Design Principles of Nanosensors for Multiplex Detection of Contaminants in Food

Author:

Zhang Yang1ORCID,Gao Shipeng1,Li Haoran2,Yang Tianxi3,Zheng Kaiyi1,Guo Zhing Ming1,Shi Jiyong1,Huang Xiaowei1,Zou Xiaobo1,Picchetti Pierre4,Biedermann Frank4

Affiliation:

1. School of Food and Biological Engineering Jiangsu University 301 Xuefu Road Zhenjiang 212013 China

2. School of Electrical and Information Engineering Jiangsu University 301 Xuefu Road Zhenjiang 212013 China

3. Food, Nutrition and Health, Faculty of Land and Food Systems The University of British Columbia Vancouver BC V6T 1Z4 Canada

4. Institute of Nanotechnology (INT) Karlsruhe Institute of Technology (KIT) Kaiserstrasse 12 76131 Karlsruhe Germany

Abstract

AbstractThe rapid and cost‐effective detection of food contaminants such as toxins and pathogens is a major challenge and a key concern for food safety. To this end, innovative, fast, cost‐effective, and easy‐to‐use sensors must be developed at the point where food is produced, distributed, and consumed. Therefore, timely detection and response to food contaminants can improve human health and reduce economic burden. However, affordable sensor technologies with specificity, sensitivity, and speed are required, which can be used by non‐specialized personnel and enable high throughput analysis. In this respect, advances in the development of nanoparticle‐based sensors, i.e., nanosensors, have shown the potential to provide the much‐anticipated versatile sensors. In addition, multiplex detection, i.e., the ability to detect multiple targets simultaneously, is another strategy facilitated by nanoparticle‐based sensors and will enable further improvements in sensor performance that are important for developing effective monitoring. This review summarizes the nanosensors for multiplex sensing of food samples with respect to hazardous contaminates reported over the past few years. In addition, special attention is paid to providing the reader with promising design principles and the current performance of the sensitivity and selectivity of such sensors for practical requirements, thereby inspiring new ideas for developing further advanced systems.

Funder

Natural Science Foundation of Jiangsu Province

Senior Talent Foundation of Jiangsu University

Fonds der Chemischen Industrie

Publisher

Wiley

Reference619 articles.

1. World Health Organization WHO Estimates of the Global Burden of Foodborne Diseases: Foodborne Disease Burden Epidemiology Reference Group 2007–2015 World Health Organization2015.

2. A meta-analysis of projected global food demand and population at risk of hunger for the period 2010–2050

3. Liquid chromatography–mass spectrometry in food safety

4. Application of immunochemical assays to food analysis

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