Food Toxicants Analysis: Techniques, Strategies and DevelopmentsYolanda Picó Food Toxicants Analysis covers different aspects from the field of analytical food toxicology including emerging analytical techniques and applications to detect food allergens, genetically modified organisms, and novel ingredients (including those of functional foods). Focus will be on natural toxins in food plants and animals, cancer modulating substances, microbial toxins in foods (algal, fungal, and bacterial) and all groups of contaminants (i.e., pesticides), persistent organic pollutants, metals, packaging materials, hormones and animal drug residues. The first section describes the current status of the regulatory framework, including the key principles of the EU food law, food safety, and the main mechanisms of enforcement. The second section addresses validation and quality assurance in food toxicants analysis and comprises a general discussion on the use of risk analysis in establishing priorities, the selection and quality control of available analytical techniques. The third section addresses new issues in food toxicant analysis including food allergens and genetically modified organisms (GMOs). The fourth section covers the analysis of organic food toxicants. * step-by-step guide to the use of food analysis techniques* eighteen chapters covering emerging fields in food toxicants analysis* assesses the latest techniques in the field of inorganic analysis |
From inside the book
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Page 9
... determination of pesticide residues for compliance with mrls Guidelines on good laboratory practice in residue analysis Harmonized iupac guidelines for singlelaboratory validation of methods of analysis These documents are available on ...
... determination of pesticide residues for compliance with mrls Guidelines on good laboratory practice in residue analysis Harmonized iupac guidelines for singlelaboratory validation of methods of analysis These documents are available on ...
Page 62
... determination. (ii) Longer (e.g., n>20) frequent runs of similar materials. Again a common level of standard deviation is assumed. Insert the control material at an approximate frequency of one per ten test materials. If the run size is ...
... determination. (ii) Longer (e.g., n>20) frequent runs of similar materials. Again a common level of standard deviation is assumed. Insert the control material at an approximate frequency of one per ten test materials. If the run size is ...
Page 78
... determination of analytes such as veterinary drug residues and pesticide residues in complex matrices, such as foodstuffs. The same considerations apply in the determination of toxicants. Typically, methods of analysis for the determination ...
... determination of analytes such as veterinary drug residues and pesticide residues in complex matrices, such as foodstuffs. The same considerations apply in the determination of toxicants. Typically, methods of analysis for the determination ...
Page 84
... Determination of saxitoxin and dc-saxitoxin in mussels – HPLC method using post column derivatisation EN 12955: 1999 Determination of aflatoxin B1, and the sum of aflatoxins B1, B2, G1 and G2 in cereals, shell-fruits and derived ...
... Determination of saxitoxin and dc-saxitoxin in mussels – HPLC method using post column derivatisation EN 12955: 1999 Determination of aflatoxin B1, and the sum of aflatoxins B1, B2, G1 and G2 in cereals, shell-fruits and derived ...
Page 85
... Determination of aflatoxin M1 content Foodstuffs – Determination of Ochratoxin A in cereals and cereal products: Part 1: High performance liquid chromatographic method with silica gel clean up Foodstuffs – Determination of Ochratoxin A ...
... Determination of aflatoxin M1 content Foodstuffs – Determination of Ochratoxin A in cereals and cereal products: Part 1: High performance liquid chromatographic method with silica gel clean up Foodstuffs – Determination of Ochratoxin A ...
Contents
1 | |
11 | |
33 | |
53 | |
91 | |
147 | |
Chapter 7 Analysis of food allergens Practical applications
| 189 |
Chapter 8 Sampling detection identification and quantification of genetically modified organisms GMOs
| 231 |
Chapter 12 Gas chromatographymass spectrometry GCMS
| 419 |
Chapter 13 Liquid chromatography with conventional detection
| 475 |
Chapter 14 Liquid chromatographymass spectrometry
| 509 |
Chapter 15 Capillary electrophoresis
| 561 |
Chapter 16 Sensor biosensors and MIP based sensors
| 599 |
Chapter 17 Atomic Absorption Spectroscopy
| 637 |
Chapter 18 Electrochemical stripping analysis of trace and ultratrace concentrations of toxic metals and metalloids in foods and beverages
| 667 |
Chapter 19 Inductively coupled plasma mass spectrometry
| 697 |
Chapter 9 Extraction procedures
| 269 |
Chapter 10 Cleanup and fractionation methods
| 299 |
Chapter 11 Automated clean up techniques
| 349 |
Index | 753 |
Common terms and phrases
acetonitrile acid Acta adsorption AdSV Agric Allergy amines Anal analyte antibodies antigen AOAC Int applications approach aqueous assay automated biosensors buffer capillary cell Chem chemical Chim Chromatogr chromatography clean clean-up Codex column components compounds concentration contaminants derivatisation detector determination developed electrochemical electrode electrophoresis elements ELISA elution enzyme extraction Figure fluorescence food additives food allergens food analysis Food Chem food products food safety food toxicant analysis gene genetically modified organisms hapten HMDE HPLC ICP-MS immunoassay Immunol injection instruments interferences laboratories levels liquid maize mass mass spectrometry materials matrix matrix effects metalloids metals methods milk molecular molecules mycotoxins ochratoxin PCBs peanut pesticides phase polar potential procedures protein quadrupole quantitative reaction reagents residues sample preparation selectivity sensitivity sensors separation sequence solution solvent sorbents specific Spectrom spectrometry standard target technique temperature toxins
Popular passages
Page 68 - An analytical result is described as 'well behaved' when it complies with this condition. An absolute value of z (|z|) greater than three suggests poor performance in terms of accuracy. This judgement depends on the assumption of the normal distribution, which, outliers apart, seems to be justified in practice. As z is standardised, it is comparable for all analytes and methods. Thus values of z can be combined to give a composite score for a laboratory in one round of a proficiency test. The z-scores...
Page 1 - The food standards, guidelines, and other recommendations of Codex Alimentarius shall be based on the principle of sound scientific analysis and evidence...
Page 4 - ... expected to result (directly or indirectly) in it or its by-products becoming a component of or otherwise affecting the characteristics of such foods. The term does not include "contaminants...
Page 1 - Programme is to protect the health of consumers and to ensure fair practices in the food trade; to promote coordination of all food standards work undertaken by international governmental and non-governmental...
Page 88 - Uncertainty of measurement comprises, in general, many components. Some of these components may be evaluated from the statistical distribution of the results of series of measurements and can be characterized by experimental standard deviations. The other components, which can also be characterized by standard deviations, are evaluated from assumed probability distributions based on experience or other information.
Page 88 - B.1 8 uncertainty (of measurement) a parameter, associated with the result of a measurement, that characterizes the dispersion of the values that could reasonably be attributed to the measurand (NOTES — 1.
Page 1 - State where, in view, on the one hand, of the findings of international scientific research, and in particular of the work of the Community's Scientific Committee for Food, the Codex Alimentarius Committee of the Food and Agriculture Organization of the United Nations (FAO) and the World Health Organization...
Page 73 - ... value. This illustrates the need for the (sampling and) analysis provisions in a standard to be developed at the same time as the numerical value of the characteristics in the standard are negotiated to ensure that the characteristics are related to the methodological procedures prescribed. Precision. Precision is defined as the closeness of agreement between independent test results obtained under prescribed conditions (ISO, 1992).
Page 60 - Multivariate IQC. Multivariate methods in IQC are still the subject of research and cannot be regarded as sufficiently established for inclusion in the guidelines. The current document regards multianalyte data as requiring a series of univariate IQC tests. Caution is necessary in the interpretation of this type of data to avoid inappropriately frequent rejection of data.
Page 73 - Accuracy is defined as the closeness of the agreement between the result of a measurement and a true value of the measureand.18 It may be assessed with the use of reference materials.