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Food Chemistry
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July 10, 2025
A combined elementomics, metabolomics, and chemometrics approach as tools to identify the geographic origins of black pepper
Cynthia Adaku Chilaka, Maria Del Mar Aparicio-Muriana, Awanwee Petchkongkaew, et al.
Food Chemistry
|
November 25, 2023
Fingerprinting black tea: When spectroscopy meets machine learning a novel workflow for geographical origin identification
Yicong Li, Natasha Logan, Brian Quinn, et al.
NPJ Science of Food
|
December 9, 2025
Mapping the global origins of soybean: a study using ICP-MS and chemometrics
M Mar Aparicio-Muriana, Yunhe Hong, Cynthia A Chilaka, et al.
NPJ Science of Food
|
February 12, 2022
Identification of milk from different animal and plant sources by desorption electrospray ionisation high-resolution mass spectrometry (DESI-MS)
Yunhe Hong, Nicholas Birse, Brian Quinn, et al.
Food Chemistry
|
February 11, 2026
Transforming food authenticity testing by the exploitation of a machine learning - Data fusion approach: a tea case study
Yicong Li, Natasha Logan, Awanwee Petchkongkaew, et al.
Food Chemistry
|
April 5, 2025
Machine learning-guided Orbitrap-HRAMS-based metabolomic fingerprinting for geographical origin, variety and tissue specific authentication, and adulteration detection of turmeric and ashwagandha
C H Ratnasekhar, Abhishek Kumar Rai, Poonam Rakwal, et al.
Nature Communications
|
June 8, 2023
Data fusion and multivariate analysis for food authenticity analysis
Yunhe Hong, Nicholas Birse, Brian Quinn, et al.
Journal of Pharmaceutical Analysis
|
October 16, 2023
Rapid metabolic fingerprinting with the aid of chemometric models to identify authenticity of natural medicines: Turmeric, <i>Ocimum</i>, and <i>Withania somnifera</i> study
Samreen Khan, Abhishek Kumar Rai, Anjali Singh, et al.
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of 2
Search research articles
Search
Showing results (11-20 of 18) with videos related to
Sort By:
Page
of 2
You have reached the last page of results.
This site can display upto 18 results.
Food Chemistry
|
July 10, 2025
A combined elementomics, metabolomics, and chemometrics approach as tools to identify the geographic origins of black pepper
Cynthia Adaku Chilaka, Maria Del Mar Aparicio-Muriana, Awanwee Petchkongkaew, et al.
Food Chemistry
|
November 25, 2023
Fingerprinting black tea: When spectroscopy meets machine learning a novel workflow for geographical origin identification
Yicong Li, Natasha Logan, Brian Quinn, et al.
NPJ Science of Food
|
December 9, 2025
Mapping the global origins of soybean: a study using ICP-MS and chemometrics
M Mar Aparicio-Muriana, Yunhe Hong, Cynthia A Chilaka, et al.
NPJ Science of Food
|
February 12, 2022
Identification of milk from different animal and plant sources by desorption electrospray ionisation high-resolution mass spectrometry (DESI-MS)
Yunhe Hong, Nicholas Birse, Brian Quinn, et al.
Food Chemistry
|
February 11, 2026
Transforming food authenticity testing by the exploitation of a machine learning - Data fusion approach: a tea case study
Yicong Li, Natasha Logan, Awanwee Petchkongkaew, et al.
Food Chemistry
|
April 5, 2025
Machine learning-guided Orbitrap-HRAMS-based metabolomic fingerprinting for geographical origin, variety and tissue specific authentication, and adulteration detection of turmeric and ashwagandha
C H Ratnasekhar, Abhishek Kumar Rai, Poonam Rakwal, et al.
Nature Communications
|
June 8, 2023
Data fusion and multivariate analysis for food authenticity analysis
Yunhe Hong, Nicholas Birse, Brian Quinn, et al.
Journal of Pharmaceutical Analysis
|
October 16, 2023
Rapid metabolic fingerprinting with the aid of chemometric models to identify authenticity of natural medicines: Turmeric, <i>Ocimum</i>, and <i>Withania somnifera</i> study
Samreen Khan, Abhishek Kumar Rai, Anjali Singh, et al.
Page
of 2