葫芦科作物叶片硅含量测定方法的优化

doi:10.3969/j.issn.1004-1524.2023.02.11

浙江农业学报 ›› 2023, Vol. 35 ›› Issue (2): 338-345.DOI: 10.3969/j.issn.1004-1524.2023.02.11

葫芦科作物叶片硅含量测定方法的优化

孙楠(), 闫国超, 何勇, 朱祝军()

浙江农林大学园艺科学学院,浙江杭州 311300

收稿日期:2022-04-09 出版日期:2023-02-25 发布日期:2023-03-14
通讯作者: 朱祝军
作者简介:*朱祝军,E-mail:zhuzj@zafu.edu.cn
孙楠(1991—),男,浙江宁波人,硕士研究生,主要从事蔬菜栽培生理研究。E-mail:2019601041027@stu.zafu.edu.cn
基金资助:
国家重点研发计划(2018YFD1000806-09)

Rapid determination of silicon content in Cucurbitaceae leaves by silicon molybdenum blue method

SUN Nan(), YAN Guochao, HE Yong, ZHU Zhujun()

College of Horticulture Science, Zhejiang A&F University, Hangzhou 311300, China

Received:2022-04-09 Online:2023-02-25 Published:2023-03-14
Contact: ZHU Zhujun

摘要/Abstract

摘要：

为优化葫芦科作物硅含量的测定方法,给园艺植物硅肥应用与硅营养研究提供技术支持,以‘津优1号’黄瓜、‘蜜本’南瓜和‘早佳8424’西瓜3种葫芦科作物为研究材料,分析硅提取与含量测定过程中不同的研磨温度、研磨时间、浸提时间、硅钼黄显色反应水浴时间、硅钼蓝还原反应时间、显色液吸光度测定波长等对作物叶片硅含量测定结果的影响。结果表明:在植物样品硅提取过程中,研磨仪低温(液氮,-196 ℃)研磨硅含量测定值高于室温研磨。在样品研磨时间与浸提时间方面,正交试验与全因子试验结果均显示,50 Hz低温研磨30 s、浸提10 min组合测定效果最佳。在硅显色测定方面,硅钼黄显色反应水浴3 min后测定值趋于稳定,硅钼蓝还原反应2 min后测定结果趋于稳定,硅钼蓝显色反应液在波长810 nm附近出现最大吸收峰。针对葫芦科作物叶片硅含量的最优测定流程为植物样品采用研磨仪50 Hz液氮研磨30 s,常温浸提10 min,50 ℃水浴3 min进行硅钼黄显色反应,硅钼蓝还原反应2 min,810 nm处测定吸光度,该方法回收率为93%~108%。

关键词: 硅钼蓝比色法, 葫芦科, 叶片, 硅, 研磨温度, 浸提时间, 波长

Abstract:

In this study, the method of silicon content determination in Cucurbitaceae crop tissues was modified aiming to provide technical support for the application of silicon fertilizer and related researches in horticultural plants. Different Cucurbitaceae crops including cucumber (Jinyou No.1), pumpkin (Miben) and watermelon (Zaojia 8424) were used in this study, and the effects of grinding temperature, grinding time, extracting time, water bathing time, reduction reaction time and absorption wavelength on the determination of silicon contents were investigated. As for silicon extraction process, measured value of silicon content by grinding under low-temperature (liquid nitrogen,-196 ℃) showed significant higher than that under room temperature. The results of the orthogonal test and full factorial experiments showed that the combination of low temperature grinding at 50 Hz for 30 s and extracting for 10 min was the best assay. The measured value tended to be stable after 3 min of water bathing, 2 min of reduction reaction. In addition, the results showed that the maximum absorption of silicon molybdenum blue was 810 nm. In conclusion, the optimal methods for silicon extraction and determination were as follows: 50 Hz grinding at low-temperature (liquid nitrogen,-196 ℃) for 30 s, extracting for 10 min at room temperature, 50 ℃ water bathing for 3 min, reduction reaction for 2 min, and the absorbance value was determined at 810 nm using spectrophotometer. The recovery rate of this method was 93%-108%.

Key words: silicon molybdenum blue, Cucurbitaceae, leaf, silicon, grinding temperature, extracting time, wavelength

中图分类号:

S642
S184

孙楠, 闫国超, 何勇, 朱祝军. 葫芦科作物叶片硅含量测定方法的优化[J]. 浙江农业学报, 2023, 35(2): 338-345.

SUN Nan, YAN Guochao, HE Yong, ZHU Zhujun. Rapid determination of silicon content in Cucurbitaceae leaves by silicon molybdenum blue method[J]. Acta Agriculturae Zhejiangensis, 2023, 35(2): 338-345.

图/表 11

参考文献 12

[1]	MA J F. Role of silicon in enhancing the resistance of plants to biotic and abiotic stresses[J]. Soil Science and Plant Nutrition, 2004, 50(1): 11-18.
[2]	韩科峰, 陈余平, 胡铁军, 等. 硅钙钾镁肥对浙江省酸性水稻土壤的改良效果[J]. 浙江农业学报, 2018, 30(1): 117-122.
	HAN K F, CHEN Y P, HU T J, et al. Effects of silicon, calcium, potassium and magnesium fertilizer on acid paddy soil improvement in Zhejiang Province[J]. Acta Agriculturae Zhejiangensis, 2018, 30(1): 117-122. (in Chinese with English abstract)
[3]	扈晓杰, 朱祝军. 硅对黄瓜白粉病抗性及叶片质外体抗氧化酶活性的影响[J]. 浙江农业学报, 2008, 20(1): 67-71.
	HU X J, ZHU Z J. Effects of silicon on resistance of powdery mildew and the activities of antioxidative enzymes in leaf apoplast of cucumber[J]. Acta Agriculturae Zhejiangensis, 2008, 20(1): 67-71. (in Chinese with English abstract)
[4]	焦云, 舒巧云, 赵秀花. 稀土与硅叶面肥对桃果实品质的影响[J]. 浙江农业科学, 2019, 60(6): 997-999.
	JIAO Y, SHU Q Y, ZHAO X H. Effect of rare earth-silane foliar fertilizers on quality of peach fruit[J]. Journal of Zhejiang Agricultural Sciences, 2019, 60(6): 997-999. (in Chinese with English abstract)
[5]	侯双霞, 侯宏涛. 二氧化硅常见测定方法的探讨[J]. 科技视界, 2015(18): 137.
	HOU S X, HOU H T. Discussion on common determination methods of silicon dioxide[J]. Science & Technology Vision, 2015(18): 137. (in Chinese with English abstract)
[6]	胡军, 向成钢, 王长林, 等. 嫁接对不同黄瓜接穗硅和果面蜡粉含量的影响[J]. 北方园艺, 2016(2): 16-19.
	HU J, XIANG C G, WANG C L, et al. Effect of rootstock on silicon and fruit surface wax powder content in grafted cucumber[J]. Northern Horticulture, 2016(2): 16-19. (in Chinese with English abstract)
[7]	王华, 熊升伟, 盛强. 硅钼蓝分光光度法测定进口玉米中的二氧化硅[J]. 粮食储藏, 2012, 41(5): 42-44.
	WANG H, XIONG S W, SHENG Q. Determination of silica in import corn by silicon molybdenum blue spectrophotometric[J]. Grain Storage, 2012, 41(5): 42-44. (in Chinese with English abstract)
[8]	华海霞, 于慧国, 刘德君. 硅钼蓝比色法测定植株中的硅[J]. 现代农业科技, 2013(24): 173-174.
	HUA H X, YU H G, LIU D J. Determination of silicon concentration in the plants by colorimetric molybdenum blue method[J]. Modern Agricultural Science and Technology, 2013(24): 173-174. (in Chinese with English abstract)
[9]	李换丽. 硅对番茄幼苗抗盐性的影响及机理初探[D]. 杨凌: 西北农林科技大学, 2015.
	LI H L. The effect and mechanism of exogenous silicon on salt resistance of tomato seedlings[D]. Yangling: Northwest A & F University, 2015. (in Chinese with English abstract)
[10]	梁永超, 陈兴华, 王大平. 水稻植株体内TCA-Si(三氯乙酸溶性硅)含量变化及其分布[J]. 江苏农业学报, 1991, 7(4): 41-43.
	LIANG Y C, CHEN X H, WANG D P. Changes and distribution of TCA-Si (trichloroacetic acid soluble silicon) content in rice plants[J]. Jiangsu Journal of Agricultural Sciences, 1991, 7(4): 41-43. (in Chinese with English abstract)
[11]	陈秋娟, 谢微, 韦师. 硅钼蓝-紫外可见分光光度法测定里松温泉水中硅的含量[J]. 现代化工, 2017, 37(12): 210-214.
	CHEN Q J, XIE W, WEI S. Determination of silicon content in Lisong hot spring water by silicon molybdenum blue UV-visible spectrophotometry[J]. Modern Chemical Industry, 2017, 37(12): 210-214. (in Chinese with English abstract)
[12]	杨帆, 李璇, 司升云. 高效液相色谱-串联质谱法测定黄瓜中啶虫脒残留[J]. 长江蔬菜, 2019(24): 70-73.
	YANG F, LI X, SI S Y. Determination of acetamiprid residues in cucumber by high performance liquid chromatography-tandem mass spectrometry[J]. Journal of Changjiang Vegetables, 2019(24): 70-73. (in Chinese with English abstract)

水平 Level	因素Factors
水平 Level	S样品种类 Sample kinds	E浸提时间 Extraction time/min	G研磨时间 Grinding time/s
1	黄瓜Cucumber	5	20
2	南瓜Pumpkin	10	30
3	西瓜Watermelon	15	40

水平 Level	因素Factors
水平 Level	S样品种类 Sample kinds	E浸提时间 Extraction time/min	G研磨时间 Grinding time/s
1	黄瓜Cucumber	5	20
2	南瓜Pumpkin	10	30
3	西瓜Watermelon	15	40

样品种类 Sample kinds	试验号 Test number	浸提时间 Extraction time	研磨时间 Grinding time
S1	1	E1	G1
	2	E1	G2
	3	E1	G3
	4	E2	G1
	5	E2	G2
	6	E2	G3
	7	E3	G1
	8	E3	G2
	9	E3	G3
S2	10	E1	G1
	11	E1	G2
	12	E1	G3
	13	E2	G1
	14	E2	G2
	15	E2	G3
	16	E3	G1
	17	E3	G2
	18	E3	G3
S3	19	E1	G1
	20	E1	G2
	21	E1	G3
	22	E2	G1
	23	E2	G2
	24	E2	G3
	25	E3	G1
	26	E3	G2
	27	E3	G3

样品种类 Sample kinds	试验号 Test number	浸提时间 Extraction time	研磨时间 Grinding time
S1	1	E1	G1
	2	E1	G2
	3	E1	G3
	4	E2	G1
	5	E2	G2
	6	E2	G3
	7	E3	G1
	8	E3	G2
	9	E3	G3
S2	10	E1	G1
	11	E1	G2
	12	E1	G3
	13	E2	G1
	14	E2	G2
	15	E2	G3
	16	E3	G1
	17	E3	G2
	18	E3	G3
S3	19	E1	G1
	20	E1	G2
	21	E1	G3
	22	E2	G1
	23	E2	G2
	24	E2	G3
	25	E3	G1
	26	E3	G2
	27	E3	G3

试验号 Test number	S样品种类 Sample kinds	E浸提时间 Extraction time	G研磨时间 Grinding time	硅含量 Si content/(μg·g^-1)
1	1	1	1	97.09±0.94 c
2	1	2	2	114.59±1.96 a
3	1	3	3	115.18±2.30 a
4	2	1	2	98.07±0.89 c
5	2	2	3	103.28±0.84 b
6	2	3	1	94.68±3.59 c
7	3	1	3	84.29±1.00 e
8	3	2	1	83.18±1.55 e
9	3	3	2	89.89±0.38 d

葫芦科作物叶片硅含量测定方法的优化

Rapid determination of silicon content in Cucurbitaceae leaves by silicon molybdenum blue method

RichHTML

PDF (PC)

可视化

摘要/Abstract

引用本文

使用本文

图/表 11

参考文献 12

相关文章 15

编辑推荐

Metrics

本文评价

样品种类 Sample kinds	试验号 Test number	浸提时间 Extraction time	研磨时间 Grinding time
S1	1	E1	G1
	2	E1	G2
	3	E1	G3
	4	E2	G1
	5	E2	G2
	6	E2	G3
	7	E3	G1
	8	E3	G2
	9	E3	G3
S2	10	E1	G1
	11	E1	G2
	12	E1	G3
	13	E2	G1
	14	E2	G2
	15	E2	G3
	16	E3	G1
	17	E3	G2
	18	E3	G3
S3	19	E1	G1
	20	E1	G2
	21	E1	G3
	22	E2	G1
	23	E2	G2
	24	E2	G3
	25	E3	G1
	26	E3	G2
	27	E3	G3

样品种类 Sample kinds	试验号 Test number	浸提时间 Extraction time	研磨时间 Grinding time
S1	1	E1	G1
	2	E1	G2
	3	E1	G3
	4	E2	G1
	5	E2	G2
	6	E2	G3
	7	E3	G1
	8	E3	G2
	9	E3	G3
S2	10	E1	G1
	11	E1	G2
	12	E1	G3
	13	E2	G1
	14	E2	G2
	15	E2	G3
	16	E3	G1
	17	E3	G2
	18	E3	G3
S3	19	E1	G1
	20	E1	G2
	21	E1	G3
	22	E2	G1
	23	E2	G2
	24	E2	G3
	25	E3	G1
	26	E3	G2
	27	E3	G3

变异来源 Sources of variation	自由度 Degree of freedom	均方 Mean square	F值 F value	P值 P value
S样品种类Sample kinds	8	303.247	127.384	0.008
E浸提时间Extraction time	8	36.665	15.402	0.061
G研磨时间Grinding time	8	63.932	26.856	0.036
误差Error	8	2.381	0.028
总计Sum	26	124.992

因素 Factor	硅含量Si content
因素 Factor	k₁/(μg·g^-1)	k₂/(μg·g^-1)	k₃/(μg·g^-1)	R/(μg·g^-1)	最优水平Optimal level
S样品种类Sample kinds	108.95	98.68	85.79	23.16	1
E浸提时间Extraction time	93.15	100.35	99.92	7.2	2
G研磨时间Grinding time	91.65	100.85	100.92	9.27	3

样品 Sample	编号 No.	50 μg·g^-1加标量 50 μg·g^-1 scalar addition			100 μg·g^-1加标量 100 μg·g^-1 scalar addition			150 μg·g^-1加标量 150 μg·g^-1 scalar addition
样品 Sample	编号 No.	样品硅含量 Si content/ (μg·g^-1)	测定值 Measured value/ (μg·g^-1)	回收率 Rate of recovery/ %	样品硅含量 Si content/ (μg·g^-1)	测定值 Measured value/ (μg·g^-1)	回收率 Rate of recovery/ %	样品硅含量 Si content/ (μg·g^-1)	测定值 Measured value/ (μg·g^-1)	回收率 Rate of recovery/ %
黄瓜	1	116	169	102	116	211	98	116	264	99
Cucumber	2	116	163	99	116	207	96	116	260	98
	3	116	159	96	116	207	96	116	255	96
	4	116	154	93	116	214	99	116	272	102
	5	116	171	103	116	221	103	116	274	103
	6	116	158	95	116	210	97	116	260	98
	7	116	160	97	116	210	97	116	269	101
	8	116	168	101	116	214	99	116	270	102
南瓜	1	105	161	104	105	206	100	105	259	102
Pumpkin	2	105	151	98	105	199	97	105	260	102
	3	105	148	95	105	210	103	105	263	103
	4	105	164	106	105	212	103	105	243	95
	5	105	159	102	105	191	93	105	249	98
	6	105	161	104	105	206	101	105	255	100
	7	105	154	100	105	213	104	105	252	99
	8	105	150	97	105	200	98	105	261	102
西瓜	1	89	148	106	89	202	107	89	235	98
Watermelon	2	89	150	108	89	203	107	89	240	100
	3	89	143	102	89	196	103	89	229	96
	4	89	144	103	89	201	106	89	235	98
	5	89	136	98	89	184	97	89	241	101
	6	89	137	98	89	183	97	89	247	103
	7	89	140	101	89	199	105	89	230	96
	8	89	140	101	89	180	95	89	232	97

[1]	朱世松, 马婉丽, 赵理山, 郑艳梅, 郑先波, 芦碧波. 基于改进的LinkNet的苹果叶片图像分割算法[J]. 浙江农业学报, 2023, 35(1): 202-214.
[2]	李含芬, 李鼎立, 王然, 马春晖. 不同矮化中间砧对黄金梨树体生长的影响及嫁接亲和性相关性分析[J]. 浙江农业学报, 2022, 34(6): 1175-1182.
[3]	唐卫东, 刘振文, 刘冬生, 胡雪华. 低温弱光胁迫对设施黄瓜叶片面积与干物质量的影响[J]. 浙江农业学报, 2022, 34(3): 517-524.
[4]	张梓婷, 韩金玉, 张东辉, 李晗, 李铭源, 邓志平, 孙晓勇. 基于颜色矩的土豆、玉米、苹果叶片病害异常检测[J]. 浙江农业学报, 2022, 34(10): 2230-2239.
[5]	郭阳, 郭俊先, 史勇, 李雪莲, 黄华. 基于BiPLS-CARS-PLS的哈密瓜冠层叶片SPAD值反演建模[J]. 浙江农业学报, 2022, 34(10): 2286-2295.
[6]	张红涛, 李艺嘉, 谭联, 许帅涛. 基于CS-SVM的谷子叶片病害图像识别[J]. 浙江农业学报, 2020, 32(2): 274-282.
[7]	杨红云, 罗建军, 孙爱珍, 万颖, 易文龙. 基于图像特征的水稻叶片全氮含量估测模型研究[J]. 浙江农业学报, 2020, 32(12): 2232-2243.
[8]	钟伟镇, 刘鑫磊, 杨坤龙, 李丰果. 基于Mask-RCNN的复杂背景下多目标叶片的分割和识别[J]. 浙江农业学报, 2020, 32(11): 2059-2066.
[9]	路艳, 杨红云, 周琼, 孙玉婷, 殷华. 基于B样条曲线的水稻叶片几何参数测量系统[J]. 浙江农业学报, 2019, 31(6): 996-1004.
[10]	韩国民, 刘茜, 唐美玲, 代玲敏. 外源褪黑素对NaCl胁迫下5BB葡萄叶片生理特性的影响[J]. 浙江农业学报, 2019, 31(4): 556-564.
[11]	李颀, 赵洁, 杨柳, 王俊, 高一星. 基于GA-BP神经网络和特征向量优化组合的黄瓜叶片病斑识别[J]. 浙江农业学报, 2019, 31(3): 487-495.
[12]	商佳胤, 李凯, 王超霞, 集贤, 孙建军, 王丹, 苏宏, 田淑芬. 叶果比对巨峰葡萄修剪效率及叶片生理特性的影响[J]. 浙江农业学报, 2019, 31(11): 1855-1862.
[13]	杨红云, 周琼, 杨珺, 孙玉婷, 路艳, 殷华. 基于高光谱的水稻叶片氮素营养诊断研究[J]. 浙江农业学报, 2019, 31(10): 1575-1582.
[14]	郑俊波. 无损检测10种植物叶片含水量的通用模型[J]. 浙江农业学报, 2019, 31(10): 1717-1723.
[15]	步正延, 李臻峰, 宋飞虎, 李斌, 李静. 基于太赫兹成像技术的大豆叶片水分含量测定[J]. 浙江农业学报, 2018, 30(8): 1420-1426.

处理 Treatment	水浴时间 Water bath time/min	硅钼蓝还原反应时间 Reduction reaction time of silicon molybdenum blue/min
1	1	0
2	2	2
3	3	4
4	4	6
5	5	8

处理 Treatment	水浴时间 Water bath time/min	硅钼蓝还原反应时间 Reduction reaction time of silicon molybdenum blue/min
1	1	0
2	2	2
3	3	4
4	4	6
5	5	8

样品种类 Sample kinds	试验号 Test number	浸提时间 Extraction time	研磨时间 Grinding time
S1	1	E1	G1
	2	E1	G2
	3	E1	G3
	4	E2	G1
	5	E2	G2
	6	E2	G3
	7	E3	G1
	8	E3	G2
	9	E3	G3
S2	10	E1	G1
	11	E1	G2
	12	E1	G3
	13	E2	G1
	14	E2	G2
	15	E2	G3
	16	E3	G1
	17	E3	G2
	18	E3	G3
S3	19	E1	G1
	20	E1	G2
	21	E1	G3
	22	E2	G1
	23	E2	G2
	24	E2	G3
	25	E3	G1
	26	E3	G2
	27	E3	G3

样品种类 Sample kinds	试验号 Test number	浸提时间 Extraction time	研磨时间 Grinding time
S1	1	E1	G1
	2	E1	G2
	3	E1	G3
	4	E2	G1
	5	E2	G2
	6	E2	G3
	7	E3	G1
	8	E3	G2
	9	E3	G3
S2	10	E1	G1
	11	E1	G2
	12	E1	G3
	13	E2	G1
	14	E2	G2
	15	E2	G3
	16	E3	G1
	17	E3	G2
	18	E3	G3
S3	19	E1	G1
	20	E1	G2
	21	E1	G3
	22	E2	G1
	23	E2	G2
	24	E2	G3
	25	E3	G1
	26	E3	G2
	27	E3	G3

样品种类 Sample kinds	试验号 Test number	浸提时间 Extraction time	研磨时间 Grinding time
S1	1	E1	G1
	2	E1	G2
	3	E1	G3
	4	E2	G1
	5	E2	G2
	6	E2	G3
	7	E3	G1
	8	E3	G2
	9	E3	G3
S2	10	E1	G1
	11	E1	G2
	12	E1	G3
	13	E2	G1
	14	E2	G2
	15	E2	G3
	16	E3	G1
	17	E3	G2
	18	E3	G3
S3	19	E1	G1
	20	E1	G2
	21	E1	G3
	22	E2	G1
	23	E2	G2
	24	E2	G3
	25	E3	G1
	26	E3	G2
	27	E3	G3

样品种类 Sample kinds	试验号 Test number	浸提时间 Extraction time	研磨时间 Grinding time
S1	1	E1	G1
	2	E1	G2
	3	E1	G3
	4	E2	G1
	5	E2	G2
	6	E2	G3
	7	E3	G1
	8	E3	G2
	9	E3	G3
S2	10	E1	G1
	11	E1	G2
	12	E1	G3
	13	E2	G1
	14	E2	G2
	15	E2	G3
	16	E3	G1
	17	E3	G2
	18	E3	G3
S3	19	E1	G1
	20	E1	G2
	21	E1	G3
	22	E2	G1
	23	E2	G2
	24	E2	G3
	25	E3	G1
	26	E3	G2
	27	E3	G3