Detection of Gelatinization Properties of Millet Using Visible/Near Infrared Reflectance Spectroscopy

Jian-hu WU; Gui-feng LI; Yan-kun PENG; Jun-jie DU; Jian-guo XU; Gang GAO

doi:10.3964/j.issn.1000-0593(2020)10-3247-07

Journals >Spectroscopy and Spectral Analysis >Volume 40 >Issue 10 >Page 3247 > Article

Spectroscopy and Spectral Analysis
Vol. 40, Issue 10, 3247 (2020)

Detection of Gelatinization Properties of Millet Using Visible/Near Infrared Reflectance Spectroscopy

Jian-hu WU^1,1,*, Gui-feng LI^1,1, Yan-kun PENG^1,1, Jun-jie DU^1,1..., Jian-guo XU^1,1 and Gang GAO^1,1|Show fewer author(s)

Author Affiliations

¹[in Chinese]

¹1. College of Food Science, Shanxi Normal University, Linfen 041000, China

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DOI: 10.3964/j.issn.1000-0593(2020)10-3247-07 Cite this Article

Jian-hu WU, Gui-feng LI, Yan-kun PENG, Jun-jie DU, Jian-guo XU, Gang GAO. Detection of Gelatinization Properties of Millet Using Visible/Near Infrared Reflectance Spectroscopy[J]. Spectroscopy and Spectral Analysis, 2020, 40(10): 3247 Copy Citation Text

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Gelatinization characteristic curve and main characteristic parameters of typical millet1: Variation curve of viscosity value with temperature; 2: Instrumentation temperature control curve

Fig. 1. Gelatinization characteristic curve and main characteristic parameters of typical millet
1: Variation curve of viscosity value with temperature; 2: Instrumentation temperature control curve

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Fig. 2. Technology roadmap

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Fig. 3. Reflectance spectra of millet samples
(a): S-G spectra; (b): MSC spectra; (c): 1-D spectra

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Fig. 4. Key wavelength variables of peak viscosity selection by SPA
(a): Optimal number of wavelength variables; (b): Optimal wavelengths

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糊化参数	最小值	最大值	均值	均方差
PV/cp	717	2 305	1 347.30	429.28
TV/cp	63	390	226.01	94.01
BD/cp	581	2 006	1 122.23	375.66
FV/cp	171	946	528.03	203.33
SB/cp	104	604	303.18	114.83
GT/℃	75.10	79.93	76.89	0.91
PT/min	3.97	4.80	4.23	0.17

Table 1. Statistics of pasting viscosity properties value of millet flour samples

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糊化特性参数	光谱处理	校正集			验证集
糊化特性参数	光谱处理	范围	均值	标准偏差	范围	均值	标准偏差
	S-G	717~2 305	1 345.3	440.44	843~2 069	1 353.2	408.54
PV/cp	MSC	717~2 305	1 320.5	424.10	726~2 069	1 427.7	449.57
	1-D	717~2 305	1 820.1	420.82	795~2 069	1 548.9	402.50
	S-G	64~390	233.62	92.20	63~342	203.40	98.96
TV/cp	MSC	63~390	226.29	95.02	66~344	225.40	94.17
	1-D	63~390	222.67	95.92	66~342	236.27	90.44
	S-G	581~2 006	1 120.80	385.47	670~1 685	1 126.3	357.32
BD/cp	MSC	581~2 006	1 082.80	370.39	670~1 811	1 240.4	378.92
	1-D	581~2 006	1 089.12	375.88	670~1 811	1 219	370.51
	S-G	171~946	541.20	208.79	177~717	488.53	187.08
FV/cp	MSC	171~946	526.20	216.75	188~732	533.53	162.93
	1-D	177~946	543.84	205.65	171~680	480.60	195.20
	S-G	104~604	313.89	116.78	113~419	271.07	105.97
SB/cp	MSC	105~604	305.98	118.53	104~409	294.80	106.36
	1-D	104~604	302.82	121.83	121~406	304.27	94.42
	S-G	75.10~79.93	76.98	0.99	75.53~77.50	76.646	0.59
GT/℃	MSC	75.10~79.93	76.95	0.99	75.85~77.50	76.7153	0.65
	1-D	75.10~79.93	76.94	0.99	75.80~77.50	76.7553	0.62
	S-G	3.97~4.80	4.259 6	0.186 8	4.07~4.27	4.174 0	0.053 6
PT/min	MSC	3.97~4.80	4.234 2	0.170 1	4.07~4.60	4.220 0	0.161 1
	1-D	3.97~4.80	4.247 3	0.175 1	4.07~4.60	4.180 7	0.131 1

Table 2. The partition of sample sets based on different spectral preprocessing and SPXY

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糊化特性参数	预处理	特征波长数量	波长/nm
	S-G	5	380, 389, 420, 440, 600
PV/cp	MSC	9	385, 417, 424, 432, 510, 527, 778, 912, 950
	1-D	6	480, 603, 659, 859, 869, 874
	S-G	14	370, 376, 382, 390, 395, 401, 407, 419, 422, 702, 880, 961, 1 001, 1 019
TV/cp	MSC	17	370, 382, 390, 396, 402, 408, 425, 436, 445, 766, 775, 798, 962, 981, 991, 1 006, 1 018
	1-D	13	499, 556, 610, 619, 852, 862, 932, 940, 953, 968, 977, 991, 1 006
	S-G	15	382, 390, 393, 401, 417, 426, 446, 496, 605, 833, 962, 974, 991, 1 003, 1 007
BD/cp	MSC	7	382, 390, 425, 430, 444, 920, 929
	1-D	12	385, 606, 615, 622, 660, 799, 835, 853, 865, 916, 921, 986
	S-G	6	382, 389, 554, 810, 955, 1 020
FV/cp	MSC	10	373, 382, 415, 430, 666, 784, 861, 962, 974, 1 007
	1-D	16	474, 604, 616, 624, 673, 850, 853, 862, 865, 887, 920, 922, 928, 934, 972, 991
	S-G	7	387, 390, 442, 495, 731, 897, 985
SB/cp	MSC	18	373, 382, 389, 396, 401, 410, 425, 429, 442, 450, 776, 789, 964, 970, 975, 982, 999, 1 006
	1-D	14	447, 602, 620, 742, 827, 852, 862, 932, 935, 941, 953, 965, 991, 1 006
	S-G	5	382, 392, 678, 947, 1 006
GT/℃	MSC	2	458, 831
	1-D	3	430, 505, 930
	S-G	5	380, 417, 495, 983, 1 020
PT/min	MSC	4	373, 413, 518, 983
	1-D	2	468, 574

Table 3. Key wavelength variables selection by SPA based on different spectral preprocessing and SPXY

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糊化特性参数	预处理	R	SEC	R_p	SEP
	S-G	0.935 3	139.613 3	0.902 0	201.934 2
PV/cp	MSC	0.913 1	177.075 5	0.934 7	174.039 7
	1-D	0.918 8	153.506 4	0.860 5	227.680 5
	S-G	0.857 9	49.118 2	0.757 4	76.969 9
TV/cp	MSC	0.910 5	37.597 1	0.825 5	67.220 3
	1-D	0.915 4	35.154 1	0.784 3	69.436 6
	S-G	0.910 7	142.572 9	0.924 4	178.020 1
BD/cp	MSC	0.943 4	121.433 3	0.888 9	182.608 1
	1-D	0.947 7	114.222 4	0.894 2	194.336 9
	S-G	0.843 8	97.004 1	0.709 0	156.402 3
FV/cp	MSC	0.746 9	101.404 6	0.802 9	144.867 9
	1-D	0.937 6	65.562 3	0.853 1	132.166 7
	S-G	0.736 4	69.256 8	0.686 9	92.549 5
SB/cp	〗MSC	0.845 9	54.788 2	0.874 6	74.251 8
	1-D	0.903 2	39.131 7	0.857 2	76.737 2
	S-G	0.622 1	0.895 1	0.515 3	0.889 4
GT/℃	MSC	0.152 2	-	0.308 7	0.947 9
	1-D	0.733 6	0.503 9	0.493 7	0.882 7
	S-G	0.196 5	-	0.683 2	0.143 2
PT/min	MSC	0.911 8	0.132 9	0.696 5	0.126 5
	1-D	0.823 6	0.111 1	0.551 6	0.147 7

Table 4. Calibration and validation results of MLR models

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