Development of NIRS models for rapid quantification of protein content in sweetpotato [Ipomoea batatas (L.) LAM.]

Abstract Near-infrared spectroscopy (NIRS) is an alternative analytical method that can be used to quantify protein content in sweetpotato. It is relatively cheaper and efficient than other methods. This study was conducted to develop NIRS-based models for quantifying protein content of sweetpotato for selection or wide-area production of recommended varieties. A pool of 104 sweetpotato varieties were sampled and roots scanned using NIR spectrometer. Calibration models were developed by subjecting spectral and reference datasets to partial least squares regression. Several pre-processing methods were investigated. Models that yielded the highest coefficient of determination (R 2 ), residual predictive deviation (RPD) and lowest root mean square error of calibration (RMSEC) and prediction (RMSEP) were selected. Optimal model performances were obtained using second derivative pre-processing, showing the highest values of R 2 v , RMSEP and RPD v of 0.98, 0.29, and 4.0, respectively. The regression analysis indicated that informative NIR bands for quantifying protein content of sweetpotatoes ranged between 1600 and 2200 nm. The results demonstrated that NIRS is capable of predicting protein content on sweetpotatoes, rapidly and accurately. Therefore, the NIRS model developed in this study may help to quantify protein composition of sweetpotato for rapid screening of germplasm in breeding programs with high throughput and accuracy.

[1]  A. Bovell-Benjamin,et al.  Sweet potato: a review of its past, present, and future role in human nutrition. , 2007, Advances in food and nutrition research.

[2]  Da-Peng Zhang,et al.  Application of near-infrared spectroscopy to predict sweetpotato starch thermal properties and noodle quality , 2006, Journal of Zhejiang University SCIENCE B.

[3]  L. Rodriguez-Saona,et al.  Application of NIR and MIR spectroscopy in quality control of potato chips. , 2009 .

[4]  Serge Kokot,et al.  NIR spectroscopy and chemometrics for the discrimination of pure, powdered, purple sweet potatoes and their samples adulterated with the white sweet potato flour , 2015 .

[5]  Lembe S. Magwaza,et al.  Assessment of rind quality of ‘Nules Clementine’ mandarin during postharvest storage: 1. Vis/NIRS PCA models and relationship with canopy position , 2014 .

[6]  K. Walsh,et al.  Short-Wavelength Near-Infrared Spectra of Sucrose, Glucose, and Fructose with Respect to Sugar Concentration and Temperature , 2003, Applied spectroscopy.

[7]  C. Camps,et al.  Non-destructive assessment of apricot fruit quality by portable visible-near infrared spectroscopy , 2009 .

[8]  B. Nicolai,et al.  Postharvest quality of apple predicted by NIR-spectroscopy: Study of the effect of biological variability on spectra and model performance , 2010 .

[9]  D. Mcintyre,et al.  International Journal for Equity in Health Open Access Inequities in Under-five Child Malnutrition in South Africa Inequityunder-five Child Malnutritionsocio-economic Statusconcentration Indexsouth Africa , 2022 .

[10]  A. Buragohain,et al.  Comparative analysis of phytochemicals and nutrient availability in two contrasting cultivars of sweet potato (Ipomoea batatas L.). , 2015, Food chemistry.

[11]  R. S. Rutherford,et al.  NEAR-INFRARED REFLECTANCE (NIR) SPECTROSCOPY AS A HIGH-THROUGHPUT SCREENING TOOL FOR PEST AND DISEASE RESISTANCE IN A SUGARCANE BREEDING PROGRAMME , 2014 .

[12]  Gamal ElMasry,et al.  Chemical-free assessment and mapping of major constituents in beef using hyperspectral imaging , 2013 .

[13]  Martine Dorais,et al.  Nondestructive measurement of fresh tomato lycopene content and other physicochemical characteristics using visible-NIR spectroscopy. , 2008, Journal of agricultural and food chemistry.

[14]  Antoine Champagne,et al.  NIR determination of major constituents in tropical root and tuber crop flours. , 2009, Journal of agricultural and food chemistry.

[15]  W. Grüneberg,et al.  Screening for β-carotene, iron, zinc, starch, individual sugars andprotein in sweetpotato germplasm by Near-Infrared ReflectanceSpectroscopy (NIRS) , 2009 .

[16]  Wouter Saeys,et al.  Application of visible and near-infrared reflectance spectroscopy (Vis/NIRS) to determine carotenoid contents in banana (Musa spp.) fruit pulp. , 2009, Journal of agricultural and food chemistry.

[17]  J. Guthrie,et al.  Assessment of internal quality attributes of mandarin fruit. 2. NIR calibration model robustness , 2005 .

[18]  R. Nelson,et al.  High-resolution nuclear magnetic resonance and near-infrared determination of soybean oil, protein, and amino acid residues in soybean seeds. , 2004 .

[19]  A. Peirs,et al.  Light penetration properties of NIR radiation in fruit with respect to non-destructive quality assessment , 2000 .

[20]  V. Lebot,et al.  Phenotypic characterization of sweet potato [Ipomoea batatas (L.) Lam.] genotypes in relation to prediction of chemical quality constituents by NIRS equations , 2011 .

[21]  Da-Peng Zhang,et al.  Prediction of sweetpotato starch physiochemical quality and pasting properties using near-infrared reflectance spectroscopy , 2006 .

[22]  W. Pfeiffer,et al.  Biofortification: A New Tool to Reduce Micronutrient Malnutrition , 2011, Food and nutrition bulletin.

[23]  M. Blössner,et al.  The World Health Organization Global Database on Child Growth and Malnutrition: methodology and applications. , 2003, International journal of epidemiology.

[24]  T. Bagchi,et al.  Development of NIRS models to predict protein and amylose content of brown rice and proximate compositions of rice bran. , 2016, Food chemistry.

[25]  Lembe S. Magwaza,et al.  The use of Vis/NIRS and chemometric analysis to predict fruit defects and postharvest behaviour of 'Nules Clementine' mandarin fruit. , 2014, Food chemistry.

[26]  D. Cozzolino Foodomics and infrared spectroscopy: from compounds to functionality , 2015 .

[27]  Seiji Tamiya,et al.  Prediction of starch, moisture, and sugar in sweetpotato by near infrared transmittance , 1996 .

[28]  Aiguo Ouyang,et al.  Nondestructive measurement of soluble solid content of navel orange fruit by visible-NIR spectrometric technique with PLSR and PCA-BPNN. , 2010 .

[29]  V. Mcglone,et al.  Vis/NIR estimation at harvest of pre- and post-storage quality indices for 'Royal Gala' apple , 2002 .

[30]  P. Rubaihayo,et al.  Genetic Diversity in White- and Orange-Fleshed Sweetpotato Farmer Varieties from East Africa Evaluated by Simple Sequence Repeat Markers , 2011 .

[31]  M. Mehrubeoglu,et al.  Determination of total reducing sugars in potato samples using near-infrared spectroscopy , 1997 .

[32]  J. Shenk,et al.  Application of NIR Spectroscopy to Agricultural Products , 1992 .

[33]  P. Rubaihayo,et al.  Evaluation of Dry Matter, Protein, Starch, Sucrose, β-carotene, Iron, Zinc, Calcium, and Magnesium in East African Sweetpotato [Ipomoea batatas (L.) Lam] Germplasm , 2011 .

[34]  M. W. Veal,et al.  Development of NIRS models to predict composition of enzymatically processed sweetpotato , 2014 .

[35]  Wouter Saeys,et al.  Potential for Onsite and Online Analysis of Pig Manure using Visible and Near Infrared Reflectance Spectroscopy , 2005 .

[36]  E. Boy,et al.  Biofortification: Progress toward a more nourishing future , 2013 .

[37]  J. Fontaine,et al.  Near-infrared reflectance spectroscopy enables the fast and accurate prediction of the essential amino acid contents in soy, rapeseed meal, sunflower meal, peas, fishmeal, meat meal products, and poultry meal. , 2001, Journal of agricultural and food chemistry.

[38]  W. Horwitz Official Methods of Analysis , 1980 .

[39]  N. Haase Rapid estimation of potato tuber quality by near-infrared spectroscopy , 2006 .

[40]  M. Young,et al.  Calibration of near infrared reflectance spectroscopy to estimate nitrogen concentration in potato tissues , 2006, Potato Research.

[41]  S. Laurie,et al.  Initiation and First Results of a Biofortification Program for Sweet Potato in South Africa , 2009 .

[42]  Paul J.R. Cronje,et al.  Assessment of rind quality of 'Nules Clementine' mandarin fruit during postharvest storage: 2. Robust Vis/NIRS PLS models for prediction of physico-chemical attributes , 2014 .

[43]  V. Ravindran,et al.  Biochemical and nutritional assessment of tubers from 16 cultivars of sweet potato (Ipomoea batatas L.) , 1995 .

[44]  V. Lebot Tropical Root and Tuber Crops: Cassava, Sweet Potato, Yams and Aroids , 2008 .

[45]  Sun Xudong,et al.  Nondestructive assessment of quality of Nanfeng mandarin fruit by a portable near infrared spectroscopy , 2009 .