eChapters

DNA Migration in Agarose and Polyacrylamide Gels

Recommended Gel Percentages for Separation of Linear DNA

Instrumental methods of chemical analysis are the quantitative methods of analysis that use, as principal measuring devices, instruments other than those employed in conventional gravimetric and volumetric determinations.

The main basis for this method of analysis is the physical property of any particular element or compound being analyzed. These properties include:

Introduction

We are blessed with solar energy in abundance at no cost. The solar radiation incident on the surface of the earth can be conveniently utilized for the benefit of human society. Solar energy can be used as thermal energy for water heating, cooking, drying, distillation, space heating, cooling and power generation or it can be converted to electricity through photovoltaic cells, commonly known as solar cells. One of the popular devices that harness the solar energy is solar hot water system (SHWS). Flat plate collectors are used for low temperature applications (below 100^oC) while concentrators are preferred for higher temperatures. The most efficient application of flat plate collector is for getting hot water. Hot water in winter is an essential requirement for domestic uses such as bathing, cleaning of utensils and washing of clothes. In rural areas hot water is also required for softening of animal feed. Generally it is obtained by using firewood and cow dung cake in rural areas or using kerosene, liquid petroleum gas, coal or electricity in urban areas. Therefore, the use of solar water heaters will conserve lot of commercial and non-commercial fuels which are being wasted in merely getting hot water. A solar water heating system (SWHS) is made of several important elements: one or more solar collectors, a pump, a heat exchanger, a storage tank (or multiple tanks) and a back-up storage tank. The Solar heating system can be classified as passive or active. For water heating purposes, the general practice is to use flat plate solar energy collectors (FPC). The evacuated tube collectors (ETC) and evacuated tube heat pipe collectors (ETHP) are more efficient, though, the initial cost is comparatively higher. There are three type of water heaters extensively studied by various workers viz. natural circulation, collector-cum-storage and forced circulation in all over the world.

1.1. IMPORTANCE OF FOOD MICROBIOLOGY

Food may be defined as substances that provide nutrients, which when eaten and absorbed by the body, maintain life and growth. Food is basically energy stored in plant and animal foods in chemical form. On consumption, the stored form gets converted to physiological energy. Food is the prime necessity of life. Man has exhibited much thought and foresight in cultivating a variety of grains, fruits, vegetables, nuts and oilseeds and in rearing birds and animals for use as food.

Of the three primary needs of an individual, food, clothing and shelter, ‘food’ occupies the most important place. The biodiversity of foods- cereals, millets, pulses, oilseeds, spices, fruits and vegetables is varied and high in India, where we have varied agro-climatic regions from Kashmir to Kanyakumari. All the fifteen major climates in the world exist in India. India is the second largest producer of food in the world. The impact of green revolution is remarkable in India with many fold increased food production in the last five decades. The full potential of Indian agriculture can not be realized unless India emerges as a major player in the World agriculture.

World population is set to go beyond nine billion by 2050 and demand for food is likely to increase further because of growing affluence and globalization. Food security is achieved when all people have physical and economic access to sufficient, safe and nutritious value added food. India is emerging as a food power in the international trade of foods. The food processing industry in India has been identified as one of thrust areas for the development of the country. It has emerged as a highly perspective sector with immense potential in food processing. The future of Indian food processing industries is bright, provided it improves its quality of products as per international standards.The quality of food processing refers to the adherence of physical, chemical, biological, nutritional and sensory parameters required to achieve the wholesomeness of a food product. Quality control has become an important aspect for food processing industry for both domestic and export markets.

Introduction

Solar refrigeration technology engages a system where solar power is used for cooling purposes. It offers a wide variety of cooling techniques powered by solar collector-based thermally driven cycles and photovoltaic (PV)-based electrical cooling systems. Cooling can be achieved through four basic methods: solar PV cooling, solar thermal cooling, solar thermo-electrical cooling and solar thermo-mechanical cooling. The first is a PV-based solar energy system, where solar energy is converted into electrical energy and used for refrigeration much like conventional methods. The second method utilizes a solar thermal refrigeration system, where a solar collector directly heats the refrigerant through collector tubes instead of using solar electric power. The third one produce cool by thermoelectric processes. The fourth method converts the thermal energy to mechanical energy, which is utilized to produce the refrigeration effect.

The performance of solar refrigeration systems is determined based on energy indicators of these systems. The COP (coefficient of performance) can be calculated as follows:

Introduction

The process of setting up a business is preceded by the decision to choose entrepreneurship as a career and identification of promising business ideas upon a careful examination of the entrepreneurial opportunities. Generation of ideas is not enough; the business ideas must stand the scrutiny from techno economic, financial and legal perspectives. That is, after the initial screening of the ideas that do not seem promising prima facie, you should conduct an in-depth examination of the chosen three-four before settling for the one where you would like to exert your time, money and energies. You should prepare a business plan that will serve as the road map for effective venturing, whether you may require institutional funding (in which case it is necessary to do so) or not. Setting up of new business enterprises is a very challenging task; you are likely to encounter many problems en route. It’s advisable to be aware of these problems.

Molecular diagnostic laboratory set-up has basic requirements of space, laboratory benches and equipments. In terms of laboratory space, minimum four chambers, one each for sample preparation and nucleic acid extraction, PCR reaction mixture preparation, thermal cycling and gel analysis are required. In addition there should be sufficient space for storage of consumables and laboratory wares. In addition, there are some laboratory equipments which are needed in a molecular diagnostic laboratory. In the following section the equipments of a molecular diagnostic laboratory are discussed. The pictures are taken from the instruments present in the laboratory of the author. The purpose of this chapter is to introduce the reader to a molecular diagnostic laboratory. None of the pictures below are meant for promotion of any particular brand or manufacturer.

3.1 UV-VIS spectrophotometer

A spectrophotometer is required for determining the quality and quantity of nucleic acids extracted from a sample. Photometric research applications such as DNA, RNA and protein analysis can be carried out in a UV-Vis Spectrophotometer. There are various units that feature a broad wavelength range (including UV area), path length correction and a fast reading speed. Various instruments also provide an interface that allows quick measurements directly from the instrument or comprehensive easy-to use software for demanding assays.

The processing operations are carried out based on the principle of physical differences found in a seed lot.

Soil chemical properties determine the availability, retention and movement of nutrients and strongly influence plant growth under irrigated conditions. This chapter introduces the fundamental chemical characteristics of soils, with particular emphasis on exchangeable bases, cation exchange and anion exchange. Cation exchange capacity (CEC) is discussed as an important indicator of the soil's capacity to retain and exchange nutrient cations. The chapter explains the principles and reactions involved in cation exchange, cation selectivity and the determination and expression of CEC. Relationships between CEC, soil pH and particle size are also considered, together with the concept of base saturation. These properties are important for understanding nutrient availability and fertilizer management in different soil types. The chapter further introduces the mechanism of nutrient uptake by plant roots, linking soil chemical reactions with plant nutrition. Understanding these processes provides an essential basis for managing soil fertility, improving nutrient-use efficiency and maintaining productive irrigated soils.

Microbiology is the scientific study of microorganisms, including bacteria, fungi, algae, protozoa and viruses, and their interactions with plants, animals and the environment. Microorganisms are microscopic in size but have enormous importance in agriculture, food production, environmental management and biotechnology. In agricultural systems, microorganisms contribute to decomposition of organic residues, nutrient cycling, soil fertility, plant growth and suppression of harmful organisms. Beneficial microorganisms also form associations with plant roots and improve nutrient availability and plant health. At the same time, certain microorganisms cause plant diseases, food spoilage and environmental contamination. Agricultural microbiology applies the principles of general microbiology to understand these beneficial and harmful activities in farming systems. This chapter introduces the scope and importance of microbiology, major groups of microorganisms, basic laboratory concepts and their applications in agriculture. An understanding of microbial structure, metabolism, diversity and ecological functions provides the foundation for studying soil microbiology, plant–microbe interactions, biotechnology and environmental remediation.

6.1 Soil

The term ‘soil ’is defined in various ways depending on the general professional field in which it is used. However to an agriculturist, soil is the substance existing on the earth surface, which grows and develops plant life. For an engineer, soil is the unaggregated deposits of mineral and organic particles covering major part on the earth crust. It includes widely different materials like boulders, sand, gravel, clays and silts. Soil is produced by the weathering of solid rocks. The formation of soil is due to geologic cycle continuously taking place on surface of the earth. The geologic cycle comprises weathering or denudation, transportation, deposition and upheaval, again followed by the above mentioned processes. Weathering may be natural or artificial. In natural weathering, physical processes like temperature changes, flow of water, ice, wind and rain play the role. In artificial weathering animals especially human beings interference causes soil erosion and formation.

Statistics is defined as a discipline that includes procedures and techniques used to collect, process, and analyze numerical data to make inferences about the data. The word statistic is used as a singular, denoting the numerical data. Statistics are the numerical quantities calculated from sample observations. Here, the word statistics hence is plural. Basically, statistics is defined as the statistical data (in the plural sense) and also as statistical methods (in the singular sense). A clearer and more precise definition is that ‘statistics is the study of methods and procedures for collecting, classifying, presenting, analyzing, and interpreting data to make scientific inferences from it’. Bio statistics is the science dealing with the application of statistical methods to the problems of biological sciences.

2.1 FUNCTIONS OF STATISTICS

a) To present the facts in a definite form: If the data or results are given in numbers, rather than in qualitative statements, they will be more useful. The statements like ‘there is a considerable amount of unemployment in a country or the human population in a state is increasing at a faster rate’ are not in definite forms. The statements should be in definite form like there is a 15 percent unemployment in 2023 or the population is increasing by 5 percent every decade.

In this chapter, the essentials of basic statistics are explored, with a focus on obtaining all key measures of basic statistics with just a single click. Additionally, the process of creating informative data distribution graphs is also explained.

Basic Statistics

Basic statistics offer fundamental tools that help us to make sense of data. Below, you’ll find concise descriptions of key basic statistical measures.

i. Arithematic mean (average)

The average represents the central value of a dataset, calculated by summing all values and dividing by the number of data points.

ii. Median (middle value)

It is the middle value in a dataset when all values are arranged in ascending order. It’s less sensitive to outliers.

iii. Mode (most common value)

The mode is the value that appears most frequently in a dataset.

iv. Variance

Variance measures how much individual data points deviate from the mean. A higher variance indicates a greater spread.

v. Standard deviation

The standard deviation is the square root of the variance. It provides a measure of how spread out the data is.

vi. Range

It is the difference between the maximum and minimum values in a dataset.

Statistics involves procedures for collection, classification, analysis, interpretation and presentation of numerical data (Gupta, 1997). Statistical investigations involves four stages ie. collection of data, compilation of data, analysis of data and drawing inferences. For any statistical analysis, first step is data collection which constitutes the foundation for statistical analysis. The required data may be obtained either through survey or an experiment. Survey is the process of collecting data from a population but have no control over the factors which may affect the population characteristics under study, whereas in experiment, data is collected while control is exercised over the factors which may affect the population characteristics under study. Experiments always and almost provide better information than the survey but surveys are necessary in natural populations. When data is not available, it is collected by any of the two methods i.e. census or survey method. In census method, data are collected for each and every unit of the population whereas in sample method a representative sample is drawn from the population on the basis of which all the conclusions are drawn about the population from that sample.

Introduction
Statistics is a field of mathematics that pertains to data analysis. Statistical methods and equations can be applied to a data set in order to analyze and interpret results, explain variations in the data, or predict future data. A few examples of statistical information we can calculate are:
Average value (mean)

Wool serves as a dense, wavy, and fibrous protective layer for sheep, primarily made up of the insoluble protein keratin. The wool fiber develops from follicles located in the dermis, which is the skin’s middle layer. Each wool fiber comprises two distinct layers:
1. Outer layer: This layer consists of flat, irregularly shaped scales that overlap, resembling fish scales. These scales are less tightly bound than those found in hair and are essential to the wool’s characteristics, such as its capacity to shrink, strengthen, and felt. The outer layer also affects the overall quality of the wool. While the sheep is alive, the outer scales are coated with wool sweat or grease (termed suint), secreted by specialized glands to preserve the fiber’s condition. This grease can be partially removed during washing, and its presence influences the wool’s condition, which pertains to the quantity of grease or oil present in the wool.
2. Inner layer: Known as the cortex, this layer is composed of long fibrils that are bonded together. In contrast to hair, which contains an air-filled medulla in its inner layer, wool does not possess this feature, contributing to its superior strength compared to hair.
Morphological Structure of Wool: Technically, wool comprises three layers: cuticle or epidermis, cortex and medulla.
1. Cuticle: The outermost layer of the wool fiber, referred to as the cuticle, is made up of flat, irregularly shaped scales that overlap with their edges directed toward the fiber tip. This overlapping configuration, akin to roof tiles, produces a rough texture that increases friction and aids in felting. When disturbed, these scales interlock, leading to the entanglement of fibers and the formation of a matted fabric, which is beneficial for felted textiles. Additionally, the cuticle possesses a waxy coating that offers a water-repellent barrier, preventing water penetration while permitting moisture vapor absorption, thereby enhancing wool’s resistance to water-based stains and improving comfort by wicking moisture away.

Wool is a thick and wavy animal fiber makes fibrinous protective covering of sheep. There are 170 different types of proteins are found in wool but the major and foremost protein is keratin. It is insoluble in nature and forms most of the part of wool. True wool fiber is basically modified hair that is not shed like the hair of most farm animals and medulla is absent in true wool. Wool contains excessively scaly surface but hair surface is mostly smooth, less elastic. The matured keratinized fiber extruding above the skin is considered dead tissue. Wool fiber is basically originated from follicle situated in dermis or middle layer of skin. Wool fiber is elastic, hygroscopic, retains warmness, durable, non inflammable and transmits ultra-violet light.

For the accurate identification and diagnosis of plant disease and plant problems a foundational knowledge of terms and definitions is vital for developing concepts, doing research, discussing and communicating issues and providing clarity to your work. The following terms and definitions are basic to the study of plant pathology. They are, however, just a brief introduction to the vocabulary of the science. If you have limited or no background in the subject and you are just getting started, the concepts and terminology of plant problems can seem somewhat daunting. However, your vocabulary and skill will develop through exposure to diagnostics, experience and correct use of the appropriate terms.

Plant pathology is the study of plant diseases and the abnormal conditions that constitute plant disorders. Etiology is the determination and study of the cause of disease. A pathogen can be living or non-living, but usually refers to a live agent. A pathogen is an organism which causes a disease. Pathological is a condition of being diseased. Pathogenic is having the characteristics of a pathogen and pathogenicity is the capability of a pathogen to cause a disease.

A plant disease is an abnormality in the structure and/or function of the host plant cells and/or tissue as a result of a continuous irritation caused by a pathogenic agent or an environmental factor. A disease is not static; it is a series of changes in the plant. All plants, to some extent, are subject to disease. Plant disease is the result of an infectious, or biotic agent or a noninfectious, abiotic factor. Plant injury is an abrupt alteration of form or function caused by a discontinuous irritant. Plant injury includes insect, animal, physical, chemical or environmental agents.

A causal agent is a general term used to describe an animate or inanimate factor which incites and governs disease and injury. A causal organism is a pathogen of biotic origin. When a pathogenic agent is virulent it can cause disease and if the agent is avirulent it is a variant of a pathogen that does not cause severe disease.

Accuracy

The degree of closeness of the determined value to the nominal or known true value under prescribed conditions. This is sometimes termed trueness.

Analyte

A specific chemical moiety being measured, which can be intact drug, bio molecule or its derivative, metabolite, and/or degradation product in a biologic matrix.

Analytical run (or batch)

A complete set of analytical and study samples with appropriate number of standards and QCs for their validation. Several runs (or batches) may be completed in one day, or one run (or batch) may take several days to complete.

Biological matrix

A discrete material of biological origin that can be sampled and processed in a reproducible manner. Examples are blood, serum, plasma, urine, faces, saliva, sputum, and various discrete tissues.