TY - JOUR
T1 - Non-destructive determination of age and species of Anopheles gambiae s.l. using near-infrared spectroscopy
AU - Mayagaya, Valeliana S.
AU - Michel, Kristin
AU - Benedict, Mark Q.
AU - Killeen, Gerry F.
AU - Wirtz, Robert A.
AU - Ferguson, Heather M.
AU - Dowell, Floyd E.
PY - 2009/10
Y1 - 2009/10
N2 - Determining malaria vector species and age is crucial to measure malaria risk. Although different in ecology and susceptibility to control, the African malaria vectors Anopheles gambiae sensu stricto and An. arabiensis are morphologically similar and can be differentiated only by molecular techniques. Furthermore, few reliable methods exist to estimate the age of these vectors, which is a key predictor of malaria transmission intensity. We evaluated the use of near-infrared spectroscopy (NIRS) to determine vector species and age. This non-destructive technique predicted the species of field-collected mosquitoes with approximately 80% accuracy and predicted the species of laboratory-reared insects with almost 100% accuracy. The relative age of young or old females was predicted with approximately 80% accuracy, and young and old insects were predicted with ≥ 90% accuracy. For applications where rapid assessment of the age structure and species composition of wild vector populations is needed, NIRS offers a valuable alternative to traditional methods.
AB - Determining malaria vector species and age is crucial to measure malaria risk. Although different in ecology and susceptibility to control, the African malaria vectors Anopheles gambiae sensu stricto and An. arabiensis are morphologically similar and can be differentiated only by molecular techniques. Furthermore, few reliable methods exist to estimate the age of these vectors, which is a key predictor of malaria transmission intensity. We evaluated the use of near-infrared spectroscopy (NIRS) to determine vector species and age. This non-destructive technique predicted the species of field-collected mosquitoes with approximately 80% accuracy and predicted the species of laboratory-reared insects with almost 100% accuracy. The relative age of young or old females was predicted with approximately 80% accuracy, and young and old insects were predicted with ≥ 90% accuracy. For applications where rapid assessment of the age structure and species composition of wild vector populations is needed, NIRS offers a valuable alternative to traditional methods.
UR - https://www.scopus.com/pages/publications/70349728644
U2 - 10.4269/ajtmh.2009.09-0192
DO - 10.4269/ajtmh.2009.09-0192
M3 - Article
C2 - 19815877
AN - SCOPUS:70349728644
SN - 0002-9637
VL - 81
SP - 622
EP - 630
JO - American Journal of Tropical Medicine and Hygiene
JF - American Journal of Tropical Medicine and Hygiene
IS - 4
ER -