible, paddy needs to undergo several processing steps, which inevitably affect the kernel quality, both in terms of the physical, physicochemical and cooking characteristics. Unfortunately, many of the kernel quality parameters are time-consuming and not straightforward to evaluate, rendering the control of the paddy processing quite ineffective. An alternative means, which allows rapid determination of various properties of the kernels are therefore desirable. This study represents the first attempt to correlate image-analysis based apparent characteristics of rice kernels to physicochemical as well as cooking properties of the kernels for effective monitoring of rice processing and cooking processes. Parboiled rice production process was selected as a test process. Image-analysis based results, in terms of the changes of the kernel dimensions (i.e.; elongation ratio, width ratio, and swelling) and translucency as well as the fractal dimension of the kernel images, were noted to adequately correlate with the tested physicochemical (i.e.; amylose content, water uptake, degree of parboiling, which is closely related to the degree of starch gelatinization) as well as cooking (i.e.; texture and cooked level of rice kernels) properties of the rice kernels of two varieties of Thai rice. This represents an attractive evaluation technique that can be adopted by an industry for various properties measurement and quality control. © 2013 Elsevier Ltd. All rights reserved.
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Development of machine learning enhanced low-cost spectrophotometer for pesticide prediction
(2025-05-15)
Murathathunyaluk, S.
;
Jinorose, M.
;
Janpetch, K.
;
Chanthapanya, N.
;
Sombatsri, W.
Conventional analytical methods for measuring pesticide concentrations, such as chromatography, offer high accuracy but require expensive instrumentation, prompting the investigation of cost-effective alternatives like smartphone-based spectrophotometers. Despite their potential, these methods face challenges related to assembly and precision, often requiring human intervention to select appropriate images for analysis. This study presents a novel, affordable spectrophotometer designed for integration with machine learning algorithms. The device captures images of two spectral bands and employs a six-step image processing methodology to prepare images for analysis. A machine learning model trained on four algorithms with feature selection and cross-validation demonstrates high accuracy in predicting chemical concentrations of coloured solutions. The approach achieves 98.5 % accuracy for KMnO<inf>4</inf> and 96.7 % for Carbosulfan solutions, comparable to high-end spectrophotometry devices. The design eliminates the need for human intervention, reducing biased selection and result manipulation. However, concentration estimation of non-coloured compounds remains inaccurate, indicating areas for further refinement.
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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
;
Jinorose, Maturada
;
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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