eChapters

2.1 Operators

Operators are those who perform some specific operation. Python has a wide variety of operators. The various python operators are categorized into:

1. Arithmetic operators

2. Comparison/relational operators

3. Assignment operators

4. Logical operators

5. Identity operators

6. Membership operators

7. Bitwise operator

12.1 Introduction Basic Functionality

By now, we learnt about the three Pandas DataStructures and how to create them. We will majorly focus on the DataFrame objects because of its importance in the real time data processing and also discuss a few other DataStructures.

12.2 Series Basic Functionality

Let us now create a Series and see all the above tabulated attributes operation

Example

import pandas as pd

import numpy as np

#Create a series with 100 random numbers

s = pd.Series(np.random.randn(4))

print(s)

Its output is as follows:

0 0.967853

1 -0.148368

2 -1.395906

3 -1.758394 dtype: float64

13.1 Statistical Functions

Statistical methods help in the understanding and analyzing the behavior of data. We will now learn a few statistical functions, which we can apply on Pandas objects.

Percent_change

Series, DatFrames and Panel, all have the function pct_change(). This function compares every element with its prior element and computes the change percentage.

Example

import pandas as pd

import numpy as np

s = pd.Series([1,2,3,4,5,4])

print s.pct_change()

df = pd.DataFrame(np.random.randn(5, 2))

print(df.pct_change())

14.1 Basic Plotting: plot

This functionality on Series and DataFrame is just a simple wrapper around the matplotlib libraries plot() method.

Example

import pandas as pd

import numpy as np

df = pd.DataFrame(np.random.randn(10,4),index=pd.date_range(‘1/1/2000’, periods=10), columns=list(‘ABCD’))

df.plot()

Its output is as follows:

If the index consists of dates, it calls gct().autofmt_xdate() to format the x-axis as shown in the above illustration.

Financial modeling programs integrated with data analytics using Python have transformed the way financial analysis, forecasting, and decision-making are conducted. Python provides a powerful, flexible, and scalable environment that enables analysts to move beyond traditional spreadsheet limitations and build sophisticated models capable of handling large and complex datasets. Its growing adoption in finance is driven by its ability to combine data processing, statistical analysis, automation, and visualization within a single ecosystem. The foundation of Python-based financial modeling lies in efficient data handling and preprocessing. Financial data is often sourced from multiple channels, including databases, APIs, and flat files, and must be cleaned and structured before analysis. Libraries such as pandas and NumPy provide robust tools for organizing data into structured formats,

Python has emerged as one of the most popular and versatile programming languages in the contemporary world of computing. Developed by Guido van Rossum and first released in 1991, Python was designed with a clear emphasis on simplicity, readability, and ease of use. Its syntax closely resembles natural language, making it an ideal choice for beginners as well as experienced programmers. Over the years, Python has evolved into a powerful, high-level language that supports multiple programming paradigms, including procedural, object-oriented, and functional programming. One of the defining features of Python is its readability and clean structure, which allows developers to write clear and concise code. Unlike many other programming languages that rely heavily on complex syntax and punctuation, Python uses indentation to define code blocks, promoting better organization and reducing the likelihood of errors. This design philosophy not only enhances code clarity but also encourages good programming practices,

Financial modeling using Python has emerged as a highly effective approach for modern finance, combining the flexibility of programming with the analytical rigor required for accurate forecasting and decision-making. Python is particularly valuable because it can handle large datasets, automate repetitive tasks, and integrate advanced statistical and machine learning techniques into financial models, surpassing the limitations of traditional spreadsheet-based approaches. Its extensive libraries, such as pandas, NumPy, scikit-learn, and matplotlib, make it an ideal tool for building robust and dynamic financial models. The foundation of financial modeling in Python begins with data acquisition and preprocessing. Financial data is often sourced from databases, APIs, or CSV files, and Python provides efficient tools to import and clean this information. The pandas library allows analysts to create dataframes, which are flexible structures for organizing, filtering, and transforming data. Preprocessing tasks, such as handling missing values, normalizing variables, and converting date formats, ensure that datasets are ready for accurate modeling. This step is critical, as errors or inconsistencies in the data can lead to incorrect forecasts and flawed financial decisions. Once the data is prepared, Python enables comprehensive exploratory data

Q fever (query fever) is an important global occupational zoonotic disease caused by a bacteria Coxiella burnetti. It is an OIE notifiable disease and showing an emerging and reemerging trend in different parts of the world. It is having great public health importance as the pathogen is transmitted through almost all routes but predominantly by aerosols from reproductive discharges of animals of farm and pet animals which serve as main reservoir of infection. The organism is shed in milk and foods of animal origin for very long period. Q fever is associated with a wide clinical spectrum and most of its acute infections are either asymptomatic, mild or resemble to influenza. Presently, the infection is endemic in many areas and its prevalence has been confirmed in at least 51 countries including India.

Etiology: C. burnetti was classified as a member of Rickettsiaceae family however, recent scientific investigations on 16S RNA based sequence analysis have shown that it is genetically more comparable to bacterial families covering genus Francisella and Legionella therefore it has been reclassified in the family Coxiellaceae or order Legionellales. It is a Gm-, pleomorphic rods (0.2-0.41μX0.4-1.0μ) or sphere (0.3μ-0.4μ in diameter in size) and an obligate I/C organism. It is relatively resistant to physical and chemical agents. The bacterium occurs in two antigenic forms - the pathogenic form (phase I) found in infected animals or humans and the avirulent form (phase II) obtained by repeated passagein embryonated eggs or in cell culture. Phase II cells are autoagglutinable and are readily phagocytosed in the absence of specific antibodies. Phase I activity is attributed to surface carbohydrate antigen which is soluble in trichloracetic acid and is destroyed by periodate. Phase I is a more powerful immunogen than phase II and elicits antibodies in high titer to both antigens. Phase II antigen gives better results in CFT with human and animal sera. Q fever sera do not react with other rickettsial antigens or with Proteus. In nature, bacterium exists mainly in 3 forms, namely - the small cell variant (SCV), the small dense cells (SDC) which are spore like forms that remain very stable in the environment as extracellular infections particles and the large cell variant (LCV) which is the growing and metabolically active form inside the host. In view of the potential for transmission of this infection from animal to people, the disease has been classified as a notifiable OIE disease.

Q₁₀ (Temperature coefficient): The ratio of the rate of chemical reaction at a particular temperature to the rate of that chemical reaction exactly at 10°C lower.

Qualitative photoperiod: Qualitative plants are those in which a particular photoperiod is an absolute requirement for the occurrence of a response. Ex: Common cocklebur

Qualitative response (absolute response, obligatory response): A plant response, usually flowering, that absolutely depends on some day length, temperature, or other environmental stimulus. If the plant does not experience the required stimulus, the response does not occur (e.g., the plant remains vegetative). Opposite to quantitative response.

Quantasomes : Quantasomes are particles found in the thylakoid membrane of chloroplasts in which photosynthesis takes place. They are embedded in a para crystalline array on the surface of thylakoid discs in chloroplasts. They are composed of lipids and proteins that include various photosynthetic pigments and redox carriers.

Quercus baloot Griffith (Fagaceae): Eng.- Holy Oak; Kash.- Jamal Gota/ Baloote Kashmir [W/UC]. A small rounded evergreen tree. Leaves are coriaceous, oblong-ovate to lance shaped, entire or with spiny -toothed margins. Acorns oblong-ovoid to nearly rounded, solitary or in groups of 2 or 3. Grows as a hard wood element of forests. Also grown as ornamental.

Qualitative approach to research: Qualitative approach to research is concerned with subjective assessment of attitudes, opinions and behaviour. This type of approach to research generates findings either in non-quantitative form or in the form which are not concerned with the rigorous quantitative analysis. Commonly, the techniques of focus group interviews, projective techniques, and depth interviews are used.

Q10 value: The number of times a reaction rate change with a 10oC change in temperature is called Q10 value. If reaction rate doubles with 10oC change in temperature, Q10 = 2. It is also called temperature quotient.

Q-enzyme: It is a branching enzyme responsible for formation of 1-6 bonds in amylopectin.

QHV process: It stands for Quality Has Value Process.

QO2 : It is a unit for measurement of respiration. Or It is the oxygen uptake in microlitres per milligram on dry weight per hour.

Quailing: In this practice the oranges are kept in the baskets in which they are harvested to allow the fruit to loose little moisture. It is done for a couple of hours before transport to packhouse. This practice would allow the fruit to lose a little moisture which is called quailing. This operation is done for oranges to prevent Oleocellosis.

Qualitative measurement: It is a subjective / objective measurement of the quality of the product for presence of certain compound. It gives the idea of the presence or absence of the particular compound. It deals with the nature of the substance and not its amount or quantity.

Quality assurance: Planned and systematic actions necessary to provide adequate confidence that goods or services will satisfy given requirements. For the food industry, this is a customer-focused management system, whose aim is to guarantee food safety and con- sistent product quality by application of production, processing and handling standards. Proactive food safety programmes, in particular those based
on Hazard Analysis Critical Control Point (HACCP) principles, are the foundation of many food quality as- surance systems.
Quality control: A system of maintaining standards in manufactured products by testing a sample against the specification.
Quantitative descriptive analysis: Comprehensive system used in sensory analysis that covers sample collection, assessor screening, vocabulary development, testing and data analysis. Quantitative descriptive analysis (commonly abbreviated to QDA) uses small numbers of highly trained assessors. Once the training sessions have established satisfactory panel performance, and removal of ambiguities and misunderstandings, the test samples can be evaluated. This is carried out in replicated sessions using experimental designs that minimize biases. Three major steps are required: development of standardized vocabulary; quantification of selected sensory
characteristics; and analysis of results by parametric statistics.

QTL Traits

Polygenic inheritance, also known as quantitative or multifactorial inheritance refers to inheritance of a phenotypic characteristic (trait) that is attributable to two or more genes and their interaction with the environment. Unlike monogenic traits, polygenic traits do not follow patterns of Mendelian inheritance (qualitative traits). Instead, their phenotypes typically vary along a continuous gradient depicted by a bell curve. Though not necessarily genes themselves, quantitative trait loci (QTLs) are stretches of DNA that are closely linked to the genes that underlie the trait in question. QTLs can be molecularly identified (for example, with PCR or AFLP) to help map regions of the genome that contain genes involved in specifying a quantitative trait. This can be an early step in identifying and sequencing these genes.

Quail bronchitis (QB) is caused by group I (aviadenovirus). QB is an acute respiratory disease of bobwhite quail, occasionally with high mortality. Disease has sporadic occurrence many parts of the world. QB virus is closely related to the prototype CELO (chick embryo lethal orphan) virus, which is cause of high mortality in chicks.

Introduction

Quails are also called as Bater in Hindi. Quail farming business is economically very profitable. Quail farming in India is now recognized as an organized and scientifically based farming and a potential tool to fight with poverty and malnutrition. There is considerable scope for increasing the egg production further to meet the growing demand. The importance of quails in the poultry scenario of India is well recognized and quail production has registered a remarkable progress in the country since its introduction during mid seventies. Japanese quail farming offers a viable and practical solution to the problems of animal protein shortage and unemployment in developing countries. For small holders, it is an important source of income and employment generating venture besides providing nourishing food. Quail farming has been accepted by farmers as a potential alternative to chicken farming because of its small size, short incubation period, less floor space requirement, rapid growth, early onset of egg production, short generation interval, high rate of egg production, less susceptible to disease and low feed intake.

Quails are one of the most efficient biological machines for converting feed into animal of high biological value. At present in India, quails occupy the third largest position among poultry species next to the chicken and ducks. Quail meat is renounced for richness in vitamins, essential amino acids, unsaturated fatty acids, phospholipids and macro and micro elements. Cholesterol level is low as compared to chicken in quail egg and quail meat. Quail can adapt to varying environmental condition because of its hardy nature. Quail production requires less investment, gives quick return and higher profits and hence can be adapted by rural mass quickly. Incubation period of Japanese quail is 18 days. The Bob white quail is the second most important breeds of quail. Incubation period is 21 days. Quails were introduced in India in CARI in Izzatnagar in 1976 procuring hatching eggs from University of California.

Qualitative characters are those characters which show discontinuous or discrete differences and are counted into different classes and there is no need to measure them. Typically speaking, characters studied by Mendel in garden pea whose results were published in 1966 as Mendel’s Law were the typical characters that fitted into this class of characters in those days. To recall, these characters were (i) tall vs dwarf plants, (ii) round vs wrinkled seeds, (iii) yellow vs green pods, (iv) violet vs white flowers, (v) flat pods vs constricted pods, (vi), green pods vs yellow pods and (vii) axial flowers vs terminal flowers. Mendel postulated “Factors” responsible for these differences and he could explain his results of F₂ in ratio of 3:1 while dealing with one trait at a time and 9:3:3:1 while dealing with two traits simultaneously and proposed (i) law of segregation and (ii) principles of independent assortment to explain these ratios. Later on the term “factor” was called as gene.

7.1 Introduction

For qualitative and quantitative analysis of phytochemicals, chromatography can be used. Gas chromatography is a powerful means of performing qualitative and quantitative measurements of complex mixtures of volatile substances, which are vaporizable without decomposition.Gas Chromatography-Mass Spectrometry (GCMS) system is a widely used instrument for qualitative and quantitative analysis of solid, liquid, and gaseous samples. Samples are converted into gaseous ions and then separated on the basis of their mass-tocharge ratio. This technique is capable of providing information about 1. the qualitative and quantitative composition of both inorganic and organic analytes in complex mixtures; 2. the structure of a wide variety of complex molecular structures; 3. isotopic ratios of atoms in samples; and 4. the structure and composition of solid surfaces. High performance liquid chromatography (HPLC) is a physico-chemical separation technique for the qualitative and quantitative analysis of mixtures consisting of compounds soluble in solvents, e.g. all organic compounds and inorganic ions. Advances in the applications of thin-layer chromatography (TLC) and high-performance thin-layer chromatography (HPTLC) for the separation, detection, and qualitative and quantitative determination of compounds has also increased.

For qualitative and quantitative analysis of phytochemicals, chromatography can be used. Gas chromatography is a powerful means of performing qualitative and quantitative measurements of complex mixtures of volatile substances, which are vaporizable without decomposition.Gas Chromatography-Mass Spectrometry (GCMS) system is a widely used instrument for qualitative and quantitative analysis of solid, liquid, and gaseous samples. Samples are converted into gaseous ions and then separated on the basis of their mass-tocharge ratio. 

Quantitative Versus Qualitative Inheritance

There is a continuum of traits being inherited as a Mendelian trait with simple inheritance and traits having quantitative inheritance without well separated classes and with many genes involved.
Classification of traits in relation to mode of inheritance and environmental tolerance are shown in Figure 1.2. First there are the well known traits with simple Mendelian mode of inheritance. The trait with quantitative genetic inheritance is caused by segregation of many gene pairs, each with small effect. At the same time the trait is influenced by a lot of minor environmental effects.
Diseases will often be ‘either/or traits’ as the simple Mendelian traits. Cases in which the severity of the disease has a normal distribution can also be found. In many production diseases the disease only occurs when a genetically prone individual is exposed to adverse environmental effects. Figure 1. Classification  of traits in relation to mode of inheritance  and environmental tolerance. 
 

5.1 Introduction

The different qualitative chemical tests can be performed for establishing profile of given extract for its chemical composition. The following tests may be performed on extracts to detect various phytoconstituents present in them.

5.2 Detection of Alkaloids (Evans, 1997)

Solvent free extract, 50 mg is stirred with few mL of dilute hydrochloric acid and filtered. The filtrate is tested carefully with various alkaloidal reagents as follows:

The different qualitative chemical tests can be performed for establishing profile of given extract for its chemical composition. The following tests may be performed on extracts to detect various phytoconstituents present in them.

Quality Adjusted Life Years (QALYs) : Calculated by adjusting the estimated number of life-years an individual is expected to gain from an intervention for the expected quality of life in those years. The quality of life score will range between 0 for death, to 1 for perfect health, with negative scores being allowed for states considered worse than death

The ultimate aim of production, handling and distribution of vegetables is to satisfy the consumers, and it is well known fact that consumer satisfaction depends on quality of the produce what he gets (Shewfelt et al., 1997). The term quality implies the degree of suitability of produce for a particular use. Quality can be expressed as an absence of defects or degree of excellence of the produce in respect to appearance, i.e., size, shape and colour. Quality is a bundle of attributes that are inherent in the produce and can readily be quantified throughout handling and distribution. It may also be defined as a series of attributes selected based on accuracy and precision of measurement. For grades and standards, the definition of quality is institutionalized so that it may have the same meaning for every one using it. Combination of characteristic features of the produce itself is termed as quality and that the consumer’s perception and response to those characteristic features should be referred to as acceptability.

Quality of produce encompasses sensory properties, such as appearance, texture, odour, aroma, taste and flavour that are readily perceived by the human senses and hidden attributes, such as safety, chemical constituents, nutritive values, mechanical properties, functional property and defects that require sophisticated instruments to measure (Abbott, 1999). Combination of sensory and instrumental measurements of quality attributes provides an estimate of customer acceptability. In a long chain from producer to the actual consumer, each passes judgment and each has his own set of acceptability or quality criteria, often biased by personal expectations and preferences. The component attributes of quality vary with context. The choice of what to measure, how to measure it and what values acceptable to the consumer are determined by the person requiring the measurement, with consideration of the intended use of the produce. Quality can be measured, and it relates to consumer acceptability.

Wool is a natural fiber that possesses numerous outstanding characteristics, rendering it both functional and visually appealing. Nevertheless, not all wool is created equal; there exists considerable variation in the quality found in the marketplace. This explains the significant fluctuations in price, as some wool is of superior quality and therefore commands a higher price. Various factors influence the quality of this fiber and, consequently, its value. Below is a list of some of these factors.
a) The diameter of the wool fiber is the most critical factor affecting its quality and price. Generally, merino wool is regarded as the highest quality due to its fine texture, which produces an exceptionally soft fiber. In simple terms, the finer the wool, the greater its worth.
b) Consistency in fiber diameter is another vital aspect; the more uniform the fiber, the higher its value.
c) The colour of wool also plays a significant role in determining its value. Wool that is white or off-white can accommodate a wider array of dyes used in fabric manufacturing.
d) Staple strength is a measure of the fiber’s capacity to endure the production process. A higher staple strength results in less waste during manufacturing. Wool is a valuable by-product of sheep, differentiated from hair by its enhanced elasticity, flexibility, and curliness. The quality of wool is affected by factors such as shrinking, strengthening, and felting conditions. In their natural form, wool fibers are coated with wool grease (sweat) and wool soap or yolk (suint), which are secreted by specialized glands to preserve the wool’s condition. Wool is classified into three primary types of fibers:

In India farming was traditionally subsistence in nature but with the passage of time, the nature of farming has changed to commercialized system faming. With the commercialization of farming, price of the product along with its quality has become an important factor in marketing. Quality and safety issues have also gradually gained importance as people in general have become conscious and aware of the hygiene, health and safety issues related food and food products. Perishability of food items requires more emphasis on its quality and safety. The formal system of regulations in quality and safety standard has been mainly the contribution of the developed world. The International market has set a high standard of quality and safety of agriculture products. In the country the standardization of quality and safety of agricultural products has gained momentum in the last 10-15 years.

Hazard Analysis and Critical Control Points (HACCP)

Hazard Analysis and Critical Control Point is a comprehensive food safety system of food which starts from production to the ultimate consumption. HACCP monitors each and every step of production process, identify the specific hazards, implement the effective control programme and also verify the procedure. However, it is not a zero risk programme and there is possibility of risk of hazards in the process but the theme of programme is to minimize the risk of hazards upto a level which will be considered as safe. Thus HACCP programme is termed as risk management tool. It involves the management of all types of hazards like microbiological, chemical and physical.

The raw material of foremost importance in bakery product is the wheat flour. Bakery units prefer the flour obtained by milling in roller flourmill with 70– 72 percent extraction. Flour quality may be defined as the ability of the flour to produce an attractive end product at competitive cost, under conditions imposed by the end product manufacturing unit. The concept of quality differs from producer and consumer point of view. However, in general, the term quality may refer to fitness of a raw material or a product for a particular process or consumer. For a consumer, the following parameters are important criteria of a product quality.

The art of confectionery manufacture date back to over 3000 years as per Egyptian records. Traditionally honey, boiled and concentrated sugar cane juices have been used in confectioneries. In modern times, alternative sweeteners from sources like corn and starches constitute an integral part of confectionery manufacture.

Owing to the huge variation in finished products as well as raw materials in food sector, Quality control has an extremely important role to play. Quality control aims at controlling variation to within a tolerable level by taking corrective actions. Statistical and non-statistical techniques are employed to measure, analyze and control variation in food products. Statistical process control, acceptance sampling and visual inspection are widely used in food and allied sectors.

Maintenance of quality and manufacture of a standard confectionery should involve a very close control of raw materials, instrumentation, and statistical analysis of finished product. Statistical evaluation with respect to finished product includes weight control, sensory evaluation and packaging tests. The quality standards are set by the quality control departments. Chemists may undertake preliminary analysis through visual inspection. Visual inspection is usually combined with sampling. This gives an idea of variation, cleanliness, infestation etc. in the sample.

India has emerged as the largest producer of milk in the World. This has boosted the confidence of producers, planners, dairy entrepreneurs and scientist alike. India has poised to play a major role in global dairy market in coming decade. The rapid growth of science and technology has positive impact on our life style and with strong trend of urbanization several demographic changes are likely to occur. There going to be ever increasing demand on the role of milk and milk products for human health. Accordingly, the demand for higher standards of milk products in terms of hygiene and safety of dairy products is to be followed. The competitiveness for the export of milk products among different dairy industry has increased in recent times due to GATT agreement. The biggest challenge before Indian dairy industry is the quality and safety of milk products indented for human consumption. Legal standards are made to have control over quality of food offered for sale and to safe guard the consumer form health hazards. It is therefore, imperative to determine different parameters that define product quality and safety. The purpose is to ensure production and distribution of products within well defined and accepted standards. This chapter deals with various parameters of product testing in order to maintain requisite prescribed standards.

Milk is a product of biological origin and is a suitable vehicle to accommodate any additive without apparent changes in its look. The quality of milk and its products depends upon quality of raw milk used in their manufacture, processing and handling conditions. It is therefore, necessary to check quality of raw milk to assess its suitability for processing, through various quick tests called “Platform Tests”

Raw milk quality assessment

(A) At collection center: - Milk from various suppliers is generally collected at dairy factory or privately owned collection centers located in marked area of milk sheds. The quantum of supply may vary from 2 – 100 Liters. As each supplier has to be paid in relation to quantity and quality of his produce, it is important to draw samples and ascertain its quality by performing quick tests for the purpose of acceptance or rejection.

Sampling procedures - The sampling procedure differs according to the nature of material and the purpose for which the sample is required. The sample collected for chemical analysis should be representative of the entire batch. Thorough mixing with proper instrument is essential to ensure representative sample. Samples for chemical analysis are to be delivered the same day for testing. If un-avoided, add small amount of preservative (Formaldehyde) to prevent deterioration and bear label to the effect.

Sample from single container – The procedure involved is thorough mixing of contents. If it is small container the contents should be poured from one vessel to another with swirling. In case of can the contents should be mixed with the help of plunger which should be moved up and down and sideways for about 10-15 times. The sample is then drawn with the help of dipper from different levels and collected in clean and dry sample bottles.

1. Introduction:- Overview of Good Laboratory Practices (GLP)
1.1 Definition and Scope of GLP
GLP refers to a set of standards that govern the organizational processes, personnel responsibilities, and conditions under which laboratory studies are conducted. It aims to regulate research environments and ensure the generation of high-quality, traceable, and reproducible results. The scope of GLP encompasses a wide range of scientific fields including pharmaceuticals, agrochemicals, veterinary products, and environmental safety assessments. Good Laboratory Practices (GLP) regulations were developed by the Organization for Economic Co-operation and Development (OECD) and well adopted by regulatory agencies world-wide. The primary objective of GLP is to promote high standards of accuracy and integrity in non-clinical research to protect human health and the environment.
1.2 Principles of GLP
The fundamental principles of GLP include:
• Study Planning and Protocol Development: Every study must have a clear plan and defined objectives, which should be outlined in a comprehensive protocol.
• Personnel Responsibilities: The roles of study directors, scientists, quality assurance personnel, and support staff are clearly defined.
• Test Systems and Facilities: Laboratories must maintain appropriate facilities and control systems for conducting studies. These include properly calibrated equipment, controlled environments, and standardized procedures.
• Data Integrity and Reporting: Data must be meticulously recorded, verified, and archived, ensuring it is traceable and reproducible.
• Study Documentation and Archiving: All records, raw data, and reports must be stored and accessible for a period defined by regulations, ensuring transparency and reproducibility.

Molecular diagnostics has witnessed groundbreaking technological advances in recent times, starting from automated sample preparation to real time amplification technology. Possibility to develop and run assays for ever increasing number of clinical queries has become effortless due to the technological advances. However, the state of the art in quality assurance and quality control practices for molecular diagnostics has seldom been up to the expectations if one considers accuracy for once in a lifetime genetic tests or new genetic test targets appearing almost every single day. In the face of such issues, clinical laboratories are struggling to develop appropriate quality assurance programs for the molecular diagnostic tests they conduct. In addition, legislation and government policies threaten to increase oversight of genetic tests to a level not seen before in laboratory medicine, for example, FDA’s guidance on in vitro diagnostic multivariate index assays (IVDMIA).

To relate patient results to previous test results or to absolute values in clinical practice guidelines, those results need to be comparable across time and methods. This may either be achieved by designing the identical value across methods and test versions or by using reliable and stable conversions. Therefore, the establishment of international standards and reference materials is of paramount importance. Monitoring molecular test system outputs and statistical analysis might provide a good way to obtain such standards; however, such traditional QC (Quality Control) strategies can be slow to take root in molecular diagnostics.This chapter highlights general and specific issues relevant for quality assurance and quality control in the routine molecular diagnostics laboratory and guidelines for designing quality manuals for a molecular diagnostic laboratory.

India has achieved a commendable position of being the highest milk producing country in the world. Nearly 110 million tons of milk per annum is contributed by small and marginal farmers having 2-3 milch animals which are scattered in lakhs of villages across the length and breath of India. The poor socio-economic conditions are serious constraints in producing raw milk of good quality. The quality of milk is further deteriorated during subsequent handling and transportation. Milk being a product of biological origin, is extremely vulnerable to attack by microbes. It is also a good vehicle for additives and adulterants without any apparent changes in its appearance. Thus, milk is susceptible to several post-secretion changes, some natural and some man-made.

Indian dairy industry faces a mammoth task to meet the world quality standards, particularly in the present context of globalization and increasing quality conscious consumers. In view of the highly perishable nature of milk soon after it is secreted, it is important to monitor its quality by having a firmly installed quality assurance programme along the entire production-to-supply chain. This can be possible with application of sensitive, accurate and rapid methodologies as a tool in quality assurance programmes.

Quality comprises of several attributes ranging from physical, chemical, technological and bacteriological through nutritional to aesthetic. All dairy plants have a quality assurance laboratory (Fig. 8.1) and usually follow chemical quality control with the intention of payments to contractors/producers, processing of milk and meeting mandatory requirements for end products. Quality is judged both by objective and subjective tests.

Quality assurance is essential for supplying consistent, defect-free textile and apparel products that satisfy customers, buyers and regulatory requirements. It is a proactive, process-oriented approach through which quality is planned and incorporated into every stage of production instead of being checked only at completion. Unlike quality control, which detects existing defects, quality assurance prevents defects through careful planning, training, process design and standardization. Its objectives include establishing appropriate standards and operating procedures, ensuring traceability and accountability, supporting continual improvement through audits and feedback, and developing an organization-wide quality culture. Accordingly, responsibility for quality extends from production operators to supervisors and senior management.

Essential oils are products of secondary metabolism and are secreted by specialized cells located in specified parts of most plants. By virtue of certain characteristic properties, they have wide spread use in perfumery, flavouring and medicine. Essential oils are variable mixtures of terpenoids. Since these oils are produced by plants, composition varies with species and variety of plant besides geography, climate and cultivation practices. Since, chemical components are highly reactive, physical and chemical environment to which oil is subjected to during the processes of its extraction, processing and storage have a great influence on final composition. Entire chain of activities from cultivation, extraction, processing, storage to packing has to be perfectly standardized and regulated to assure end product consistency. Being a valuable item of trade, this is important from the point of view of delivering desired activity as well as safety to consumer.

1. Degree of excellence referred as quality

2. More acidic pH leads to chalkiness in seer fish

3. Low post mortem pH leads to gapping

4. In squid and herring anisakis parasite normally found

5. The most crustacean parasites are copepods

6. Greasy haddock is a fungal disease caused by icthyosporidium hoferi

7. Tetra toxin is caused by V.alginolyticus

8. NSP produced by brevetoxin

9. VSP- venerupin shellfish poisoning also called as oyster or asaripoisoning it is caused by Prorocentrum sp.

10. Erythematius shellfish poisoning affect the blood circulatory system

11. The maximum permitted limit of DDT is 5 mg/ kg

We all are familiar with the word “quality”. If we bring some fruits or vegetables from the market, the other family members will reflect on their quality by making observations such as: fresh or stale, good or bad quality or inferior product, etc. These observations are perceptions of consumers based on the sensory attributes of the fruit or vegetable colour, appearance, touch, smell or taste.

The quality characteristics of food that are acceptable to consumers are comprehended under the term “Food Quality. It includes external factors such as appearance (size, shape, colour, gloss, and consistency); internal factors (chemical, physical, microbiological) and characteristics/ specifications prescribed under the Government laws/standards. If consumer’s perceptions regarding quality of food are not positive he or she either will not purchase the material or will be paying less compared to when the consumer has positive perception about the quality.

The relationship between quality, profitability and market share has been well established. In the quest of quality, the dairy business is passing through revolutionary changes and the need for such changes has been very well realized. The leaders have initiated the process of setting vision and are working hard to provide the basic infrastructure with necessary resources. This has become a point of vital importance as the nation has now captured the first rank in milk production globally and is now ready and set to march ahead in the global race for dairy products market. Our country has great potential to export the dairy products such as cheese particularly Mozzarella, Feta, and indigenous products such as ghee, khoa, chhana, paneer, and array of sweets. Food items or dairy products to be traded in the international markets should be manufactured in accordance with global accepted norms and standards. In order to improve the quality of milk and milk products the Government of India is focusing on “Clean Milk Production”. As a dairy technologists and entrepreneurs, we must ensure production of quality products.

Introduction

Seafood undergoes rapid spoilage after capture or harvest due to their highly perishable nature. Spoilage refers to any change that renders seafood unacceptable for human consumption. Spoilage occurs as a consequence of various microbial, biochemical and chemical breakdown processes. Spoilage leads to quality changes in seafood. Quality change refers to any change that occur after harvest due to unpredictable catch, uncontrolled harvest, inadequate handling, processing and storage facilities. The initial quality loss is mainly due to the post-mortem autolytic activity (enzymatic process) and chemical degradation process (lipid oxidation); and later by microbial degradation. The quality problems occur as a result of poor-quality raw material, ice and water, microbiological contamination, presence of heavy metals and other storage aspects during processing.

Processing of fish means preparing raw fish into a marketable form. Pre processing is done prior to final processing. Pre-processing is often done on board fishing vessel or in a shore based plant. It includes operation such as washing, sorting, grading, butchering, etc of the harvested fish. The butchering involves removal of non-edible portions such as viscera, head, tails and fins from fish. The yield of fish meat varies from 30 to 70% depending on the butchering process. Butchering process includes beheading, gutting, filleting, peeling, deveining, shucking, etc. The discarded portion of fish meat are fish wastes, often used for animal feed or for conversion to bioactive functional foods. Final processing of fish includes processes such as heating, freezing, drying, salting, marinading, irradiation, or addition of chemicals. The processed seafood is categorized into five major groups – chilled, frozen, canned, cured and other value-added products in this chapter.

56.1. Aim

To determine quality characteristics of dried and dehydrated fruits and vegetables.

56.2. Theory

The quality of dried/dehydrated products can be measured by estimating moisture contents, preservatives level, acid insoluble ash contents and most importantly enzyme reactions.

56.3. Estimation of Acid insoluble ash

1. To total ash add 25 ml of dilute HCl (10% w/w)

2. Cover with a watch glass and boil gently over a low flame for 5 minutes

3. Filter and wash the filter paper thoroughly with hot water

4. Return the paper to the original dish, ignite, cool and weigh the insoluble ash

Objective: To check quality of genomic DNA on agarose gel electrophoresis.

Background information

Agarose gel electrophoresis is a common method of gel based electrophoresis technique used in biochemistry, molecular biology, genetics and clinical chemistry for separation of Protein and nucleic acids from a mixture of macromolecules. Agarose is a major component of agar that is used as a matrix in gel baseelectrophoresis. The nucleic acids (DNA and RNA) are separated based on length of fragments while, proteins are separated based on size and/or charge (Kryndushkin, et al. 2003). For separation of bio-molecules the electric field is applied that leads to movement of charged particles via agarose gel matrix and bio-molecul s are separated based on difference in size in the agarose gel matrix (Sambrook and Russel, 2001).

Gel casting with agarose is easy and has very few charged groups, hence found most suitable for nucleic acid separation in most of the biochemistry, molecular biology and biotechnology laboratories. Separated DNA/RNA ma be seen and recorded with stain under UV light. Further DNA fragments can be eluted from agarose gel with an ease for further down applications. The percentage of agarose gel used is in the range of 0.7 - 2. Lower percent of agarose gel is used for long DNA fragments while, higher percent of agarose gel is used for short DNA fragments with suitable running buffer.

Objective: To check the integrity of isolated RNA on agarose gel.

Background information:

The most common method used to assess the integrity of total RNA is to run RNA sample on agarose gel (denaturing) stained with ethidium bromide (EtBr). While native (non-denaturing) gels can be used, the results can be difficult to interpret. The secondary structure of RNA alters its migration pattern in nativegels so that it will not migrate according to its true size. Nondenaturing conditions also result in bands that are not as sharp, and even multiple bands representing different structures of a single RNA species.

Intact total RNA run on a denaturing gel will have sharp, clear 28S and 18S rRNA bands (eukaryotic samples). The 28S rRNA band should be approximately twice as intense as the 18S rRNA band. This 2:1 ratio (28S:18S) is a good indication that the RNA is completely intact. Partially degraded RNA will have a smeared appearance, will lack the sharp rRNA bands, or will not exhibit the 2:1 ratio of high quality RNA. Completely degraded RNA will appear as a smear (having very low mw). Inclusion of RNA size markers on the gel will determine the band size or smears size and will also serve as a good control for ensuring proper gel run. Note: Poly selected samples will not contain strong rRNA bands and will appear as a smear from approximately 6 kb to 0.5 kb (resulting from the population of mRNAs, and depending on exposure times and conditions), with the area between 1.5 and 2 kb being the most intense (this smear is sometimes apparent in total RNA samples as well).

Quality control significantly affects manufacturing output, productivity and operational excellence. Techniques such as Six Sigma and DMAIC systematically identify the occurrence and causes of defects while developing solutions to reduce them. Total Quality Management further improves quality and lowers costs associated with defects, wastage and rework. Common tools employed in garment manufacturing include flow charts, check sheets, histograms, Pareto charts, scatter diagrams, control charts and cause-and-effect diagrams. Their systematic application supports continuous process improvement and better economic performance. Because the textile and apparel industry faces intense competition in domestic and global markets, manufacturers must shift from simple product inspection towards integrated, preventive and continually improving quality-management systems.

Despite its existence and continued use over many centuries, and its popularity and extensive use during the last decade, traditional medicine has not been officially recognized in most countries. Consequently, education, training and research in this area have not been accorded due attention and support. The quantity and quality of the safety and efficacy data on traditional medicine are far from sufficient to meet the criteria needed to support its use worldwide. The reasons for the lack of research data are due to not only to health care policies, but also to a lack of adequate or accepted research methodology for evaluating traditional medicine235.

The statement from General Guidelines for Methodologies on Research and Evaluation of Traditional Medicines (World Health Organization, 2000) highlights the need for consensuous in addressing the problems related to the quality of botanical drugs, which ultimately is a critical determinant of safety and efficacy of medicine. Further, the distribution and widespread sale of adulterated, misbranded, spurious botanical drug products and marked increase in misleading health claims of these products demands proper regulations on botanical medicine to protect public health236. Considering these two issues development of parameters for quality control standardization and regulatory norms for controlling the growing business of botanicals is a big task. Various regulatory authorities, research organizations and botanical drug manufacturers are constantly contributing to developing guiding principles addressing issues related to quality, safety and efficacy237. In this chapter we have highlighted problems associated with quality control of the botanicals and tried to guide a way towards a globally acceptable quality standard.

1.introduction

The total sum of foods or mixture of foods which an individual consumes each day is referred to as his diet (Okey, 1992). Vegetables that are used as food has nourishing substances called nutrients namely carbohydrates, proteins, fats, minerals and vitamins. The nutritive value of different vegetables varies sufficiently and the usage of variety of vegetables ensures all the necessary nutrients required in the diet and its lack in daily menu may result in various disease and deficiencies (Saxena, 1970).  They contain a great variety of all other phytochemicals, some of which claimed to have antioxidant, antimicrobial and also anti-carcinogenic properties (Grudha et al., 1996). But when soaking is done in water either plain or salted with sodium chloride, water soluble nutrients may be leached into the water (Srilakshmi, 1999). An attempt was made in the present study to find out the effect of soaking of some selected vegetables in water for one hour after cutting them into pieces and its nutrient loss.

Most raw feed ingredients used as an energy and/or a protein source in poultry feed are grown, harvested, processed, and transported from outside of the poultry industry. Poultry feed are routinely subjected to contamination from diverse sources which may have a serious consequences on the safety of poultry products. Public concerns over food safety from the food of animal origin is a cause of global concern in the recent years due to problems such as bovine spongiform encephalopathy (BSE), dioxin and melamine contaminations, microbial resistance to antibiotics and outbreak of food borne bacterial infections (food poisoning) (Panda, 2013).

Adulteration in animal and human foods has become common feature in the country, therefore we should be cautious while selecting animal/human feed ingredients.

The author of this compendium has developed. “Animal Feed Testing Kit” based on novel cud liquor enzyme complex (innovation certified by ISA, International Search Authority - Patent office, Vienna), registered with WIPO (Geneva). This method is described in detail in this chapter and Patent application is field at Indian Patent Office Delhi.

Now-a-days, animal feed is being adulterated with extraneous materials viz, Saw dust, Ric hulls, sand and Silica, Castor husk, oat hulls and urea (higher than 01 percent limit on dry matter basis).

Quality control in fish feed manufacturing plays a vital role in ensuring the safety, nutritional value, and uniformity of the final product. It involves a structured set of procedures carried out throughout the entire production cycle— from sourcing raw materials to packaging the finished feed—to confirm that the product adheres to standards that support fish health, growth, and environmental stewardship. At the initial stage, raw materials are tested for factors such as moisture, protein, lipid content, fiber, ash, and the absence of harmful elements like aflatoxins, pesticides, or heavy metals. Leading feed manufacturers enforce strict supplier verification and sampling routines to maintain ingredient quality and authenticity. During production, critical parameters are routinely checked, including grind size, mixing consistency, and temperature and moisture levels during conditioning. The physical integrity of pellets is also evaluated during extrusion or pelleting. Specific performance indicators—like water stability, floatability for floating feeds, and feed conversion ratios (FCR)—are assessed to determine feed effectiveness. Post-production checks include examining the pellet’s appearance (size, shape, and color), along with chemical assessments

Biofertilizers are one of the important components of organic farming and sustainable agriculture. Awareness among farmers is increasing on the biological fertilizers. But, the success of biofertilizer inoculation depends on the quality of the inoculant used. Because farmers are unable to judge the quality of the inoculants at the time of purchase or even at use. The inoculant producers are negligent to institute quality control programmes. Unfortunately much of the inoculant produced in the world today is relatively of poor quality. In such situation maintaining high quality inoculant products depend on the internal implementation of effective quality control systems by manufacturer. A major goal of a quality standard is to control the quality of inoculant to be used in any country.

Quality Control is very important in biofertilizer production, which determines the efficiency of microbial strains. Generally, the quality control based on BIS are voluntary in nature. However, some of the biofertilizers are brought under the ambit of Fertilizer Control Order 1985 (FCO) during 2006 (Yadav and Chandra, 2014). At present, biofertilizers are under the FCO with specific quality standards. Biofertilizer production and its sales can be regulated and is a mandatory requirement for registration of manufacturing unit with the State Fertilizer Controller (who is generally the Commissioner or Director of Agriculture Department) under the statutory provision of FCO. Moreover, some officers of the Agriculture Department have been declared as Fertilizer Inspectors at the district level, who are authorized to inspect production and storage facilities and draw samples for quality analysis. National Centre of Organic Farming (NCOF), Ghaziabad under the Govt. of India and its six Regional Centre’s located at Bhubaneswar, Bangalore, Jabalpur, Nagpur, Hissar and Imphal have been declared as testing laboratories. Under the provisions of the FCO act, State Governments can also develop their own quality control laboratories and notify them under the FCO (1985). Peat, lignite, peat soil, humus, wood charcoal or similar material favouring the growth of microbial strain could also be used. The FCO specifications for different biofertilizers are presented below: