Classification of Ginger Powder Maturity Using Near Infrared Spectroscopy
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บทคัดย่อ
This research studied classification of powdered ginger into maturity classes for making product of powder ginger using near infrared spectroscopy (NIRS). In development of classifying model using reflectance spectra in a range of 4,000–10,000 cm-1 obtained from powedered ginger at three levels of maturity, the results showed that the optimal model was based on the absorbance pretreated with standard normal variate in combination with second derivative. The investigation of term reduction in the model showed that the model developed from the wavelengths associated with the absorbance, which changed with ginger maturity, provided better accuracy in classification of the powdered ginger (98.55%) than the model based on the whole range of wavelengths (97.10%). NIRS proved to have potential for the application of classification of powdered ginger with respect to maturity.
Article Details
สมาคมวิศวกรรมเกษตรแห่งประเทศไทย
Thai Socities of Agricultural Engineering
References
สิรินาฏ น้อยพิทักษ์. 2557. การประเมินและจำแนกความฝาด
ของผลพลับพันธุ์ซิชูและความแก่ของขิงด้วยเทคนิคการ
วิเคราะห์ตัวแปรพหุคูณ. วิทยานิพนธ์ปริญญาวิศวกรรม
ศาสตรดุษฎีบัณฑิต. กรุงเทพมหานคร: บัณฑิตวิทยาลัย,
มหาวิทยาลัยเกษตรศาสตร์.
อนงค์ เสริฐวาสนา. 2551. การพัฒนากระบวนการแปรรูปน้ำขิง
ผงและขิงผง. วิทยานิพนธ์ปริญญาวิทยาศาสตรมหาบัณฑิต.
ขอนแก่น: บัณฑิตวิทยาลัย, มหาวิทยาลัยขอนแก่น.
Bartley, J.P., Jacobs, A.L. 2000. Effects of drying on
flavour compounds in Australian-grown ginger
(Zingiber officinale). Journal of the Science of Food
and Agriculture 80, 209–215.
Baera, I., Gurnyb, R., Margota, P. 2007. NIR analysis of
cellulose and lactose—Application to ecstasy
tablet analysis. Forensic Science International 167,
–241.
Ballabio, D., Todeschini, R. 2009. Multivariate classification
for qualitative analysis. In: Sun, D.W. (Eds.), Infrared
Spectroscopy for Food Quality Analysis and Control
(pp. 83–104). New York, USA: Academic Press.
Bone, K. 1997. Ginger. The British Journal of Phytotherapy
, 110-120.
Borina, A., Ferrão, M.F., Mello, C., Maretto, D.A., Poppi,
R.J. 2006. Least-squares support vector machines
and near infrared spectroscopy for quantification of
common adulterants in powdered milk. Analytica
Chimica Acta 579, 25-32.
Donald, A.B., Emil, W.C. 2001. Handbook of Near-
Infrared Analysis. (2nd ed). Taylor & Francis.
Guo-quan, L., Hua-hong, H., Da-peng, Z. 2006. Application
of near-infrared spectroscopy to predict sweetpotato
starch thermal properties and noodle quality. Journal
of Zhejiang University SCIENCE B 7, 475-481.
Inagaki, T., Siesler, H.W., Mitsui, K., Tsuchikawa, S. 2010.
Difference of the crystal structure of cellulose in
wood after hydrothermal and aging degradation: A NIR
spectroscopy and XRD Study. Biomacromolecules 11,
–2305.
Katayama, K., Komaki, K., Tamiya, S. 1996. Prediction of
starch, moisture, and sugar in sweetpotato by near
infrared transmittance. HORTSCIENCE 31, 1003-
Kays, S.E., Windham, W.R., Barton, F.E. 1996.
Prediction of total dietary fiber in cereal products
using near-infrared reflectance spectroscopy.
Journal of Agricultural and Food Chemistry 44,
–2271.
Kikuzaki, H. 2000. Ginger for drug and spice purposes.
In: Mazza, G., Oomah, B.D. (Eds.), Herbs, Botanicals
and Teas, (pp. 75-105). Lancaster, PA: Technomic
Publishing Company.
Kumar, S., Saxena, K., Singh, U.N., Saxena, R. 2013. Antiinflammatory
action of ginger: A critical review in
anemia of inflammation and its future aspects.
International Journal of Herbal Medicine 1, 16-20.
Naes, T., Isaksson, T., Fearn, T., Davies, T. 2002. A Userfriendly
Guide to Multivariate Calibrationn and
Classification. Chichester, U.K.: NIR Publications.
Ratnambal, M.J., Gopalan, A., Nair, M.K. 1987. Quality
evaluation of ginger in relation to maturity. Journal
of Plantation Crops 15, 108-111.
Vernin, G., Parkanyi, C. 2005. Chemistry of ginger. In:
Ravindran, P.N., Babu, K.N. (Eds.), Ginger: The Genus
Zingiber, (pp. 87-180). Boca Raton, FL: CRC Press
Xiaoying, N., Zhilei, Z., Kejun, J., Xiaoting, L. 2012. A
feasibility study on quantitative analysis of glucose
and fructose in lotus root powder by FT-NIR
spectroscopy and chemometrics. Food Chemistry
, 592-597.