Application of Computational Methods for the Safety Assessment of Food Ingredients

Volarath, Patra; Zang, Y.; Kabadi, Shruti V.

doi:10.1007/978-3-030-16443-0_12

Cited by 2 publications

(1 citation statement)

References 53 publications

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“…The combined information on food additives referring to ADME properties has not been thoroughly explored yet. Computational strategies based on the quantitative structure–activity relationship (QSAR) are an alternative approach to animal testing that is highly robust and rapid to perform safety/toxicity evaluation. − Computational toxicology complements the existing toxicity tests to predict toxicity without sacrificing laboratory animals, guide toxicity tests, and prioritize chemicals with a time- and cost-effective framework . To overcome this aforementioned shortfall on food additive properties and safety, we built a Food-Additive-Consumption-Safety Database (FOCUS-DB), an online comprehensive database on food additives that enables an exploration of food additives’ physicochemical properties, structures, identifying natural compounds, natural sources, ADI values, GHS signals, biological pathways, and links to other major recognized resources and databases.…”

Section: Introductionmentioning

confidence: 99%

FOCUS-DB: An Online Comprehensive Database on Food Additive Safety

Chauhan

Sachan

Parthasarathi

2020

J. Chem. Inf. Model.

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Processing and packaging food has greatly exaggerated the use of food additives in different types of food products. Safety assessment to determine the pharmacokinetic and toxicological properties of food additives is imperative and experimentally challenging. Several resources of food additives properties have been collated; however, information remains partial, scattered, and not readily accessible, particularly for food safety. To address the concern related to the potential health hazard of food additives, we have developed the Food-Additive-Consumption-Safety Database (FOCUS-DB). Presently, the database comprises 2885 food additives, distributed into 18 categories with 40,800 collected data points, 89,435 predicted data points, and 14,425 external links. The dynamic web interface of the FOCUS-DB resource enables a risk assessment of additives, their approval status in various regulatory authorities, physicochemical properties, acceptable daily intake, GHS signals, biological pathways, predicted pharmacokinetic parameters, and various toxicity endpoint values. FOCUS-DB supports the exploration of food additives; it is beneficial for both the regulatory authorities and industries to optimize the usage limits of the additives and formulations. This database is a promising tool that helps understand the relationship between food additives and toxicity, which could be used to develop a future food safety framework.

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Section: Introductionmentioning

confidence: 99%

FOCUS-DB: An Online Comprehensive Database on Food Additive Safety

Chauhan

Sachan

Parthasarathi

2020

J. Chem. Inf. Model.

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Food Additives

Zang,

Kabadi

2023

Patty's Toxicology

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Food additives include substances that are directly added to food with the intention of having a particular technical effect on food (known as “direct food additives”), as well as components of materials used in manufacturing, packing, packaging, transporting, or holding food such that their use is not intended to have a technical effect on food but may result in those components migrating to food (known as “indirect food additives” or “food contact substances”). So far, thousands of food additives have been developed to meet the increasing demand for safe, convenient, and nutritious food. With the widespread use of food additives in the food industry, ensuring the safety of food additives is extremely important to protect public health. This chapter provides an overview of both direct and indirect food additives in terms of their definitions, intended uses, regulatory background, and methods for assessing their safety. Additionally, workplace safety considerations related to the production and handling of food additives in occupational settings are briefly discussed. Furthermore, some examples of both types of food additives are given at the end of the chapter, together with related resources available for further information.

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Application of Computational Methods for the Safety Assessment of Food Ingredients

Cited by 2 publications

References 53 publications

FOCUS-DB: An Online Comprehensive Database on Food Additive Safety

FOCUS-DB: An Online Comprehensive Database on Food Additive Safety

Food Additives

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