Cushla McGoverin

About Cushla McGoverin

Cushla McGoverin, With an exceptional h-index of 31 and a recent h-index of 21 (since 2020), a distinguished researcher at University of Auckland, specializes in the field of Vibrational spectroscopy, Pharmaceuticals, Dairy products, Cereals, Biological tissues.

His recent articles reflect a diverse array of research interests and contributions to the field:

Rapid detection of viable microbes with 5-cyano-2, 3-di-(p-tolyl) tetrazolium chloride and 5 (6)-carboxyfluorescein diacetate using a fibre fluorescence spectroscopy system

Machine learning-driven hyperspectral imaging for non-destructive origin verification of green coffee beans across continents, countries, and regions

Optimisation of vibrational spectroscopy instruments and pre-processing for classification problems across various decision parameters

Support vector regression for prediction of stable isotopes and trace elements using hyperspectral imaging on coffee for origin verification

Near-infrared reflectance spectroscopy accurately predicted isotope and elemental compositions for origin traceability of coffee

Continuous separation of bacterial cells from large debris using a spiral microfluidic device

Stable isotope and trace element analyses with non‐linear machine‐learning data analysis improved coffee origin classification and marker selection

Characterization of Variably Substituted Hydroxyapatites Using Low-Frequency Raman Spectroscopy

Cushla McGoverin Information

University

Position

Research Fellow

Citations(all)

2677

Citations(since 2020)

1381

Cited By

1818

hIndex(all)

31

hIndex(since 2020)

21

i10Index(all)

49

i10Index(since 2020)

37

Email

University Profile Page

Google Scholar

Cushla McGoverin Skills & Research Interests

Vibrational spectroscopy

Pharmaceuticals

Dairy products

Cereals

Biological tissues

Top articles of Cushla McGoverin

Rapid detection of viable microbes with 5-cyano-2, 3-di-(p-tolyl) tetrazolium chloride and 5 (6)-carboxyfluorescein diacetate using a fibre fluorescence spectroscopy system

Journal of Applied Microbiology

2024/3

Machine learning-driven hyperspectral imaging for non-destructive origin verification of green coffee beans across continents, countries, and regions

Food Control

2024/2/1

Optimisation of vibrational spectroscopy instruments and pre-processing for classification problems across various decision parameters

Food Innovation and Advances

2024

Support vector regression for prediction of stable isotopes and trace elements using hyperspectral imaging on coffee for origin verification

Food Research International

2023/12/1

Near-infrared reflectance spectroscopy accurately predicted isotope and elemental compositions for origin traceability of coffee

Food Chemistry

2023/11/30

Continuous separation of bacterial cells from large debris using a spiral microfluidic device

Biomicrofluidics

2023/7/1

Stable isotope and trace element analyses with non‐linear machine‐learning data analysis improved coffee origin classification and marker selection

Journal of the Science of Food and Agriculture

2023/7

Characterization of Variably Substituted Hydroxyapatites Using Low-Frequency Raman Spectroscopy

Crystal Growth & Design

2023/6/28

Optical trapping of micro-particles and bacterial cells in a flow-focusing microfluidic device

2023/6/26

Constructing a multiple‐part morphospace using a multiblock method

Methods in Ecology and Evolution

2023/1

A single channel microfluidic device with integrated optical fibre for large volume detection and enumeration of bacterial cells

2022/10/17

Optical methods for bacterial detection and characterization

APL Photonics

2021/8/1

A novel optical biosensor for in situ and small-scale monitoring of bacterial transport in saturated columns

Journal of Environmental Management

2021/7/1

Rapid Detection of Escherichia coli Antibiotic Susceptibility Using Live/Dead Spectrometry for Lytic Agents

Microorganisms

2021/4/26

Potential of Raman spectroscopy in facilitating pharmaceutical formulations development–an AI perspective

2021/3/15

Species dependence of SYTO 9 staining of bacteria

Frontiers in microbiology

2020/9/3

Asia-pacific optical sensors conference: focus issue introduction

Optics Express

2020/7/20

Quantitative fluorescence spectroscopy to detect and identify bacteria and to monitor their viability (Conference Presentation)

2020/3/10

See List of Professors in Cushla McGoverin University(University of Auckland)