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UniversitiesBakari Chaka
Active, last published 2026

In anaerobic digestion and biogas production

Bakari
Chaka

ScholarScholar

Research focused on Anaerobic Digestion and Biogas Production and adjacent fields.

Maasai Mara University
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01 · About the work

What I study

akari Chaka is a researcher working on Anaerobic Digestion and Biogas Production. A fuller summary will appear once they update their profile.

02 · Reach

Publication output and reach

Bakari's work has been cited 142 times across 8 active years. Bars show publications per year; the line shows cumulative citation totals across publications first appearing in each year.

03 · Research focus

Topics

Anaerobic Digestion and Biogas Production×4Advancements in Battery Materials×2Advanced Battery Materials and Technologies×2Microbial Fuel Cells and Bioremediation×2Seed and Plant Biochemistry×2
04 · Where I am

Affiliations

Affiliation on published researchMaasai Mara UniversityDrawn from the institution listed on this researcher’s published work.

Research themes (UN SDGs)

05 · Selected work

Recent publications

25 works
28 May 2025Open access
Background: Automated haematology analysers offer precise haemoglobin measurements, but are expensive and impractical for field, point of care, primary care and remote settings use. The portable and cost-effective Hemocue device provides an alternative. Comparing their accuracies is crucial to prevent diagnostic discrepancies and misdiagnoses. This study aimed to determine the accuracy of Hb HemoCue machine by comparing its performance to automated analyser at Kilimanjaro Christian Medical Centre (KCMC) clinical laboratory where both equipment are used. Methodology: A cross-sectional study was conducted at KCMC Clinical Laboratory among adult patients whose haemoglobin concentrations were measured from May to June 2024. Haemoglobin levels were estimated using two distinct methods: Hb HemoCue machine and automated haematology analyser. Results: Haemoglobin (Hb) concentration values obtained from the HemoCue machine and the automated analyser, had a mean difference of 0.001 g/dL (95% Cl: -0.036 to 0.038), t value of 0.062, and a p-value of .95, indicating a non-statistically significant differences between the two measurement methods. The Bland-Altman plot analysis indicated that the mean difference (bias) between the two methods was 0.0012 g/dL, and the limits of agreement ranged from -0.481 to 0.482 g/dL, suggesting that the HemoCue machine tends to slightly overestimate Hb values compared to the automated haematology analyser. The Pearson correlation coefficient for the Hb concentrations measured using HemoCue and automated analyser was 0.995, indicating a very strong positive correlation. The HemoCue demonstrated a sensitivity of 98.3%, specifity of 90.4%, positive predictive value of 95.9% and a negative predictive value of 95.9%, indicating high performance accuracy of HemoCue in diagnosing anaemia. Conclusion: The study revealed strong agreement between HemoCue and automated haematology analyser for measuring haemoglobin concentrations. Both methods demonstrated high diagnostic accuracy suitable for clinical use. Although HemoCue slightly overestimated haemoglobin, this difference was deemed insignificant. The study endorses HemoCue as a reliable tool for haemoglobin concentration measurement alongside and in lack of automated analysers.Publisher site

East Africa Science, Digital Imaging for Blood Diseases

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