Laser-induced breakdown spectroscopy (LIBS) as a novel technique for detecting bacterial infection in insects

Autor:	Luis Vidal Ponce Cabrera, Alejandro Ponce Flores, Ed Etxeberria, Pedro Gonzalez Blanco, Teresa Flores Reyes, Nabil Killiny
Jazyk:	angličtina
Rok vydání:	2019
Předmět:	0301 basic medicine Novel technique Citrus Diaphorina citri Early detection lcsh:Medicine Biology Sensitivity and Specificity Article Microbiology Hemiptera 03 medical and health sciences 0302 clinical medicine Rhizobiaceae Animals Laser-induced breakdown spectroscopy lcsh:Science Plant Diseases Multidisciplinary Candidatus Liberibacter asiaticus Lasers Spectrum Analysis lcsh:R food and beverages Bacterial Infections biology.organism_classification Insect Vectors Early Diagnosis 030104 developmental biology lcsh:Q 030217 neurology & neurosurgery
Zdroj:	Scientific Reports, Vol 9, Iss 1, Pp 1-7 (2019) Scientific Reports
ISSN:	2045-2322
Popis:	To prevent the spread of diseases in humans, animals or plants, determining whether potential vectors are infected is crucial. For example, early detection of the citrus disease Huanglongbing, which has been a scourge on the citrus industries around the world, is a critical need. This vector-borne disease is transmitted by Diaphorina citri, the Asian citrus psyllid, which carries the putative bacterial phytopathogen, Candidatus Liberibacter asiaticus (CLas). In this investigation, we introduced Laser-Induced Breakdown Spectroscopy (LIBS) to reveal key biochemical differences between CLas-infected and non-infected psyllids. The emission spectra captured from laser ablation of CLas-infected and healthy psyllids were processed through the principal component analysis (PCA) method and compared. Thirteen peaks from seven different elements were detected in D. citri. The t-test showed that CLas-infected D. citri were deficients in zinc, iron, copper, magnesium, calcium, and nitrogen. The PCA showed that LIBS can successfully differentiate between CLas-infected and healthy D. citri by comparing their elemental profile. In this work, we demonstrated a method that allows for a fast and precise compositional microanalysis of an insect vector which can contribute to the early detection of citrus huanglongbing
Databáze:	OpenAIRE
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