ArticleMalaria journal2011
Evaluating RNAlater® as a preservative for using near-infrared spectroscopy to predict Anopheles gambiae age and species.
Article in Malaria journal, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.
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26 citing papers in PubMed, 1 synthesis or guideline pooled it, 47 citations in OpenAlex.
- The application of spectroscopy techniques for diagnosis of malaria parasites and arboviruses and surveillance of mosquito vectors: A systematic review and critical appraisal of evidence.PLoS neglected tropical diseases · 2021Pooled it
- First report using near-infrared spectroscopy to age-grade Phlebotomus papatasi [Scopoli, 1786] sand flies.Scientific reports · 2025Article
- Age structure of cohorts of mosquitoes from the field using shortwave infrared spectroscopy before and after ULV adulticide treatment.Parasites & vectors · 2025Article
- Determining mosquito age using surface-enhanced Raman spectroscopy and artificial neural networks: insights into the influence of origin and sex.Parasites & vectors · 2025Article
- Age, sex, and mating status discrimination in the sand fly Lutzomyia longipalpis using near infra-red spectroscopy (NIRS).Parasites & vectors · 2024Article
- Evaluation of diffuse reflectance spectroscopy for predicting age, species, and cuticular resistance of Anopheles gambiae s.l under laboratory conditions.Scientific reports · 2023Article
- Rapid and Non-Invasive Detection ofViruses · 2022Article
- First Report of the Detection of DENV1 in Human Blood Plasma with Near-Infrared Spectroscopy.Viruses · 2022Article
- Adapting field-mosquito collection techniques in a perspective of near-infrared spectroscopy implementation.Parasites & vectors · 2022Article
- Rapid Evaporative Ionization Mass Spectrometry (REIMS): a Potential and Rapid Tool for the Identification of Insecticide Resistance in Mosquito Larvae.Journal of insect science (Online) · 2022Article
- Effects of sample preservation methods and duration of storage on the performance of mid-infrared spectroscopy for predicting the age of malaria vectors.Parasites & vectors · 2022Article
- Autofluorescent Biomolecules in Diptera: From Structure to Metabolism and Behavior.Molecules (Basel, Switzerland) · 2022Review
- Detection of Plasmodium falciparum in laboratory-reared and naturally infected wild mosquitoes using near-infrared spectroscopy.Scientific reports · 2021Article
- High throughput estimates of Wolbachia, Zika and chikungunya infection in Aedes aegypti by near-infrared spectroscopy to improve arbovirus surveillance.Communications biology · 2021Article
- Ability of near-infrared spectroscopy and chemometrics to predict the age of mosquitoes reared under different conditions.Parasites & vectors · 2020Article
- Age grading An. gambiae and An. arabiensis using near infrared spectra and artificial neural networks.PloS one · 2019Article
- Monitoring the Age of Mosquito Populations Using Near-Infrared Spectroscopy.Scientific reports · 2018Article
- Analysis of near infrared spectra for age-grading of wild populations of Anopheles gambiae.Parasites & vectors · 2017Article
- malERA: An updated research agenda for characterising the reservoir and measuring transmission in malaria elimination and eradication.PLoS medicine · 2017Review
- Near-Infrared Spectroscopy, a Rapid Method for Predicting the Age of Male and Female Wild-Type and Wolbachia Infected Aedes aegypti.PLoS neglected tropical diseases · 2016Article
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9 authors at 7 institutions in 4 countries.
Funding
Abstract
backgroundMosquito age and species identification is a crucial determinant of the efficacy of vector control programmes. Near-infrared spectroscopy (NIRS) has previously been applied successfully to rapidly, non-destructively, and simultaneously determine the age and species of freshly anesthetized African malaria vectors from the Anopheles gambiae s.l. species complex: An. gambiae s. s. and Anopheles arabiensis. However, this has only been achieved on freshly-collected specimens and future applications will require samples to be preserved between field collections and scanning by NIRS. In this study, a sample preservation method (RNAlater(®)) was evaluated for mosquito age and species identification by NIRS against scans of fresh samples.
methodsTwo strains of An. gambiae s.s. (CDC and G3) and two strains of An. arabiensis (Dongola, KGB) were reared in the laboratory while the third strain of An. arabiensis (Ifakara) was reared in a semi-field system. All mosquitoes were scanned when fresh and rescanned after preservation in RNAlater(®) for several weeks. Age and species identification was determined using a cross-validation.
resultsThe mean accuracy obtained for predicting the age of young (<7 days) or old (≥ 7 days) of all fresh (n = 633) and all preserved (n = 691) mosquito samples using the cross-validation technique was 83% and 90%, respectively. For species identification, accuracies were 82% for fresh against 80% for RNAlater(®) preserved. For both analyses, preserving mosquitoes in RNAlater(®) was associated with a highly significant reduction in the likelihood of a misclassification of mosquitoes as young or old using NIRS. Important to note is that the costs for preserving mosquito specimens with RNAlater(®) ranges from 3-13 cents per insect depending on the size of the tube used and the number of specimens pooled in one tube.
conclusionRNAlater(®) can be used to preserve mosquitoes for subsequent scanning and analysis by NIRS to determine their age and species with minimal costs and with accuracy similar to that achieved from fresh insects. Cold storage availability allows samples to be stored longer than a week after field collection. Further study to develop robust calibrations applicable to other strains from diverse ecological settings is recommended.
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