In French Guiana, the malaria, a parasitic infection transmitted by
Anopheline
mosquitoes, remains a disease of public health importance. To prevent malaria transmission, the main effective way remains
Anopheles
control. For an effective control, accurate
Anopheles
species identification is indispensable to distinguish malaria vectors from non-vectors. Although, morphological and molecular methods are largely used, an innovative tool, based on protein pattern comparisons, the Matrix Assisted Laser Desorption / Ionization Time-of-Flight Mass Spectrometry (MALDI-TOF MS) profiling, emerged this last decade for arthropod identification. However, the limited mosquito fauna diversity of reference MS spectra remains one of the main drawback for its large usage. The aim of the present study was then to create and to share reference MS spectra for the identification of French Guiana
Anopheline
species. A total of eight distinct
Anopheles
species, among which four are malaria vectors, were collected in 6 areas. To improve
Anopheles
identification, two body parts, legs and thoraxes, were independently submitted to MS for the creation of respective reference MS spectra database (DB). This study underlined that double checking by MS enhanced the
Anopheles
identification confidence and rate of reliable classification. The sharing of this reference MS spectra DB should make easier
Anopheles
species monitoring in endemic malaria area to help malaria vector control or elimination programs.