John Ndisya

Mr. John Ndisya


Research Focus & Metrics

Academic Career Length

6Years (2021-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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11 October 2021 in Processes
Verified
Journal Article
Open access
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JNJohn Ndisya
John Ndisya
AGAyub Gitau
Ayub Gitau
DMDuncan Mbuge
Duncan Mbuge
AAArman Arefi
Arman Arefi
LBLiliana Badulescu
Liliana Badulescu
BSBarbara Sturm
Barbara Sturm
In this study, hyperspectral imaging (HSI) and chemometrics were implemented to develop prediction models for moisture, colour, chemical and structural attributes of purple-speckled cocoyam slices subjected to hot-air drying. Since HSI systems are costly and computationally demanding, the selection of a narrow band of wavelengths can enable the utilisation of simpler multispectral systems. In this study, 19 optimal wavelengths in the spectral range 400–1700 nm were selected using PLS-BETA and PLS-VIP feature selection methods. Prediction models for the studied quality attributes were developed from the 19 wavelengths. Excellent prediction performance (RMSEP < 2.0, r2P > 0.90, RPDP > 3.5) was obtained for MC, RR, VS and aw. Good prediction performance (RMSEP < 8.0, r2P = 0.70–0.90, RPDP > 2.0) was obtained for PC, BI, CIELAB b*, chroma, TFC, TAA and hue angle. Additionally, PPA and WI were also predicted successfully. An assessment of the agreement between predictions from the non-invasive hyperspectral imaging technique and experimental results from the routine laboratory methods established the potential of the HSI technique to replace or be used interchangeably with laboratory measurements. Additionally, a comparison of full-spectrum model results and the reduced models demonstrated the potential replacement of HSI with simpler imaging systems.

15 December 2022 in Heliyon
Verified
Journal Article
Open access
JNJohn Ndisya
John Ndisya
AGAyub Gitau
Ayub Gitau
FRFranz Román
Franz Román
DMDuncan Mbuge
Duncan Mbuge
BSBarbara Sturm
Barbara Sturm
OHOliver Hensel
Oliver Hensel
In this study, a prediction model based on transient heat transfer was modified and validated using experimental data. The time required to cool tubers from field temperature of 30 ± 2 °C to the target storage temperature of 12 ± 0.2 °C was predicted directly from the model. Moreover, total cooling time ranged from 127.8 – 154.2 min for small tubers and 190.8–262.2 min for large tubers while the field heat removed ranged from 9.61 – 10.17 kJ for small tubers and 24.78–31.90 kJ for large tubers between the extremes of the air velocity. Tuber orientation to airflow neither influenced the heat transfer coefficients and Biot numbers nor the cooling time and amount of field heat removed. The results from this study could be applied in the design and optimisation of forced convection cooling systems to precool tubers immediately after harvest and for extended duration storage.