Journal
JOURNAL OF FOOD ENGINEERING
Volume 215, Issue -, Pages 147-155Publisher
ELSEVIER SCI LTD
DOI: 10.1016/j.jfoodeng.2017.07.019
Keywords
Alternaria alternata; Detection; Pear juice; SERS; Silver nanodots array
Categories
Funding
- International S&T Cooperation Program of China [2015DFA71150]
- Collaborative Innovation Major Special Projects of Guangzhou City [201508020097, 201604020007, 201604020057]
- Guangdong Provincial Science and Technology Plan Projects [2015A020209016, 2016A040403040]
- Key Projects of Administration of Ocean and Fisheries of Guangdong Province [A201401C04]
- National Key Technologies RD Program [2015BAD19803]
- International and Hong Kong - Macau Taiwan Collaborative Innovation Platform of Guangdong Province on Intelligent Food Quality Control and Process Technology Equipment [2015KGJHZ001]
- Guangdong Provincial R & D Centre for the Modern Agricultural Industry on Non-destructive Detection and Intensive Processing of Agricultural Products
- Common Technical Innovation Team of Guangdong Province on Preservation and Logistics of Agricultural Products [2016LM2154]
- China Postdoctoral Science Foundation [2017M612672]
- Fundamental Research Funds for the Central Universities [2017MS067]
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In this work, a rapid and accurate surface-enhanced Raman spectroscopy (SERS) based on silver nanodots (AgNDs) array substrate method was used to detect Alternaria alternata (A. alternata) in both sterile water and pear juice (an example of complex food matrix). The substrate fabrication conditions were firstly optimized to obtain the maximal SERS enhancement. SERS and Raman mapping methods were then used to scan the A. alternata adsorbed on the surface of the substrate, and the intrinsic and distinct SERS signals of A. alternata were used as the basis for detection. It was found that using A. alternata in sterile water as a model sample, the method was able to detect the A. alternata with a limit of detection (LOD) as low as 1.0 x 10(3) cfu/mL. Moreover, the newly developed method could also realize rapid detection of A. alternata in pear juice, and the lowest detectable A. alternata concentration was less than 1.0 x 10(4) cfu/ mL. In addition, the A. alternata concentration range from 1.0 x 10(4) cfu/mL to 1.0 x 10(6) cfu/mL could be detected by SERS mapping. This study provides a convenient method for the detection of low-level A. alternata in complex food matrix, and further information and guidance for the design of a SERS-based detection. (C) 2017 Elsevier Ltd. All rights reserved.
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