Selective and Accurate Detection of Nitrate in Aquaculture Water with Surface-Enhanced Raman Scattering (SERS) Using Gold Nanoparticles Decorated with β-Cyclodextrins

Author:

Li Zhen12345,Hu Yang134,Wang Liu134,Liu Houfang25,Ren Tianling25,Wang Cong134ORCID,Li Daoliang134ORCID

Affiliation:

1. National Innovation Center for Digital Fishery, China Agricultural University, Beijing 100083, China

2. School of Integrated Circuit, Tsinghua University, Beijing 100084, China

3. Key Laboratory of Smart Farming Technologies for Aquatic Animal and Livestock, Ministry of Agriculture and Rural Affairs, China Agricultural University, Beijing 100083, China

4. College of Information and Electrical Engineering, China Agricultural University, Beijing 100083, China

5. Beijing National Research Center for Information Science and Technology (BNRist), Tsinghua University, Beijing 100084, China

Abstract

A surface-enhanced Raman scattering (SERS) method for measuring nitrate nitrogen in aquaculture water was developed using a substrate of β-cyclodextrin-modified gold nanoparticles (SH-β-CD@AuNPs). Addressing the issues of low sensitivity, narrow linear range, and relatively poor selectivity of single metal nanoparticles in the SERS detection of nitrate nitrogen, we combined metal nanoparticles with cyclodextrin supramolecular compounds to prepare a AuNPs substrate enveloped by cyclodextrin, which exhibits ultra-high selectivity and Raman activity. Subsequently, vanadium(III) chloride was used to convert nitrate ions into nitrite ions. The adsorption mechanism between the reaction product benzotriazole (BTAH) of o-phenylenediamine (OPD) and nitrite ions on the SH-β-CD@AuNPs substrate was studied through SERS, achieving the simultaneous detection of nitrate nitrogen and nitrite nitrogen. The experimental results show that BTAH exhibits distinct SERS characteristic peaks at 1168, 1240, 1375, and 1600 cm−1, with the lowest detection limits of 3.33 × 10−2, 5.84 × 10−2, 2.40 × 10−2, and 1.05 × 10−2 μmol/L, respectively, and a linear range of 0.1–30.0 μmol/L. The proposed method provides an effective tool for the selective and accurate online detection of nitrite and nitrate nitrogen in aquaculture water.

Funder

National Key R&D Program of China

National Natural Science Foundation of China

National Innovation Center for Digital Fishery

China Agricultural University

Guoqiang Institute, Tsinghua University

Publisher

MDPI AG

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