eChapters

Abstract

The cereal grains are grown around the world, the most common is wheat, which accounts for one third of the total grain crop worldwide. In addition to providing energy, whole grains contain several key nutrients, including fibers, lipids, B vitamins and minerals as well as other beneficial components such as phenolic acids, flavonoids, lignans and phytosterols. Several of these components function as antioxidants. While multiple studies have been conducted to analyze antioxidants in different grains. In wheat and other grains, naturally occurring phytonutrients with antioxidant activity include phenolic acids, flavonoids, coumarins, polyphenols, phytates, terpenes, carotenoids, tocopherols and tocotrienols. Potential roles of the naturally occurring antioxidants in grains include free radical scavenger, reducing agent, complexation of prooxidant metals, quenchers of singlet-oxygen molecules and antioxidant defense enzyme system activators for biological systems. Wheat grain contains several components that have potential antioxidant activity and thus may have a protective role in human health. Traditional wheat-based breakfast foods include hot and cold ready-to-eat (RTE) cereals, as well as a variety of yeast-leavened and chemically leavened bakery products. Increasing baking time and temperature increases antioxidant activity in the bread crust and lowers antioxidant activity in the bread crumb portion. Wheat and wheat based products, particularly partial and 100% whole grain products have been shown to provide a variety of beneficial components including fiber, vitamins, minerals and other phytonutrients with antioxidant activity. Scientific evidence indicates that consumption of three or more ounce equivalents of whole grain foods per day may reduce the risk of coronary heart disease, type 2 diabetes and certain cancers and help with weight management.

Abstract

Dietary antioxidants can be found naturally in various fruits, vegetables and food products.Typically, antioxidant phytochemicals commonly found in food products are Vitamin C, Vitamin E, carotenoids, polyphenols, melanoidins and indoles. The main characteristic of an antioxidant is its ability to scavenge free radicals and form stable end product which inhibit the chain oxidative mechanisms that lead to degenerative diseases which are harmful to human health. Drying is widely used in food processing to minimize food wastage and to extend food shelf-life. Pretreatment, drying methods and storage conditions are some of the processing parameters affecting the quality of dried products. Selection of processing conditions and storage environment are therefore critical in maximizing the retention of food antioxidants. This chapter aims to compile and summarize studies carried out for antioxidants namely antioxidant contents in dried food products, effect of processing parameters and quantification methods in the analyses of antioxidants.

Introduction

Casein has been widely used as a substrate for measuring the trypsin inhibitor activity of natural trypsin inhibitors such as those which occur in Soybeans and other legume. The most common method employing casein is the one originally described by Kunitz (1947) which involves the spectrophotometric determination of the breakdown products produced by a given concentration of trypsin in the presence and absence of the inhibitor. On the other hand, the tryptic hydrolysis of a synthetic substrate such as benzoyl-DL-arginine-p-nitroanilide (BAPA), first introduced by Erlanger et al. (1961), does follow a zero order reaction, and one obtains, within broad limits, a linear relationship between the quantity of p-nitroaniline released and the concentration of the active enzyme. Although BAPA has been used for assaying the antitryptic activity of soybean fractions (Sambeth et al., 1967).

Biosensors are the next generation detection devices, use biological sensing elements like enzymes, nucleic acids, antibody, cells, organelles, tissues, receptors; have got varied applications in the field of drug discovery, diagnosis, biomedicine, food safety and processing, environmental monitoring, defense and security etc. Microbial biosensors are analytical device that uses naturally occurring or engineered microbial cells as the recognition elements to detect physiological changes in cells with the help of suitable physicochemical transducer.

Introduction

Statistics generally refers to information about an activity or a process that is expressed in quantitate as well as qualitative traits. The quantitative research process is well structured whereas the qualitative one is fairly unstructured. It depends upon how a piece of information have been collected and analyzed. A good researchers need to have both types of skill. This article highlights about the operational procedure, about methods, procedures and techniques that are used in analysis of climate related data.

Parameter vs Statistic

When a data is collected with survey of all the individuals (like in a census) and analysed for certain values, it is called a parameter. But when, we guess the same value with a random sample and interpret for whole population it is called a statistic. Environmental parameters are: mean, variance, correlation, regression, heritability, repeatability etc. Again, there are two types of variables: quantitative and qualitative. Quantitative variables can take any value in a specified range. So, they are of continuous type. But qualitative variables are very few types ( 2 ,3 or 4 types) and they are of discrete type. Body weight is an example of quantitative variable whereas, comb type is a qualitative variable.

Good livestock welfare practices demands thorough understanding of the basic nature of the animal. The science of understanding the details of animal behaviour is known as Ethology.  Knowledge about the behaviour of the species being reared proved as an important tool for implementing animal welfare in practical husbandry practices. Now a day’s global community is also advocating for the better livestock welfare standards. Exploiting animal’s natural behaviour could certainly prevent unnecessary sufferings related to handling and restraining during routine farm activities. On the one hand this ensures physical and mental welfare of livestock, while on the other hand improvement in the production is guaranteed. Without involving heavy investment behavioural knowledge based management interventions can bring paradigm shift in welfare status of farm. Therefore, behavioural studies are of great importance in increasing our understanding and appreciation of animals.

Introduction

Natural Disasters are inevitable, and Indian subcontinent is prone to all type of Natural Disaster either it is flood, drought, cyclone, earthquakes, tsunami or forest fires etc. Disasters can be classified in several ways. A possible sub-division of disaster is: (i) Natural Disasters; (ii) Human made disasters; (iii) Human induced disasters. Another sub-division is related to the main controlling factors leading to a disaster. These may be meteorological, geomorphological/geological, ecological, technological, global environmental and extra terrestrial. Another useful distinction that can be made between disasters is regarding their duration of impact and the time of forewarning. Some disaster strikes within a short period with devastating outcomes; others have a slow onset period with equally or more serious repercussions. According to the available statistics 60% of the total area of Indian subcontinent is venerable to seismic activity of varying intensities, 16% of the country’s total area is drought prone. In India 68% of total sown area of the country is drought prone. Coastal areas of India is exposed to tropical cyclones, tsunami in recent years and among all the disaster occur in the country, River floods are the most frequent and often the most devastating.

Brief History

1953: discovery of the molecular structure of DNA

1961-1965: decoding of the genetic code

1977: first method developed for DNA sequencing

1980: the principle of genetic mapping by anonymous molecular markers

1987: first “automatic” DNA sequencing machine developed

1990: publication of the BLAST algorithm for the comparison of DNA sequences

Introduction

Nanotechnology and nanoparticles are increasingly recognized for their potential applications in various aspects of human animal and animal welfare like development of various healthcare or cosmetic products, nano-electronics and techniques for environmental remediation, and many consumer products. Nanoparticles, by definition, are structures that have one dimension in the 1–100 nm range. Nanotechnology involves the application of materials at the nanoscale to new products or processes. Over the past few decades, inorganic nanoparticles, whose structures exhibit significantly novel and improved physical, chemical, and biological properties, phenomena and functionality due to their nanoscale size, have elicited much interest. Nanophasic and nanostructure materials are attracting a great deal of attention because of their potential for achieving specific processes and selectivity, especially in biological and pharmaceutical applications. Nanotechnology has made a new generation industrial revolution by developing product and formulations for medical, agriculture (nano-fertilizers, nano-herbicides, nano-pesticides, recalcitrant contaminants from water, nano-scale carriers, nanosensors), veterinary care, fisheries and aquaculture, detection of nutrient deficiencies, preservation, photocatalysis, nanobarcode, quantum dots etc. It is a rapidly growing industry currently worth billions of U.S. dollars, with many potential benefits to society. Nanotechnology has the environmental applications to protect climate change and environmental pollution as nanocatalyst, light weight nanocomposite materials, nanocoatings, improved renewables and nanosensors.

This fast growing technology is already having a significant commercial impact, which will certainly increase in the future. Because of their widespread application, the commercial nanotechnology industry is predicted to increase significantly to more $3 trillion in few years. While nanotechnologies offer many opportunities for innovation, the use of nanomaterials in food, agriculture and environment has also raised a number of safety, environmental, ethical, policy and regulatory issues.

Starch is the most abundant polysaccharide carbohydrate reserve which is available in different parts of plants such as roots, stem, leaves, seeds, flowers, and fruits. It is considered an excellent source of energy and plants utilizes carbon from it for their metabolic activities (Smith, 2001). It is composed of glucose units linked together by glycosidic bonds to form amylose and amylopectin polymeric chains (Abbas et al., 2010).

The term nanoscience defines controlling or modifying the shapes and sizes of the materials such that they lie in the range of a nanometre (1 nm = 10^-9 m) scale, typically 1-100 nm (Chavada et al., 2016). The application of these materials and systems by their suitable designing and production is what is known as nanotechnology. Richard Feynman, in 1959, first discussed the possibility of this advanced technology. However, the term was first used by Norio Taniguchi in 1974 (Chavada et al., 2016).

• A project is a specific plan or design presented for consideration.

• It is a location specific activity with specific objectives, time and cost limitations and of non-repetitive nature.

• In banking, projects refers to an activity in which financial resources are expended to create capital assets that produce benefits over an extended period of time and which logically lends itself to planning, financing and implementing as a unit. Whereas, UNIDO defines a project as a proposal for an investment to create and or develop certain facilities in order to increase the production of goods/services in a community over a certain period of time.

• Projects are common term used by many to denote specific action plans.

• Project can be long term or short term, limited or comprehensive, single sector concentrated or multi sector concentrated.

The last two decades have seen rapid growth and development in the industrial sector as well as urbanization has increased. Due to globalization and mass production of commodities, the situation in the modern world nothing like ever before. Food and dairy industries are also not left out from this massive expansion. Due to changing behavior and food consumption habits too, there has been a surge in the risk of foodborne illness. This has created a problem in terms of public health and sustainability

Introduction

India is considered as the “Home of Spices”. They are a prized group of minor components and have been an integral ingredient of Indian diet. Since antiquity, spices form an important part of the Ayurvedic Pharmacopoeia (The Indian System of Medicine), with their widespread traditional use. With its wide climatic conditions and topographical features, India naturally possesses wide variety of medicinal flora. The country enjoys the distinction of being the largest producer and consumer of spices as well as the fastest growing spice market in the world.

Spices are potent plant foods that possess a wide range of nutrient bioactive compounds that contribute to improve health, while adding variety, colour, flavour and aroma to daily diet. The term spice or condiment applies to “such natural plant or vegetable products or mixtures thereof, in whole or ground form, as are used for imparting flavour, aroma and piquancy to and for seasoning food” (Sikri and Berwal, 2008).

Webster (2011) describes spices as ‘Any of various aromatic vegetable productions as pepper, cinnamon, nutmeg, mace, allspice, ginger, cloves, etc., used in cookery to season and to flavour sauces, pickles, etc.; a vegetable condiment or relish, usually in the form of a powder; also, as condiments collectively’.

Introduction
Antimicrobial resistance (AMR) has emerged as a critical global health threat, diminishing the effectiveness of antibiotics against bacterial infections. Conventional strategies to counter AMR—including antibiotic stewardship programs and the development of new drugs—are often slow, expensive, and labor intensive. However, artificial intelligence (AI) and machine learning (ML) present ground breaking alternatives to address this challenge. By leveraging advanced computational techniques, AI can significantly speed up the discovery of novel antibiotics, enabling researchers to identify promising drug candidates more efficiently than traditional methods. Additionally, ML algorithms enhance treatment optimization by analyzing patient data to recommend personalized antibiotic regimens, reducing misuse and resistance risks. AI also strengthens surveillance systems by processing vast datasets— such as genomic sequences and electronic health records—to detect emerging resistance patterns in real time. These capabilities allow for proactive interventions, helping healthcare providers and policymakers stay ahead of AMR outbreaks. Together, AI and ML offer a transformative approach to mitigating AMR, combining speed, precision, and scalability to combat one of the most pressing medical challenges of our time.
AI in Antibiotic Discovery
One of the most promising applications of AI in AMR mitigation is in antibiotic discovery. Traditional drug development is costly and time-consuming, often taking over a decade [1]. Machine learning models can analyse vast datasets of chemical compounds to predict their antibacterial properties. For example, researchers at MIT used deep learning to identify halicin, a novel antibiotic effective against drug-resistant bacteria. AI-driven platforms can also repurpose existing drugs, reducing the time needed for clinical trials [2].
Fig. 1: AI cyclic interface in antibiotic discovery
Predictive Analytics for Resistance Patterns AI-powered predictive analytics enables early detection of antimicrobial resistance (AMR) patterns by processing clinical, genomic, and epidemiological data. Machine learning models analyse electronic health records (EHRs) [3] and bacterial genome sequences to identify emerging resistance threats in real time. These predictive insights allow hospitals to take proactive measures— such as optimizing antibiotic prescriptions—before resistant strains spread. Beyond clinical settings [4], AI models assist public health agencies in forecasting outbreaks and strategically deploying resources. By integrating large-scale datasets, these systems enhance surveillance, enabling faster, datadriven decisions to curb AMR progression. This approach not only improves patient outcomes but also supports global efforts in combating antibiotic resistance through smarter, pre-emptive interventions [5].

Climate change affects livestock through heat stress, water scarcity, unstable feed supplies, altered disease patterns and extreme weather. This chapter examines how artificial intelligence supports climate-smart and sustainable animal husbandry. Machine learning, predictive analytics and IoT-enabled monitoring can optimize feeding, detect disease, assess welfare and improve the use of water, energy and other resources. Intelligent technologies can also assist in reducing greenhouse-gas emissions and developing adaptive production strategies. The chapter evaluates the contribution of AI to productivity, climate resilience and environmental responsibility while addressing problems such as insufficient data, limited infrastructure, implementation costs and ethical concerns. Future integration with sustainable agricultural frameworks is also discussed.

Genetic improvement creates permanent, heritable gains in milk production, growth, fertility, disease resistance and environmental adaptation. This chapter explains how artificial intelligence complements conventional phenotypic and pedigree-based selection by analysing large genomic and performance datasets. Machine-learning models reveal genotype-phenotype relationships, predict breeding values and support earlier, more reliable selection. Applications include genomic selection, precision breeding, reproductive technologies, bioinformatics and digital twins. AI can reduce generation intervals and improve the efficiency of breeding programmes, but its success depends on data quality, representative populations and interpretable models. Ethical concerns, genetic diversity and long-term sustainability must also be considered when designing AI-supported breeding systems.

Genetic improvement creates permanent, heritable gains in milk production, growth, fertility, disease resistance and environmental adaptation. This chapter explains how artificial intelligence complements conventional phenotypic and pedigree-based selection by analysing large genomic and performance datasets. Machine-learning models reveal genotype-phenotype relationships, predict breeding values and support earlier, more reliable selection. Applications include genomic selection, precision breeding, reproductive technologies, bioinformatics and digital twins. AI can reduce generation intervals and improve the efficiency of breeding programmes, but its success depends on data quality, representative populations and interpretable models. Ethical concerns, genetic diversity and long-term sustainability must also be considered when designing AI-supported breeding systems.

Aseptic packaging is a specialized and advanced method used to extend the shelf life of perishable foods without the need for refrigeration. This technique involves sterilizing both the food product and the packaging material separately and then filling and sealing the product in a sterile environment. Aseptic packaging has transformed the food industry, allowing products such as dairy, juices, soups, and sauces to remain fresh and safe at room temperature for extended periods. The ability to maintain product quality, nutritional value, and safety while reducing reliance on cold storage has made aseptic packaging a preferred choice in both food manufacturing and distribution. The process of aseptic packaging is both complex and precise, as it requires thorough sterilization of every component to ensure food safety. Packaging materials, typically a combination of paper, plastic, and aluminum, are carefully selected to withstand high temperatures while providing an effective barrier against contamination. This chapter explores the principles of aseptic packaging, its significance in food preservation, and the advanced technologies and materials used to achieve and maintain sterility in packaged foods.

Various indicators like range of behavioural, physiological, pathological and carcass-quality parameters can be used to assess the welfare of animals. Whenever, animals undergo painful handling or any other managerial operation, they are likely to face short-term stress. In this condition an increased physiological responses, behavioural responses, injury or mortality are most commonly used; however, some animals which are kept in improper housing with less floor space may cause chronic stress leading to increased disease incidence and suppression of normal development. Therefore, the following techniques can be used to assess the animal welfare at farm level in any given situation.