Work

Functionalized Graphene-Based Biosensors for Early Detection of Subclinical Ketosis in Dairy Cows

Year: 2024

Type: article

Abstract: High Resolution Image Download MS PowerPoint Slide Precision livestock farming utilizing advanced diagnostic tools, including biosensors, can play a key role in the management of livestock operations to improve the productivity, health, and well-being of animals. Detection of ketosis, a metabolic disease that occurs in early lactation dairy cows due to a negative energy balance, is one potential on-farm use of biosensors. Beta-hydroxybutyrate (βHB) is an excellent biomarker for monitoring ketosis in dairy cows because βHB is one of the main ketones produced during this metabolic state. In this report, we developed a low-cost, Keto-sensor (graphene-based sensor) for the detection of βHB concentrations in less than a minute. On this device, graphene nanosheets were layered onto a screen-printed electrode (SPE), and then, a stabilized enzyme (beta-hydroxybutyrate dehydrogenase, NAD +, and glycerol) was used to functionalize the graphene surface enabled by EDC–NHS conjugation chemistry. The Keto-sensor offers an analytical sensitivity of 10 n m and a limit of detection (LoD) of 0.24 n m within a detection range of 0.01 μ m –3.00 m m . Spike testing indicates that the Keto-sensor can detect βHB in serum samples from bovines with subclinical ketosis. The Keto-sensor developed in this study shows promising results for early detection of subclinical ketosis on farms.

Source: ACS Applied Materials & Interfaces

DOI: 10.1021/acsami.4c07715

Authors: Shannon Chick, Matin Ataei Kachouei, Katharine Knowlton, Md. Azahar Ali

Institution: Virginia Tech

Language: English

Topic: Electrochemical sensors and biosensors

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Zero hunger

Open Access status: hybrid

Estimated APC paid: $4,500