Biniam Kebede

Biniam Kebede

University of Otago

H-index: 26

Oceania-New Zealand

About Biniam Kebede

Biniam Kebede, With an exceptional h-index of 26 and a recent h-index of 23 (since 2020), a distinguished researcher at University of Otago, specializes in the field of Food Science and Technology, Food processing, Quality, Omics, Big-data analysis.

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

Exploring oat lipid profile and changes in volatile profile of oats upon cooking into porridge using a foodomics approach

Evaluate the volatile retention performance of structurally modified cassava flour through pulsed electric fields

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

New Implications of Metabolites and Free Fatty Acids in Quality Control of Crossbred Wagyu Beef during Wet Aging Cold Storage

The Potential of NIR Spectroscopy and Chemometrics to Discriminate Roast Degrees and Predict Volatiles in Coffee

Chemical, rheological, and volatile profiling of microalgae Arthrospira, Isochrysis, Nannochloropsis, and Tetraselmis species

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

Evaluation of the bioprotective potential of gastrointestinal digest fractions of Arthrospira sp. and Nannochloropsis sp. suspensions treated with high pressure homogenisation

Biniam Kebede Information

University

Position

Lecturer in Food Science

Citations(all)

1937

Citations(since 2020)

1529

Cited By

853

hIndex(all)

26

hIndex(since 2020)

23

i10Index(all)

50

i10Index(since 2020)

48

Email

University Profile Page

Google Scholar

Biniam Kebede Skills & Research Interests

Food Science and Technology

Food processing

Quality

Omics

Big-data analysis

Top articles of Biniam Kebede

Exploring oat lipid profile and changes in volatile profile of oats upon cooking into porridge using a foodomics approach

LWT

2024/4/15

Indrawati Oey
Indrawati Oey

H-Index: 34

Biniam Kebede
Biniam Kebede

H-Index: 18

Evaluate the volatile retention performance of structurally modified cassava flour through pulsed electric fields

Innovative Food Science & Emerging Technologies

2024/3/1

Biniam Kebede
Biniam Kebede

H-Index: 18

Indrawati Oey
Indrawati Oey

H-Index: 34

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

Food Control

2024/2/1

New Implications of Metabolites and Free Fatty Acids in Quality Control of Crossbred Wagyu Beef during Wet Aging Cold Storage

Metabolites

2024/1/29

Biniam Kebede
Biniam Kebede

H-Index: 18

The Potential of NIR Spectroscopy and Chemometrics to Discriminate Roast Degrees and Predict Volatiles in Coffee

Molecules

2024/1/9

Russell Frew
Russell Frew

H-Index: 25

Biniam Kebede
Biniam Kebede

H-Index: 18

Chemical, rheological, and volatile profiling of microalgae Arthrospira, Isochrysis, Nannochloropsis, and Tetraselmis species

Food Innovation and Advances

2024

Indrawati Oey
Indrawati Oey

H-Index: 34

Biniam Kebede
Biniam Kebede

H-Index: 18

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

Food Innovation and Advances

2024

Evaluation of the bioprotective potential of gastrointestinal digest fractions of Arthrospira sp. and Nannochloropsis sp. suspensions treated with high pressure homogenisation

Sustainable Food Technology

2024

Indrawati Oey
Indrawati Oey

H-Index: 34

Biniam Kebede
Biniam Kebede

H-Index: 18

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

Metabolomics: A suitable foodomics approach to the geographical origin traceability of Ethiopian Arabica specialty coffees

2023/8

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

Linking cocoa quality attributes to its origin using geographical indications

2023/4/25

Russell Frew
Russell Frew

H-Index: 25

Biniam Kebede
Biniam Kebede

H-Index: 18

Understanding the volatile flavour changes during accelerated shelf-life testing of oats using chemometrics and kinetic modelling

Food Chemistry

2023/3/30

A review of conventional and rapid analytical techniques coupled with multivariate analysis for origin traceability of soybean

2023/1/21

Russell Frew
Russell Frew

H-Index: 25

Biniam Kebede
Biniam Kebede

H-Index: 18

Effects of Hydrothermal Processing on Volatile and Fatty Acids Profile of Cowpeas (Vigna unguiculata), Chickpeas (Cicer arietinum) and Kidney Beans (Phaseolus vulgaris)

Molecules

2022/11/24

Changes in starch in vitro digestibility and properties of cassava flour due to pulsed electric field processing

Foods

2022/11/18

Effect of High Hydrostatic Pressure Processing on Starch Properties of Cassava Flour

High Pressure Research

2023/4/3

Modelling the non-linear development of Shenley Station blue cheese volatiles during ripening using untargeted volatile fingerprinting and self-organizing maps

Food Chemistry Advances

2022/10/1

Biniam Kebede
Biniam Kebede

H-Index: 18

Phil Bremer
Phil Bremer

H-Index: 25

Macronutrients and mineral composition of wild harvested Prionoplus reticularis edible insect at various development stages: nutritional and mineral safety …

International Journal of Food Science & Technology

2022/10

Biniam Kebede
Biniam Kebede

H-Index: 18

Dominic Agyei
Dominic Agyei

H-Index: 18

See List of Professors in Biniam Kebede University(University of Otago)

Co-Authors

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