High Asymmetric Longitudinal Field Ion Mobility Spectrometry Device for Low Power Mobile Chemical Separation and Detection

Autor: Yuriy Zrodnikov, Maneeshin Y. Rajapakse, Daniel J. Peirano, Alexander A. Aksenov, Cristina E. Davis, Nicholas J. Kenyon

Publikováno v: Analytical chemistry, vol 91, iss 9
Anal Chem

We have developed a novel chemical sensing technique termed high asymmetric longitudinal field ion mobility spectrometry (HALF-IMS), which allows separation of ions based on mobility differences in high and low electric fields. Our device is microfab

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::81e1678c431c116025d76be869d4840b
https://doi.org/10.1021/acs.analchem.8b05577

Machine Vision Methods, Natural Language Processing, and Machine Learning Algorithms for Automated Dispersion Plot Analysis and Chemical Identification from Complex Mixtures

Autor: Cristina E. Davis, Nicholas J. Kenyon, Mitchell M. McCartney, Maneeshin Y. Rajapakse, Paul T. Hichwa, Danny Yeap, Daniel J. Peirano

Publikováno v: Analytical chemistry, vol 91, iss 16
Anal Chem

Gas phase trace chemical detection techniques such as ion mobility spectrometry (IMS) and differential mobility spectrometry (DMS) can be used in many settings, such as evaluating the health condition of patients or detecting explosives at airports.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b6b53f864baf74886145cf4698c6ddb5
https://escholarship.org/uc/item/7tt8x45x

Supervised semi-automated data analysis software for gas chromatography / differential mobility spectrometry (GC/DMS) metabolomics applications

Autor: Daniel J. Peirano, Alberto Pasamontes, Cristina E. Davis

Publikováno v: International journal for ion mobility spectrometry : official publication of the International Society for Ion Mobility Spectrometry, vol 19, iss 2

Modern differential mobility spectrometers (DMS) produce complex and multi-dimensional data streams that allow for near-real-time or post-hoc chemical detection for a variety of applications. An active area of interest for this technology is metaboli

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2f61290c6781187ff697008f7c22a972
https://doi.org/10.1007/s12127-016-0200-9

Volatile organic compound (VOC) profiling of citrus tristeza virus infection in sweet orange citrus varietals using thermal desorption gas chromatography time of flight mass spectrometry (TD-GC/TOF-MS)

Autor: Alberto Pasamontes, Weixiang Zhao, William Cheung, Mimi Doll, Raymond. K. Yokomi, Jason Simmons, Daniel J. Peirano, Abhaya M. Dandekar, Elizabeth E. Grafton-Cardwell, Oliver Fiehn, Therese Kapaun, Cristina E. Davis

Publikováno v: Metabolomics. 11:1514-1525

Citrus tristeza virus (CTV) (genus Closterovirus) is a plant pathogen which infects economically important citrus crops such as sweet oranges, mandarins, limes and grapefruit varietals. Within the last 70 years, an estimated 100 million citrus trees

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::ac22b286de1491430cd8faab7d63fb91
https://doi.org/10.1007/s11306-015-0807-6

Proposal of a Citrus translational genomic approach for early and infield detection of Flavescence dorée in Vitis

Autor: Federico Martinelli, Alberto Pasamontes, Abhaya M. Dandekar, A. Giovino, Cristina E. Davis, Pasquale Marino, Riccardo Scalenghe, Alexander A. Aksenov, Daniel J. Peirano

Flavescence dore´e (FD) is one of the most widely known grapevine yellows disease and one of the most unabated worldwide in the viticulture sector. In this paper, we outline a strategy for developing an integrated system of technologies to enable ra

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::53fea868e4a442a6230eae8233f6cce5
http://hdl.handle.net/10447/99803