Chemometric Technique to Determine Rice Types

Chemometric Technique to Determine Rice Types CHAPTER 1 INTRODUCTION 1.1Â  Background of Study Rice (Oryza Sativa) is a type of cereal food in which most people consumes. As acereal grain, it is the most widely consumed staple food for a large part of the worlds human population, especially in Asia [1]. Rice is perhaps the most remarkable of cultivated crops, for although possessing the roots of a dry land plant, it flourishes in swamps or under irrigation, and in Asia has produced one or more crop annually for centuries (Grist, 1965). Commercially available rice is distributed in different varieties in the market. Classification of product brands and type of products is a very active area for the application of chemometric classification procedures [2]. The use of specific sensors for characterizing foodstuffs or in this case rice is being replaced by a trend to draw on the wealth of information available from the data provided by current analytical instrumentation. The extraction of useful information from an amount of data and the optimum use of this analytical information are important objectives of chemometrics [3]. Since the infrared spectra contain significant information about all the components of a complex mixture, FTIR is a very powerful and general technique for investigating the structure of rice components. In association with chemometric treatments such as principal component analysis (PCA), vibrational spectroscopy allows classification of foods (rice) to be undertaken without any chemical analysis [2]. The main advantage is that no prior information on the sample is needed since the significant information is extracted during statistical treatment. The spectral information will constitute the experimental data which are analysed by PCA and HCA. 1.2Â  Problem Statement Research on rice till this date mostly focused on its genome in order to increase the nutritional values. An example of product that has made it through this kind of research is Golden Rice. There is very little research on focusing in determination of types of rice using combination of spectroscopy and chemometrics technique let alone combination of Infrared Spectroscopy and chemometrics. Due to this, little is known about which or what variables is responsible in the types of rice grouping when pattern recognition is applied. Hence, this research is important in identifying what variable is responsible for the grouping of samples. 1.3Â  Research Objective The aim of this study is to apply chemometric technique to determine the types of rice that will be analyze through Infrared Spectroscopy in order to assess the potential relationship between the element content and types of rice. 1.4Â  Significance of Study This study is important to determine the variables that responsible in differentiation and variety types of rice. With the combination of Infrared Spectroscopy spectra of the samples prior to grouping of samples using pattern recognition, this is a quick method to classify rice compared to the use of nuclear magnetic resonance (NMR) spectroscopy with pattern recognition or other instruments. 1.5Â  Scope of the Research In this research, type of rice to be samples is based on definition of rice’s type in Malaysia by Padi Beras Nasional Berhad [4]. There are 7 samples to be test which all of them are to acquire at local stores. Analysis of the sample will be done through Fourier Transform Infrared Spectroscopy (FTIR) and pattern recognition which include Principal Component Analysis (PCA) and Cluster analysis. CHAPTER 2 LITERATURE REVIEW 2.1Â  Rice in History Humankind progression in term of social and cultural was partly due to the discovery of agriculture. This development gave a massive impact on the way human been living their life by choosing to settle down in one place instead of constantly moving around looking for places with new food sources. Archeological evidence founds all over Asia proposed that rice must be at least eight thousand years old, thus eliminating theory that rice was among the first cereal to be cultivated due to general believed that agriculture first started around the Mesopotamian region in the valley between Euphrates and Tigris [5]. One of these is related to the extraordinary concentration of rice production in a small part of the world. Approximately 90% or more of the world’s rice is produced in the relatively tiny area in south, southeast and northeast Asia which often be refer to as ‘rice country’ [6]. Rice is produced in a wide range of locations and under a variety of climatic conditions, from the wettest areas in the world to the driest deserts. It is produced along Myanmar’s Arakan Coast, where the growing season records an average of more than 5100mm of rainfall, and at Al Hasa Oasis in Saudi Arabia [5]. Rice plays a major role economically, especially in countries where rice is considered as the main food. This is more accurate in most countries in Asia, because not only they consume rice daily, but also Asia is the main producer of rice [1]. Country like China, India and Thailand have long played major role in the development of rice, economically. The success of the crops not only important to the grower, but also affect the community either directly or indirectly [1]. 2.2Â  Types of Rice There are dozens of different ways to classify the scores of types of rice from all over the world, but rice is generally described as being long-, medium- or short-grained [5]. These are some of the most common types youll find in supermarkets andgourmet stores, as well as a few specialty rices that were seeing more and more often. In the world market as well as in Malaysia, much emphasis is placed on grain length and whiteness as a criterion of grade and quality. Other factors such as palatability characteristics (appearance, cohesiveness, tenderness and flavor) also constitute as important considerations in quality grading [4]. In Malaysia, the main varieties of rice found in retail outlets are ordinary local and imported white rice, brown unpolished rice and specialty rice such as fragrant rice, Basmati, parboiled and glutinous rice. The main criteria in the classification are length of grain, content of head rice, content of broken rice and milling degree [7]. 2.3Â  Fourier Transform Infrared Spectroscopy (FTIR) Fourier Transform Infrared Spectroscopy (FTIR) provides specific information about chemical bonding and molecular structure, making it useful for analyzing organic materials and certain inorganic material. It can be utilized to quantitative some components of an unknown mixture. It can be applied to the analysis of solids, liquid and gasses. The term FTIR spectroscopy refers to a fairly recent development in the manner in which the data is collected and converted from an interference pattern to a spectrum [8].When the material under investigation is put into an FTIR spectrometer, it will absorb the radiation emitted and the successful absorption will display the uniqueness or fingerprint of the material under investigation [9]. Samples for FTIR can be prepared in multiple ways depending on its physical state. For solid samples, it will be ground into a fine powder with an agate mortar and pestle with an amount of the suspending salt, which usually be KBr due to it being transparent to infrared radiation. This powder is then compressed through a bench top hydraulic press into becoming a thin pellet which can be analyzed [10]. Another method to prepare solid samples is by dissolving it in a suitable solvent such as methylene chloride and the solution is dropped onto a salt plate. After the solvent evaporates, a thin-solid film of the compound remains on the plate [11]. Meanwhile, liquid samples can be examined directly as a thin film between two sodium chloride plates. 2.4Â  Chemometrics The term chemometrics was coined in the 1970s and is defined as the chemical discipline that uses statistical and mathematical methods for selecting and optimizing analytical and preparative methods, as well as procedures for the analysis and interpretation of data [12]. 2.4.1Â  Pattern Recognition The overall goal of pattern recognition is classification. Developing a classifier from spectral, chromatographic, or compositional data may be desirable for any number of purposes including source identification, presence or absence of disease in a patient or animal from which the sample has been taken, and food quality testing to name just a few [13]. The classification step is often accomplished using one of several techniques that are now fairly well established including PCA, HCA, KNN, statistical and regularized discriminant analysis. Techniques of pattern recognition are applicable to data drawn from virtually any physical process. The data may be qualitative, quantitative, or both which is they may be numerical, pictorial, textural, linguistic, or any combination thereof. Meanwhile, one of the most important and oft-used data analysis methods is the eyeball technique, Subjective assessment of data patterns has long been a method accepted by many traditional data analyzers. Statistical analysis proceeds slowly by hand, more rapidly with hand calculators and can be quite fast with modern computers [14]. CHAPTER 3 RESEARCH METHODOLOGY 3.1Â  Samples A total of 7 different samples of rice will be use for this study. All of the samples will be obtain from various supermarkets and grocery stores in Johor Bahru and Seremban area. Various brands and types of rice are selected in order to get as much variation as possible. 3.2Â  Analysis of Sample Spectra of the rice samples will be acquired using (model number) instrument with KBr disc. The wavelength is set up to range from 4000cm-1 to 400cm-1. 3.3Â  Software Chemometrics analysis is the main part in this research as the data obtained from spectroscopic analysis will be analyses so that the important data can be identified and useable information can be deduced from the data. The key to chemometrics is to understand how to perform meaningful calculations on data. In most cases these calculations are too complex to do by hand or using a calculator, so it is necessary to use some software. Three softwares will be use for the data analysis as listed in table below. 3.4Â  Procedures CHAPTER 4 RESULT 4.1Â  Expected Result It is expected that Principal Component Analysis (PCA) will reveal multiple grouping due to different types of rice being used as samples. Furthermore, by comparing the score plot with the loading plot, the unknown variable that causing the samples to be group as it is will be identify. REFERENCES Calpe, C. (2006). Rice: International commodity profile.Rome: Food and Agricultural Organization of the United Nations. Brereton, R. (2009). Introduction. InChemometrics for pattern recognition(pp. 1-24). Chichester, U.K.: Wiley. Brereton, R. (2002). Intro. InAn introduction to chemometrics: Data analysis for the laboratory and chemical plant(pp. 1-12). New York: Wiley. RICE TYPES IN MALAYSIA. (2011). Retrieved October 16, 2014, from http://www.bernas.com.my/index.php/rice-types-in-malaysia Bhattacharya, K. (2011). An Introduction to rice: Its Qualities and Mysteries. InRice Quality a Guide To Rice Properties And Analysis.(pp. 1-18). Burlington: Elsevier Science. Wong, L. C., Emrus, S. A., Bashir, B. M., Tey, J. Y. (2010, June). Malaysian Padi Rice Industry: Applications of Supply Chain Management Approach. In National Rice Conference Swiss Garden Golf Resort Lumut(pp. 28-30). Grist D. H. (1986). Tropical Agricultural Series. Rice, 6, 3-12, Longman Group Limited. Introduction to Infrared Spectroscopy. (2011) Fundamentals of Fourier Transform Infrared Spectroscopy, Second Edition (pp. 1-17): CRC Press. King, PL, Ramsey, MS, McMillan, PF, Swayze, G. (2004). Laboratory Fourier transform infrared spectroscopy methods for geologic samples. Infrared Spectroscopy in Geochemistry, Exploration Geochemistry and Remote Sensing, Mineralogical Association of Canada, Short Course, 57-91. Hauser, Martin, Oelichmann, Joachim. (1988). A critical comparison of solid sample preparation techniques in infrared spectroscopy. Microchimica Acta, 94(1-6), 39-43. Stuart, Barbara. (2000). Infrared Spectroscopy Kirk-Othmer Encyclopedia of Chemical Technology: John Wiley Sons, Inc. Beebe, k.R, Pell, R.J., Seasholtz, M.B. (1998). Chemometrics: A Practical Guide. New York. John Wiley Sons, Inc. 61-65. Lavine, B., Workman, J. (2010). Chemometrics.Analytical chemistry,82(12), 4699-4711. Theodiridis, S., Koutroumbas, K. (2006). Pattern Recognition, Third Edition. Amsterdam, Boston. Academic Press. 1.

Starbucks Global Strategy :: GCSE Business Marketing Coursework

Starbucks Global Strategy De Wit and Meyer (1998) refer to market tendency towards homogeneous variety and tighter international linkages as globalization. The need for global strategy is outlined by the fact that companies are subject to global forces and consumer demands. As a consequence, firms are faced with a challenge of modifying their existent strategies to gain and sustain their competitive advantage in a rapidly changing environment. A well-designed global strategy can help a firm to gain a competitive advantage, that as identified by Sumantra Ghoshal of INSEAD can arise from Efficiency, Strategy, Risk, Learning and Reputation (Appendix1). Therefore, to create a successful global strategy, managers first must understand the nature of global industries and the dynamics of global competition. I would like to proceed with my analyses of the global market place, with examination the young but already well recognized brand world wide ? Starbucks. In my research I will explore on changes in the product, operations, and strategies at Starbucks influenced by the changes in the global marketplace. Due to word limitation on the essay, please refer to Appendixes for more detailed information. Starbucks Corporation "There is untapped potential to grow our company internationally," Schultz said. Headquarters: Seattle, Washington www.starbucks.com Ownership: Starbucks is publicly traded -- shares are widely held 150 million shares have been authorized, of which 59.6% are on the market. History: Howard Schultz, 42, is the founder of the Company and has been chairman of the board and chief executive officer since its start in 1987. The Company originated with eleven Seattle stores and less than one hundred employees. Since them the company has grown to a half billion-dollar company serving millions of cups of coffee per week in one thousand stores throughout the country, and in 17 countries internationally. Schultz believes his company will succeed well into the twenty-first century. He states, "One of the things that you can't measure on a balance sheet or on a financial statement is the soul of Starbucks." The Company holds approximately 39 federal trademark registrations in the United States. They have approximately 44 additional applications pending in the U.S. The Company currently owns one patent in the U.S. for its coffee on tap system and has several patent applications pending. Starbucks prides itself on being a "good citizen" locally and in the various coffee producing countries. They make significant contributions to local charities that focus on children, the environment, the homeless, and AIDS research/support.

Operating system with inputs, transformation process and outputs Essay

The operating system that I have chosen is a particular service operation: the realisation of a music concert. As every other organisation that produce goods or services, it has a precise operating system, composed by a range of inputs, a transformation process and a final output. INPUTS – We must distinguish between two different kind of resources: transformed resources, that are the resources treated and transformed in some way, and transforming resources, that are the resources that act upon the transformed resources. The transformed resources are usually materials, information and customers; very often one of these is dominant. A concert, like many other service operation, is predominantly a customer processing operation. The main task of the musicians, and therefore also of the organisers, is to process audience in a way in which satisfies their public, maximising their enjoyment. There is of course a very high contact between audience and operation; in fact a concert is a typical example of an operation in which satisfaction is measured by customers perceptions, that are subjective. That means that is quite difficult to measure and control them. So, for example, the administrators of a music hall, following the music market sales, should try to have as a guest only the most successful musicians of the moment. The other transformed resources, together with audience, is the building converted or arranged for the concert. It can be a music hall, a stadium, an indoor stadium or merely an open park, in any case it goes through a complete transformation of its appearance and its utilisation. As regards the transforming resources, there are two different types: facilities and staff. Facilities are all the materials used to prepare the building for the concert. Depending on the location of it, they can have some differences, but surely there must be a stage, a checkpoint, lights and all musical and technological equipment (instruments, cables, microphones, mixer, etc.). Then, not always, there could be seats, banisters, changing room, toilets,  bars, and checkrooms. Staff are all the people in the operation, at any level, who carry out the concert. The most important are obviously the musicians: if music concert is the product, the skills of musicians are the human capital of the entire process. But besides them a music concert needs also technicians, stage assemblers, security guards and box-office attendants. TRANSFORMATION PROCESS – The transformation process is the music played for the audience, the concert itself, together with all other aspects of exhibition. The whole process usually does not cover more than one day. We can say that this kind of customer-processing operation is concerned with transforming the psychological state of the audience, which is typical for most entertainment services, such as theatre, television and radio. OUTPUTS – The output of a music concert is first of all the entertained audience, but we cannot forget to mention the importance of having guaranteed security for all the people inside the building. The general characteristics of these outputs are the same that distinguish outputs of every organisation that produces services from outputs of organisation that produce goods: not tangible, non-storable, untransportable and simultaneous (in other words produced and consumed at the same time). Just the exact opposite of a normal good. Another difference between goods and services, as said before, is that the quality of goods is reasonably evident, it is measurable. But in a concert it is a little bit more complicate. The customer is inside the operation, he judges not only the outcome of the service (the music), but also the aspects of the way in which it was produced (all the rest of the scene). The input-transformation-output model can also be used within operations. All operations are made up for several units or departments, witch themselves act as smaller versions of the whole operation, with their own resources and their own outputs. So any operation can be considered as a hierarchy of operations. This is more true for greater manufacturing operation than the  ours, but also inside a music concert we can distinguish some different micro operations, as stage operations, location for audience, performance realisation.

The Negative Impact on a Womans Self Esteem - 816 Words

Fatema Mernissi, â€Å"Size 6: The Western Womans Harem,† (274) explains how American Society can put a negative impact on a womans self esteem because of their harsh expectations. She puts the blame on the American mans requirements that a woman be a size four or six to be considered desirable. Our society is obsessed with the thought of being thin. The media puts out a harsh influence on how our young girls are suppose to look and act. These kind of expectations cause eating disorders and very low self esteem problems that could result in suicide. Could it be our expectations of a womans body image to be skinny is just as cruel as the veiling laws in Eastern women. In America we dont define our beauty anymore. Its the media that defines what beauty is and this influences our young women on how they view themselves. We tell each other that beauty is only skin deep. 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