Authors:
Donald Bimpong Department of Food Science and Technology, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana

Search for other papers by Donald Bimpong in
Current site
Google Scholar
PubMed
Close
https://orcid.org/0009-0003-6136-6364
,
Lois Amponsah Adofowaa Department of Food Science and Technology, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana

Search for other papers by Lois Amponsah Adofowaa in
Current site
Google Scholar
PubMed
Close
https://orcid.org/0009-0000-9510-4774
,
Ama Agyeman Department of Food Science and Technology, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana

Search for other papers by Ama Agyeman in
Current site
Google Scholar
PubMed
Close
,
Abena Boakye Department of Food Science and Technology, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana

Search for other papers by Abena Boakye in
Current site
Google Scholar
PubMed
Close
,
Ibok Nsa Oduro Department of Food Science and Technology, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana

Search for other papers by Ibok Nsa Oduro in
Current site
Google Scholar
PubMed
Close
,
Ellis William Otoo Department of Food Science and Technology, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana

Search for other papers by Ellis William Otoo in
Current site
Google Scholar
PubMed
Close
, and
John-Lewis Zinia Zaukuu Department of Food Science and Technology, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana

Search for other papers by John-Lewis Zinia Zaukuu in
Current site
Google Scholar
PubMed
Close
https://orcid.org/0000-0002-2058-4416
Restricted access

Abstract

Peanut butter and yoghurt are targeted for adulteration intended at consumer deception. This study aimed to fingerprint and detect peanut butter and yoghurt adulteration with cassava flour and starch using Near Infrared Spectroscopy (NIRS) in a quasi-experimental approach. Ingredients for laboratory sample preparation were obtained from the Kumasi Metropolis. Peanut butter was adulterated at 1, 3, 5, 10, 15, 20% w/w and yoghurt at 0.25, 0.5, 1, 3, 5, 10, 15, 20, 25, 45, 50% w/w. Selected concentrations mimicked practices on the market. Marketed products were randomly sampled from six markets in the Kumasi Metropolis to validate the study models. Samples were scanned with a hand-held NIRS in triplicates. Chemometric (Principal Component Analysis (PCA), Linear Discriminant Analysis (LDA) and Partial Least Square Regression (PLSR) models) statistical methods were employed to develop classification and prediction models. Peaks with spectral bands such as 1050 , 1200 and 1450 nm were observed for peanut butter and 990–1100 nm, 1100–1200 nm and 1300–1408 nm were observed for yoghurt in the NIR spectrum. Some yoghurt brands were suspected of containing cassava starch, while Peanut butter from the different markets differed based on classification models. Cassava flour and starch concentrations were quantitatively predicted by PLSR with an R2CV of 0.98 and an error of 0.9 g/100 g (low error).

  • Adeboye, A.S., Fayemi, O.E., Bamgbose, A., Adewunmi, A., and Sobowale, S.S. (2018). Towards the development of peanut-wheat flour composite dough: influence of reduced-fat peanut flour on bread quality. Journal of Food Processing and Preservation, 42(1): e13385. http://dx.doi.org/10.1111/jfpp.13385.

    • Search Google Scholar
    • Export Citation
  • Agbenorhevi, J.K., Osae, A.K., and Wireko-Manu, F.D. (2017). Packaging and shelf life of maize-peanut balls (Dakua). MOJ Food Processing & Technology, 4(6). http://doi.org/10.15406/mojfpt.2017.04.00108.

    • Search Google Scholar
    • Export Citation
  • Alamprese, C., Casale, M., Sinelli, N., Lanteri, S., and Casiraghi, E. (2013). Detection of minced beef with Turkey meat by UV-vis, NIR and MIR spectroscopy. LWT-Food Science and Technology, 53(1): 225232.

    • Search Google Scholar
    • Export Citation
  • Aouadi, B., Laryea, D., Bósquez, J.P.A., Majadi, M., Kertész, I., Bodor, Z., Zaukuu, J.L.Z., and Kovacs, Z. (2023). Aquaphotomics based screening of tomato powder extracts reveals susceptibility to bulking and coloring agents. Food Control: 110163.

    • Search Google Scholar
    • Export Citation
  • Dos Santos Augusto, A., Barsanelli, P.L., Pereira, F.M.V., and Pereira-Filho, E.R. (2017). Calibration strategies for the direct determination of Ca, K, and Mg in commercial samples of powdered milk and solid dietary supplements using laser-induced breakdown spectroscopy (LIBS). Food Research International, 94: 7278.

    • Search Google Scholar
    • Export Citation
  • Essuman, E.K., Teye, E., Dadzie, R.G., and Sam-Amoah, L.K. (2022). Research article consumers’ knowledge of food adulteration and commonly used methods of detection.

    • Search Google Scholar
    • Export Citation
  • Gallagher, N.B. (2020). Savitzky-Golay smoothing and differentiation filter. Eigenvector Research Incorporated.

  • Jolly, C.M., Awuah, R.T., Fialor, S.C., Agyemang, K.O., Kagochi, J.M., and Binns, A.D. (2008). Groundnut consumption frequency in Ghana. International Journal of Consumer Studies, 32(6): 675686.

    • Search Google Scholar
    • Export Citation
  • Kar, S., Tudu, B., Jana, A., and Bandyopadhyay, R. (2019). FT-NIR spectroscopy coupled with multivariate analysis for detection of starch adulteration in turmeric powder. Food Additives & Contaminants: Part A, 36(6): 863875.

    • Search Google Scholar
    • Export Citation
  • MacArthur, R.L., Teye, E., and Darkwa, S. (2020). Predicting adulteration of palm oil with Sudan IV dye using shortwave handheld spectroscopy and comparative analysis of models. Vibrational Spectroscopy, 110: 103129. http://dx.doi.org/10.1016/j.vibspec.2020.103129.

    • Search Google Scholar
    • Export Citation
  • Mattes, R.D., Kris-Etherton, P.M., and Foster, G.D. (2008). Impact of peanuts and tree nuts on body weight and healthy weight loss in adults. The Journal of nutrition, 138(9): 1741S1745.

    • Search Google Scholar
    • Export Citation
  • Meng, T., Florkowski, W.J., Klepacka, A.M., Sarpong, D.B., Resurreccion, A.V., Chinnan, M.S., and Ekielski, A. (2017). Preferences for groundnut products among urban residents in Ghana. Journal of the Science of Food and Agriculture, 98(2): 817824.

    • Search Google Scholar
    • Export Citation
  • Oti, J.A. (2021). Awareness and use of food adulterants among food vendors and market women in the northern part of Ghana. 13(2): 7994.

    • Search Google Scholar
    • Export Citation
  • Paixao Teixeira, J.L., dos Santos Carames, E.T., Baptista, D.P., Gigante, M.L., and Pallone, J.A.L. (2021). Rapid adulteration detection of yogurt and cheese made from goat milk by vibrational spectroscopy and chemometric tools. Journal of Food Composition and Analysis, 96: 103712.

    • Search Google Scholar
    • Export Citation
  • Qu, J.H., Liu, D., Cheng, J.H., Sun, D.W., Ma, J., Pu, H., and Zeng, X.A. (2015). Applications of near-infrared spectroscopy in food safety evaluation and control: a review of recent research advances. Critical Reviews in Food Science and Nutrition, 55(13): 19391954.

    • Search Google Scholar
    • Export Citation
  • Raypah, M.E., Zhi, L.J., Loon, L.Z., and Omar, A.F. (2022). Near-infrared spectroscopy with chemometrics identification and quantification of adulteration in high stingless bee honey. Chemometrics and Intelligent Laboratory Systems, 224: 104540.

    • Search Google Scholar
    • Export Citation
  • Ribeiro, M.C.E., Chaves, K.S., Gebara, C., Infante, F.N., Grosso, C.R., and Gigante, M.L. (2014). Effect of microencapsulation of lactobacillus acidophilus LA-5 on physicochemical, sensory and microbiological characteristics of stirred probiotic yoghurt. Food Research International, 66: 424431. http://doi.org/10.1016/j.foodres.2014.10.019.

    • Search Google Scholar
    • Export Citation
  • Schmitt, C., Bastek, T., Stelzer, A., Schneider, T., Fischer, M., and Hackl, T. (2020). Detection of peanut adulteration in food samples by nuclear magnetic resonance spectroscopy. Journal of Agricultural and Food Chemistry, 68(49): 1436414373.

    • Search Google Scholar
    • Export Citation
  • Schwartz, G.J., Fu, J., Astarita, G., Li, X., Gaetani, S., Campolongo, P., Cuomo, V., and Piomelli, D. (2008). The lipid messenger OEA links dietary fat intake to satiety. Cell metabolism, 8(4): 281288.

    • Search Google Scholar
    • Export Citation
  • Song, C., Fan, W.H., Ding, L., Chen, X., Chen, Z.Y., and Wang, K. (2018). Terahertz and infrared characteristic absorption spectra of aqueous glucose and fructose solutions. Scientific Reports, 8(1): 18.

    • Search Google Scholar
    • Export Citation
  • Su, W.H., and Sun, D.W. (2017). Evaluation of spectral imaging for inspection of adulterants in terms of common wheat flour, cassava flour and corn flour in organic avatar wheat (Triticum spp.) flour. Journal of Food Engineering, 200: 5969.

    • Search Google Scholar
    • Export Citation
  • Wu, D. and Sun, D.W. (2013). Application of visible and near infrared hyperspectral imaging for non-invasively measuring distribution of water-holding capacity in salmon flesh. Talanta, 116: 266276.

    • Search Google Scholar
    • Export Citation
  • Zaukuu, J.L.Z., Bodor, Z., Vitalis, F., Zsom-Muha, V., and Kovacs, Z. (2019). Near infrared spectroscopy as a rapid method for detecting paprika powder adulteration with corn flour. Acta Periodica Technologica, (50): 346352.

    • Search Google Scholar
    • Export Citation
  • Zaukuu, J.L.Z., Zimmermann, E., Acquah, B.B., and Kwofie, E.D. (2023). Novel detection techniques for shrimp powder adulteration using near infrared spectroscopy in Tandem chemometric tools and multiple spectral preprocessing. Food Analytical Methods, 16(4): 819831.

    • Search Google Scholar
    • Export Citation
  • Zinia Zaukuu, J.L., Aouadi, B., Lukács, M., Bodor, Z., Vitális, F., Gillay, B., Gillay, Z., Friedrich, L., and Kovacs, Z. (2020). Detecting low concentrations of nitrogen-based adulterants in whey protein powder using benchtop and handheld NIR spectrometers and the feasibility of scanning through plastic bag. Molecules, 25(11): 2522.

    • Search Google Scholar
    • Export Citation
  • Collapse
  • Expand

 

 

The author instruction is available in PDF.
Please, download the file from HERE.

 

 

Senior editors

Editor(s)-in-Chief: Felföldi, József

Chair of the Editorial Board Szendrő, Péter

Editorial Board

  • Beke, János (Szent István University, Faculty of Mechanical Engineerin, Gödöllő – Hungary)
  • Fenyvesi, László (Szent István University, Faculty of Mechanical Engineering, Gödöllő – Hungary)
  • Szendrő, Péter (Szent István University, Faculty of Mechanical Engineering, Gödöllő – Hungary)
  • Felföldi, József (Szent István University, Faculty of Food Science, Budapest – Hungary)

 

Advisory Board

  • De Baerdemaeker, Josse (KU Leuven, Faculty of Bioscience Engineering, Leuven - Belgium)
  • Funk, David B. (United States Department of Agriculture | USDA • Grain Inspection, Packers and Stockyards Administration (GIPSA), Kansas City – USA
  • Geyer, Martin (Leibniz Institute for Agricultural Engineering and Bioeconomy (ATB), Department of Horticultural Engineering, Potsdam - Germany)
  • Janik, József (Szent István University, Faculty of Mechanical Engineering, Gödöllő – Hungary)
  • Kutzbach, Heinz D. (Institut für Agrartechnik, Fg. Grundlagen der Agrartechnik, Universität Hohenheim – Germany)
  • Mizrach, Amos (Institute of Agricultural Engineering. ARO, the Volcani Center, Bet Dagan – Israel)
  • Neményi, Miklós (Széchenyi University, Department of Biosystems and Food Engineering, Győr – Hungary)
  • Schulze-Lammers, Peter (University of Bonn, Institute of Agricultural Engineering (ILT), Bonn – Germany)
  • Sitkei, György (University of Sopron, Institute of Wood Engineering, Sopron – Hungary)
  • Sun, Da-Wen (University College Dublin, School of Biosystems and Food Engineering, Agriculture and Food Science, Dublin – Ireland)
  • Tóth, László (Szent István University, Faculty of Mechanical Engineering, Gödöllő – Hungary)

Prof. Felföldi, József
Institute: MATE - Hungarian University of Agriculture and Life Sciences, Institute of Food Science and Technology, Department of Measurements and Process Control
Address: 1118 Budapest Somlói út 14-16
E-mail: felfoldi.jozsef@uni-mate.hu

Indexing and Abstracting Services:

  • CABI
  • ERIH PLUS
  • SCOPUS

2022  
Web of Science  
Total Cites
WoS
not indexed
Journal Impact Factor not indexed
Rank by Impact Factor

not indexed

Impact Factor
without
Journal Self Cites
not indexed
5 Year
Impact Factor
not indexed
Journal Citation Indicator not indexed
Rank by Journal Citation Indicator

not indexed

Scimago  
Scimago
H-index
9
Scimago
Journal Rank
0.191
Scimago Quartile Score

Environmental Engineering (Q4)
Industrial Manufacturing Engineering (Q3)
Mechanical Engineering (Q3)

Scopus  
Scopus
Cite Score
1.1
Scopus
CIte Score Rank
General Agricultural and Biological Sciences 141/213 (34th PCTL)
Agricultural and Biological Sciences 104/147 (29th PCTL)
Industrial and Manufacturing Engineering 261/355 (26th PCTL)
Mechanical Engineering 494/631 (21st PCTL)
Environmental Engineering 145/184 (21st PCTL)
 
Scopus
SNIP
0.222

2021  
Web of Science  
Total Cites
WoS
not indexed
Journal Impact Factor not indexed
Rank by Impact Factor

not indexed

Impact Factor
without
Journal Self Cites
not indexed
5 Year
Impact Factor
not indexed
Journal Citation Indicator not indexed
Rank by Journal Citation Indicator

not indexed

Scimago  
Scimago
H-index
8
Scimago
Journal Rank
0,141
Scimago Quartile Score Environmental Engineering (Q4)
Industrial and Manufacturing Engineering (Q4)
Mechanical Engineering (Q4)
Scopus  
Scopus
Cite Score
0,8
Scopus
CIte Score Rank
Industrial and Manufacturing Engineering 261/338 (Q4)
Environmental Engineering 138/173 (Q4)
Mechanical Engineering 495/601 (Q4)
Scopus
SNIP
0,381

2020  
Scimago
H-index
8
Scimago
Journal Rank
0,197
Scimago
Quartile Score
Environmental Engineering Q4
Industrial and Manufacturing Engineering Q3
Mechanical Engineering Q4
Scopus
Cite Score
33/69=0,5
Scopus
Cite Score Rank
Environmental Engineering 126/146 (Q4)
Industrial and Manufacturing Engineering 269/336 (Q3)
Mechanical Engineering 512/596 (Q4)
Scopus
SNIP
0,211
Scopus
Cites
53
Scopus
Documents
41
Days from submission to acceptance 122
Days from acceptance to publication 40
Acceptance rate 86%

 

2019  
Scimago
H-index
6
Scimago
Journal Rank
0,123
Scimago
Quartile Score
Environmental Engineering Q4
Industrial and Manufacturing Engineering Q4
Mechanical Engineering Q4
Scopus
Cite Score
18/33=0,5
Scopus
Cite Score Rank
Environmental Engineering 108/132 (Q4)
Industrial and Manufacturing Engineering 242/340 (Q3)
Mechanical Engineering 481/585 (Q4)
Scopus
SNIP
0,211
Scopus
Cites
13
Scopus
Documents
5

 

Progress in Agricultural Engineering Sciences
Publication Model Hybrid
Submission Fee none
Printed Color Illustrations 40 EUR (or 10 000 HUF) + VAT / piece
Article Processing Charge 900 EUR/article
Regional discounts on country of the funding agency World Bank Lower-middle-income economies: 50%
World Bank Low-income economies: 100%
Further Discounts Editorial Board / Advisory Board members: 50%
Corresponding authors, affiliated to an EISZ member institution subscribing to the journal package of Akadémiai Kiadó: 100%
Subscription fee 2023 Online subsscription: 152 EUR / 185 USD
Print + online subscription: 177 EUR / 215 USD
Subscription Information Online subscribers are entitled access to all back issues published by Akadémiai Kiadó for each title for the duration of the subscription, as well as Online First content for the subscribed content.
Purchase per Title Individual articles can be purchased at the prices indicated.

Progress in Agricultural Engineering Sciences
Language English
Size B5
Year of
Foundation
2004
Volumes
per Year
1
Issues
per Year
1
Founder Magyar Tudományos Akadémia  
Founder's
Address
H-1051 Budapest, Hungary, Széchenyi István tér 9.
Publisher Akadémiai Kiadó
Publisher's
Address
H-1117 Budapest, Hungary 1516 Budapest, PO Box 245.
Responsible
Publisher
Chief Executive Officer, Akadémiai Kiadó
ISSN 1786-335X (Print)
ISSN 1787-0321 (Online)

Monthly Content Usage

Abstract Views Full Text Views PDF Downloads
Sep 2023 0 0 0
Oct 2023 0 0 0
Nov 2023 0 0 0
Dec 2023 3990 10 13
Jan 2024 812 5 7
Feb 2024 1123 2 3
Mar 2024 0 0 0