Abstract
To study on internal quality of the fruit, in order to improve the detection speed and robustness, near infrared spectral diffuse transmission is applied to on-line detection research, using partial least squares regression (PLSR) algorithm combined with different pre-processing methods to establish the quantitative models of soluble solids content (SSC) of internal quality of the apple. The results of final model were achieved as follow: the model was stability which was used by first derivative combined with multiplicative signal correction (MSC), rootmean square errors of calibration and rootmean square errors of prediction are 0.17 and 0.39, respectively, the correlation coefficient of calibration is 0.988 3. The results indicated that the diffuse transmission of NIRS could be applied successful determine the SSC in apple as a fast and nondestructive method.
Publication Date
6-28-2015
First Page
40
Last Page
42
DOI
10.13652/j.issn.1003-5788.2015.03.010
Recommended Citation
Huishan, LU; Pengqiang, CHEN; Hongwei, YAN; Qiang, GAO; and Fujie, WANG
(2015)
"On-line detection research of apple’s soluble solids content of diffuse transmission technology based on near infrared spectroscopy,"
Food and Machinery: Vol. 31:
Iss.
3, Article 10.
DOI: 10.13652/j.issn.1003-5788.2015.03.010
Available at:
https://www.ifoodmm.cn/journal/vol31/iss3/10
References
[1] 严衍禄. 近红外光谱分析的原理、技术与应用［M］. 北京：中国轻工业出版社，2013.
[2] 宋海燕. 土壤近红外光谱检测［M］. 北京：化学工业出版社, 2013.
[3] Wedding B B, Wright C, Graul S, et al. Effects of seasonal variability on FT—NIR prediction of dry matter content for whole Hass avocado fruit［J］. Postharvest Biology and Technology, 2013, 75(1): 9～16.
[4] 曹霞，周学成，范品良. 基于近红外漫反射光谱技术的芒果糖度无损检测方法研究［J］. 农机化研究，2013(1)：177～180.
[5] 陈丽娟. 近红外双波长全固态激光特性研究［D］. 济南：山东大学，2013.
[6] 安泉鑫，陈莉，庞林江，等. 近红外光谱技术在食品中的应用进展［J］. 食品与机械， 2012, 28(5): 239～242.
[7] 章海亮，孙旭东，刘燕德，等. 近红外光谱检测苹果可溶性固形物［J］. 农业工程学报，2009, 25(S2): 340～343.
[8] 刘燕德，孙旭东，陈兴苗. 近红外漫反射光谱检测梨内部指标可溶性固性物的研究［J］. 光谱学与光谱分析，2008, 28(4): 797～800.
[9] Shenderey C, Shmulevich I, Alchanatis V, et al. NIRS detection of moldy core in apples［J］. Food Bioprocess Technol., 2010, 3(1): 79～86.
[10] 徐彦，李忠海，付湘晋，等. 近红外光谱技术在稻米品质快速检测中的应用［J］. 食品与机械，2011, 27(1): 158～161.
[11] 廖宜涛，樊玉霞，武学千，等. 猪肉pH值的可见近红外光谱在线检测研究［J］. 光谱学与光谱分析，2010, 30(3):681～684.
[12] Lourdes Salguero-Chaparro, Vincent Baeten, Juan A Fernández-Pierna, et al. Near infrared spectroscopy (NIRS) for on-line determination of quality parameters in intact olives［J］. Food Chemistry, 2013, 139(1～4):1 121～1 126.