Development of electrochemical method to detect bacterial count, Listeria monocytogenes, and somatic cell count in raw milk

Huang, Yi-Ming; Hsu, Heng-Tung; Hsu, Chuan-Liang

doi:10.1016/j.jtice.2016.01.030

Cited by 11 publications

(5 citation statements)

References 27 publications

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“…In the past few years, many new interesting methods have been invented to detect the bacteria at the early stages. Modern approaches include polymer chain reaction [10], fluorescence detection [11], microfluidic [12], genome sequencing [13], electrochemical methods [14], mass spectrometry [15], and microarray [16]. However, these methods require specialised laboratories with sophisticated equipment along with the assistance of high technical skills and complicated sample preparation and post‐processing.…”

Section: Introductionmentioning

confidence: 99%

PANI/TiO ₂ nanocomposite‐based chemiresistive gas sensor for the detection of E. Coli bacteria

Venkatachalaiah

Venkataraman²,

Sellappan

2020

IET nanobiotechnol.

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Section: Introductionmentioning

confidence: 99%

PANI/TiO ₂ nanocomposite‐based chemiresistive gas sensor for the detection of E. Coli bacteria

Venkatachalaiah

Venkataraman²,

Sellappan

2020

IET nanobiotechnol.

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“…In developing an electrochemical method for determining bacterial count, Listeria monocytogenes, and somatic cell count [ 41 ], obtained the R 2 value = 0.90 when associating the current emitted by an amperometric sensor with the amount of SCC present in raw milk.…”

Section: Resultsmentioning

confidence: 99%

Lactoperoxidase potential in diagnosing subclinical mastitis in cows via image processing

et al. 2022

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This report describes how image processing harnessed to multivariate analysis techniques can be used as a bio-analytical tool for mastitis screening in cows using milk samples collected from 48 animals (32 from Jersey, 7 from Gir, and 9 from Guzerat cow breeds), totalizing a dataset of 144 sequential images was collected and analyzed. In this context, this methodology was developed based on the lactoperoxidase activity to assess mastitis using recorded images of a cuvette during a simple experiment and subsequent image treatments with an R statistics platform. The color of the sample changed from white to brown upon its exposure to reagents, which is a consequence of lactoperoxidase enzymatic reaction. Data analysis was performed to extract the channels from the RGB (Red-Green-Blue) color system, where the resulting dataset was evaluated with Principal Component Analysis (PCA), Multiple Linear Regression (MLR), and Second-Order Regression (SO). Interesting results in terms of enzymatic activity correlation (R2 = 0.96 and R2 = 0.98 by MLR and SO, respectively) and of somatic cell count (R2 = 0.97 and R2 = 0.99 by MLR and SO, respectively), important mastitis indicators, were obtained using this simple method. Additionally, potential advantages can be accessed such as quality control of the dairy chain, easier bovine mastitis prognosis, lower cost, analytical frequency, and could serve as an evaluative parameter to verify the health of the mammary gland.

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“…The electrochemical impedance spectroscopy (EIS) method applied to a biopolymer-coated substrate also shows a high sensitivity for hole-like defects and the corrosion caused by biofilm inhomogeneity . Considering the bacteria behavior resembling an inhomogeneous biofilm, it can be a great achievement to apply cyclic voltammetry for the detection and enumeration of bacteria attracting considerable attention for their intrinsic advantages, including fast response, simple equipment, and high specificity. − State-of-the-art research suggests that electrochemical sensors will inevitably become a viable alternative to conventional methods in the near future. EIS is a method for studying conductive materials and phase boundaries .…”

Section: Introductionmentioning

confidence: 99%

Soft Hydrogel Actuator for Fast Machine-Learning-Assisted Bacteria Detection

Lavrentev

Rumyantsev

Ivanov

et al. 2022

ACS Appl. Mater. Interfaces

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We demonstrate that our bio-electrochemical platform facilitates the reduction of detection time from the 3-day period of the existing tests to 15 min. Machine learning and robotized bioanalytical platforms require the principles such as hydrogel-based actuators for fast and easy analysis of bioactive analytes. Bacteria are fragile and environmentally sensitive microorganisms that require a special environment to support their lifecycles during analytical tests. Here, we develop a bio-electrochemical platform based on the soft hydrogel/eutectic gallium–indium alloy interface for the detection of Streptococcus thermophilus and Bacillus coagulans bacteria in various mediums. The soft hydrogel-based device is capable to support bacteria’ viability during detection time. Current–voltage data are used for multilayer perceptron algorithm training. The multilayer perceptron model is capable of detecting bacterial concentrations in the 104 to 108 cfu/mL range of the culture medium or in the dairy products with high accuracy (94%). Such a fast and easy biodetection is extremely important for food and agriculture industries and biomedical and environmental science.

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Development of electrochemical method to detect bacterial count, Listeria monocytogenes, and somatic cell count in raw milk

Cited by 11 publications

References 27 publications

PANI/TiO ₂ nanocomposite‐based chemiresistive gas sensor for the detection of E. Coli bacteria

PANI/TiO ₂ nanocomposite‐based chemiresistive gas sensor for the detection of E. Coli bacteria

Lactoperoxidase potential in diagnosing subclinical mastitis in cows via image processing

Soft Hydrogel Actuator for Fast Machine-Learning-Assisted Bacteria Detection

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Development of electrochemical method to detect bacterial count, Listeria monocytogenes, and somatic cell count in raw milk

Cited by 11 publications

References 27 publications

PANI/TiO 2 nanocomposite‐based chemiresistive gas sensor for the detection of E. Coli bacteria

PANI/TiO 2 nanocomposite‐based chemiresistive gas sensor for the detection of E. Coli bacteria

Lactoperoxidase potential in diagnosing subclinical mastitis in cows via image processing

Soft Hydrogel Actuator for Fast Machine-Learning-Assisted Bacteria Detection

Contact Info

Product

Resources

About

PANI/TiO ₂ nanocomposite‐based chemiresistive gas sensor for the detection of E. Coli bacteria

PANI/TiO ₂ nanocomposite‐based chemiresistive gas sensor for the detection of E. Coli bacteria