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Frontiers of Environmental Science & Engineering

ISSN 2095-2201

ISSN 2095-221X(Online)

CN 10-1013/X

Postal Subscription Code 80-973

2018 Impact Factor: 3.883

Front. Environ. Sci. Eng.    2023, Vol. 17 Issue (3) : 35    https://doi.org/10.1007/s11783-023-1635-y
RESEARCH ARTICLE
Insights into the changes of amino acids, microbial community, and enzymatic activities related with the nutrient quality of product during the composting of food waste
Ying Xue, Keke Xiao(), Xiang Wu, Mei Sun, Yifei Liu, Bei Ou, Jiakuan Yang
School of Environmental Science and Engineering, Huazhong University of Science and Technology, Wuhan 430074, China
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Abstract

● The highest seed germination index was achieved at 0.3 g/g total solids of food waste.

● Proline was identified as the key amino acid related with the composting process.

● Amino acid metabolism sequences predominated during the whole composting process.

This study systematically investigated the changes of amino acids as the composting process of food waste proceeded. It is found that the addition of 0.3 g/g total solids of food waste achieved the highest seed germination index of the product (268 %). The microbial community results indicated that the abundance of amino acid metabolism sequences remained at high levels during the whole composting process. Proline was identified as the key amino acid related with the nutrient quality of product during the composting of food waste. Further plant germination and hydroponic experiments found, that compared with those without the addition of proline, the addition of 50 mg/L proline increased seed germination rate by 20 %, increased shoot length by 3 %, increased root biomass of seedlings by 82 %, and increased leaf biomass of seedlings by 76 %, respectively. Firmicutes, γ-Pseudomonadota, Chloroflexi and Planctomycetes were the key identified bacteria related with the increase of proline during the composting of food waste. Meanwhile, the enzymatic tests of the activities of superoxide dismutase, peroxidase and malondialdehyde indicated that proline did not cause oxidative damage on the growth of plants. This study provided novel insights into the changes of amino acids, microbial community, and enzymatic activities related with the nutrient quality of product during the composting of food waste.

Keywords Composting      Food waste      Amino acids      Microbial community      Enzymatic activity      Nutrient quality     
Corresponding Author(s): Keke Xiao   
About author:

Tongcan Cui and Yizhe Hou contributed equally to this work.

Issue Date: 17 October 2022
 Cite this article:   
Ying Xue,Keke Xiao,Xiang Wu, et al. Insights into the changes of amino acids, microbial community, and enzymatic activities related with the nutrient quality of product during the composting of food waste[J]. Front. Environ. Sci. Eng., 2023, 17(3): 35.
 URL:  
https://academic.hep.com.cn/fese/EN/10.1007/s11783-023-1635-y
https://academic.hep.com.cn/fese/EN/Y2023/V17/I3/35
Raw materials Moisture content (%) Organic matter pH NH4+ (mg/g) NO3 (mg/g) Total nitrogen (%) Total carbon (%)
Chicken manure 26.9 ± 0.5 64.3 % ± 0.7 % 8.88 ± 0.00 6.4 ± 0.1 1.0 ± 0.1 1.90 ± 0.00 27.6 ± 0.0
Sawdust 8.8 ± 0.1 845.6 ± 0.1 mg/g 0.05 ± 0.00 45.7 ± 0.1
Food waste 73.3 ± 1.1 94.6 % ± 0.9 % 4.51 ± 0.00 0.6 ± 0.0 2.1 ± 0.1 3.40 ± 0.00 50.0 ± 0.0
Tab.1  The physicochemical characteristics of the chicken manure, sawdust and food waste (Unit: Raman Units)
Fig.1  Changes of food waste characteristics: (a) Temperature, (b) organic matter, (c) pH, (d) EC, (e) germination index, and (f) protein content. TS denotes total solids.
Fig.2  3D-EEM contours of DOM in food waste: (a) 0, (b) 0.1, (c) 0.3, and (d) 0.5 g/g total solids (TS). I: tyrosine-like proteins; II: tryptophan-like protein; III: fulvic acid-like components; IV: soluble microbial by-product like components; V: humic acid-like organic components. Ex denotes excitation, and Em denotes emission.
Dose of food waste Incubation time Aromatic proteins Fulvic acid-like organic components Soluble microbial by-product like components Humic acid-like organic components
0 g/gtotal solids (TS) Day 1 59044 238707 102881 486137
Day 3 49265 245151 110280 632532
Day 5 50488 233847 108153 635818
Day 8 54145 225678 107080 606618
Day 12 44281 215491 89409 563069
Day 17 33333 213221 83449 598151
Day 25 28597 217047 70699 509095
Day 35 30843 227075 64158 367100
0.1g/g TS Day 1 109110 303872 155756 604673
Day 3 59730 270537 130536 767257
Day 5 54878 251621 128266 767627
Day 8 61975 243067 136982 780370
Day 12 50872 220888 115108 763813
Day 17 35724 201760 93549 683229
Day 25 30569 209685 76065 556987
Day 35 31359 239076 82965 654369
0.3g/g TS Day 1 155625 360998 242026 886894
Day 3 162658 486295 287906 1105417
Day 5 128860 384614 286971 1198404
Day 8 92034 337406 220188 1337326
Day 12 41721 259509 109472 1000296
Day 17 37621 263841 101638 1005078
Day 25 27549 234607 83875 863861
Day 35 23642 248283 76200 798682
0.5g/g TS Day 1 229724 428258 391353 872320
Day 3 211816 528811 383322 1135861
Day 5 174439 545409 401796 1506349
Day 8 71244 380739 223850 1911011
Day 12 54359 367460 158198 1585312
Day 17 38412 325748 119853 1385685
Day 25 30697 276800 99949 1233069
Day 35 27173 280807 91627 1184460
Tab.2  Changes of organic components during the composting of food waste (Unit: Raman Units)
Fig.3  Evolution of N 1s XPS spectra of food waste: (a) 0 g/g total solids (TS)-day 1; (b) 0 g/g TS-day 35; (c) 0.1 g/g TS-day 1; (d) 0.1 g/g TS-day 35; (e) 0.3 g/g TS-day 1; (f) 0.3 g/g TS-day 35; (g) 0.5 g/g TS-day 1; (h) 0.5 g/g TS-day 35. The open squares represent the integrated peaks, and different colors of the open squares represent different integrated peaks (I, II, III, or IV). Integrated peak I denotes protein-N; integrated peak II denotes pyrrole-N; integrated peak III denotes pyridine-N, and the integrated peak IV denotes other-N.
Fig.4  Changes of amino acids during the composting of food waste: (a) 0, (b) 0.1, (c) 0.3, and (d) 0.5 g/g total solids (TS).
Fig.5  Composition of the bacterial community: (a) phylum level and (b) genus level. TS denotes total solids.
Fig.6  Heatmap correlation analysis between the physicochemical properties and bacterial community at phylum level. The ones with the numbers mean the correlation was significant, with p value less than 0.05, while those without the numbers shown mean the correlation was insignificant, with p value more than 0.05.
Fig.7  (a) Germination rate and seedling length of seed exposure to different concentrations of proline; (b) biomass of root and shoot and soluble sugar of Chinese cabbage after 14 d exposure to different concentrations of proline; (c) parameters of the antioxidant defense system in Chinese cabbage leaves after 14 d exposure to different concentrations of proline.
AAs Amino acids
ANOVA One-way analysis of variance
DOM Dissolved organic matter
EC Electrical conductivity
3D-EEM Three-dimensional excitation emission matrix
Em Emission
Ex Excitation
FW Food waste
GI Germination index
KEGG Kyoto Encyclopedia of Genes and Genomes
MDA Malondialdehyde
NBT Nitro blue tetrazole
OM Organic matter
OTUs Operational taxonomic units
PBS Phosphate buffered saline
PCR Polymerase chain reactions
POD Peroxidase
Pro Proline
PVP Polyvinyl pyrrolidone K-30
RU Raman Units
ROS Reactive oxygen species
SOD Superoxide dismutase
TS Total solids
XPS X-ray photoelectron spectroscopy
  
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