Non-targeted authentication of black pepper using a local web platform: Development, validation and post-analytical challenges of a combined NIR spectroscopy and LASSO method

[1]  L. Eberlin,et al.  Identifying Clinically Relevant Bacteria Directly from Culture and Clinical Samples with a Handheld Mass Spectrometry Probe. , 2022, Clinical chemistry.

[2]  A. Tata,et al.  Geographical identification of Italian extra virgin olive oil by the combination of near infrared and Raman spectroscopy: A feasibility study , 2021, Journal of Near Infrared Spectroscopy.

[3]  M. Suman,et al.  Detection of soft-refined oils in extra virgin olive oil using data fusion approaches for LC-MS, GC-IMS and FGC-Enose techniques: The winning synergy of GC-IMS and FGC-Enose , 2021, Food Control.

[4]  A. Zarrine-Afsar,et al.  Lipid Profiling in Cancer Diagnosis with Hand-Held Ambient Mass Spectrometry Probes: Addressing the Late-Stage Performance Concerns , 2021, Metabolites.

[5]  G. Sammarco,et al.  Fighting food frauds exploiting chromatography-mass spectrometry technologies: Scenario comparison between solutions in scientific literature and real approaches in place in industrial facilities , 2021 .

[6]  L. Eberlin,et al.  Rapid Analysis and Authentication of Meat Using the MasSpec Pen Technology. , 2021, Journal of agricultural and food chemistry.

[7]  Michele Suman,et al.  Oregano authentication by mid-level data fusion of chemical fingerprint signatures acquired by ambient mass spectrometry , 2021 .

[8]  C. Huck,et al.  Near-infrared spectroscopy in quality control of Piper nigrum: A comparison of performance of benchtop and handheld spectrometers. , 2021, Talanta.

[9]  Pei Chen,et al.  Chemical analysis and classification of black pepper (Piper nigrum L.) based on their country of origin using mass spectrometric methods and chemometrics. , 2020, Food research international.

[10]  K. Moon,et al.  Feasibility of rapid piperine quantification in whole and black pepper using near infrared spectroscopy and chemometrics. , 2020, Journal of food science.

[11]  J. Lafeuille,et al.  A rapid non-targeted method for detecting the adulteration of black pepper with a broad range of endogenous and exogenous material at economically motivating levels using micro-ATR-FT-MIR Imaging. , 2019, Journal of agricultural and food chemistry.

[12]  Douglas Fernandes Barbin,et al.  Hyperspectral imaging as a powerful tool for identification of papaya seeds in black pepper , 2019, Food Control.

[13]  C. Elliott,et al.  The feasibility of applying NIR and FT-IR fingerprinting to detect adulteration in black pepper , 2019, Food Control.

[14]  Katherine R. Sebastian,et al.  Performance of the MasSpec Pen for Rapid Diagnosis of Ovarian Cancer. , 2019, Clinical chemistry.

[15]  Shuai Ma,et al.  Assessing the authenticity of black pepper using diffuse reflectance mid-infrared Fourier transform spectroscopy coupled with chemometrics , 2018, Comput. Electron. Agric..

[16]  Michele Suman,et al.  The scientific challenges in moving from targeted to non-targeted mass spectrometric methods for food fraud analysis: A proposed validation workflow to bring about a harmonized approach , 2018, Trends in Food Science & Technology.

[17]  Christopher T. Elliott,et al.  What are the scientific challenges in moving from targeted to non-targeted methods for food fraud testing and how can they be addressed? – Spectroscopy case study , 2018, Trends in Food Science & Technology.

[18]  Isabelle C.J. Silvis,et al.  Assessment of food fraud vulnerability in the spices chain: An explorative study , 2017 .

[19]  Thomas E. Milner,et al.  Nondestructive tissue analysis for ex vivo and in vivo cancer diagnosis using a handheld mass spectrometry system , 2017, Science Translational Medicine.

[20]  Christopher T. Elliott,et al.  A comprehensive strategy to detect the fraudulent adulteration of herbs: The oregano approach , 2016, Food chemistry.

[21]  Paul Geladi,et al.  Near Infrared and Mid-Infrared Spectroscopy for the Quantification of Adulterants in Ground Black Pepper , 2012 .

[22]  Monica Casale,et al.  Comparison between classical and innovative class-modelling techniques for the characterisation of a PDO olive oil , 2011, Analytical and bioanalytical chemistry.

[23]  L. Santos,et al.  Fast quantitative detection of black pepper and cumin adulterations by near-infrared spectroscopy and multivariate modeling , 2020 .

[24]  R. Tibshirani Regression Shrinkage and Selection via the Lasso , 1996 .