|
|
|
|
|
|
Determination of S and the Correlation With Total Protein in Pet Feeds by Super Microwave Digestion ICP-OES |
CHEN Shu-di1, LI Jin-cai1, CHEN Xiao-yan1*, LI Sheng1, ZHANG Shi-wei1, 2, ZHENG Yan-jie1* |
1. Shenzhen Academy of Metrology Quality and Inspection,Shenzhen 518131,China
2. Technology Innovation Center of Intelligent Opto-electronic Sensing for State Market Regulation,Shenzhen 518131,China
|
|
|
Abstract A novel method for determining the sulfur content in pet feeds was established using a super microwave digestion system and inductively coupled plasma optical emission spectrometry (ICP-OES) in the study. For the first time, we systematically investigated the effects of super microwave digestion conditions on residual carbon content (RCC) and residual acid (RA) in the digestion solution. We evaluated the digestion effects effectively and developed a new strategy for optimizing microwave digestion conditions based on these indicators. Furthermore, we thoroughly examined the influence of five different sulfur species on sulfur determination. We found that the emission intensity of sulfur was significantly enhanced by preparing low-valent sulfur standard substances under acidic conditions. However, when high-valent sulfur standard substances were prepared under acidic, neutral, or alkaline conditions, the emission intensity of sulfur remained relatively stable. This provided useful guidance for selecting preparation media and sulfur standard substances. Additionally, our research revealed that the super microwave digestion system effectively eliminated the enhanced emission intensity effect of low-valent sulfur under acidic conditions. In summary, the accurate determination of five different valence states of sulfur in pet feeds can be achieved by preparing high valence sulfate (SO2-4) standard substance under acidic conditions using the super microwave digestion system. The recoveries ranged from 86.5%~108%, and the RSD was between 1.69% and 4.18%. The detection limit was 6.2 mg·kg-1. Compared with the national standard method, this method had high sensitivity, low cost, environmental friendliness, and high work efficiency. Furthermore, a significant positive correlation was observed between sulfur and total protein content in pet feeds (correlation coefficient=0.819, p<0.01). This conclusion can provide new ideas and directions for accurately determining pet feed protein content.
|
Received: 2024-01-25
Accepted: 2024-04-29
|
|
Corresponding Authors:
CHEN Xiao-yan, ZHENG Yan-jie
E-mail: 634403201@qq.com;smq1234567@163.com
|
|
[1] LI Xiu-hua(李秀花). Chinese Qinghai Journal of Animal and Veterinary Sciences(青海畜牧兽医杂志),2008,38(1):14.
[2] National Stndards of the People's Republic of China(中华人民共和国国家标准). GB/T17776—2016 Determination of Sulfur in Feedstuff-Magnesium Nitrate Method(GB/T17776—2016 饲料中硫的测定 硝酸镁法). Beijing:Standars Press of China(北京:中国标准出版社),2016.
[3] ZHANG Zong-xiang,ZHU Yu-fang(张宗祥,朱宇芳). Fujian Analysis & Testing(福建分析测试),2007,16(3):65.
[4] SUN Hai-tao,ZHANG Ying(孙海涛,张 颖). Environmental Monitoring and Forewarning(环境监控与预警),2017,9(4):35.
[5] ZHAO Dong-rui,ZHANG Li-mo,ZHANG Feng-guo,et al(赵东瑞,张丽末,张锋国,等). Food Science(食品科学),2016,37(22):99.
[6] CUI Yu-hong,FAN Kai-zhen,GUO Jing-wen,et al(崔宇宏,樊开珍,郭景文,等). Chin J Phamn Anal(药物分析杂志),2012,31(1):123.
[7] Dalen G V. X-Ray Spectrometry,1998,27(1):26.
[8] ZHANG Qi,LIU Lin-juan(张 琪,刘琳娟). Chemical Analysis and Meterage(化学分析计量),2007,16(2):40.
[9] Marrocos V C P,Gonçalves R A,Lepri F G,et al. SpectrochimicaActa Part B: Atomic Spectroscopy,2020,174:106008.
[10] ZHAO Xiao-xue,WANG Jian-bo,WANG Long-fei,et al(赵小学,王建波,王龙飞,等). Environmental Monitoring in China(中国环境监测),2022,38(2):164.
[11] ZHAO Liu-hong,LAN Chang-bo(赵柳红,蓝长波). Journal of Food Safety and Quality(食品安全质量检测学报),2019,10(20):6.
[12] LU Li,LIU Er-long,ZHAN Ye-tian,et al(卢 丽,刘二龙,詹业添,等). Journal of Food Safety and Quality(食品安全质量检测学报),2018,9(3):564.
[13] Yang J,Conver T S,Koropchak J A. Anal. Chem.,1996,68:4064.
[14] Langlois B,Dautheribes J L,MermetJ. M. J. Anal. At. Spectrom.,2003,18:76.
[15] Montiel J,Grinday G,Gras L,et al. Spectrochimica Acta Part B,2013,81:36.
[16] National Stndards of the People's Republic of China(中华人民共和国国家标准). GB/T6432—2018 Determination of Crude Protein in Feeds-Kjeldahl Method(GB/T6432—2018 饲料中粗蛋白的测定 凯氏定氮法). Beijing:Standars Press of China(北京:中国标准出版杜),2018.
|
[1] |
DU Jin-yao1, 2, HE Shi-zhong1, 2*, YANG Zhi-hong1, 2, ZHANG Lin-ying1, 2, ZHANG Jing-ru1, 2. Infrared Spectroscopy Analysis of Sulphur Content in Train-Set Gearbox Lubricants[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2025, 45(01): 239-245. |
[2] |
ZHANG Jia-wei1, WU Dong-sheng1, ZHOU Yang2, LI Yang2, 3, 4, SUN Lan-xiang2, 3, 4*. Study on the Influence of Argon Environment on the Determination of C, P and S Elements in Steel by Laser-Induced Breakdown Spectrometry[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(10): 2834-2839. |
[3] |
LIANG Qing-xiang1, ZHOU Wu1, WU Ai-bin1, 2, 3*, SHU Wen-ming1, 3, YU Wei-chu1, 2*. Design, Synthesis and Performance of Fluorescent Probe for Detection of Hg2+ With 1,3-Oxathiolane as Receptor[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(07): 1913-1917. |
[4] |
HU Chun-qiao1, 2, LUO Yu-han1*, SONG Run-ze1, 2, CHANG Zhen1, XI Liang1, ZHOU Hai-jin1, SI Fu-qi1. Study on Ground-Based Fast IDOAS for Monitoring the Distribution of Pollutants Discharged From Ship[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(06): 1537-1545. |
[5] |
SU Ying1, 2, 3,ZHOU Tao-hong1, 2, 3,LIU Jie1, 2, 3,HUANG Hui1, 2, 3,LIU Di1, 2, 3,WANG Jing-jing4,XIE Yun-fei5*. The Rapid Detection and Identification of KAl(SO4)2 in Fans by Portable EDXRF[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(04): 1067-1072. |
[6] |
ZHANG Xiao-li1, WANG Yu1, 2*, XI Liang2, ZHOU Hai-jin2, CHANG Zhen2, SI Fu-qi2. Application Research of Airborne Optical Fiber Imaging Differential
Absorption Spectrometer in Measuring Regional Air Pollution[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(02): 310-317. |
[7] |
ZHU Hua-dong1, 2, 3, ZHANG Si-qi1, 2, 3, TANG Chun-jie1, 2, 3. Research and Application of On-Line Analysis of CO2 and H2S in Natural Gas Feed Gas by Laser Raman Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(11): 3551-3558. |
[8] |
YANG Jing1, LI Li1, LIANG Jian-dan1, HUANG Shan1, SU Wei1, WEI Ya-shu2, WEI Liang1*, XIAO Qi1*. Study on the Interaction Mechanism Between Thiosemicarbazide Aryl Ruthenium Complexes and Human Serum Albumin[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(09): 2761-2767. |
[9] |
LIU Gang1, LÜ Jia-ming1, NIU Wen-xing1, LI Qi-feng2, ZHANG Ying-hu2, YANG Yun-peng2, MA Xiang-yun2*. Detection of Sulfur Content in Vessel Fuel Based on Hyperspectral
Imaging Technology[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(06): 1697-1702. |
[10] |
ZONG Zhi-fang1, 2, 3, LONG Hong-ming1*, Yilin Gui3*, ZHANG Hao1, 2, DONG Wei2, ZHOU Xiao-hui2, JI Yi-long1. Microstructure Characteristics of Nano Solid Waste High Sulfur Cement Based on XRD and FTIR[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(06): 1974-1980. |
[11] |
FENG Xiang-yu, JIANG Na, WANG Wei, LI Meng-qian, ZHAO Su-ling*, XU Zheng. One-Step Synthesis of Sulfur Quantum Dots and Electroluminescent Properties[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(05): 1569-1574. |
[12] |
ZHOU Qing-chao. Preparation and Optical Characterization of Copper Indium Sulfide Nanocrystal/PMMA Composite Film[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(12): 3672-3677. |
[13] |
SONG Jiang-tao, YUAN Yue-hua, ZHU Yong-jun, WANG Yu-zhen, TIAN Mao-zhong*, FENG Feng*. Research Progress of Near-Infrared Fluorescent Probes for Hydrogen Sulfide[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(11): 3321-3329. |
[14] |
WANG Lu1, SUN Feng1, 2*, WANG Ruo-su1, LIANG Ya-xin1, YAO Xue3, ZHAO Fan4. Analysis and Research on Color Paints for Cliff Statues in Qionglai Caves[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(10): 3198-3202. |
[15] |
GE Deng-yun, XU Min-min, YUAN Ya-xian*, YAO Jian-lin*. Surface-Enhanced Raman Spectroscopic Investigation on the Effect of
Solution pH on Dehydroxylation of Hydroxythiophenol Isomers[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(07): 2076-2081. |
|
|
|
|