Au@ZIF-8 SERS paper for food spoilage detection

尸体 腐胺 食物腐败 化学 分子 材料科学 拉曼光谱 纳米技术 拉曼散射 纳米颗粒 细菌 有机化学 物理 光学 生物 遗传学
作者
Hongki Kim,Ba Thong Trinh,Kyung Ho Kim,Jeong Moon,Hyunju Kang,Kwanghyeon Jo,Rashida Akter,Jinyoung Jeong,Eun‐Kyung Lim,Juyeon Jung,Ho‐Suk Choi,Hyun Gyu Park,Oh Seok Kwon,Ilsun Yoon,Taejoon Kang
出处
期刊:Biosensors and Bioelectronics [Elsevier]
卷期号:179: 113063-113063 被引量:115
标识
DOI:10.1016/j.bios.2021.113063
摘要

Putrescine and cadaverine are important volatile indicators for the evaluation of food spoilage. In this study, a metal-organic framework (MOF)-coated surface-enhanced Raman scattering (SERS) paper platform for the detection of putrescine and cadaverine is developed. [email protected] zeolite imidazolate framework-8 (ZIF-8) SERS paper is fabricated by the coating of ZIF-8 layer on a Au nanoparticle-impregnated paper that is prepared by dry plasma reduction. The [email protected] SERS paper is characterized by scanning electron microscope, energy-dispersive X-ray spectroscopy, X-ray diffraction, and N2 sorption isotherm. The ZIF-8 layer enables the accumulation of gaseous molecules and also provides enhancement of SERS signals. The fluorescence, SERS, and simulation results prove the improved detection ability of the [email protected] platform for the volatile molecules. For the selective detection of putrescine and cadaverine, the [email protected] SERS paper is functionalized with 4-mercatobenzaldehyde (4-MBA). The 4-MBA molecule acts as a Raman reporter and also a specific receptor for the volatile amine molecules. Using the intensity ratiometric detection of 4-MBA-functionalized [email protected] SERS paper, putrescine and cadaverine are quantitatively detected with detection limits of 76.99 and 115.88 parts per billion, respectively. Furthermore, the detection of volatile amine molecules released from spoiled salmon, chicken, beef, and pork samples is demonstrated. It is anticipated that the MOF-coated SERS paper platforms will be applicable not only in food safety but other applications including disease diagnosis and environmental monitoring.
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