From sample preparation to NMR‐based metabolic profiling in food commodities: The case of table olives

2021 ◽  
Author(s):  
Stavros Beteinakis ◽  
Anastasia Papachristodoulou ◽  
Emmanuel Mikros ◽  
Maria Halabalaki
2015 ◽  
Vol 113 ◽  
pp. 137-150 ◽  
Author(s):  
Olga Deda ◽  
Helen G. Gika ◽  
Ian D. Wilson ◽  
Georgios A. Theodoridis

2015 ◽  
Vol 36 (18) ◽  
pp. 2140-2147 ◽  
Author(s):  
Xiyue Wang ◽  
Fengxu Yang ◽  
Yuansheng Zhang ◽  
Guowang Xu ◽  
Yang Liu ◽  
...  

2017 ◽  
Vol 1047 ◽  
pp. 115-123 ◽  
Author(s):  
Olga Deda ◽  
Anastasia Chrysovalantou Chatziioannou ◽  
Stella Fasoula ◽  
Dimitris Palachanis ◽  
Νicolaos Raikos ◽  
...  

1997 ◽  
Vol 43 (7) ◽  
pp. 1129-1141 ◽  
Author(s):  
Mohamed S Rashed ◽  
Martin P Bucknall ◽  
Douglas Little ◽  
Amin Awad ◽  
Minnie Jacob ◽  
...  

Abstract Metabolic profiling of amino acids and acylcarnitines from blood spots by automated electrospray tandem mass spectrometry (ESI-MS/MS) is a powerful diagnostic tool for inborn errors of metabolism. New approaches to sample preparation and data interpretation have helped establish the methodology as a robust, high-throughput neonatal screening method. We introduce an efficient 96-well-microplate batch process for blood-spot sample preparation, with which we can obtain high-quality profiles from 500-1000 samples per day per instrument. A computer-assisted metabolic profiling algorithm automatically flags abnormal profiles. We selected diagnostic parameters for the algorithm by comparing profiles from patients with known metabolic disorders and those from normal newborns. Reference range and cutoff values for the diagnostic parameters were established by measuring either metabolite concentrations or peak ratios of certain metabolite pairs. Rigorous testing of the algorithm demonstrates its outstanding clinical sensitivity in flagging abnormal profiles and its high cumulative specificity.


Author(s):  
Kelly Veerasammy ◽  
Yuki X. Chen ◽  
Sami Sauma ◽  
Mathilde Pruvost ◽  
David K. Dansu ◽  
...  

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