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[Study on predicting total acid content and soluble sugar of tomato juice by near infrared optical fiber spectrometer technique].
Guang Pu Xue Yu Guang Pu Fen Xi. 2014 Feb; 34(2):350-3.GP

Abstract

In order to explore a simple, rapid and efficient tomato quality detection method, in the present experiment near infrared spectroscopy and optical fiber sensing technology were applied to quickly measure the nutrition ingredient content in tomato juice samples. The main instrument used in this experiment was near infrared optical fiber spectrometer in a wavelength range from 900 to 2 500 nm, which measured the absorbance of the tomato juice samples; A collection of one hundred and sixty-four tomato juice samples were selected as the standard samples, the spectra and the corresponding chemical value were measured. Partial least squares (PLS) was adopted to establish the mathematical model of the total acid and soluble sugar content in tomato juice samples, and the regression equation was statistically analysed. The total acid in tomato juice prediction correlation coefficient was 0.967, calibration standard deviation (RMSEC) was 0.133, standard error of prediction (RMSEP) was 0.103; the soluble sugar prediction correlation coefficient is 0.976, calibration standard deviation (RMSEC) was 0.463, and the standard error of prediction (RMSEP) was 0. 460. The above data achieved better forecasting results, which showed that the method of quantitative analysis of tomato fruit multicomponent content was feasible. The method is rapid, simple and can do multicomponent analysis on the same sample simultaneously. It is a promising sensor and gradually becoming a international research focus in sensor field.

Authors

Zhang BF
No affiliation info available
Yuan LB
No affiliation info available
Zhang BX
No affiliation info available

MeSH

AcidsBeveragesCalibrationCarbohydratesFruitLeast-Squares AnalysisSolanum lycopersicumOptical FibersSpectroscopy, Near-Infrared

Pub Type(s)

Journal Article

Language

chi

PubMed ID

24822399

Citation

Zhang, Bing-Fang, et al. "[Study On Predicting Total Acid Content and Soluble Sugar of Tomato Juice By Near Infrared Optical Fiber Spectrometer Technique]." Guang Pu Xue Yu Guang Pu Fen Xi = Guang Pu, vol. 34, no. 2, 2014, pp. 350-3.
Zhang BF, Yuan LB, Zhang BX. [Study on predicting total acid content and soluble sugar of tomato juice by near infrared optical fiber spectrometer technique]. Guang Pu Xue Yu Guang Pu Fen Xi. 2014;34(2):350-3.
Zhang, B. F., Yuan, L. B., & Zhang, B. X. (2014). [Study on predicting total acid content and soluble sugar of tomato juice by near infrared optical fiber spectrometer technique]. Guang Pu Xue Yu Guang Pu Fen Xi = Guang Pu, 34(2), 350-3.
Zhang BF, Yuan LB, Zhang BX. [Study On Predicting Total Acid Content and Soluble Sugar of Tomato Juice By Near Infrared Optical Fiber Spectrometer Technique]. Guang Pu Xue Yu Guang Pu Fen Xi. 2014;34(2):350-3. PubMed PMID: 24822399.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - [Study on predicting total acid content and soluble sugar of tomato juice by near infrared optical fiber spectrometer technique]. AU - Zhang,Bing-Fang, AU - Yuan,Li-Bo, AU - Zhang,Bing-Xiu, PY - 2014/5/15/entrez PY - 2014/5/16/pubmed PY - 2015/8/19/medline SP - 350 EP - 3 JF - Guang pu xue yu guang pu fen xi = Guang pu JO - Guang Pu Xue Yu Guang Pu Fen Xi VL - 34 IS - 2 N2 - In order to explore a simple, rapid and efficient tomato quality detection method, in the present experiment near infrared spectroscopy and optical fiber sensing technology were applied to quickly measure the nutrition ingredient content in tomato juice samples. The main instrument used in this experiment was near infrared optical fiber spectrometer in a wavelength range from 900 to 2 500 nm, which measured the absorbance of the tomato juice samples; A collection of one hundred and sixty-four tomato juice samples were selected as the standard samples, the spectra and the corresponding chemical value were measured. Partial least squares (PLS) was adopted to establish the mathematical model of the total acid and soluble sugar content in tomato juice samples, and the regression equation was statistically analysed. The total acid in tomato juice prediction correlation coefficient was 0.967, calibration standard deviation (RMSEC) was 0.133, standard error of prediction (RMSEP) was 0.103; the soluble sugar prediction correlation coefficient is 0.976, calibration standard deviation (RMSEC) was 0.463, and the standard error of prediction (RMSEP) was 0. 460. The above data achieved better forecasting results, which showed that the method of quantitative analysis of tomato fruit multicomponent content was feasible. The method is rapid, simple and can do multicomponent analysis on the same sample simultaneously. It is a promising sensor and gradually becoming a international research focus in sensor field. SN - 1000-0593 UR - https://www.unboundmedicine.com/medline/citation/24822399/[Study_on_predicting_total_acid_content_and_soluble_sugar_of_tomato_juice_by_near_infrared_optical_fiber_spectrometer_technique]_ DB - PRIME DP - Unbound Medicine ER -